2024/11/02 11:51:09 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.10.6 (main, Mar 10 2023, 10:55:28) [GCC 11.3.0] CUDA available: True MUSA available: False numpy_random_seed: 624982218 GPU 0,1,2,3,4,5,6,7: NVIDIA L20 CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 12.1, V12.1.105 GCC: x86_64-linux-gnu-gcc (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0 PyTorch: 2.2.1+cu121 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201703 - Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v3.3.2 (Git Hash 2dc95a2ad0841e29db8b22fbccaf3e5da7992b01) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX512 - CUDA Runtime 12.1 - NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90 - CuDNN 8.9.2 - Magma 2.6.1 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.1, CUDNN_VERSION=8.9.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=2.2.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, TorchVision: 0.17.1+cu121 OpenCV: 4.6.0 MMEngine: 0.10.5 Runtime environment: cudnn_benchmark: False mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl', 'timeout': 36000} seed: 624982218 Distributed launcher: pytorch Distributed training: True GPU number: 8 ------------------------------------------------------------ 2024/11/02 11:51:11 - mmengine - INFO - Config: auto_scale_lr = dict(base_batch_size=16, enable=True) backend_args = None caption_dataset = dict( actual_dataset_mode='OD', ann_file='LLaVA-ReCap-558K_tag_box_vg7.json', backend_args=None, data_prefix=dict(img='images/'), data_root='../grounding_data/llava_cap/', filter_cfg=dict(filter_empty_gt=False), label_map_file=None, pipeline=[ dict(backend_args=None, type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), dict( keep_ratio=True, scales=[ ( 480, 1333, ), ( 512, 1333, ), ( 544, 1333, ), ( 576, 1333, ), ( 608, 1333, ), ( 640, 1333, ), ( 672, 1333, ), ( 704, 1333, ), ( 736, 1333, ), ( 768, 1333, ), ( 800, 1333, ), ], type='RandomChoiceResize'), dict(min_gt_bbox_wh=( 0.01, 0.01, ), type='FilterAnnotations'), dict( lmm_max_token_length=1200, max_tokens=256, num_region_caption=16, num_sample_negative=85, tokenizer_name='../huggingface/bert-base-uncased/', tokenizer_name2= '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', type='RandomSamplingNegPos2'), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'flip', 'flip_direction', 'text', 'tags', 'contrast_conv', 'custom_entities', 'tokens_positive', 'dataset_mode', 'conversations', 'region_conversations', ), type='PackDetInputs'), ], return_classes=True, type='ODVGDataset') coco2017_train_dataset = dict( actual_dataset_mode='OD', ann_file='annotations/instances_train2017_vg_merged6.json', backend_args=None, data_prefix=dict(img='train2017'), data_root='../grounding_data/coco/', filter_cfg=dict(filter_empty_gt=False), pipeline=[ dict(backend_args=None, type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), dict( keep_ratio=True, scales=[ ( 480, 1333, ), ( 512, 1333, ), ( 544, 1333, ), ( 576, 1333, ), ( 608, 1333, ), ( 640, 1333, ), ( 672, 1333, ), ( 704, 1333, ), ( 736, 1333, ), ( 768, 1333, ), ( 800, 1333, ), ], type='RandomChoiceResize'), dict(min_gt_bbox_wh=( 0.01, 0.01, ), type='FilterAnnotations'), dict( lmm_max_token_length=1200, max_tokens=256, num_region_caption=16, num_sample_negative=85, tokenizer_name='../huggingface/bert-base-uncased/', tokenizer_name2= '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', type='RandomSamplingNegPos2'), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'flip', 'flip_direction', 'text', 'tags', 'contrast_conv', 'custom_entities', 'tokens_positive', 'dataset_mode', 'conversations', 'region_conversations', ), type='PackDetInputs'), ], return_classes=True, type='ODVGDataset') data_root = '../grounding_data/coco/' dataset_type = 'LVISV1Dataset' default_hooks = dict( checkpoint=dict( by_epoch=False, interval=30000, max_keep_ckpts=30, type='CheckpointHook'), logger=dict(interval=100, type='LoggerHook'), param_scheduler=dict(type='ParamSchedulerHook'), sampler_seed=dict(type='DistSamplerSeedHook'), timer=dict(type='IterTimerHook'), visualization=dict(type='GroundingVisualizationHook')) default_scope = 'mmdet' env_cfg = dict( cudnn_benchmark=False, dist_cfg=dict(backend='nccl', timeout=36000), mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0)) flickr30k_dataset = dict( actual_dataset_mode='VG', ann_file='flickr_train_vg7.json', backend_args=None, data_prefix=dict(img='flickr30k_images/'), data_root='../grounding_data/flickr30k_entities/', filter_cfg=dict(filter_empty_gt=False), label_map_file=None, pipeline=[ dict(backend_args=None, type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), dict( keep_ratio=True, scales=[ ( 480, 1333, ), ( 512, 1333, ), ( 544, 1333, ), ( 576, 1333, ), ( 608, 1333, ), ( 640, 1333, ), ( 672, 1333, ), ( 704, 1333, ), ( 736, 1333, ), ( 768, 1333, ), ( 800, 1333, ), ], type='RandomChoiceResize'), dict(min_gt_bbox_wh=( 0.01, 0.01, ), type='FilterAnnotations'), dict( lmm_max_token_length=1200, max_tokens=256, num_region_caption=16, num_sample_negative=85, tokenizer_name='../huggingface/bert-base-uncased/', tokenizer_name2= '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', type='RandomSamplingNegPos2'), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'flip', 'flip_direction', 'text', 'tags', 'contrast_conv', 'custom_entities', 'tokens_positive', 'dataset_mode', 'conversations', 'region_conversations', ), type='PackDetInputs'), ], return_classes=True, type='ODVGDataset') gqa_dataset = dict( actual_dataset_mode='VG', ann_file='gqa_train_vg7.json', backend_args=None, data_prefix=dict(img='images/'), data_root='../grounding_data/gqa/', filter_cfg=dict(filter_empty_gt=False), label_map_file=None, pipeline=[ dict(backend_args=None, type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), dict( keep_ratio=True, scales=[ ( 480, 1333, ), ( 512, 1333, ), ( 544, 1333, ), ( 576, 1333, ), ( 608, 1333, ), ( 640, 1333, ), ( 672, 1333, ), ( 704, 1333, ), ( 736, 1333, ), ( 768, 1333, ), ( 800, 1333, ), ], type='RandomChoiceResize'), dict(min_gt_bbox_wh=( 0.01, 0.01, ), type='FilterAnnotations'), dict( lmm_max_token_length=1200, max_tokens=256, num_region_caption=16, num_sample_negative=85, tokenizer_name='../huggingface/bert-base-uncased/', tokenizer_name2= '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', type='RandomSamplingNegPos2'), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'flip', 'flip_direction', 'text', 'tags', 'contrast_conv', 'custom_entities', 'tokens_positive', 'dataset_mode', 'conversations', 'region_conversations', ), type='PackDetInputs'), ], return_classes=True, type='ODVGDataset') lang_model_name = '../huggingface/bert-base-uncased/' launcher = 'pytorch' lmm_max_token_length = 1200 lmm_path = '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/' load_from = '../huggingface/mm_grounding_dino/grounding_dino_swin-t_pretrain_obj365_goldg_grit9m_v3det_20231204_095047-b448804b.pth' log_level = 'INFO' log_processor = dict(by_epoch=False, type='LogProcessor', window_size=50) max_iter = 150000 model = dict( as_two_stage=True, backbone=dict( attn_drop_rate=0.0, convert_weights=True, depths=[ 2, 2, 6, 2, ], drop_path_rate=0.2, drop_rate=0.0, embed_dims=96, frozen_stages=-1, init_cfg=dict(checkpoint=None, type='Pretrained'), mlp_ratio=4, num_heads=[ 3, 6, 12, 24, ], out_indices=( 1, 2, 3, ), patch_norm=True, qk_scale=None, qkv_bias=True, type='SwinTransformer', window_size=7, with_cp=True), bbox_head=dict( contrastive_cfg=dict(bias=True, log_scale='auto', max_text_len=256), loss_bbox=dict(loss_weight=5.0, type='L1Loss'), loss_cls=dict( alpha=0.25, gamma=2.0, loss_weight=1.0, type='FocalLoss', use_sigmoid=True), num_classes=256, sync_cls_avg_factor=True, type='GroundingDINOHead'), data_preprocessor=dict( bgr_to_rgb=True, mean=[ 123.675, 116.28, 103.53, ], pad_mask=False, std=[ 58.395, 57.12, 57.375, ], type='DetDataPreprocessor'), decoder=dict( layer_cfg=dict( cross_attn_cfg=dict(dropout=0.0, embed_dims=256, num_heads=8), cross_attn_text_cfg=dict(dropout=0.0, embed_dims=256, num_heads=8), ffn_cfg=dict( embed_dims=256, feedforward_channels=2048, ffn_drop=0.0), self_attn_cfg=dict(dropout=0.0, embed_dims=256, num_heads=8)), num_layers=6, post_norm_cfg=None, return_intermediate=True), dn_cfg=dict( box_noise_scale=1.0, group_cfg=dict(dynamic=True, num_dn_queries=100, num_groups=None), label_noise_scale=0.5), encoder=dict( fusion_layer_cfg=dict( embed_dim=1024, init_values=0.0001, l_dim=256, num_heads=4, v_dim=256), layer_cfg=dict( ffn_cfg=dict( embed_dims=256, feedforward_channels=2048, ffn_drop=0.0), self_attn_cfg=dict(dropout=0.0, embed_dims=256, num_levels=4)), num_cp=6, num_layers=6, text_layer_cfg=dict( ffn_cfg=dict( embed_dims=256, feedforward_channels=1024, ffn_drop=0.0), self_attn_cfg=dict(dropout=0.0, embed_dims=256, num_heads=4))), feature_map_size=27, freeze_backbone=True, freeze_lm=False, language_model=dict( add_pooling_layer=False, max_tokens=256, name='../huggingface/bert-base-uncased/', pad_to_max=False, special_tokens_list=[ '[CLS]', '[SEP]', '.', '?', ], type='BertModel', use_sub_sentence_represent=True), lmm='../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', lmm_connector= '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/mm_projector2.bin', lmm_connector_prefix='mm_projector', lmm_image_loss_weight=1.0, lmm_max_token_length=1200, lmm_new_layer_insert_type='all', lmm_region_loss_weight=1.0, lora_alpha=256, lora_dropout=0, lora_r=128, mini_query=False, neck=dict( act_cfg=None, bias=True, in_channels=[ 192, 384, 768, ], kernel_size=1, norm_cfg=dict(num_groups=32, type='GN'), num_outs=4, out_channels=256, type='ChannelMapper'), num_lmm_new_layers=6, num_queries=900, num_region_caption=16, positional_encoding=dict( normalize=True, num_feats=128, offset=0.0, temperature=20), test_cfg=dict(chunked_size=40, max_per_img=300), train_cfg=dict( assigner=dict( match_costs=[ dict(type='BinaryFocalLossCost', weight=2.0), dict(box_format='xywh', type='BBoxL1Cost', weight=5.0), dict(iou_mode='giou', type='IoUCost', weight=2.0), ], type='HungarianAssigner')), type='GroundingDINO', use_lmm_cross_attn=True, use_lora=True, use_plora=False, use_query_input=False, use_query_input_cross_attn=False, with_box_refine=True) num_region_caption = 16 optim_wrapper = dict( clip_grad=dict(max_norm=0.1, norm_type=2), loss_scale='dynamic', optimizer=dict(lr=0.0001, type='AdamW', weight_decay=0.0001), paramwise_cfg=dict( custom_keys=dict( absolute_pos_embed=dict(decay_mult=0.0), backbone=dict(lr_mult=0.1), language_model=dict(lr_mult=0.1))), type='AmpOptimWrapper') param_scheduler = [ dict( begin=0, by_epoch=False, end=1000, start_factor=0.001, type='LinearLR'), dict( begin=0, by_epoch=False, end=150000, gamma=0.1, milestones=[ 120000, 140000, ], type='MultiStepLR'), ] pretrained = None randomness = dict(seed=624982218) resume = False test_cfg = dict(type='TestLoop') test_dataloader = dict( batch_size=1, dataset=dict( ann_file='annotations/lvis_v1_minival_inserted_image_name.json', backend_args=None, data_prefix=dict(img=''), data_root='../grounding_data/coco/', pipeline=[ dict( backend_args=None, imdecode_backend='pillow', type='LoadImageFromFile'), dict( backend='pillow', keep_ratio=True, scale=( 800, 1333, ), type='FixScaleResize'), dict(type='LoadAnnotations', with_bbox=True), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'text', 'custom_entities', 'tokens_positive', ), type='PackDetInputs'), ], return_classes=True, test_mode=True, type='LVISV1Dataset'), drop_last=False, num_workers=2, persistent_workers=True, sampler=dict(shuffle=False, type='DefaultSampler')) test_evaluator = dict( ann_file= '../grounding_data/coco/annotations/lvis_v1_minival_inserted_image_name.json', type='LVISFixedAPMetric') test_pipeline = [ dict( backend_args=None, imdecode_backend='pillow', type='LoadImageFromFile'), dict( backend='pillow', keep_ratio=True, scale=( 800, 1333, ), type='FixScaleResize'), dict(type='LoadAnnotations', with_bbox=True), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'text', 'custom_entities', 'tokens_positive', ), type='PackDetInputs'), ] train_cfg = dict( max_iters=150000, type='IterBasedTrainLoop', val_interval=30000) train_dataloader = dict( batch_sampler=dict(type='AspectRatioBatchSampler'), batch_size=2, dataset=dict( datasets=[ dict( actual_dataset_mode='OD', ann_file='annotations/instances_train2017_vg_merged6.json', backend_args=None, data_prefix=dict(img='train2017'), data_root='../grounding_data/coco/', filter_cfg=dict(filter_empty_gt=False), pipeline=[ dict(backend_args=None, type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), dict( keep_ratio=True, scales=[ ( 480, 1333, ), ( 512, 1333, ), ( 544, 1333, ), ( 576, 1333, ), ( 608, 1333, ), ( 640, 1333, ), ( 672, 1333, ), ( 704, 1333, ), ( 736, 1333, ), ( 768, 1333, ), ( 800, 1333, ), ], type='RandomChoiceResize'), dict( min_gt_bbox_wh=( 0.01, 0.01, ), type='FilterAnnotations'), dict( lmm_max_token_length=1200, max_tokens=256, num_region_caption=16, num_sample_negative=85, tokenizer_name='../huggingface/bert-base-uncased/', tokenizer_name2= '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', type='RandomSamplingNegPos2'), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'flip', 'flip_direction', 'text', 'tags', 'contrast_conv', 'custom_entities', 'tokens_positive', 'dataset_mode', 'conversations', 'region_conversations', ), type='PackDetInputs'), ], return_classes=True, type='ODVGDataset'), dict( actual_dataset_mode='VG', ann_file='flickr_train_vg7.json', backend_args=None, data_prefix=dict(img='flickr30k_images/'), data_root='../grounding_data/flickr30k_entities/', filter_cfg=dict(filter_empty_gt=False), label_map_file=None, pipeline=[ dict(backend_args=None, type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), dict( keep_ratio=True, scales=[ ( 480, 1333, ), ( 512, 1333, ), ( 544, 1333, ), ( 576, 1333, ), ( 608, 1333, ), ( 640, 1333, ), ( 672, 1333, ), ( 704, 1333, ), ( 736, 1333, ), ( 768, 1333, ), ( 800, 1333, ), ], type='RandomChoiceResize'), dict( min_gt_bbox_wh=( 0.01, 0.01, ), type='FilterAnnotations'), dict( lmm_max_token_length=1200, max_tokens=256, num_region_caption=16, num_sample_negative=85, tokenizer_name='../huggingface/bert-base-uncased/', tokenizer_name2= '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', type='RandomSamplingNegPos2'), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'flip', 'flip_direction', 'text', 'tags', 'contrast_conv', 'custom_entities', 'tokens_positive', 'dataset_mode', 'conversations', 'region_conversations', ), type='PackDetInputs'), ], return_classes=True, type='ODVGDataset'), dict( actual_dataset_mode='VG', ann_file='gqa_train_vg7.json', backend_args=None, data_prefix=dict(img='images/'), data_root='../grounding_data/gqa/', filter_cfg=dict(filter_empty_gt=False), label_map_file=None, pipeline=[ dict(backend_args=None, type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), dict( keep_ratio=True, scales=[ ( 480, 1333, ), ( 512, 1333, ), ( 544, 1333, ), ( 576, 1333, ), ( 608, 1333, ), ( 640, 1333, ), ( 672, 1333, ), ( 704, 1333, ), ( 736, 1333, ), ( 768, 1333, ), ( 800, 1333, ), ], type='RandomChoiceResize'), dict( min_gt_bbox_wh=( 0.01, 0.01, ), type='FilterAnnotations'), dict( lmm_max_token_length=1200, max_tokens=256, num_region_caption=16, num_sample_negative=85, tokenizer_name='../huggingface/bert-base-uncased/', tokenizer_name2= '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', type='RandomSamplingNegPos2'), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'flip', 'flip_direction', 'text', 'tags', 'contrast_conv', 'custom_entities', 'tokens_positive', 'dataset_mode', 'conversations', 'region_conversations', ), type='PackDetInputs'), ], return_classes=True, type='ODVGDataset'), dict( actual_dataset_mode='OD', ann_file='LLaVA-ReCap-558K_tag_box_vg7.json', backend_args=None, data_prefix=dict(img='images/'), data_root='../grounding_data/llava_cap/', filter_cfg=dict(filter_empty_gt=False), label_map_file=None, pipeline=[ dict(backend_args=None, type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), dict( keep_ratio=True, scales=[ ( 480, 1333, ), ( 512, 1333, ), ( 544, 1333, ), ( 576, 1333, ), ( 608, 1333, ), ( 640, 1333, ), ( 672, 1333, ), ( 704, 1333, ), ( 736, 1333, ), ( 768, 1333, ), ( 800, 1333, ), ], type='RandomChoiceResize'), dict( min_gt_bbox_wh=( 0.01, 0.01, ), type='FilterAnnotations'), dict( lmm_max_token_length=1200, max_tokens=256, num_region_caption=16, num_sample_negative=85, tokenizer_name='../huggingface/bert-base-uncased/', tokenizer_name2= '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', type='RandomSamplingNegPos2'), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'flip', 'flip_direction', 'text', 'tags', 'contrast_conv', 'custom_entities', 'tokens_positive', 'dataset_mode', 'conversations', 'region_conversations', ), type='PackDetInputs'), ], return_classes=True, type='ODVGDataset'), dict( actual_dataset_mode='OD', ann_file='annotations/v3det_2023_v1_train_vg7.json', backend_args=None, data_prefix=dict(img=''), data_root='../grounding_data/v3det/', filter_cfg=dict(filter_empty_gt=False), label_map_file=None, pipeline=[ dict(backend_args=None, type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), dict( keep_ratio=True, scales=[ ( 480, 1333, ), ( 512, 1333, ), ( 544, 1333, ), ( 576, 1333, ), ( 608, 1333, ), ( 640, 1333, ), ( 672, 1333, ), ( 704, 1333, ), ( 736, 1333, ), ( 768, 1333, ), ( 800, 1333, ), ], type='RandomChoiceResize'), dict( min_gt_bbox_wh=( 0.01, 0.01, ), type='FilterAnnotations'), dict( lmm_max_token_length=1200, max_tokens=256, num_region_caption=16, num_sample_negative=85, tokenizer_name='../huggingface/bert-base-uncased/', tokenizer_name2= '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', type='RandomSamplingNegPos2'), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'flip', 'flip_direction', 'text', 'tags', 'contrast_conv', 'custom_entities', 'tokens_positive', 'dataset_mode', 'conversations', 'region_conversations', ), type='PackDetInputs'), ], return_classes=True, type='ODVGDataset'), ], type='ConcatDataset'), num_workers=4, persistent_workers=True, sampler=dict(shuffle=True, type='DefaultSampler')) train_pipeline = [ dict(backend_args=None, type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), dict( keep_ratio=True, scales=[ ( 480, 1333, ), ( 512, 1333, ), ( 544, 1333, ), ( 576, 1333, ), ( 608, 1333, ), ( 640, 1333, ), ( 672, 1333, ), ( 704, 1333, ), ( 736, 1333, ), ( 768, 1333, ), ( 800, 1333, ), ], type='RandomChoiceResize'), dict(min_gt_bbox_wh=( 0.01, 0.01, ), type='FilterAnnotations'), dict( lmm_max_token_length=1200, max_tokens=256, num_region_caption=16, num_sample_negative=85, tokenizer_name='../huggingface/bert-base-uncased/', tokenizer_name2='../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', type='RandomSamplingNegPos2'), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'flip', 'flip_direction', 'text', 'tags', 'contrast_conv', 'custom_entities', 'tokens_positive', 'dataset_mode', 'conversations', 'region_conversations', ), type='PackDetInputs'), ] v3det_dataset = dict( actual_dataset_mode='OD', ann_file='annotations/v3det_2023_v1_train_vg7.json', backend_args=None, data_prefix=dict(img=''), data_root='../grounding_data/v3det/', filter_cfg=dict(filter_empty_gt=False), label_map_file=None, pipeline=[ dict(backend_args=None, type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), dict( keep_ratio=True, scales=[ ( 480, 1333, ), ( 512, 1333, ), ( 544, 1333, ), ( 576, 1333, ), ( 608, 1333, ), ( 640, 1333, ), ( 672, 1333, ), ( 704, 1333, ), ( 736, 1333, ), ( 768, 1333, ), ( 800, 1333, ), ], type='RandomChoiceResize'), dict(min_gt_bbox_wh=( 0.01, 0.01, ), type='FilterAnnotations'), dict( lmm_max_token_length=1200, max_tokens=256, num_region_caption=16, num_sample_negative=85, tokenizer_name='../huggingface/bert-base-uncased/', tokenizer_name2= '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', type='RandomSamplingNegPos2'), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'flip', 'flip_direction', 'text', 'tags', 'contrast_conv', 'custom_entities', 'tokens_positive', 'dataset_mode', 'conversations', 'region_conversations', ), type='PackDetInputs'), ], return_classes=True, type='ODVGDataset') val_cfg = dict(type='ValLoop') val_dataloader = dict( batch_size=1, dataset=dict( ann_file='annotations/lvis_v1_minival_inserted_image_name.json', backend_args=None, data_prefix=dict(img=''), data_root='../grounding_data/coco/', pipeline=[ dict( backend_args=None, imdecode_backend='pillow', type='LoadImageFromFile'), dict( backend='pillow', keep_ratio=True, scale=( 800, 1333, ), type='FixScaleResize'), dict(type='LoadAnnotations', with_bbox=True), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'text', 'custom_entities', 'tokens_positive', ), type='PackDetInputs'), ], return_classes=True, test_mode=True, type='LVISV1Dataset'), drop_last=False, num_workers=2, persistent_workers=True, sampler=dict(shuffle=False, type='DefaultSampler')) val_evaluator = dict( ann_file= '../grounding_data/coco/annotations/lvis_v1_minival_inserted_image_name.json', type='LVISFixedAPMetric') vis_backends = [ dict(type='LocalVisBackend'), ] visualizer = dict( name='visualizer', type='DetLocalVisualizer', vis_backends=[ dict(type='LocalVisBackend'), ]) work_dir = './work_dirs/grounding_dino_swin_t' 2024/11/02 11:55:45 - mmengine - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) RuntimeInfoHook (BELOW_NORMAL) LoggerHook -------------------- before_train: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (VERY_LOW ) CheckpointHook -------------------- before_train_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (NORMAL ) DistSamplerSeedHook -------------------- before_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook -------------------- after_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_train_epoch: (NORMAL ) IterTimerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_val: (VERY_HIGH ) RuntimeInfoHook -------------------- before_val_epoch: (NORMAL ) IterTimerHook -------------------- before_val_iter: (NORMAL ) IterTimerHook -------------------- after_val_iter: (NORMAL ) IterTimerHook (NORMAL ) GroundingVisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_val_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_val: (VERY_HIGH ) RuntimeInfoHook -------------------- after_train: (VERY_HIGH ) RuntimeInfoHook (VERY_LOW ) CheckpointHook -------------------- before_test: (VERY_HIGH ) RuntimeInfoHook -------------------- before_test_epoch: (NORMAL ) IterTimerHook -------------------- before_test_iter: (NORMAL ) IterTimerHook -------------------- after_test_iter: (NORMAL ) IterTimerHook (NORMAL ) GroundingVisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_test_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_test: (VERY_HIGH ) RuntimeInfoHook -------------------- after_run: (BELOW_NORMAL) LoggerHook -------------------- 2024/11/02 12:04:14 - mmengine - WARNING - backbone.patch_embed.projection.weight is skipped since its requires_grad=False 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requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - backbone.stages.0.blocks.0.attn.w_msa.proj.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - backbone.stages.0.blocks.0.attn.w_msa.proj.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - backbone.stages.0.blocks.0.norm2.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - backbone.stages.0.blocks.0.norm2.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - backbone.stages.0.blocks.0.ffn.layers.0.0.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - backbone.stages.0.blocks.0.ffn.layers.0.0.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - backbone.stages.0.blocks.0.ffn.layers.1.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - 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requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - backbone.stages.0.blocks.1.norm2.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - backbone.stages.0.blocks.1.norm2.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - backbone.stages.0.blocks.1.ffn.layers.0.0.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - backbone.stages.0.blocks.1.ffn.layers.0.0.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - backbone.stages.0.blocks.1.ffn.layers.1.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - backbone.stages.0.blocks.1.ffn.layers.1.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - backbone.stages.0.downsample.norm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - backbone.stages.0.downsample.norm.bias is 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language_model.language_backbone.body.model.encoder.layer.10.attention.output.dense.weight:weight_decay=0.0001 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.output.dense.weight:lr_mult=0.1 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.output.dense.bias:lr=1e-05 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.output.dense.bias:weight_decay=0.0001 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.output.dense.bias:lr_mult=0.1 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.output.LayerNorm.weight:lr=1e-05 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.output.LayerNorm.weight:weight_decay=0.0001 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.output.LayerNorm.weight:lr_mult=0.1 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.output.LayerNorm.bias:lr=1e-05 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.output.LayerNorm.bias:weight_decay=0.0001 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.output.LayerNorm.bias:lr_mult=0.1 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.intermediate.dense.weight:lr=1e-05 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.intermediate.dense.weight:weight_decay=0.0001 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.intermediate.dense.weight:lr_mult=0.1 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.intermediate.dense.bias:lr=1e-05 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.intermediate.dense.bias:weight_decay=0.0001 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.intermediate.dense.bias:lr_mult=0.1 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.output.dense.weight:lr=1e-05 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.output.dense.weight:weight_decay=0.0001 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.output.dense.weight:lr_mult=0.1 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.output.dense.bias:lr=1e-05 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.output.dense.bias:weight_decay=0.0001 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.output.dense.bias:lr_mult=0.1 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.output.LayerNorm.weight:lr=1e-05 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.output.LayerNorm.weight:weight_decay=0.0001 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.output.LayerNorm.weight:lr_mult=0.1 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.output.LayerNorm.bias:lr=1e-05 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.output.LayerNorm.bias:weight_decay=0.0001 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.output.LayerNorm.bias:lr_mult=0.1 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.11.attention.self.query.weight:lr=1e-05 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.11.attention.self.query.weight:weight_decay=0.0001 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.11.attention.self.query.weight:lr_mult=0.1 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.11.attention.self.query.bias:lr=1e-05 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.11.attention.self.query.bias:weight_decay=0.0001 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.11.attention.self.query.bias:lr_mult=0.1 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.11.attention.self.key.weight:lr=1e-05 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- 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-- language_model.language_backbone.body.model.encoder.layer.11.intermediate.dense.weight:weight_decay=0.0001 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.11.intermediate.dense.weight:lr_mult=0.1 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.11.intermediate.dense.bias:lr=1e-05 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.11.intermediate.dense.bias:weight_decay=0.0001 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.11.intermediate.dense.bias:lr_mult=0.1 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.11.output.dense.weight:lr=1e-05 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- 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language_model.language_backbone.body.model.encoder.layer.11.output.LayerNorm.weight:weight_decay=0.0001 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.11.output.LayerNorm.weight:lr_mult=0.1 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.11.output.LayerNorm.bias:lr=1e-05 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.11.output.LayerNorm.bias:weight_decay=0.0001 2024/11/02 12:04:14 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.11.output.LayerNorm.bias:lr_mult=0.1 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.embed_tokens.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.0.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 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WARNING - lmm.model.layers.1.post_attention_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.2.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.2.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.2.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.2.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.2.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.2.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - 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since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.3.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.3.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.3.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.3.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.3.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.3.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.3.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.3.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.3.input_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.3.post_attention_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.4.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.4.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.4.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.4.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - 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since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.5.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.5.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.5.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.5.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.5.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.5.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.5.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.5.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.5.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.5.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.5.input_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.5.post_attention_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.6.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.6.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - 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skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.6.input_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.6.post_attention_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.7.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.7.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.7.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.7.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.7.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.7.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.7.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.7.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.7.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.7.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.7.input_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.7.post_attention_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - 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lmm.model.layers.8.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.8.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.8.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.8.input_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.8.post_attention_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.9.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.9.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.9.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.9.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.9.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.9.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.9.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.9.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.9.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.9.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.9.input_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.9.post_attention_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.10.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.10.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.10.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.10.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.10.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - 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skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.12.post_attention_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.13.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.13.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.13.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.13.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.13.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.13.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.13.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.13.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.13.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.13.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.13.input_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.13.post_attention_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.14.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.14.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.14.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.14.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.14.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.14.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.14.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.14.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.14.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.14.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.14.input_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.14.post_attention_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.15.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.15.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.15.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.15.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.15.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.15.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.15.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.15.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.15.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.15.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.15.input_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.15.post_attention_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.16.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.16.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.16.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.16.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.16.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.16.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.16.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.16.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.16.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.16.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.16.input_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.16.post_attention_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.17.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.17.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.17.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.17.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.17.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.17.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.17.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.17.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.17.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.17.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.17.input_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.17.post_attention_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.18.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.18.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.18.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.18.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.18.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.18.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.18.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.18.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.18.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.18.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.18.input_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.18.post_attention_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.19.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.19.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.19.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.19.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.19.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.19.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.19.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.19.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.19.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.19.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.19.input_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.19.post_attention_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.20.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.20.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.20.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.20.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.20.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.20.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.20.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.20.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.20.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.20.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.20.input_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.20.post_attention_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.21.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.21.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.21.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.21.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.21.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.21.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.21.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.21.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.21.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.21.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.21.input_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.21.post_attention_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.22.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.22.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.22.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.22.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.22.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.22.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.22.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.22.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.22.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.22.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.22.input_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.22.post_attention_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.23.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.23.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.23.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.23.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.23.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.23.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.23.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.23.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.23.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.23.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.23.input_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.layers.23.post_attention_layernorm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.model.norm.weight is skipped since its requires_grad=False 2024/11/02 12:04:14 - mmengine - WARNING - lmm.lm_head.weight is skipped since its requires_grad=False 2024/11/02 12:04:15 - mmengine - INFO - LR is set based on batch size of 16 and the current batch size is 16. Scaling the original LR by 1.0. Name of parameter - Initialization information level_embed - torch.Size([4, 256]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.patch_embed.projection.weight - torch.Size([96, 3, 4, 4]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.patch_embed.projection.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.patch_embed.norm.weight - torch.Size([96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.patch_embed.norm.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.0.norm1.weight - torch.Size([96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.0.norm1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 3]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.0.attn.w_msa.qkv.weight - torch.Size([288, 96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.0.attn.w_msa.qkv.bias - torch.Size([288]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.0.attn.w_msa.proj.weight - torch.Size([96, 96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.0.attn.w_msa.proj.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.0.norm2.weight - torch.Size([96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.0.norm2.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.0.ffn.layers.0.0.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.0.ffn.layers.0.0.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.0.ffn.layers.1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.0.ffn.layers.1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.1.norm1.weight - torch.Size([96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.1.norm1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 3]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.1.attn.w_msa.qkv.weight - torch.Size([288, 96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.1.attn.w_msa.qkv.bias - torch.Size([288]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.1.attn.w_msa.proj.weight - torch.Size([96, 96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.1.attn.w_msa.proj.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.1.norm2.weight - torch.Size([96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.1.norm2.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.1.ffn.layers.0.0.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.1.ffn.layers.0.0.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.1.ffn.layers.1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.blocks.1.ffn.layers.1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.downsample.norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.downsample.norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.0.downsample.reduction.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.0.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.0.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 6]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.0.attn.w_msa.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.0.attn.w_msa.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.0.attn.w_msa.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.0.attn.w_msa.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.0.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.0.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.0.ffn.layers.0.0.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.0.ffn.layers.0.0.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.0.ffn.layers.1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.0.ffn.layers.1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.1.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.1.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 6]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.1.attn.w_msa.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.1.attn.w_msa.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.1.attn.w_msa.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.1.attn.w_msa.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.1.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.1.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.1.ffn.layers.0.0.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.1.ffn.layers.0.0.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.1.ffn.layers.1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.blocks.1.ffn.layers.1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.downsample.norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.downsample.norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.1.downsample.reduction.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.0.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.0.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 12]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.0.attn.w_msa.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.0.attn.w_msa.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.0.attn.w_msa.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.0.attn.w_msa.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.0.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.0.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.0.ffn.layers.0.0.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.0.ffn.layers.0.0.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.0.ffn.layers.1.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.0.ffn.layers.1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.1.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.1.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 12]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.1.attn.w_msa.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.1.attn.w_msa.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.1.attn.w_msa.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.1.attn.w_msa.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.1.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.1.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.1.ffn.layers.0.0.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.1.ffn.layers.0.0.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.1.ffn.layers.1.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.1.ffn.layers.1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.2.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.2.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.2.attn.w_msa.relative_position_bias_table - torch.Size([169, 12]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.2.attn.w_msa.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.2.attn.w_msa.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.2.attn.w_msa.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.2.attn.w_msa.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.2.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.2.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.2.ffn.layers.0.0.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.2.ffn.layers.0.0.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.2.ffn.layers.1.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.2.ffn.layers.1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.3.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.3.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.3.attn.w_msa.relative_position_bias_table - torch.Size([169, 12]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.3.attn.w_msa.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.3.attn.w_msa.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.3.attn.w_msa.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.3.attn.w_msa.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.3.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.3.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.3.ffn.layers.0.0.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.3.ffn.layers.0.0.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.3.ffn.layers.1.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.3.ffn.layers.1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.4.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.4.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.4.attn.w_msa.relative_position_bias_table - torch.Size([169, 12]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.4.attn.w_msa.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.4.attn.w_msa.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.4.attn.w_msa.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.4.attn.w_msa.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.4.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.4.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.4.ffn.layers.0.0.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.4.ffn.layers.0.0.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.4.ffn.layers.1.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.4.ffn.layers.1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.5.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.5.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.5.attn.w_msa.relative_position_bias_table - torch.Size([169, 12]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.5.attn.w_msa.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.5.attn.w_msa.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.5.attn.w_msa.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.5.attn.w_msa.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.5.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.5.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.5.ffn.layers.0.0.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.5.ffn.layers.0.0.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.5.ffn.layers.1.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.blocks.5.ffn.layers.1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.downsample.norm.weight - torch.Size([1536]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.downsample.norm.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.2.downsample.reduction.weight - torch.Size([768, 1536]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.0.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.0.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 24]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.0.attn.w_msa.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.0.attn.w_msa.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.0.attn.w_msa.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.0.attn.w_msa.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.0.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.0.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.0.ffn.layers.0.0.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.0.ffn.layers.0.0.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.0.ffn.layers.1.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.0.ffn.layers.1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.1.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.1.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 24]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.1.attn.w_msa.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.1.attn.w_msa.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.1.attn.w_msa.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.1.attn.w_msa.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.1.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.1.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.1.ffn.layers.0.0.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.1.ffn.layers.0.0.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.1.ffn.layers.1.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.stages.3.blocks.1.ffn.layers.1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.norm3.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO backbone.norm3.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO neck.convs.0.conv.weight - torch.Size([256, 192, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO neck.convs.0.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO neck.convs.0.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO neck.convs.1.conv.weight - torch.Size([256, 384, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO neck.convs.1.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO neck.convs.1.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO neck.convs.2.conv.weight - torch.Size([256, 768, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO neck.convs.2.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO neck.convs.2.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO neck.extra_convs.0.conv.weight - torch.Size([256, 768, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.extra_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO neck.extra_convs.0.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO neck.extra_convs.0.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.cls_branches.0.bias - torch.Size([1]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.cls_branches.1.bias - torch.Size([1]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.cls_branches.2.bias - torch.Size([1]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.cls_branches.3.bias - torch.Size([1]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.cls_branches.4.bias - torch.Size([1]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.cls_branches.5.bias - torch.Size([1]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.cls_branches.6.bias - torch.Size([1]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.0.0.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.0.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.0.2.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.0.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.0.4.weight - torch.Size([4, 256]): Initialized by user-defined `init_weights` in GroundingDINOHead bbox_head.reg_branches.0.4.bias - torch.Size([4]): Initialized by user-defined `init_weights` in GroundingDINOHead bbox_head.reg_branches.1.0.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.1.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.1.2.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.1.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.1.4.weight - torch.Size([4, 256]): Initialized by user-defined `init_weights` in GroundingDINOHead bbox_head.reg_branches.1.4.bias - torch.Size([4]): Initialized by user-defined `init_weights` in GroundingDINOHead bbox_head.reg_branches.2.0.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.2.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.2.2.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.2.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.2.4.weight - torch.Size([4, 256]): Initialized by user-defined `init_weights` in GroundingDINOHead bbox_head.reg_branches.2.4.bias - torch.Size([4]): Initialized by user-defined `init_weights` in GroundingDINOHead bbox_head.reg_branches.3.0.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.3.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.3.2.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.3.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.3.4.weight - torch.Size([4, 256]): Initialized by user-defined `init_weights` in GroundingDINOHead bbox_head.reg_branches.3.4.bias - torch.Size([4]): Initialized by user-defined `init_weights` in GroundingDINOHead bbox_head.reg_branches.4.0.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.4.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.4.2.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.4.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.4.4.weight - torch.Size([4, 256]): Initialized by user-defined `init_weights` in GroundingDINOHead bbox_head.reg_branches.4.4.bias - torch.Size([4]): Initialized by user-defined `init_weights` in GroundingDINOHead bbox_head.reg_branches.5.0.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.5.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.5.2.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.5.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.5.4.weight - torch.Size([4, 256]): Initialized by user-defined `init_weights` in GroundingDINOHead bbox_head.reg_branches.5.4.bias - torch.Size([4]): Initialized by user-defined `init_weights` in GroundingDINOHead bbox_head.reg_branches.6.0.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.6.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.6.2.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.6.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO bbox_head.reg_branches.6.4.weight - torch.Size([4, 256]): Initialized by user-defined `init_weights` in GroundingDINOHead bbox_head.reg_branches.6.4.bias - torch.Size([4]): Initialized by user-defined `init_weights` in GroundingDINOHead encoder.layers.0.self_attn.sampling_offsets.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.0.self_attn.sampling_offsets.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.0.self_attn.attention_weights.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.0.self_attn.attention_weights.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.0.self_attn.value_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.0.self_attn.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.0.self_attn.output_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.0.self_attn.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.0.ffn.layers.0.0.weight - torch.Size([2048, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.0.ffn.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.0.ffn.layers.1.weight - torch.Size([256, 2048]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.0.ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.0.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.0.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.0.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.0.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.1.self_attn.sampling_offsets.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.1.self_attn.sampling_offsets.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.1.self_attn.attention_weights.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.1.self_attn.attention_weights.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.1.self_attn.value_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.1.self_attn.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.1.self_attn.output_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.1.self_attn.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.1.ffn.layers.0.0.weight - torch.Size([2048, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.1.ffn.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.1.ffn.layers.1.weight - torch.Size([256, 2048]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.1.ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.1.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.1.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.1.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.1.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.2.self_attn.sampling_offsets.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.2.self_attn.sampling_offsets.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.2.self_attn.attention_weights.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.2.self_attn.attention_weights.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.2.self_attn.value_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.2.self_attn.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.2.self_attn.output_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.2.self_attn.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.2.ffn.layers.0.0.weight - torch.Size([2048, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.2.ffn.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.2.ffn.layers.1.weight - torch.Size([256, 2048]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.2.ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.2.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.2.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.2.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.2.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.3.self_attn.sampling_offsets.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.3.self_attn.sampling_offsets.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.3.self_attn.attention_weights.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.3.self_attn.attention_weights.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.3.self_attn.value_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.3.self_attn.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.3.self_attn.output_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.3.self_attn.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.3.ffn.layers.0.0.weight - torch.Size([2048, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.3.ffn.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.3.ffn.layers.1.weight - torch.Size([256, 2048]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.3.ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.3.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.3.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.3.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.3.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.4.self_attn.sampling_offsets.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.4.self_attn.sampling_offsets.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.4.self_attn.attention_weights.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.4.self_attn.attention_weights.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.4.self_attn.value_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.4.self_attn.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.4.self_attn.output_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.4.self_attn.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.4.ffn.layers.0.0.weight - torch.Size([2048, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.4.ffn.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.4.ffn.layers.1.weight - torch.Size([256, 2048]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.4.ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.4.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.4.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.4.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.4.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.5.self_attn.sampling_offsets.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.5.self_attn.sampling_offsets.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.5.self_attn.attention_weights.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.5.self_attn.attention_weights.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.5.self_attn.value_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.5.self_attn.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.5.self_attn.output_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.5.self_attn.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.5.ffn.layers.0.0.weight - torch.Size([2048, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.5.ffn.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.5.ffn.layers.1.weight - torch.Size([256, 2048]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.5.ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.5.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.5.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.5.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.layers.5.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.0.self_attn.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.0.self_attn.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.0.self_attn.attn.out_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.0.self_attn.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.0.ffn.layers.0.0.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.0.ffn.layers.0.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.0.ffn.layers.1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.0.ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.0.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.0.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.0.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.0.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.1.self_attn.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.1.self_attn.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.1.self_attn.attn.out_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.1.self_attn.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.1.ffn.layers.0.0.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.1.ffn.layers.0.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.1.ffn.layers.1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.1.ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.1.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.1.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.1.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.1.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.2.self_attn.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.2.self_attn.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.2.self_attn.attn.out_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.2.self_attn.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.2.ffn.layers.0.0.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.2.ffn.layers.0.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.2.ffn.layers.1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.2.ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.2.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.2.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.2.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.2.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.3.self_attn.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.3.self_attn.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.3.self_attn.attn.out_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.3.self_attn.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.3.ffn.layers.0.0.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.3.ffn.layers.0.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.3.ffn.layers.1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.3.ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.3.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.3.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.3.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.3.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.4.self_attn.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.4.self_attn.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.4.self_attn.attn.out_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.4.self_attn.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.4.ffn.layers.0.0.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.4.ffn.layers.0.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.4.ffn.layers.1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.4.ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.4.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.4.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.4.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.4.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.5.self_attn.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.5.self_attn.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.5.self_attn.attn.out_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.5.self_attn.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.5.ffn.layers.0.0.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.5.ffn.layers.0.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.5.ffn.layers.1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.5.ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.5.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.5.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.5.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.text_layers.5.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.0.gamma_v - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.0.gamma_l - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.0.layer_norm_v.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.0.layer_norm_v.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.0.layer_norm_l.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.0.layer_norm_l.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.0.attn.v_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.0.attn.v_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.0.attn.l_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.0.attn.l_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.0.attn.values_v_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.0.attn.values_v_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.0.attn.values_l_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.0.attn.values_l_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.0.attn.out_v_proj.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.0.attn.out_v_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.0.attn.out_l_proj.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.0.attn.out_l_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.1.gamma_v - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.1.gamma_l - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.1.layer_norm_v.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.1.layer_norm_v.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.1.layer_norm_l.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.1.layer_norm_l.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.1.attn.v_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.1.attn.v_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.1.attn.l_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.1.attn.l_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.1.attn.values_v_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.1.attn.values_v_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.1.attn.values_l_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.1.attn.values_l_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.1.attn.out_v_proj.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.1.attn.out_v_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.1.attn.out_l_proj.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.1.attn.out_l_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.2.gamma_v - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.2.gamma_l - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.2.layer_norm_v.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.2.layer_norm_v.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.2.layer_norm_l.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.2.layer_norm_l.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.2.attn.v_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.2.attn.v_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.2.attn.l_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.2.attn.l_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.2.attn.values_v_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.2.attn.values_v_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.2.attn.values_l_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.2.attn.values_l_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.2.attn.out_v_proj.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.2.attn.out_v_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.2.attn.out_l_proj.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.2.attn.out_l_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.3.gamma_v - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.3.gamma_l - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.3.layer_norm_v.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.3.layer_norm_v.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.3.layer_norm_l.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.3.layer_norm_l.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.3.attn.v_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.3.attn.v_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.3.attn.l_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.3.attn.l_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.3.attn.values_v_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.3.attn.values_v_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.3.attn.values_l_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.3.attn.values_l_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.3.attn.out_v_proj.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.3.attn.out_v_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.3.attn.out_l_proj.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.3.attn.out_l_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.4.gamma_v - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.4.gamma_l - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.4.layer_norm_v.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.4.layer_norm_v.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.4.layer_norm_l.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.4.layer_norm_l.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.4.attn.v_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.4.attn.v_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.4.attn.l_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.4.attn.l_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.4.attn.values_v_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.4.attn.values_v_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.4.attn.values_l_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.4.attn.values_l_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.4.attn.out_v_proj.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.4.attn.out_v_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.4.attn.out_l_proj.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.4.attn.out_l_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.5.gamma_v - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.5.gamma_l - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.5.layer_norm_v.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.5.layer_norm_v.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.5.layer_norm_l.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.5.layer_norm_l.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.5.attn.v_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.5.attn.v_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.5.attn.l_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.5.attn.l_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.5.attn.values_v_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.5.attn.values_v_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.5.attn.values_l_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.5.attn.values_l_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.5.attn.out_v_proj.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.5.attn.out_v_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.5.attn.out_l_proj.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of GroundingDINO encoder.fusion_layers.5.attn.out_l_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.self_attn.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.self_attn.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.self_attn.attn.out_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.self_attn.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.cross_attn_text.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.cross_attn_text.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.cross_attn_text.attn.out_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.cross_attn_text.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.cross_attn.sampling_offsets.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.cross_attn.attention_weights.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.cross_attn.attention_weights.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.cross_attn.value_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.cross_attn.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.cross_attn.output_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.cross_attn.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.ffn.layers.0.0.weight - torch.Size([2048, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.ffn.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.ffn.layers.1.weight - torch.Size([256, 2048]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.norms.3.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.0.norms.3.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.self_attn.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.self_attn.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.self_attn.attn.out_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.self_attn.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.cross_attn_text.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.cross_attn_text.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.cross_attn_text.attn.out_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.cross_attn_text.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.cross_attn.sampling_offsets.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.cross_attn.attention_weights.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.cross_attn.attention_weights.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.cross_attn.value_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.cross_attn.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.cross_attn.output_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.cross_attn.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.ffn.layers.0.0.weight - torch.Size([2048, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.ffn.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.ffn.layers.1.weight - torch.Size([256, 2048]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.norms.3.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.1.norms.3.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.self_attn.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.self_attn.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.self_attn.attn.out_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.self_attn.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.cross_attn_text.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.cross_attn_text.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.cross_attn_text.attn.out_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.cross_attn_text.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.cross_attn.sampling_offsets.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.cross_attn.attention_weights.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.cross_attn.attention_weights.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.cross_attn.value_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.cross_attn.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.cross_attn.output_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.cross_attn.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.ffn.layers.0.0.weight - torch.Size([2048, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.ffn.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.ffn.layers.1.weight - torch.Size([256, 2048]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.norms.3.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.2.norms.3.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.self_attn.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.self_attn.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.self_attn.attn.out_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.self_attn.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.cross_attn_text.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.cross_attn_text.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.cross_attn_text.attn.out_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.cross_attn_text.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.cross_attn.sampling_offsets.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.cross_attn.attention_weights.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.cross_attn.attention_weights.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.cross_attn.value_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.cross_attn.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.cross_attn.output_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.cross_attn.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.ffn.layers.0.0.weight - torch.Size([2048, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.ffn.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.ffn.layers.1.weight - torch.Size([256, 2048]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.norms.3.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.3.norms.3.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.self_attn.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.self_attn.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.self_attn.attn.out_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.self_attn.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.cross_attn_text.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.cross_attn_text.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.cross_attn_text.attn.out_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.cross_attn_text.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.cross_attn.sampling_offsets.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.cross_attn.attention_weights.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.cross_attn.attention_weights.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.cross_attn.value_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.cross_attn.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.cross_attn.output_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.cross_attn.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.ffn.layers.0.0.weight - torch.Size([2048, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.ffn.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.ffn.layers.1.weight - torch.Size([256, 2048]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.norms.3.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.4.norms.3.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.self_attn.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.self_attn.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.self_attn.attn.out_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.self_attn.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.cross_attn_text.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.cross_attn_text.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.cross_attn_text.attn.out_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.cross_attn_text.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.cross_attn.sampling_offsets.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.cross_attn.attention_weights.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.cross_attn.attention_weights.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.cross_attn.value_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.cross_attn.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.cross_attn.output_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.cross_attn.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.ffn.layers.0.0.weight - torch.Size([2048, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.ffn.layers.0.0.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.ffn.layers.1.weight - torch.Size([256, 2048]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.norms.3.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.layers.5.norms.3.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.ref_point_head.layers.0.weight - torch.Size([256, 512]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.ref_point_head.layers.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.ref_point_head.layers.1.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.ref_point_head.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.norm.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO decoder.norm.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO query_embedding.weight - torch.Size([900, 256]): The value is the same before and after calling `init_weights` of GroundingDINO memory_trans_fc.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO memory_trans_fc.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO memory_trans_norm.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO memory_trans_norm.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.embeddings.word_embeddings.weight - torch.Size([30522, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.embeddings.position_embeddings.weight - torch.Size([512, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.embeddings.token_type_embeddings.weight - torch.Size([2, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.embeddings.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.embeddings.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.0.attention.self.query.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.0.attention.self.query.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.0.attention.self.key.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.0.attention.self.key.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.0.attention.self.value.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.0.attention.self.value.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.0.attention.output.dense.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.0.attention.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.0.attention.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.0.attention.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.0.intermediate.dense.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.0.intermediate.dense.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.0.output.dense.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.0.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.0.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.0.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.1.attention.self.query.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.1.attention.self.query.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.1.attention.self.key.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.1.attention.self.key.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.1.attention.self.value.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.1.attention.self.value.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.1.attention.output.dense.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.1.attention.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.1.attention.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.1.attention.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.1.intermediate.dense.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.1.intermediate.dense.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.1.output.dense.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.1.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.1.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.1.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.2.attention.self.query.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.2.attention.self.query.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.2.attention.self.key.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.2.attention.self.key.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.2.attention.self.value.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.2.attention.self.value.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.2.attention.output.dense.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.2.attention.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.2.attention.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.2.attention.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.2.intermediate.dense.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.2.intermediate.dense.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.2.output.dense.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.2.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.2.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.2.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.3.attention.self.query.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.3.attention.self.query.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.3.attention.self.key.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.3.attention.self.key.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.3.attention.self.value.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.3.attention.self.value.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.3.attention.output.dense.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.3.attention.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.3.attention.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.3.attention.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.3.intermediate.dense.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.3.intermediate.dense.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.3.output.dense.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.3.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.3.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.3.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.4.attention.self.query.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.4.attention.self.query.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.4.attention.self.key.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.4.attention.self.key.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.4.attention.self.value.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.4.attention.self.value.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.4.attention.output.dense.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.4.attention.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.4.attention.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.4.attention.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.4.intermediate.dense.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.4.intermediate.dense.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.4.output.dense.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.4.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.4.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.4.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.5.attention.self.query.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.5.attention.self.query.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.5.attention.self.key.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.5.attention.self.key.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.5.attention.self.value.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.5.attention.self.value.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.5.attention.output.dense.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.5.attention.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.5.attention.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.5.attention.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.5.intermediate.dense.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.5.intermediate.dense.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.5.output.dense.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.5.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.5.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.5.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.6.attention.self.query.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.6.attention.self.query.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.6.attention.self.key.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.6.attention.self.key.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.6.attention.self.value.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.6.attention.self.value.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.6.attention.output.dense.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.6.attention.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.6.attention.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.6.attention.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.6.intermediate.dense.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.6.intermediate.dense.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.6.output.dense.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.6.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.6.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.6.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.7.attention.self.query.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.7.attention.self.query.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.7.attention.self.key.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.7.attention.self.key.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.7.attention.self.value.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.7.attention.self.value.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.7.attention.output.dense.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.7.attention.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.7.attention.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.7.attention.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.7.intermediate.dense.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.7.intermediate.dense.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.7.output.dense.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.7.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.7.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.7.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.8.attention.self.query.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.8.attention.self.query.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.8.attention.self.key.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.8.attention.self.key.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.8.attention.self.value.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.8.attention.self.value.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.8.attention.output.dense.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.8.attention.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.8.attention.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.8.attention.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.8.intermediate.dense.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.8.intermediate.dense.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.8.output.dense.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.8.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.8.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.8.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.9.attention.self.query.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.9.attention.self.query.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.9.attention.self.key.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.9.attention.self.key.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.9.attention.self.value.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.9.attention.self.value.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.9.attention.output.dense.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.9.attention.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.9.attention.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.9.attention.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.9.intermediate.dense.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.9.intermediate.dense.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.9.output.dense.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.9.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.9.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.9.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.10.attention.self.query.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.10.attention.self.query.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.10.attention.self.key.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.10.attention.self.key.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.10.attention.self.value.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.10.attention.self.value.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.10.attention.output.dense.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.10.attention.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.10.attention.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.10.attention.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.10.intermediate.dense.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.10.intermediate.dense.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.10.output.dense.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.10.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.10.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.10.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.11.attention.self.query.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.11.attention.self.query.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.11.attention.self.key.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.11.attention.self.key.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.11.attention.self.value.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.11.attention.self.value.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.11.attention.output.dense.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.11.attention.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.11.attention.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.11.attention.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.11.intermediate.dense.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.11.intermediate.dense.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.11.output.dense.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.11.output.dense.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.11.output.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO language_model.language_backbone.body.model.encoder.layer.11.output.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GroundingDINO text_feat_map.weight - torch.Size([256, 768]): The value is the same before and after calling `init_weights` of GroundingDINO text_feat_map.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO dn_query_generator.label_embedding.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.embed_tokens.weight - torch.Size([151647, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.down_proj.weight - torch.Size([256, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.down_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.up_proj.weight - torch.Size([896, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.up_proj.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.corss_attn_norm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.cross_attn.sampling_offsets.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.cross_attn.attention_weights.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.cross_attn.attention_weights.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.cross_attn.value_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.cross_attn.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.cross_attn.output_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.0.cross_attn.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.1.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.2.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.3.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.down_proj.weight - torch.Size([256, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.down_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.up_proj.weight - torch.Size([896, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.up_proj.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.corss_attn_norm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.cross_attn.sampling_offsets.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.cross_attn.attention_weights.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.cross_attn.attention_weights.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.cross_attn.value_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.cross_attn.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.cross_attn.output_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.4.cross_attn.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.5.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.6.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.7.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.down_proj.weight - torch.Size([256, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.down_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.up_proj.weight - torch.Size([896, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.up_proj.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.corss_attn_norm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.cross_attn.sampling_offsets.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.cross_attn.attention_weights.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.cross_attn.attention_weights.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.cross_attn.value_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.cross_attn.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.cross_attn.output_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.8.cross_attn.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.9.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.10.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.11.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.down_proj.weight - torch.Size([256, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.down_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.up_proj.weight - torch.Size([896, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.up_proj.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.corss_attn_norm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.cross_attn.sampling_offsets.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.cross_attn.attention_weights.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.cross_attn.attention_weights.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.cross_attn.value_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.cross_attn.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.cross_attn.output_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.12.cross_attn.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.13.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.14.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.15.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.down_proj.weight - torch.Size([256, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.down_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.up_proj.weight - torch.Size([896, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.up_proj.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.corss_attn_norm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.cross_attn.sampling_offsets.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.cross_attn.attention_weights.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.cross_attn.attention_weights.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.cross_attn.value_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.cross_attn.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.cross_attn.output_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.16.cross_attn.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.17.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.18.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.19.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.down_proj.weight - torch.Size([256, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.down_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.up_proj.weight - torch.Size([896, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.up_proj.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.corss_attn_norm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.cross_attn.sampling_offsets.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.cross_attn.attention_weights.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.cross_attn.attention_weights.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.cross_attn.value_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.cross_attn.value_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.cross_attn.output_proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.20.cross_attn.output_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.21.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.22.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.self_attn.q_proj.ori_model.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.self_attn.k_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.self_attn.v_proj.ori_model.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.input_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.layers.23.post_attention_layernorm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO lmm.model.norm.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO ref_point_head.layers.0.weight - torch.Size([256, 512]): The value is the same before and after calling `init_weights` of GroundingDINO ref_point_head.layers.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO ref_point_head.layers.1.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of GroundingDINO ref_point_head.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GroundingDINO connector.vision_projector.0.0.weight - torch.Size([896, 256]): The value is the same before and after calling `init_weights` of GroundingDINO connector.vision_projector.0.0.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO connector.vision_projector.0.2.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO connector.vision_projector.0.2.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO connector.pos_proj.weight - torch.Size([896, 512]): The value is the same before and after calling `init_weights` of GroundingDINO connector.pos_proj.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO region_connector.vision_projector.0.0.weight - torch.Size([896, 256]): The value is the same before and after calling `init_weights` of GroundingDINO region_connector.vision_projector.0.0.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO region_connector.vision_projector.0.2.weight - torch.Size([896, 896]): The value is the same before and after calling `init_weights` of GroundingDINO region_connector.vision_projector.0.2.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO region_connector.pos_proj.weight - torch.Size([896, 512]): The value is the same before and after calling `init_weights` of GroundingDINO region_connector.pos_proj.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of GroundingDINO 2024/11/02 12:04:41 - mmengine - INFO - Load checkpoint from ../huggingface/mm_grounding_dino/grounding_dino_swin-t_pretrain_obj365_goldg_grit9m_v3det_20231204_095047-b448804b.pth 2024/11/02 12:04:41 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io 2024/11/02 12:04:41 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. 2024/11/02 12:04:41 - mmengine - INFO - Checkpoints will be saved to /mnt/data/qize.yqz/code/VideoVLM/LMMDet/myllava/work_dirs/grounding_dino_swin_t. 2024/11/02 12:06:20 - mmengine - INFO - Iter(train) [ 100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 1 day, 17:08:44 time: 0.9717 data_time: 0.0171 memory: 21673 grad_norm: 38.1281 loss: 13.5303 loss_cls: 0.4702 loss_bbox: 0.1496 loss_iou: 0.2581 d0.loss_cls: 0.4987 d0.loss_bbox: 0.1603 d0.loss_iou: 0.2780 d1.loss_cls: 0.4818 d1.loss_bbox: 0.1551 d1.loss_iou: 0.2640 d2.loss_cls: 0.4793 d2.loss_bbox: 0.1475 d2.loss_iou: 0.2552 d3.loss_cls: 0.4768 d3.loss_bbox: 0.1456 d3.loss_iou: 0.2541 d4.loss_cls: 0.4720 d4.loss_bbox: 0.1474 d4.loss_iou: 0.2551 enc_loss_cls: 0.4943 enc_loss_bbox: 0.1714 enc_loss_iou: 0.2977 dn_loss_cls: 0.3060 dn_loss_bbox: 0.2292 dn_loss_iou: 0.2484 d0.dn_loss_cls: 0.3451 d0.dn_loss_bbox: 0.4217 d0.dn_loss_iou: 0.4239 d1.dn_loss_cls: 0.3209 d1.dn_loss_bbox: 0.2710 d1.dn_loss_iou: 0.2905 d2.dn_loss_cls: 0.3056 d2.dn_loss_bbox: 0.2393 d2.dn_loss_iou: 0.2604 d3.dn_loss_cls: 0.3056 d3.dn_loss_bbox: 0.2313 d3.dn_loss_iou: 0.2509 d4.dn_loss_cls: 0.2975 d4.dn_loss_bbox: 0.2293 d4.dn_loss_iou: 0.2483 d1.loss_lmm_region: 0.6360 loss_lmm_image: 1.3575 2024/11/02 12:07:57 - mmengine - INFO - Iter(train) [ 200/150000] base_lr: 2.0000e-05 lr: 2.0000e-05 eta: 1 day, 16:44:08 time: 0.9626 data_time: 0.0171 memory: 19791 grad_norm: 28.2974 loss: 12.3846 loss_cls: 0.4131 loss_bbox: 0.1642 loss_iou: 0.2612 d0.loss_cls: 0.4433 d0.loss_bbox: 0.1618 d0.loss_iou: 0.2682 d1.loss_cls: 0.4233 d1.loss_bbox: 0.1644 d1.loss_iou: 0.2651 d2.loss_cls: 0.4100 d2.loss_bbox: 0.1614 d2.loss_iou: 0.2620 d3.loss_cls: 0.4114 d3.loss_bbox: 0.1615 d3.loss_iou: 0.2591 d4.loss_cls: 0.4133 d4.loss_bbox: 0.1628 d4.loss_iou: 0.2605 enc_loss_cls: 0.4456 enc_loss_bbox: 0.1756 enc_loss_iou: 0.2852 dn_loss_cls: 0.2138 dn_loss_bbox: 0.2211 dn_loss_iou: 0.2460 d0.dn_loss_cls: 0.2837 d0.dn_loss_bbox: 0.3740 d0.dn_loss_iou: 0.4042 d1.dn_loss_cls: 0.2370 d1.dn_loss_bbox: 0.2538 d1.dn_loss_iou: 0.2841 d2.dn_loss_cls: 0.2215 d2.dn_loss_bbox: 0.2284 d2.dn_loss_iou: 0.2567 d3.dn_loss_cls: 0.2190 d3.dn_loss_bbox: 0.2220 d3.dn_loss_iou: 0.2479 d4.dn_loss_cls: 0.2149 d4.dn_loss_bbox: 0.2211 d4.dn_loss_iou: 0.2459 d1.loss_lmm_region: 0.5944 loss_lmm_image: 1.2219 2024/11/02 12:09:37 - mmengine - INFO - Iter(train) [ 300/150000] base_lr: 3.0000e-05 lr: 3.0000e-05 eta: 1 day, 16:56:48 time: 0.9742 data_time: 0.0171 memory: 20716 grad_norm: 24.2821 loss: 13.1687 loss_cls: 0.4916 loss_bbox: 0.1529 loss_iou: 0.3040 d0.loss_cls: 0.5175 d0.loss_bbox: 0.1771 d0.loss_iou: 0.3289 d1.loss_cls: 0.4973 d1.loss_bbox: 0.1683 d1.loss_iou: 0.3163 d2.loss_cls: 0.4919 d2.loss_bbox: 0.1586 d2.loss_iou: 0.3078 d3.loss_cls: 0.4880 d3.loss_bbox: 0.1551 d3.loss_iou: 0.3037 d4.loss_cls: 0.4852 d4.loss_bbox: 0.1544 d4.loss_iou: 0.3047 enc_loss_cls: 0.5220 enc_loss_bbox: 0.1934 enc_loss_iou: 0.3418 dn_loss_cls: 0.2000 dn_loss_bbox: 0.2104 dn_loss_iou: 0.2512 d0.dn_loss_cls: 0.2673 d0.dn_loss_bbox: 0.3872 d0.dn_loss_iou: 0.4140 d1.dn_loss_cls: 0.2204 d1.dn_loss_bbox: 0.2574 d1.dn_loss_iou: 0.2929 d2.dn_loss_cls: 0.2081 d2.dn_loss_bbox: 0.2219 d2.dn_loss_iou: 0.2628 d3.dn_loss_cls: 0.2023 d3.dn_loss_bbox: 0.2116 d3.dn_loss_iou: 0.2527 d4.dn_loss_cls: 0.1987 d4.dn_loss_bbox: 0.2104 d4.dn_loss_iou: 0.2512 d1.loss_lmm_region: 0.6009 loss_lmm_image: 1.1866 2024/11/02 12:11:14 - mmengine - INFO - Iter(train) [ 400/150000] base_lr: 4.0000e-05 lr: 4.0000e-05 eta: 1 day, 16:50:25 time: 0.9824 data_time: 0.0173 memory: 20898 grad_norm: 26.4671 loss: 12.0658 loss_cls: 0.3670 loss_bbox: 0.1488 loss_iou: 0.2854 d0.loss_cls: 0.4038 d0.loss_bbox: 0.1589 d0.loss_iou: 0.2978 d1.loss_cls: 0.3830 d1.loss_bbox: 0.1504 d1.loss_iou: 0.2885 d2.loss_cls: 0.3750 d2.loss_bbox: 0.1498 d2.loss_iou: 0.2858 d3.loss_cls: 0.3712 d3.loss_bbox: 0.1483 d3.loss_iou: 0.2832 d4.loss_cls: 0.3694 d4.loss_bbox: 0.1478 d4.loss_iou: 0.2840 enc_loss_cls: 0.4167 enc_loss_bbox: 0.1640 enc_loss_iou: 0.3099 dn_loss_cls: 0.1952 dn_loss_bbox: 0.2095 dn_loss_iou: 0.2542 d0.dn_loss_cls: 0.2828 d0.dn_loss_bbox: 0.3909 d0.dn_loss_iou: 0.4259 d1.dn_loss_cls: 0.2263 d1.dn_loss_bbox: 0.2498 d1.dn_loss_iou: 0.2954 d2.dn_loss_cls: 0.2126 d2.dn_loss_bbox: 0.2192 d2.dn_loss_iou: 0.2641 d3.dn_loss_cls: 0.2019 d3.dn_loss_bbox: 0.2108 d3.dn_loss_iou: 0.2561 d4.dn_loss_cls: 0.1963 d4.dn_loss_bbox: 0.2094 d4.dn_loss_iou: 0.2541 d1.loss_lmm_region: 0.5781 loss_lmm_image: 1.1446 2024/11/02 12:12:52 - mmengine - INFO - Iter(train) [ 500/150000] base_lr: 5.0000e-05 lr: 5.0000e-05 eta: 1 day, 16:45:13 time: 0.9583 data_time: 0.0173 memory: 21285 grad_norm: 41.0409 loss: 12.5042 loss_cls: 0.3838 loss_bbox: 0.1846 loss_iou: 0.2978 d0.loss_cls: 0.4150 d0.loss_bbox: 0.2057 d0.loss_iou: 0.3162 d1.loss_cls: 0.3973 d1.loss_bbox: 0.1907 d1.loss_iou: 0.3036 d2.loss_cls: 0.3930 d2.loss_bbox: 0.1880 d2.loss_iou: 0.2992 d3.loss_cls: 0.3891 d3.loss_bbox: 0.1869 d3.loss_iou: 0.2978 d4.loss_cls: 0.3882 d4.loss_bbox: 0.1843 d4.loss_iou: 0.2979 enc_loss_cls: 0.4339 enc_loss_bbox: 0.2145 enc_loss_iou: 0.3284 dn_loss_cls: 0.1613 dn_loss_bbox: 0.2263 dn_loss_iou: 0.2649 d0.dn_loss_cls: 0.2514 d0.dn_loss_bbox: 0.3932 d0.dn_loss_iou: 0.4282 d1.dn_loss_cls: 0.1916 d1.dn_loss_bbox: 0.2649 d1.dn_loss_iou: 0.3040 d2.dn_loss_cls: 0.1756 d2.dn_loss_bbox: 0.2388 d2.dn_loss_iou: 0.2761 d3.dn_loss_cls: 0.1650 d3.dn_loss_bbox: 0.2281 d3.dn_loss_iou: 0.2666 d4.dn_loss_cls: 0.1616 d4.dn_loss_bbox: 0.2262 d4.dn_loss_iou: 0.2648 d1.loss_lmm_region: 0.5618 loss_lmm_image: 1.1581 2024/11/02 12:14:30 - mmengine - INFO - Iter(train) [ 600/150000] base_lr: 6.0000e-05 lr: 6.0000e-05 eta: 1 day, 16:44:13 time: 0.9939 data_time: 0.0175 memory: 20585 grad_norm: 24.5662 loss: 12.8087 loss_cls: 0.4168 loss_bbox: 0.1755 loss_iou: 0.2842 d0.loss_cls: 0.4494 d0.loss_bbox: 0.1962 d0.loss_iou: 0.3048 d1.loss_cls: 0.4383 d1.loss_bbox: 0.1793 d1.loss_iou: 0.2928 d2.loss_cls: 0.4179 d2.loss_bbox: 0.1794 d2.loss_iou: 0.2891 d3.loss_cls: 0.4127 d3.loss_bbox: 0.1787 d3.loss_iou: 0.2860 d4.loss_cls: 0.4160 d4.loss_bbox: 0.1754 d4.loss_iou: 0.2847 enc_loss_cls: 0.4669 enc_loss_bbox: 0.2107 enc_loss_iou: 0.3196 dn_loss_cls: 0.1884 dn_loss_bbox: 0.2376 dn_loss_iou: 0.2618 d0.dn_loss_cls: 0.2716 d0.dn_loss_bbox: 0.4272 d0.dn_loss_iou: 0.4245 d1.dn_loss_cls: 0.2239 d1.dn_loss_bbox: 0.2781 d1.dn_loss_iou: 0.2983 d2.dn_loss_cls: 0.2076 d2.dn_loss_bbox: 0.2488 d2.dn_loss_iou: 0.2721 d3.dn_loss_cls: 0.1944 d3.dn_loss_bbox: 0.2384 d3.dn_loss_iou: 0.2634 d4.dn_loss_cls: 0.1907 d4.dn_loss_bbox: 0.2373 d4.dn_loss_iou: 0.2615 d1.loss_lmm_region: 0.5887 loss_lmm_image: 1.1196 2024/11/02 12:16:08 - mmengine - INFO - Iter(train) [ 700/150000] base_lr: 7.0000e-05 lr: 7.0000e-05 eta: 1 day, 16:41:09 time: 0.9719 data_time: 0.0172 memory: 20470 grad_norm: 25.7985 loss: 11.4201 loss_cls: 0.3304 loss_bbox: 0.1593 loss_iou: 0.2505 d0.loss_cls: 0.3531 d0.loss_bbox: 0.1743 d0.loss_iou: 0.2635 d1.loss_cls: 0.3379 d1.loss_bbox: 0.1632 d1.loss_iou: 0.2557 d2.loss_cls: 0.3355 d2.loss_bbox: 0.1587 d2.loss_iou: 0.2515 d3.loss_cls: 0.3339 d3.loss_bbox: 0.1589 d3.loss_iou: 0.2492 d4.loss_cls: 0.3299 d4.loss_bbox: 0.1597 d4.loss_iou: 0.2507 enc_loss_cls: 0.3692 enc_loss_bbox: 0.1878 enc_loss_iou: 0.2803 dn_loss_cls: 0.1575 dn_loss_bbox: 0.2272 dn_loss_iou: 0.2538 d0.dn_loss_cls: 0.2389 d0.dn_loss_bbox: 0.4037 d0.dn_loss_iou: 0.4190 d1.dn_loss_cls: 0.1805 d1.dn_loss_bbox: 0.2631 d1.dn_loss_iou: 0.2920 d2.dn_loss_cls: 0.1665 d2.dn_loss_bbox: 0.2351 d2.dn_loss_iou: 0.2636 d3.dn_loss_cls: 0.1603 d3.dn_loss_bbox: 0.2276 d3.dn_loss_iou: 0.2556 d4.dn_loss_cls: 0.1584 d4.dn_loss_bbox: 0.2274 d4.dn_loss_iou: 0.2540 d1.loss_lmm_region: 0.5399 loss_lmm_image: 1.1429 2024/11/02 12:17:47 - mmengine - INFO - Iter(train) [ 800/150000] base_lr: 8.0000e-05 lr: 8.0000e-05 eta: 1 day, 16:42:17 time: 0.9942 data_time: 0.0174 memory: 20621 grad_norm: 24.5745 loss: 11.0607 loss_cls: 0.3662 loss_bbox: 0.1267 loss_iou: 0.2297 d0.loss_cls: 0.3972 d0.loss_bbox: 0.1420 d0.loss_iou: 0.2453 d1.loss_cls: 0.3803 d1.loss_bbox: 0.1316 d1.loss_iou: 0.2358 d2.loss_cls: 0.3751 d2.loss_bbox: 0.1263 d2.loss_iou: 0.2295 d3.loss_cls: 0.3697 d3.loss_bbox: 0.1260 d3.loss_iou: 0.2292 d4.loss_cls: 0.3674 d4.loss_bbox: 0.1257 d4.loss_iou: 0.2294 enc_loss_cls: 0.4159 enc_loss_bbox: 0.1515 enc_loss_iou: 0.2628 dn_loss_cls: 0.1753 dn_loss_bbox: 0.1908 dn_loss_iou: 0.2257 d0.dn_loss_cls: 0.2600 d0.dn_loss_bbox: 0.3544 d0.dn_loss_iou: 0.3847 d1.dn_loss_cls: 0.2072 d1.dn_loss_bbox: 0.2312 d1.dn_loss_iou: 0.2660 d2.dn_loss_cls: 0.1900 d2.dn_loss_bbox: 0.2012 d2.dn_loss_iou: 0.2369 d3.dn_loss_cls: 0.1822 d3.dn_loss_bbox: 0.1917 d3.dn_loss_iou: 0.2270 d4.dn_loss_cls: 0.1788 d4.dn_loss_bbox: 0.1908 d4.dn_loss_iou: 0.2256 d1.loss_lmm_region: 0.5506 loss_lmm_image: 1.1276 2024/11/02 12:19:23 - mmengine - INFO - Iter(train) [ 900/150000] base_lr: 9.0000e-05 lr: 9.0000e-05 eta: 1 day, 16:35:46 time: 0.9633 data_time: 0.0172 memory: 20137 grad_norm: 23.4519 loss: 10.2261 loss_cls: 0.2869 loss_bbox: 0.1300 loss_iou: 0.2415 d0.loss_cls: 0.3225 d0.loss_bbox: 0.1325 d0.loss_iou: 0.2491 d1.loss_cls: 0.3039 d1.loss_bbox: 0.1296 d1.loss_iou: 0.2449 d2.loss_cls: 0.2945 d2.loss_bbox: 0.1287 d2.loss_iou: 0.2436 d3.loss_cls: 0.2937 d3.loss_bbox: 0.1260 d3.loss_iou: 0.2410 d4.loss_cls: 0.2867 d4.loss_bbox: 0.1306 d4.loss_iou: 0.2417 enc_loss_cls: 0.3366 enc_loss_bbox: 0.1453 enc_loss_iou: 0.2696 dn_loss_cls: 0.1511 dn_loss_bbox: 0.1616 dn_loss_iou: 0.2150 d0.dn_loss_cls: 0.2418 d0.dn_loss_bbox: 0.3391 d0.dn_loss_iou: 0.3699 d1.dn_loss_cls: 0.1795 d1.dn_loss_bbox: 0.2039 d1.dn_loss_iou: 0.2524 d2.dn_loss_cls: 0.1642 d2.dn_loss_bbox: 0.1739 d2.dn_loss_iou: 0.2247 d3.dn_loss_cls: 0.1577 d3.dn_loss_bbox: 0.1636 d3.dn_loss_iou: 0.2167 d4.dn_loss_cls: 0.1533 d4.dn_loss_bbox: 0.1617 d4.dn_loss_iou: 0.2149 d1.loss_lmm_region: 0.5497 loss_lmm_image: 1.1527 2024/11/02 12:21:03 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 12:21:03 - mmengine - INFO - Iter(train) [ 1000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:37:35 time: 0.9741 data_time: 0.0177 memory: 20615 grad_norm: 27.4342 loss: 11.4487 loss_cls: 0.3625 loss_bbox: 0.1601 loss_iou: 0.2564 d0.loss_cls: 0.3912 d0.loss_bbox: 0.1709 d0.loss_iou: 0.2687 d1.loss_cls: 0.3786 d1.loss_bbox: 0.1625 d1.loss_iou: 0.2576 d2.loss_cls: 0.3694 d2.loss_bbox: 0.1612 d2.loss_iou: 0.2558 d3.loss_cls: 0.3699 d3.loss_bbox: 0.1593 d3.loss_iou: 0.2545 d4.loss_cls: 0.3643 d4.loss_bbox: 0.1598 d4.loss_iou: 0.2558 enc_loss_cls: 0.4054 enc_loss_bbox: 0.1826 enc_loss_iou: 0.2867 dn_loss_cls: 0.1543 dn_loss_bbox: 0.2143 dn_loss_iou: 0.2420 d0.dn_loss_cls: 0.2320 d0.dn_loss_bbox: 0.3857 d0.dn_loss_iou: 0.4030 d1.dn_loss_cls: 0.1821 d1.dn_loss_bbox: 0.2500 d1.dn_loss_iou: 0.2789 d2.dn_loss_cls: 0.1671 d2.dn_loss_bbox: 0.2218 d2.dn_loss_iou: 0.2514 d3.dn_loss_cls: 0.1603 d3.dn_loss_bbox: 0.2157 d3.dn_loss_iou: 0.2437 d4.dn_loss_cls: 0.1550 d4.dn_loss_bbox: 0.2142 d4.dn_loss_iou: 0.2419 d1.loss_lmm_region: 0.5008 loss_lmm_image: 1.1012 2024/11/02 12:22:40 - mmengine - INFO - Iter(train) [ 1100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:34:22 time: 0.9771 data_time: 0.0162 memory: 20899 grad_norm: 25.9967 loss: 11.4798 loss_cls: 0.3568 loss_bbox: 0.1563 loss_iou: 0.2901 d0.loss_cls: 0.3871 d0.loss_bbox: 0.1761 d0.loss_iou: 0.3101 d1.loss_cls: 0.3740 d1.loss_bbox: 0.1627 d1.loss_iou: 0.2995 d2.loss_cls: 0.3667 d2.loss_bbox: 0.1553 d2.loss_iou: 0.2907 d3.loss_cls: 0.3608 d3.loss_bbox: 0.1567 d3.loss_iou: 0.2901 d4.loss_cls: 0.3593 d4.loss_bbox: 0.1563 d4.loss_iou: 0.2887 enc_loss_cls: 0.4009 enc_loss_bbox: 0.1861 enc_loss_iou: 0.3317 dn_loss_cls: 0.1218 dn_loss_bbox: 0.1953 dn_loss_iou: 0.2585 d0.dn_loss_cls: 0.2169 d0.dn_loss_bbox: 0.3555 d0.dn_loss_iou: 0.4183 d1.dn_loss_cls: 0.1580 d1.dn_loss_bbox: 0.2295 d1.dn_loss_iou: 0.2944 d2.dn_loss_cls: 0.1367 d2.dn_loss_bbox: 0.2018 d2.dn_loss_iou: 0.2678 d3.dn_loss_cls: 0.1259 d3.dn_loss_bbox: 0.1960 d3.dn_loss_iou: 0.2600 d4.dn_loss_cls: 0.1233 d4.dn_loss_bbox: 0.1953 d4.dn_loss_iou: 0.2584 d1.loss_lmm_region: 0.5051 loss_lmm_image: 1.1055 2024/11/02 12:24:18 - mmengine - INFO - Iter(train) [ 1200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:31:57 time: 0.9683 data_time: 0.0163 memory: 20340 grad_norm: 24.1244 loss: 10.9122 loss_cls: 0.3479 loss_bbox: 0.1451 loss_iou: 0.2702 d0.loss_cls: 0.3875 d0.loss_bbox: 0.1634 d0.loss_iou: 0.2919 d1.loss_cls: 0.3698 d1.loss_bbox: 0.1529 d1.loss_iou: 0.2778 d2.loss_cls: 0.3634 d2.loss_bbox: 0.1475 d2.loss_iou: 0.2705 d3.loss_cls: 0.3529 d3.loss_bbox: 0.1463 d3.loss_iou: 0.2688 d4.loss_cls: 0.3489 d4.loss_bbox: 0.1445 d4.loss_iou: 0.2700 enc_loss_cls: 0.4014 enc_loss_bbox: 0.1774 enc_loss_iou: 0.3131 dn_loss_cls: 0.1272 dn_loss_bbox: 0.1814 dn_loss_iou: 0.2248 d0.dn_loss_cls: 0.2102 d0.dn_loss_bbox: 0.3353 d0.dn_loss_iou: 0.3782 d1.dn_loss_cls: 0.1603 d1.dn_loss_bbox: 0.2124 d1.dn_loss_iou: 0.2581 d2.dn_loss_cls: 0.1437 d2.dn_loss_bbox: 0.1878 d2.dn_loss_iou: 0.2334 d3.dn_loss_cls: 0.1346 d3.dn_loss_bbox: 0.1824 d3.dn_loss_iou: 0.2262 d4.dn_loss_cls: 0.1296 d4.dn_loss_bbox: 0.1814 d4.dn_loss_iou: 0.2248 d1.loss_lmm_region: 0.4458 loss_lmm_image: 1.1233 2024/11/02 12:25:55 - mmengine - INFO - Iter(train) [ 1300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:29:00 time: 0.9953 data_time: 0.0163 memory: 20955 grad_norm: 26.8254 loss: 10.4680 loss_cls: 0.3301 loss_bbox: 0.1256 loss_iou: 0.2260 d0.loss_cls: 0.3723 d0.loss_bbox: 0.1385 d0.loss_iou: 0.2436 d1.loss_cls: 0.3587 d1.loss_bbox: 0.1278 d1.loss_iou: 0.2323 d2.loss_cls: 0.3447 d2.loss_bbox: 0.1287 d2.loss_iou: 0.2265 d3.loss_cls: 0.3382 d3.loss_bbox: 0.1275 d3.loss_iou: 0.2268 d4.loss_cls: 0.3340 d4.loss_bbox: 0.1245 d4.loss_iou: 0.2248 enc_loss_cls: 0.3964 enc_loss_bbox: 0.1552 enc_loss_iou: 0.2642 dn_loss_cls: 0.1210 dn_loss_bbox: 0.1891 dn_loss_iou: 0.2235 d0.dn_loss_cls: 0.2215 d0.dn_loss_bbox: 0.3621 d0.dn_loss_iou: 0.3848 d1.dn_loss_cls: 0.1663 d1.dn_loss_bbox: 0.2279 d1.dn_loss_iou: 0.2615 d2.dn_loss_cls: 0.1457 d2.dn_loss_bbox: 0.1981 d2.dn_loss_iou: 0.2332 d3.dn_loss_cls: 0.1310 d3.dn_loss_bbox: 0.1906 d3.dn_loss_iou: 0.2255 d4.dn_loss_cls: 0.1268 d4.dn_loss_bbox: 0.1892 d4.dn_loss_iou: 0.2237 d1.loss_lmm_region: 0.4345 loss_lmm_image: 1.1653 2024/11/02 12:27:32 - mmengine - INFO - Iter(train) [ 1400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:24:47 time: 0.9712 data_time: 0.0161 memory: 20882 grad_norm: 25.3429 loss: 10.2973 loss_cls: 0.3654 loss_bbox: 0.1243 loss_iou: 0.2230 d0.loss_cls: 0.3900 d0.loss_bbox: 0.1430 d0.loss_iou: 0.2465 d1.loss_cls: 0.3813 d1.loss_bbox: 0.1270 d1.loss_iou: 0.2304 d2.loss_cls: 0.3785 d2.loss_bbox: 0.1214 d2.loss_iou: 0.2230 d3.loss_cls: 0.3693 d3.loss_bbox: 0.1227 d3.loss_iou: 0.2241 d4.loss_cls: 0.3682 d4.loss_bbox: 0.1243 d4.loss_iou: 0.2236 enc_loss_cls: 0.3996 enc_loss_bbox: 0.1576 enc_loss_iou: 0.2726 dn_loss_cls: 0.1537 dn_loss_bbox: 0.1535 dn_loss_iou: 0.2025 d0.dn_loss_cls: 0.2341 d0.dn_loss_bbox: 0.3078 d0.dn_loss_iou: 0.3518 d1.dn_loss_cls: 0.1851 d1.dn_loss_bbox: 0.1952 d1.dn_loss_iou: 0.2392 d2.dn_loss_cls: 0.1730 d2.dn_loss_bbox: 0.1657 d2.dn_loss_iou: 0.2116 d3.dn_loss_cls: 0.1623 d3.dn_loss_bbox: 0.1552 d3.dn_loss_iou: 0.2044 d4.dn_loss_cls: 0.1577 d4.dn_loss_bbox: 0.1535 d4.dn_loss_iou: 0.2026 d1.loss_lmm_region: 0.3924 loss_lmm_image: 1.0803 2024/11/02 12:29:11 - mmengine - INFO - Iter(train) [ 1500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:24:25 time: 0.9932 data_time: 0.0162 memory: 21192 grad_norm: 22.3995 loss: 11.2524 loss_cls: 0.3601 loss_bbox: 0.1581 loss_iou: 0.2849 d0.loss_cls: 0.4037 d0.loss_bbox: 0.1691 d0.loss_iou: 0.3045 d1.loss_cls: 0.3761 d1.loss_bbox: 0.1602 d1.loss_iou: 0.2945 d2.loss_cls: 0.3706 d2.loss_bbox: 0.1549 d2.loss_iou: 0.2869 d3.loss_cls: 0.3654 d3.loss_bbox: 0.1531 d3.loss_iou: 0.2850 d4.loss_cls: 0.3617 d4.loss_bbox: 0.1566 d4.loss_iou: 0.2843 enc_loss_cls: 0.4147 enc_loss_bbox: 0.1848 enc_loss_iou: 0.3280 dn_loss_cls: 0.1297 dn_loss_bbox: 0.1920 dn_loss_iou: 0.2518 d0.dn_loss_cls: 0.2121 d0.dn_loss_bbox: 0.3474 d0.dn_loss_iou: 0.4083 d1.dn_loss_cls: 0.1574 d1.dn_loss_bbox: 0.2231 d1.dn_loss_iou: 0.2854 d2.dn_loss_cls: 0.1418 d2.dn_loss_bbox: 0.1989 d2.dn_loss_iou: 0.2601 d3.dn_loss_cls: 0.1334 d3.dn_loss_bbox: 0.1935 d3.dn_loss_iou: 0.2535 d4.dn_loss_cls: 0.1314 d4.dn_loss_bbox: 0.1920 d4.dn_loss_iou: 0.2519 d1.loss_lmm_region: 0.3684 loss_lmm_image: 1.0630 2024/11/02 12:30:47 - mmengine - INFO - Iter(train) [ 1600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:21:05 time: 0.9710 data_time: 0.0163 memory: 23315 grad_norm: 24.6727 loss: 9.2757 loss_cls: 0.3055 loss_bbox: 0.1032 loss_iou: 0.2025 d0.loss_cls: 0.3193 d0.loss_bbox: 0.1160 d0.loss_iou: 0.2217 d1.loss_cls: 0.3137 d1.loss_bbox: 0.1088 d1.loss_iou: 0.2086 d2.loss_cls: 0.3105 d2.loss_bbox: 0.1046 d2.loss_iou: 0.2031 d3.loss_cls: 0.3089 d3.loss_bbox: 0.1023 d3.loss_iou: 0.2025 d4.loss_cls: 0.3073 d4.loss_bbox: 0.1009 d4.loss_iou: 0.2026 enc_loss_cls: 0.3328 enc_loss_bbox: 0.1261 enc_loss_iou: 0.2441 dn_loss_cls: 0.1095 dn_loss_bbox: 0.1515 dn_loss_iou: 0.2090 d0.dn_loss_cls: 0.1949 d0.dn_loss_bbox: 0.3074 d0.dn_loss_iou: 0.3654 d1.dn_loss_cls: 0.1417 d1.dn_loss_bbox: 0.1869 d1.dn_loss_iou: 0.2466 d2.dn_loss_cls: 0.1245 d2.dn_loss_bbox: 0.1597 d2.dn_loss_iou: 0.2181 d3.dn_loss_cls: 0.1152 d3.dn_loss_bbox: 0.1520 d3.dn_loss_iou: 0.2108 d4.dn_loss_cls: 0.1133 d4.dn_loss_bbox: 0.1516 d4.dn_loss_iou: 0.2090 d1.loss_lmm_region: 0.3710 loss_lmm_image: 1.0926 2024/11/02 12:32:24 - mmengine - INFO - Iter(train) [ 1700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:18:13 time: 0.9530 data_time: 0.0162 memory: 21084 grad_norm: 27.5241 loss: 10.3405 loss_cls: 0.3085 loss_bbox: 0.1367 loss_iou: 0.2463 d0.loss_cls: 0.3336 d0.loss_bbox: 0.1513 d0.loss_iou: 0.2656 d1.loss_cls: 0.3273 d1.loss_bbox: 0.1387 d1.loss_iou: 0.2508 d2.loss_cls: 0.3192 d2.loss_bbox: 0.1381 d2.loss_iou: 0.2461 d3.loss_cls: 0.3146 d3.loss_bbox: 0.1370 d3.loss_iou: 0.2465 d4.loss_cls: 0.3099 d4.loss_bbox: 0.1374 d4.loss_iou: 0.2466 enc_loss_cls: 0.3415 enc_loss_bbox: 0.1654 enc_loss_iou: 0.2911 dn_loss_cls: 0.1397 dn_loss_bbox: 0.1894 dn_loss_iou: 0.2255 d0.dn_loss_cls: 0.2143 d0.dn_loss_bbox: 0.3543 d0.dn_loss_iou: 0.3792 d1.dn_loss_cls: 0.1678 d1.dn_loss_bbox: 0.2281 d1.dn_loss_iou: 0.2609 d2.dn_loss_cls: 0.1521 d2.dn_loss_bbox: 0.1986 d2.dn_loss_iou: 0.2343 d3.dn_loss_cls: 0.1427 d3.dn_loss_bbox: 0.1910 d3.dn_loss_iou: 0.2271 d4.dn_loss_cls: 0.1396 d4.dn_loss_bbox: 0.1895 d4.dn_loss_iou: 0.2255 d1.loss_lmm_region: 0.3415 loss_lmm_image: 1.0872 2024/11/02 12:34:02 - mmengine - INFO - Iter(train) [ 1800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:15:46 time: 0.9724 data_time: 0.0162 memory: 20507 grad_norm: 23.6826 loss: 11.9178 loss_cls: 0.4192 loss_bbox: 0.1634 loss_iou: 0.2884 d0.loss_cls: 0.4555 d0.loss_bbox: 0.1802 d0.loss_iou: 0.3094 d1.loss_cls: 0.4354 d1.loss_bbox: 0.1663 d1.loss_iou: 0.2939 d2.loss_cls: 0.4268 d2.loss_bbox: 0.1635 d2.loss_iou: 0.2897 d3.loss_cls: 0.4233 d3.loss_bbox: 0.1626 d3.loss_iou: 0.2864 d4.loss_cls: 0.4192 d4.loss_bbox: 0.1620 d4.loss_iou: 0.2870 enc_loss_cls: 0.4656 enc_loss_bbox: 0.2004 enc_loss_iou: 0.3358 dn_loss_cls: 0.1617 dn_loss_bbox: 0.2005 dn_loss_iou: 0.2345 d0.dn_loss_cls: 0.2415 d0.dn_loss_bbox: 0.3669 d0.dn_loss_iou: 0.3953 d1.dn_loss_cls: 0.1872 d1.dn_loss_bbox: 0.2346 d1.dn_loss_iou: 0.2726 d2.dn_loss_cls: 0.1729 d2.dn_loss_bbox: 0.2093 d2.dn_loss_iou: 0.2447 d3.dn_loss_cls: 0.1655 d3.dn_loss_bbox: 0.2011 d3.dn_loss_iou: 0.2359 d4.dn_loss_cls: 0.1626 d4.dn_loss_bbox: 0.2003 d4.dn_loss_iou: 0.2344 d1.loss_lmm_region: 0.3681 loss_lmm_image: 1.0943 2024/11/02 12:35:39 - mmengine - INFO - Iter(train) [ 1900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:13:48 time: 0.9617 data_time: 0.0163 memory: 20330 grad_norm: 23.0387 loss: 10.8213 loss_cls: 0.3529 loss_bbox: 0.1398 loss_iou: 0.2576 d0.loss_cls: 0.3822 d0.loss_bbox: 0.1624 d0.loss_iou: 0.2838 d1.loss_cls: 0.3637 d1.loss_bbox: 0.1473 d1.loss_iou: 0.2691 d2.loss_cls: 0.3598 d2.loss_bbox: 0.1407 d2.loss_iou: 0.2628 d3.loss_cls: 0.3589 d3.loss_bbox: 0.1404 d3.loss_iou: 0.2608 d4.loss_cls: 0.3540 d4.loss_bbox: 0.1405 d4.loss_iou: 0.2576 enc_loss_cls: 0.3967 enc_loss_bbox: 0.1683 enc_loss_iou: 0.3053 dn_loss_cls: 0.1393 dn_loss_bbox: 0.1869 dn_loss_iou: 0.2373 d0.dn_loss_cls: 0.2148 d0.dn_loss_bbox: 0.3487 d0.dn_loss_iou: 0.3948 d1.dn_loss_cls: 0.1602 d1.dn_loss_bbox: 0.2233 d1.dn_loss_iou: 0.2744 d2.dn_loss_cls: 0.1459 d2.dn_loss_bbox: 0.1947 d2.dn_loss_iou: 0.2469 d3.dn_loss_cls: 0.1418 d3.dn_loss_bbox: 0.1888 d3.dn_loss_iou: 0.2393 d4.dn_loss_cls: 0.1367 d4.dn_loss_bbox: 0.1869 d4.dn_loss_iou: 0.2371 d1.loss_lmm_region: 0.3423 loss_lmm_image: 1.0766 2024/11/02 12:37:17 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 12:37:17 - mmengine - INFO - Iter(train) [ 2000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:11:51 time: 0.9894 data_time: 0.0163 memory: 20879 grad_norm: 23.8092 loss: 11.0070 loss_cls: 0.3470 loss_bbox: 0.1472 loss_iou: 0.2868 d0.loss_cls: 0.3861 d0.loss_bbox: 0.1574 d0.loss_iou: 0.3017 d1.loss_cls: 0.3680 d1.loss_bbox: 0.1527 d1.loss_iou: 0.2894 d2.loss_cls: 0.3619 d2.loss_bbox: 0.1493 d2.loss_iou: 0.2867 d3.loss_cls: 0.3610 d3.loss_bbox: 0.1450 d3.loss_iou: 0.2851 d4.loss_cls: 0.3540 d4.loss_bbox: 0.1451 d4.loss_iou: 0.2854 enc_loss_cls: 0.3946 enc_loss_bbox: 0.1760 enc_loss_iou: 0.3229 dn_loss_cls: 0.1370 dn_loss_bbox: 0.1600 dn_loss_iou: 0.2449 d0.dn_loss_cls: 0.2334 d0.dn_loss_bbox: 0.3277 d0.dn_loss_iou: 0.4145 d1.dn_loss_cls: 0.1763 d1.dn_loss_bbox: 0.1971 d1.dn_loss_iou: 0.2836 d2.dn_loss_cls: 0.1574 d2.dn_loss_bbox: 0.1702 d2.dn_loss_iou: 0.2547 d3.dn_loss_cls: 0.1463 d3.dn_loss_bbox: 0.1610 d3.dn_loss_iou: 0.2463 d4.dn_loss_cls: 0.1428 d4.dn_loss_bbox: 0.1600 d4.dn_loss_iou: 0.2451 d1.loss_lmm_region: 0.3437 loss_lmm_image: 1.1018 2024/11/02 12:38:53 - mmengine - INFO - Iter(train) [ 2100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:07:56 time: 0.9532 data_time: 0.0164 memory: 20785 grad_norm: 22.7843 loss: 11.1975 loss_cls: 0.3663 loss_bbox: 0.1542 loss_iou: 0.2922 d0.loss_cls: 0.4075 d0.loss_bbox: 0.1728 d0.loss_iou: 0.3128 d1.loss_cls: 0.3847 d1.loss_bbox: 0.1573 d1.loss_iou: 0.2973 d2.loss_cls: 0.3780 d2.loss_bbox: 0.1545 d2.loss_iou: 0.2938 d3.loss_cls: 0.3770 d3.loss_bbox: 0.1523 d3.loss_iou: 0.2900 d4.loss_cls: 0.3705 d4.loss_bbox: 0.1530 d4.loss_iou: 0.2915 enc_loss_cls: 0.4242 enc_loss_bbox: 0.1829 enc_loss_iou: 0.3363 dn_loss_cls: 0.1438 dn_loss_bbox: 0.1607 dn_loss_iou: 0.2347 d0.dn_loss_cls: 0.2330 d0.dn_loss_bbox: 0.3247 d0.dn_loss_iou: 0.4005 d1.dn_loss_cls: 0.1771 d1.dn_loss_bbox: 0.1985 d1.dn_loss_iou: 0.2733 d2.dn_loss_cls: 0.1581 d2.dn_loss_bbox: 0.1687 d2.dn_loss_iou: 0.2450 d3.dn_loss_cls: 0.1486 d3.dn_loss_bbox: 0.1614 d3.dn_loss_iou: 0.2361 d4.dn_loss_cls: 0.1464 d4.dn_loss_bbox: 0.1607 d4.dn_loss_iou: 0.2346 d1.loss_lmm_region: 0.3555 loss_lmm_image: 1.0871 2024/11/02 12:40:31 - mmengine - INFO - Iter(train) [ 2200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:07:22 time: 0.9974 data_time: 0.0163 memory: 20460 grad_norm: 26.4097 loss: 11.0842 loss_cls: 0.3719 loss_bbox: 0.1571 loss_iou: 0.3047 d0.loss_cls: 0.4143 d0.loss_bbox: 0.1628 d0.loss_iou: 0.3179 d1.loss_cls: 0.3906 d1.loss_bbox: 0.1582 d1.loss_iou: 0.3084 d2.loss_cls: 0.3820 d2.loss_bbox: 0.1586 d2.loss_iou: 0.3043 d3.loss_cls: 0.3769 d3.loss_bbox: 0.1579 d3.loss_iou: 0.3030 d4.loss_cls: 0.3735 d4.loss_bbox: 0.1573 d4.loss_iou: 0.3055 enc_loss_cls: 0.4307 enc_loss_bbox: 0.1808 enc_loss_iou: 0.3403 dn_loss_cls: 0.1294 dn_loss_bbox: 0.1578 dn_loss_iou: 0.2263 d0.dn_loss_cls: 0.2166 d0.dn_loss_bbox: 0.3095 d0.dn_loss_iou: 0.3849 d1.dn_loss_cls: 0.1647 d1.dn_loss_bbox: 0.1913 d1.dn_loss_iou: 0.2619 d2.dn_loss_cls: 0.1465 d2.dn_loss_bbox: 0.1685 d2.dn_loss_iou: 0.2365 d3.dn_loss_cls: 0.1367 d3.dn_loss_bbox: 0.1594 d3.dn_loss_iou: 0.2280 d4.dn_loss_cls: 0.1319 d4.dn_loss_bbox: 0.1579 d4.dn_loss_iou: 0.2261 d1.loss_lmm_region: 0.3233 loss_lmm_image: 1.0704 2024/11/02 12:42:07 - mmengine - INFO - Iter(train) [ 2300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:03:45 time: 0.9549 data_time: 0.0166 memory: 20811 grad_norm: 32.1756 loss: 10.4140 loss_cls: 0.3250 loss_bbox: 0.1417 loss_iou: 0.2484 d0.loss_cls: 0.3666 d0.loss_bbox: 0.1535 d0.loss_iou: 0.2588 d1.loss_cls: 0.3467 d1.loss_bbox: 0.1451 d1.loss_iou: 0.2503 d2.loss_cls: 0.3360 d2.loss_bbox: 0.1419 d2.loss_iou: 0.2476 d3.loss_cls: 0.3288 d3.loss_bbox: 0.1436 d3.loss_iou: 0.2482 d4.loss_cls: 0.3267 d4.loss_bbox: 0.1419 d4.loss_iou: 0.2477 enc_loss_cls: 0.3710 enc_loss_bbox: 0.1705 enc_loss_iou: 0.2841 dn_loss_cls: 0.1427 dn_loss_bbox: 0.1779 dn_loss_iou: 0.2231 d0.dn_loss_cls: 0.2366 d0.dn_loss_bbox: 0.3322 d0.dn_loss_iou: 0.3781 d1.dn_loss_cls: 0.1812 d1.dn_loss_bbox: 0.2145 d1.dn_loss_iou: 0.2588 d2.dn_loss_cls: 0.1644 d2.dn_loss_bbox: 0.1882 d2.dn_loss_iou: 0.2327 d3.dn_loss_cls: 0.1528 d3.dn_loss_bbox: 0.1786 d3.dn_loss_iou: 0.2240 d4.dn_loss_cls: 0.1462 d4.dn_loss_bbox: 0.1780 d4.dn_loss_iou: 0.2229 d1.loss_lmm_region: 0.3296 loss_lmm_image: 1.0273 2024/11/02 12:43:45 - mmengine - INFO - Iter(train) [ 2400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:02:10 time: 0.9676 data_time: 0.0163 memory: 20500 grad_norm: 21.4525 loss: 10.8535 loss_cls: 0.3546 loss_bbox: 0.1411 loss_iou: 0.2897 d0.loss_cls: 0.3992 d0.loss_bbox: 0.1526 d0.loss_iou: 0.3071 d1.loss_cls: 0.3752 d1.loss_bbox: 0.1429 d1.loss_iou: 0.2928 d2.loss_cls: 0.3658 d2.loss_bbox: 0.1408 d2.loss_iou: 0.2917 d3.loss_cls: 0.3607 d3.loss_bbox: 0.1399 d3.loss_iou: 0.2910 d4.loss_cls: 0.3562 d4.loss_bbox: 0.1397 d4.loss_iou: 0.2885 enc_loss_cls: 0.4056 enc_loss_bbox: 0.1649 enc_loss_iou: 0.3302 dn_loss_cls: 0.1244 dn_loss_bbox: 0.1712 dn_loss_iou: 0.2399 d0.dn_loss_cls: 0.2069 d0.dn_loss_bbox: 0.3107 d0.dn_loss_iou: 0.3894 d1.dn_loss_cls: 0.1573 d1.dn_loss_bbox: 0.2016 d1.dn_loss_iou: 0.2748 d2.dn_loss_cls: 0.1412 d2.dn_loss_bbox: 0.1809 d2.dn_loss_iou: 0.2492 d3.dn_loss_cls: 0.1309 d3.dn_loss_bbox: 0.1725 d3.dn_loss_iou: 0.2412 d4.dn_loss_cls: 0.1251 d4.dn_loss_bbox: 0.1711 d4.dn_loss_iou: 0.2396 d1.loss_lmm_region: 0.3415 loss_lmm_image: 1.0537 2024/11/02 12:45:21 - mmengine - INFO - Iter(train) [ 2500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:59:07 time: 0.9694 data_time: 0.0163 memory: 20478 grad_norm: 33.4205 loss: 10.7039 loss_cls: 0.3213 loss_bbox: 0.1423 loss_iou: 0.2466 d0.loss_cls: 0.3572 d0.loss_bbox: 0.1590 d0.loss_iou: 0.2643 d1.loss_cls: 0.3446 d1.loss_bbox: 0.1421 d1.loss_iou: 0.2509 d2.loss_cls: 0.3305 d2.loss_bbox: 0.1429 d2.loss_iou: 0.2480 d3.loss_cls: 0.3264 d3.loss_bbox: 0.1419 d3.loss_iou: 0.2472 d4.loss_cls: 0.3255 d4.loss_bbox: 0.1412 d4.loss_iou: 0.2456 enc_loss_cls: 0.3691 enc_loss_bbox: 0.1709 enc_loss_iou: 0.2851 dn_loss_cls: 0.1340 dn_loss_bbox: 0.1973 dn_loss_iou: 0.2423 d0.dn_loss_cls: 0.2325 d0.dn_loss_bbox: 0.3859 d0.dn_loss_iou: 0.4091 d1.dn_loss_cls: 0.1772 d1.dn_loss_bbox: 0.2413 d1.dn_loss_iou: 0.2825 d2.dn_loss_cls: 0.1557 d2.dn_loss_bbox: 0.2084 d2.dn_loss_iou: 0.2527 d3.dn_loss_cls: 0.1420 d3.dn_loss_bbox: 0.1997 d3.dn_loss_iou: 0.2440 d4.dn_loss_cls: 0.1357 d4.dn_loss_bbox: 0.1974 d4.dn_loss_iou: 0.2424 d1.loss_lmm_region: 0.3437 loss_lmm_image: 1.0777 2024/11/02 12:47:00 - mmengine - INFO - Iter(train) [ 2600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:58:50 time: 0.9770 data_time: 0.0162 memory: 21374 grad_norm: 23.6622 loss: 10.6775 loss_cls: 0.3508 loss_bbox: 0.1387 loss_iou: 0.2747 d0.loss_cls: 0.3909 d0.loss_bbox: 0.1592 d0.loss_iou: 0.2997 d1.loss_cls: 0.3792 d1.loss_bbox: 0.1414 d1.loss_iou: 0.2813 d2.loss_cls: 0.3695 d2.loss_bbox: 0.1405 d2.loss_iou: 0.2775 d3.loss_cls: 0.3634 d3.loss_bbox: 0.1381 d3.loss_iou: 0.2731 d4.loss_cls: 0.3565 d4.loss_bbox: 0.1394 d4.loss_iou: 0.2756 enc_loss_cls: 0.4048 enc_loss_bbox: 0.1712 enc_loss_iou: 0.3224 dn_loss_cls: 0.1241 dn_loss_bbox: 0.1740 dn_loss_iou: 0.2420 d0.dn_loss_cls: 0.2079 d0.dn_loss_bbox: 0.3179 d0.dn_loss_iou: 0.3928 d1.dn_loss_cls: 0.1553 d1.dn_loss_bbox: 0.2065 d1.dn_loss_iou: 0.2758 d2.dn_loss_cls: 0.1393 d2.dn_loss_bbox: 0.1817 d2.dn_loss_iou: 0.2503 d3.dn_loss_cls: 0.1280 d3.dn_loss_bbox: 0.1760 d3.dn_loss_iou: 0.2438 d4.dn_loss_cls: 0.1258 d4.dn_loss_bbox: 0.1740 d4.dn_loss_iou: 0.2419 d1.loss_lmm_region: 0.2561 loss_lmm_image: 1.0161 2024/11/02 12:48:38 - mmengine - INFO - Iter(train) [ 2700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:57:19 time: 0.9906 data_time: 0.0161 memory: 21290 grad_norm: 22.5306 loss: 11.3925 loss_cls: 0.3465 loss_bbox: 0.1663 loss_iou: 0.3107 d0.loss_cls: 0.3792 d0.loss_bbox: 0.1851 d0.loss_iou: 0.3345 d1.loss_cls: 0.3600 d1.loss_bbox: 0.1774 d1.loss_iou: 0.3231 d2.loss_cls: 0.3521 d2.loss_bbox: 0.1679 d2.loss_iou: 0.3170 d3.loss_cls: 0.3550 d3.loss_bbox: 0.1619 d3.loss_iou: 0.3095 d4.loss_cls: 0.3488 d4.loss_bbox: 0.1651 d4.loss_iou: 0.3104 enc_loss_cls: 0.3982 enc_loss_bbox: 0.1947 enc_loss_iou: 0.3563 dn_loss_cls: 0.1171 dn_loss_bbox: 0.1980 dn_loss_iou: 0.2510 d0.dn_loss_cls: 0.2017 d0.dn_loss_bbox: 0.3639 d0.dn_loss_iou: 0.4109 d1.dn_loss_cls: 0.1469 d1.dn_loss_bbox: 0.2366 d1.dn_loss_iou: 0.2909 d2.dn_loss_cls: 0.1325 d2.dn_loss_bbox: 0.2108 d2.dn_loss_iou: 0.2628 d3.dn_loss_cls: 0.1232 d3.dn_loss_bbox: 0.2000 d3.dn_loss_iou: 0.2532 d4.dn_loss_cls: 0.1185 d4.dn_loss_bbox: 0.1980 d4.dn_loss_iou: 0.2509 d1.loss_lmm_region: 0.2915 loss_lmm_image: 1.1144 2024/11/02 12:50:14 - mmengine - INFO - Iter(train) [ 2800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:54:42 time: 0.9625 data_time: 0.0163 memory: 20976 grad_norm: 21.4459 loss: 10.6582 loss_cls: 0.3330 loss_bbox: 0.1485 loss_iou: 0.2804 d0.loss_cls: 0.3855 d0.loss_bbox: 0.1536 d0.loss_iou: 0.2927 d1.loss_cls: 0.3579 d1.loss_bbox: 0.1437 d1.loss_iou: 0.2821 d2.loss_cls: 0.3516 d2.loss_bbox: 0.1408 d2.loss_iou: 0.2744 d3.loss_cls: 0.3422 d3.loss_bbox: 0.1448 d3.loss_iou: 0.2773 d4.loss_cls: 0.3381 d4.loss_bbox: 0.1462 d4.loss_iou: 0.2782 enc_loss_cls: 0.3968 enc_loss_bbox: 0.1679 enc_loss_iou: 0.3120 dn_loss_cls: 0.1285 dn_loss_bbox: 0.1621 dn_loss_iou: 0.2320 d0.dn_loss_cls: 0.2348 d0.dn_loss_bbox: 0.3214 d0.dn_loss_iou: 0.3946 d1.dn_loss_cls: 0.1747 d1.dn_loss_bbox: 0.2057 d1.dn_loss_iou: 0.2728 d2.dn_loss_cls: 0.1517 d2.dn_loss_bbox: 0.1735 d2.dn_loss_iou: 0.2427 d3.dn_loss_cls: 0.1362 d3.dn_loss_bbox: 0.1635 d3.dn_loss_iou: 0.2335 d4.dn_loss_cls: 0.1301 d4.dn_loss_bbox: 0.1620 d4.dn_loss_iou: 0.2317 d1.loss_lmm_region: 0.3286 loss_lmm_image: 1.0303 2024/11/02 12:51:52 - mmengine - INFO - Iter(train) [ 2900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:53:00 time: 0.9822 data_time: 0.0162 memory: 20906 grad_norm: 25.5389 loss: 11.0866 loss_cls: 0.3573 loss_bbox: 0.1427 loss_iou: 0.2840 d0.loss_cls: 0.3927 d0.loss_bbox: 0.1637 d0.loss_iou: 0.3072 d1.loss_cls: 0.3784 d1.loss_bbox: 0.1535 d1.loss_iou: 0.2942 d2.loss_cls: 0.3703 d2.loss_bbox: 0.1455 d2.loss_iou: 0.2854 d3.loss_cls: 0.3637 d3.loss_bbox: 0.1432 d3.loss_iou: 0.2838 d4.loss_cls: 0.3594 d4.loss_bbox: 0.1426 d4.loss_iou: 0.2832 enc_loss_cls: 0.4044 enc_loss_bbox: 0.1770 enc_loss_iou: 0.3308 dn_loss_cls: 0.1270 dn_loss_bbox: 0.1959 dn_loss_iou: 0.2497 d0.dn_loss_cls: 0.2115 d0.dn_loss_bbox: 0.3695 d0.dn_loss_iou: 0.4237 d1.dn_loss_cls: 0.1600 d1.dn_loss_bbox: 0.2358 d1.dn_loss_iou: 0.2893 d2.dn_loss_cls: 0.1469 d2.dn_loss_bbox: 0.2059 d2.dn_loss_iou: 0.2593 d3.dn_loss_cls: 0.1381 d3.dn_loss_bbox: 0.1978 d3.dn_loss_iou: 0.2504 d4.dn_loss_cls: 0.1288 d4.dn_loss_bbox: 0.1959 d4.dn_loss_iou: 0.2497 d1.loss_lmm_region: 0.3139 loss_lmm_image: 0.9745 2024/11/02 12:53:29 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 12:53:29 - mmengine - INFO - Iter(train) [ 3000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:50:43 time: 0.9720 data_time: 0.0162 memory: 21308 grad_norm: 25.0925 loss: 10.7458 loss_cls: 0.3061 loss_bbox: 0.1545 loss_iou: 0.2601 d0.loss_cls: 0.3567 d0.loss_bbox: 0.1696 d0.loss_iou: 0.2796 d1.loss_cls: 0.3353 d1.loss_bbox: 0.1648 d1.loss_iou: 0.2708 d2.loss_cls: 0.3313 d2.loss_bbox: 0.1566 d2.loss_iou: 0.2621 d3.loss_cls: 0.3249 d3.loss_bbox: 0.1496 d3.loss_iou: 0.2576 d4.loss_cls: 0.3194 d4.loss_bbox: 0.1516 d4.loss_iou: 0.2580 enc_loss_cls: 0.3680 enc_loss_bbox: 0.1846 enc_loss_iou: 0.3006 dn_loss_cls: 0.1242 dn_loss_bbox: 0.2047 dn_loss_iou: 0.2384 d0.dn_loss_cls: 0.2169 d0.dn_loss_bbox: 0.3934 d0.dn_loss_iou: 0.4080 d1.dn_loss_cls: 0.1563 d1.dn_loss_bbox: 0.2546 d1.dn_loss_iou: 0.2788 d2.dn_loss_cls: 0.1387 d2.dn_loss_bbox: 0.2189 d2.dn_loss_iou: 0.2502 d3.dn_loss_cls: 0.1289 d3.dn_loss_bbox: 0.2062 d3.dn_loss_iou: 0.2401 d4.dn_loss_cls: 0.1243 d4.dn_loss_bbox: 0.2046 d4.dn_loss_iou: 0.2383 d1.loss_lmm_region: 0.2968 loss_lmm_image: 1.0618 2024/11/02 12:55:06 - mmengine - INFO - Iter(train) [ 3100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:49:20 time: 0.9702 data_time: 0.0163 memory: 20463 grad_norm: 21.4749 loss: 11.4147 loss_cls: 0.3438 loss_bbox: 0.1816 loss_iou: 0.3147 d0.loss_cls: 0.3743 d0.loss_bbox: 0.1938 d0.loss_iou: 0.3367 d1.loss_cls: 0.3635 d1.loss_bbox: 0.1805 d1.loss_iou: 0.3211 d2.loss_cls: 0.3530 d2.loss_bbox: 0.1807 d2.loss_iou: 0.3147 d3.loss_cls: 0.3477 d3.loss_bbox: 0.1829 d3.loss_iou: 0.3148 d4.loss_cls: 0.3446 d4.loss_bbox: 0.1798 d4.loss_iou: 0.3141 enc_loss_cls: 0.3944 enc_loss_bbox: 0.2034 enc_loss_iou: 0.3497 dn_loss_cls: 0.1293 dn_loss_bbox: 0.1910 dn_loss_iou: 0.2508 d0.dn_loss_cls: 0.2178 d0.dn_loss_bbox: 0.3354 d0.dn_loss_iou: 0.4083 d1.dn_loss_cls: 0.1653 d1.dn_loss_bbox: 0.2236 d1.dn_loss_iou: 0.2865 d2.dn_loss_cls: 0.1434 d2.dn_loss_bbox: 0.1995 d2.dn_loss_iou: 0.2595 d3.dn_loss_cls: 0.1346 d3.dn_loss_bbox: 0.1902 d3.dn_loss_iou: 0.2514 d4.dn_loss_cls: 0.1292 d4.dn_loss_bbox: 0.1910 d4.dn_loss_iou: 0.2506 d1.loss_lmm_region: 0.3046 loss_lmm_image: 1.0627 2024/11/02 12:56:43 - mmengine - INFO - Iter(train) [ 3200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:46:48 time: 0.9737 data_time: 0.0162 memory: 20489 grad_norm: 28.5821 loss: 10.1765 loss_cls: 0.3061 loss_bbox: 0.1407 loss_iou: 0.2354 d0.loss_cls: 0.3370 d0.loss_bbox: 0.1495 d0.loss_iou: 0.2568 d1.loss_cls: 0.3189 d1.loss_bbox: 0.1455 d1.loss_iou: 0.2451 d2.loss_cls: 0.3115 d2.loss_bbox: 0.1409 d2.loss_iou: 0.2371 d3.loss_cls: 0.3053 d3.loss_bbox: 0.1414 d3.loss_iou: 0.2374 d4.loss_cls: 0.3072 d4.loss_bbox: 0.1417 d4.loss_iou: 0.2368 enc_loss_cls: 0.3502 enc_loss_bbox: 0.1674 enc_loss_iou: 0.2772 dn_loss_cls: 0.1150 dn_loss_bbox: 0.1922 dn_loss_iou: 0.2281 d0.dn_loss_cls: 0.2065 d0.dn_loss_bbox: 0.3552 d0.dn_loss_iou: 0.3859 d1.dn_loss_cls: 0.1490 d1.dn_loss_bbox: 0.2255 d1.dn_loss_iou: 0.2624 d2.dn_loss_cls: 0.1306 d2.dn_loss_bbox: 0.2000 d2.dn_loss_iou: 0.2366 d3.dn_loss_cls: 0.1214 d3.dn_loss_bbox: 0.1936 d3.dn_loss_iou: 0.2296 d4.dn_loss_cls: 0.1162 d4.dn_loss_bbox: 0.1924 d4.dn_loss_iou: 0.2280 d1.loss_lmm_region: 0.3312 loss_lmm_image: 1.0879 2024/11/02 12:58:21 - mmengine - INFO - Iter(train) [ 3300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:45:36 time: 0.9594 data_time: 0.0162 memory: 21156 grad_norm: 25.6005 loss: 10.4554 loss_cls: 0.3730 loss_bbox: 0.1348 loss_iou: 0.2686 d0.loss_cls: 0.4185 d0.loss_bbox: 0.1374 d0.loss_iou: 0.2767 d1.loss_cls: 0.3898 d1.loss_bbox: 0.1358 d1.loss_iou: 0.2728 d2.loss_cls: 0.3864 d2.loss_bbox: 0.1331 d2.loss_iou: 0.2682 d3.loss_cls: 0.3769 d3.loss_bbox: 0.1345 d3.loss_iou: 0.2704 d4.loss_cls: 0.3749 d4.loss_bbox: 0.1336 d4.loss_iou: 0.2677 enc_loss_cls: 0.4148 enc_loss_bbox: 0.1569 enc_loss_iou: 0.3034 dn_loss_cls: 0.1158 dn_loss_bbox: 0.1677 dn_loss_iou: 0.1992 d0.dn_loss_cls: 0.2131 d0.dn_loss_bbox: 0.3316 d0.dn_loss_iou: 0.3503 d1.dn_loss_cls: 0.1468 d1.dn_loss_bbox: 0.2035 d1.dn_loss_iou: 0.2343 d2.dn_loss_cls: 0.1284 d2.dn_loss_bbox: 0.1767 d2.dn_loss_iou: 0.2086 d3.dn_loss_cls: 0.1205 d3.dn_loss_bbox: 0.1692 d3.dn_loss_iou: 0.2009 d4.dn_loss_cls: 0.1160 d4.dn_loss_bbox: 0.1677 d4.dn_loss_iou: 0.1992 d1.loss_lmm_region: 0.3151 loss_lmm_image: 1.0625 2024/11/02 12:59:59 - mmengine - INFO - Iter(train) [ 3400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:44:21 time: 0.9893 data_time: 0.0163 memory: 20142 grad_norm: 22.8387 loss: 10.7282 loss_cls: 0.3043 loss_bbox: 0.1453 loss_iou: 0.2508 d0.loss_cls: 0.3397 d0.loss_bbox: 0.1741 d0.loss_iou: 0.2771 d1.loss_cls: 0.3263 d1.loss_bbox: 0.1573 d1.loss_iou: 0.2644 d2.loss_cls: 0.3198 d2.loss_bbox: 0.1495 d2.loss_iou: 0.2553 d3.loss_cls: 0.3086 d3.loss_bbox: 0.1504 d3.loss_iou: 0.2547 d4.loss_cls: 0.3055 d4.loss_bbox: 0.1472 d4.loss_iou: 0.2522 enc_loss_cls: 0.3606 enc_loss_bbox: 0.1799 enc_loss_iou: 0.2913 dn_loss_cls: 0.1297 dn_loss_bbox: 0.2150 dn_loss_iou: 0.2469 d0.dn_loss_cls: 0.2293 d0.dn_loss_bbox: 0.4052 d0.dn_loss_iou: 0.4161 d1.dn_loss_cls: 0.1689 d1.dn_loss_bbox: 0.2575 d1.dn_loss_iou: 0.2848 d2.dn_loss_cls: 0.1510 d2.dn_loss_bbox: 0.2247 d2.dn_loss_iou: 0.2567 d3.dn_loss_cls: 0.1396 d3.dn_loss_bbox: 0.2159 d3.dn_loss_iou: 0.2481 d4.dn_loss_cls: 0.1350 d4.dn_loss_bbox: 0.2149 d4.dn_loss_iou: 0.2467 d1.loss_lmm_region: 0.3242 loss_lmm_image: 1.0037 2024/11/02 13:01:37 - mmengine - INFO - Iter(train) [ 3500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:42:38 time: 0.9730 data_time: 0.0161 memory: 21209 grad_norm: 23.7690 loss: 9.3271 loss_cls: 0.3159 loss_bbox: 0.1055 loss_iou: 0.2342 d0.loss_cls: 0.3491 d0.loss_bbox: 0.1134 d0.loss_iou: 0.2515 d1.loss_cls: 0.3337 d1.loss_bbox: 0.1095 d1.loss_iou: 0.2404 d2.loss_cls: 0.3245 d2.loss_bbox: 0.1066 d2.loss_iou: 0.2370 d3.loss_cls: 0.3210 d3.loss_bbox: 0.1073 d3.loss_iou: 0.2346 d4.loss_cls: 0.3171 d4.loss_bbox: 0.1057 d4.loss_iou: 0.2346 enc_loss_cls: 0.3605 enc_loss_bbox: 0.1342 enc_loss_iou: 0.2795 dn_loss_cls: 0.1127 dn_loss_bbox: 0.1298 dn_loss_iou: 0.2013 d0.dn_loss_cls: 0.1969 d0.dn_loss_bbox: 0.2692 d0.dn_loss_iou: 0.3495 d1.dn_loss_cls: 0.1424 d1.dn_loss_bbox: 0.1625 d1.dn_loss_iou: 0.2375 d2.dn_loss_cls: 0.1297 d2.dn_loss_bbox: 0.1391 d2.dn_loss_iou: 0.2103 d3.dn_loss_cls: 0.1176 d3.dn_loss_bbox: 0.1318 d3.dn_loss_iou: 0.2032 d4.dn_loss_cls: 0.1138 d4.dn_loss_bbox: 0.1298 d4.dn_loss_iou: 0.2012 d1.loss_lmm_region: 0.2680 loss_lmm_image: 1.0649 2024/11/02 13:03:15 - mmengine - INFO - Iter(train) [ 3600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:41:33 time: 0.9945 data_time: 0.0163 memory: 21821 grad_norm: 27.3729 loss: 10.4320 loss_cls: 0.3318 loss_bbox: 0.1463 loss_iou: 0.2472 d0.loss_cls: 0.3586 d0.loss_bbox: 0.1561 d0.loss_iou: 0.2645 d1.loss_cls: 0.3386 d1.loss_bbox: 0.1519 d1.loss_iou: 0.2557 d2.loss_cls: 0.3388 d2.loss_bbox: 0.1446 d2.loss_iou: 0.2479 d3.loss_cls: 0.3377 d3.loss_bbox: 0.1429 d3.loss_iou: 0.2454 d4.loss_cls: 0.3321 d4.loss_bbox: 0.1452 d4.loss_iou: 0.2477 enc_loss_cls: 0.3710 enc_loss_bbox: 0.1748 enc_loss_iou: 0.2894 dn_loss_cls: 0.1144 dn_loss_bbox: 0.2002 dn_loss_iou: 0.2343 d0.dn_loss_cls: 0.2129 d0.dn_loss_bbox: 0.3644 d0.dn_loss_iou: 0.3955 d1.dn_loss_cls: 0.1516 d1.dn_loss_bbox: 0.2424 d1.dn_loss_iou: 0.2716 d2.dn_loss_cls: 0.1313 d2.dn_loss_bbox: 0.2123 d2.dn_loss_iou: 0.2442 d3.dn_loss_cls: 0.1219 d3.dn_loss_bbox: 0.2022 d3.dn_loss_iou: 0.2361 d4.dn_loss_cls: 0.1152 d4.dn_loss_bbox: 0.2003 d4.dn_loss_iou: 0.2343 d1.loss_lmm_region: 0.2935 loss_lmm_image: 0.9852 2024/11/02 13:04:52 - mmengine - INFO - Iter(train) [ 3700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:39:13 time: 0.9635 data_time: 0.0162 memory: 20429 grad_norm: 21.0234 loss: 9.8718 loss_cls: 0.3201 loss_bbox: 0.1309 loss_iou: 0.2359 d0.loss_cls: 0.3496 d0.loss_bbox: 0.1391 d0.loss_iou: 0.2519 d1.loss_cls: 0.3365 d1.loss_bbox: 0.1284 d1.loss_iou: 0.2383 d2.loss_cls: 0.3263 d2.loss_bbox: 0.1296 d2.loss_iou: 0.2367 d3.loss_cls: 0.3270 d3.loss_bbox: 0.1276 d3.loss_iou: 0.2344 d4.loss_cls: 0.3227 d4.loss_bbox: 0.1307 d4.loss_iou: 0.2368 enc_loss_cls: 0.3638 enc_loss_bbox: 0.1542 enc_loss_iou: 0.2751 dn_loss_cls: 0.1138 dn_loss_bbox: 0.1597 dn_loss_iou: 0.2202 d0.dn_loss_cls: 0.2103 d0.dn_loss_bbox: 0.3388 d0.dn_loss_iou: 0.3914 d1.dn_loss_cls: 0.1508 d1.dn_loss_bbox: 0.1973 d1.dn_loss_iou: 0.2593 d2.dn_loss_cls: 0.1303 d2.dn_loss_bbox: 0.1719 d2.dn_loss_iou: 0.2314 d3.dn_loss_cls: 0.1220 d3.dn_loss_bbox: 0.1616 d3.dn_loss_iou: 0.2223 d4.dn_loss_cls: 0.1163 d4.dn_loss_bbox: 0.1596 d4.dn_loss_iou: 0.2203 d1.loss_lmm_region: 0.2529 loss_lmm_image: 1.0458 2024/11/02 13:06:30 - mmengine - INFO - Iter(train) [ 3800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:38:20 time: 0.9806 data_time: 0.0164 memory: 20808 grad_norm: 24.7221 loss: 12.1070 loss_cls: 0.3777 loss_bbox: 0.1754 loss_iou: 0.3334 d0.loss_cls: 0.4197 d0.loss_bbox: 0.1909 d0.loss_iou: 0.3534 d1.loss_cls: 0.3974 d1.loss_bbox: 0.1792 d1.loss_iou: 0.3369 d2.loss_cls: 0.3895 d2.loss_bbox: 0.1741 d2.loss_iou: 0.3335 d3.loss_cls: 0.3807 d3.loss_bbox: 0.1764 d3.loss_iou: 0.3340 d4.loss_cls: 0.3769 d4.loss_bbox: 0.1764 d4.loss_iou: 0.3351 enc_loss_cls: 0.4311 enc_loss_bbox: 0.2057 enc_loss_iou: 0.3761 dn_loss_cls: 0.1425 dn_loss_bbox: 0.2108 dn_loss_iou: 0.2709 d0.dn_loss_cls: 0.2295 d0.dn_loss_bbox: 0.3706 d0.dn_loss_iou: 0.4326 d1.dn_loss_cls: 0.1781 d1.dn_loss_bbox: 0.2425 d1.dn_loss_iou: 0.3098 d2.dn_loss_cls: 0.1592 d2.dn_loss_bbox: 0.2197 d2.dn_loss_iou: 0.2817 d3.dn_loss_cls: 0.1499 d3.dn_loss_bbox: 0.2122 d3.dn_loss_iou: 0.2726 d4.dn_loss_cls: 0.1458 d4.dn_loss_bbox: 0.2108 d4.dn_loss_iou: 0.2709 d1.loss_lmm_region: 0.3065 loss_lmm_image: 1.0369 2024/11/02 13:08:07 - mmengine - INFO - Iter(train) [ 3900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:36:27 time: 0.9720 data_time: 0.0162 memory: 20464 grad_norm: 24.6144 loss: 11.3594 loss_cls: 0.3505 loss_bbox: 0.1581 loss_iou: 0.2799 d0.loss_cls: 0.3781 d0.loss_bbox: 0.1725 d0.loss_iou: 0.2944 d1.loss_cls: 0.3549 d1.loss_bbox: 0.1672 d1.loss_iou: 0.2922 d2.loss_cls: 0.3561 d2.loss_bbox: 0.1614 d2.loss_iou: 0.2818 d3.loss_cls: 0.3500 d3.loss_bbox: 0.1585 d3.loss_iou: 0.2802 d4.loss_cls: 0.3493 d4.loss_bbox: 0.1600 d4.loss_iou: 0.2800 enc_loss_cls: 0.3938 enc_loss_bbox: 0.1821 enc_loss_iou: 0.3131 dn_loss_cls: 0.1347 dn_loss_bbox: 0.2123 dn_loss_iou: 0.2698 d0.dn_loss_cls: 0.2329 d0.dn_loss_bbox: 0.3764 d0.dn_loss_iou: 0.4277 d1.dn_loss_cls: 0.1689 d1.dn_loss_bbox: 0.2478 d1.dn_loss_iou: 0.3073 d2.dn_loss_cls: 0.1507 d2.dn_loss_bbox: 0.2219 d2.dn_loss_iou: 0.2803 d3.dn_loss_cls: 0.1380 d3.dn_loss_bbox: 0.2133 d3.dn_loss_iou: 0.2711 d4.dn_loss_cls: 0.1356 d4.dn_loss_bbox: 0.2125 d4.dn_loss_iou: 0.2700 d1.loss_lmm_region: 0.3500 loss_lmm_image: 1.0246 2024/11/02 13:09:45 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 13:09:46 - mmengine - INFO - Iter(train) [ 4000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:35:06 time: 0.9716 data_time: 0.0163 memory: 20412 grad_norm: 24.5106 loss: 10.3824 loss_cls: 0.3451 loss_bbox: 0.1420 loss_iou: 0.2810 d0.loss_cls: 0.3772 d0.loss_bbox: 0.1632 d0.loss_iou: 0.3084 d1.loss_cls: 0.3589 d1.loss_bbox: 0.1540 d1.loss_iou: 0.2944 d2.loss_cls: 0.3502 d2.loss_bbox: 0.1505 d2.loss_iou: 0.2890 d3.loss_cls: 0.3485 d3.loss_bbox: 0.1475 d3.loss_iou: 0.2830 d4.loss_cls: 0.3479 d4.loss_bbox: 0.1424 d4.loss_iou: 0.2813 enc_loss_cls: 0.3968 enc_loss_bbox: 0.1748 enc_loss_iou: 0.3353 dn_loss_cls: 0.0965 dn_loss_bbox: 0.1558 dn_loss_iou: 0.2166 d0.dn_loss_cls: 0.1909 d0.dn_loss_bbox: 0.3221 d0.dn_loss_iou: 0.3751 d1.dn_loss_cls: 0.1274 d1.dn_loss_bbox: 0.1945 d1.dn_loss_iou: 0.2519 d2.dn_loss_cls: 0.1102 d2.dn_loss_bbox: 0.1663 d2.dn_loss_iou: 0.2263 d3.dn_loss_cls: 0.1010 d3.dn_loss_bbox: 0.1574 d3.dn_loss_iou: 0.2180 d4.dn_loss_cls: 0.0975 d4.dn_loss_bbox: 0.1558 d4.dn_loss_iou: 0.2163 d1.loss_lmm_region: 0.2859 loss_lmm_image: 1.0456 2024/11/02 13:11:24 - mmengine - INFO - Iter(train) [ 4100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:34:01 time: 0.9959 data_time: 0.0162 memory: 21502 grad_norm: 22.4003 loss: 9.4570 loss_cls: 0.2937 loss_bbox: 0.1139 loss_iou: 0.1997 d0.loss_cls: 0.3292 d0.loss_bbox: 0.1300 d0.loss_iou: 0.2227 d1.loss_cls: 0.3112 d1.loss_bbox: 0.1201 d1.loss_iou: 0.2083 d2.loss_cls: 0.3034 d2.loss_bbox: 0.1141 d2.loss_iou: 0.2012 d3.loss_cls: 0.2997 d3.loss_bbox: 0.1128 d3.loss_iou: 0.2000 d4.loss_cls: 0.2931 d4.loss_bbox: 0.1146 d4.loss_iou: 0.2000 enc_loss_cls: 0.3332 enc_loss_bbox: 0.1482 enc_loss_iou: 0.2470 dn_loss_cls: 0.1120 dn_loss_bbox: 0.1757 dn_loss_iou: 0.2142 d0.dn_loss_cls: 0.1856 d0.dn_loss_bbox: 0.3595 d0.dn_loss_iou: 0.3876 d1.dn_loss_cls: 0.1347 d1.dn_loss_bbox: 0.2200 d1.dn_loss_iou: 0.2590 d2.dn_loss_cls: 0.1233 d2.dn_loss_bbox: 0.1868 d2.dn_loss_iou: 0.2261 d3.dn_loss_cls: 0.1138 d3.dn_loss_bbox: 0.1779 d3.dn_loss_iou: 0.2158 d4.dn_loss_cls: 0.1124 d4.dn_loss_bbox: 0.1756 d4.dn_loss_iou: 0.2142 d1.loss_lmm_region: 0.2838 loss_lmm_image: 1.0831 2024/11/02 13:13:02 - mmengine - INFO - Iter(train) [ 4200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:32:42 time: 0.9691 data_time: 0.0163 memory: 20992 grad_norm: 22.7338 loss: 10.1761 loss_cls: 0.3019 loss_bbox: 0.1370 loss_iou: 0.2347 d0.loss_cls: 0.3354 d0.loss_bbox: 0.1513 d0.loss_iou: 0.2511 d1.loss_cls: 0.3198 d1.loss_bbox: 0.1410 d1.loss_iou: 0.2424 d2.loss_cls: 0.3188 d2.loss_bbox: 0.1369 d2.loss_iou: 0.2358 d3.loss_cls: 0.3065 d3.loss_bbox: 0.1383 d3.loss_iou: 0.2362 d4.loss_cls: 0.3070 d4.loss_bbox: 0.1346 d4.loss_iou: 0.2324 enc_loss_cls: 0.3549 enc_loss_bbox: 0.1650 enc_loss_iou: 0.2698 dn_loss_cls: 0.1022 dn_loss_bbox: 0.1961 dn_loss_iou: 0.2393 d0.dn_loss_cls: 0.2009 d0.dn_loss_bbox: 0.3865 d0.dn_loss_iou: 0.4138 d1.dn_loss_cls: 0.1372 d1.dn_loss_bbox: 0.2432 d1.dn_loss_iou: 0.2830 d2.dn_loss_cls: 0.1166 d2.dn_loss_bbox: 0.2067 d2.dn_loss_iou: 0.2509 d3.dn_loss_cls: 0.1062 d3.dn_loss_bbox: 0.1987 d3.dn_loss_iou: 0.2416 d4.dn_loss_cls: 0.1016 d4.dn_loss_bbox: 0.1961 d4.dn_loss_iou: 0.2393 d1.loss_lmm_region: 0.3066 loss_lmm_image: 1.0590 2024/11/02 13:14:40 - mmengine - INFO - Iter(train) [ 4300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:31:11 time: 0.9893 data_time: 0.0163 memory: 19493 grad_norm: 23.7669 loss: 9.5031 loss_cls: 0.2993 loss_bbox: 0.1191 loss_iou: 0.2207 d0.loss_cls: 0.3262 d0.loss_bbox: 0.1324 d0.loss_iou: 0.2414 d1.loss_cls: 0.3083 d1.loss_bbox: 0.1263 d1.loss_iou: 0.2300 d2.loss_cls: 0.3040 d2.loss_bbox: 0.1233 d2.loss_iou: 0.2235 d3.loss_cls: 0.3030 d3.loss_bbox: 0.1211 d3.loss_iou: 0.2219 d4.loss_cls: 0.2983 d4.loss_bbox: 0.1219 d4.loss_iou: 0.2219 enc_loss_cls: 0.3399 enc_loss_bbox: 0.1402 enc_loss_iou: 0.2552 dn_loss_cls: 0.1088 dn_loss_bbox: 0.1656 dn_loss_iou: 0.2160 d0.dn_loss_cls: 0.2029 d0.dn_loss_bbox: 0.3342 d0.dn_loss_iou: 0.3784 d1.dn_loss_cls: 0.1453 d1.dn_loss_bbox: 0.2051 d1.dn_loss_iou: 0.2558 d2.dn_loss_cls: 0.1269 d2.dn_loss_bbox: 0.1752 d2.dn_loss_iou: 0.2266 d3.dn_loss_cls: 0.1165 d3.dn_loss_bbox: 0.1675 d3.dn_loss_iou: 0.2180 d4.dn_loss_cls: 0.1106 d4.dn_loss_bbox: 0.1656 d4.dn_loss_iou: 0.2159 d1.loss_lmm_region: 0.2384 loss_lmm_image: 1.0518 2024/11/02 13:16:16 - mmengine - INFO - Iter(train) [ 4400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:28:48 time: 0.9622 data_time: 0.0163 memory: 20323 grad_norm: 20.5936 loss: 11.0024 loss_cls: 0.3549 loss_bbox: 0.1546 loss_iou: 0.2862 d0.loss_cls: 0.3769 d0.loss_bbox: 0.1740 d0.loss_iou: 0.3131 d1.loss_cls: 0.3592 d1.loss_bbox: 0.1624 d1.loss_iou: 0.2959 d2.loss_cls: 0.3598 d2.loss_bbox: 0.1564 d2.loss_iou: 0.2904 d3.loss_cls: 0.3548 d3.loss_bbox: 0.1565 d3.loss_iou: 0.2898 d4.loss_cls: 0.3553 d4.loss_bbox: 0.1546 d4.loss_iou: 0.2871 enc_loss_cls: 0.3933 enc_loss_bbox: 0.1842 enc_loss_iou: 0.3312 dn_loss_cls: 0.1031 dn_loss_bbox: 0.1947 dn_loss_iou: 0.2572 d0.dn_loss_cls: 0.1990 d0.dn_loss_bbox: 0.3674 d0.dn_loss_iou: 0.4200 d1.dn_loss_cls: 0.1410 d1.dn_loss_bbox: 0.2371 d1.dn_loss_iou: 0.2964 d2.dn_loss_cls: 0.1221 d2.dn_loss_bbox: 0.2062 d2.dn_loss_iou: 0.2675 d3.dn_loss_cls: 0.1094 d3.dn_loss_bbox: 0.1965 d3.dn_loss_iou: 0.2585 d4.dn_loss_cls: 0.1037 d4.dn_loss_bbox: 0.1947 d4.dn_loss_iou: 0.2571 d1.loss_lmm_region: 0.2468 loss_lmm_image: 1.0335 2024/11/02 13:17:54 - mmengine - INFO - Iter(train) [ 4500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:27:05 time: 0.9678 data_time: 0.0163 memory: 20609 grad_norm: 22.4526 loss: 9.8955 loss_cls: 0.2911 loss_bbox: 0.1353 loss_iou: 0.2274 d0.loss_cls: 0.3324 d0.loss_bbox: 0.1429 d0.loss_iou: 0.2397 d1.loss_cls: 0.3133 d1.loss_bbox: 0.1366 d1.loss_iou: 0.2318 d2.loss_cls: 0.3039 d2.loss_bbox: 0.1366 d2.loss_iou: 0.2288 d3.loss_cls: 0.2999 d3.loss_bbox: 0.1341 d3.loss_iou: 0.2256 d4.loss_cls: 0.2944 d4.loss_bbox: 0.1348 d4.loss_iou: 0.2261 enc_loss_cls: 0.3512 enc_loss_bbox: 0.1564 enc_loss_iou: 0.2633 dn_loss_cls: 0.1076 dn_loss_bbox: 0.1960 dn_loss_iou: 0.2322 d0.dn_loss_cls: 0.1970 d0.dn_loss_bbox: 0.3566 d0.dn_loss_iou: 0.3859 d1.dn_loss_cls: 0.1364 d1.dn_loss_bbox: 0.2330 d1.dn_loss_iou: 0.2686 d2.dn_loss_cls: 0.1212 d2.dn_loss_bbox: 0.2051 d2.dn_loss_iou: 0.2412 d3.dn_loss_cls: 0.1113 d3.dn_loss_bbox: 0.1974 d3.dn_loss_iou: 0.2339 d4.dn_loss_cls: 0.1070 d4.dn_loss_bbox: 0.1960 d4.dn_loss_iou: 0.2323 d1.loss_lmm_region: 0.2823 loss_lmm_image: 1.0487 2024/11/02 13:19:31 - mmengine - INFO - Iter(train) [ 4600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:25:21 time: 0.9827 data_time: 0.0162 memory: 21211 grad_norm: 21.6684 loss: 10.2178 loss_cls: 0.3108 loss_bbox: 0.1394 loss_iou: 0.2641 d0.loss_cls: 0.3407 d0.loss_bbox: 0.1550 d0.loss_iou: 0.2846 d1.loss_cls: 0.3263 d1.loss_bbox: 0.1479 d1.loss_iou: 0.2724 d2.loss_cls: 0.3179 d2.loss_bbox: 0.1431 d2.loss_iou: 0.2668 d3.loss_cls: 0.3184 d3.loss_bbox: 0.1419 d3.loss_iou: 0.2662 d4.loss_cls: 0.3126 d4.loss_bbox: 0.1401 d4.loss_iou: 0.2644 enc_loss_cls: 0.3579 enc_loss_bbox: 0.1674 enc_loss_iou: 0.3067 dn_loss_cls: 0.1200 dn_loss_bbox: 0.1794 dn_loss_iou: 0.2340 d0.dn_loss_cls: 0.1966 d0.dn_loss_bbox: 0.3321 d0.dn_loss_iou: 0.3808 d1.dn_loss_cls: 0.1459 d1.dn_loss_bbox: 0.2108 d1.dn_loss_iou: 0.2679 d2.dn_loss_cls: 0.1311 d2.dn_loss_bbox: 0.1857 d2.dn_loss_iou: 0.2426 d3.dn_loss_cls: 0.1246 d3.dn_loss_bbox: 0.1806 d3.dn_loss_iou: 0.2354 d4.dn_loss_cls: 0.1202 d4.dn_loss_bbox: 0.1795 d4.dn_loss_iou: 0.2339 d1.loss_lmm_region: 0.2634 loss_lmm_image: 1.0090 2024/11/02 13:21:09 - mmengine - INFO - Iter(train) [ 4700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:23:49 time: 0.9776 data_time: 0.0163 memory: 20438 grad_norm: 21.2469 loss: 9.2393 loss_cls: 0.3049 loss_bbox: 0.1082 loss_iou: 0.2164 d0.loss_cls: 0.3297 d0.loss_bbox: 0.1228 d0.loss_iou: 0.2364 d1.loss_cls: 0.3163 d1.loss_bbox: 0.1168 d1.loss_iou: 0.2312 d2.loss_cls: 0.3133 d2.loss_bbox: 0.1117 d2.loss_iou: 0.2224 d3.loss_cls: 0.3085 d3.loss_bbox: 0.1068 d3.loss_iou: 0.2141 d4.loss_cls: 0.3069 d4.loss_bbox: 0.1061 d4.loss_iou: 0.2133 enc_loss_cls: 0.3475 enc_loss_bbox: 0.1354 enc_loss_iou: 0.2586 dn_loss_cls: 0.1139 dn_loss_bbox: 0.1413 dn_loss_iou: 0.2125 d0.dn_loss_cls: 0.1965 d0.dn_loss_bbox: 0.2767 d0.dn_loss_iou: 0.3636 d1.dn_loss_cls: 0.1475 d1.dn_loss_bbox: 0.1704 d1.dn_loss_iou: 0.2489 d2.dn_loss_cls: 0.1302 d2.dn_loss_bbox: 0.1500 d2.dn_loss_iou: 0.2222 d3.dn_loss_cls: 0.1177 d3.dn_loss_bbox: 0.1432 d3.dn_loss_iou: 0.2138 d4.dn_loss_cls: 0.1145 d4.dn_loss_bbox: 0.1415 d4.dn_loss_iou: 0.2125 d1.loss_lmm_region: 0.2761 loss_lmm_image: 1.0191 2024/11/02 13:22:47 - mmengine - INFO - Iter(train) [ 4800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:22:19 time: 0.9833 data_time: 0.0162 memory: 20969 grad_norm: 23.0148 loss: 10.1960 loss_cls: 0.3495 loss_bbox: 0.1361 loss_iou: 0.2720 d0.loss_cls: 0.3983 d0.loss_bbox: 0.1533 d0.loss_iou: 0.2960 d1.loss_cls: 0.3687 d1.loss_bbox: 0.1443 d1.loss_iou: 0.2808 d2.loss_cls: 0.3632 d2.loss_bbox: 0.1397 d2.loss_iou: 0.2750 d3.loss_cls: 0.3555 d3.loss_bbox: 0.1373 d3.loss_iou: 0.2724 d4.loss_cls: 0.3520 d4.loss_bbox: 0.1369 d4.loss_iou: 0.2725 enc_loss_cls: 0.4091 enc_loss_bbox: 0.1651 enc_loss_iou: 0.3175 dn_loss_cls: 0.1011 dn_loss_bbox: 0.1614 dn_loss_iou: 0.2098 d0.dn_loss_cls: 0.1876 d0.dn_loss_bbox: 0.3044 d0.dn_loss_iou: 0.3525 d1.dn_loss_cls: 0.1315 d1.dn_loss_bbox: 0.1949 d1.dn_loss_iou: 0.2442 d2.dn_loss_cls: 0.1147 d2.dn_loss_bbox: 0.1730 d2.dn_loss_iou: 0.2202 d3.dn_loss_cls: 0.1057 d3.dn_loss_bbox: 0.1627 d3.dn_loss_iou: 0.2115 d4.dn_loss_cls: 0.1019 d4.dn_loss_bbox: 0.1613 d4.dn_loss_iou: 0.2097 d1.loss_lmm_region: 0.2579 loss_lmm_image: 0.9947 2024/11/02 13:24:25 - mmengine - INFO - Iter(train) [ 4900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:20:48 time: 0.9685 data_time: 0.0163 memory: 20526 grad_norm: 22.3838 loss: 10.3046 loss_cls: 0.3538 loss_bbox: 0.1322 loss_iou: 0.2622 d0.loss_cls: 0.3857 d0.loss_bbox: 0.1521 d0.loss_iou: 0.2911 d1.loss_cls: 0.3680 d1.loss_bbox: 0.1437 d1.loss_iou: 0.2761 d2.loss_cls: 0.3562 d2.loss_bbox: 0.1399 d2.loss_iou: 0.2680 d3.loss_cls: 0.3586 d3.loss_bbox: 0.1320 d3.loss_iou: 0.2608 d4.loss_cls: 0.3555 d4.loss_bbox: 0.1318 d4.loss_iou: 0.2618 enc_loss_cls: 0.4031 enc_loss_bbox: 0.1656 enc_loss_iou: 0.3118 dn_loss_cls: 0.1447 dn_loss_bbox: 0.1460 dn_loss_iou: 0.2025 d0.dn_loss_cls: 0.2144 d0.dn_loss_bbox: 0.2916 d0.dn_loss_iou: 0.3525 d1.dn_loss_cls: 0.1658 d1.dn_loss_bbox: 0.1800 d1.dn_loss_iou: 0.2389 d2.dn_loss_cls: 0.1573 d2.dn_loss_bbox: 0.1565 d2.dn_loss_iou: 0.2123 d3.dn_loss_cls: 0.1500 d3.dn_loss_bbox: 0.1485 d3.dn_loss_iou: 0.2043 d4.dn_loss_cls: 0.1437 d4.dn_loss_bbox: 0.1461 d4.dn_loss_iou: 0.2026 d1.loss_lmm_region: 0.2985 loss_lmm_image: 1.0383 2024/11/02 13:26:02 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 13:26:02 - mmengine - INFO - Iter(train) [ 5000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:19:12 time: 0.9906 data_time: 0.0163 memory: 20042 grad_norm: 23.7414 loss: 10.4375 loss_cls: 0.3021 loss_bbox: 0.1498 loss_iou: 0.2478 d0.loss_cls: 0.3334 d0.loss_bbox: 0.1562 d0.loss_iou: 0.2596 d1.loss_cls: 0.3144 d1.loss_bbox: 0.1522 d1.loss_iou: 0.2529 d2.loss_cls: 0.3109 d2.loss_bbox: 0.1500 d2.loss_iou: 0.2486 d3.loss_cls: 0.3045 d3.loss_bbox: 0.1506 d3.loss_iou: 0.2495 d4.loss_cls: 0.3026 d4.loss_bbox: 0.1500 d4.loss_iou: 0.2483 enc_loss_cls: 0.3521 enc_loss_bbox: 0.1750 enc_loss_iou: 0.2815 dn_loss_cls: 0.1084 dn_loss_bbox: 0.2148 dn_loss_iou: 0.2550 d0.dn_loss_cls: 0.2112 d0.dn_loss_bbox: 0.4029 d0.dn_loss_iou: 0.4215 d1.dn_loss_cls: 0.1482 d1.dn_loss_bbox: 0.2568 d1.dn_loss_iou: 0.2907 d2.dn_loss_cls: 0.1252 d2.dn_loss_bbox: 0.2251 d2.dn_loss_iou: 0.2642 d3.dn_loss_cls: 0.1156 d3.dn_loss_bbox: 0.2151 d3.dn_loss_iou: 0.2560 d4.dn_loss_cls: 0.1103 d4.dn_loss_bbox: 0.2149 d4.dn_loss_iou: 0.2549 d1.loss_lmm_region: 0.2590 loss_lmm_image: 0.9958 2024/11/02 13:27:39 - mmengine - INFO - Iter(train) [ 5100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:17:00 time: 0.9552 data_time: 0.0163 memory: 20711 grad_norm: 24.2367 loss: 10.5217 loss_cls: 0.3362 loss_bbox: 0.1581 loss_iou: 0.2676 d0.loss_cls: 0.3624 d0.loss_bbox: 0.1748 d0.loss_iou: 0.2882 d1.loss_cls: 0.3495 d1.loss_bbox: 0.1545 d1.loss_iou: 0.2677 d2.loss_cls: 0.3452 d2.loss_bbox: 0.1553 d2.loss_iou: 0.2646 d3.loss_cls: 0.3366 d3.loss_bbox: 0.1588 d3.loss_iou: 0.2699 d4.loss_cls: 0.3402 d4.loss_bbox: 0.1561 d4.loss_iou: 0.2648 enc_loss_cls: 0.3732 enc_loss_bbox: 0.1903 enc_loss_iou: 0.3083 dn_loss_cls: 0.1187 dn_loss_bbox: 0.1858 dn_loss_iou: 0.2270 d0.dn_loss_cls: 0.2009 d0.dn_loss_bbox: 0.3585 d0.dn_loss_iou: 0.3895 d1.dn_loss_cls: 0.1475 d1.dn_loss_bbox: 0.2231 d1.dn_loss_iou: 0.2650 d2.dn_loss_cls: 0.1339 d2.dn_loss_bbox: 0.1964 d2.dn_loss_iou: 0.2374 d3.dn_loss_cls: 0.1245 d3.dn_loss_bbox: 0.1875 d3.dn_loss_iou: 0.2286 d4.dn_loss_cls: 0.1196 d4.dn_loss_bbox: 0.1859 d4.dn_loss_iou: 0.2270 d1.loss_lmm_region: 0.2242 loss_lmm_image: 1.0186 2024/11/02 13:29:16 - mmengine - INFO - Iter(train) [ 5200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:15:26 time: 0.9754 data_time: 0.0164 memory: 21475 grad_norm: 25.5993 loss: 10.4349 loss_cls: 0.3486 loss_bbox: 0.1500 loss_iou: 0.2758 d0.loss_cls: 0.3845 d0.loss_bbox: 0.1563 d0.loss_iou: 0.2893 d1.loss_cls: 0.3616 d1.loss_bbox: 0.1512 d1.loss_iou: 0.2810 d2.loss_cls: 0.3550 d2.loss_bbox: 0.1494 d2.loss_iou: 0.2757 d3.loss_cls: 0.3524 d3.loss_bbox: 0.1495 d3.loss_iou: 0.2744 d4.loss_cls: 0.3487 d4.loss_bbox: 0.1499 d4.loss_iou: 0.2771 enc_loss_cls: 0.3993 enc_loss_bbox: 0.1722 enc_loss_iou: 0.3177 dn_loss_cls: 0.1102 dn_loss_bbox: 0.1636 dn_loss_iou: 0.2278 d0.dn_loss_cls: 0.1996 d0.dn_loss_bbox: 0.3165 d0.dn_loss_iou: 0.3888 d1.dn_loss_cls: 0.1426 d1.dn_loss_bbox: 0.1931 d1.dn_loss_iou: 0.2638 d2.dn_loss_cls: 0.1259 d2.dn_loss_bbox: 0.1705 d2.dn_loss_iou: 0.2367 d3.dn_loss_cls: 0.1149 d3.dn_loss_bbox: 0.1636 d3.dn_loss_iou: 0.2285 d4.dn_loss_cls: 0.1115 d4.dn_loss_bbox: 0.1637 d4.dn_loss_iou: 0.2277 d1.loss_lmm_region: 0.2501 loss_lmm_image: 1.0162 2024/11/02 13:30:54 - mmengine - INFO - Iter(train) [ 5300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:13:38 time: 0.9729 data_time: 0.0166 memory: 20978 grad_norm: 22.5282 loss: 10.2803 loss_cls: 0.3524 loss_bbox: 0.1366 loss_iou: 0.2981 d0.loss_cls: 0.3865 d0.loss_bbox: 0.1504 d0.loss_iou: 0.3198 d1.loss_cls: 0.3757 d1.loss_bbox: 0.1359 d1.loss_iou: 0.3007 d2.loss_cls: 0.3650 d2.loss_bbox: 0.1324 d2.loss_iou: 0.2954 d3.loss_cls: 0.3582 d3.loss_bbox: 0.1367 d3.loss_iou: 0.2981 d4.loss_cls: 0.3545 d4.loss_bbox: 0.1365 d4.loss_iou: 0.2968 enc_loss_cls: 0.3985 enc_loss_bbox: 0.1684 enc_loss_iou: 0.3404 dn_loss_cls: 0.0967 dn_loss_bbox: 0.1452 dn_loss_iou: 0.2267 d0.dn_loss_cls: 0.1813 d0.dn_loss_bbox: 0.2917 d0.dn_loss_iou: 0.3764 d1.dn_loss_cls: 0.1289 d1.dn_loss_bbox: 0.1740 d1.dn_loss_iou: 0.2615 d2.dn_loss_cls: 0.1138 d2.dn_loss_bbox: 0.1523 d2.dn_loss_iou: 0.2376 d3.dn_loss_cls: 0.1031 d3.dn_loss_bbox: 0.1473 d3.dn_loss_iou: 0.2291 d4.dn_loss_cls: 0.0981 d4.dn_loss_bbox: 0.1453 d4.dn_loss_iou: 0.2266 d1.loss_lmm_region: 0.2419 loss_lmm_image: 0.9656 2024/11/02 13:32:31 - mmengine - INFO - Iter(train) [ 5400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:12:02 time: 0.9703 data_time: 0.0165 memory: 20714 grad_norm: 25.4115 loss: 11.6423 loss_cls: 0.3899 loss_bbox: 0.1776 loss_iou: 0.3115 d0.loss_cls: 0.4237 d0.loss_bbox: 0.1954 d0.loss_iou: 0.3237 d1.loss_cls: 0.4004 d1.loss_bbox: 0.1852 d1.loss_iou: 0.3162 d2.loss_cls: 0.3949 d2.loss_bbox: 0.1787 d2.loss_iou: 0.3109 d3.loss_cls: 0.3990 d3.loss_bbox: 0.1766 d3.loss_iou: 0.3105 d4.loss_cls: 0.3952 d4.loss_bbox: 0.1763 d4.loss_iou: 0.3103 enc_loss_cls: 0.4397 enc_loss_bbox: 0.2019 enc_loss_iou: 0.3425 dn_loss_cls: 0.1141 dn_loss_bbox: 0.2004 dn_loss_iou: 0.2564 d0.dn_loss_cls: 0.2024 d0.dn_loss_bbox: 0.3479 d0.dn_loss_iou: 0.4155 d1.dn_loss_cls: 0.1456 d1.dn_loss_bbox: 0.2355 d1.dn_loss_iou: 0.2969 d2.dn_loss_cls: 0.1276 d2.dn_loss_bbox: 0.2087 d2.dn_loss_iou: 0.2669 d3.dn_loss_cls: 0.1196 d3.dn_loss_bbox: 0.2005 d3.dn_loss_iou: 0.2574 d4.dn_loss_cls: 0.1158 d4.dn_loss_bbox: 0.2007 d4.dn_loss_iou: 0.2564 d1.loss_lmm_region: 0.2659 loss_lmm_image: 1.0479 2024/11/02 13:34:08 - mmengine - INFO - Iter(train) [ 5500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:10:09 time: 0.9803 data_time: 0.0164 memory: 21055 grad_norm: 20.8674 loss: 12.0553 loss_cls: 0.3921 loss_bbox: 0.1872 loss_iou: 0.3256 d0.loss_cls: 0.4364 d0.loss_bbox: 0.2098 d0.loss_iou: 0.3503 d1.loss_cls: 0.4154 d1.loss_bbox: 0.1980 d1.loss_iou: 0.3349 d2.loss_cls: 0.4048 d2.loss_bbox: 0.1908 d2.loss_iou: 0.3280 d3.loss_cls: 0.3980 d3.loss_bbox: 0.1887 d3.loss_iou: 0.3270 d4.loss_cls: 0.3943 d4.loss_bbox: 0.1884 d4.loss_iou: 0.3263 enc_loss_cls: 0.4586 enc_loss_bbox: 0.2249 enc_loss_iou: 0.3746 dn_loss_cls: 0.1430 dn_loss_bbox: 0.1940 dn_loss_iou: 0.2429 d0.dn_loss_cls: 0.2283 d0.dn_loss_bbox: 0.3664 d0.dn_loss_iou: 0.4031 d1.dn_loss_cls: 0.1819 d1.dn_loss_bbox: 0.2335 d1.dn_loss_iou: 0.2798 d2.dn_loss_cls: 0.1614 d2.dn_loss_bbox: 0.2030 d2.dn_loss_iou: 0.2534 d3.dn_loss_cls: 0.1483 d3.dn_loss_bbox: 0.1953 d3.dn_loss_iou: 0.2449 d4.dn_loss_cls: 0.1430 d4.dn_loss_bbox: 0.1941 d4.dn_loss_iou: 0.2430 d1.loss_lmm_region: 0.2967 loss_lmm_image: 1.0452 2024/11/02 13:35:46 - mmengine - INFO - Iter(train) [ 5600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:08:24 time: 0.9632 data_time: 0.0165 memory: 20001 grad_norm: nan loss: 10.1519 loss_cls: 0.3365 loss_bbox: 0.1280 loss_iou: 0.2284 d0.loss_cls: 0.3680 d0.loss_bbox: 0.1380 d0.loss_iou: 0.2446 d1.loss_cls: 0.3584 d1.loss_bbox: 0.1279 d1.loss_iou: 0.2309 d2.loss_cls: 0.3506 d2.loss_bbox: 0.1283 d2.loss_iou: 0.2287 d3.loss_cls: 0.3459 d3.loss_bbox: 0.1272 d3.loss_iou: 0.2263 d4.loss_cls: 0.3395 d4.loss_bbox: 0.1292 d4.loss_iou: 0.2288 enc_loss_cls: 0.3858 enc_loss_bbox: 0.1516 enc_loss_iou: 0.2632 dn_loss_cls: 0.1353 dn_loss_bbox: 0.1870 dn_loss_iou: 0.2199 d0.dn_loss_cls: 0.2257 d0.dn_loss_bbox: 0.3594 d0.dn_loss_iou: 0.3777 d1.dn_loss_cls: 0.1711 d1.dn_loss_bbox: 0.2280 d1.dn_loss_iou: 0.2568 d2.dn_loss_cls: 0.1562 d2.dn_loss_bbox: 0.1954 d2.dn_loss_iou: 0.2286 d3.dn_loss_cls: 0.1420 d3.dn_loss_bbox: 0.1876 d3.dn_loss_iou: 0.2212 d4.dn_loss_cls: 0.1376 d4.dn_loss_bbox: 0.1869 d4.dn_loss_iou: 0.2198 d1.loss_lmm_region: 0.2852 loss_lmm_image: 0.9644 2024/11/02 13:37:24 - mmengine - INFO - Iter(train) [ 5700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:06:58 time: 0.9915 data_time: 0.0166 memory: 20972 grad_norm: 21.4468 loss: 9.6692 loss_cls: 0.2845 loss_bbox: 0.1244 loss_iou: 0.2268 d0.loss_cls: 0.3077 d0.loss_bbox: 0.1383 d0.loss_iou: 0.2430 d1.loss_cls: 0.2979 d1.loss_bbox: 0.1297 d1.loss_iou: 0.2326 d2.loss_cls: 0.2958 d2.loss_bbox: 0.1256 d2.loss_iou: 0.2283 d3.loss_cls: 0.2944 d3.loss_bbox: 0.1231 d3.loss_iou: 0.2260 d4.loss_cls: 0.2869 d4.loss_bbox: 0.1250 d4.loss_iou: 0.2272 enc_loss_cls: 0.3231 enc_loss_bbox: 0.1542 enc_loss_iou: 0.2591 dn_loss_cls: 0.1232 dn_loss_bbox: 0.1880 dn_loss_iou: 0.2288 d0.dn_loss_cls: 0.2032 d0.dn_loss_bbox: 0.3845 d0.dn_loss_iou: 0.4021 d1.dn_loss_cls: 0.1516 d1.dn_loss_bbox: 0.2348 d1.dn_loss_iou: 0.2705 d2.dn_loss_cls: 0.1362 d2.dn_loss_bbox: 0.2023 d2.dn_loss_iou: 0.2407 d3.dn_loss_cls: 0.1291 d3.dn_loss_bbox: 0.1897 d3.dn_loss_iou: 0.2305 d4.dn_loss_cls: 0.1250 d4.dn_loss_bbox: 0.1880 d4.dn_loss_iou: 0.2288 d1.loss_lmm_region: 0.2003 loss_lmm_image: 0.9583 2024/11/02 13:39:01 - mmengine - INFO - Iter(train) [ 5800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:05:07 time: 0.9676 data_time: 0.0165 memory: 21699 grad_norm: 25.0714 loss: 11.6991 loss_cls: 0.3946 loss_bbox: 0.1849 loss_iou: 0.3212 d0.loss_cls: 0.4342 d0.loss_bbox: 0.1984 d0.loss_iou: 0.3426 d1.loss_cls: 0.4144 d1.loss_bbox: 0.1959 d1.loss_iou: 0.3345 d2.loss_cls: 0.4058 d2.loss_bbox: 0.1826 d2.loss_iou: 0.3225 d3.loss_cls: 0.4042 d3.loss_bbox: 0.1808 d3.loss_iou: 0.3190 d4.loss_cls: 0.4007 d4.loss_bbox: 0.1823 d4.loss_iou: 0.3185 enc_loss_cls: 0.4543 enc_loss_bbox: 0.2099 enc_loss_iou: 0.3602 dn_loss_cls: 0.1121 dn_loss_bbox: 0.1959 dn_loss_iou: 0.2463 d0.dn_loss_cls: 0.2050 d0.dn_loss_bbox: 0.3519 d0.dn_loss_iou: 0.4007 d1.dn_loss_cls: 0.1504 d1.dn_loss_bbox: 0.2336 d1.dn_loss_iou: 0.2840 d2.dn_loss_cls: 0.1328 d2.dn_loss_bbox: 0.2040 d2.dn_loss_iou: 0.2553 d3.dn_loss_cls: 0.1209 d3.dn_loss_bbox: 0.1969 d3.dn_loss_iou: 0.2478 d4.dn_loss_cls: 0.1144 d4.dn_loss_bbox: 0.1959 d4.dn_loss_iou: 0.2463 d1.loss_lmm_region: 0.2438 loss_lmm_image: 0.9996 2024/11/02 13:40:40 - mmengine - INFO - Iter(train) [ 5900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:04:07 time: 0.9902 data_time: 0.0166 memory: 21479 grad_norm: 22.3959 loss: 10.7507 loss_cls: 0.3342 loss_bbox: 0.1485 loss_iou: 0.2757 d0.loss_cls: 0.3670 d0.loss_bbox: 0.1681 d0.loss_iou: 0.3019 d1.loss_cls: 0.3545 d1.loss_bbox: 0.1560 d1.loss_iou: 0.2848 d2.loss_cls: 0.3470 d2.loss_bbox: 0.1478 d2.loss_iou: 0.2760 d3.loss_cls: 0.3366 d3.loss_bbox: 0.1494 d3.loss_iou: 0.2778 d4.loss_cls: 0.3333 d4.loss_bbox: 0.1488 d4.loss_iou: 0.2763 enc_loss_cls: 0.3805 enc_loss_bbox: 0.1786 enc_loss_iou: 0.3256 dn_loss_cls: 0.1240 dn_loss_bbox: 0.1910 dn_loss_iou: 0.2409 d0.dn_loss_cls: 0.2083 d0.dn_loss_bbox: 0.3646 d0.dn_loss_iou: 0.4043 d1.dn_loss_cls: 0.1525 d1.dn_loss_bbox: 0.2349 d1.dn_loss_iou: 0.2817 d2.dn_loss_cls: 0.1365 d2.dn_loss_bbox: 0.1997 d2.dn_loss_iou: 0.2514 d3.dn_loss_cls: 0.1264 d3.dn_loss_bbox: 0.1923 d3.dn_loss_iou: 0.2428 d4.dn_loss_cls: 0.1246 d4.dn_loss_bbox: 0.1909 d4.dn_loss_iou: 0.2410 d1.loss_lmm_region: 0.2616 loss_lmm_image: 1.0132 2024/11/02 13:42:17 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 13:42:17 - mmengine - INFO - Iter(train) [ 6000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:02:14 time: 0.9651 data_time: 0.0164 memory: 20493 grad_norm: 22.7057 loss: 10.5292 loss_cls: 0.3377 loss_bbox: 0.1433 loss_iou: 0.2455 d0.loss_cls: 0.3786 d0.loss_bbox: 0.1551 d0.loss_iou: 0.2635 d1.loss_cls: 0.3645 d1.loss_bbox: 0.1436 d1.loss_iou: 0.2509 d2.loss_cls: 0.3553 d2.loss_bbox: 0.1417 d2.loss_iou: 0.2445 d3.loss_cls: 0.3466 d3.loss_bbox: 0.1411 d3.loss_iou: 0.2426 d4.loss_cls: 0.3387 d4.loss_bbox: 0.1427 d4.loss_iou: 0.2461 enc_loss_cls: 0.3958 enc_loss_bbox: 0.1677 enc_loss_iou: 0.2864 dn_loss_cls: 0.1006 dn_loss_bbox: 0.2020 dn_loss_iou: 0.2389 d0.dn_loss_cls: 0.2056 d0.dn_loss_bbox: 0.3865 d0.dn_loss_iou: 0.3995 d1.dn_loss_cls: 0.1398 d1.dn_loss_bbox: 0.2446 d1.dn_loss_iou: 0.2784 d2.dn_loss_cls: 0.1218 d2.dn_loss_bbox: 0.2100 d2.dn_loss_iou: 0.2481 d3.dn_loss_cls: 0.1064 d3.dn_loss_bbox: 0.2031 d3.dn_loss_iou: 0.2405 d4.dn_loss_cls: 0.1015 d4.dn_loss_bbox: 0.2017 d4.dn_loss_iou: 0.2387 d1.loss_lmm_region: 0.2689 loss_lmm_image: 1.0608 2024/11/02 13:43:55 - mmengine - INFO - Iter(train) [ 6100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:00:49 time: 0.9719 data_time: 0.0166 memory: 21534 grad_norm: 22.7097 loss: 10.4295 loss_cls: 0.3440 loss_bbox: 0.1497 loss_iou: 0.2645 d0.loss_cls: 0.3758 d0.loss_bbox: 0.1643 d0.loss_iou: 0.2812 d1.loss_cls: 0.3628 d1.loss_bbox: 0.1469 d1.loss_iou: 0.2681 d2.loss_cls: 0.3549 d2.loss_bbox: 0.1443 d2.loss_iou: 0.2621 d3.loss_cls: 0.3486 d3.loss_bbox: 0.1502 d3.loss_iou: 0.2627 d4.loss_cls: 0.3464 d4.loss_bbox: 0.1493 d4.loss_iou: 0.2654 enc_loss_cls: 0.3881 enc_loss_bbox: 0.1760 enc_loss_iou: 0.3053 dn_loss_cls: 0.1154 dn_loss_bbox: 0.1688 dn_loss_iou: 0.2268 d0.dn_loss_cls: 0.2110 d0.dn_loss_bbox: 0.3202 d0.dn_loss_iou: 0.3862 d1.dn_loss_cls: 0.1518 d1.dn_loss_bbox: 0.2030 d1.dn_loss_iou: 0.2625 d2.dn_loss_cls: 0.1312 d2.dn_loss_bbox: 0.1801 d2.dn_loss_iou: 0.2365 d3.dn_loss_cls: 0.1214 d3.dn_loss_bbox: 0.1719 d3.dn_loss_iou: 0.2291 d4.dn_loss_cls: 0.1154 d4.dn_loss_bbox: 0.1689 d4.dn_loss_iou: 0.2269 d1.loss_lmm_region: 0.2565 loss_lmm_image: 1.0347 2024/11/02 13:45:32 - mmengine - INFO - Iter(train) [ 6200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:59:07 time: 0.9713 data_time: 0.0164 memory: 20510 grad_norm: 21.9654 loss: 10.4652 loss_cls: 0.3008 loss_bbox: 0.1499 loss_iou: 0.2745 d0.loss_cls: 0.3403 d0.loss_bbox: 0.1610 d0.loss_iou: 0.2881 d1.loss_cls: 0.3151 d1.loss_bbox: 0.1575 d1.loss_iou: 0.2828 d2.loss_cls: 0.3080 d2.loss_bbox: 0.1552 d2.loss_iou: 0.2780 d3.loss_cls: 0.3065 d3.loss_bbox: 0.1492 d3.loss_iou: 0.2738 d4.loss_cls: 0.3042 d4.loss_bbox: 0.1485 d4.loss_iou: 0.2738 enc_loss_cls: 0.3579 enc_loss_bbox: 0.1702 enc_loss_iou: 0.3028 dn_loss_cls: 0.1093 dn_loss_bbox: 0.2026 dn_loss_iou: 0.2481 d0.dn_loss_cls: 0.2036 d0.dn_loss_bbox: 0.3826 d0.dn_loss_iou: 0.4130 d1.dn_loss_cls: 0.1440 d1.dn_loss_bbox: 0.2390 d1.dn_loss_iou: 0.2845 d2.dn_loss_cls: 0.1245 d2.dn_loss_bbox: 0.2097 d2.dn_loss_iou: 0.2567 d3.dn_loss_cls: 0.1156 d3.dn_loss_bbox: 0.2029 d3.dn_loss_iou: 0.2493 d4.dn_loss_cls: 0.1112 d4.dn_loss_bbox: 0.2027 d4.dn_loss_iou: 0.2481 d1.loss_lmm_region: 0.2365 loss_lmm_image: 0.9833 2024/11/02 13:47:10 - mmengine - INFO - Iter(train) [ 6300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:57:20 time: 0.9683 data_time: 0.0166 memory: 20655 grad_norm: 24.8379 loss: 10.1084 loss_cls: 0.3114 loss_bbox: 0.1427 loss_iou: 0.2241 d0.loss_cls: 0.3566 d0.loss_bbox: 0.1523 d0.loss_iou: 0.2384 d1.loss_cls: 0.3329 d1.loss_bbox: 0.1515 d1.loss_iou: 0.2338 d2.loss_cls: 0.3248 d2.loss_bbox: 0.1452 d2.loss_iou: 0.2267 d3.loss_cls: 0.3195 d3.loss_bbox: 0.1462 d3.loss_iou: 0.2261 d4.loss_cls: 0.3132 d4.loss_bbox: 0.1422 d4.loss_iou: 0.2235 enc_loss_cls: 0.3758 enc_loss_bbox: 0.1656 enc_loss_iou: 0.2562 dn_loss_cls: 0.1226 dn_loss_bbox: 0.1943 dn_loss_iou: 0.2344 d0.dn_loss_cls: 0.2179 d0.dn_loss_bbox: 0.3440 d0.dn_loss_iou: 0.3796 d1.dn_loss_cls: 0.1566 d1.dn_loss_bbox: 0.2281 d1.dn_loss_iou: 0.2691 d2.dn_loss_cls: 0.1405 d2.dn_loss_bbox: 0.2038 d2.dn_loss_iou: 0.2434 d3.dn_loss_cls: 0.1281 d3.dn_loss_bbox: 0.1950 d3.dn_loss_iou: 0.2360 d4.dn_loss_cls: 0.1223 d4.dn_loss_bbox: 0.1943 d4.dn_loss_iou: 0.2344 d1.loss_lmm_region: 0.2542 loss_lmm_image: 1.0007 2024/11/02 13:48:48 - mmengine - INFO - Iter(train) [ 6400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:56:08 time: 0.9997 data_time: 0.0164 memory: 21637 grad_norm: 20.9111 loss: 11.0864 loss_cls: 0.3672 loss_bbox: 0.1604 loss_iou: 0.2941 d0.loss_cls: 0.4014 d0.loss_bbox: 0.1808 d0.loss_iou: 0.3220 d1.loss_cls: 0.3888 d1.loss_bbox: 0.1629 d1.loss_iou: 0.3019 d2.loss_cls: 0.3769 d2.loss_bbox: 0.1640 d2.loss_iou: 0.2982 d3.loss_cls: 0.3767 d3.loss_bbox: 0.1575 d3.loss_iou: 0.2920 d4.loss_cls: 0.3698 d4.loss_bbox: 0.1588 d4.loss_iou: 0.2914 enc_loss_cls: 0.4177 enc_loss_bbox: 0.1951 enc_loss_iou: 0.3430 dn_loss_cls: 0.1103 dn_loss_bbox: 0.1917 dn_loss_iou: 0.2456 d0.dn_loss_cls: 0.1960 d0.dn_loss_bbox: 0.3547 d0.dn_loss_iou: 0.4061 d1.dn_loss_cls: 0.1374 d1.dn_loss_bbox: 0.2242 d1.dn_loss_iou: 0.2815 d2.dn_loss_cls: 0.1206 d2.dn_loss_bbox: 0.2008 d2.dn_loss_iou: 0.2553 d3.dn_loss_cls: 0.1141 d3.dn_loss_bbox: 0.1929 d3.dn_loss_iou: 0.2473 d4.dn_loss_cls: 0.1111 d4.dn_loss_bbox: 0.1918 d4.dn_loss_iou: 0.2456 d1.loss_lmm_region: 0.2323 loss_lmm_image: 1.0060 2024/11/02 13:50:26 - mmengine - INFO - Iter(train) [ 6500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:54:36 time: 0.9749 data_time: 0.0163 memory: 21548 grad_norm: 25.3445 loss: 10.9805 loss_cls: 0.3918 loss_bbox: 0.1484 loss_iou: 0.3355 d0.loss_cls: 0.4281 d0.loss_bbox: 0.1572 d0.loss_iou: 0.3468 d1.loss_cls: 0.4069 d1.loss_bbox: 0.1528 d1.loss_iou: 0.3438 d2.loss_cls: 0.4001 d2.loss_bbox: 0.1500 d2.loss_iou: 0.3369 d3.loss_cls: 0.3982 d3.loss_bbox: 0.1496 d3.loss_iou: 0.3366 d4.loss_cls: 0.3918 d4.loss_bbox: 0.1517 d4.loss_iou: 0.3372 enc_loss_cls: 0.4374 enc_loss_bbox: 0.1795 enc_loss_iou: 0.3770 dn_loss_cls: 0.1018 dn_loss_bbox: 0.1485 dn_loss_iou: 0.2385 d0.dn_loss_cls: 0.1905 d0.dn_loss_bbox: 0.2996 d0.dn_loss_iou: 0.3868 d1.dn_loss_cls: 0.1326 d1.dn_loss_bbox: 0.1742 d1.dn_loss_iou: 0.2683 d2.dn_loss_cls: 0.1140 d2.dn_loss_bbox: 0.1533 d2.dn_loss_iou: 0.2457 d3.dn_loss_cls: 0.1052 d3.dn_loss_bbox: 0.1497 d3.dn_loss_iou: 0.2403 d4.dn_loss_cls: 0.1024 d4.dn_loss_bbox: 0.1485 d4.dn_loss_iou: 0.2386 d1.loss_lmm_region: 0.2308 loss_lmm_image: 0.9540 2024/11/02 13:52:04 - mmengine - INFO - Iter(train) [ 6600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:53:01 time: 0.9856 data_time: 0.0165 memory: 20440 grad_norm: 25.1541 loss: 10.0375 loss_cls: 0.3629 loss_bbox: 0.1364 loss_iou: 0.2406 d0.loss_cls: 0.3919 d0.loss_bbox: 0.1512 d0.loss_iou: 0.2618 d1.loss_cls: 0.3779 d1.loss_bbox: 0.1437 d1.loss_iou: 0.2516 d2.loss_cls: 0.3727 d2.loss_bbox: 0.1346 d2.loss_iou: 0.2393 d3.loss_cls: 0.3666 d3.loss_bbox: 0.1347 d3.loss_iou: 0.2406 d4.loss_cls: 0.3619 d4.loss_bbox: 0.1370 d4.loss_iou: 0.2418 enc_loss_cls: 0.3979 enc_loss_bbox: 0.1640 enc_loss_iou: 0.2825 dn_loss_cls: 0.1207 dn_loss_bbox: 0.1512 dn_loss_iou: 0.1958 d0.dn_loss_cls: 0.2019 d0.dn_loss_bbox: 0.3084 d0.dn_loss_iou: 0.3512 d1.dn_loss_cls: 0.1522 d1.dn_loss_bbox: 0.1853 d1.dn_loss_iou: 0.2336 d2.dn_loss_cls: 0.1316 d2.dn_loss_bbox: 0.1586 d2.dn_loss_iou: 0.2058 d3.dn_loss_cls: 0.1223 d3.dn_loss_bbox: 0.1527 d3.dn_loss_iou: 0.1978 d4.dn_loss_cls: 0.1217 d4.dn_loss_bbox: 0.1512 d4.dn_loss_iou: 0.1957 d1.loss_lmm_region: 0.2499 loss_lmm_image: 1.0583 2024/11/02 13:53:41 - mmengine - INFO - Iter(train) [ 6700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:51:21 time: 0.9710 data_time: 0.0165 memory: 21101 grad_norm: 27.5394 loss: 10.6041 loss_cls: 0.3294 loss_bbox: 0.1310 loss_iou: 0.2610 d0.loss_cls: 0.3595 d0.loss_bbox: 0.1489 d0.loss_iou: 0.2821 d1.loss_cls: 0.3463 d1.loss_bbox: 0.1385 d1.loss_iou: 0.2691 d2.loss_cls: 0.3371 d2.loss_bbox: 0.1329 d2.loss_iou: 0.2604 d3.loss_cls: 0.3341 d3.loss_bbox: 0.1319 d3.loss_iou: 0.2599 d4.loss_cls: 0.3270 d4.loss_bbox: 0.1325 d4.loss_iou: 0.2627 enc_loss_cls: 0.3718 enc_loss_bbox: 0.1697 enc_loss_iou: 0.3071 dn_loss_cls: 0.1283 dn_loss_bbox: 0.1988 dn_loss_iou: 0.2471 d0.dn_loss_cls: 0.2183 d0.dn_loss_bbox: 0.3919 d0.dn_loss_iou: 0.4325 d1.dn_loss_cls: 0.1586 d1.dn_loss_bbox: 0.2440 d1.dn_loss_iou: 0.2905 d2.dn_loss_cls: 0.1402 d2.dn_loss_bbox: 0.2103 d2.dn_loss_iou: 0.2580 d3.dn_loss_cls: 0.1317 d3.dn_loss_bbox: 0.1995 d3.dn_loss_iou: 0.2481 d4.dn_loss_cls: 0.1281 d4.dn_loss_bbox: 0.1988 d4.dn_loss_iou: 0.2470 d1.loss_lmm_region: 0.2467 loss_lmm_image: 0.9926 2024/11/02 13:55:20 - mmengine - INFO - Iter(train) [ 6800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:49:54 time: 0.9787 data_time: 0.0166 memory: 21120 grad_norm: 22.0515 loss: 10.0637 loss_cls: 0.3323 loss_bbox: 0.1366 loss_iou: 0.2518 d0.loss_cls: 0.3643 d0.loss_bbox: 0.1491 d0.loss_iou: 0.2700 d1.loss_cls: 0.3449 d1.loss_bbox: 0.1440 d1.loss_iou: 0.2597 d2.loss_cls: 0.3397 d2.loss_bbox: 0.1364 d2.loss_iou: 0.2555 d3.loss_cls: 0.3358 d3.loss_bbox: 0.1382 d3.loss_iou: 0.2545 d4.loss_cls: 0.3313 d4.loss_bbox: 0.1375 d4.loss_iou: 0.2519 enc_loss_cls: 0.3745 enc_loss_bbox: 0.1643 enc_loss_iou: 0.2929 dn_loss_cls: 0.0951 dn_loss_bbox: 0.1728 dn_loss_iou: 0.2298 d0.dn_loss_cls: 0.1816 d0.dn_loss_bbox: 0.3303 d0.dn_loss_iou: 0.3816 d1.dn_loss_cls: 0.1275 d1.dn_loss_bbox: 0.2042 d1.dn_loss_iou: 0.2631 d2.dn_loss_cls: 0.1125 d2.dn_loss_bbox: 0.1818 d2.dn_loss_iou: 0.2375 d3.dn_loss_cls: 0.1018 d3.dn_loss_bbox: 0.1740 d3.dn_loss_iou: 0.2313 d4.dn_loss_cls: 0.0970 d4.dn_loss_bbox: 0.1729 d4.dn_loss_iou: 0.2298 d1.loss_lmm_region: 0.2572 loss_lmm_image: 1.0165 2024/11/02 13:56:57 - mmengine - INFO - Iter(train) [ 6900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:48:18 time: 0.9753 data_time: 0.0163 memory: 20707 grad_norm: 28.4467 loss: 9.6615 loss_cls: 0.3084 loss_bbox: 0.1218 loss_iou: 0.2180 d0.loss_cls: 0.3505 d0.loss_bbox: 0.1339 d0.loss_iou: 0.2348 d1.loss_cls: 0.3267 d1.loss_bbox: 0.1269 d1.loss_iou: 0.2295 d2.loss_cls: 0.3148 d2.loss_bbox: 0.1212 d2.loss_iou: 0.2225 d3.loss_cls: 0.3156 d3.loss_bbox: 0.1199 d3.loss_iou: 0.2203 d4.loss_cls: 0.3127 d4.loss_bbox: 0.1192 d4.loss_iou: 0.2175 enc_loss_cls: 0.3600 enc_loss_bbox: 0.1527 enc_loss_iou: 0.2586 dn_loss_cls: 0.1344 dn_loss_bbox: 0.1625 dn_loss_iou: 0.2132 d0.dn_loss_cls: 0.2210 d0.dn_loss_bbox: 0.3102 d0.dn_loss_iou: 0.3682 d1.dn_loss_cls: 0.1667 d1.dn_loss_bbox: 0.1954 d1.dn_loss_iou: 0.2473 d2.dn_loss_cls: 0.1463 d2.dn_loss_bbox: 0.1725 d2.dn_loss_iou: 0.2223 d3.dn_loss_cls: 0.1393 d3.dn_loss_bbox: 0.1636 d3.dn_loss_iou: 0.2144 d4.dn_loss_cls: 0.1349 d4.dn_loss_bbox: 0.1625 d4.dn_loss_iou: 0.2130 d1.loss_lmm_region: 0.3136 loss_lmm_image: 0.9747 2024/11/02 13:58:34 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 13:58:34 - mmengine - INFO - Iter(train) [ 7000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:46:30 time: 0.9534 data_time: 0.0165 memory: 20704 grad_norm: 25.2139 loss: 10.3379 loss_cls: 0.3548 loss_bbox: 0.1423 loss_iou: 0.2705 d0.loss_cls: 0.3919 d0.loss_bbox: 0.1639 d0.loss_iou: 0.2919 d1.loss_cls: 0.3692 d1.loss_bbox: 0.1536 d1.loss_iou: 0.2786 d2.loss_cls: 0.3625 d2.loss_bbox: 0.1448 d2.loss_iou: 0.2733 d3.loss_cls: 0.3633 d3.loss_bbox: 0.1390 d3.loss_iou: 0.2679 d4.loss_cls: 0.3560 d4.loss_bbox: 0.1410 d4.loss_iou: 0.2693 enc_loss_cls: 0.4086 enc_loss_bbox: 0.1817 enc_loss_iou: 0.3199 dn_loss_cls: 0.1004 dn_loss_bbox: 0.1590 dn_loss_iou: 0.2195 d0.dn_loss_cls: 0.1918 d0.dn_loss_bbox: 0.3369 d0.dn_loss_iou: 0.3840 d1.dn_loss_cls: 0.1327 d1.dn_loss_bbox: 0.2006 d1.dn_loss_iou: 0.2615 d2.dn_loss_cls: 0.1135 d2.dn_loss_bbox: 0.1693 d2.dn_loss_iou: 0.2307 d3.dn_loss_cls: 0.1039 d3.dn_loss_bbox: 0.1610 d3.dn_loss_iou: 0.2209 d4.dn_loss_cls: 0.1006 d4.dn_loss_bbox: 0.1590 d4.dn_loss_iou: 0.2193 d1.loss_lmm_region: 0.2402 loss_lmm_image: 0.9891 2024/11/02 14:00:13 - mmengine - INFO - Iter(train) [ 7100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:45:07 time: 0.9899 data_time: 0.0167 memory: 21296 grad_norm: 27.9573 loss: 11.1937 loss_cls: 0.3979 loss_bbox: 0.1618 loss_iou: 0.2948 d0.loss_cls: 0.4253 d0.loss_bbox: 0.1721 d0.loss_iou: 0.3115 d1.loss_cls: 0.4155 d1.loss_bbox: 0.1660 d1.loss_iou: 0.3025 d2.loss_cls: 0.4048 d2.loss_bbox: 0.1635 d2.loss_iou: 0.2992 d3.loss_cls: 0.4032 d3.loss_bbox: 0.1610 d3.loss_iou: 0.2948 d4.loss_cls: 0.3964 d4.loss_bbox: 0.1611 d4.loss_iou: 0.2937 enc_loss_cls: 0.4481 enc_loss_bbox: 0.1899 enc_loss_iou: 0.3387 dn_loss_cls: 0.1218 dn_loss_bbox: 0.1850 dn_loss_iou: 0.2328 d0.dn_loss_cls: 0.2085 d0.dn_loss_bbox: 0.3383 d0.dn_loss_iou: 0.3792 d1.dn_loss_cls: 0.1540 d1.dn_loss_bbox: 0.2169 d1.dn_loss_iou: 0.2647 d2.dn_loss_cls: 0.1374 d2.dn_loss_bbox: 0.1949 d2.dn_loss_iou: 0.2430 d3.dn_loss_cls: 0.1268 d3.dn_loss_bbox: 0.1861 d3.dn_loss_iou: 0.2343 d4.dn_loss_cls: 0.1238 d4.dn_loss_bbox: 0.1850 d4.dn_loss_iou: 0.2327 d1.loss_lmm_region: 0.2436 loss_lmm_image: 0.9832 2024/11/02 14:01:50 - mmengine - INFO - Iter(train) [ 7200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:43:31 time: 0.9803 data_time: 0.0166 memory: 21360 grad_norm: 24.8459 loss: 11.6632 loss_cls: 0.3763 loss_bbox: 0.1784 loss_iou: 0.3401 d0.loss_cls: 0.4152 d0.loss_bbox: 0.1958 d0.loss_iou: 0.3606 d1.loss_cls: 0.3930 d1.loss_bbox: 0.1843 d1.loss_iou: 0.3474 d2.loss_cls: 0.3854 d2.loss_bbox: 0.1782 d2.loss_iou: 0.3398 d3.loss_cls: 0.3793 d3.loss_bbox: 0.1792 d3.loss_iou: 0.3412 d4.loss_cls: 0.3784 d4.loss_bbox: 0.1773 d4.loss_iou: 0.3391 enc_loss_cls: 0.4285 enc_loss_bbox: 0.2068 enc_loss_iou: 0.3826 dn_loss_cls: 0.1004 dn_loss_bbox: 0.2049 dn_loss_iou: 0.2670 d0.dn_loss_cls: 0.1981 d0.dn_loss_bbox: 0.3677 d0.dn_loss_iou: 0.4204 d1.dn_loss_cls: 0.1354 d1.dn_loss_bbox: 0.2454 d1.dn_loss_iou: 0.3047 d2.dn_loss_cls: 0.1161 d2.dn_loss_bbox: 0.2145 d2.dn_loss_iou: 0.2763 d3.dn_loss_cls: 0.1055 d3.dn_loss_bbox: 0.2059 d3.dn_loss_iou: 0.2678 d4.dn_loss_cls: 0.1024 d4.dn_loss_bbox: 0.2048 d4.dn_loss_iou: 0.2669 d1.loss_lmm_region: 0.2163 loss_lmm_image: 0.9360 2024/11/02 14:03:29 - mmengine - INFO - Iter(train) [ 7300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:42:05 time: 0.9777 data_time: 0.0165 memory: 20225 grad_norm: 23.7490 loss: 9.4846 loss_cls: 0.3003 loss_bbox: 0.1228 loss_iou: 0.2321 d0.loss_cls: 0.3263 d0.loss_bbox: 0.1387 d0.loss_iou: 0.2557 d1.loss_cls: 0.3148 d1.loss_bbox: 0.1272 d1.loss_iou: 0.2395 d2.loss_cls: 0.3037 d2.loss_bbox: 0.1249 d2.loss_iou: 0.2336 d3.loss_cls: 0.3011 d3.loss_bbox: 0.1225 d3.loss_iou: 0.2313 d4.loss_cls: 0.3003 d4.loss_bbox: 0.1224 d4.loss_iou: 0.2312 enc_loss_cls: 0.3425 enc_loss_bbox: 0.1539 enc_loss_iou: 0.2759 dn_loss_cls: 0.1110 dn_loss_bbox: 0.1682 dn_loss_iou: 0.2211 d0.dn_loss_cls: 0.1969 d0.dn_loss_bbox: 0.3115 d0.dn_loss_iou: 0.3685 d1.dn_loss_cls: 0.1425 d1.dn_loss_bbox: 0.1947 d1.dn_loss_iou: 0.2529 d2.dn_loss_cls: 0.1256 d2.dn_loss_bbox: 0.1740 d2.dn_loss_iou: 0.2300 d3.dn_loss_cls: 0.1161 d3.dn_loss_bbox: 0.1688 d3.dn_loss_iou: 0.2218 d4.dn_loss_cls: 0.1124 d4.dn_loss_bbox: 0.1683 d4.dn_loss_iou: 0.2210 d1.loss_lmm_region: 0.2398 loss_lmm_image: 0.9388 2024/11/02 14:05:05 - mmengine - INFO - Iter(train) [ 7400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:40:11 time: 0.9611 data_time: 0.0165 memory: 20825 grad_norm: 24.2791 loss: 9.8278 loss_cls: 0.3328 loss_bbox: 0.1292 loss_iou: 0.2610 d0.loss_cls: 0.3875 d0.loss_bbox: 0.1385 d0.loss_iou: 0.2727 d1.loss_cls: 0.3563 d1.loss_bbox: 0.1339 d1.loss_iou: 0.2636 d2.loss_cls: 0.3490 d2.loss_bbox: 0.1296 d2.loss_iou: 0.2614 d3.loss_cls: 0.3412 d3.loss_bbox: 0.1268 d3.loss_iou: 0.2584 d4.loss_cls: 0.3357 d4.loss_bbox: 0.1280 d4.loss_iou: 0.2579 enc_loss_cls: 0.3918 enc_loss_bbox: 0.1585 enc_loss_iou: 0.3016 dn_loss_cls: 0.1071 dn_loss_bbox: 0.1499 dn_loss_iou: 0.2098 d0.dn_loss_cls: 0.1864 d0.dn_loss_bbox: 0.2885 d0.dn_loss_iou: 0.3530 d1.dn_loss_cls: 0.1366 d1.dn_loss_bbox: 0.1823 d1.dn_loss_iou: 0.2435 d2.dn_loss_cls: 0.1211 d2.dn_loss_bbox: 0.1573 d2.dn_loss_iou: 0.2187 d3.dn_loss_cls: 0.1111 d3.dn_loss_bbox: 0.1504 d3.dn_loss_iou: 0.2108 d4.dn_loss_cls: 0.1083 d4.dn_loss_bbox: 0.1498 d4.dn_loss_iou: 0.2096 d1.loss_lmm_region: 0.2524 loss_lmm_image: 0.9657 2024/11/02 14:06:44 - mmengine - INFO - Iter(train) [ 7500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:39:00 time: 0.9864 data_time: 0.0166 memory: 21204 grad_norm: 23.1932 loss: 9.8499 loss_cls: 0.3229 loss_bbox: 0.1423 loss_iou: 0.2289 d0.loss_cls: 0.3559 d0.loss_bbox: 0.1602 d0.loss_iou: 0.2483 d1.loss_cls: 0.3396 d1.loss_bbox: 0.1460 d1.loss_iou: 0.2328 d2.loss_cls: 0.3372 d2.loss_bbox: 0.1428 d2.loss_iou: 0.2304 d3.loss_cls: 0.3281 d3.loss_bbox: 0.1426 d3.loss_iou: 0.2294 d4.loss_cls: 0.3269 d4.loss_bbox: 0.1419 d4.loss_iou: 0.2280 enc_loss_cls: 0.3729 enc_loss_bbox: 0.1775 enc_loss_iou: 0.2714 dn_loss_cls: 0.1115 dn_loss_bbox: 0.1795 dn_loss_iou: 0.2050 d0.dn_loss_cls: 0.2006 d0.dn_loss_bbox: 0.3452 d0.dn_loss_iou: 0.3529 d1.dn_loss_cls: 0.1434 d1.dn_loss_bbox: 0.2182 d1.dn_loss_iou: 0.2411 d2.dn_loss_cls: 0.1275 d2.dn_loss_bbox: 0.1885 d2.dn_loss_iou: 0.2145 d3.dn_loss_cls: 0.1168 d3.dn_loss_bbox: 0.1805 d3.dn_loss_iou: 0.2065 d4.dn_loss_cls: 0.1129 d4.dn_loss_bbox: 0.1795 d4.dn_loss_iou: 0.2050 d1.loss_lmm_region: 0.2127 loss_lmm_image: 1.0022 2024/11/02 14:08:22 - mmengine - INFO - Iter(train) [ 7600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:37:22 time: 0.9833 data_time: 0.0168 memory: 21488 grad_norm: 23.1782 loss: 10.1770 loss_cls: 0.2842 loss_bbox: 0.1346 loss_iou: 0.2397 d0.loss_cls: 0.3111 d0.loss_bbox: 0.1496 d0.loss_iou: 0.2594 d1.loss_cls: 0.2974 d1.loss_bbox: 0.1403 d1.loss_iou: 0.2516 d2.loss_cls: 0.2923 d2.loss_bbox: 0.1387 d2.loss_iou: 0.2452 d3.loss_cls: 0.2893 d3.loss_bbox: 0.1352 d3.loss_iou: 0.2400 d4.loss_cls: 0.2855 d4.loss_bbox: 0.1344 d4.loss_iou: 0.2394 enc_loss_cls: 0.3301 enc_loss_bbox: 0.1594 enc_loss_iou: 0.2773 dn_loss_cls: 0.1211 dn_loss_bbox: 0.2082 dn_loss_iou: 0.2550 d0.dn_loss_cls: 0.2090 d0.dn_loss_bbox: 0.3968 d0.dn_loss_iou: 0.4327 d1.dn_loss_cls: 0.1517 d1.dn_loss_bbox: 0.2524 d1.dn_loss_iou: 0.2977 d2.dn_loss_cls: 0.1344 d2.dn_loss_bbox: 0.2203 d2.dn_loss_iou: 0.2668 d3.dn_loss_cls: 0.1254 d3.dn_loss_bbox: 0.2101 d3.dn_loss_iou: 0.2567 d4.dn_loss_cls: 0.1217 d4.dn_loss_bbox: 0.2082 d4.dn_loss_iou: 0.2549 d1.loss_lmm_region: 0.2475 loss_lmm_image: 0.9719 2024/11/02 14:10:00 - mmengine - INFO - Iter(train) [ 7700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:35:41 time: 0.9682 data_time: 0.0165 memory: 20910 grad_norm: 22.8078 loss: 11.5571 loss_cls: 0.3644 loss_bbox: 0.1586 loss_iou: 0.3016 d0.loss_cls: 0.4031 d0.loss_bbox: 0.1778 d0.loss_iou: 0.3205 d1.loss_cls: 0.3800 d1.loss_bbox: 0.1703 d1.loss_iou: 0.3101 d2.loss_cls: 0.3709 d2.loss_bbox: 0.1618 d2.loss_iou: 0.3054 d3.loss_cls: 0.3661 d3.loss_bbox: 0.1587 d3.loss_iou: 0.3057 d4.loss_cls: 0.3633 d4.loss_bbox: 0.1595 d4.loss_iou: 0.3024 enc_loss_cls: 0.4239 enc_loss_bbox: 0.1992 enc_loss_iou: 0.3460 dn_loss_cls: 0.1414 dn_loss_bbox: 0.2072 dn_loss_iou: 0.2586 d0.dn_loss_cls: 0.2363 d0.dn_loss_bbox: 0.3859 d0.dn_loss_iou: 0.4297 d1.dn_loss_cls: 0.1771 d1.dn_loss_bbox: 0.2466 d1.dn_loss_iou: 0.3006 d2.dn_loss_cls: 0.1587 d2.dn_loss_bbox: 0.2187 d2.dn_loss_iou: 0.2706 d3.dn_loss_cls: 0.1482 d3.dn_loss_bbox: 0.2090 d3.dn_loss_iou: 0.2609 d4.dn_loss_cls: 0.1428 d4.dn_loss_bbox: 0.2074 d4.dn_loss_iou: 0.2588 d1.loss_lmm_region: 0.2641 loss_lmm_image: 0.9853 2024/11/02 14:11:38 - mmengine - INFO - Iter(train) [ 7800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:34:14 time: 0.9980 data_time: 0.0165 memory: 21223 grad_norm: 23.6849 loss: 11.1174 loss_cls: 0.3551 loss_bbox: 0.1578 loss_iou: 0.2949 d0.loss_cls: 0.3919 d0.loss_bbox: 0.1771 d0.loss_iou: 0.3212 d1.loss_cls: 0.3775 d1.loss_bbox: 0.1558 d1.loss_iou: 0.2975 d2.loss_cls: 0.3679 d2.loss_bbox: 0.1516 d2.loss_iou: 0.2935 d3.loss_cls: 0.3656 d3.loss_bbox: 0.1503 d3.loss_iou: 0.2929 d4.loss_cls: 0.3595 d4.loss_bbox: 0.1509 d4.loss_iou: 0.2935 enc_loss_cls: 0.4084 enc_loss_bbox: 0.1809 enc_loss_iou: 0.3394 dn_loss_cls: 0.1264 dn_loss_bbox: 0.1840 dn_loss_iou: 0.2595 d0.dn_loss_cls: 0.2244 d0.dn_loss_bbox: 0.3576 d0.dn_loss_iou: 0.4388 d1.dn_loss_cls: 0.1607 d1.dn_loss_bbox: 0.2225 d1.dn_loss_iou: 0.3006 d2.dn_loss_cls: 0.1421 d2.dn_loss_bbox: 0.1945 d2.dn_loss_iou: 0.2719 d3.dn_loss_cls: 0.1311 d3.dn_loss_bbox: 0.1856 d3.dn_loss_iou: 0.2614 d4.dn_loss_cls: 0.1251 d4.dn_loss_bbox: 0.1840 d4.dn_loss_iou: 0.2594 d1.loss_lmm_region: 0.2447 loss_lmm_image: 0.9598 2024/11/02 14:13:15 - mmengine - INFO - Iter(train) [ 7900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:32:24 time: 0.9664 data_time: 0.0165 memory: 20467 grad_norm: 23.9897 loss: 9.7114 loss_cls: 0.3034 loss_bbox: 0.1270 loss_iou: 0.2275 d0.loss_cls: 0.3351 d0.loss_bbox: 0.1424 d0.loss_iou: 0.2432 d1.loss_cls: 0.3162 d1.loss_bbox: 0.1317 d1.loss_iou: 0.2329 d2.loss_cls: 0.3141 d2.loss_bbox: 0.1272 d2.loss_iou: 0.2280 d3.loss_cls: 0.3108 d3.loss_bbox: 0.1261 d3.loss_iou: 0.2259 d4.loss_cls: 0.3066 d4.loss_bbox: 0.1268 d4.loss_iou: 0.2262 enc_loss_cls: 0.3462 enc_loss_bbox: 0.1555 enc_loss_iou: 0.2633 dn_loss_cls: 0.1229 dn_loss_bbox: 0.1822 dn_loss_iou: 0.2174 d0.dn_loss_cls: 0.2022 d0.dn_loss_bbox: 0.3297 d0.dn_loss_iou: 0.3616 d1.dn_loss_cls: 0.1493 d1.dn_loss_bbox: 0.2154 d1.dn_loss_iou: 0.2509 d2.dn_loss_cls: 0.1336 d2.dn_loss_bbox: 0.1914 d2.dn_loss_iou: 0.2262 d3.dn_loss_cls: 0.1249 d3.dn_loss_bbox: 0.1838 d3.dn_loss_iou: 0.2190 d4.dn_loss_cls: 0.1219 d4.dn_loss_bbox: 0.1824 d4.dn_loss_iou: 0.2174 d1.loss_lmm_region: 0.2389 loss_lmm_image: 1.0240 2024/11/02 14:14:53 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 14:14:53 - mmengine - INFO - Iter(train) [ 8000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:30:58 time: 0.9808 data_time: 0.0166 memory: 21701 grad_norm: 28.4216 loss: 10.6839 loss_cls: 0.3337 loss_bbox: 0.1509 loss_iou: 0.2657 d0.loss_cls: 0.3694 d0.loss_bbox: 0.1695 d0.loss_iou: 0.2859 d1.loss_cls: 0.3549 d1.loss_bbox: 0.1535 d1.loss_iou: 0.2709 d2.loss_cls: 0.3462 d2.loss_bbox: 0.1496 d2.loss_iou: 0.2662 d3.loss_cls: 0.3372 d3.loss_bbox: 0.1510 d3.loss_iou: 0.2661 d4.loss_cls: 0.3342 d4.loss_bbox: 0.1502 d4.loss_iou: 0.2665 enc_loss_cls: 0.3888 enc_loss_bbox: 0.1828 enc_loss_iou: 0.3103 dn_loss_cls: 0.1200 dn_loss_bbox: 0.1981 dn_loss_iou: 0.2463 d0.dn_loss_cls: 0.2065 d0.dn_loss_bbox: 0.3515 d0.dn_loss_iou: 0.4002 d1.dn_loss_cls: 0.1513 d1.dn_loss_bbox: 0.2326 d1.dn_loss_iou: 0.2814 d2.dn_loss_cls: 0.1361 d2.dn_loss_bbox: 0.2056 d2.dn_loss_iou: 0.2547 d3.dn_loss_cls: 0.1236 d3.dn_loss_bbox: 0.1994 d3.dn_loss_iou: 0.2476 d4.dn_loss_cls: 0.1209 d4.dn_loss_bbox: 0.1979 d4.dn_loss_iou: 0.2461 d1.loss_lmm_region: 0.2312 loss_lmm_image: 1.0295 2024/11/02 14:16:30 - mmengine - INFO - Iter(train) [ 8100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:29:11 time: 0.9705 data_time: 0.0165 memory: 21455 grad_norm: 24.2051 loss: 9.9170 loss_cls: 0.3329 loss_bbox: 0.1229 loss_iou: 0.2332 d0.loss_cls: 0.3605 d0.loss_bbox: 0.1332 d0.loss_iou: 0.2443 d1.loss_cls: 0.3440 d1.loss_bbox: 0.1253 d1.loss_iou: 0.2364 d2.loss_cls: 0.3383 d2.loss_bbox: 0.1215 d2.loss_iou: 0.2335 d3.loss_cls: 0.3393 d3.loss_bbox: 0.1212 d3.loss_iou: 0.2318 d4.loss_cls: 0.3329 d4.loss_bbox: 0.1227 d4.loss_iou: 0.2337 enc_loss_cls: 0.3706 enc_loss_bbox: 0.1471 enc_loss_iou: 0.2629 dn_loss_cls: 0.1225 dn_loss_bbox: 0.1748 dn_loss_iou: 0.2315 d0.dn_loss_cls: 0.2057 d0.dn_loss_bbox: 0.3282 d0.dn_loss_iou: 0.3786 d1.dn_loss_cls: 0.1494 d1.dn_loss_bbox: 0.2059 d1.dn_loss_iou: 0.2633 d2.dn_loss_cls: 0.1323 d2.dn_loss_bbox: 0.1852 d2.dn_loss_iou: 0.2409 d3.dn_loss_cls: 0.1271 d3.dn_loss_bbox: 0.1766 d3.dn_loss_iou: 0.2333 d4.dn_loss_cls: 0.1228 d4.dn_loss_bbox: 0.1748 d4.dn_loss_iou: 0.2313 d1.loss_lmm_region: 0.2536 loss_lmm_image: 0.9916 2024/11/02 14:18:09 - mmengine - INFO - Iter(train) [ 8200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:27:52 time: 0.9868 data_time: 0.0162 memory: 21541 grad_norm: 24.1715 loss: 10.3205 loss_cls: 0.3219 loss_bbox: 0.1403 loss_iou: 0.2573 d0.loss_cls: 0.3527 d0.loss_bbox: 0.1519 d0.loss_iou: 0.2772 d1.loss_cls: 0.3399 d1.loss_bbox: 0.1404 d1.loss_iou: 0.2608 d2.loss_cls: 0.3327 d2.loss_bbox: 0.1389 d2.loss_iou: 0.2581 d3.loss_cls: 0.3310 d3.loss_bbox: 0.1370 d3.loss_iou: 0.2556 d4.loss_cls: 0.3248 d4.loss_bbox: 0.1386 d4.loss_iou: 0.2568 enc_loss_cls: 0.3645 enc_loss_bbox: 0.1666 enc_loss_iou: 0.3031 dn_loss_cls: 0.1077 dn_loss_bbox: 0.1864 dn_loss_iou: 0.2466 d0.dn_loss_cls: 0.1992 d0.dn_loss_bbox: 0.3503 d0.dn_loss_iou: 0.4150 d1.dn_loss_cls: 0.1418 d1.dn_loss_bbox: 0.2283 d1.dn_loss_iou: 0.2883 d2.dn_loss_cls: 0.1248 d2.dn_loss_bbox: 0.1963 d2.dn_loss_iou: 0.2582 d3.dn_loss_cls: 0.1139 d3.dn_loss_bbox: 0.1891 d3.dn_loss_iou: 0.2490 d4.dn_loss_cls: 0.1078 d4.dn_loss_bbox: 0.1863 d4.dn_loss_iou: 0.2465 d1.loss_lmm_region: 0.2494 loss_lmm_image: 0.9855 2024/11/02 14:19:46 - mmengine - INFO - Iter(train) [ 8300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:25:58 time: 0.9749 data_time: 0.0164 memory: 20998 grad_norm: 24.8003 loss: 10.1619 loss_cls: 0.3023 loss_bbox: 0.1373 loss_iou: 0.2468 d0.loss_cls: 0.3239 d0.loss_bbox: 0.1588 d0.loss_iou: 0.2659 d1.loss_cls: 0.3134 d1.loss_bbox: 0.1449 d1.loss_iou: 0.2553 d2.loss_cls: 0.3088 d2.loss_bbox: 0.1390 d2.loss_iou: 0.2489 d3.loss_cls: 0.3051 d3.loss_bbox: 0.1373 d3.loss_iou: 0.2456 d4.loss_cls: 0.3024 d4.loss_bbox: 0.1380 d4.loss_iou: 0.2482 enc_loss_cls: 0.3429 enc_loss_bbox: 0.1669 enc_loss_iou: 0.2841 dn_loss_cls: 0.1080 dn_loss_bbox: 0.2110 dn_loss_iou: 0.2424 d0.dn_loss_cls: 0.2089 d0.dn_loss_bbox: 0.3993 d0.dn_loss_iou: 0.4049 d1.dn_loss_cls: 0.1464 d1.dn_loss_bbox: 0.2499 d1.dn_loss_iou: 0.2785 d2.dn_loss_cls: 0.1283 d2.dn_loss_bbox: 0.2214 d2.dn_loss_iou: 0.2516 d3.dn_loss_cls: 0.1148 d3.dn_loss_bbox: 0.2131 d3.dn_loss_iou: 0.2442 d4.dn_loss_cls: 0.1086 d4.dn_loss_bbox: 0.2110 d4.dn_loss_iou: 0.2423 d1.loss_lmm_region: 0.2308 loss_lmm_image: 0.9307 2024/11/02 14:21:23 - mmengine - INFO - Iter(train) [ 8400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:24:15 time: 0.9654 data_time: 0.0165 memory: 20144 grad_norm: 26.0962 loss: 10.9366 loss_cls: 0.3422 loss_bbox: 0.1653 loss_iou: 0.2805 d0.loss_cls: 0.3869 d0.loss_bbox: 0.1823 d0.loss_iou: 0.3002 d1.loss_cls: 0.3717 d1.loss_bbox: 0.1690 d1.loss_iou: 0.2849 d2.loss_cls: 0.3617 d2.loss_bbox: 0.1617 d2.loss_iou: 0.2783 d3.loss_cls: 0.3520 d3.loss_bbox: 0.1609 d3.loss_iou: 0.2780 d4.loss_cls: 0.3425 d4.loss_bbox: 0.1659 d4.loss_iou: 0.2808 enc_loss_cls: 0.4077 enc_loss_bbox: 0.2006 enc_loss_iou: 0.3265 dn_loss_cls: 0.1267 dn_loss_bbox: 0.1932 dn_loss_iou: 0.2390 d0.dn_loss_cls: 0.2034 d0.dn_loss_bbox: 0.3477 d0.dn_loss_iou: 0.3850 d1.dn_loss_cls: 0.1545 d1.dn_loss_bbox: 0.2291 d1.dn_loss_iou: 0.2745 d2.dn_loss_cls: 0.1459 d2.dn_loss_bbox: 0.2047 d2.dn_loss_iou: 0.2493 d3.dn_loss_cls: 0.1302 d3.dn_loss_bbox: 0.1941 d3.dn_loss_iou: 0.2408 d4.dn_loss_cls: 0.1276 d4.dn_loss_bbox: 0.1932 d4.dn_loss_iou: 0.2389 d1.loss_lmm_region: 0.2631 loss_lmm_image: 0.9962 2024/11/02 14:23:01 - mmengine - INFO - Iter(train) [ 8500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:22:46 time: 0.9821 data_time: 0.0164 memory: 21037 grad_norm: 23.5485 loss: 10.5929 loss_cls: 0.3211 loss_bbox: 0.1565 loss_iou: 0.2762 d0.loss_cls: 0.3548 d0.loss_bbox: 0.1748 d0.loss_iou: 0.2931 d1.loss_cls: 0.3372 d1.loss_bbox: 0.1652 d1.loss_iou: 0.2777 d2.loss_cls: 0.3311 d2.loss_bbox: 0.1574 d2.loss_iou: 0.2735 d3.loss_cls: 0.3259 d3.loss_bbox: 0.1548 d3.loss_iou: 0.2728 d4.loss_cls: 0.3218 d4.loss_bbox: 0.1564 d4.loss_iou: 0.2753 enc_loss_cls: 0.3699 enc_loss_bbox: 0.1874 enc_loss_iou: 0.3121 dn_loss_cls: 0.1103 dn_loss_bbox: 0.2056 dn_loss_iou: 0.2466 d0.dn_loss_cls: 0.1930 d0.dn_loss_bbox: 0.3726 d0.dn_loss_iou: 0.4073 d1.dn_loss_cls: 0.1439 d1.dn_loss_bbox: 0.2478 d1.dn_loss_iou: 0.2862 d2.dn_loss_cls: 0.1277 d2.dn_loss_bbox: 0.2174 d2.dn_loss_iou: 0.2569 d3.dn_loss_cls: 0.1162 d3.dn_loss_bbox: 0.2068 d3.dn_loss_iou: 0.2481 d4.dn_loss_cls: 0.1115 d4.dn_loss_bbox: 0.2056 d4.dn_loss_iou: 0.2468 d1.loss_lmm_region: 0.2115 loss_lmm_image: 0.9367 2024/11/02 14:24:39 - mmengine - INFO - Iter(train) [ 8600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:21:11 time: 0.9697 data_time: 0.0165 memory: 20917 grad_norm: 21.5666 loss: 9.7037 loss_cls: 0.3401 loss_bbox: 0.1205 loss_iou: 0.2243 d0.loss_cls: 0.3770 d0.loss_bbox: 0.1335 d0.loss_iou: 0.2414 d1.loss_cls: 0.3613 d1.loss_bbox: 0.1246 d1.loss_iou: 0.2278 d2.loss_cls: 0.3571 d2.loss_bbox: 0.1186 d2.loss_iou: 0.2236 d3.loss_cls: 0.3518 d3.loss_bbox: 0.1164 d3.loss_iou: 0.2223 d4.loss_cls: 0.3430 d4.loss_bbox: 0.1199 d4.loss_iou: 0.2239 enc_loss_cls: 0.3810 enc_loss_bbox: 0.1588 enc_loss_iou: 0.2716 dn_loss_cls: 0.1240 dn_loss_bbox: 0.1542 dn_loss_iou: 0.2079 d0.dn_loss_cls: 0.2055 d0.dn_loss_bbox: 0.3081 d0.dn_loss_iou: 0.3622 d1.dn_loss_cls: 0.1571 d1.dn_loss_bbox: 0.1899 d1.dn_loss_iou: 0.2432 d2.dn_loss_cls: 0.1411 d2.dn_loss_bbox: 0.1645 d2.dn_loss_iou: 0.2179 d3.dn_loss_cls: 0.1287 d3.dn_loss_bbox: 0.1548 d3.dn_loss_iou: 0.2093 d4.dn_loss_cls: 0.1247 d4.dn_loss_bbox: 0.1542 d4.dn_loss_iou: 0.2078 d1.loss_lmm_region: 0.2113 loss_lmm_image: 0.9986 2024/11/02 14:26:17 - mmengine - INFO - Iter(train) [ 8700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:19:37 time: 0.9917 data_time: 0.0165 memory: 20216 grad_norm: 22.5665 loss: 10.9559 loss_cls: 0.3297 loss_bbox: 0.1603 loss_iou: 0.3063 d0.loss_cls: 0.3690 d0.loss_bbox: 0.1727 d0.loss_iou: 0.3229 d1.loss_cls: 0.3537 d1.loss_bbox: 0.1627 d1.loss_iou: 0.3118 d2.loss_cls: 0.3478 d2.loss_bbox: 0.1522 d2.loss_iou: 0.3008 d3.loss_cls: 0.3370 d3.loss_bbox: 0.1575 d3.loss_iou: 0.3038 d4.loss_cls: 0.3330 d4.loss_bbox: 0.1591 d4.loss_iou: 0.3053 enc_loss_cls: 0.3937 enc_loss_bbox: 0.1815 enc_loss_iou: 0.3407 dn_loss_cls: 0.1076 dn_loss_bbox: 0.1995 dn_loss_iou: 0.2546 d0.dn_loss_cls: 0.1923 d0.dn_loss_bbox: 0.3605 d0.dn_loss_iou: 0.4149 d1.dn_loss_cls: 0.1401 d1.dn_loss_bbox: 0.2410 d1.dn_loss_iou: 0.2931 d2.dn_loss_cls: 0.1225 d2.dn_loss_bbox: 0.2135 d2.dn_loss_iou: 0.2660 d3.dn_loss_cls: 0.1117 d3.dn_loss_bbox: 0.2025 d3.dn_loss_iou: 0.2568 d4.dn_loss_cls: 0.1059 d4.dn_loss_bbox: 0.1994 d4.dn_loss_iou: 0.2545 d1.loss_lmm_region: 0.2380 loss_lmm_image: 0.9801 2024/11/02 14:27:53 - mmengine - INFO - Iter(train) [ 8800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:17:36 time: 0.9558 data_time: 0.0163 memory: 20346 grad_norm: 26.0824 loss: 10.1908 loss_cls: 0.3148 loss_bbox: 0.1476 loss_iou: 0.2730 d0.loss_cls: 0.3472 d0.loss_bbox: 0.1628 d0.loss_iou: 0.2972 d1.loss_cls: 0.3351 d1.loss_bbox: 0.1498 d1.loss_iou: 0.2800 d2.loss_cls: 0.3238 d2.loss_bbox: 0.1459 d2.loss_iou: 0.2731 d3.loss_cls: 0.3202 d3.loss_bbox: 0.1470 d3.loss_iou: 0.2735 d4.loss_cls: 0.3178 d4.loss_bbox: 0.1471 d4.loss_iou: 0.2728 enc_loss_cls: 0.3613 enc_loss_bbox: 0.1756 enc_loss_iou: 0.3182 dn_loss_cls: 0.0971 dn_loss_bbox: 0.1658 dn_loss_iou: 0.2350 d0.dn_loss_cls: 0.1995 d0.dn_loss_bbox: 0.3382 d0.dn_loss_iou: 0.3996 d1.dn_loss_cls: 0.1322 d1.dn_loss_bbox: 0.2138 d1.dn_loss_iou: 0.2781 d2.dn_loss_cls: 0.1123 d2.dn_loss_bbox: 0.1775 d2.dn_loss_iou: 0.2454 d3.dn_loss_cls: 0.1020 d3.dn_loss_bbox: 0.1674 d3.dn_loss_iou: 0.2370 d4.dn_loss_cls: 0.0974 d4.dn_loss_bbox: 0.1659 d4.dn_loss_iou: 0.2350 d1.loss_lmm_region: 0.2331 loss_lmm_image: 0.9751 2024/11/02 14:29:31 - mmengine - INFO - Iter(train) [ 8900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:15:59 time: 0.9689 data_time: 0.0163 memory: 21014 grad_norm: 26.9118 loss: 10.7981 loss_cls: 0.3620 loss_bbox: 0.1766 loss_iou: 0.3019 d0.loss_cls: 0.3979 d0.loss_bbox: 0.1834 d0.loss_iou: 0.3149 d1.loss_cls: 0.3802 d1.loss_bbox: 0.1770 d1.loss_iou: 0.3051 d2.loss_cls: 0.3778 d2.loss_bbox: 0.1707 d2.loss_iou: 0.2986 d3.loss_cls: 0.3695 d3.loss_bbox: 0.1759 d3.loss_iou: 0.3011 d4.loss_cls: 0.3629 d4.loss_bbox: 0.1758 d4.loss_iou: 0.3023 enc_loss_cls: 0.4192 enc_loss_bbox: 0.1946 enc_loss_iou: 0.3328 dn_loss_cls: 0.1160 dn_loss_bbox: 0.1567 dn_loss_iou: 0.2191 d0.dn_loss_cls: 0.2049 d0.dn_loss_bbox: 0.3108 d0.dn_loss_iou: 0.3666 d1.dn_loss_cls: 0.1465 d1.dn_loss_bbox: 0.1926 d1.dn_loss_iou: 0.2537 d2.dn_loss_cls: 0.1279 d2.dn_loss_bbox: 0.1655 d2.dn_loss_iou: 0.2275 d3.dn_loss_cls: 0.1220 d3.dn_loss_bbox: 0.1574 d3.dn_loss_iou: 0.2204 d4.dn_loss_cls: 0.1169 d4.dn_loss_bbox: 0.1566 d4.dn_loss_iou: 0.2190 d1.loss_lmm_region: 0.2892 loss_lmm_image: 0.9484 2024/11/02 14:31:08 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 14:31:08 - mmengine - INFO - Iter(train) [ 9000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:14:16 time: 0.9713 data_time: 0.0164 memory: 21136 grad_norm: 21.3480 loss: 8.8216 loss_cls: 0.2766 loss_bbox: 0.1159 loss_iou: 0.2204 d0.loss_cls: 0.3066 d0.loss_bbox: 0.1287 d0.loss_iou: 0.2384 d1.loss_cls: 0.2962 d1.loss_bbox: 0.1173 d1.loss_iou: 0.2249 d2.loss_cls: 0.2870 d2.loss_bbox: 0.1165 d2.loss_iou: 0.2210 d3.loss_cls: 0.2824 d3.loss_bbox: 0.1158 d3.loss_iou: 0.2185 d4.loss_cls: 0.2792 d4.loss_bbox: 0.1141 d4.loss_iou: 0.2191 enc_loss_cls: 0.3194 enc_loss_bbox: 0.1458 enc_loss_iou: 0.2663 dn_loss_cls: 0.0956 dn_loss_bbox: 0.1423 dn_loss_iou: 0.1973 d0.dn_loss_cls: 0.1754 d0.dn_loss_bbox: 0.2730 d0.dn_loss_iou: 0.3385 d1.dn_loss_cls: 0.1250 d1.dn_loss_bbox: 0.1715 d1.dn_loss_iou: 0.2302 d2.dn_loss_cls: 0.1114 d2.dn_loss_bbox: 0.1488 d2.dn_loss_iou: 0.2054 d3.dn_loss_cls: 0.1035 d3.dn_loss_bbox: 0.1427 d3.dn_loss_iou: 0.1980 d4.dn_loss_cls: 0.0961 d4.dn_loss_bbox: 0.1423 d4.dn_loss_iou: 0.1973 d1.loss_lmm_region: 0.2112 loss_lmm_image: 1.0061 2024/11/02 14:32:47 - mmengine - INFO - Iter(train) [ 9100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:13:00 time: 0.9821 data_time: 0.0164 memory: 20838 grad_norm: 23.8497 loss: 11.3046 loss_cls: 0.3876 loss_bbox: 0.1643 loss_iou: 0.2767 d0.loss_cls: 0.4278 d0.loss_bbox: 0.1835 d0.loss_iou: 0.2965 d1.loss_cls: 0.4150 d1.loss_bbox: 0.1650 d1.loss_iou: 0.2770 d2.loss_cls: 0.4045 d2.loss_bbox: 0.1639 d2.loss_iou: 0.2774 d3.loss_cls: 0.3929 d3.loss_bbox: 0.1650 d3.loss_iou: 0.2765 d4.loss_cls: 0.3884 d4.loss_bbox: 0.1633 d4.loss_iou: 0.2762 enc_loss_cls: 0.4492 enc_loss_bbox: 0.1918 enc_loss_iou: 0.3139 dn_loss_cls: 0.1299 dn_loss_bbox: 0.1898 dn_loss_iou: 0.2405 d0.dn_loss_cls: 0.2263 d0.dn_loss_bbox: 0.3523 d0.dn_loss_iou: 0.4000 d1.dn_loss_cls: 0.1628 d1.dn_loss_bbox: 0.2318 d1.dn_loss_iou: 0.2778 d2.dn_loss_cls: 0.1473 d2.dn_loss_bbox: 0.2013 d2.dn_loss_iou: 0.2501 d3.dn_loss_cls: 0.1357 d3.dn_loss_bbox: 0.1918 d3.dn_loss_iou: 0.2424 d4.dn_loss_cls: 0.1316 d4.dn_loss_bbox: 0.1897 d4.dn_loss_iou: 0.2402 d1.loss_lmm_region: 0.3079 loss_lmm_image: 0.9989 2024/11/02 14:34:24 - mmengine - INFO - Iter(train) [ 9200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:11:21 time: 0.9786 data_time: 0.0165 memory: 21120 grad_norm: 24.3440 loss: 9.4239 loss_cls: 0.2786 loss_bbox: 0.1248 loss_iou: 0.2389 d0.loss_cls: 0.3206 d0.loss_bbox: 0.1346 d0.loss_iou: 0.2489 d1.loss_cls: 0.2980 d1.loss_bbox: 0.1249 d1.loss_iou: 0.2386 d2.loss_cls: 0.2889 d2.loss_bbox: 0.1230 d2.loss_iou: 0.2375 d3.loss_cls: 0.2838 d3.loss_bbox: 0.1238 d3.loss_iou: 0.2381 d4.loss_cls: 0.2809 d4.loss_bbox: 0.1249 d4.loss_iou: 0.2384 enc_loss_cls: 0.3312 enc_loss_bbox: 0.1483 enc_loss_iou: 0.2684 dn_loss_cls: 0.1038 dn_loss_bbox: 0.1700 dn_loss_iou: 0.2217 d0.dn_loss_cls: 0.1806 d0.dn_loss_bbox: 0.3358 d0.dn_loss_iou: 0.3825 d1.dn_loss_cls: 0.1278 d1.dn_loss_bbox: 0.2055 d1.dn_loss_iou: 0.2563 d2.dn_loss_cls: 0.1143 d2.dn_loss_bbox: 0.1785 d2.dn_loss_iou: 0.2302 d3.dn_loss_cls: 0.1105 d3.dn_loss_bbox: 0.1712 d3.dn_loss_iou: 0.2233 d4.dn_loss_cls: 0.1053 d4.dn_loss_bbox: 0.1699 d4.dn_loss_iou: 0.2218 d1.loss_lmm_region: 0.2272 loss_lmm_image: 0.9926 2024/11/02 14:36:02 - mmengine - INFO - Iter(train) [ 9300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:09:46 time: 0.9681 data_time: 0.0164 memory: 21393 grad_norm: 26.9439 loss: 9.6441 loss_cls: 0.2858 loss_bbox: 0.1260 loss_iou: 0.2189 d0.loss_cls: 0.3144 d0.loss_bbox: 0.1405 d0.loss_iou: 0.2380 d1.loss_cls: 0.3003 d1.loss_bbox: 0.1313 d1.loss_iou: 0.2245 d2.loss_cls: 0.2930 d2.loss_bbox: 0.1259 d2.loss_iou: 0.2191 d3.loss_cls: 0.2892 d3.loss_bbox: 0.1252 d3.loss_iou: 0.2184 d4.loss_cls: 0.2858 d4.loss_bbox: 0.1270 d4.loss_iou: 0.2195 enc_loss_cls: 0.3250 enc_loss_bbox: 0.1530 enc_loss_iou: 0.2559 dn_loss_cls: 0.1395 dn_loss_bbox: 0.1816 dn_loss_iou: 0.2297 d0.dn_loss_cls: 0.2286 d0.dn_loss_bbox: 0.3330 d0.dn_loss_iou: 0.3857 d1.dn_loss_cls: 0.1869 d1.dn_loss_bbox: 0.2098 d1.dn_loss_iou: 0.2621 d2.dn_loss_cls: 0.1594 d2.dn_loss_bbox: 0.1869 d2.dn_loss_iou: 0.2372 d3.dn_loss_cls: 0.1439 d3.dn_loss_bbox: 0.1821 d3.dn_loss_iou: 0.2307 d4.dn_loss_cls: 0.1422 d4.dn_loss_bbox: 0.1818 d4.dn_loss_iou: 0.2297 d1.loss_lmm_region: 0.2280 loss_lmm_image: 0.9486 2024/11/02 14:37:41 - mmengine - INFO - Iter(train) [ 9400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:08:20 time: 1.0067 data_time: 0.0164 memory: 21344 grad_norm: 27.1552 loss: 10.0727 loss_cls: 0.3299 loss_bbox: 0.1332 loss_iou: 0.2495 d0.loss_cls: 0.3699 d0.loss_bbox: 0.1478 d0.loss_iou: 0.2687 d1.loss_cls: 0.3508 d1.loss_bbox: 0.1400 d1.loss_iou: 0.2537 d2.loss_cls: 0.3396 d2.loss_bbox: 0.1361 d2.loss_iou: 0.2522 d3.loss_cls: 0.3358 d3.loss_bbox: 0.1327 d3.loss_iou: 0.2496 d4.loss_cls: 0.3306 d4.loss_bbox: 0.1335 d4.loss_iou: 0.2494 enc_loss_cls: 0.3842 enc_loss_bbox: 0.1626 enc_loss_iou: 0.2911 dn_loss_cls: 0.1020 dn_loss_bbox: 0.1740 dn_loss_iou: 0.2187 d0.dn_loss_cls: 0.1996 d0.dn_loss_bbox: 0.3501 d0.dn_loss_iou: 0.3815 d1.dn_loss_cls: 0.1365 d1.dn_loss_bbox: 0.2144 d1.dn_loss_iou: 0.2561 d2.dn_loss_cls: 0.1163 d2.dn_loss_bbox: 0.1869 d2.dn_loss_iou: 0.2288 d3.dn_loss_cls: 0.1072 d3.dn_loss_bbox: 0.1765 d3.dn_loss_iou: 0.2207 d4.dn_loss_cls: 0.1037 d4.dn_loss_bbox: 0.1743 d4.dn_loss_iou: 0.2187 d1.loss_lmm_region: 0.2358 loss_lmm_image: 1.0302 2024/11/02 14:39:18 - mmengine - INFO - Iter(train) [ 9500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:06:40 time: 0.9746 data_time: 0.0164 memory: 21347 grad_norm: 21.8476 loss: 10.7285 loss_cls: 0.3318 loss_bbox: 0.1578 loss_iou: 0.2663 d0.loss_cls: 0.3572 d0.loss_bbox: 0.1788 d0.loss_iou: 0.2872 d1.loss_cls: 0.3479 d1.loss_bbox: 0.1632 d1.loss_iou: 0.2737 d2.loss_cls: 0.3379 d2.loss_bbox: 0.1617 d2.loss_iou: 0.2698 d3.loss_cls: 0.3389 d3.loss_bbox: 0.1561 d3.loss_iou: 0.2644 d4.loss_cls: 0.3320 d4.loss_bbox: 0.1593 d4.loss_iou: 0.2671 enc_loss_cls: 0.3743 enc_loss_bbox: 0.1904 enc_loss_iou: 0.3082 dn_loss_cls: 0.1149 dn_loss_bbox: 0.1960 dn_loss_iou: 0.2468 d0.dn_loss_cls: 0.2140 d0.dn_loss_bbox: 0.3707 d0.dn_loss_iou: 0.4192 d1.dn_loss_cls: 0.1554 d1.dn_loss_bbox: 0.2336 d1.dn_loss_iou: 0.2876 d2.dn_loss_cls: 0.1366 d2.dn_loss_bbox: 0.2051 d2.dn_loss_iou: 0.2579 d3.dn_loss_cls: 0.1218 d3.dn_loss_bbox: 0.1966 d3.dn_loss_iou: 0.2481 d4.dn_loss_cls: 0.1150 d4.dn_loss_bbox: 0.1962 d4.dn_loss_iou: 0.2467 d1.loss_lmm_region: 0.2332 loss_lmm_image: 1.0093 2024/11/02 14:40:57 - mmengine - INFO - Iter(train) [ 9600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:05:26 time: 0.9967 data_time: 0.0165 memory: 21045 grad_norm: 21.6175 loss: 11.5162 loss_cls: 0.4177 loss_bbox: 0.1588 loss_iou: 0.3390 d0.loss_cls: 0.4585 d0.loss_bbox: 0.1866 d0.loss_iou: 0.3711 d1.loss_cls: 0.4319 d1.loss_bbox: 0.1732 d1.loss_iou: 0.3563 d2.loss_cls: 0.4190 d2.loss_bbox: 0.1685 d2.loss_iou: 0.3513 d3.loss_cls: 0.4195 d3.loss_bbox: 0.1599 d3.loss_iou: 0.3407 d4.loss_cls: 0.4150 d4.loss_bbox: 0.1615 d4.loss_iou: 0.3410 enc_loss_cls: 0.4686 enc_loss_bbox: 0.2086 enc_loss_iou: 0.4035 dn_loss_cls: 0.0974 dn_loss_bbox: 0.1636 dn_loss_iou: 0.2303 d0.dn_loss_cls: 0.1948 d0.dn_loss_bbox: 0.3235 d0.dn_loss_iou: 0.3940 d1.dn_loss_cls: 0.1321 d1.dn_loss_bbox: 0.1990 d1.dn_loss_iou: 0.2712 d2.dn_loss_cls: 0.1126 d2.dn_loss_bbox: 0.1734 d2.dn_loss_iou: 0.2413 d3.dn_loss_cls: 0.1035 d3.dn_loss_bbox: 0.1652 d3.dn_loss_iou: 0.2323 d4.dn_loss_cls: 0.0993 d4.dn_loss_bbox: 0.1635 d4.dn_loss_iou: 0.2303 d1.loss_lmm_region: 0.2055 loss_lmm_image: 1.0331 2024/11/02 14:42:35 - mmengine - INFO - Iter(train) [ 9700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:03:42 time: 0.9750 data_time: 0.0164 memory: 21477 grad_norm: 21.1567 loss: 10.0769 loss_cls: 0.3175 loss_bbox: 0.1541 loss_iou: 0.2898 d0.loss_cls: 0.3473 d0.loss_bbox: 0.1741 d0.loss_iou: 0.3143 d1.loss_cls: 0.3372 d1.loss_bbox: 0.1585 d1.loss_iou: 0.2977 d2.loss_cls: 0.3263 d2.loss_bbox: 0.1577 d2.loss_iou: 0.2941 d3.loss_cls: 0.3212 d3.loss_bbox: 0.1576 d3.loss_iou: 0.2923 d4.loss_cls: 0.3174 d4.loss_bbox: 0.1559 d4.loss_iou: 0.2915 enc_loss_cls: 0.3701 enc_loss_bbox: 0.1842 enc_loss_iou: 0.3316 dn_loss_cls: 0.0810 dn_loss_bbox: 0.1644 dn_loss_iou: 0.2221 d0.dn_loss_cls: 0.1654 d0.dn_loss_bbox: 0.3214 d0.dn_loss_iou: 0.3788 d1.dn_loss_cls: 0.1085 d1.dn_loss_bbox: 0.2008 d1.dn_loss_iou: 0.2568 d2.dn_loss_cls: 0.0941 d2.dn_loss_bbox: 0.1742 d2.dn_loss_iou: 0.2318 d3.dn_loss_cls: 0.0848 d3.dn_loss_bbox: 0.1651 d3.dn_loss_iou: 0.2236 d4.dn_loss_cls: 0.0810 d4.dn_loss_bbox: 0.1644 d4.dn_loss_iou: 0.2221 d1.loss_lmm_region: 0.2024 loss_lmm_image: 0.9440 2024/11/02 14:44:13 - mmengine - INFO - Iter(train) [ 9800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:02:08 time: 0.9691 data_time: 0.0164 memory: 20581 grad_norm: 20.9499 loss: 10.7849 loss_cls: 0.3373 loss_bbox: 0.1606 loss_iou: 0.2623 d0.loss_cls: 0.3738 d0.loss_bbox: 0.1702 d0.loss_iou: 0.2735 d1.loss_cls: 0.3574 d1.loss_bbox: 0.1574 d1.loss_iou: 0.2623 d2.loss_cls: 0.3474 d2.loss_bbox: 0.1613 d2.loss_iou: 0.2612 d3.loss_cls: 0.3427 d3.loss_bbox: 0.1600 d3.loss_iou: 0.2615 d4.loss_cls: 0.3391 d4.loss_bbox: 0.1604 d4.loss_iou: 0.2608 enc_loss_cls: 0.3793 enc_loss_bbox: 0.1900 enc_loss_iou: 0.2946 dn_loss_cls: 0.1289 dn_loss_bbox: 0.2076 dn_loss_iou: 0.2444 d0.dn_loss_cls: 0.2161 d0.dn_loss_bbox: 0.3864 d0.dn_loss_iou: 0.3991 d1.dn_loss_cls: 0.1596 d1.dn_loss_bbox: 0.2485 d1.dn_loss_iou: 0.2790 d2.dn_loss_cls: 0.1413 d2.dn_loss_bbox: 0.2151 d2.dn_loss_iou: 0.2517 d3.dn_loss_cls: 0.1333 d3.dn_loss_bbox: 0.2095 d3.dn_loss_iou: 0.2460 d4.dn_loss_cls: 0.1301 d4.dn_loss_bbox: 0.2075 d4.dn_loss_iou: 0.2442 d1.loss_lmm_region: 0.2497 loss_lmm_image: 0.9736 2024/11/02 14:45:50 - mmengine - INFO - Iter(train) [ 9900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:00:31 time: 0.9776 data_time: 0.0166 memory: 21931 grad_norm: 21.9228 loss: 9.8112 loss_cls: 0.3062 loss_bbox: 0.1290 loss_iou: 0.2310 d0.loss_cls: 0.3413 d0.loss_bbox: 0.1499 d0.loss_iou: 0.2545 d1.loss_cls: 0.3294 d1.loss_bbox: 0.1375 d1.loss_iou: 0.2413 d2.loss_cls: 0.3141 d2.loss_bbox: 0.1327 d2.loss_iou: 0.2354 d3.loss_cls: 0.3112 d3.loss_bbox: 0.1317 d3.loss_iou: 0.2316 d4.loss_cls: 0.3069 d4.loss_bbox: 0.1296 d4.loss_iou: 0.2309 enc_loss_cls: 0.3621 enc_loss_bbox: 0.1655 enc_loss_iou: 0.2733 dn_loss_cls: 0.0925 dn_loss_bbox: 0.1892 dn_loss_iou: 0.2270 d0.dn_loss_cls: 0.1903 d0.dn_loss_bbox: 0.3642 d0.dn_loss_iou: 0.3934 d1.dn_loss_cls: 0.1354 d1.dn_loss_bbox: 0.2341 d1.dn_loss_iou: 0.2683 d2.dn_loss_cls: 0.1099 d2.dn_loss_bbox: 0.2023 d2.dn_loss_iou: 0.2392 d3.dn_loss_cls: 0.0988 d3.dn_loss_bbox: 0.1910 d3.dn_loss_iou: 0.2289 d4.dn_loss_cls: 0.0928 d4.dn_loss_bbox: 0.1892 d4.dn_loss_iou: 0.2269 d1.loss_lmm_region: 0.2189 loss_lmm_image: 0.9740 2024/11/02 14:47:29 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 14:47:29 - mmengine - INFO - Iter(train) [ 10000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:59:01 time: 0.9776 data_time: 0.0164 memory: 20540 grad_norm: 20.7915 loss: 11.3421 loss_cls: 0.3630 loss_bbox: 0.1806 loss_iou: 0.2972 d0.loss_cls: 0.4156 d0.loss_bbox: 0.1842 d0.loss_iou: 0.3070 d1.loss_cls: 0.3892 d1.loss_bbox: 0.1849 d1.loss_iou: 0.3063 d2.loss_cls: 0.3835 d2.loss_bbox: 0.1773 d2.loss_iou: 0.2960 d3.loss_cls: 0.3720 d3.loss_bbox: 0.1793 d3.loss_iou: 0.2976 d4.loss_cls: 0.3632 d4.loss_bbox: 0.1818 d4.loss_iou: 0.2987 enc_loss_cls: 0.4281 enc_loss_bbox: 0.2046 enc_loss_iou: 0.3327 dn_loss_cls: 0.1316 dn_loss_bbox: 0.2004 dn_loss_iou: 0.2389 d0.dn_loss_cls: 0.2263 d0.dn_loss_bbox: 0.3661 d0.dn_loss_iou: 0.3963 d1.dn_loss_cls: 0.1664 d1.dn_loss_bbox: 0.2432 d1.dn_loss_iou: 0.2793 d2.dn_loss_cls: 0.1473 d2.dn_loss_bbox: 0.2153 d2.dn_loss_iou: 0.2507 d3.dn_loss_cls: 0.1371 d3.dn_loss_bbox: 0.2022 d3.dn_loss_iou: 0.2406 d4.dn_loss_cls: 0.1334 d4.dn_loss_bbox: 0.2006 d4.dn_loss_iou: 0.2391 d1.loss_lmm_region: 0.2313 loss_lmm_image: 0.9531 2024/11/02 14:49:06 - mmengine - INFO - Iter(train) [ 10100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:57:26 time: 0.9898 data_time: 0.0166 memory: 20633 grad_norm: 21.8078 loss: 10.9835 loss_cls: 0.3624 loss_bbox: 0.1516 loss_iou: 0.2938 d0.loss_cls: 0.4044 d0.loss_bbox: 0.1630 d0.loss_iou: 0.3095 d1.loss_cls: 0.3722 d1.loss_bbox: 0.1650 d1.loss_iou: 0.3020 d2.loss_cls: 0.3734 d2.loss_bbox: 0.1514 d2.loss_iou: 0.2964 d3.loss_cls: 0.3628 d3.loss_bbox: 0.1564 d3.loss_iou: 0.2975 d4.loss_cls: 0.3601 d4.loss_bbox: 0.1556 d4.loss_iou: 0.2956 enc_loss_cls: 0.4168 enc_loss_bbox: 0.1756 enc_loss_iou: 0.3267 dn_loss_cls: 0.1329 dn_loss_bbox: 0.1783 dn_loss_iou: 0.2372 d0.dn_loss_cls: 0.2246 d0.dn_loss_bbox: 0.3366 d0.dn_loss_iou: 0.3947 d1.dn_loss_cls: 0.1675 d1.dn_loss_bbox: 0.2105 d1.dn_loss_iou: 0.2699 d2.dn_loss_cls: 0.1479 d2.dn_loss_bbox: 0.1878 d2.dn_loss_iou: 0.2464 d3.dn_loss_cls: 0.1404 d3.dn_loss_bbox: 0.1784 d3.dn_loss_iou: 0.2386 d4.dn_loss_cls: 0.1353 d4.dn_loss_bbox: 0.1784 d4.dn_loss_iou: 0.2370 d1.loss_lmm_region: 0.2403 loss_lmm_image: 1.0086 2024/11/02 14:50:44 - mmengine - INFO - Iter(train) [ 10200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:55:44 time: 0.9749 data_time: 0.0164 memory: 20728 grad_norm: 23.6080 loss: 9.8906 loss_cls: 0.3142 loss_bbox: 0.1480 loss_iou: 0.2508 d0.loss_cls: 0.3524 d0.loss_bbox: 0.1551 d0.loss_iou: 0.2698 d1.loss_cls: 0.3326 d1.loss_bbox: 0.1468 d1.loss_iou: 0.2592 d2.loss_cls: 0.3300 d2.loss_bbox: 0.1411 d2.loss_iou: 0.2520 d3.loss_cls: 0.3271 d3.loss_bbox: 0.1405 d3.loss_iou: 0.2490 d4.loss_cls: 0.3170 d4.loss_bbox: 0.1447 d4.loss_iou: 0.2501 enc_loss_cls: 0.3738 enc_loss_bbox: 0.1639 enc_loss_iou: 0.2841 dn_loss_cls: 0.1061 dn_loss_bbox: 0.1692 dn_loss_iou: 0.2150 d0.dn_loss_cls: 0.1933 d0.dn_loss_bbox: 0.3291 d0.dn_loss_iou: 0.3629 d1.dn_loss_cls: 0.1351 d1.dn_loss_bbox: 0.2023 d1.dn_loss_iou: 0.2471 d2.dn_loss_cls: 0.1169 d2.dn_loss_bbox: 0.1780 d2.dn_loss_iou: 0.2240 d3.dn_loss_cls: 0.1092 d3.dn_loss_bbox: 0.1699 d3.dn_loss_iou: 0.2160 d4.dn_loss_cls: 0.1056 d4.dn_loss_bbox: 0.1693 d4.dn_loss_iou: 0.2151 d1.loss_lmm_region: 0.2397 loss_lmm_image: 0.9848 2024/11/02 14:52:23 - mmengine - INFO - Iter(train) [ 10300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:54:24 time: 1.0019 data_time: 0.0166 memory: 21105 grad_norm: 22.2341 loss: 10.6455 loss_cls: 0.3288 loss_bbox: 0.1649 loss_iou: 0.2767 d0.loss_cls: 0.3686 d0.loss_bbox: 0.1820 d0.loss_iou: 0.2920 d1.loss_cls: 0.3546 d1.loss_bbox: 0.1685 d1.loss_iou: 0.2773 d2.loss_cls: 0.3408 d2.loss_bbox: 0.1661 d2.loss_iou: 0.2780 d3.loss_cls: 0.3346 d3.loss_bbox: 0.1658 d3.loss_iou: 0.2755 d4.loss_cls: 0.3330 d4.loss_bbox: 0.1640 d4.loss_iou: 0.2760 enc_loss_cls: 0.3906 enc_loss_bbox: 0.1877 enc_loss_iou: 0.3127 dn_loss_cls: 0.1137 dn_loss_bbox: 0.1850 dn_loss_iou: 0.2357 d0.dn_loss_cls: 0.2210 d0.dn_loss_bbox: 0.3557 d0.dn_loss_iou: 0.4005 d1.dn_loss_cls: 0.1550 d1.dn_loss_bbox: 0.2215 d1.dn_loss_iou: 0.2741 d2.dn_loss_cls: 0.1336 d2.dn_loss_bbox: 0.1921 d2.dn_loss_iou: 0.2450 d3.dn_loss_cls: 0.1204 d3.dn_loss_bbox: 0.1863 d3.dn_loss_iou: 0.2369 d4.dn_loss_cls: 0.1150 d4.dn_loss_bbox: 0.1850 d4.dn_loss_iou: 0.2355 d1.loss_lmm_region: 0.2207 loss_lmm_image: 0.9743 2024/11/02 14:54:00 - mmengine - INFO - Iter(train) [ 10400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:52:44 time: 0.9766 data_time: 0.0167 memory: 20453 grad_norm: 21.6954 loss: 10.8601 loss_cls: 0.3463 loss_bbox: 0.1794 loss_iou: 0.2983 d0.loss_cls: 0.3893 d0.loss_bbox: 0.1960 d0.loss_iou: 0.3106 d1.loss_cls: 0.3671 d1.loss_bbox: 0.1870 d1.loss_iou: 0.2991 d2.loss_cls: 0.3593 d2.loss_bbox: 0.1733 d2.loss_iou: 0.2959 d3.loss_cls: 0.3553 d3.loss_bbox: 0.1812 d3.loss_iou: 0.2939 d4.loss_cls: 0.3469 d4.loss_bbox: 0.1819 d4.loss_iou: 0.2962 enc_loss_cls: 0.3965 enc_loss_bbox: 0.2120 enc_loss_iou: 0.3378 dn_loss_cls: 0.1128 dn_loss_bbox: 0.1755 dn_loss_iou: 0.2246 d0.dn_loss_cls: 0.2051 d0.dn_loss_bbox: 0.3337 d0.dn_loss_iou: 0.3753 d1.dn_loss_cls: 0.1419 d1.dn_loss_bbox: 0.2166 d1.dn_loss_iou: 0.2622 d2.dn_loss_cls: 0.1281 d2.dn_loss_bbox: 0.1886 d2.dn_loss_iou: 0.2358 d3.dn_loss_cls: 0.1174 d3.dn_loss_bbox: 0.1766 d3.dn_loss_iou: 0.2261 d4.dn_loss_cls: 0.1132 d4.dn_loss_bbox: 0.1753 d4.dn_loss_iou: 0.2245 d1.loss_lmm_region: 0.2280 loss_lmm_image: 0.9956 2024/11/02 14:55:39 - mmengine - INFO - Iter(train) [ 10500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:51:18 time: 0.9701 data_time: 0.0166 memory: 20305 grad_norm: 21.7278 loss: 10.1548 loss_cls: 0.2975 loss_bbox: 0.1486 loss_iou: 0.2551 d0.loss_cls: 0.3297 d0.loss_bbox: 0.1616 d0.loss_iou: 0.2624 d1.loss_cls: 0.3143 d1.loss_bbox: 0.1531 d1.loss_iou: 0.2593 d2.loss_cls: 0.3064 d2.loss_bbox: 0.1527 d2.loss_iou: 0.2582 d3.loss_cls: 0.3010 d3.loss_bbox: 0.1526 d3.loss_iou: 0.2571 d4.loss_cls: 0.2986 d4.loss_bbox: 0.1493 d4.loss_iou: 0.2554 enc_loss_cls: 0.3407 enc_loss_bbox: 0.1813 enc_loss_iou: 0.2855 dn_loss_cls: 0.1111 dn_loss_bbox: 0.1933 dn_loss_iou: 0.2409 d0.dn_loss_cls: 0.1974 d0.dn_loss_bbox: 0.3625 d0.dn_loss_iou: 0.4020 d1.dn_loss_cls: 0.1435 d1.dn_loss_bbox: 0.2256 d1.dn_loss_iou: 0.2734 d2.dn_loss_cls: 0.1284 d2.dn_loss_bbox: 0.2004 d2.dn_loss_iou: 0.2488 d3.dn_loss_cls: 0.1166 d3.dn_loss_bbox: 0.1949 d3.dn_loss_iou: 0.2426 d4.dn_loss_cls: 0.1111 d4.dn_loss_bbox: 0.1934 d4.dn_loss_iou: 0.2409 d1.loss_lmm_region: 0.2137 loss_lmm_image: 0.9938 2024/11/02 14:57:16 - mmengine - INFO - Iter(train) [ 10600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:49:40 time: 0.9781 data_time: 0.0166 memory: 20550 grad_norm: 22.2390 loss: 9.6748 loss_cls: 0.2902 loss_bbox: 0.1524 loss_iou: 0.2543 d0.loss_cls: 0.3190 d0.loss_bbox: 0.1650 d0.loss_iou: 0.2686 d1.loss_cls: 0.3047 d1.loss_bbox: 0.1549 d1.loss_iou: 0.2588 d2.loss_cls: 0.2968 d2.loss_bbox: 0.1543 d2.loss_iou: 0.2553 d3.loss_cls: 0.2931 d3.loss_bbox: 0.1493 d3.loss_iou: 0.2521 d4.loss_cls: 0.2876 d4.loss_bbox: 0.1533 d4.loss_iou: 0.2553 enc_loss_cls: 0.3329 enc_loss_bbox: 0.1851 enc_loss_iou: 0.2961 dn_loss_cls: 0.1011 dn_loss_bbox: 0.1710 dn_loss_iou: 0.2239 d0.dn_loss_cls: 0.1693 d0.dn_loss_bbox: 0.3153 d0.dn_loss_iou: 0.3695 d1.dn_loss_cls: 0.1237 d1.dn_loss_bbox: 0.2052 d1.dn_loss_iou: 0.2581 d2.dn_loss_cls: 0.1098 d2.dn_loss_bbox: 0.1807 d2.dn_loss_iou: 0.2339 d3.dn_loss_cls: 0.1039 d3.dn_loss_bbox: 0.1729 d3.dn_loss_iou: 0.2258 d4.dn_loss_cls: 0.1006 d4.dn_loss_bbox: 0.1713 d4.dn_loss_iou: 0.2240 d1.loss_lmm_region: 0.1780 loss_lmm_image: 0.9576 2024/11/02 14:58:54 - mmengine - INFO - Iter(train) [ 10700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:47:58 time: 0.9690 data_time: 0.0166 memory: 20882 grad_norm: 22.6554 loss: 10.9086 loss_cls: 0.3580 loss_bbox: 0.1604 loss_iou: 0.2820 d0.loss_cls: 0.4028 d0.loss_bbox: 0.1739 d0.loss_iou: 0.2941 d1.loss_cls: 0.3733 d1.loss_bbox: 0.1696 d1.loss_iou: 0.2905 d2.loss_cls: 0.3633 d2.loss_bbox: 0.1650 d2.loss_iou: 0.2842 d3.loss_cls: 0.3573 d3.loss_bbox: 0.1666 d3.loss_iou: 0.2864 d4.loss_cls: 0.3588 d4.loss_bbox: 0.1602 d4.loss_iou: 0.2825 enc_loss_cls: 0.4124 enc_loss_bbox: 0.1894 enc_loss_iou: 0.3193 dn_loss_cls: 0.1272 dn_loss_bbox: 0.1865 dn_loss_iou: 0.2352 d0.dn_loss_cls: 0.2257 d0.dn_loss_bbox: 0.3413 d0.dn_loss_iou: 0.3878 d1.dn_loss_cls: 0.1694 d1.dn_loss_bbox: 0.2238 d1.dn_loss_iou: 0.2734 d2.dn_loss_cls: 0.1511 d2.dn_loss_bbox: 0.1952 d2.dn_loss_iou: 0.2452 d3.dn_loss_cls: 0.1346 d3.dn_loss_bbox: 0.1887 d3.dn_loss_iou: 0.2368 d4.dn_loss_cls: 0.1296 d4.dn_loss_bbox: 0.1865 d4.dn_loss_iou: 0.2353 d1.loss_lmm_region: 0.2085 loss_lmm_image: 0.9770 2024/11/02 15:00:32 - mmengine - INFO - Iter(train) [ 10800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:46:31 time: 0.9965 data_time: 0.0167 memory: 20551 grad_norm: 21.3457 loss: 10.5316 loss_cls: 0.3107 loss_bbox: 0.1617 loss_iou: 0.2782 d0.loss_cls: 0.3464 d0.loss_bbox: 0.1759 d0.loss_iou: 0.2975 d1.loss_cls: 0.3320 d1.loss_bbox: 0.1689 d1.loss_iou: 0.2867 d2.loss_cls: 0.3168 d2.loss_bbox: 0.1654 d2.loss_iou: 0.2861 d3.loss_cls: 0.3137 d3.loss_bbox: 0.1645 d3.loss_iou: 0.2825 d4.loss_cls: 0.3099 d4.loss_bbox: 0.1636 d4.loss_iou: 0.2808 enc_loss_cls: 0.3629 enc_loss_bbox: 0.1898 enc_loss_iou: 0.3216 dn_loss_cls: 0.1077 dn_loss_bbox: 0.2020 dn_loss_iou: 0.2493 d0.dn_loss_cls: 0.1994 d0.dn_loss_bbox: 0.3600 d0.dn_loss_iou: 0.4086 d1.dn_loss_cls: 0.1461 d1.dn_loss_bbox: 0.2360 d1.dn_loss_iou: 0.2862 d2.dn_loss_cls: 0.1257 d2.dn_loss_bbox: 0.2071 d2.dn_loss_iou: 0.2573 d3.dn_loss_cls: 0.1146 d3.dn_loss_bbox: 0.2020 d3.dn_loss_iou: 0.2501 d4.dn_loss_cls: 0.1088 d4.dn_loss_bbox: 0.2022 d4.dn_loss_iou: 0.2491 d1.loss_lmm_region: 0.2005 loss_lmm_image: 0.9032 2024/11/02 15:02:10 - mmengine - INFO - Iter(train) [ 10900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:44:48 time: 0.9757 data_time: 0.0164 memory: 21135 grad_norm: 19.9615 loss: 10.3281 loss_cls: 0.3207 loss_bbox: 0.1426 loss_iou: 0.2981 d0.loss_cls: 0.3493 d0.loss_bbox: 0.1588 d0.loss_iou: 0.3264 d1.loss_cls: 0.3333 d1.loss_bbox: 0.1489 d1.loss_iou: 0.3063 d2.loss_cls: 0.3314 d2.loss_bbox: 0.1432 d2.loss_iou: 0.3012 d3.loss_cls: 0.3270 d3.loss_bbox: 0.1424 d3.loss_iou: 0.2990 d4.loss_cls: 0.3205 d4.loss_bbox: 0.1420 d4.loss_iou: 0.2986 enc_loss_cls: 0.3716 enc_loss_bbox: 0.1685 enc_loss_iou: 0.3453 dn_loss_cls: 0.1081 dn_loss_bbox: 0.1702 dn_loss_iou: 0.2360 d0.dn_loss_cls: 0.1820 d0.dn_loss_bbox: 0.3126 d0.dn_loss_iou: 0.3877 d1.dn_loss_cls: 0.1364 d1.dn_loss_bbox: 0.1970 d1.dn_loss_iou: 0.2673 d2.dn_loss_cls: 0.1202 d2.dn_loss_bbox: 0.1767 d2.dn_loss_iou: 0.2444 d3.dn_loss_cls: 0.1101 d3.dn_loss_bbox: 0.1715 d3.dn_loss_iou: 0.2377 d4.dn_loss_cls: 0.1079 d4.dn_loss_bbox: 0.1704 d4.dn_loss_iou: 0.2360 d1.loss_lmm_region: 0.2024 loss_lmm_image: 0.9784 2024/11/02 15:03:48 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 15:03:48 - mmengine - INFO - Iter(train) [ 11000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:43:19 time: 0.9840 data_time: 0.0165 memory: 20721 grad_norm: 22.4668 loss: 10.6165 loss_cls: 0.2950 loss_bbox: 0.1705 loss_iou: 0.2829 d0.loss_cls: 0.3253 d0.loss_bbox: 0.1852 d0.loss_iou: 0.2993 d1.loss_cls: 0.3082 d1.loss_bbox: 0.1779 d1.loss_iou: 0.2886 d2.loss_cls: 0.3033 d2.loss_bbox: 0.1724 d2.loss_iou: 0.2839 d3.loss_cls: 0.3016 d3.loss_bbox: 0.1674 d3.loss_iou: 0.2814 d4.loss_cls: 0.2967 d4.loss_bbox: 0.1700 d4.loss_iou: 0.2827 enc_loss_cls: 0.3459 enc_loss_bbox: 0.1926 enc_loss_iou: 0.3132 dn_loss_cls: 0.1075 dn_loss_bbox: 0.2035 dn_loss_iou: 0.2486 d0.dn_loss_cls: 0.2001 d0.dn_loss_bbox: 0.3915 d0.dn_loss_iou: 0.4142 d1.dn_loss_cls: 0.1421 d1.dn_loss_bbox: 0.2447 d1.dn_loss_iou: 0.2834 d2.dn_loss_cls: 0.1243 d2.dn_loss_bbox: 0.2141 d2.dn_loss_iou: 0.2571 d3.dn_loss_cls: 0.1135 d3.dn_loss_bbox: 0.2040 d3.dn_loss_iou: 0.2493 d4.dn_loss_cls: 0.1083 d4.dn_loss_bbox: 0.2034 d4.dn_loss_iou: 0.2482 d1.loss_lmm_region: 0.2372 loss_lmm_image: 0.9770 2024/11/02 15:05:26 - mmengine - INFO - Iter(train) [ 11100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:41:45 time: 0.9852 data_time: 0.0166 memory: 21156 grad_norm: 25.4644 loss: 10.3607 loss_cls: 0.3444 loss_bbox: 0.1453 loss_iou: 0.2791 d0.loss_cls: 0.3909 d0.loss_bbox: 0.1617 d0.loss_iou: 0.3068 d1.loss_cls: 0.3663 d1.loss_bbox: 0.1525 d1.loss_iou: 0.2899 d2.loss_cls: 0.3576 d2.loss_bbox: 0.1466 d2.loss_iou: 0.2815 d3.loss_cls: 0.3493 d3.loss_bbox: 0.1458 d3.loss_iou: 0.2801 d4.loss_cls: 0.3451 d4.loss_bbox: 0.1466 d4.loss_iou: 0.2791 enc_loss_cls: 0.3941 enc_loss_bbox: 0.1860 enc_loss_iou: 0.3310 dn_loss_cls: 0.1055 dn_loss_bbox: 0.1694 dn_loss_iou: 0.2220 d0.dn_loss_cls: 0.1861 d0.dn_loss_bbox: 0.3300 d0.dn_loss_iou: 0.3819 d1.dn_loss_cls: 0.1323 d1.dn_loss_bbox: 0.2077 d1.dn_loss_iou: 0.2584 d2.dn_loss_cls: 0.1196 d2.dn_loss_bbox: 0.1785 d2.dn_loss_iou: 0.2315 d3.dn_loss_cls: 0.1079 d3.dn_loss_bbox: 0.1710 d3.dn_loss_iou: 0.2232 d4.dn_loss_cls: 0.1048 d4.dn_loss_bbox: 0.1694 d4.dn_loss_iou: 0.2219 d1.loss_lmm_region: 0.2044 loss_lmm_image: 0.9555 2024/11/02 15:07:05 - mmengine - INFO - Iter(train) [ 11200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:40:22 time: 0.9860 data_time: 0.0166 memory: 20688 grad_norm: 23.6341 loss: 10.5594 loss_cls: 0.3616 loss_bbox: 0.1521 loss_iou: 0.2625 d0.loss_cls: 0.3884 d0.loss_bbox: 0.1688 d0.loss_iou: 0.2825 d1.loss_cls: 0.3714 d1.loss_bbox: 0.1617 d1.loss_iou: 0.2743 d2.loss_cls: 0.3636 d2.loss_bbox: 0.1551 d2.loss_iou: 0.2671 d3.loss_cls: 0.3647 d3.loss_bbox: 0.1528 d3.loss_iou: 0.2643 d4.loss_cls: 0.3611 d4.loss_bbox: 0.1519 d4.loss_iou: 0.2621 enc_loss_cls: 0.4104 enc_loss_bbox: 0.1863 enc_loss_iou: 0.3058 dn_loss_cls: 0.1065 dn_loss_bbox: 0.1902 dn_loss_iou: 0.2252 d0.dn_loss_cls: 0.1933 d0.dn_loss_bbox: 0.3501 d0.dn_loss_iou: 0.3784 d1.dn_loss_cls: 0.1352 d1.dn_loss_bbox: 0.2247 d1.dn_loss_iou: 0.2606 d2.dn_loss_cls: 0.1195 d2.dn_loss_bbox: 0.2007 d2.dn_loss_iou: 0.2351 d3.dn_loss_cls: 0.1096 d3.dn_loss_bbox: 0.1901 d3.dn_loss_iou: 0.2268 d4.dn_loss_cls: 0.1066 d4.dn_loss_bbox: 0.1903 d4.dn_loss_iou: 0.2253 d1.loss_lmm_region: 0.2613 loss_lmm_image: 0.9617 2024/11/02 15:08:44 - mmengine - INFO - Iter(train) [ 11300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:38:56 time: 0.9898 data_time: 0.0167 memory: 20608 grad_norm: 30.1783 loss: 10.4381 loss_cls: 0.3577 loss_bbox: 0.1354 loss_iou: 0.2745 d0.loss_cls: 0.3931 d0.loss_bbox: 0.1547 d0.loss_iou: 0.2928 d1.loss_cls: 0.3785 d1.loss_bbox: 0.1411 d1.loss_iou: 0.2773 d2.loss_cls: 0.3657 d2.loss_bbox: 0.1377 d2.loss_iou: 0.2769 d3.loss_cls: 0.3631 d3.loss_bbox: 0.1355 d3.loss_iou: 0.2744 d4.loss_cls: 0.3609 d4.loss_bbox: 0.1352 d4.loss_iou: 0.2741 enc_loss_cls: 0.4020 enc_loss_bbox: 0.1738 enc_loss_iou: 0.3231 dn_loss_cls: 0.1107 dn_loss_bbox: 0.1674 dn_loss_iou: 0.2238 d0.dn_loss_cls: 0.2050 d0.dn_loss_bbox: 0.3301 d0.dn_loss_iou: 0.3798 d1.dn_loss_cls: 0.1504 d1.dn_loss_bbox: 0.2031 d1.dn_loss_iou: 0.2591 d2.dn_loss_cls: 0.1309 d2.dn_loss_bbox: 0.1785 d2.dn_loss_iou: 0.2342 d3.dn_loss_cls: 0.1160 d3.dn_loss_bbox: 0.1693 d3.dn_loss_iou: 0.2261 d4.dn_loss_cls: 0.1106 d4.dn_loss_bbox: 0.1674 d4.dn_loss_iou: 0.2238 d1.loss_lmm_region: 0.2408 loss_lmm_image: 0.9837 2024/11/02 15:10:21 - mmengine - INFO - Iter(train) [ 11400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:37:10 time: 0.9639 data_time: 0.0166 memory: 21323 grad_norm: 24.0445 loss: 9.5125 loss_cls: 0.3120 loss_bbox: 0.1319 loss_iou: 0.2272 d0.loss_cls: 0.3416 d0.loss_bbox: 0.1490 d0.loss_iou: 0.2508 d1.loss_cls: 0.3310 d1.loss_bbox: 0.1385 d1.loss_iou: 0.2351 d2.loss_cls: 0.3199 d2.loss_bbox: 0.1339 d2.loss_iou: 0.2316 d3.loss_cls: 0.3164 d3.loss_bbox: 0.1328 d3.loss_iou: 0.2291 d4.loss_cls: 0.3138 d4.loss_bbox: 0.1340 d4.loss_iou: 0.2288 enc_loss_cls: 0.3539 enc_loss_bbox: 0.1626 enc_loss_iou: 0.2750 dn_loss_cls: 0.1136 dn_loss_bbox: 0.1566 dn_loss_iou: 0.2060 d0.dn_loss_cls: 0.2033 d0.dn_loss_bbox: 0.3094 d0.dn_loss_iou: 0.3570 d1.dn_loss_cls: 0.1439 d1.dn_loss_bbox: 0.1876 d1.dn_loss_iou: 0.2392 d2.dn_loss_cls: 0.1269 d2.dn_loss_bbox: 0.1639 d2.dn_loss_iou: 0.2153 d3.dn_loss_cls: 0.1195 d3.dn_loss_bbox: 0.1574 d3.dn_loss_iou: 0.2074 d4.dn_loss_cls: 0.1140 d4.dn_loss_bbox: 0.1566 d4.dn_loss_iou: 0.2061 d1.loss_lmm_region: 0.2275 loss_lmm_image: 0.9523 2024/11/02 15:11:59 - mmengine - INFO - Iter(train) [ 11500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:35:37 time: 0.9933 data_time: 0.0166 memory: 20602 grad_norm: 20.6717 loss: 9.7915 loss_cls: 0.2923 loss_bbox: 0.1408 loss_iou: 0.2466 d0.loss_cls: 0.3298 d0.loss_bbox: 0.1544 d0.loss_iou: 0.2654 d1.loss_cls: 0.3136 d1.loss_bbox: 0.1437 d1.loss_iou: 0.2502 d2.loss_cls: 0.3019 d2.loss_bbox: 0.1437 d2.loss_iou: 0.2483 d3.loss_cls: 0.2935 d3.loss_bbox: 0.1431 d3.loss_iou: 0.2474 d4.loss_cls: 0.2918 d4.loss_bbox: 0.1426 d4.loss_iou: 0.2480 enc_loss_cls: 0.3465 enc_loss_bbox: 0.1669 enc_loss_iou: 0.2845 dn_loss_cls: 0.1129 dn_loss_bbox: 0.1833 dn_loss_iou: 0.2201 d0.dn_loss_cls: 0.1917 d0.dn_loss_bbox: 0.3486 d0.dn_loss_iou: 0.3799 d1.dn_loss_cls: 0.1412 d1.dn_loss_bbox: 0.2256 d1.dn_loss_iou: 0.2571 d2.dn_loss_cls: 0.1259 d2.dn_loss_bbox: 0.1962 d2.dn_loss_iou: 0.2306 d3.dn_loss_cls: 0.1186 d3.dn_loss_bbox: 0.1860 d3.dn_loss_iou: 0.2221 d4.dn_loss_cls: 0.1147 d4.dn_loss_bbox: 0.1834 d4.dn_loss_iou: 0.2200 d1.loss_lmm_region: 0.1812 loss_lmm_image: 0.9574 2024/11/02 15:13:36 - mmengine - INFO - Iter(train) [ 11600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:33:56 time: 0.9712 data_time: 0.0167 memory: 20711 grad_norm: 23.3130 loss: 10.3852 loss_cls: 0.3105 loss_bbox: 0.1416 loss_iou: 0.2707 d0.loss_cls: 0.3467 d0.loss_bbox: 0.1539 d0.loss_iou: 0.2821 d1.loss_cls: 0.3308 d1.loss_bbox: 0.1447 d1.loss_iou: 0.2750 d2.loss_cls: 0.3173 d2.loss_bbox: 0.1431 d2.loss_iou: 0.2732 d3.loss_cls: 0.3144 d3.loss_bbox: 0.1422 d3.loss_iou: 0.2732 d4.loss_cls: 0.3139 d4.loss_bbox: 0.1413 d4.loss_iou: 0.2713 enc_loss_cls: 0.3523 enc_loss_bbox: 0.1693 enc_loss_iou: 0.3063 dn_loss_cls: 0.1328 dn_loss_bbox: 0.1870 dn_loss_iou: 0.2441 d0.dn_loss_cls: 0.2211 d0.dn_loss_bbox: 0.3486 d0.dn_loss_iou: 0.3974 d1.dn_loss_cls: 0.1683 d1.dn_loss_bbox: 0.2188 d1.dn_loss_iou: 0.2780 d2.dn_loss_cls: 0.1485 d2.dn_loss_bbox: 0.1953 d2.dn_loss_iou: 0.2525 d3.dn_loss_cls: 0.1389 d3.dn_loss_bbox: 0.1879 d3.dn_loss_iou: 0.2448 d4.dn_loss_cls: 0.1337 d4.dn_loss_bbox: 0.1870 d4.dn_loss_iou: 0.2442 d1.loss_lmm_region: 0.2630 loss_lmm_image: 0.9199 2024/11/02 15:15:15 - mmengine - INFO - Iter(train) [ 11700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:32:31 time: 0.9831 data_time: 0.0166 memory: 21102 grad_norm: 21.1926 loss: 10.1189 loss_cls: 0.2876 loss_bbox: 0.1480 loss_iou: 0.2807 d0.loss_cls: 0.3325 d0.loss_bbox: 0.1572 d0.loss_iou: 0.2933 d1.loss_cls: 0.3094 d1.loss_bbox: 0.1520 d1.loss_iou: 0.2847 d2.loss_cls: 0.2996 d2.loss_bbox: 0.1530 d2.loss_iou: 0.2809 d3.loss_cls: 0.2983 d3.loss_bbox: 0.1510 d3.loss_iou: 0.2794 d4.loss_cls: 0.2895 d4.loss_bbox: 0.1487 d4.loss_iou: 0.2800 enc_loss_cls: 0.3534 enc_loss_bbox: 0.1672 enc_loss_iou: 0.3102 dn_loss_cls: 0.0932 dn_loss_bbox: 0.1918 dn_loss_iou: 0.2367 d0.dn_loss_cls: 0.1854 d0.dn_loss_bbox: 0.3587 d0.dn_loss_iou: 0.3868 d1.dn_loss_cls: 0.1238 d1.dn_loss_bbox: 0.2228 d1.dn_loss_iou: 0.2685 d2.dn_loss_cls: 0.1059 d2.dn_loss_bbox: 0.1981 d2.dn_loss_iou: 0.2449 d3.dn_loss_cls: 0.0956 d3.dn_loss_bbox: 0.1921 d3.dn_loss_iou: 0.2379 d4.dn_loss_cls: 0.0930 d4.dn_loss_bbox: 0.1918 d4.dn_loss_iou: 0.2368 d1.loss_lmm_region: 0.2234 loss_lmm_image: 0.9751 2024/11/02 15:16:52 - mmengine - INFO - Iter(train) [ 11800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:30:45 time: 0.9721 data_time: 0.0166 memory: 20846 grad_norm: 22.1358 loss: 10.7389 loss_cls: 0.3294 loss_bbox: 0.1585 loss_iou: 0.3031 d0.loss_cls: 0.3706 d0.loss_bbox: 0.1678 d0.loss_iou: 0.3196 d1.loss_cls: 0.3514 d1.loss_bbox: 0.1627 d1.loss_iou: 0.3093 d2.loss_cls: 0.3422 d2.loss_bbox: 0.1608 d2.loss_iou: 0.3062 d3.loss_cls: 0.3369 d3.loss_bbox: 0.1587 d3.loss_iou: 0.3019 d4.loss_cls: 0.3304 d4.loss_bbox: 0.1579 d4.loss_iou: 0.3020 enc_loss_cls: 0.3852 enc_loss_bbox: 0.1883 enc_loss_iou: 0.3500 dn_loss_cls: 0.1077 dn_loss_bbox: 0.1792 dn_loss_iou: 0.2473 d0.dn_loss_cls: 0.1999 d0.dn_loss_bbox: 0.3380 d0.dn_loss_iou: 0.4087 d1.dn_loss_cls: 0.1382 d1.dn_loss_bbox: 0.2164 d1.dn_loss_iou: 0.2849 d2.dn_loss_cls: 0.1213 d2.dn_loss_bbox: 0.1867 d2.dn_loss_iou: 0.2562 d3.dn_loss_cls: 0.1138 d3.dn_loss_bbox: 0.1808 d3.dn_loss_iou: 0.2493 d4.dn_loss_cls: 0.1083 d4.dn_loss_bbox: 0.1792 d4.dn_loss_iou: 0.2471 d1.loss_lmm_region: 0.2199 loss_lmm_image: 0.9630 2024/11/02 15:18:31 - mmengine - INFO - Iter(train) [ 11900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:29:19 time: 0.9759 data_time: 0.0165 memory: 21232 grad_norm: 25.0558 loss: 9.6740 loss_cls: 0.3038 loss_bbox: 0.1335 loss_iou: 0.2406 d0.loss_cls: 0.3338 d0.loss_bbox: 0.1468 d0.loss_iou: 0.2558 d1.loss_cls: 0.3204 d1.loss_bbox: 0.1363 d1.loss_iou: 0.2470 d2.loss_cls: 0.3169 d2.loss_bbox: 0.1313 d2.loss_iou: 0.2404 d3.loss_cls: 0.3080 d3.loss_bbox: 0.1333 d3.loss_iou: 0.2400 d4.loss_cls: 0.3044 d4.loss_bbox: 0.1335 d4.loss_iou: 0.2401 enc_loss_cls: 0.3503 enc_loss_bbox: 0.1606 enc_loss_iou: 0.2810 dn_loss_cls: 0.1157 dn_loss_bbox: 0.1664 dn_loss_iou: 0.2197 d0.dn_loss_cls: 0.1882 d0.dn_loss_bbox: 0.3241 d0.dn_loss_iou: 0.3757 d1.dn_loss_cls: 0.1417 d1.dn_loss_bbox: 0.2030 d1.dn_loss_iou: 0.2575 d2.dn_loss_cls: 0.1294 d2.dn_loss_bbox: 0.1773 d2.dn_loss_iou: 0.2298 d3.dn_loss_cls: 0.1202 d3.dn_loss_bbox: 0.1676 d3.dn_loss_iou: 0.2210 d4.dn_loss_cls: 0.1167 d4.dn_loss_bbox: 0.1664 d4.dn_loss_iou: 0.2195 d1.loss_lmm_region: 0.2028 loss_lmm_image: 0.9734 2024/11/02 15:20:08 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 15:20:08 - mmengine - INFO - Iter(train) [ 12000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:27:36 time: 0.9757 data_time: 0.0167 memory: 20714 grad_norm: 24.5082 loss: 8.9724 loss_cls: 0.2773 loss_bbox: 0.1245 loss_iou: 0.2225 d0.loss_cls: 0.3105 d0.loss_bbox: 0.1354 d0.loss_iou: 0.2356 d1.loss_cls: 0.2909 d1.loss_bbox: 0.1291 d1.loss_iou: 0.2276 d2.loss_cls: 0.2899 d2.loss_bbox: 0.1216 d2.loss_iou: 0.2213 d3.loss_cls: 0.2833 d3.loss_bbox: 0.1223 d3.loss_iou: 0.2222 d4.loss_cls: 0.2799 d4.loss_bbox: 0.1241 d4.loss_iou: 0.2217 enc_loss_cls: 0.3223 enc_loss_bbox: 0.1505 enc_loss_iou: 0.2621 dn_loss_cls: 0.1057 dn_loss_bbox: 0.1392 dn_loss_iou: 0.2053 d0.dn_loss_cls: 0.1792 d0.dn_loss_bbox: 0.2866 d0.dn_loss_iou: 0.3565 d1.dn_loss_cls: 0.1282 d1.dn_loss_bbox: 0.1764 d1.dn_loss_iou: 0.2411 d2.dn_loss_cls: 0.1141 d2.dn_loss_bbox: 0.1499 d2.dn_loss_iou: 0.2154 d3.dn_loss_cls: 0.1095 d3.dn_loss_bbox: 0.1412 d3.dn_loss_iou: 0.2072 d4.dn_loss_cls: 0.1068 d4.dn_loss_bbox: 0.1391 d4.dn_loss_iou: 0.2053 d1.loss_lmm_region: 0.2006 loss_lmm_image: 0.9906 2024/11/02 15:21:47 - mmengine - INFO - Iter(train) [ 12100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:26:07 time: 0.9755 data_time: 0.0165 memory: 20783 grad_norm: 21.4184 loss: 10.4016 loss_cls: 0.3323 loss_bbox: 0.1447 loss_iou: 0.2727 d0.loss_cls: 0.3613 d0.loss_bbox: 0.1656 d0.loss_iou: 0.2900 d1.loss_cls: 0.3470 d1.loss_bbox: 0.1490 d1.loss_iou: 0.2746 d2.loss_cls: 0.3410 d2.loss_bbox: 0.1450 d2.loss_iou: 0.2724 d3.loss_cls: 0.3355 d3.loss_bbox: 0.1423 d3.loss_iou: 0.2718 d4.loss_cls: 0.3341 d4.loss_bbox: 0.1428 d4.loss_iou: 0.2721 enc_loss_cls: 0.3877 enc_loss_bbox: 0.1672 enc_loss_iou: 0.3034 dn_loss_cls: 0.0957 dn_loss_bbox: 0.1884 dn_loss_iou: 0.2435 d0.dn_loss_cls: 0.1975 d0.dn_loss_bbox: 0.3648 d0.dn_loss_iou: 0.4128 d1.dn_loss_cls: 0.1320 d1.dn_loss_bbox: 0.2276 d1.dn_loss_iou: 0.2844 d2.dn_loss_cls: 0.1128 d2.dn_loss_bbox: 0.1976 d2.dn_loss_iou: 0.2553 d3.dn_loss_cls: 0.1016 d3.dn_loss_bbox: 0.1890 d3.dn_loss_iou: 0.2451 d4.dn_loss_cls: 0.0972 d4.dn_loss_bbox: 0.1885 d4.dn_loss_iou: 0.2435 d1.loss_lmm_region: 0.2237 loss_lmm_image: 0.9480 2024/11/02 15:23:25 - mmengine - INFO - Iter(train) [ 12200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:24:34 time: 0.9897 data_time: 0.0166 memory: 21078 grad_norm: 23.0747 loss: 9.9946 loss_cls: 0.3263 loss_bbox: 0.1359 loss_iou: 0.2725 d0.loss_cls: 0.3644 d0.loss_bbox: 0.1496 d0.loss_iou: 0.2882 d1.loss_cls: 0.3515 d1.loss_bbox: 0.1372 d1.loss_iou: 0.2736 d2.loss_cls: 0.3401 d2.loss_bbox: 0.1346 d2.loss_iou: 0.2743 d3.loss_cls: 0.3345 d3.loss_bbox: 0.1371 d3.loss_iou: 0.2751 d4.loss_cls: 0.3271 d4.loss_bbox: 0.1372 d4.loss_iou: 0.2757 enc_loss_cls: 0.3768 enc_loss_bbox: 0.1638 enc_loss_iou: 0.3090 dn_loss_cls: 0.1036 dn_loss_bbox: 0.1543 dn_loss_iou: 0.2301 d0.dn_loss_cls: 0.1891 d0.dn_loss_bbox: 0.3045 d0.dn_loss_iou: 0.3793 d1.dn_loss_cls: 0.1334 d1.dn_loss_bbox: 0.1929 d1.dn_loss_iou: 0.2679 d2.dn_loss_cls: 0.1177 d2.dn_loss_bbox: 0.1645 d2.dn_loss_iou: 0.2391 d3.dn_loss_cls: 0.1100 d3.dn_loss_bbox: 0.1555 d3.dn_loss_iou: 0.2316 d4.dn_loss_cls: 0.1056 d4.dn_loss_bbox: 0.1542 d4.dn_loss_iou: 0.2300 d1.loss_lmm_region: 0.2402 loss_lmm_image: 0.9068 2024/11/02 15:25:02 - mmengine - INFO - Iter(train) [ 12300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:22:51 time: 0.9760 data_time: 0.0168 memory: 20287 grad_norm: 26.5044 loss: 8.6725 loss_cls: 0.2739 loss_bbox: 0.0997 loss_iou: 0.2117 d0.loss_cls: 0.3100 d0.loss_bbox: 0.1135 d0.loss_iou: 0.2323 d1.loss_cls: 0.2891 d1.loss_bbox: 0.1093 d1.loss_iou: 0.2240 d2.loss_cls: 0.2835 d2.loss_bbox: 0.1024 d2.loss_iou: 0.2154 d3.loss_cls: 0.2773 d3.loss_bbox: 0.1019 d3.loss_iou: 0.2126 d4.loss_cls: 0.2745 d4.loss_bbox: 0.1002 d4.loss_iou: 0.2124 enc_loss_cls: 0.3167 enc_loss_bbox: 0.1305 enc_loss_iou: 0.2577 dn_loss_cls: 0.1039 dn_loss_bbox: 0.1452 dn_loss_iou: 0.2012 d0.dn_loss_cls: 0.1832 d0.dn_loss_bbox: 0.2933 d0.dn_loss_iou: 0.3571 d1.dn_loss_cls: 0.1318 d1.dn_loss_bbox: 0.1763 d1.dn_loss_iou: 0.2378 d2.dn_loss_cls: 0.1165 d2.dn_loss_bbox: 0.1532 d2.dn_loss_iou: 0.2116 d3.dn_loss_cls: 0.1090 d3.dn_loss_bbox: 0.1463 d3.dn_loss_iou: 0.2024 d4.dn_loss_cls: 0.1045 d4.dn_loss_bbox: 0.1452 d4.dn_loss_iou: 0.2011 d1.loss_lmm_region: 0.1766 loss_lmm_image: 0.9275 2024/11/02 15:26:41 - mmengine - INFO - Iter(train) [ 12400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:21:28 time: 0.9829 data_time: 0.0165 memory: 20508 grad_norm: 21.5316 loss: 8.5689 loss_cls: 0.2662 loss_bbox: 0.0884 loss_iou: 0.1888 d0.loss_cls: 0.2876 d0.loss_bbox: 0.1070 d0.loss_iou: 0.2094 d1.loss_cls: 0.2730 d1.loss_bbox: 0.0945 d1.loss_iou: 0.1952 d2.loss_cls: 0.2726 d2.loss_bbox: 0.0910 d2.loss_iou: 0.1905 d3.loss_cls: 0.2650 d3.loss_bbox: 0.0906 d3.loss_iou: 0.1908 d4.loss_cls: 0.2636 d4.loss_bbox: 0.0902 d4.loss_iou: 0.1905 enc_loss_cls: 0.2953 enc_loss_bbox: 0.1226 enc_loss_iou: 0.2339 dn_loss_cls: 0.1129 dn_loss_bbox: 0.1576 dn_loss_iou: 0.2028 d0.dn_loss_cls: 0.1961 d0.dn_loss_bbox: 0.3217 d0.dn_loss_iou: 0.3603 d1.dn_loss_cls: 0.1365 d1.dn_loss_bbox: 0.1919 d1.dn_loss_iou: 0.2367 d2.dn_loss_cls: 0.1218 d2.dn_loss_bbox: 0.1691 d2.dn_loss_iou: 0.2132 d3.dn_loss_cls: 0.1155 d3.dn_loss_bbox: 0.1594 d3.dn_loss_iou: 0.2044 d4.dn_loss_cls: 0.1123 d4.dn_loss_bbox: 0.1576 d4.dn_loss_iou: 0.2027 d1.loss_lmm_region: 0.1950 loss_lmm_image: 0.9948 2024/11/02 15:28:18 - mmengine - INFO - Iter(train) [ 12500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:19:43 time: 0.9731 data_time: 0.0165 memory: 21529 grad_norm: 21.9300 loss: 10.1421 loss_cls: 0.3044 loss_bbox: 0.1420 loss_iou: 0.2748 d0.loss_cls: 0.3451 d0.loss_bbox: 0.1552 d0.loss_iou: 0.2844 d1.loss_cls: 0.3233 d1.loss_bbox: 0.1459 d1.loss_iou: 0.2741 d2.loss_cls: 0.3190 d2.loss_bbox: 0.1428 d2.loss_iou: 0.2753 d3.loss_cls: 0.3109 d3.loss_bbox: 0.1433 d3.loss_iou: 0.2743 d4.loss_cls: 0.3052 d4.loss_bbox: 0.1425 d4.loss_iou: 0.2738 enc_loss_cls: 0.3571 enc_loss_bbox: 0.1722 enc_loss_iou: 0.3068 dn_loss_cls: 0.1029 dn_loss_bbox: 0.1874 dn_loss_iou: 0.2395 d0.dn_loss_cls: 0.1864 d0.dn_loss_bbox: 0.3554 d0.dn_loss_iou: 0.3991 d1.dn_loss_cls: 0.1317 d1.dn_loss_bbox: 0.2324 d1.dn_loss_iou: 0.2768 d2.dn_loss_cls: 0.1131 d2.dn_loss_bbox: 0.2011 d2.dn_loss_iou: 0.2517 d3.dn_loss_cls: 0.1070 d3.dn_loss_bbox: 0.1884 d3.dn_loss_iou: 0.2406 d4.dn_loss_cls: 0.1030 d4.dn_loss_bbox: 0.1874 d4.dn_loss_iou: 0.2393 d1.loss_lmm_region: 0.2042 loss_lmm_image: 0.9220 2024/11/02 15:29:56 - mmengine - INFO - Iter(train) [ 12600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:18:02 time: 0.9668 data_time: 0.0167 memory: 20545 grad_norm: 21.5032 loss: 11.2781 loss_cls: 0.3598 loss_bbox: 0.1614 loss_iou: 0.2877 d0.loss_cls: 0.3857 d0.loss_bbox: 0.1765 d0.loss_iou: 0.3069 d1.loss_cls: 0.3678 d1.loss_bbox: 0.1736 d1.loss_iou: 0.2986 d2.loss_cls: 0.3618 d2.loss_bbox: 0.1689 d2.loss_iou: 0.2948 d3.loss_cls: 0.3579 d3.loss_bbox: 0.1650 d3.loss_iou: 0.2909 d4.loss_cls: 0.3578 d4.loss_bbox: 0.1610 d4.loss_iou: 0.2875 enc_loss_cls: 0.3943 enc_loss_bbox: 0.1963 enc_loss_iou: 0.3334 dn_loss_cls: 0.1166 dn_loss_bbox: 0.2248 dn_loss_iou: 0.2665 d0.dn_loss_cls: 0.2112 d0.dn_loss_bbox: 0.4012 d0.dn_loss_iou: 0.4316 d1.dn_loss_cls: 0.1467 d1.dn_loss_bbox: 0.2651 d1.dn_loss_iou: 0.3040 d2.dn_loss_cls: 0.1309 d2.dn_loss_bbox: 0.2327 d2.dn_loss_iou: 0.2758 d3.dn_loss_cls: 0.1215 d3.dn_loss_bbox: 0.2265 d3.dn_loss_iou: 0.2678 d4.dn_loss_cls: 0.1164 d4.dn_loss_bbox: 0.2247 d4.dn_loss_iou: 0.2663 d1.loss_lmm_region: 0.2510 loss_lmm_image: 0.9092 2024/11/02 15:31:34 - mmengine - INFO - Iter(train) [ 12700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:16:33 time: 0.9857 data_time: 0.0165 memory: 20401 grad_norm: 24.9205 loss: 10.4555 loss_cls: 0.3298 loss_bbox: 0.1524 loss_iou: 0.2462 d0.loss_cls: 0.3524 d0.loss_bbox: 0.1752 d0.loss_iou: 0.2703 d1.loss_cls: 0.3450 d1.loss_bbox: 0.1614 d1.loss_iou: 0.2493 d2.loss_cls: 0.3408 d2.loss_bbox: 0.1537 d2.loss_iou: 0.2408 d3.loss_cls: 0.3330 d3.loss_bbox: 0.1546 d3.loss_iou: 0.2436 d4.loss_cls: 0.3329 d4.loss_bbox: 0.1501 d4.loss_iou: 0.2428 enc_loss_cls: 0.3678 enc_loss_bbox: 0.1898 enc_loss_iou: 0.2908 dn_loss_cls: 0.1045 dn_loss_bbox: 0.2048 dn_loss_iou: 0.2407 d0.dn_loss_cls: 0.2086 d0.dn_loss_bbox: 0.4042 d0.dn_loss_iou: 0.4213 d1.dn_loss_cls: 0.1397 d1.dn_loss_bbox: 0.2493 d1.dn_loss_iou: 0.2843 d2.dn_loss_cls: 0.1176 d2.dn_loss_bbox: 0.2170 d2.dn_loss_iou: 0.2533 d3.dn_loss_cls: 0.1085 d3.dn_loss_bbox: 0.2058 d3.dn_loss_iou: 0.2427 d4.dn_loss_cls: 0.1052 d4.dn_loss_bbox: 0.2049 d4.dn_loss_iou: 0.2406 d1.loss_lmm_region: 0.2129 loss_lmm_image: 0.9668 2024/11/02 15:33:12 - mmengine - INFO - Iter(train) [ 12800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:14:58 time: 0.9704 data_time: 0.0165 memory: 21261 grad_norm: 23.6748 loss: 10.3597 loss_cls: 0.3141 loss_bbox: 0.1506 loss_iou: 0.2592 d0.loss_cls: 0.3450 d0.loss_bbox: 0.1656 d0.loss_iou: 0.2751 d1.loss_cls: 0.3299 d1.loss_bbox: 0.1536 d1.loss_iou: 0.2647 d2.loss_cls: 0.3255 d2.loss_bbox: 0.1511 d2.loss_iou: 0.2607 d3.loss_cls: 0.3229 d3.loss_bbox: 0.1469 d3.loss_iou: 0.2574 d4.loss_cls: 0.3149 d4.loss_bbox: 0.1512 d4.loss_iou: 0.2603 enc_loss_cls: 0.3592 enc_loss_bbox: 0.1798 enc_loss_iou: 0.2998 dn_loss_cls: 0.1138 dn_loss_bbox: 0.1890 dn_loss_iou: 0.2478 d0.dn_loss_cls: 0.2033 d0.dn_loss_bbox: 0.3455 d0.dn_loss_iou: 0.4083 d1.dn_loss_cls: 0.1467 d1.dn_loss_bbox: 0.2270 d1.dn_loss_iou: 0.2867 d2.dn_loss_cls: 0.1291 d2.dn_loss_bbox: 0.1992 d2.dn_loss_iou: 0.2583 d3.dn_loss_cls: 0.1218 d3.dn_loss_bbox: 0.1912 d3.dn_loss_iou: 0.2500 d4.dn_loss_cls: 0.1160 d4.dn_loss_bbox: 0.1890 d4.dn_loss_iou: 0.2479 d1.loss_lmm_region: 0.2316 loss_lmm_image: 0.9702 2024/11/02 15:34:50 - mmengine - INFO - Iter(train) [ 12900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:13:22 time: 0.9873 data_time: 0.0166 memory: 20826 grad_norm: 21.2521 loss: 10.1289 loss_cls: 0.3165 loss_bbox: 0.1504 loss_iou: 0.2708 d0.loss_cls: 0.3527 d0.loss_bbox: 0.1626 d0.loss_iou: 0.2814 d1.loss_cls: 0.3305 d1.loss_bbox: 0.1551 d1.loss_iou: 0.2773 d2.loss_cls: 0.3256 d2.loss_bbox: 0.1530 d2.loss_iou: 0.2718 d3.loss_cls: 0.3276 d3.loss_bbox: 0.1496 d3.loss_iou: 0.2682 d4.loss_cls: 0.3208 d4.loss_bbox: 0.1499 d4.loss_iou: 0.2716 enc_loss_cls: 0.3682 enc_loss_bbox: 0.1730 enc_loss_iou: 0.2957 dn_loss_cls: 0.1127 dn_loss_bbox: 0.1805 dn_loss_iou: 0.2267 d0.dn_loss_cls: 0.2029 d0.dn_loss_bbox: 0.3290 d0.dn_loss_iou: 0.3686 d1.dn_loss_cls: 0.1462 d1.dn_loss_bbox: 0.2099 d1.dn_loss_iou: 0.2586 d2.dn_loss_cls: 0.1277 d2.dn_loss_bbox: 0.1895 d2.dn_loss_iou: 0.2349 d3.dn_loss_cls: 0.1177 d3.dn_loss_bbox: 0.1820 d3.dn_loss_iou: 0.2275 d4.dn_loss_cls: 0.1122 d4.dn_loss_bbox: 0.1806 d4.dn_loss_iou: 0.2267 d1.loss_lmm_region: 0.2257 loss_lmm_image: 0.8966 2024/11/02 15:36:28 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 15:36:28 - mmengine - INFO - Iter(train) [ 13000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:11:50 time: 0.9828 data_time: 0.0165 memory: 20916 grad_norm: 22.5066 loss: 9.4916 loss_cls: 0.3059 loss_bbox: 0.1317 loss_iou: 0.2349 d0.loss_cls: 0.3307 d0.loss_bbox: 0.1448 d0.loss_iou: 0.2515 d1.loss_cls: 0.3170 d1.loss_bbox: 0.1300 d1.loss_iou: 0.2375 d2.loss_cls: 0.3116 d2.loss_bbox: 0.1314 d2.loss_iou: 0.2340 d3.loss_cls: 0.3068 d3.loss_bbox: 0.1321 d3.loss_iou: 0.2358 d4.loss_cls: 0.3084 d4.loss_bbox: 0.1310 d4.loss_iou: 0.2338 enc_loss_cls: 0.3464 enc_loss_bbox: 0.1537 enc_loss_iou: 0.2668 dn_loss_cls: 0.0982 dn_loss_bbox: 0.1623 dn_loss_iou: 0.2165 d0.dn_loss_cls: 0.1813 d0.dn_loss_bbox: 0.3097 d0.dn_loss_iou: 0.3715 d1.dn_loss_cls: 0.1300 d1.dn_loss_bbox: 0.1927 d1.dn_loss_iou: 0.2506 d2.dn_loss_cls: 0.1126 d2.dn_loss_bbox: 0.1671 d2.dn_loss_iou: 0.2242 d3.dn_loss_cls: 0.1036 d3.dn_loss_bbox: 0.1636 d3.dn_loss_iou: 0.2181 d4.dn_loss_cls: 0.0997 d4.dn_loss_bbox: 0.1623 d4.dn_loss_iou: 0.2163 d1.loss_lmm_region: 0.2395 loss_lmm_image: 0.9960 2024/11/02 15:38:07 - mmengine - INFO - Iter(train) [ 13100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:10:19 time: 0.9977 data_time: 0.0167 memory: 20895 grad_norm: 21.6657 loss: 11.5095 loss_cls: 0.3735 loss_bbox: 0.1830 loss_iou: 0.3270 d0.loss_cls: 0.4158 d0.loss_bbox: 0.1865 d0.loss_iou: 0.3464 d1.loss_cls: 0.3990 d1.loss_bbox: 0.1793 d1.loss_iou: 0.3310 d2.loss_cls: 0.3924 d2.loss_bbox: 0.1752 d2.loss_iou: 0.3266 d3.loss_cls: 0.3812 d3.loss_bbox: 0.1782 d3.loss_iou: 0.3254 d4.loss_cls: 0.3768 d4.loss_bbox: 0.1794 d4.loss_iou: 0.3267 enc_loss_cls: 0.4350 enc_loss_bbox: 0.1972 enc_loss_iou: 0.3678 dn_loss_cls: 0.1173 dn_loss_bbox: 0.1944 dn_loss_iou: 0.2564 d0.dn_loss_cls: 0.2086 d0.dn_loss_bbox: 0.3396 d0.dn_loss_iou: 0.4115 d1.dn_loss_cls: 0.1551 d1.dn_loss_bbox: 0.2240 d1.dn_loss_iou: 0.2902 d2.dn_loss_cls: 0.1338 d2.dn_loss_bbox: 0.2013 d2.dn_loss_iou: 0.2641 d3.dn_loss_cls: 0.1235 d3.dn_loss_bbox: 0.1952 d3.dn_loss_iou: 0.2576 d4.dn_loss_cls: 0.1190 d4.dn_loss_bbox: 0.1942 d4.dn_loss_iou: 0.2563 d1.loss_lmm_region: 0.2051 loss_lmm_image: 0.9591 2024/11/02 15:39:43 - mmengine - INFO - Iter(train) [ 13200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:08:28 time: 0.9649 data_time: 0.0165 memory: 20585 grad_norm: 21.7191 loss: 10.4058 loss_cls: 0.3205 loss_bbox: 0.1474 loss_iou: 0.2449 d0.loss_cls: 0.3522 d0.loss_bbox: 0.1681 d0.loss_iou: 0.2661 d1.loss_cls: 0.3331 d1.loss_bbox: 0.1587 d1.loss_iou: 0.2549 d2.loss_cls: 0.3283 d2.loss_bbox: 0.1518 d2.loss_iou: 0.2487 d3.loss_cls: 0.3244 d3.loss_bbox: 0.1487 d3.loss_iou: 0.2471 d4.loss_cls: 0.3249 d4.loss_bbox: 0.1459 d4.loss_iou: 0.2441 enc_loss_cls: 0.3647 enc_loss_bbox: 0.1799 enc_loss_iou: 0.2886 dn_loss_cls: 0.1212 dn_loss_bbox: 0.1948 dn_loss_iou: 0.2385 d0.dn_loss_cls: 0.2165 d0.dn_loss_bbox: 0.3695 d0.dn_loss_iou: 0.4100 d1.dn_loss_cls: 0.1600 d1.dn_loss_bbox: 0.2343 d1.dn_loss_iou: 0.2759 d2.dn_loss_cls: 0.1409 d2.dn_loss_bbox: 0.2076 d2.dn_loss_iou: 0.2493 d3.dn_loss_cls: 0.1280 d3.dn_loss_bbox: 0.1973 d3.dn_loss_iou: 0.2404 d4.dn_loss_cls: 0.1215 d4.dn_loss_bbox: 0.1949 d4.dn_loss_iou: 0.2384 d1.loss_lmm_region: 0.2326 loss_lmm_image: 0.9910 2024/11/02 15:41:22 - mmengine - INFO - Iter(train) [ 13300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:07:01 time: 0.9831 data_time: 0.0166 memory: 20429 grad_norm: 23.7669 loss: 10.0318 loss_cls: 0.3239 loss_bbox: 0.1560 loss_iou: 0.2729 d0.loss_cls: 0.3667 d0.loss_bbox: 0.1684 d0.loss_iou: 0.2889 d1.loss_cls: 0.3394 d1.loss_bbox: 0.1605 d1.loss_iou: 0.2797 d2.loss_cls: 0.3346 d2.loss_bbox: 0.1545 d2.loss_iou: 0.2729 d3.loss_cls: 0.3267 d3.loss_bbox: 0.1552 d3.loss_iou: 0.2725 d4.loss_cls: 0.3244 d4.loss_bbox: 0.1560 d4.loss_iou: 0.2722 enc_loss_cls: 0.3871 enc_loss_bbox: 0.1765 enc_loss_iou: 0.3068 dn_loss_cls: 0.0953 dn_loss_bbox: 0.1651 dn_loss_iou: 0.2146 d0.dn_loss_cls: 0.1793 d0.dn_loss_bbox: 0.3269 d0.dn_loss_iou: 0.3752 d1.dn_loss_cls: 0.1241 d1.dn_loss_bbox: 0.2012 d1.dn_loss_iou: 0.2515 d2.dn_loss_cls: 0.1083 d2.dn_loss_bbox: 0.1741 d2.dn_loss_iou: 0.2237 d3.dn_loss_cls: 0.0987 d3.dn_loss_bbox: 0.1663 d3.dn_loss_iou: 0.2159 d4.dn_loss_cls: 0.0961 d4.dn_loss_bbox: 0.1650 d4.dn_loss_iou: 0.2146 d1.loss_lmm_region: 0.2184 loss_lmm_image: 0.9217 2024/11/02 15:42:59 - mmengine - INFO - Iter(train) [ 13400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:05:14 time: 0.9750 data_time: 0.0167 memory: 21192 grad_norm: 24.7424 loss: 9.1197 loss_cls: 0.2633 loss_bbox: 0.1262 loss_iou: 0.2263 d0.loss_cls: 0.2985 d0.loss_bbox: 0.1351 d0.loss_iou: 0.2376 d1.loss_cls: 0.2839 d1.loss_bbox: 0.1252 d1.loss_iou: 0.2263 d2.loss_cls: 0.2748 d2.loss_bbox: 0.1210 d2.loss_iou: 0.2237 d3.loss_cls: 0.2687 d3.loss_bbox: 0.1227 d3.loss_iou: 0.2245 d4.loss_cls: 0.2640 d4.loss_bbox: 0.1261 d4.loss_iou: 0.2260 enc_loss_cls: 0.3170 enc_loss_bbox: 0.1481 enc_loss_iou: 0.2553 dn_loss_cls: 0.0924 dn_loss_bbox: 0.1770 dn_loss_iou: 0.2237 d0.dn_loss_cls: 0.1808 d0.dn_loss_bbox: 0.3457 d0.dn_loss_iou: 0.3888 d1.dn_loss_cls: 0.1281 d1.dn_loss_bbox: 0.2119 d1.dn_loss_iou: 0.2595 d2.dn_loss_cls: 0.1084 d2.dn_loss_bbox: 0.1862 d2.dn_loss_iou: 0.2322 d3.dn_loss_cls: 0.0971 d3.dn_loss_bbox: 0.1776 d3.dn_loss_iou: 0.2248 d4.dn_loss_cls: 0.0938 d4.dn_loss_bbox: 0.1771 d4.dn_loss_iou: 0.2238 d1.loss_lmm_region: 0.1977 loss_lmm_image: 0.8985 2024/11/02 15:44:37 - mmengine - INFO - Iter(train) [ 13500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:03:37 time: 0.9773 data_time: 0.0166 memory: 21488 grad_norm: 22.9875 loss: 10.7627 loss_cls: 0.3465 loss_bbox: 0.1604 loss_iou: 0.3168 d0.loss_cls: 0.3888 d0.loss_bbox: 0.1771 d0.loss_iou: 0.3386 d1.loss_cls: 0.3654 d1.loss_bbox: 0.1645 d1.loss_iou: 0.3236 d2.loss_cls: 0.3558 d2.loss_bbox: 0.1611 d2.loss_iou: 0.3167 d3.loss_cls: 0.3558 d3.loss_bbox: 0.1609 d3.loss_iou: 0.3157 d4.loss_cls: 0.3505 d4.loss_bbox: 0.1584 d4.loss_iou: 0.3166 enc_loss_cls: 0.4000 enc_loss_bbox: 0.1911 enc_loss_iou: 0.3630 dn_loss_cls: 0.1160 dn_loss_bbox: 0.1534 dn_loss_iou: 0.2434 d0.dn_loss_cls: 0.1974 d0.dn_loss_bbox: 0.2916 d0.dn_loss_iou: 0.4012 d1.dn_loss_cls: 0.1471 d1.dn_loss_bbox: 0.1830 d1.dn_loss_iou: 0.2790 d2.dn_loss_cls: 0.1284 d2.dn_loss_bbox: 0.1622 d2.dn_loss_iou: 0.2525 d3.dn_loss_cls: 0.1212 d3.dn_loss_bbox: 0.1540 d3.dn_loss_iou: 0.2447 d4.dn_loss_cls: 0.1175 d4.dn_loss_bbox: 0.1534 d4.dn_loss_iou: 0.2436 d1.loss_lmm_region: 0.1806 loss_lmm_image: 0.9650 2024/11/02 15:46:15 - mmengine - INFO - Iter(train) [ 13600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:02:07 time: 0.9907 data_time: 0.0167 memory: 21534 grad_norm: 24.5223 loss: 10.2186 loss_cls: 0.3315 loss_bbox: 0.1481 loss_iou: 0.2602 d0.loss_cls: 0.3693 d0.loss_bbox: 0.1685 d0.loss_iou: 0.2868 d1.loss_cls: 0.3592 d1.loss_bbox: 0.1559 d1.loss_iou: 0.2641 d2.loss_cls: 0.3435 d2.loss_bbox: 0.1481 d2.loss_iou: 0.2601 d3.loss_cls: 0.3342 d3.loss_bbox: 0.1503 d3.loss_iou: 0.2635 d4.loss_cls: 0.3325 d4.loss_bbox: 0.1492 d4.loss_iou: 0.2612 enc_loss_cls: 0.3818 enc_loss_bbox: 0.1855 enc_loss_iou: 0.3100 dn_loss_cls: 0.1256 dn_loss_bbox: 0.1632 dn_loss_iou: 0.2171 d0.dn_loss_cls: 0.2163 d0.dn_loss_bbox: 0.3230 d0.dn_loss_iou: 0.3694 d1.dn_loss_cls: 0.1593 d1.dn_loss_bbox: 0.2010 d1.dn_loss_iou: 0.2515 d2.dn_loss_cls: 0.1423 d2.dn_loss_bbox: 0.1738 d2.dn_loss_iou: 0.2271 d3.dn_loss_cls: 0.1315 d3.dn_loss_bbox: 0.1655 d3.dn_loss_iou: 0.2189 d4.dn_loss_cls: 0.1249 d4.dn_loss_bbox: 0.1632 d4.dn_loss_iou: 0.2170 d1.loss_lmm_region: 0.2020 loss_lmm_image: 0.9625 2024/11/02 15:47:53 - mmengine - INFO - Iter(train) [ 13700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:00:27 time: 0.9724 data_time: 0.0166 memory: 21267 grad_norm: 21.0505 loss: 9.5279 loss_cls: 0.2884 loss_bbox: 0.1335 loss_iou: 0.2603 d0.loss_cls: 0.3215 d0.loss_bbox: 0.1486 d0.loss_iou: 0.2798 d1.loss_cls: 0.3107 d1.loss_bbox: 0.1353 d1.loss_iou: 0.2656 d2.loss_cls: 0.2988 d2.loss_bbox: 0.1387 d2.loss_iou: 0.2638 d3.loss_cls: 0.2928 d3.loss_bbox: 0.1368 d3.loss_iou: 0.2630 d4.loss_cls: 0.2871 d4.loss_bbox: 0.1367 d4.loss_iou: 0.2630 enc_loss_cls: 0.3387 enc_loss_bbox: 0.1590 enc_loss_iou: 0.2977 dn_loss_cls: 0.0920 dn_loss_bbox: 0.1533 dn_loss_iou: 0.2200 d0.dn_loss_cls: 0.1854 d0.dn_loss_bbox: 0.2954 d0.dn_loss_iou: 0.3700 d1.dn_loss_cls: 0.1307 d1.dn_loss_bbox: 0.1788 d1.dn_loss_iou: 0.2513 d2.dn_loss_cls: 0.1113 d2.dn_loss_bbox: 0.1598 d2.dn_loss_iou: 0.2287 d3.dn_loss_cls: 0.0983 d3.dn_loss_bbox: 0.1542 d3.dn_loss_iou: 0.2214 d4.dn_loss_cls: 0.0928 d4.dn_loss_bbox: 0.1533 d4.dn_loss_iou: 0.2202 d1.loss_lmm_region: 0.2104 loss_lmm_image: 0.9808 2024/11/02 15:49:31 - mmengine - INFO - Iter(train) [ 13800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:58:52 time: 0.9817 data_time: 0.0165 memory: 20589 grad_norm: 25.3190 loss: 9.8610 loss_cls: 0.3268 loss_bbox: 0.1297 loss_iou: 0.2551 d0.loss_cls: 0.3633 d0.loss_bbox: 0.1511 d0.loss_iou: 0.2853 d1.loss_cls: 0.3479 d1.loss_bbox: 0.1361 d1.loss_iou: 0.2681 d2.loss_cls: 0.3358 d2.loss_bbox: 0.1322 d2.loss_iou: 0.2605 d3.loss_cls: 0.3350 d3.loss_bbox: 0.1300 d3.loss_iou: 0.2555 d4.loss_cls: 0.3277 d4.loss_bbox: 0.1305 d4.loss_iou: 0.2560 enc_loss_cls: 0.3750 enc_loss_bbox: 0.1628 enc_loss_iou: 0.3019 dn_loss_cls: 0.1348 dn_loss_bbox: 0.1456 dn_loss_iou: 0.2124 d0.dn_loss_cls: 0.2040 d0.dn_loss_bbox: 0.2921 d0.dn_loss_iou: 0.3705 d1.dn_loss_cls: 0.1693 d1.dn_loss_bbox: 0.1797 d1.dn_loss_iou: 0.2494 d2.dn_loss_cls: 0.1559 d2.dn_loss_bbox: 0.1547 d2.dn_loss_iou: 0.2230 d3.dn_loss_cls: 0.1403 d3.dn_loss_bbox: 0.1470 d3.dn_loss_iou: 0.2141 d4.dn_loss_cls: 0.1371 d4.dn_loss_bbox: 0.1456 d4.dn_loss_iou: 0.2124 d1.loss_lmm_region: 0.1985 loss_lmm_image: 0.9082 2024/11/02 15:51:07 - mmengine - INFO - Iter(train) [ 13900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:57:06 time: 0.9685 data_time: 0.0165 memory: 20684 grad_norm: 21.6435 loss: 9.9804 loss_cls: 0.3070 loss_bbox: 0.1403 loss_iou: 0.2685 d0.loss_cls: 0.3474 d0.loss_bbox: 0.1526 d0.loss_iou: 0.2871 d1.loss_cls: 0.3292 d1.loss_bbox: 0.1467 d1.loss_iou: 0.2792 d2.loss_cls: 0.3232 d2.loss_bbox: 0.1391 d2.loss_iou: 0.2694 d3.loss_cls: 0.3160 d3.loss_bbox: 0.1392 d3.loss_iou: 0.2676 d4.loss_cls: 0.3065 d4.loss_bbox: 0.1403 d4.loss_iou: 0.2698 enc_loss_cls: 0.3671 enc_loss_bbox: 0.1681 enc_loss_iou: 0.3102 dn_loss_cls: 0.1043 dn_loss_bbox: 0.1715 dn_loss_iou: 0.2243 d0.dn_loss_cls: 0.1920 d0.dn_loss_bbox: 0.3229 d0.dn_loss_iou: 0.3752 d1.dn_loss_cls: 0.1337 d1.dn_loss_bbox: 0.2042 d1.dn_loss_iou: 0.2584 d2.dn_loss_cls: 0.1177 d2.dn_loss_bbox: 0.1800 d2.dn_loss_iou: 0.2328 d3.dn_loss_cls: 0.1101 d3.dn_loss_bbox: 0.1717 d3.dn_loss_iou: 0.2252 d4.dn_loss_cls: 0.1052 d4.dn_loss_bbox: 0.1715 d4.dn_loss_iou: 0.2243 d1.loss_lmm_region: 0.2097 loss_lmm_image: 0.9715 2024/11/02 15:52:46 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 15:52:46 - mmengine - INFO - Iter(train) [ 14000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:55:36 time: 0.9841 data_time: 0.0168 memory: 21453 grad_norm: 23.3871 loss: 10.6275 loss_cls: 0.3438 loss_bbox: 0.1547 loss_iou: 0.2705 d0.loss_cls: 0.3806 d0.loss_bbox: 0.1687 d0.loss_iou: 0.2831 d1.loss_cls: 0.3656 d1.loss_bbox: 0.1539 d1.loss_iou: 0.2705 d2.loss_cls: 0.3623 d2.loss_bbox: 0.1493 d2.loss_iou: 0.2652 d3.loss_cls: 0.3510 d3.loss_bbox: 0.1505 d3.loss_iou: 0.2649 d4.loss_cls: 0.3474 d4.loss_bbox: 0.1518 d4.loss_iou: 0.2673 enc_loss_cls: 0.4026 enc_loss_bbox: 0.1761 enc_loss_iou: 0.2993 dn_loss_cls: 0.1468 dn_loss_bbox: 0.1699 dn_loss_iou: 0.2320 d0.dn_loss_cls: 0.2290 d0.dn_loss_bbox: 0.3238 d0.dn_loss_iou: 0.3918 d1.dn_loss_cls: 0.1761 d1.dn_loss_bbox: 0.2039 d1.dn_loss_iou: 0.2672 d2.dn_loss_cls: 0.1572 d2.dn_loss_bbox: 0.1761 d2.dn_loss_iou: 0.2407 d3.dn_loss_cls: 0.1513 d3.dn_loss_bbox: 0.1705 d3.dn_loss_iou: 0.2333 d4.dn_loss_cls: 0.1470 d4.dn_loss_bbox: 0.1698 d4.dn_loss_iou: 0.2319 d1.loss_lmm_region: 0.2324 loss_lmm_image: 0.9979 2024/11/02 15:54:23 - mmengine - INFO - Iter(train) [ 14100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:53:53 time: 0.9692 data_time: 0.0167 memory: 20985 grad_norm: 21.4728 loss: 9.4163 loss_cls: 0.2823 loss_bbox: 0.1250 loss_iou: 0.2321 d0.loss_cls: 0.3064 d0.loss_bbox: 0.1377 d0.loss_iou: 0.2527 d1.loss_cls: 0.2937 d1.loss_bbox: 0.1279 d1.loss_iou: 0.2408 d2.loss_cls: 0.2887 d2.loss_bbox: 0.1266 d2.loss_iou: 0.2340 d3.loss_cls: 0.2852 d3.loss_bbox: 0.1247 d3.loss_iou: 0.2317 d4.loss_cls: 0.2834 d4.loss_bbox: 0.1253 d4.loss_iou: 0.2326 enc_loss_cls: 0.3310 enc_loss_bbox: 0.1460 enc_loss_iou: 0.2706 dn_loss_cls: 0.0986 dn_loss_bbox: 0.1690 dn_loss_iou: 0.2252 d0.dn_loss_cls: 0.1876 d0.dn_loss_bbox: 0.3479 d0.dn_loss_iou: 0.3929 d1.dn_loss_cls: 0.1291 d1.dn_loss_bbox: 0.2142 d1.dn_loss_iou: 0.2659 d2.dn_loss_cls: 0.1147 d2.dn_loss_bbox: 0.1811 d2.dn_loss_iou: 0.2356 d3.dn_loss_cls: 0.1042 d3.dn_loss_bbox: 0.1708 d3.dn_loss_iou: 0.2271 d4.dn_loss_cls: 0.0996 d4.dn_loss_bbox: 0.1691 d4.dn_loss_iou: 0.2253 d1.loss_lmm_region: 0.2207 loss_lmm_image: 0.9590 2024/11/02 15:56:01 - mmengine - INFO - Iter(train) [ 14200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:52:20 time: 0.9693 data_time: 0.0167 memory: 21589 grad_norm: 24.8044 loss: 9.4490 loss_cls: 0.2921 loss_bbox: 0.1333 loss_iou: 0.2624 d0.loss_cls: 0.3287 d0.loss_bbox: 0.1455 d0.loss_iou: 0.2792 d1.loss_cls: 0.3145 d1.loss_bbox: 0.1381 d1.loss_iou: 0.2705 d2.loss_cls: 0.3040 d2.loss_bbox: 0.1327 d2.loss_iou: 0.2664 d3.loss_cls: 0.2979 d3.loss_bbox: 0.1342 d3.loss_iou: 0.2637 d4.loss_cls: 0.2914 d4.loss_bbox: 0.1349 d4.loss_iou: 0.2631 enc_loss_cls: 0.3486 enc_loss_bbox: 0.1555 enc_loss_iou: 0.3028 dn_loss_cls: 0.0831 dn_loss_bbox: 0.1569 dn_loss_iou: 0.2061 d0.dn_loss_cls: 0.1745 d0.dn_loss_bbox: 0.3003 d0.dn_loss_iou: 0.3517 d1.dn_loss_cls: 0.1170 d1.dn_loss_bbox: 0.1876 d1.dn_loss_iou: 0.2399 d2.dn_loss_cls: 0.1006 d2.dn_loss_bbox: 0.1635 d2.dn_loss_iou: 0.2146 d3.dn_loss_cls: 0.0881 d3.dn_loss_bbox: 0.1577 d3.dn_loss_iou: 0.2073 d4.dn_loss_cls: 0.0836 d4.dn_loss_bbox: 0.1570 d4.dn_loss_iou: 0.2062 d1.loss_lmm_region: 0.2201 loss_lmm_image: 0.9739 2024/11/02 15:57:40 - mmengine - INFO - Iter(train) [ 14300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:50:48 time: 0.9859 data_time: 0.0168 memory: 20479 grad_norm: 21.1110 loss: 9.9315 loss_cls: 0.2887 loss_bbox: 0.1440 loss_iou: 0.2774 d0.loss_cls: 0.3246 d0.loss_bbox: 0.1558 d0.loss_iou: 0.2914 d1.loss_cls: 0.3077 d1.loss_bbox: 0.1469 d1.loss_iou: 0.2827 d2.loss_cls: 0.3063 d2.loss_bbox: 0.1399 d2.loss_iou: 0.2772 d3.loss_cls: 0.2998 d3.loss_bbox: 0.1401 d3.loss_iou: 0.2762 d4.loss_cls: 0.2917 d4.loss_bbox: 0.1435 d4.loss_iou: 0.2774 enc_loss_cls: 0.3380 enc_loss_bbox: 0.1727 enc_loss_iou: 0.3159 dn_loss_cls: 0.0949 dn_loss_bbox: 0.1687 dn_loss_iou: 0.2434 d0.dn_loss_cls: 0.1828 d0.dn_loss_bbox: 0.3272 d0.dn_loss_iou: 0.4036 d1.dn_loss_cls: 0.1278 d1.dn_loss_bbox: 0.2050 d1.dn_loss_iou: 0.2804 d2.dn_loss_cls: 0.1105 d2.dn_loss_bbox: 0.1790 d2.dn_loss_iou: 0.2529 d3.dn_loss_cls: 0.1001 d3.dn_loss_bbox: 0.1695 d3.dn_loss_iou: 0.2445 d4.dn_loss_cls: 0.0955 d4.dn_loss_bbox: 0.1686 d4.dn_loss_iou: 0.2434 d1.loss_lmm_region: 0.1860 loss_lmm_image: 0.9500 2024/11/02 15:59:18 - mmengine - INFO - Iter(train) [ 14400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:49:10 time: 0.9766 data_time: 0.0168 memory: 20762 grad_norm: 22.8139 loss: 10.6037 loss_cls: 0.3464 loss_bbox: 0.1399 loss_iou: 0.2787 d0.loss_cls: 0.3865 d0.loss_bbox: 0.1546 d0.loss_iou: 0.2978 d1.loss_cls: 0.3662 d1.loss_bbox: 0.1409 d1.loss_iou: 0.2834 d2.loss_cls: 0.3582 d2.loss_bbox: 0.1379 d2.loss_iou: 0.2764 d3.loss_cls: 0.3560 d3.loss_bbox: 0.1372 d3.loss_iou: 0.2778 d4.loss_cls: 0.3485 d4.loss_bbox: 0.1400 d4.loss_iou: 0.2793 enc_loss_cls: 0.3913 enc_loss_bbox: 0.1687 enc_loss_iou: 0.3231 dn_loss_cls: 0.1519 dn_loss_bbox: 0.1690 dn_loss_iou: 0.2264 d0.dn_loss_cls: 0.2207 d0.dn_loss_bbox: 0.3295 d0.dn_loss_iou: 0.3858 d1.dn_loss_cls: 0.1821 d1.dn_loss_bbox: 0.2079 d1.dn_loss_iou: 0.2651 d2.dn_loss_cls: 0.1686 d2.dn_loss_bbox: 0.1808 d2.dn_loss_iou: 0.2377 d3.dn_loss_cls: 0.1600 d3.dn_loss_bbox: 0.1708 d3.dn_loss_iou: 0.2284 d4.dn_loss_cls: 0.1503 d4.dn_loss_bbox: 0.1691 d4.dn_loss_iou: 0.2264 d1.loss_lmm_region: 0.2416 loss_lmm_image: 0.9428 2024/11/02 16:00:57 - mmengine - INFO - Iter(train) [ 14500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:47:46 time: 0.9974 data_time: 0.0168 memory: 21018 grad_norm: 23.0074 loss: 11.4746 loss_cls: 0.3715 loss_bbox: 0.1706 loss_iou: 0.3221 d0.loss_cls: 0.4053 d0.loss_bbox: 0.1907 d0.loss_iou: 0.3450 d1.loss_cls: 0.3928 d1.loss_bbox: 0.1732 d1.loss_iou: 0.3302 d2.loss_cls: 0.3830 d2.loss_bbox: 0.1690 d2.loss_iou: 0.3232 d3.loss_cls: 0.3743 d3.loss_bbox: 0.1707 d3.loss_iou: 0.3220 d4.loss_cls: 0.3710 d4.loss_bbox: 0.1714 d4.loss_iou: 0.3235 enc_loss_cls: 0.4161 enc_loss_bbox: 0.2053 enc_loss_iou: 0.3698 dn_loss_cls: 0.1167 dn_loss_bbox: 0.2044 dn_loss_iou: 0.2553 d0.dn_loss_cls: 0.2053 d0.dn_loss_bbox: 0.3980 d0.dn_loss_iou: 0.4331 d1.dn_loss_cls: 0.1492 d1.dn_loss_bbox: 0.2490 d1.dn_loss_iou: 0.2997 d2.dn_loss_cls: 0.1319 d2.dn_loss_bbox: 0.2149 d2.dn_loss_iou: 0.2666 d3.dn_loss_cls: 0.1210 d3.dn_loss_bbox: 0.2054 d3.dn_loss_iou: 0.2571 d4.dn_loss_cls: 0.1170 d4.dn_loss_bbox: 0.2043 d4.dn_loss_iou: 0.2553 d1.loss_lmm_region: 0.1937 loss_lmm_image: 0.8956 2024/11/02 16:02:34 - mmengine - INFO - Iter(train) [ 14600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:46:04 time: 0.9737 data_time: 0.0169 memory: 20788 grad_norm: 21.6812 loss: 9.5695 loss_cls: 0.2887 loss_bbox: 0.1284 loss_iou: 0.2367 d0.loss_cls: 0.3136 d0.loss_bbox: 0.1511 d0.loss_iou: 0.2580 d1.loss_cls: 0.3036 d1.loss_bbox: 0.1340 d1.loss_iou: 0.2469 d2.loss_cls: 0.2975 d2.loss_bbox: 0.1271 d2.loss_iou: 0.2391 d3.loss_cls: 0.2921 d3.loss_bbox: 0.1309 d3.loss_iou: 0.2400 d4.loss_cls: 0.2911 d4.loss_bbox: 0.1279 d4.loss_iou: 0.2366 enc_loss_cls: 0.3415 enc_loss_bbox: 0.1540 enc_loss_iou: 0.2681 dn_loss_cls: 0.1058 dn_loss_bbox: 0.1815 dn_loss_iou: 0.2262 d0.dn_loss_cls: 0.1939 d0.dn_loss_bbox: 0.3500 d0.dn_loss_iou: 0.3834 d1.dn_loss_cls: 0.1374 d1.dn_loss_bbox: 0.2177 d1.dn_loss_iou: 0.2623 d2.dn_loss_cls: 0.1198 d2.dn_loss_bbox: 0.1912 d2.dn_loss_iou: 0.2357 d3.dn_loss_cls: 0.1115 d3.dn_loss_bbox: 0.1827 d3.dn_loss_iou: 0.2277 d4.dn_loss_cls: 0.1060 d4.dn_loss_bbox: 0.1814 d4.dn_loss_iou: 0.2261 d1.loss_lmm_region: 0.1966 loss_lmm_image: 0.9260 2024/11/02 16:04:13 - mmengine - INFO - Iter(train) [ 14700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:44:40 time: 0.9919 data_time: 0.0167 memory: 21135 grad_norm: 22.7965 loss: 9.6930 loss_cls: 0.2693 loss_bbox: 0.1433 loss_iou: 0.2417 d0.loss_cls: 0.3059 d0.loss_bbox: 0.1542 d0.loss_iou: 0.2575 d1.loss_cls: 0.2862 d1.loss_bbox: 0.1484 d1.loss_iou: 0.2488 d2.loss_cls: 0.2772 d2.loss_bbox: 0.1469 d2.loss_iou: 0.2438 d3.loss_cls: 0.2740 d3.loss_bbox: 0.1427 d3.loss_iou: 0.2422 d4.loss_cls: 0.2715 d4.loss_bbox: 0.1422 d4.loss_iou: 0.2413 enc_loss_cls: 0.3224 enc_loss_bbox: 0.1669 enc_loss_iou: 0.2795 dn_loss_cls: 0.1037 dn_loss_bbox: 0.1887 dn_loss_iou: 0.2301 d0.dn_loss_cls: 0.2006 d0.dn_loss_bbox: 0.3374 d0.dn_loss_iou: 0.3768 d1.dn_loss_cls: 0.1392 d1.dn_loss_bbox: 0.2224 d1.dn_loss_iou: 0.2626 d2.dn_loss_cls: 0.1189 d2.dn_loss_bbox: 0.1985 d2.dn_loss_iou: 0.2396 d3.dn_loss_cls: 0.1101 d3.dn_loss_bbox: 0.1900 d3.dn_loss_iou: 0.2319 d4.dn_loss_cls: 0.1050 d4.dn_loss_bbox: 0.1887 d4.dn_loss_iou: 0.2303 d1.loss_lmm_region: 0.2293 loss_lmm_image: 0.9830 2024/11/02 16:05:50 - mmengine - INFO - Iter(train) [ 14800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:42:56 time: 0.9663 data_time: 0.0167 memory: 20797 grad_norm: 23.7204 loss: 9.1956 loss_cls: 0.2846 loss_bbox: 0.1167 loss_iou: 0.2420 d0.loss_cls: 0.3174 d0.loss_bbox: 0.1308 d0.loss_iou: 0.2597 d1.loss_cls: 0.2980 d1.loss_bbox: 0.1237 d1.loss_iou: 0.2509 d2.loss_cls: 0.2890 d2.loss_bbox: 0.1226 d2.loss_iou: 0.2474 d3.loss_cls: 0.2869 d3.loss_bbox: 0.1198 d3.loss_iou: 0.2447 d4.loss_cls: 0.2869 d4.loss_bbox: 0.1168 d4.loss_iou: 0.2419 enc_loss_cls: 0.3213 enc_loss_bbox: 0.1515 enc_loss_iou: 0.2884 dn_loss_cls: 0.0921 dn_loss_bbox: 0.1606 dn_loss_iou: 0.2284 d0.dn_loss_cls: 0.1772 d0.dn_loss_bbox: 0.3050 d0.dn_loss_iou: 0.3843 d1.dn_loss_cls: 0.1228 d1.dn_loss_bbox: 0.1916 d1.dn_loss_iou: 0.2624 d2.dn_loss_cls: 0.1049 d2.dn_loss_bbox: 0.1663 d2.dn_loss_iou: 0.2353 d3.dn_loss_cls: 0.0957 d3.dn_loss_bbox: 0.1606 d3.dn_loss_iou: 0.2289 d4.dn_loss_cls: 0.0923 d4.dn_loss_bbox: 0.1606 d4.dn_loss_iou: 0.2283 d1.loss_lmm_region: 0.1626 loss_lmm_image: 0.8951 2024/11/02 16:07:29 - mmengine - INFO - Iter(train) [ 14900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:41:24 time: 0.9743 data_time: 0.0167 memory: 20296 grad_norm: 23.7365 loss: 9.3955 loss_cls: 0.2987 loss_bbox: 0.1266 loss_iou: 0.2318 d0.loss_cls: 0.3275 d0.loss_bbox: 0.1444 d0.loss_iou: 0.2466 d1.loss_cls: 0.3197 d1.loss_bbox: 0.1307 d1.loss_iou: 0.2360 d2.loss_cls: 0.3123 d2.loss_bbox: 0.1281 d2.loss_iou: 0.2334 d3.loss_cls: 0.3076 d3.loss_bbox: 0.1269 d3.loss_iou: 0.2319 d4.loss_cls: 0.3028 d4.loss_bbox: 0.1254 d4.loss_iou: 0.2309 enc_loss_cls: 0.3445 enc_loss_bbox: 0.1489 enc_loss_iou: 0.2644 dn_loss_cls: 0.1090 dn_loss_bbox: 0.1606 dn_loss_iou: 0.2100 d0.dn_loss_cls: 0.1932 d0.dn_loss_bbox: 0.3294 d0.dn_loss_iou: 0.3659 d1.dn_loss_cls: 0.1413 d1.dn_loss_bbox: 0.1952 d1.dn_loss_iou: 0.2463 d2.dn_loss_cls: 0.1250 d2.dn_loss_bbox: 0.1700 d2.dn_loss_iou: 0.2198 d3.dn_loss_cls: 0.1145 d3.dn_loss_bbox: 0.1619 d3.dn_loss_iou: 0.2114 d4.dn_loss_cls: 0.1092 d4.dn_loss_bbox: 0.1605 d4.dn_loss_iou: 0.2098 d1.loss_lmm_region: 0.2138 loss_lmm_image: 0.9297 2024/11/02 16:09:06 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 16:09:06 - mmengine - INFO - Iter(train) [ 15000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:39:41 time: 0.9803 data_time: 0.0167 memory: 20739 grad_norm: 23.1966 loss: 9.5532 loss_cls: 0.3305 loss_bbox: 0.1263 loss_iou: 0.2188 d0.loss_cls: 0.3710 d0.loss_bbox: 0.1397 d0.loss_iou: 0.2389 d1.loss_cls: 0.3573 d1.loss_bbox: 0.1298 d1.loss_iou: 0.2280 d2.loss_cls: 0.3451 d2.loss_bbox: 0.1261 d2.loss_iou: 0.2192 d3.loss_cls: 0.3382 d3.loss_bbox: 0.1247 d3.loss_iou: 0.2167 d4.loss_cls: 0.3335 d4.loss_bbox: 0.1259 d4.loss_iou: 0.2187 enc_loss_cls: 0.3848 enc_loss_bbox: 0.1576 enc_loss_iou: 0.2637 dn_loss_cls: 0.1131 dn_loss_bbox: 0.1664 dn_loss_iou: 0.2008 d0.dn_loss_cls: 0.2028 d0.dn_loss_bbox: 0.3142 d0.dn_loss_iou: 0.3420 d1.dn_loss_cls: 0.1451 d1.dn_loss_bbox: 0.2042 d1.dn_loss_iou: 0.2352 d2.dn_loss_cls: 0.1294 d2.dn_loss_bbox: 0.1779 d2.dn_loss_iou: 0.2107 d3.dn_loss_cls: 0.1211 d3.dn_loss_bbox: 0.1682 d3.dn_loss_iou: 0.2026 d4.dn_loss_cls: 0.1144 d4.dn_loss_bbox: 0.1663 d4.dn_loss_iou: 0.2007 d1.loss_lmm_region: 0.2000 loss_lmm_image: 0.9435 2024/11/02 16:10:44 - mmengine - INFO - Iter(train) [ 15100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:38:01 time: 0.9672 data_time: 0.0167 memory: 21397 grad_norm: 20.4632 loss: 10.8834 loss_cls: 0.3234 loss_bbox: 0.1770 loss_iou: 0.2847 d0.loss_cls: 0.3560 d0.loss_bbox: 0.1833 d0.loss_iou: 0.3018 d1.loss_cls: 0.3412 d1.loss_bbox: 0.1792 d1.loss_iou: 0.2899 d2.loss_cls: 0.3355 d2.loss_bbox: 0.1767 d2.loss_iou: 0.2867 d3.loss_cls: 0.3268 d3.loss_bbox: 0.1785 d3.loss_iou: 0.2867 d4.loss_cls: 0.3232 d4.loss_bbox: 0.1742 d4.loss_iou: 0.2864 enc_loss_cls: 0.3674 enc_loss_bbox: 0.1995 enc_loss_iou: 0.3268 dn_loss_cls: 0.1088 dn_loss_bbox: 0.2107 dn_loss_iou: 0.2607 d0.dn_loss_cls: 0.1968 d0.dn_loss_bbox: 0.3854 d0.dn_loss_iou: 0.4300 d1.dn_loss_cls: 0.1401 d1.dn_loss_bbox: 0.2463 d1.dn_loss_iou: 0.2986 d2.dn_loss_cls: 0.1220 d2.dn_loss_bbox: 0.2199 d2.dn_loss_iou: 0.2717 d3.dn_loss_cls: 0.1122 d3.dn_loss_bbox: 0.2115 d3.dn_loss_iou: 0.2620 d4.dn_loss_cls: 0.1107 d4.dn_loss_bbox: 0.2107 d4.dn_loss_iou: 0.2605 d1.loss_lmm_region: 0.1998 loss_lmm_image: 0.9199 2024/11/02 16:12:22 - mmengine - INFO - Iter(train) [ 15200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:36:31 time: 0.9931 data_time: 0.0170 memory: 20309 grad_norm: 23.6287 loss: 9.3974 loss_cls: 0.3143 loss_bbox: 0.1239 loss_iou: 0.2384 d0.loss_cls: 0.3300 d0.loss_bbox: 0.1475 d0.loss_iou: 0.2653 d1.loss_cls: 0.3270 d1.loss_bbox: 0.1326 d1.loss_iou: 0.2501 d2.loss_cls: 0.3215 d2.loss_bbox: 0.1269 d2.loss_iou: 0.2401 d3.loss_cls: 0.3183 d3.loss_bbox: 0.1239 d3.loss_iou: 0.2374 d4.loss_cls: 0.3117 d4.loss_bbox: 0.1275 d4.loss_iou: 0.2389 enc_loss_cls: 0.3469 enc_loss_bbox: 0.1587 enc_loss_iou: 0.2868 dn_loss_cls: 0.1255 dn_loss_bbox: 0.1422 dn_loss_iou: 0.2101 d0.dn_loss_cls: 0.1822 d0.dn_loss_bbox: 0.2909 d0.dn_loss_iou: 0.3556 d1.dn_loss_cls: 0.1510 d1.dn_loss_bbox: 0.1807 d1.dn_loss_iou: 0.2459 d2.dn_loss_cls: 0.1392 d2.dn_loss_bbox: 0.1530 d2.dn_loss_iou: 0.2200 d3.dn_loss_cls: 0.1289 d3.dn_loss_bbox: 0.1438 d3.dn_loss_iou: 0.2117 d4.dn_loss_cls: 0.1267 d4.dn_loss_bbox: 0.1422 d4.dn_loss_iou: 0.2100 d1.loss_lmm_region: 0.1757 loss_lmm_image: 0.8946 2024/11/02 16:13:59 - mmengine - INFO - Iter(train) [ 15300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:34:46 time: 0.9587 data_time: 0.0169 memory: 20518 grad_norm: 21.1453 loss: 9.4378 loss_cls: 0.2839 loss_bbox: 0.1359 loss_iou: 0.2645 d0.loss_cls: 0.3172 d0.loss_bbox: 0.1533 d0.loss_iou: 0.2864 d1.loss_cls: 0.3001 d1.loss_bbox: 0.1436 d1.loss_iou: 0.2751 d2.loss_cls: 0.2954 d2.loss_bbox: 0.1356 d2.loss_iou: 0.2673 d3.loss_cls: 0.2866 d3.loss_bbox: 0.1372 d3.loss_iou: 0.2673 d4.loss_cls: 0.2847 d4.loss_bbox: 0.1354 d4.loss_iou: 0.2658 enc_loss_cls: 0.3354 enc_loss_bbox: 0.1664 enc_loss_iou: 0.3079 dn_loss_cls: 0.0958 dn_loss_bbox: 0.1441 dn_loss_iou: 0.2106 d0.dn_loss_cls: 0.1831 d0.dn_loss_bbox: 0.3011 d0.dn_loss_iou: 0.3625 d1.dn_loss_cls: 0.1289 d1.dn_loss_bbox: 0.1788 d1.dn_loss_iou: 0.2456 d2.dn_loss_cls: 0.1131 d2.dn_loss_bbox: 0.1534 d2.dn_loss_iou: 0.2206 d3.dn_loss_cls: 0.1032 d3.dn_loss_bbox: 0.1450 d3.dn_loss_iou: 0.2118 d4.dn_loss_cls: 0.0980 d4.dn_loss_bbox: 0.1441 d4.dn_loss_iou: 0.2105 d1.loss_lmm_region: 0.1869 loss_lmm_image: 0.9557 2024/11/02 16:15:37 - mmengine - INFO - Iter(train) [ 15400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:33:13 time: 0.9745 data_time: 0.0168 memory: 21242 grad_norm: 21.6854 loss: 10.4563 loss_cls: 0.3044 loss_bbox: 0.1522 loss_iou: 0.2709 d0.loss_cls: 0.3298 d0.loss_bbox: 0.1719 d0.loss_iou: 0.2942 d1.loss_cls: 0.3134 d1.loss_bbox: 0.1662 d1.loss_iou: 0.2821 d2.loss_cls: 0.3128 d2.loss_bbox: 0.1542 d2.loss_iou: 0.2729 d3.loss_cls: 0.3089 d3.loss_bbox: 0.1528 d3.loss_iou: 0.2723 d4.loss_cls: 0.3062 d4.loss_bbox: 0.1520 d4.loss_iou: 0.2710 enc_loss_cls: 0.3462 enc_loss_bbox: 0.1826 enc_loss_iou: 0.3152 dn_loss_cls: 0.1049 dn_loss_bbox: 0.2119 dn_loss_iou: 0.2505 d0.dn_loss_cls: 0.1878 d0.dn_loss_bbox: 0.3939 d0.dn_loss_iou: 0.4148 d1.dn_loss_cls: 0.1345 d1.dn_loss_bbox: 0.2487 d1.dn_loss_iou: 0.2863 d2.dn_loss_cls: 0.1179 d2.dn_loss_bbox: 0.2214 d2.dn_loss_iou: 0.2603 d3.dn_loss_cls: 0.1089 d3.dn_loss_bbox: 0.2142 d3.dn_loss_iou: 0.2528 d4.dn_loss_cls: 0.1057 d4.dn_loss_bbox: 0.2120 d4.dn_loss_iou: 0.2506 d1.loss_lmm_region: 0.2277 loss_lmm_image: 0.9191 2024/11/02 16:17:16 - mmengine - INFO - Iter(train) [ 15500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:31:42 time: 0.9917 data_time: 0.0168 memory: 20991 grad_norm: 23.1620 loss: 9.7516 loss_cls: 0.2885 loss_bbox: 0.1389 loss_iou: 0.2676 d0.loss_cls: 0.3174 d0.loss_bbox: 0.1514 d0.loss_iou: 0.2884 d1.loss_cls: 0.2989 d1.loss_bbox: 0.1439 d1.loss_iou: 0.2745 d2.loss_cls: 0.2905 d2.loss_bbox: 0.1431 d2.loss_iou: 0.2744 d3.loss_cls: 0.2917 d3.loss_bbox: 0.1382 d3.loss_iou: 0.2679 d4.loss_cls: 0.2884 d4.loss_bbox: 0.1381 d4.loss_iou: 0.2683 enc_loss_cls: 0.3322 enc_loss_bbox: 0.1648 enc_loss_iou: 0.3062 dn_loss_cls: 0.0888 dn_loss_bbox: 0.1681 dn_loss_iou: 0.2468 d0.dn_loss_cls: 0.1698 d0.dn_loss_bbox: 0.3234 d0.dn_loss_iou: 0.3984 d1.dn_loss_cls: 0.1156 d1.dn_loss_bbox: 0.2093 d1.dn_loss_iou: 0.2842 d2.dn_loss_cls: 0.1001 d2.dn_loss_bbox: 0.1826 d2.dn_loss_iou: 0.2573 d3.dn_loss_cls: 0.0938 d3.dn_loss_bbox: 0.1708 d3.dn_loss_iou: 0.2488 d4.dn_loss_cls: 0.0890 d4.dn_loss_bbox: 0.1680 d4.dn_loss_iou: 0.2468 d1.loss_lmm_region: 0.2058 loss_lmm_image: 0.9107 2024/11/02 16:18:54 - mmengine - INFO - Iter(train) [ 15600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:30:05 time: 0.9758 data_time: 0.0168 memory: 21422 grad_norm: 23.2076 loss: 8.8079 loss_cls: 0.2674 loss_bbox: 0.1226 loss_iou: 0.2218 d0.loss_cls: 0.3003 d0.loss_bbox: 0.1372 d0.loss_iou: 0.2407 d1.loss_cls: 0.2874 d1.loss_bbox: 0.1267 d1.loss_iou: 0.2254 d2.loss_cls: 0.2789 d2.loss_bbox: 0.1229 d2.loss_iou: 0.2219 d3.loss_cls: 0.2741 d3.loss_bbox: 0.1210 d3.loss_iou: 0.2204 d4.loss_cls: 0.2700 d4.loss_bbox: 0.1219 d4.loss_iou: 0.2207 enc_loss_cls: 0.3144 enc_loss_bbox: 0.1479 enc_loss_iou: 0.2626 dn_loss_cls: 0.0924 dn_loss_bbox: 0.1555 dn_loss_iou: 0.2009 d0.dn_loss_cls: 0.1667 d0.dn_loss_bbox: 0.3079 d0.dn_loss_iou: 0.3523 d1.dn_loss_cls: 0.1200 d1.dn_loss_bbox: 0.1899 d1.dn_loss_iou: 0.2360 d2.dn_loss_cls: 0.1073 d2.dn_loss_bbox: 0.1661 d2.dn_loss_iou: 0.2113 d3.dn_loss_cls: 0.0966 d3.dn_loss_bbox: 0.1577 d3.dn_loss_iou: 0.2035 d4.dn_loss_cls: 0.0940 d4.dn_loss_bbox: 0.1557 d4.dn_loss_iou: 0.2010 d1.loss_lmm_region: 0.1704 loss_lmm_image: 0.9166 2024/11/02 16:20:32 - mmengine - INFO - Iter(train) [ 15700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:28:29 time: 0.9846 data_time: 0.0168 memory: 20771 grad_norm: 23.0917 loss: 10.5948 loss_cls: 0.3433 loss_bbox: 0.1584 loss_iou: 0.2939 d0.loss_cls: 0.3751 d0.loss_bbox: 0.1712 d0.loss_iou: 0.3128 d1.loss_cls: 0.3594 d1.loss_bbox: 0.1621 d1.loss_iou: 0.3026 d2.loss_cls: 0.3533 d2.loss_bbox: 0.1593 d2.loss_iou: 0.2963 d3.loss_cls: 0.3469 d3.loss_bbox: 0.1584 d3.loss_iou: 0.2932 d4.loss_cls: 0.3451 d4.loss_bbox: 0.1581 d4.loss_iou: 0.2924 enc_loss_cls: 0.3929 enc_loss_bbox: 0.1837 enc_loss_iou: 0.3303 dn_loss_cls: 0.1154 dn_loss_bbox: 0.1669 dn_loss_iou: 0.2345 d0.dn_loss_cls: 0.1950 d0.dn_loss_bbox: 0.3141 d0.dn_loss_iou: 0.3873 d1.dn_loss_cls: 0.1411 d1.dn_loss_bbox: 0.2026 d1.dn_loss_iou: 0.2700 d2.dn_loss_cls: 0.1283 d2.dn_loss_bbox: 0.1761 d2.dn_loss_iou: 0.2435 d3.dn_loss_cls: 0.1188 d3.dn_loss_bbox: 0.1680 d3.dn_loss_iou: 0.2358 d4.dn_loss_cls: 0.1163 d4.dn_loss_bbox: 0.1670 d4.dn_loss_iou: 0.2345 d1.loss_lmm_region: 0.1987 loss_lmm_image: 0.9921 2024/11/02 16:22:11 - mmengine - INFO - Iter(train) [ 15800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:27:03 time: 0.9837 data_time: 0.0168 memory: 21354 grad_norm: 27.7228 loss: 9.5742 loss_cls: 0.2896 loss_bbox: 0.1278 loss_iou: 0.2127 d0.loss_cls: 0.3250 d0.loss_bbox: 0.1441 d0.loss_iou: 0.2305 d1.loss_cls: 0.3116 d1.loss_bbox: 0.1366 d1.loss_iou: 0.2232 d2.loss_cls: 0.3049 d2.loss_bbox: 0.1313 d2.loss_iou: 0.2149 d3.loss_cls: 0.2973 d3.loss_bbox: 0.1282 d3.loss_iou: 0.2137 d4.loss_cls: 0.2915 d4.loss_bbox: 0.1272 d4.loss_iou: 0.2118 enc_loss_cls: 0.3425 enc_loss_bbox: 0.1603 enc_loss_iou: 0.2537 dn_loss_cls: 0.0939 dn_loss_bbox: 0.2038 dn_loss_iou: 0.2260 d0.dn_loss_cls: 0.1952 d0.dn_loss_bbox: 0.3975 d0.dn_loss_iou: 0.3902 d1.dn_loss_cls: 0.1272 d1.dn_loss_bbox: 0.2450 d1.dn_loss_iou: 0.2621 d2.dn_loss_cls: 0.1088 d2.dn_loss_bbox: 0.2167 d2.dn_loss_iou: 0.2366 d3.dn_loss_cls: 0.1003 d3.dn_loss_bbox: 0.2056 d3.dn_loss_iou: 0.2277 d4.dn_loss_cls: 0.0957 d4.dn_loss_bbox: 0.2038 d4.dn_loss_iou: 0.2260 d1.loss_lmm_region: 0.2382 loss_lmm_image: 0.8956 2024/11/02 16:23:50 - mmengine - INFO - Iter(train) [ 15900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:25:35 time: 0.9982 data_time: 0.0169 memory: 21016 grad_norm: 21.4585 loss: 9.4821 loss_cls: 0.3025 loss_bbox: 0.1173 loss_iou: 0.2614 d0.loss_cls: 0.3410 d0.loss_bbox: 0.1361 d0.loss_iou: 0.2810 d1.loss_cls: 0.3243 d1.loss_bbox: 0.1261 d1.loss_iou: 0.2684 d2.loss_cls: 0.3143 d2.loss_bbox: 0.1187 d2.loss_iou: 0.2634 d3.loss_cls: 0.3105 d3.loss_bbox: 0.1169 d3.loss_iou: 0.2613 d4.loss_cls: 0.3060 d4.loss_bbox: 0.1166 d4.loss_iou: 0.2608 enc_loss_cls: 0.3624 enc_loss_bbox: 0.1522 enc_loss_iou: 0.3095 dn_loss_cls: 0.0901 dn_loss_bbox: 0.1496 dn_loss_iou: 0.2269 d0.dn_loss_cls: 0.1650 d0.dn_loss_bbox: 0.2961 d0.dn_loss_iou: 0.3845 d1.dn_loss_cls: 0.1174 d1.dn_loss_bbox: 0.1853 d1.dn_loss_iou: 0.2621 d2.dn_loss_cls: 0.1025 d2.dn_loss_bbox: 0.1582 d2.dn_loss_iou: 0.2357 d3.dn_loss_cls: 0.0961 d3.dn_loss_bbox: 0.1510 d3.dn_loss_iou: 0.2280 d4.dn_loss_cls: 0.0912 d4.dn_loss_bbox: 0.1497 d4.dn_loss_iou: 0.2269 d1.loss_lmm_region: 0.1716 loss_lmm_image: 0.9436 2024/11/02 16:25:28 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 16:25:28 - mmengine - INFO - Iter(train) [ 16000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:23:58 time: 0.9743 data_time: 0.0171 memory: 20533 grad_norm: 24.7382 loss: 9.1909 loss_cls: 0.3063 loss_bbox: 0.1143 loss_iou: 0.2477 d0.loss_cls: 0.3455 d0.loss_bbox: 0.1262 d0.loss_iou: 0.2650 d1.loss_cls: 0.3243 d1.loss_bbox: 0.1225 d1.loss_iou: 0.2564 d2.loss_cls: 0.3227 d2.loss_bbox: 0.1119 d2.loss_iou: 0.2485 d3.loss_cls: 0.3139 d3.loss_bbox: 0.1153 d3.loss_iou: 0.2479 d4.loss_cls: 0.3094 d4.loss_bbox: 0.1138 d4.loss_iou: 0.2477 enc_loss_cls: 0.3589 enc_loss_bbox: 0.1441 enc_loss_iou: 0.2903 dn_loss_cls: 0.0938 dn_loss_bbox: 0.1426 dn_loss_iou: 0.1970 d0.dn_loss_cls: 0.1831 d0.dn_loss_bbox: 0.2994 d0.dn_loss_iou: 0.3463 d1.dn_loss_cls: 0.1241 d1.dn_loss_bbox: 0.1778 d1.dn_loss_iou: 0.2335 d2.dn_loss_cls: 0.1061 d2.dn_loss_bbox: 0.1532 d2.dn_loss_iou: 0.2070 d3.dn_loss_cls: 0.0978 d3.dn_loss_bbox: 0.1447 d3.dn_loss_iou: 0.1991 d4.dn_loss_cls: 0.0940 d4.dn_loss_bbox: 0.1425 d4.dn_loss_iou: 0.1970 d1.loss_lmm_region: 0.1846 loss_lmm_image: 0.9343 2024/11/02 16:27:07 - mmengine - INFO - Iter(train) [ 16100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:22:30 time: 1.0002 data_time: 0.0171 memory: 21162 grad_norm: 24.7038 loss: 9.4043 loss_cls: 0.2844 loss_bbox: 0.1319 loss_iou: 0.2145 d0.loss_cls: 0.3146 d0.loss_bbox: 0.1465 d0.loss_iou: 0.2327 d1.loss_cls: 0.3048 d1.loss_bbox: 0.1337 d1.loss_iou: 0.2191 d2.loss_cls: 0.2944 d2.loss_bbox: 0.1317 d2.loss_iou: 0.2161 d3.loss_cls: 0.2903 d3.loss_bbox: 0.1296 d3.loss_iou: 0.2133 d4.loss_cls: 0.2870 d4.loss_bbox: 0.1298 d4.loss_iou: 0.2142 enc_loss_cls: 0.3330 enc_loss_bbox: 0.1565 enc_loss_iou: 0.2525 dn_loss_cls: 0.1140 dn_loss_bbox: 0.1855 dn_loss_iou: 0.2192 d0.dn_loss_cls: 0.1932 d0.dn_loss_bbox: 0.3531 d0.dn_loss_iou: 0.3766 d1.dn_loss_cls: 0.1412 d1.dn_loss_bbox: 0.2189 d1.dn_loss_iou: 0.2547 d2.dn_loss_cls: 0.1247 d2.dn_loss_bbox: 0.1934 d2.dn_loss_iou: 0.2285 d3.dn_loss_cls: 0.1170 d3.dn_loss_bbox: 0.1872 d3.dn_loss_iou: 0.2207 d4.dn_loss_cls: 0.1134 d4.dn_loss_bbox: 0.1856 d4.dn_loss_iou: 0.2192 d1.loss_lmm_region: 0.1864 loss_lmm_image: 0.9412 2024/11/02 16:28:43 - mmengine - INFO - Iter(train) [ 16200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:20:41 time: 0.9574 data_time: 0.0167 memory: 20724 grad_norm: 22.0487 loss: 11.0225 loss_cls: 0.3550 loss_bbox: 0.1521 loss_iou: 0.3448 d0.loss_cls: 0.3977 d0.loss_bbox: 0.1674 d0.loss_iou: 0.3623 d1.loss_cls: 0.3784 d1.loss_bbox: 0.1595 d1.loss_iou: 0.3473 d2.loss_cls: 0.3678 d2.loss_bbox: 0.1535 d2.loss_iou: 0.3458 d3.loss_cls: 0.3618 d3.loss_bbox: 0.1510 d3.loss_iou: 0.3416 d4.loss_cls: 0.3586 d4.loss_bbox: 0.1506 d4.loss_iou: 0.3406 enc_loss_cls: 0.4054 enc_loss_bbox: 0.1887 enc_loss_iou: 0.3904 dn_loss_cls: 0.1147 dn_loss_bbox: 0.1710 dn_loss_iou: 0.2452 d0.dn_loss_cls: 0.1954 d0.dn_loss_bbox: 0.3104 d0.dn_loss_iou: 0.3970 d1.dn_loss_cls: 0.1434 d1.dn_loss_bbox: 0.2022 d1.dn_loss_iou: 0.2803 d2.dn_loss_cls: 0.1249 d2.dn_loss_bbox: 0.1776 d2.dn_loss_iou: 0.2545 d3.dn_loss_cls: 0.1177 d3.dn_loss_bbox: 0.1730 d3.dn_loss_iou: 0.2472 d4.dn_loss_cls: 0.1148 d4.dn_loss_bbox: 0.1711 d4.dn_loss_iou: 0.2453 d1.loss_lmm_region: 0.1905 loss_lmm_image: 0.9258 2024/11/02 16:30:22 - mmengine - INFO - Iter(train) [ 16300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:19:14 time: 0.9721 data_time: 0.0170 memory: 21341 grad_norm: 24.1426 loss: 10.2077 loss_cls: 0.3396 loss_bbox: 0.1393 loss_iou: 0.2775 d0.loss_cls: 0.3743 d0.loss_bbox: 0.1542 d0.loss_iou: 0.2959 d1.loss_cls: 0.3554 d1.loss_bbox: 0.1477 d1.loss_iou: 0.2808 d2.loss_cls: 0.3495 d2.loss_bbox: 0.1412 d2.loss_iou: 0.2797 d3.loss_cls: 0.3433 d3.loss_bbox: 0.1415 d3.loss_iou: 0.2779 d4.loss_cls: 0.3403 d4.loss_bbox: 0.1412 d4.loss_iou: 0.2782 enc_loss_cls: 0.3930 enc_loss_bbox: 0.1710 enc_loss_iou: 0.3202 dn_loss_cls: 0.1117 dn_loss_bbox: 0.1569 dn_loss_iou: 0.2255 d0.dn_loss_cls: 0.1978 d0.dn_loss_bbox: 0.3087 d0.dn_loss_iou: 0.3854 d1.dn_loss_cls: 0.1430 d1.dn_loss_bbox: 0.1904 d1.dn_loss_iou: 0.2633 d2.dn_loss_cls: 0.1259 d2.dn_loss_bbox: 0.1668 d2.dn_loss_iou: 0.2363 d3.dn_loss_cls: 0.1146 d3.dn_loss_bbox: 0.1573 d3.dn_loss_iou: 0.2272 d4.dn_loss_cls: 0.1128 d4.dn_loss_bbox: 0.1568 d4.dn_loss_iou: 0.2254 d1.loss_lmm_region: 0.1967 loss_lmm_image: 0.9637 2024/11/02 16:32:00 - mmengine - INFO - Iter(train) [ 16400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:17:32 time: 0.9764 data_time: 0.0167 memory: 20702 grad_norm: 23.1437 loss: 9.8841 loss_cls: 0.3157 loss_bbox: 0.1371 loss_iou: 0.2489 d0.loss_cls: 0.3561 d0.loss_bbox: 0.1408 d0.loss_iou: 0.2601 d1.loss_cls: 0.3328 d1.loss_bbox: 0.1431 d1.loss_iou: 0.2569 d2.loss_cls: 0.3244 d2.loss_bbox: 0.1412 d2.loss_iou: 0.2537 d3.loss_cls: 0.3268 d3.loss_bbox: 0.1342 d3.loss_iou: 0.2462 d4.loss_cls: 0.3197 d4.loss_bbox: 0.1364 d4.loss_iou: 0.2484 enc_loss_cls: 0.3664 enc_loss_bbox: 0.1551 enc_loss_iou: 0.2826 dn_loss_cls: 0.1198 dn_loss_bbox: 0.1556 dn_loss_iou: 0.2270 d0.dn_loss_cls: 0.2167 d0.dn_loss_bbox: 0.3290 d0.dn_loss_iou: 0.3926 d1.dn_loss_cls: 0.1558 d1.dn_loss_bbox: 0.1959 d1.dn_loss_iou: 0.2641 d2.dn_loss_cls: 0.1376 d2.dn_loss_bbox: 0.1667 d2.dn_loss_iou: 0.2370 d3.dn_loss_cls: 0.1262 d3.dn_loss_bbox: 0.1577 d3.dn_loss_iou: 0.2288 d4.dn_loss_cls: 0.1190 d4.dn_loss_bbox: 0.1556 d4.dn_loss_iou: 0.2271 d1.loss_lmm_region: 0.1987 loss_lmm_image: 0.9463 2024/11/02 16:33:38 - mmengine - INFO - Iter(train) [ 16500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:15:55 time: 0.9698 data_time: 0.0168 memory: 20847 grad_norm: 20.7637 loss: 9.0646 loss_cls: 0.2792 loss_bbox: 0.1277 loss_iou: 0.2264 d0.loss_cls: 0.3164 d0.loss_bbox: 0.1401 d0.loss_iou: 0.2382 d1.loss_cls: 0.3032 d1.loss_bbox: 0.1307 d1.loss_iou: 0.2305 d2.loss_cls: 0.2945 d2.loss_bbox: 0.1279 d2.loss_iou: 0.2269 d3.loss_cls: 0.2906 d3.loss_bbox: 0.1284 d3.loss_iou: 0.2258 d4.loss_cls: 0.2781 d4.loss_bbox: 0.1285 d4.loss_iou: 0.2271 enc_loss_cls: 0.3326 enc_loss_bbox: 0.1539 enc_loss_iou: 0.2627 dn_loss_cls: 0.0986 dn_loss_bbox: 0.1561 dn_loss_iou: 0.2068 d0.dn_loss_cls: 0.1803 d0.dn_loss_bbox: 0.3036 d0.dn_loss_iou: 0.3486 d1.dn_loss_cls: 0.1302 d1.dn_loss_bbox: 0.1844 d1.dn_loss_iou: 0.2374 d2.dn_loss_cls: 0.1115 d2.dn_loss_bbox: 0.1635 d2.dn_loss_iou: 0.2152 d3.dn_loss_cls: 0.1037 d3.dn_loss_bbox: 0.1568 d3.dn_loss_iou: 0.2079 d4.dn_loss_cls: 0.0985 d4.dn_loss_bbox: 0.1562 d4.dn_loss_iou: 0.2067 d1.loss_lmm_region: 0.1927 loss_lmm_image: 0.9365 2024/11/02 16:35:15 - mmengine - INFO - Iter(train) [ 16600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:14:17 time: 0.9846 data_time: 0.0169 memory: 20676 grad_norm: 22.2157 loss: 12.1077 loss_cls: 0.3738 loss_bbox: 0.1957 loss_iou: 0.3457 d0.loss_cls: 0.4055 d0.loss_bbox: 0.2130 d0.loss_iou: 0.3592 d1.loss_cls: 0.3897 d1.loss_bbox: 0.2007 d1.loss_iou: 0.3511 d2.loss_cls: 0.3857 d2.loss_bbox: 0.1964 d2.loss_iou: 0.3432 d3.loss_cls: 0.3729 d3.loss_bbox: 0.2004 d3.loss_iou: 0.3461 d4.loss_cls: 0.3720 d4.loss_bbox: 0.1986 d4.loss_iou: 0.3464 enc_loss_cls: 0.4232 enc_loss_bbox: 0.2249 enc_loss_iou: 0.3814 dn_loss_cls: 0.1504 dn_loss_bbox: 0.2103 dn_loss_iou: 0.2673 d0.dn_loss_cls: 0.2291 d0.dn_loss_bbox: 0.3741 d0.dn_loss_iou: 0.4162 d1.dn_loss_cls: 0.1849 d1.dn_loss_bbox: 0.2454 d1.dn_loss_iou: 0.3006 d2.dn_loss_cls: 0.1683 d2.dn_loss_bbox: 0.2177 d2.dn_loss_iou: 0.2751 d3.dn_loss_cls: 0.1584 d3.dn_loss_bbox: 0.2124 d3.dn_loss_iou: 0.2690 d4.dn_loss_cls: 0.1561 d4.dn_loss_bbox: 0.2103 d4.dn_loss_iou: 0.2673 d1.loss_lmm_region: 0.2473 loss_lmm_image: 0.9222 2024/11/02 16:36:53 - mmengine - INFO - Iter(train) [ 16700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:12:37 time: 0.9700 data_time: 0.0168 memory: 20909 grad_norm: 31.3051 loss: 10.2730 loss_cls: 0.3466 loss_bbox: 0.1280 loss_iou: 0.2489 d0.loss_cls: 0.3841 d0.loss_bbox: 0.1486 d0.loss_iou: 0.2667 d1.loss_cls: 0.3606 d1.loss_bbox: 0.1328 d1.loss_iou: 0.2525 d2.loss_cls: 0.3569 d2.loss_bbox: 0.1260 d2.loss_iou: 0.2464 d3.loss_cls: 0.3516 d3.loss_bbox: 0.1260 d3.loss_iou: 0.2456 d4.loss_cls: 0.3455 d4.loss_bbox: 0.1280 d4.loss_iou: 0.2477 enc_loss_cls: 0.3961 enc_loss_bbox: 0.1622 enc_loss_iou: 0.2918 dn_loss_cls: 0.1668 dn_loss_bbox: 0.1776 dn_loss_iou: 0.2124 d0.dn_loss_cls: 0.2309 d0.dn_loss_bbox: 0.3421 d0.dn_loss_iou: 0.3696 d1.dn_loss_cls: 0.1852 d1.dn_loss_bbox: 0.2163 d1.dn_loss_iou: 0.2505 d2.dn_loss_cls: 0.1699 d2.dn_loss_bbox: 0.1892 d2.dn_loss_iou: 0.2228 d3.dn_loss_cls: 0.1679 d3.dn_loss_bbox: 0.1792 d3.dn_loss_iou: 0.2140 d4.dn_loss_cls: 0.1687 d4.dn_loss_bbox: 0.1775 d4.dn_loss_iou: 0.2123 d1.loss_lmm_region: 0.1954 loss_lmm_image: 0.9321 2024/11/02 16:38:31 - mmengine - INFO - Iter(train) [ 16800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:11:01 time: 0.9882 data_time: 0.0169 memory: 20764 grad_norm: 23.8839 loss: 10.0714 loss_cls: 0.2989 loss_bbox: 0.1448 loss_iou: 0.2771 d0.loss_cls: 0.3294 d0.loss_bbox: 0.1556 d0.loss_iou: 0.2946 d1.loss_cls: 0.3160 d1.loss_bbox: 0.1492 d1.loss_iou: 0.2832 d2.loss_cls: 0.3084 d2.loss_bbox: 0.1466 d2.loss_iou: 0.2790 d3.loss_cls: 0.3068 d3.loss_bbox: 0.1426 d3.loss_iou: 0.2743 d4.loss_cls: 0.3010 d4.loss_bbox: 0.1437 d4.loss_iou: 0.2765 enc_loss_cls: 0.3531 enc_loss_bbox: 0.1724 enc_loss_iou: 0.3189 dn_loss_cls: 0.0992 dn_loss_bbox: 0.1856 dn_loss_iou: 0.2326 d0.dn_loss_cls: 0.1751 d0.dn_loss_bbox: 0.3422 d0.dn_loss_iou: 0.3829 d1.dn_loss_cls: 0.1288 d1.dn_loss_bbox: 0.2250 d1.dn_loss_iou: 0.2680 d2.dn_loss_cls: 0.1125 d2.dn_loss_bbox: 0.1953 d2.dn_loss_iou: 0.2417 d3.dn_loss_cls: 0.1056 d3.dn_loss_bbox: 0.1875 d3.dn_loss_iou: 0.2342 d4.dn_loss_cls: 0.1007 d4.dn_loss_bbox: 0.1856 d4.dn_loss_iou: 0.2325 d1.loss_lmm_region: 0.1988 loss_lmm_image: 0.9656 2024/11/02 16:40:08 - mmengine - INFO - Iter(train) [ 16900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:09:18 time: 0.9687 data_time: 0.0168 memory: 20951 grad_norm: 21.6531 loss: 9.6270 loss_cls: 0.2801 loss_bbox: 0.1292 loss_iou: 0.2410 d0.loss_cls: 0.3154 d0.loss_bbox: 0.1423 d0.loss_iou: 0.2571 d1.loss_cls: 0.2951 d1.loss_bbox: 0.1384 d1.loss_iou: 0.2486 d2.loss_cls: 0.2894 d2.loss_bbox: 0.1337 d2.loss_iou: 0.2448 d3.loss_cls: 0.2847 d3.loss_bbox: 0.1318 d3.loss_iou: 0.2432 d4.loss_cls: 0.2817 d4.loss_bbox: 0.1297 d4.loss_iou: 0.2398 enc_loss_cls: 0.3317 enc_loss_bbox: 0.1568 enc_loss_iou: 0.2766 dn_loss_cls: 0.1148 dn_loss_bbox: 0.1730 dn_loss_iou: 0.2390 d0.dn_loss_cls: 0.2081 d0.dn_loss_bbox: 0.3347 d0.dn_loss_iou: 0.4006 d1.dn_loss_cls: 0.1488 d1.dn_loss_bbox: 0.2143 d1.dn_loss_iou: 0.2775 d2.dn_loss_cls: 0.1307 d2.dn_loss_bbox: 0.1866 d2.dn_loss_iou: 0.2507 d3.dn_loss_cls: 0.1194 d3.dn_loss_bbox: 0.1751 d3.dn_loss_iou: 0.2413 d4.dn_loss_cls: 0.1169 d4.dn_loss_bbox: 0.1730 d4.dn_loss_iou: 0.2390 d1.loss_lmm_region: 0.2057 loss_lmm_image: 0.8864 2024/11/02 16:41:46 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 16:41:46 - mmengine - INFO - Iter(train) [ 17000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:07:43 time: 0.9846 data_time: 0.0169 memory: 21191 grad_norm: 22.2847 loss: 10.7191 loss_cls: 0.3350 loss_bbox: 0.1504 loss_iou: 0.3002 d0.loss_cls: 0.3667 d0.loss_bbox: 0.1658 d0.loss_iou: 0.3210 d1.loss_cls: 0.3508 d1.loss_bbox: 0.1548 d1.loss_iou: 0.3080 d2.loss_cls: 0.3442 d2.loss_bbox: 0.1524 d2.loss_iou: 0.3004 d3.loss_cls: 0.3427 d3.loss_bbox: 0.1516 d3.loss_iou: 0.3043 d4.loss_cls: 0.3362 d4.loss_bbox: 0.1515 d4.loss_iou: 0.3001 enc_loss_cls: 0.3905 enc_loss_bbox: 0.1784 enc_loss_iou: 0.3366 dn_loss_cls: 0.1127 dn_loss_bbox: 0.1774 dn_loss_iou: 0.2501 d0.dn_loss_cls: 0.1963 d0.dn_loss_bbox: 0.3501 d0.dn_loss_iou: 0.4140 d1.dn_loss_cls: 0.1451 d1.dn_loss_bbox: 0.2109 d1.dn_loss_iou: 0.2842 d2.dn_loss_cls: 0.1292 d2.dn_loss_bbox: 0.1866 d2.dn_loss_iou: 0.2582 d3.dn_loss_cls: 0.1190 d3.dn_loss_bbox: 0.1787 d3.dn_loss_iou: 0.2515 d4.dn_loss_cls: 0.1145 d4.dn_loss_bbox: 0.1775 d4.dn_loss_iou: 0.2501 d1.loss_lmm_region: 0.1993 loss_lmm_image: 0.9722 2024/11/02 16:43:23 - mmengine - INFO - Iter(train) [ 17100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:06:01 time: 0.9754 data_time: 0.0170 memory: 23007 grad_norm: 22.3878 loss: 9.9223 loss_cls: 0.2865 loss_bbox: 0.1490 loss_iou: 0.2472 d0.loss_cls: 0.3393 d0.loss_bbox: 0.1557 d0.loss_iou: 0.2584 d1.loss_cls: 0.3095 d1.loss_bbox: 0.1483 d1.loss_iou: 0.2481 d2.loss_cls: 0.3003 d2.loss_bbox: 0.1471 d2.loss_iou: 0.2476 d3.loss_cls: 0.2940 d3.loss_bbox: 0.1470 d3.loss_iou: 0.2455 d4.loss_cls: 0.2881 d4.loss_bbox: 0.1482 d4.loss_iou: 0.2474 enc_loss_cls: 0.3448 enc_loss_bbox: 0.1707 enc_loss_iou: 0.2779 dn_loss_cls: 0.1147 dn_loss_bbox: 0.1947 dn_loss_iou: 0.2260 d0.dn_loss_cls: 0.1981 d0.dn_loss_bbox: 0.3587 d0.dn_loss_iou: 0.3794 d1.dn_loss_cls: 0.1475 d1.dn_loss_bbox: 0.2286 d1.dn_loss_iou: 0.2593 d2.dn_loss_cls: 0.1323 d2.dn_loss_bbox: 0.2030 d2.dn_loss_iou: 0.2348 d3.dn_loss_cls: 0.1216 d3.dn_loss_bbox: 0.1957 d3.dn_loss_iou: 0.2272 d4.dn_loss_cls: 0.1169 d4.dn_loss_bbox: 0.1948 d4.dn_loss_iou: 0.2261 d1.loss_lmm_region: 0.1951 loss_lmm_image: 0.9672 2024/11/02 16:45:02 - mmengine - INFO - Iter(train) [ 17200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:04:31 time: 0.9836 data_time: 0.0168 memory: 20699 grad_norm: 21.5932 loss: 9.4601 loss_cls: 0.2911 loss_bbox: 0.1378 loss_iou: 0.2597 d0.loss_cls: 0.3340 d0.loss_bbox: 0.1479 d0.loss_iou: 0.2739 d1.loss_cls: 0.3133 d1.loss_bbox: 0.1364 d1.loss_iou: 0.2633 d2.loss_cls: 0.3064 d2.loss_bbox: 0.1382 d2.loss_iou: 0.2605 d3.loss_cls: 0.2963 d3.loss_bbox: 0.1379 d3.loss_iou: 0.2586 d4.loss_cls: 0.2915 d4.loss_bbox: 0.1377 d4.loss_iou: 0.2603 enc_loss_cls: 0.3445 enc_loss_bbox: 0.1635 enc_loss_iou: 0.3027 dn_loss_cls: 0.1022 dn_loss_bbox: 0.1549 dn_loss_iou: 0.2110 d0.dn_loss_cls: 0.1737 d0.dn_loss_bbox: 0.2924 d0.dn_loss_iou: 0.3530 d1.dn_loss_cls: 0.1287 d1.dn_loss_bbox: 0.1879 d1.dn_loss_iou: 0.2423 d2.dn_loss_cls: 0.1136 d2.dn_loss_bbox: 0.1633 d2.dn_loss_iou: 0.2187 d3.dn_loss_cls: 0.1064 d3.dn_loss_bbox: 0.1555 d3.dn_loss_iou: 0.2119 d4.dn_loss_cls: 0.1025 d4.dn_loss_bbox: 0.1549 d4.dn_loss_iou: 0.2109 d1.loss_lmm_region: 0.1742 loss_lmm_image: 0.9465 2024/11/02 16:46:40 - mmengine - INFO - Iter(train) [ 17300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:02:55 time: 0.9895 data_time: 0.0168 memory: 20640 grad_norm: 21.0315 loss: 9.4631 loss_cls: 0.2961 loss_bbox: 0.1258 loss_iou: 0.2420 d0.loss_cls: 0.3293 d0.loss_bbox: 0.1440 d0.loss_iou: 0.2655 d1.loss_cls: 0.3078 d1.loss_bbox: 0.1336 d1.loss_iou: 0.2525 d2.loss_cls: 0.3029 d2.loss_bbox: 0.1293 d2.loss_iou: 0.2431 d3.loss_cls: 0.2990 d3.loss_bbox: 0.1280 d3.loss_iou: 0.2433 d4.loss_cls: 0.2976 d4.loss_bbox: 0.1254 d4.loss_iou: 0.2416 enc_loss_cls: 0.3471 enc_loss_bbox: 0.1589 enc_loss_iou: 0.2897 dn_loss_cls: 0.1033 dn_loss_bbox: 0.1640 dn_loss_iou: 0.2169 d0.dn_loss_cls: 0.1787 d0.dn_loss_bbox: 0.3195 d0.dn_loss_iou: 0.3702 d1.dn_loss_cls: 0.1301 d1.dn_loss_bbox: 0.2002 d1.dn_loss_iou: 0.2527 d2.dn_loss_cls: 0.1162 d2.dn_loss_bbox: 0.1749 d2.dn_loss_iou: 0.2263 d3.dn_loss_cls: 0.1094 d3.dn_loss_bbox: 0.1653 d3.dn_loss_iou: 0.2184 d4.dn_loss_cls: 0.1064 d4.dn_loss_bbox: 0.1639 d4.dn_loss_iou: 0.2166 d1.loss_lmm_region: 0.1800 loss_lmm_image: 0.9475 2024/11/02 16:48:18 - mmengine - INFO - Iter(train) [ 17400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:01:18 time: 0.9691 data_time: 0.0169 memory: 21590 grad_norm: 27.2236 loss: 11.3305 loss_cls: 0.3639 loss_bbox: 0.1848 loss_iou: 0.3324 d0.loss_cls: 0.3998 d0.loss_bbox: 0.2042 d0.loss_iou: 0.3497 d1.loss_cls: 0.3828 d1.loss_bbox: 0.1878 d1.loss_iou: 0.3382 d2.loss_cls: 0.3747 d2.loss_bbox: 0.1872 d2.loss_iou: 0.3352 d3.loss_cls: 0.3678 d3.loss_bbox: 0.1868 d3.loss_iou: 0.3337 d4.loss_cls: 0.3628 d4.loss_bbox: 0.1845 d4.loss_iou: 0.3317 enc_loss_cls: 0.4190 enc_loss_bbox: 0.2098 enc_loss_iou: 0.3710 dn_loss_cls: 0.1088 dn_loss_bbox: 0.1916 dn_loss_iou: 0.2473 d0.dn_loss_cls: 0.1999 d0.dn_loss_bbox: 0.3557 d0.dn_loss_iou: 0.4082 d1.dn_loss_cls: 0.1408 d1.dn_loss_bbox: 0.2304 d1.dn_loss_iou: 0.2848 d2.dn_loss_cls: 0.1218 d2.dn_loss_bbox: 0.2011 d2.dn_loss_iou: 0.2570 d3.dn_loss_cls: 0.1160 d3.dn_loss_bbox: 0.1926 d3.dn_loss_iou: 0.2488 d4.dn_loss_cls: 0.1109 d4.dn_loss_bbox: 0.1917 d4.dn_loss_iou: 0.2470 d1.loss_lmm_region: 0.2060 loss_lmm_image: 0.8624 2024/11/02 16:49:57 - mmengine - INFO - Iter(train) [ 17500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:59:44 time: 1.0041 data_time: 0.0171 memory: 20321 grad_norm: 25.3719 loss: 10.9616 loss_cls: 0.3498 loss_bbox: 0.1700 loss_iou: 0.2993 d0.loss_cls: 0.3899 d0.loss_bbox: 0.1841 d0.loss_iou: 0.3199 d1.loss_cls: 0.3746 d1.loss_bbox: 0.1708 d1.loss_iou: 0.3041 d2.loss_cls: 0.3592 d2.loss_bbox: 0.1689 d2.loss_iou: 0.3029 d3.loss_cls: 0.3563 d3.loss_bbox: 0.1680 d3.loss_iou: 0.2965 d4.loss_cls: 0.3533 d4.loss_bbox: 0.1689 d4.loss_iou: 0.2988 enc_loss_cls: 0.4027 enc_loss_bbox: 0.2083 enc_loss_iou: 0.3498 dn_loss_cls: 0.1100 dn_loss_bbox: 0.1959 dn_loss_iou: 0.2430 d0.dn_loss_cls: 0.1995 d0.dn_loss_bbox: 0.3670 d0.dn_loss_iou: 0.4006 d1.dn_loss_cls: 0.1442 d1.dn_loss_bbox: 0.2343 d1.dn_loss_iou: 0.2797 d2.dn_loss_cls: 0.1268 d2.dn_loss_bbox: 0.2060 d2.dn_loss_iou: 0.2527 d3.dn_loss_cls: 0.1163 d3.dn_loss_bbox: 0.1975 d3.dn_loss_iou: 0.2441 d4.dn_loss_cls: 0.1111 d4.dn_loss_bbox: 0.1960 d4.dn_loss_iou: 0.2430 d1.loss_lmm_region: 0.2068 loss_lmm_image: 0.8908 2024/11/02 16:51:34 - mmengine - INFO - Iter(train) [ 17600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:58:03 time: 0.9741 data_time: 0.0170 memory: 20632 grad_norm: 23.7181 loss: 10.4477 loss_cls: 0.3283 loss_bbox: 0.1371 loss_iou: 0.2650 d0.loss_cls: 0.3717 d0.loss_bbox: 0.1527 d0.loss_iou: 0.2797 d1.loss_cls: 0.3509 d1.loss_bbox: 0.1442 d1.loss_iou: 0.2719 d2.loss_cls: 0.3411 d2.loss_bbox: 0.1391 d2.loss_iou: 0.2656 d3.loss_cls: 0.3370 d3.loss_bbox: 0.1372 d3.loss_iou: 0.2626 d4.loss_cls: 0.3316 d4.loss_bbox: 0.1365 d4.loss_iou: 0.2631 enc_loss_cls: 0.3832 enc_loss_bbox: 0.1726 enc_loss_iou: 0.3070 dn_loss_cls: 0.1427 dn_loss_bbox: 0.1802 dn_loss_iou: 0.2283 d0.dn_loss_cls: 0.2336 d0.dn_loss_bbox: 0.3680 d0.dn_loss_iou: 0.4007 d1.dn_loss_cls: 0.1746 d1.dn_loss_bbox: 0.2220 d1.dn_loss_iou: 0.2678 d2.dn_loss_cls: 0.1601 d2.dn_loss_bbox: 0.1915 d2.dn_loss_iou: 0.2383 d3.dn_loss_cls: 0.1510 d3.dn_loss_bbox: 0.1811 d3.dn_loss_iou: 0.2292 d4.dn_loss_cls: 0.1396 d4.dn_loss_bbox: 0.1802 d4.dn_loss_iou: 0.2282 d1.loss_lmm_region: 0.1938 loss_lmm_image: 0.9588 2024/11/02 16:53:12 - mmengine - INFO - Iter(train) [ 17700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:56:31 time: 0.9744 data_time: 0.0171 memory: 20861 grad_norm: 27.1734 loss: 10.6309 loss_cls: 0.3405 loss_bbox: 0.1651 loss_iou: 0.2931 d0.loss_cls: 0.3838 d0.loss_bbox: 0.1831 d0.loss_iou: 0.3118 d1.loss_cls: 0.3580 d1.loss_bbox: 0.1723 d1.loss_iou: 0.2959 d2.loss_cls: 0.3516 d2.loss_bbox: 0.1638 d2.loss_iou: 0.2921 d3.loss_cls: 0.3445 d3.loss_bbox: 0.1654 d3.loss_iou: 0.2929 d4.loss_cls: 0.3424 d4.loss_bbox: 0.1655 d4.loss_iou: 0.2939 enc_loss_cls: 0.3907 enc_loss_bbox: 0.2071 enc_loss_iou: 0.3406 dn_loss_cls: 0.0938 dn_loss_bbox: 0.1822 dn_loss_iou: 0.2438 d0.dn_loss_cls: 0.1918 d0.dn_loss_bbox: 0.3239 d0.dn_loss_iou: 0.4047 d1.dn_loss_cls: 0.1266 d1.dn_loss_bbox: 0.2104 d1.dn_loss_iou: 0.2819 d2.dn_loss_cls: 0.1118 d2.dn_loss_bbox: 0.1883 d2.dn_loss_iou: 0.2525 d3.dn_loss_cls: 0.0986 d3.dn_loss_bbox: 0.1831 d3.dn_loss_iou: 0.2452 d4.dn_loss_cls: 0.0949 d4.dn_loss_bbox: 0.1821 d4.dn_loss_iou: 0.2438 d1.loss_lmm_region: 0.1920 loss_lmm_image: 0.9252 2024/11/02 16:54:49 - mmengine - INFO - Iter(train) [ 17800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:54:42 time: 0.9613 data_time: 0.0168 memory: 20003 grad_norm: 20.7295 loss: 8.5310 loss_cls: 0.2596 loss_bbox: 0.1096 loss_iou: 0.2139 d0.loss_cls: 0.2889 d0.loss_bbox: 0.1243 d0.loss_iou: 0.2328 d1.loss_cls: 0.2747 d1.loss_bbox: 0.1167 d1.loss_iou: 0.2202 d2.loss_cls: 0.2658 d2.loss_bbox: 0.1126 d2.loss_iou: 0.2164 d3.loss_cls: 0.2626 d3.loss_bbox: 0.1109 d3.loss_iou: 0.2142 d4.loss_cls: 0.2598 d4.loss_bbox: 0.1102 d4.loss_iou: 0.2139 enc_loss_cls: 0.3010 enc_loss_bbox: 0.1385 enc_loss_iou: 0.2543 dn_loss_cls: 0.0897 dn_loss_bbox: 0.1398 dn_loss_iou: 0.1999 d0.dn_loss_cls: 0.1717 d0.dn_loss_bbox: 0.2984 d0.dn_loss_iou: 0.3546 d1.dn_loss_cls: 0.1221 d1.dn_loss_bbox: 0.1764 d1.dn_loss_iou: 0.2373 d2.dn_loss_cls: 0.1056 d2.dn_loss_bbox: 0.1497 d2.dn_loss_iou: 0.2098 d3.dn_loss_cls: 0.0972 d3.dn_loss_bbox: 0.1410 d3.dn_loss_iou: 0.2013 d4.dn_loss_cls: 0.0921 d4.dn_loss_bbox: 0.1398 d4.dn_loss_iou: 0.2000 d1.loss_lmm_region: 0.1729 loss_lmm_image: 0.9307 2024/11/02 16:56:27 - mmengine - INFO - Iter(train) [ 17900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:53:10 time: 0.9734 data_time: 0.0170 memory: 20735 grad_norm: 21.0186 loss: 9.3042 loss_cls: 0.2991 loss_bbox: 0.1261 loss_iou: 0.2397 d0.loss_cls: 0.3445 d0.loss_bbox: 0.1373 d0.loss_iou: 0.2567 d1.loss_cls: 0.3184 d1.loss_bbox: 0.1294 d1.loss_iou: 0.2460 d2.loss_cls: 0.3110 d2.loss_bbox: 0.1273 d2.loss_iou: 0.2435 d3.loss_cls: 0.3095 d3.loss_bbox: 0.1240 d3.loss_iou: 0.2380 d4.loss_cls: 0.3034 d4.loss_bbox: 0.1257 d4.loss_iou: 0.2397 enc_loss_cls: 0.3634 enc_loss_bbox: 0.1471 enc_loss_iou: 0.2789 dn_loss_cls: 0.1076 dn_loss_bbox: 0.1546 dn_loss_iou: 0.2023 d0.dn_loss_cls: 0.1927 d0.dn_loss_bbox: 0.3086 d0.dn_loss_iou: 0.3478 d1.dn_loss_cls: 0.1403 d1.dn_loss_bbox: 0.1865 d1.dn_loss_iou: 0.2334 d2.dn_loss_cls: 0.1210 d2.dn_loss_bbox: 0.1597 d2.dn_loss_iou: 0.2095 d3.dn_loss_cls: 0.1122 d3.dn_loss_bbox: 0.1547 d3.dn_loss_iou: 0.2032 d4.dn_loss_cls: 0.1078 d4.dn_loss_bbox: 0.1546 d4.dn_loss_iou: 0.2021 d1.loss_lmm_region: 0.2145 loss_lmm_image: 0.8825 2024/11/02 16:58:06 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 16:58:06 - mmengine - INFO - Iter(train) [ 18000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:51:38 time: 0.9883 data_time: 0.0172 memory: 21439 grad_norm: 22.2618 loss: 9.9043 loss_cls: 0.3082 loss_bbox: 0.1420 loss_iou: 0.2344 d0.loss_cls: 0.3430 d0.loss_bbox: 0.1556 d0.loss_iou: 0.2546 d1.loss_cls: 0.3249 d1.loss_bbox: 0.1439 d1.loss_iou: 0.2365 d2.loss_cls: 0.3201 d2.loss_bbox: 0.1425 d2.loss_iou: 0.2340 d3.loss_cls: 0.3158 d3.loss_bbox: 0.1433 d3.loss_iou: 0.2341 d4.loss_cls: 0.3089 d4.loss_bbox: 0.1433 d4.loss_iou: 0.2352 enc_loss_cls: 0.3628 enc_loss_bbox: 0.1697 enc_loss_iou: 0.2737 dn_loss_cls: 0.1060 dn_loss_bbox: 0.1860 dn_loss_iou: 0.2349 d0.dn_loss_cls: 0.1982 d0.dn_loss_bbox: 0.3635 d0.dn_loss_iou: 0.3978 d1.dn_loss_cls: 0.1392 d1.dn_loss_bbox: 0.2253 d1.dn_loss_iou: 0.2719 d2.dn_loss_cls: 0.1219 d2.dn_loss_bbox: 0.1980 d2.dn_loss_iou: 0.2446 d3.dn_loss_cls: 0.1124 d3.dn_loss_bbox: 0.1883 d3.dn_loss_iou: 0.2367 d4.dn_loss_cls: 0.1068 d4.dn_loss_bbox: 0.1859 d4.dn_loss_iou: 0.2348 d1.loss_lmm_region: 0.1907 loss_lmm_image: 0.9346 2024/11/02 16:59:43 - mmengine - INFO - Iter(train) [ 18100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:49:56 time: 0.9679 data_time: 0.0170 memory: 21395 grad_norm: 21.2350 loss: 9.7188 loss_cls: 0.2947 loss_bbox: 0.1386 loss_iou: 0.2591 d0.loss_cls: 0.3379 d0.loss_bbox: 0.1535 d0.loss_iou: 0.2733 d1.loss_cls: 0.3224 d1.loss_bbox: 0.1443 d1.loss_iou: 0.2658 d2.loss_cls: 0.3103 d2.loss_bbox: 0.1390 d2.loss_iou: 0.2607 d3.loss_cls: 0.3074 d3.loss_bbox: 0.1374 d3.loss_iou: 0.2570 d4.loss_cls: 0.2973 d4.loss_bbox: 0.1392 d4.loss_iou: 0.2588 enc_loss_cls: 0.3490 enc_loss_bbox: 0.1668 enc_loss_iou: 0.2906 dn_loss_cls: 0.0939 dn_loss_bbox: 0.1808 dn_loss_iou: 0.2277 d0.dn_loss_cls: 0.1866 d0.dn_loss_bbox: 0.3394 d0.dn_loss_iou: 0.3825 d1.dn_loss_cls: 0.1270 d1.dn_loss_bbox: 0.2140 d1.dn_loss_iou: 0.2630 d2.dn_loss_cls: 0.1098 d2.dn_loss_bbox: 0.1898 d2.dn_loss_iou: 0.2371 d3.dn_loss_cls: 0.1010 d3.dn_loss_bbox: 0.1825 d3.dn_loss_iou: 0.2293 d4.dn_loss_cls: 0.0951 d4.dn_loss_bbox: 0.1808 d4.dn_loss_iou: 0.2277 d1.loss_lmm_region: 0.1884 loss_lmm_image: 0.8594 2024/11/02 17:01:22 - mmengine - INFO - Iter(train) [ 18200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:48:29 time: 0.9960 data_time: 0.0171 memory: 21164 grad_norm: 23.6730 loss: 9.7591 loss_cls: 0.3246 loss_bbox: 0.1152 loss_iou: 0.2162 d0.loss_cls: 0.3538 d0.loss_bbox: 0.1364 d0.loss_iou: 0.2343 d1.loss_cls: 0.3407 d1.loss_bbox: 0.1272 d1.loss_iou: 0.2273 d2.loss_cls: 0.3358 d2.loss_bbox: 0.1180 d2.loss_iou: 0.2176 d3.loss_cls: 0.3303 d3.loss_bbox: 0.1176 d3.loss_iou: 0.2155 d4.loss_cls: 0.3244 d4.loss_bbox: 0.1156 d4.loss_iou: 0.2152 enc_loss_cls: 0.3738 enc_loss_bbox: 0.1469 enc_loss_iou: 0.2547 dn_loss_cls: 0.1614 dn_loss_bbox: 0.1644 dn_loss_iou: 0.2085 d0.dn_loss_cls: 0.2361 d0.dn_loss_bbox: 0.3428 d0.dn_loss_iou: 0.3681 d1.dn_loss_cls: 0.2076 d1.dn_loss_bbox: 0.2073 d1.dn_loss_iou: 0.2484 d2.dn_loss_cls: 0.1781 d2.dn_loss_bbox: 0.1746 d2.dn_loss_iou: 0.2184 d3.dn_loss_cls: 0.1725 d3.dn_loss_bbox: 0.1666 d3.dn_loss_iou: 0.2104 d4.dn_loss_cls: 0.1588 d4.dn_loss_bbox: 0.1643 d4.dn_loss_iou: 0.2085 d1.loss_lmm_region: 0.1877 loss_lmm_image: 0.9336 2024/11/02 17:03:00 - mmengine - INFO - Iter(train) [ 18300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:46:46 time: 0.9729 data_time: 0.0171 memory: 21875 grad_norm: 23.6646 loss: 9.6068 loss_cls: 0.2885 loss_bbox: 0.1445 loss_iou: 0.2431 d0.loss_cls: 0.3209 d0.loss_bbox: 0.1623 d0.loss_iou: 0.2680 d1.loss_cls: 0.3091 d1.loss_bbox: 0.1491 d1.loss_iou: 0.2510 d2.loss_cls: 0.3019 d2.loss_bbox: 0.1444 d2.loss_iou: 0.2438 d3.loss_cls: 0.2944 d3.loss_bbox: 0.1420 d3.loss_iou: 0.2426 d4.loss_cls: 0.2932 d4.loss_bbox: 0.1429 d4.loss_iou: 0.2419 enc_loss_cls: 0.3321 enc_loss_bbox: 0.1796 enc_loss_iou: 0.2893 dn_loss_cls: 0.0830 dn_loss_bbox: 0.1889 dn_loss_iou: 0.2283 d0.dn_loss_cls: 0.1687 d0.dn_loss_bbox: 0.3442 d0.dn_loss_iou: 0.3783 d1.dn_loss_cls: 0.1160 d1.dn_loss_bbox: 0.2277 d1.dn_loss_iou: 0.2630 d2.dn_loss_cls: 0.0990 d2.dn_loss_bbox: 0.1992 d2.dn_loss_iou: 0.2371 d3.dn_loss_cls: 0.0908 d3.dn_loss_bbox: 0.1913 d3.dn_loss_iou: 0.2296 d4.dn_loss_cls: 0.0855 d4.dn_loss_bbox: 0.1889 d4.dn_loss_iou: 0.2281 d1.loss_lmm_region: 0.1894 loss_lmm_image: 0.8851 2024/11/02 17:04:38 - mmengine - INFO - Iter(train) [ 18400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:45:14 time: 0.9928 data_time: 0.0169 memory: 21494 grad_norm: 20.7158 loss: 10.4927 loss_cls: 0.3139 loss_bbox: 0.1491 loss_iou: 0.2711 d0.loss_cls: 0.3434 d0.loss_bbox: 0.1649 d0.loss_iou: 0.2905 d1.loss_cls: 0.3261 d1.loss_bbox: 0.1574 d1.loss_iou: 0.2813 d2.loss_cls: 0.3213 d2.loss_bbox: 0.1487 d2.loss_iou: 0.2708 d3.loss_cls: 0.3154 d3.loss_bbox: 0.1492 d3.loss_iou: 0.2713 d4.loss_cls: 0.3144 d4.loss_bbox: 0.1481 d4.loss_iou: 0.2693 enc_loss_cls: 0.3585 enc_loss_bbox: 0.1764 enc_loss_iou: 0.3058 dn_loss_cls: 0.1134 dn_loss_bbox: 0.1986 dn_loss_iou: 0.2637 d0.dn_loss_cls: 0.2058 d0.dn_loss_bbox: 0.3594 d0.dn_loss_iou: 0.4235 d1.dn_loss_cls: 0.1490 d1.dn_loss_bbox: 0.2355 d1.dn_loss_iou: 0.2984 d2.dn_loss_cls: 0.1304 d2.dn_loss_bbox: 0.2058 d2.dn_loss_iou: 0.2709 d3.dn_loss_cls: 0.1199 d3.dn_loss_bbox: 0.1996 d3.dn_loss_iou: 0.2650 d4.dn_loss_cls: 0.1143 d4.dn_loss_bbox: 0.1986 d4.dn_loss_iou: 0.2637 d1.loss_lmm_region: 0.2272 loss_lmm_image: 0.9034 2024/11/02 17:06:16 - mmengine - INFO - Iter(train) [ 18500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:43:36 time: 0.9782 data_time: 0.0171 memory: 22175 grad_norm: 21.8997 loss: 9.8681 loss_cls: 0.3295 loss_bbox: 0.1365 loss_iou: 0.2621 d0.loss_cls: 0.3483 d0.loss_bbox: 0.1598 d0.loss_iou: 0.2890 d1.loss_cls: 0.3380 d1.loss_bbox: 0.1445 d1.loss_iou: 0.2757 d2.loss_cls: 0.3337 d2.loss_bbox: 0.1413 d2.loss_iou: 0.2655 d3.loss_cls: 0.3308 d3.loss_bbox: 0.1385 d3.loss_iou: 0.2615 d4.loss_cls: 0.3255 d4.loss_bbox: 0.1401 d4.loss_iou: 0.2643 enc_loss_cls: 0.3692 enc_loss_bbox: 0.1721 enc_loss_iou: 0.3142 dn_loss_cls: 0.0869 dn_loss_bbox: 0.1665 dn_loss_iou: 0.2221 d0.dn_loss_cls: 0.1834 d0.dn_loss_bbox: 0.3200 d0.dn_loss_iou: 0.3744 d1.dn_loss_cls: 0.1259 d1.dn_loss_bbox: 0.2022 d1.dn_loss_iou: 0.2584 d2.dn_loss_cls: 0.1027 d2.dn_loss_bbox: 0.1761 d2.dn_loss_iou: 0.2322 d3.dn_loss_cls: 0.0927 d3.dn_loss_bbox: 0.1683 d3.dn_loss_iou: 0.2238 d4.dn_loss_cls: 0.0886 d4.dn_loss_bbox: 0.1665 d4.dn_loss_iou: 0.2223 d1.loss_lmm_region: 0.1760 loss_lmm_image: 0.9390 2024/11/02 17:07:55 - mmengine - INFO - Iter(train) [ 18600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:42:08 time: 0.9755 data_time: 0.0170 memory: 21357 grad_norm: 22.8322 loss: 9.4009 loss_cls: 0.2880 loss_bbox: 0.1279 loss_iou: 0.2157 d0.loss_cls: 0.3221 d0.loss_bbox: 0.1421 d0.loss_iou: 0.2314 d1.loss_cls: 0.3036 d1.loss_bbox: 0.1374 d1.loss_iou: 0.2219 d2.loss_cls: 0.2972 d2.loss_bbox: 0.1291 d2.loss_iou: 0.2174 d3.loss_cls: 0.2949 d3.loss_bbox: 0.1252 d3.loss_iou: 0.2135 d4.loss_cls: 0.2901 d4.loss_bbox: 0.1260 d4.loss_iou: 0.2146 enc_loss_cls: 0.3336 enc_loss_bbox: 0.1557 enc_loss_iou: 0.2546 dn_loss_cls: 0.1076 dn_loss_bbox: 0.1787 dn_loss_iou: 0.2202 d0.dn_loss_cls: 0.1979 d0.dn_loss_bbox: 0.3585 d0.dn_loss_iou: 0.3896 d1.dn_loss_cls: 0.1371 d1.dn_loss_bbox: 0.2154 d1.dn_loss_iou: 0.2581 d2.dn_loss_cls: 0.1214 d2.dn_loss_bbox: 0.1872 d2.dn_loss_iou: 0.2293 d3.dn_loss_cls: 0.1127 d3.dn_loss_bbox: 0.1787 d3.dn_loss_iou: 0.2214 d4.dn_loss_cls: 0.1087 d4.dn_loss_bbox: 0.1787 d4.dn_loss_iou: 0.2202 d1.loss_lmm_region: 0.1884 loss_lmm_image: 0.9491 2024/11/02 17:09:33 - mmengine - INFO - Iter(train) [ 18700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:40:32 time: 0.9801 data_time: 0.0170 memory: 20828 grad_norm: 23.2186 loss: 9.9970 loss_cls: 0.2982 loss_bbox: 0.1347 loss_iou: 0.2122 d0.loss_cls: 0.3304 d0.loss_bbox: 0.1502 d0.loss_iou: 0.2290 d1.loss_cls: 0.3116 d1.loss_bbox: 0.1385 d1.loss_iou: 0.2185 d2.loss_cls: 0.3084 d2.loss_bbox: 0.1361 d2.loss_iou: 0.2153 d3.loss_cls: 0.3045 d3.loss_bbox: 0.1326 d3.loss_iou: 0.2110 d4.loss_cls: 0.3011 d4.loss_bbox: 0.1339 d4.loss_iou: 0.2133 enc_loss_cls: 0.3498 enc_loss_bbox: 0.1601 enc_loss_iou: 0.2468 dn_loss_cls: 0.1201 dn_loss_bbox: 0.2147 dn_loss_iou: 0.2354 d0.dn_loss_cls: 0.2202 d0.dn_loss_bbox: 0.3933 d0.dn_loss_iou: 0.3989 d1.dn_loss_cls: 0.1616 d1.dn_loss_bbox: 0.2580 d1.dn_loss_iou: 0.2735 d2.dn_loss_cls: 0.1422 d2.dn_loss_bbox: 0.2234 d2.dn_loss_iou: 0.2457 d3.dn_loss_cls: 0.1291 d3.dn_loss_bbox: 0.2166 d3.dn_loss_iou: 0.2369 d4.dn_loss_cls: 0.1231 d4.dn_loss_bbox: 0.2146 d4.dn_loss_iou: 0.2355 d1.loss_lmm_region: 0.2285 loss_lmm_image: 0.9895 2024/11/02 17:11:11 - mmengine - INFO - Iter(train) [ 18800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:38:54 time: 0.9690 data_time: 0.0170 memory: 20624 grad_norm: 23.8078 loss: 9.8030 loss_cls: 0.3243 loss_bbox: 0.1435 loss_iou: 0.2470 d0.loss_cls: 0.3539 d0.loss_bbox: 0.1583 d0.loss_iou: 0.2662 d1.loss_cls: 0.3364 d1.loss_bbox: 0.1484 d1.loss_iou: 0.2532 d2.loss_cls: 0.3299 d2.loss_bbox: 0.1426 d2.loss_iou: 0.2469 d3.loss_cls: 0.3257 d3.loss_bbox: 0.1430 d3.loss_iou: 0.2468 d4.loss_cls: 0.3214 d4.loss_bbox: 0.1461 d4.loss_iou: 0.2471 enc_loss_cls: 0.3706 enc_loss_bbox: 0.1738 enc_loss_iou: 0.2865 dn_loss_cls: 0.0892 dn_loss_bbox: 0.1844 dn_loss_iou: 0.2182 d0.dn_loss_cls: 0.1792 d0.dn_loss_bbox: 0.3344 d0.dn_loss_iou: 0.3577 d1.dn_loss_cls: 0.1224 d1.dn_loss_bbox: 0.2198 d1.dn_loss_iou: 0.2518 d2.dn_loss_cls: 0.1059 d2.dn_loss_bbox: 0.1952 d2.dn_loss_iou: 0.2259 d3.dn_loss_cls: 0.0958 d3.dn_loss_bbox: 0.1844 d3.dn_loss_iou: 0.2190 d4.dn_loss_cls: 0.0905 d4.dn_loss_bbox: 0.1844 d4.dn_loss_iou: 0.2180 d1.loss_lmm_region: 0.1905 loss_lmm_image: 0.9248 2024/11/02 17:12:49 - mmengine - INFO - Iter(train) [ 18900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:37:18 time: 0.9814 data_time: 0.0169 memory: 20553 grad_norm: 28.1186 loss: 9.7558 loss_cls: 0.3066 loss_bbox: 0.1431 loss_iou: 0.2425 d0.loss_cls: 0.3344 d0.loss_bbox: 0.1608 d0.loss_iou: 0.2646 d1.loss_cls: 0.3207 d1.loss_bbox: 0.1492 d1.loss_iou: 0.2491 d2.loss_cls: 0.3138 d2.loss_bbox: 0.1454 d2.loss_iou: 0.2467 d3.loss_cls: 0.3125 d3.loss_bbox: 0.1413 d3.loss_iou: 0.2417 d4.loss_cls: 0.3090 d4.loss_bbox: 0.1414 d4.loss_iou: 0.2410 enc_loss_cls: 0.3584 enc_loss_bbox: 0.1728 enc_loss_iou: 0.2864 dn_loss_cls: 0.0927 dn_loss_bbox: 0.1875 dn_loss_iou: 0.2141 d0.dn_loss_cls: 0.1758 d0.dn_loss_bbox: 0.3522 d0.dn_loss_iou: 0.3711 d1.dn_loss_cls: 0.1200 d1.dn_loss_bbox: 0.2197 d1.dn_loss_iou: 0.2474 d2.dn_loss_cls: 0.1038 d2.dn_loss_bbox: 0.1947 d2.dn_loss_iou: 0.2229 d3.dn_loss_cls: 0.0973 d3.dn_loss_bbox: 0.1878 d3.dn_loss_iou: 0.2150 d4.dn_loss_cls: 0.0937 d4.dn_loss_bbox: 0.1876 d4.dn_loss_iou: 0.2140 d1.loss_lmm_region: 0.2057 loss_lmm_image: 0.9715 2024/11/02 17:14:27 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 17:14:27 - mmengine - INFO - Iter(train) [ 19000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:35:39 time: 0.9782 data_time: 0.0169 memory: 21496 grad_norm: 21.9628 loss: 9.7506 loss_cls: 0.3133 loss_bbox: 0.1337 loss_iou: 0.2574 d0.loss_cls: 0.3432 d0.loss_bbox: 0.1428 d0.loss_iou: 0.2717 d1.loss_cls: 0.3286 d1.loss_bbox: 0.1365 d1.loss_iou: 0.2648 d2.loss_cls: 0.3171 d2.loss_bbox: 0.1374 d2.loss_iou: 0.2598 d3.loss_cls: 0.3136 d3.loss_bbox: 0.1343 d3.loss_iou: 0.2601 d4.loss_cls: 0.3130 d4.loss_bbox: 0.1345 d4.loss_iou: 0.2569 enc_loss_cls: 0.3515 enc_loss_bbox: 0.1571 enc_loss_iou: 0.2934 dn_loss_cls: 0.1333 dn_loss_bbox: 0.1581 dn_loss_iou: 0.2260 d0.dn_loss_cls: 0.2023 d0.dn_loss_bbox: 0.2935 d0.dn_loss_iou: 0.3744 d1.dn_loss_cls: 0.1600 d1.dn_loss_bbox: 0.1877 d1.dn_loss_iou: 0.2573 d2.dn_loss_cls: 0.1484 d2.dn_loss_bbox: 0.1631 d2.dn_loss_iou: 0.2325 d3.dn_loss_cls: 0.1388 d3.dn_loss_bbox: 0.1585 d3.dn_loss_iou: 0.2269 d4.dn_loss_cls: 0.1346 d4.dn_loss_bbox: 0.1580 d4.dn_loss_iou: 0.2260 d1.loss_lmm_region: 0.1669 loss_lmm_image: 0.8837 2024/11/02 17:16:05 - mmengine - INFO - Iter(train) [ 19100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:34:02 time: 0.9853 data_time: 0.0169 memory: 21569 grad_norm: 22.9151 loss: 9.1756 loss_cls: 0.2696 loss_bbox: 0.1297 loss_iou: 0.2522 d0.loss_cls: 0.2904 d0.loss_bbox: 0.1437 d0.loss_iou: 0.2692 d1.loss_cls: 0.2789 d1.loss_bbox: 0.1350 d1.loss_iou: 0.2586 d2.loss_cls: 0.2763 d2.loss_bbox: 0.1280 d2.loss_iou: 0.2517 d3.loss_cls: 0.2727 d3.loss_bbox: 0.1297 d3.loss_iou: 0.2512 d4.loss_cls: 0.2710 d4.loss_bbox: 0.1289 d4.loss_iou: 0.2511 enc_loss_cls: 0.3074 enc_loss_bbox: 0.1563 enc_loss_iou: 0.2907 dn_loss_cls: 0.0932 dn_loss_bbox: 0.1618 dn_loss_iou: 0.2264 d0.dn_loss_cls: 0.1634 d0.dn_loss_bbox: 0.3002 d0.dn_loss_iou: 0.3669 d1.dn_loss_cls: 0.1178 d1.dn_loss_bbox: 0.1903 d1.dn_loss_iou: 0.2579 d2.dn_loss_cls: 0.1028 d2.dn_loss_bbox: 0.1696 d2.dn_loss_iou: 0.2341 d3.dn_loss_cls: 0.0972 d3.dn_loss_bbox: 0.1622 d3.dn_loss_iou: 0.2274 d4.dn_loss_cls: 0.0932 d4.dn_loss_bbox: 0.1617 d4.dn_loss_iou: 0.2263 d1.loss_lmm_region: 0.1710 loss_lmm_image: 0.9101 2024/11/02 17:17:43 - mmengine - INFO - Iter(train) [ 19200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:32:25 time: 0.9853 data_time: 0.0169 memory: 20886 grad_norm: 21.7966 loss: 10.1949 loss_cls: 0.3414 loss_bbox: 0.1399 loss_iou: 0.2596 d0.loss_cls: 0.3683 d0.loss_bbox: 0.1543 d0.loss_iou: 0.2811 d1.loss_cls: 0.3547 d1.loss_bbox: 0.1451 d1.loss_iou: 0.2649 d2.loss_cls: 0.3486 d2.loss_bbox: 0.1440 d2.loss_iou: 0.2622 d3.loss_cls: 0.3467 d3.loss_bbox: 0.1390 d3.loss_iou: 0.2607 d4.loss_cls: 0.3415 d4.loss_bbox: 0.1392 d4.loss_iou: 0.2598 enc_loss_cls: 0.3869 enc_loss_bbox: 0.1658 enc_loss_iou: 0.2961 dn_loss_cls: 0.1200 dn_loss_bbox: 0.1788 dn_loss_iou: 0.2336 d0.dn_loss_cls: 0.2091 d0.dn_loss_bbox: 0.3168 d0.dn_loss_iou: 0.3759 d1.dn_loss_cls: 0.1534 d1.dn_loss_bbox: 0.2097 d1.dn_loss_iou: 0.2651 d2.dn_loss_cls: 0.1372 d2.dn_loss_bbox: 0.1876 d2.dn_loss_iou: 0.2415 d3.dn_loss_cls: 0.1248 d3.dn_loss_bbox: 0.1797 d3.dn_loss_iou: 0.2349 d4.dn_loss_cls: 0.1208 d4.dn_loss_bbox: 0.1787 d4.dn_loss_iou: 0.2334 d1.loss_lmm_region: 0.2024 loss_lmm_image: 0.8917 2024/11/02 17:19:20 - mmengine - INFO - Iter(train) [ 19300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:30:47 time: 0.9702 data_time: 0.0168 memory: 20269 grad_norm: 22.4564 loss: 9.0630 loss_cls: 0.2693 loss_bbox: 0.1281 loss_iou: 0.2382 d0.loss_cls: 0.2967 d0.loss_bbox: 0.1456 d0.loss_iou: 0.2620 d1.loss_cls: 0.2839 d1.loss_bbox: 0.1312 d1.loss_iou: 0.2458 d2.loss_cls: 0.2778 d2.loss_bbox: 0.1288 d2.loss_iou: 0.2402 d3.loss_cls: 0.2738 d3.loss_bbox: 0.1298 d3.loss_iou: 0.2407 d4.loss_cls: 0.2701 d4.loss_bbox: 0.1282 d4.loss_iou: 0.2380 enc_loss_cls: 0.3139 enc_loss_bbox: 0.1562 enc_loss_iou: 0.2784 dn_loss_cls: 0.0994 dn_loss_bbox: 0.1530 dn_loss_iou: 0.2120 d0.dn_loss_cls: 0.1724 d0.dn_loss_bbox: 0.3078 d0.dn_loss_iou: 0.3678 d1.dn_loss_cls: 0.1254 d1.dn_loss_bbox: 0.1874 d1.dn_loss_iou: 0.2474 d2.dn_loss_cls: 0.1112 d2.dn_loss_bbox: 0.1609 d2.dn_loss_iou: 0.2216 d3.dn_loss_cls: 0.1049 d3.dn_loss_bbox: 0.1549 d3.dn_loss_iou: 0.2136 d4.dn_loss_cls: 0.1005 d4.dn_loss_bbox: 0.1528 d4.dn_loss_iou: 0.2118 d1.loss_lmm_region: 0.1662 loss_lmm_image: 0.9152 2024/11/02 17:20:58 - mmengine - INFO - Iter(train) [ 19400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:29:10 time: 0.9818 data_time: 0.0169 memory: 21748 grad_norm: 22.0519 loss: 9.8036 loss_cls: 0.2752 loss_bbox: 0.1372 loss_iou: 0.2352 d0.loss_cls: 0.3023 d0.loss_bbox: 0.1558 d0.loss_iou: 0.2542 d1.loss_cls: 0.2869 d1.loss_bbox: 0.1457 d1.loss_iou: 0.2433 d2.loss_cls: 0.2780 d2.loss_bbox: 0.1425 d2.loss_iou: 0.2391 d3.loss_cls: 0.2777 d3.loss_bbox: 0.1392 d3.loss_iou: 0.2359 d4.loss_cls: 0.2784 d4.loss_bbox: 0.1365 d4.loss_iou: 0.2337 enc_loss_cls: 0.3255 enc_loss_bbox: 0.1685 enc_loss_iou: 0.2735 dn_loss_cls: 0.1127 dn_loss_bbox: 0.1968 dn_loss_iou: 0.2374 d0.dn_loss_cls: 0.2109 d0.dn_loss_bbox: 0.3863 d0.dn_loss_iou: 0.4050 d1.dn_loss_cls: 0.1443 d1.dn_loss_bbox: 0.2392 d1.dn_loss_iou: 0.2767 d2.dn_loss_cls: 0.1272 d2.dn_loss_bbox: 0.2096 d2.dn_loss_iou: 0.2479 d3.dn_loss_cls: 0.1164 d3.dn_loss_bbox: 0.1987 d3.dn_loss_iou: 0.2389 d4.dn_loss_cls: 0.1127 d4.dn_loss_bbox: 0.1966 d4.dn_loss_iou: 0.2371 d1.loss_lmm_region: 0.2273 loss_lmm_image: 0.9175 2024/11/02 17:22:36 - mmengine - INFO - Iter(train) [ 19500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:27:34 time: 0.9726 data_time: 0.0168 memory: 19896 grad_norm: 22.2123 loss: 10.2474 loss_cls: 0.2986 loss_bbox: 0.1564 loss_iou: 0.2342 d0.loss_cls: 0.3397 d0.loss_bbox: 0.1691 d0.loss_iou: 0.2495 d1.loss_cls: 0.3185 d1.loss_bbox: 0.1624 d1.loss_iou: 0.2396 d2.loss_cls: 0.3138 d2.loss_bbox: 0.1542 d2.loss_iou: 0.2357 d3.loss_cls: 0.3083 d3.loss_bbox: 0.1525 d3.loss_iou: 0.2327 d4.loss_cls: 0.2996 d4.loss_bbox: 0.1562 d4.loss_iou: 0.2341 enc_loss_cls: 0.3525 enc_loss_bbox: 0.1910 enc_loss_iou: 0.2753 dn_loss_cls: 0.1107 dn_loss_bbox: 0.2202 dn_loss_iou: 0.2412 d0.dn_loss_cls: 0.2191 d0.dn_loss_bbox: 0.4159 d0.dn_loss_iou: 0.4074 d1.dn_loss_cls: 0.1510 d1.dn_loss_bbox: 0.2621 d1.dn_loss_iou: 0.2801 d2.dn_loss_cls: 0.1301 d2.dn_loss_bbox: 0.2322 d2.dn_loss_iou: 0.2511 d3.dn_loss_cls: 0.1159 d3.dn_loss_bbox: 0.2222 d3.dn_loss_iou: 0.2432 d4.dn_loss_cls: 0.1113 d4.dn_loss_bbox: 0.2202 d4.dn_loss_iou: 0.2412 d1.loss_lmm_region: 0.2250 loss_lmm_image: 0.8733 2024/11/02 17:24:14 - mmengine - INFO - Iter(train) [ 19600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:25:57 time: 0.9816 data_time: 0.0171 memory: 20725 grad_norm: 21.0928 loss: 9.4620 loss_cls: 0.2851 loss_bbox: 0.1370 loss_iou: 0.2534 d0.loss_cls: 0.3091 d0.loss_bbox: 0.1485 d0.loss_iou: 0.2707 d1.loss_cls: 0.2908 d1.loss_bbox: 0.1432 d1.loss_iou: 0.2609 d2.loss_cls: 0.2919 d2.loss_bbox: 0.1375 d2.loss_iou: 0.2538 d3.loss_cls: 0.2894 d3.loss_bbox: 0.1385 d3.loss_iou: 0.2555 d4.loss_cls: 0.2864 d4.loss_bbox: 0.1371 d4.loss_iou: 0.2533 enc_loss_cls: 0.3248 enc_loss_bbox: 0.1646 enc_loss_iou: 0.2912 dn_loss_cls: 0.0926 dn_loss_bbox: 0.1707 dn_loss_iou: 0.2265 d0.dn_loss_cls: 0.1773 d0.dn_loss_bbox: 0.3277 d0.dn_loss_iou: 0.3776 d1.dn_loss_cls: 0.1264 d1.dn_loss_bbox: 0.2063 d1.dn_loss_iou: 0.2625 d2.dn_loss_cls: 0.1074 d2.dn_loss_bbox: 0.1797 d2.dn_loss_iou: 0.2359 d3.dn_loss_cls: 0.0968 d3.dn_loss_bbox: 0.1717 d3.dn_loss_iou: 0.2280 d4.dn_loss_cls: 0.0927 d4.dn_loss_bbox: 0.1707 d4.dn_loss_iou: 0.2266 d1.loss_lmm_region: 0.1721 loss_lmm_image: 0.8901 2024/11/02 17:25:52 - mmengine - INFO - Iter(train) [ 19700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:24:19 time: 0.9818 data_time: 0.0170 memory: 20726 grad_norm: 24.0680 loss: 11.1023 loss_cls: 0.3209 loss_bbox: 0.1903 loss_iou: 0.3242 d0.loss_cls: 0.3517 d0.loss_bbox: 0.2079 d0.loss_iou: 0.3477 d1.loss_cls: 0.3348 d1.loss_bbox: 0.1962 d1.loss_iou: 0.3342 d2.loss_cls: 0.3328 d2.loss_bbox: 0.1892 d2.loss_iou: 0.3269 d3.loss_cls: 0.3263 d3.loss_bbox: 0.1872 d3.loss_iou: 0.3263 d4.loss_cls: 0.3234 d4.loss_bbox: 0.1876 d4.loss_iou: 0.3234 enc_loss_cls: 0.3758 enc_loss_bbox: 0.2252 enc_loss_iou: 0.3702 dn_loss_cls: 0.1077 dn_loss_bbox: 0.1963 dn_loss_iou: 0.2490 d0.dn_loss_cls: 0.1997 d0.dn_loss_bbox: 0.3601 d0.dn_loss_iou: 0.4087 d1.dn_loss_cls: 0.1373 d1.dn_loss_bbox: 0.2302 d1.dn_loss_iou: 0.2836 d2.dn_loss_cls: 0.1199 d2.dn_loss_bbox: 0.2032 d2.dn_loss_iou: 0.2576 d3.dn_loss_cls: 0.1132 d3.dn_loss_bbox: 0.1973 d3.dn_loss_iou: 0.2503 d4.dn_loss_cls: 0.1093 d4.dn_loss_bbox: 0.1963 d4.dn_loss_iou: 0.2489 d1.loss_lmm_region: 0.1836 loss_lmm_image: 0.9477 2024/11/02 17:27:30 - mmengine - INFO - Iter(train) [ 19800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:22:41 time: 0.9886 data_time: 0.0169 memory: 21679 grad_norm: 24.9352 loss: 8.6882 loss_cls: 0.2870 loss_bbox: 0.1184 loss_iou: 0.2142 d0.loss_cls: 0.3156 d0.loss_bbox: 0.1292 d0.loss_iou: 0.2278 d1.loss_cls: 0.2992 d1.loss_bbox: 0.1218 d1.loss_iou: 0.2179 d2.loss_cls: 0.2892 d2.loss_bbox: 0.1204 d2.loss_iou: 0.2168 d3.loss_cls: 0.2873 d3.loss_bbox: 0.1199 d3.loss_iou: 0.2158 d4.loss_cls: 0.2872 d4.loss_bbox: 0.1175 d4.loss_iou: 0.2130 enc_loss_cls: 0.3355 enc_loss_bbox: 0.1435 enc_loss_iou: 0.2492 dn_loss_cls: 0.0715 dn_loss_bbox: 0.1496 dn_loss_iou: 0.1969 d0.dn_loss_cls: 0.1579 d0.dn_loss_bbox: 0.3021 d0.dn_loss_iou: 0.3354 d1.dn_loss_cls: 0.1050 d1.dn_loss_bbox: 0.1904 d1.dn_loss_iou: 0.2306 d2.dn_loss_cls: 0.0850 d2.dn_loss_bbox: 0.1599 d2.dn_loss_iou: 0.2060 d3.dn_loss_cls: 0.0759 d3.dn_loss_bbox: 0.1519 d3.dn_loss_iou: 0.1987 d4.dn_loss_cls: 0.0718 d4.dn_loss_bbox: 0.1495 d4.dn_loss_iou: 0.1967 d1.loss_lmm_region: 0.2065 loss_lmm_image: 0.9202 2024/11/02 17:29:08 - mmengine - INFO - Iter(train) [ 19900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:21:05 time: 0.9778 data_time: 0.0170 memory: 21603 grad_norm: 23.5523 loss: 9.6273 loss_cls: 0.2925 loss_bbox: 0.1406 loss_iou: 0.2567 d0.loss_cls: 0.3195 d0.loss_bbox: 0.1520 d0.loss_iou: 0.2707 d1.loss_cls: 0.3095 d1.loss_bbox: 0.1436 d1.loss_iou: 0.2614 d2.loss_cls: 0.3037 d2.loss_bbox: 0.1384 d2.loss_iou: 0.2543 d3.loss_cls: 0.3026 d3.loss_bbox: 0.1365 d3.loss_iou: 0.2530 d4.loss_cls: 0.2974 d4.loss_bbox: 0.1381 d4.loss_iou: 0.2541 enc_loss_cls: 0.3352 enc_loss_bbox: 0.1665 enc_loss_iou: 0.2926 dn_loss_cls: 0.0977 dn_loss_bbox: 0.1793 dn_loss_iou: 0.2255 d0.dn_loss_cls: 0.1805 d0.dn_loss_bbox: 0.3392 d0.dn_loss_iou: 0.3822 d1.dn_loss_cls: 0.1264 d1.dn_loss_bbox: 0.2130 d1.dn_loss_iou: 0.2599 d2.dn_loss_cls: 0.1097 d2.dn_loss_bbox: 0.1865 d2.dn_loss_iou: 0.2337 d3.dn_loss_cls: 0.1003 d3.dn_loss_bbox: 0.1800 d3.dn_loss_iou: 0.2266 d4.dn_loss_cls: 0.0987 d4.dn_loss_bbox: 0.1791 d4.dn_loss_iou: 0.2254 d1.loss_lmm_region: 0.1738 loss_lmm_image: 0.8911 2024/11/02 17:30:46 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 17:30:46 - mmengine - INFO - Iter(train) [ 20000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:19:27 time: 0.9757 data_time: 0.0170 memory: 20948 grad_norm: 22.8460 loss: 9.5978 loss_cls: 0.2910 loss_bbox: 0.1381 loss_iou: 0.2248 d0.loss_cls: 0.3273 d0.loss_bbox: 0.1435 d0.loss_iou: 0.2371 d1.loss_cls: 0.3089 d1.loss_bbox: 0.1405 d1.loss_iou: 0.2296 d2.loss_cls: 0.3013 d2.loss_bbox: 0.1368 d2.loss_iou: 0.2266 d3.loss_cls: 0.3012 d3.loss_bbox: 0.1353 d3.loss_iou: 0.2234 d4.loss_cls: 0.2897 d4.loss_bbox: 0.1398 d4.loss_iou: 0.2254 enc_loss_cls: 0.3433 enc_loss_bbox: 0.1609 enc_loss_iou: 0.2584 dn_loss_cls: 0.1087 dn_loss_bbox: 0.1992 dn_loss_iou: 0.2142 d0.dn_loss_cls: 0.2004 d0.dn_loss_bbox: 0.3766 d0.dn_loss_iou: 0.3705 d1.dn_loss_cls: 0.1395 d1.dn_loss_bbox: 0.2406 d1.dn_loss_iou: 0.2508 d2.dn_loss_cls: 0.1220 d2.dn_loss_bbox: 0.2093 d2.dn_loss_iou: 0.2243 d3.dn_loss_cls: 0.1127 d3.dn_loss_bbox: 0.2008 d3.dn_loss_iou: 0.2156 d4.dn_loss_cls: 0.1085 d4.dn_loss_bbox: 0.1992 d4.dn_loss_iou: 0.2142 d1.loss_lmm_region: 0.2065 loss_lmm_image: 0.9012 2024/11/02 17:32:24 - mmengine - INFO - Iter(train) [ 20100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:17:53 time: 0.9659 data_time: 0.0170 memory: 21507 grad_norm: 21.8337 loss: 10.0216 loss_cls: 0.2955 loss_bbox: 0.1515 loss_iou: 0.2824 d0.loss_cls: 0.3255 d0.loss_bbox: 0.1674 d0.loss_iou: 0.3005 d1.loss_cls: 0.3121 d1.loss_bbox: 0.1582 d1.loss_iou: 0.2915 d2.loss_cls: 0.3042 d2.loss_bbox: 0.1530 d2.loss_iou: 0.2869 d3.loss_cls: 0.2978 d3.loss_bbox: 0.1546 d3.loss_iou: 0.2843 d4.loss_cls: 0.2946 d4.loss_bbox: 0.1534 d4.loss_iou: 0.2830 enc_loss_cls: 0.3445 enc_loss_bbox: 0.1811 enc_loss_iou: 0.3227 dn_loss_cls: 0.0839 dn_loss_bbox: 0.1729 dn_loss_iou: 0.2369 d0.dn_loss_cls: 0.1750 d0.dn_loss_bbox: 0.3459 d0.dn_loss_iou: 0.4015 d1.dn_loss_cls: 0.1155 d1.dn_loss_bbox: 0.2139 d1.dn_loss_iou: 0.2753 d2.dn_loss_cls: 0.0986 d2.dn_loss_bbox: 0.1830 d2.dn_loss_iou: 0.2464 d3.dn_loss_cls: 0.0876 d3.dn_loss_bbox: 0.1752 d3.dn_loss_iou: 0.2390 d4.dn_loss_cls: 0.0845 d4.dn_loss_bbox: 0.1728 d4.dn_loss_iou: 0.2369 d1.loss_lmm_region: 0.1978 loss_lmm_image: 0.9341 2024/11/02 17:34:02 - mmengine - INFO - Iter(train) [ 20200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:16:12 time: 0.9668 data_time: 0.0170 memory: 21014 grad_norm: 23.8417 loss: 9.7799 loss_cls: 0.2921 loss_bbox: 0.1420 loss_iou: 0.2753 d0.loss_cls: 0.3101 d0.loss_bbox: 0.1625 d0.loss_iou: 0.3015 d1.loss_cls: 0.3023 d1.loss_bbox: 0.1467 d1.loss_iou: 0.2885 d2.loss_cls: 0.2989 d2.loss_bbox: 0.1423 d2.loss_iou: 0.2785 d3.loss_cls: 0.2960 d3.loss_bbox: 0.1427 d3.loss_iou: 0.2771 d4.loss_cls: 0.2955 d4.loss_bbox: 0.1417 d4.loss_iou: 0.2757 enc_loss_cls: 0.3354 enc_loss_bbox: 0.1723 enc_loss_iou: 0.3198 dn_loss_cls: 0.0802 dn_loss_bbox: 0.1807 dn_loss_iou: 0.2398 d0.dn_loss_cls: 0.1654 d0.dn_loss_bbox: 0.3423 d0.dn_loss_iou: 0.3969 d1.dn_loss_cls: 0.1075 d1.dn_loss_bbox: 0.2138 d1.dn_loss_iou: 0.2725 d2.dn_loss_cls: 0.0926 d2.dn_loss_bbox: 0.1873 d2.dn_loss_iou: 0.2476 d3.dn_loss_cls: 0.0845 d3.dn_loss_bbox: 0.1820 d3.dn_loss_iou: 0.2413 d4.dn_loss_cls: 0.0800 d4.dn_loss_bbox: 0.1809 d4.dn_loss_iou: 0.2399 d1.loss_lmm_region: 0.1499 loss_lmm_image: 0.8979 2024/11/02 17:35:39 - mmengine - INFO - Iter(train) [ 20300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:14:34 time: 0.9795 data_time: 0.0174 memory: 22836 grad_norm: 22.1092 loss: 10.4067 loss_cls: 0.3354 loss_bbox: 0.1668 loss_iou: 0.2920 d0.loss_cls: 0.3940 d0.loss_bbox: 0.1736 d0.loss_iou: 0.3089 d1.loss_cls: 0.3646 d1.loss_bbox: 0.1681 d1.loss_iou: 0.2998 d2.loss_cls: 0.3544 d2.loss_bbox: 0.1645 d2.loss_iou: 0.2894 d3.loss_cls: 0.3412 d3.loss_bbox: 0.1691 d3.loss_iou: 0.2918 d4.loss_cls: 0.3371 d4.loss_bbox: 0.1656 d4.loss_iou: 0.2909 enc_loss_cls: 0.3880 enc_loss_bbox: 0.1986 enc_loss_iou: 0.3443 dn_loss_cls: 0.1025 dn_loss_bbox: 0.1683 dn_loss_iou: 0.2179 d0.dn_loss_cls: 0.1801 d0.dn_loss_bbox: 0.3217 d0.dn_loss_iou: 0.3665 d1.dn_loss_cls: 0.1252 d1.dn_loss_bbox: 0.2001 d1.dn_loss_iou: 0.2505 d2.dn_loss_cls: 0.1110 d2.dn_loss_bbox: 0.1750 d2.dn_loss_iou: 0.2258 d3.dn_loss_cls: 0.1058 d3.dn_loss_bbox: 0.1722 d3.dn_loss_iou: 0.2200 d4.dn_loss_cls: 0.1033 d4.dn_loss_bbox: 0.1686 d4.dn_loss_iou: 0.2178 d1.loss_lmm_region: 0.2100 loss_lmm_image: 0.9264 2024/11/02 17:37:17 - mmengine - INFO - Iter(train) [ 20400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:12:58 time: 0.9815 data_time: 0.0170 memory: 21202 grad_norm: 22.7484 loss: 10.1846 loss_cls: 0.3370 loss_bbox: 0.1499 loss_iou: 0.2554 d0.loss_cls: 0.3728 d0.loss_bbox: 0.1539 d0.loss_iou: 0.2742 d1.loss_cls: 0.3547 d1.loss_bbox: 0.1470 d1.loss_iou: 0.2611 d2.loss_cls: 0.3497 d2.loss_bbox: 0.1448 d2.loss_iou: 0.2576 d3.loss_cls: 0.3440 d3.loss_bbox: 0.1466 d3.loss_iou: 0.2563 d4.loss_cls: 0.3390 d4.loss_bbox: 0.1491 d4.loss_iou: 0.2564 enc_loss_cls: 0.3890 enc_loss_bbox: 0.1696 enc_loss_iou: 0.2955 dn_loss_cls: 0.1070 dn_loss_bbox: 0.1820 dn_loss_iou: 0.2187 d0.dn_loss_cls: 0.2027 d0.dn_loss_bbox: 0.3494 d0.dn_loss_iou: 0.3707 d1.dn_loss_cls: 0.1441 d1.dn_loss_bbox: 0.2194 d1.dn_loss_iou: 0.2529 d2.dn_loss_cls: 0.1245 d2.dn_loss_bbox: 0.1909 d2.dn_loss_iou: 0.2275 d3.dn_loss_cls: 0.1137 d3.dn_loss_bbox: 0.1834 d3.dn_loss_iou: 0.2202 d4.dn_loss_cls: 0.1088 d4.dn_loss_bbox: 0.1820 d4.dn_loss_iou: 0.2187 d1.loss_lmm_region: 0.2215 loss_lmm_image: 0.9426 2024/11/02 17:38:55 - mmengine - INFO - Iter(train) [ 20500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:11:21 time: 0.9916 data_time: 0.0171 memory: 21283 grad_norm: 25.1989 loss: 9.5408 loss_cls: 0.3032 loss_bbox: 0.1336 loss_iou: 0.2435 d0.loss_cls: 0.3245 d0.loss_bbox: 0.1529 d0.loss_iou: 0.2687 d1.loss_cls: 0.3130 d1.loss_bbox: 0.1422 d1.loss_iou: 0.2559 d2.loss_cls: 0.3097 d2.loss_bbox: 0.1336 d2.loss_iou: 0.2443 d3.loss_cls: 0.3062 d3.loss_bbox: 0.1343 d3.loss_iou: 0.2458 d4.loss_cls: 0.3060 d4.loss_bbox: 0.1333 d4.loss_iou: 0.2433 enc_loss_cls: 0.3449 enc_loss_bbox: 0.1633 enc_loss_iou: 0.2838 dn_loss_cls: 0.1144 dn_loss_bbox: 0.1614 dn_loss_iou: 0.2164 d0.dn_loss_cls: 0.1917 d0.dn_loss_bbox: 0.3067 d0.dn_loss_iou: 0.3616 d1.dn_loss_cls: 0.1437 d1.dn_loss_bbox: 0.1981 d1.dn_loss_iou: 0.2503 d2.dn_loss_cls: 0.1306 d2.dn_loss_bbox: 0.1699 d2.dn_loss_iou: 0.2249 d3.dn_loss_cls: 0.1201 d3.dn_loss_bbox: 0.1631 d3.dn_loss_iou: 0.2176 d4.dn_loss_cls: 0.1158 d4.dn_loss_bbox: 0.1615 d4.dn_loss_iou: 0.2165 d1.loss_lmm_region: 0.1597 loss_lmm_image: 0.9304 2024/11/02 17:40:34 - mmengine - INFO - Iter(train) [ 20600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:09:47 time: 0.9822 data_time: 0.0172 memory: 21712 grad_norm: 23.1262 loss: 8.7948 loss_cls: 0.2591 loss_bbox: 0.1252 loss_iou: 0.2200 d0.loss_cls: 0.2842 d0.loss_bbox: 0.1368 d0.loss_iou: 0.2336 d1.loss_cls: 0.2639 d1.loss_bbox: 0.1320 d1.loss_iou: 0.2274 d2.loss_cls: 0.2634 d2.loss_bbox: 0.1278 d2.loss_iou: 0.2209 d3.loss_cls: 0.2618 d3.loss_bbox: 0.1257 d3.loss_iou: 0.2199 d4.loss_cls: 0.2593 d4.loss_bbox: 0.1252 d4.loss_iou: 0.2203 enc_loss_cls: 0.3028 enc_loss_bbox: 0.1515 enc_loss_iou: 0.2518 dn_loss_cls: 0.0867 dn_loss_bbox: 0.1581 dn_loss_iou: 0.2187 d0.dn_loss_cls: 0.1782 d0.dn_loss_bbox: 0.3145 d0.dn_loss_iou: 0.3715 d1.dn_loss_cls: 0.1198 d1.dn_loss_bbox: 0.1889 d1.dn_loss_iou: 0.2505 d2.dn_loss_cls: 0.1039 d2.dn_loss_bbox: 0.1659 d2.dn_loss_iou: 0.2270 d3.dn_loss_cls: 0.0932 d3.dn_loss_bbox: 0.1591 d3.dn_loss_iou: 0.2198 d4.dn_loss_cls: 0.0879 d4.dn_loss_bbox: 0.1581 d4.dn_loss_iou: 0.2187 d1.loss_lmm_region: 0.1699 loss_lmm_image: 0.8917 2024/11/02 17:42:12 - mmengine - INFO - Iter(train) [ 20700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:08:12 time: 0.9746 data_time: 0.0170 memory: 21047 grad_norm: 22.7933 loss: 9.5833 loss_cls: 0.3052 loss_bbox: 0.1436 loss_iou: 0.2787 d0.loss_cls: 0.3275 d0.loss_bbox: 0.1636 d0.loss_iou: 0.3012 d1.loss_cls: 0.3200 d1.loss_bbox: 0.1465 d1.loss_iou: 0.2839 d2.loss_cls: 0.3114 d2.loss_bbox: 0.1468 d2.loss_iou: 0.2815 d3.loss_cls: 0.3070 d3.loss_bbox: 0.1447 d3.loss_iou: 0.2779 d4.loss_cls: 0.3074 d4.loss_bbox: 0.1426 d4.loss_iou: 0.2757 enc_loss_cls: 0.3493 enc_loss_bbox: 0.1712 enc_loss_iou: 0.3163 dn_loss_cls: 0.0936 dn_loss_bbox: 0.1442 dn_loss_iou: 0.2189 d0.dn_loss_cls: 0.1710 d0.dn_loss_bbox: 0.2680 d0.dn_loss_iou: 0.3602 d1.dn_loss_cls: 0.1194 d1.dn_loss_bbox: 0.1709 d1.dn_loss_iou: 0.2492 d2.dn_loss_cls: 0.1063 d2.dn_loss_bbox: 0.1497 d2.dn_loss_iou: 0.2267 d3.dn_loss_cls: 0.0991 d3.dn_loss_bbox: 0.1446 d3.dn_loss_iou: 0.2196 d4.dn_loss_cls: 0.0949 d4.dn_loss_bbox: 0.1441 d4.dn_loss_iou: 0.2187 d1.loss_lmm_region: 0.1762 loss_lmm_image: 0.9059 2024/11/02 17:43:50 - mmengine - INFO - Iter(train) [ 20800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:06:33 time: 0.9700 data_time: 0.0171 memory: 20554 grad_norm: 26.1257 loss: 11.9987 loss_cls: 0.4315 loss_bbox: 0.1863 loss_iou: 0.3496 d0.loss_cls: 0.4768 d0.loss_bbox: 0.1956 d0.loss_iou: 0.3604 d1.loss_cls: 0.4477 d1.loss_bbox: 0.1900 d1.loss_iou: 0.3549 d2.loss_cls: 0.4381 d2.loss_bbox: 0.1827 d2.loss_iou: 0.3499 d3.loss_cls: 0.4358 d3.loss_bbox: 0.1841 d3.loss_iou: 0.3495 d4.loss_cls: 0.4372 d4.loss_bbox: 0.1836 d4.loss_iou: 0.3484 enc_loss_cls: 0.4801 enc_loss_bbox: 0.2110 enc_loss_iou: 0.3887 dn_loss_cls: 0.1486 dn_loss_bbox: 0.1665 dn_loss_iou: 0.2475 d0.dn_loss_cls: 0.2230 d0.dn_loss_bbox: 0.3017 d0.dn_loss_iou: 0.3942 d1.dn_loss_cls: 0.1816 d1.dn_loss_bbox: 0.1954 d1.dn_loss_iou: 0.2811 d2.dn_loss_cls: 0.1693 d2.dn_loss_bbox: 0.1763 d2.dn_loss_iou: 0.2583 d3.dn_loss_cls: 0.1598 d3.dn_loss_bbox: 0.1680 d3.dn_loss_iou: 0.2493 d4.dn_loss_cls: 0.1495 d4.dn_loss_bbox: 0.1666 d4.dn_loss_iou: 0.2476 d1.loss_lmm_region: 0.2428 loss_lmm_image: 0.8901 2024/11/02 17:45:29 - mmengine - INFO - Iter(train) [ 20900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:05:04 time: 0.9733 data_time: 0.0170 memory: 20859 grad_norm: 21.6677 loss: 9.9484 loss_cls: 0.3126 loss_bbox: 0.1377 loss_iou: 0.2494 d0.loss_cls: 0.3502 d0.loss_bbox: 0.1518 d0.loss_iou: 0.2687 d1.loss_cls: 0.3293 d1.loss_bbox: 0.1456 d1.loss_iou: 0.2549 d2.loss_cls: 0.3224 d2.loss_bbox: 0.1404 d2.loss_iou: 0.2512 d3.loss_cls: 0.3212 d3.loss_bbox: 0.1359 d3.loss_iou: 0.2482 d4.loss_cls: 0.3157 d4.loss_bbox: 0.1363 d4.loss_iou: 0.2478 enc_loss_cls: 0.3598 enc_loss_bbox: 0.1754 enc_loss_iou: 0.2938 dn_loss_cls: 0.0966 dn_loss_bbox: 0.1953 dn_loss_iou: 0.2232 d0.dn_loss_cls: 0.1842 d0.dn_loss_bbox: 0.3835 d0.dn_loss_iou: 0.3803 d1.dn_loss_cls: 0.1315 d1.dn_loss_bbox: 0.2392 d1.dn_loss_iou: 0.2599 d2.dn_loss_cls: 0.1114 d2.dn_loss_bbox: 0.2085 d2.dn_loss_iou: 0.2336 d3.dn_loss_cls: 0.1020 d3.dn_loss_bbox: 0.1975 d3.dn_loss_iou: 0.2255 d4.dn_loss_cls: 0.0974 d4.dn_loss_bbox: 0.1954 d4.dn_loss_iou: 0.2232 d1.loss_lmm_region: 0.1873 loss_lmm_image: 0.9251 2024/11/02 17:47:08 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 17:47:08 - mmengine - INFO - Iter(train) [ 21000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:03:30 time: 0.9913 data_time: 0.0170 memory: 21115 grad_norm: 27.0304 loss: 10.5326 loss_cls: 0.3440 loss_bbox: 0.1458 loss_iou: 0.2842 d0.loss_cls: 0.3785 d0.loss_bbox: 0.1638 d0.loss_iou: 0.3045 d1.loss_cls: 0.3620 d1.loss_bbox: 0.1515 d1.loss_iou: 0.2935 d2.loss_cls: 0.3594 d2.loss_bbox: 0.1461 d2.loss_iou: 0.2847 d3.loss_cls: 0.3523 d3.loss_bbox: 0.1462 d3.loss_iou: 0.2841 d4.loss_cls: 0.3469 d4.loss_bbox: 0.1458 d4.loss_iou: 0.2838 enc_loss_cls: 0.3923 enc_loss_bbox: 0.1784 enc_loss_iou: 0.3270 dn_loss_cls: 0.1135 dn_loss_bbox: 0.1786 dn_loss_iou: 0.2479 d0.dn_loss_cls: 0.2078 d0.dn_loss_bbox: 0.3409 d0.dn_loss_iou: 0.4179 d1.dn_loss_cls: 0.1478 d1.dn_loss_bbox: 0.2105 d1.dn_loss_iou: 0.2886 d2.dn_loss_cls: 0.1313 d2.dn_loss_bbox: 0.1846 d2.dn_loss_iou: 0.2591 d3.dn_loss_cls: 0.1187 d3.dn_loss_bbox: 0.1789 d3.dn_loss_iou: 0.2494 d4.dn_loss_cls: 0.1154 d4.dn_loss_bbox: 0.1786 d4.dn_loss_iou: 0.2478 d1.loss_lmm_region: 0.1695 loss_lmm_image: 0.8711 2024/11/02 17:48:46 - mmengine - INFO - Iter(train) [ 21100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:01:56 time: 0.9803 data_time: 0.0170 memory: 21143 grad_norm: 22.1184 loss: 11.3921 loss_cls: 0.3525 loss_bbox: 0.1825 loss_iou: 0.3370 d0.loss_cls: 0.3909 d0.loss_bbox: 0.2038 d0.loss_iou: 0.3632 d1.loss_cls: 0.3723 d1.loss_bbox: 0.1925 d1.loss_iou: 0.3506 d2.loss_cls: 0.3664 d2.loss_bbox: 0.1836 d2.loss_iou: 0.3396 d3.loss_cls: 0.3549 d3.loss_bbox: 0.1838 d3.loss_iou: 0.3394 d4.loss_cls: 0.3506 d4.loss_bbox: 0.1840 d4.loss_iou: 0.3386 enc_loss_cls: 0.4065 enc_loss_bbox: 0.2146 enc_loss_iou: 0.3879 dn_loss_cls: 0.0949 dn_loss_bbox: 0.1958 dn_loss_iou: 0.2647 d0.dn_loss_cls: 0.1930 d0.dn_loss_bbox: 0.3727 d0.dn_loss_iou: 0.4358 d1.dn_loss_cls: 0.1299 d1.dn_loss_bbox: 0.2347 d1.dn_loss_iou: 0.3023 d2.dn_loss_cls: 0.1116 d2.dn_loss_bbox: 0.2059 d2.dn_loss_iou: 0.2747 d3.dn_loss_cls: 0.1011 d3.dn_loss_bbox: 0.1972 d3.dn_loss_iou: 0.2663 d4.dn_loss_cls: 0.0954 d4.dn_loss_bbox: 0.1956 d4.dn_loss_iou: 0.2647 d1.loss_lmm_region: 0.1765 loss_lmm_image: 0.8842 2024/11/02 17:50:25 - mmengine - INFO - Iter(train) [ 21200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:00:24 time: 0.9953 data_time: 0.0174 memory: 21518 grad_norm: 24.0497 loss: 10.8723 loss_cls: 0.3790 loss_bbox: 0.1529 loss_iou: 0.2867 d0.loss_cls: 0.4176 d0.loss_bbox: 0.1673 d0.loss_iou: 0.3059 d1.loss_cls: 0.3960 d1.loss_bbox: 0.1601 d1.loss_iou: 0.2925 d2.loss_cls: 0.3840 d2.loss_bbox: 0.1529 d2.loss_iou: 0.2890 d3.loss_cls: 0.3814 d3.loss_bbox: 0.1534 d3.loss_iou: 0.2877 d4.loss_cls: 0.3817 d4.loss_bbox: 0.1523 d4.loss_iou: 0.2867 enc_loss_cls: 0.4324 enc_loss_bbox: 0.1799 enc_loss_iou: 0.3270 dn_loss_cls: 0.0974 dn_loss_bbox: 0.1780 dn_loss_iou: 0.2432 d0.dn_loss_cls: 0.2110 d0.dn_loss_bbox: 0.3543 d0.dn_loss_iou: 0.4209 d1.dn_loss_cls: 0.1421 d1.dn_loss_bbox: 0.2183 d1.dn_loss_iou: 0.2831 d2.dn_loss_cls: 0.1172 d2.dn_loss_bbox: 0.1874 d2.dn_loss_iou: 0.2531 d3.dn_loss_cls: 0.1054 d3.dn_loss_bbox: 0.1794 d3.dn_loss_iou: 0.2451 d4.dn_loss_cls: 0.0978 d4.dn_loss_bbox: 0.1780 d4.dn_loss_iou: 0.2431 d1.loss_lmm_region: 0.2151 loss_lmm_image: 0.9363 2024/11/02 17:52:03 - mmengine - INFO - Iter(train) [ 21300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:58:49 time: 0.9872 data_time: 0.0169 memory: 20672 grad_norm: 22.6378 loss: 9.2747 loss_cls: 0.2618 loss_bbox: 0.1296 loss_iou: 0.2310 d0.loss_cls: 0.2914 d0.loss_bbox: 0.1402 d0.loss_iou: 0.2386 d1.loss_cls: 0.2762 d1.loss_bbox: 0.1371 d1.loss_iou: 0.2368 d2.loss_cls: 0.2713 d2.loss_bbox: 0.1283 d2.loss_iou: 0.2292 d3.loss_cls: 0.2671 d3.loss_bbox: 0.1282 d3.loss_iou: 0.2286 d4.loss_cls: 0.2637 d4.loss_bbox: 0.1297 d4.loss_iou: 0.2306 enc_loss_cls: 0.3039 enc_loss_bbox: 0.1556 enc_loss_iou: 0.2577 dn_loss_cls: 0.1064 dn_loss_bbox: 0.1794 dn_loss_iou: 0.2241 d0.dn_loss_cls: 0.1893 d0.dn_loss_bbox: 0.3452 d0.dn_loss_iou: 0.3774 d1.dn_loss_cls: 0.1377 d1.dn_loss_bbox: 0.2183 d1.dn_loss_iou: 0.2602 d2.dn_loss_cls: 0.1188 d2.dn_loss_bbox: 0.1899 d2.dn_loss_iou: 0.2338 d3.dn_loss_cls: 0.1109 d3.dn_loss_bbox: 0.1812 d3.dn_loss_iou: 0.2253 d4.dn_loss_cls: 0.1078 d4.dn_loss_bbox: 0.1793 d4.dn_loss_iou: 0.2241 d1.loss_lmm_region: 0.1961 loss_lmm_image: 0.9330 2024/11/02 17:53:42 - mmengine - INFO - Iter(train) [ 21400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:57:16 time: 0.9750 data_time: 0.0172 memory: 20890 grad_norm: 27.1128 loss: 10.5857 loss_cls: 0.3314 loss_bbox: 0.1494 loss_iou: 0.2780 d0.loss_cls: 0.3667 d0.loss_bbox: 0.1634 d0.loss_iou: 0.3026 d1.loss_cls: 0.3482 d1.loss_bbox: 0.1555 d1.loss_iou: 0.2924 d2.loss_cls: 0.3425 d2.loss_bbox: 0.1492 d2.loss_iou: 0.2812 d3.loss_cls: 0.3374 d3.loss_bbox: 0.1491 d3.loss_iou: 0.2788 d4.loss_cls: 0.3315 d4.loss_bbox: 0.1488 d4.loss_iou: 0.2782 enc_loss_cls: 0.3850 enc_loss_bbox: 0.1700 enc_loss_iou: 0.3145 dn_loss_cls: 0.1238 dn_loss_bbox: 0.1948 dn_loss_iou: 0.2474 d0.dn_loss_cls: 0.2044 d0.dn_loss_bbox: 0.3549 d0.dn_loss_iou: 0.4110 d1.dn_loss_cls: 0.1498 d1.dn_loss_bbox: 0.2331 d1.dn_loss_iou: 0.2847 d2.dn_loss_cls: 0.1352 d2.dn_loss_bbox: 0.2057 d2.dn_loss_iou: 0.2560 d3.dn_loss_cls: 0.1280 d3.dn_loss_bbox: 0.1967 d3.dn_loss_iou: 0.2491 d4.dn_loss_cls: 0.1237 d4.dn_loss_bbox: 0.1948 d4.dn_loss_iou: 0.2475 d1.loss_lmm_region: 0.1940 loss_lmm_image: 0.8975 2024/11/02 17:55:20 - mmengine - INFO - Iter(train) [ 21500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:55:38 time: 0.9651 data_time: 0.0171 memory: 20723 grad_norm: 24.1929 loss: 10.0054 loss_cls: 0.3015 loss_bbox: 0.1473 loss_iou: 0.2735 d0.loss_cls: 0.3468 d0.loss_bbox: 0.1684 d0.loss_iou: 0.2965 d1.loss_cls: 0.3308 d1.loss_bbox: 0.1507 d1.loss_iou: 0.2781 d2.loss_cls: 0.3157 d2.loss_bbox: 0.1483 d2.loss_iou: 0.2754 d3.loss_cls: 0.3094 d3.loss_bbox: 0.1467 d3.loss_iou: 0.2726 d4.loss_cls: 0.3019 d4.loss_bbox: 0.1472 d4.loss_iou: 0.2732 enc_loss_cls: 0.3591 enc_loss_bbox: 0.1794 enc_loss_iou: 0.3188 dn_loss_cls: 0.0831 dn_loss_bbox: 0.1749 dn_loss_iou: 0.2362 d0.dn_loss_cls: 0.1743 d0.dn_loss_bbox: 0.3405 d0.dn_loss_iou: 0.3944 d1.dn_loss_cls: 0.1192 d1.dn_loss_bbox: 0.2097 d1.dn_loss_iou: 0.2720 d2.dn_loss_cls: 0.0997 d2.dn_loss_bbox: 0.1847 d2.dn_loss_iou: 0.2464 d3.dn_loss_cls: 0.0889 d3.dn_loss_bbox: 0.1762 d3.dn_loss_iou: 0.2380 d4.dn_loss_cls: 0.0842 d4.dn_loss_bbox: 0.1749 d4.dn_loss_iou: 0.2361 d1.loss_lmm_region: 0.1960 loss_lmm_image: 0.9346 2024/11/02 17:56:58 - mmengine - INFO - Iter(train) [ 21600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:54:02 time: 0.9792 data_time: 0.0171 memory: 20548 grad_norm: 25.8239 loss: 9.9709 loss_cls: 0.2964 loss_bbox: 0.1399 loss_iou: 0.2508 d0.loss_cls: 0.3363 d0.loss_bbox: 0.1576 d0.loss_iou: 0.2703 d1.loss_cls: 0.3176 d1.loss_bbox: 0.1460 d1.loss_iou: 0.2542 d2.loss_cls: 0.3071 d2.loss_bbox: 0.1438 d2.loss_iou: 0.2522 d3.loss_cls: 0.3030 d3.loss_bbox: 0.1425 d3.loss_iou: 0.2528 d4.loss_cls: 0.2983 d4.loss_bbox: 0.1396 d4.loss_iou: 0.2507 enc_loss_cls: 0.3401 enc_loss_bbox: 0.1757 enc_loss_iou: 0.2944 dn_loss_cls: 0.1148 dn_loss_bbox: 0.2006 dn_loss_iou: 0.2322 d0.dn_loss_cls: 0.1975 d0.dn_loss_bbox: 0.3740 d0.dn_loss_iou: 0.3946 d1.dn_loss_cls: 0.1494 d1.dn_loss_bbox: 0.2305 d1.dn_loss_iou: 0.2671 d2.dn_loss_cls: 0.1331 d2.dn_loss_bbox: 0.2080 d2.dn_loss_iou: 0.2406 d3.dn_loss_cls: 0.1225 d3.dn_loss_bbox: 0.2027 d3.dn_loss_iou: 0.2342 d4.dn_loss_cls: 0.1149 d4.dn_loss_bbox: 0.2008 d4.dn_loss_iou: 0.2322 d1.loss_lmm_region: 0.1599 loss_lmm_image: 0.8920 2024/11/02 17:58:36 - mmengine - INFO - Iter(train) [ 21700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:52:26 time: 0.9818 data_time: 0.0173 memory: 21095 grad_norm: 22.3456 loss: 10.9893 loss_cls: 0.3477 loss_bbox: 0.1630 loss_iou: 0.3039 d0.loss_cls: 0.3821 d0.loss_bbox: 0.1881 d0.loss_iou: 0.3198 d1.loss_cls: 0.3682 d1.loss_bbox: 0.1714 d1.loss_iou: 0.3051 d2.loss_cls: 0.3589 d2.loss_bbox: 0.1654 d2.loss_iou: 0.3054 d3.loss_cls: 0.3540 d3.loss_bbox: 0.1635 d3.loss_iou: 0.3050 d4.loss_cls: 0.3471 d4.loss_bbox: 0.1644 d4.loss_iou: 0.3058 enc_loss_cls: 0.4088 enc_loss_bbox: 0.2003 enc_loss_iou: 0.3428 dn_loss_cls: 0.0985 dn_loss_bbox: 0.2043 dn_loss_iou: 0.2497 d0.dn_loss_cls: 0.1982 d0.dn_loss_bbox: 0.3709 d0.dn_loss_iou: 0.4154 d1.dn_loss_cls: 0.1350 d1.dn_loss_bbox: 0.2458 d1.dn_loss_iou: 0.2907 d2.dn_loss_cls: 0.1149 d2.dn_loss_bbox: 0.2155 d2.dn_loss_iou: 0.2600 d3.dn_loss_cls: 0.1027 d3.dn_loss_bbox: 0.2054 d3.dn_loss_iou: 0.2510 d4.dn_loss_cls: 0.0985 d4.dn_loss_bbox: 0.2043 d4.dn_loss_iou: 0.2497 d1.loss_lmm_region: 0.1825 loss_lmm_image: 0.9255 2024/11/02 18:00:14 - mmengine - INFO - Iter(train) [ 21800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:50:49 time: 0.9840 data_time: 0.0171 memory: 21664 grad_norm: nan loss: 11.1730 loss_cls: 0.3783 loss_bbox: 0.1644 loss_iou: 0.3181 d0.loss_cls: 0.4161 d0.loss_bbox: 0.1764 d0.loss_iou: 0.3321 d1.loss_cls: 0.4025 d1.loss_bbox: 0.1650 d1.loss_iou: 0.3168 d2.loss_cls: 0.3928 d2.loss_bbox: 0.1624 d2.loss_iou: 0.3130 d3.loss_cls: 0.3871 d3.loss_bbox: 0.1632 d3.loss_iou: 0.3144 d4.loss_cls: 0.3767 d4.loss_bbox: 0.1646 d4.loss_iou: 0.3183 enc_loss_cls: 0.4343 enc_loss_bbox: 0.1890 enc_loss_iou: 0.3534 dn_loss_cls: 0.1091 dn_loss_bbox: 0.1849 dn_loss_iou: 0.2499 d0.dn_loss_cls: 0.1990 d0.dn_loss_bbox: 0.3597 d0.dn_loss_iou: 0.4163 d1.dn_loss_cls: 0.1379 d1.dn_loss_bbox: 0.2247 d1.dn_loss_iou: 0.2887 d2.dn_loss_cls: 0.1203 d2.dn_loss_bbox: 0.1938 d2.dn_loss_iou: 0.2593 d3.dn_loss_cls: 0.1129 d3.dn_loss_bbox: 0.1870 d3.dn_loss_iou: 0.2523 d4.dn_loss_cls: 0.1089 d4.dn_loss_bbox: 0.1850 d4.dn_loss_iou: 0.2498 d1.loss_lmm_region: 0.1873 loss_lmm_image: 0.9073 2024/11/02 18:01:52 - mmengine - INFO - Iter(train) [ 21900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:49:13 time: 0.9857 data_time: 0.0171 memory: 20222 grad_norm: 22.3674 loss: 10.9345 loss_cls: 0.3568 loss_bbox: 0.1845 loss_iou: 0.2908 d0.loss_cls: 0.4082 d0.loss_bbox: 0.1883 d0.loss_iou: 0.3074 d1.loss_cls: 0.3804 d1.loss_bbox: 0.1904 d1.loss_iou: 0.2982 d2.loss_cls: 0.3743 d2.loss_bbox: 0.1819 d2.loss_iou: 0.2925 d3.loss_cls: 0.3664 d3.loss_bbox: 0.1818 d3.loss_iou: 0.2901 d4.loss_cls: 0.3590 d4.loss_bbox: 0.1831 d4.loss_iou: 0.2894 enc_loss_cls: 0.4158 enc_loss_bbox: 0.2118 enc_loss_iou: 0.3333 dn_loss_cls: 0.1115 dn_loss_bbox: 0.1952 dn_loss_iou: 0.2270 d0.dn_loss_cls: 0.2058 d0.dn_loss_bbox: 0.3672 d0.dn_loss_iou: 0.3747 d1.dn_loss_cls: 0.1476 d1.dn_loss_bbox: 0.2320 d1.dn_loss_iou: 0.2616 d2.dn_loss_cls: 0.1278 d2.dn_loss_bbox: 0.2045 d2.dn_loss_iou: 0.2364 d3.dn_loss_cls: 0.1173 d3.dn_loss_bbox: 0.1962 d3.dn_loss_iou: 0.2282 d4.dn_loss_cls: 0.1121 d4.dn_loss_bbox: 0.1951 d4.dn_loss_iou: 0.2268 d1.loss_lmm_region: 0.1887 loss_lmm_image: 0.8945 2024/11/02 18:03:30 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 18:03:30 - mmengine - INFO - Iter(train) [ 22000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:47:35 time: 0.9851 data_time: 0.0170 memory: 20881 grad_norm: 20.6419 loss: 11.2100 loss_cls: 0.3580 loss_bbox: 0.1760 loss_iou: 0.3014 d0.loss_cls: 0.3904 d0.loss_bbox: 0.1905 d0.loss_iou: 0.3201 d1.loss_cls: 0.3729 d1.loss_bbox: 0.1846 d1.loss_iou: 0.3125 d2.loss_cls: 0.3654 d2.loss_bbox: 0.1751 d2.loss_iou: 0.3034 d3.loss_cls: 0.3637 d3.loss_bbox: 0.1752 d3.loss_iou: 0.3011 d4.loss_cls: 0.3572 d4.loss_bbox: 0.1765 d4.loss_iou: 0.3029 enc_loss_cls: 0.4086 enc_loss_bbox: 0.2090 enc_loss_iou: 0.3445 dn_loss_cls: 0.1165 dn_loss_bbox: 0.2020 dn_loss_iou: 0.2461 d0.dn_loss_cls: 0.2126 d0.dn_loss_bbox: 0.3730 d0.dn_loss_iou: 0.4082 d1.dn_loss_cls: 0.1526 d1.dn_loss_bbox: 0.2445 d1.dn_loss_iou: 0.2857 d2.dn_loss_cls: 0.1354 d2.dn_loss_bbox: 0.2156 d2.dn_loss_iou: 0.2578 d3.dn_loss_cls: 0.1237 d3.dn_loss_bbox: 0.2033 d3.dn_loss_iou: 0.2480 d4.dn_loss_cls: 0.1175 d4.dn_loss_bbox: 0.2020 d4.dn_loss_iou: 0.2463 d1.loss_lmm_region: 0.2050 loss_lmm_image: 0.9251 2024/11/02 18:05:08 - mmengine - INFO - Iter(train) [ 22100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:46:00 time: 0.9799 data_time: 0.0171 memory: 20483 grad_norm: 22.7156 loss: 9.6456 loss_cls: 0.2984 loss_bbox: 0.1468 loss_iou: 0.2266 d0.loss_cls: 0.3224 d0.loss_bbox: 0.1542 d0.loss_iou: 0.2433 d1.loss_cls: 0.3150 d1.loss_bbox: 0.1477 d1.loss_iou: 0.2347 d2.loss_cls: 0.3153 d2.loss_bbox: 0.1423 d2.loss_iou: 0.2238 d3.loss_cls: 0.3066 d3.loss_bbox: 0.1463 d3.loss_iou: 0.2248 d4.loss_cls: 0.2983 d4.loss_bbox: 0.1454 d4.loss_iou: 0.2261 enc_loss_cls: 0.3364 enc_loss_bbox: 0.1697 enc_loss_iou: 0.2636 dn_loss_cls: 0.1129 dn_loss_bbox: 0.1794 dn_loss_iou: 0.2235 d0.dn_loss_cls: 0.2064 d0.dn_loss_bbox: 0.3218 d0.dn_loss_iou: 0.3695 d1.dn_loss_cls: 0.1513 d1.dn_loss_bbox: 0.2108 d1.dn_loss_iou: 0.2565 d2.dn_loss_cls: 0.1312 d2.dn_loss_bbox: 0.1877 d2.dn_loss_iou: 0.2325 d3.dn_loss_cls: 0.1205 d3.dn_loss_bbox: 0.1798 d3.dn_loss_iou: 0.2245 d4.dn_loss_cls: 0.1133 d4.dn_loss_bbox: 0.1794 d4.dn_loss_iou: 0.2235 d1.loss_lmm_region: 0.2161 loss_lmm_image: 0.9172 2024/11/02 18:06:46 - mmengine - INFO - Iter(train) [ 22200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:44:22 time: 0.9854 data_time: 0.0171 memory: 20599 grad_norm: 23.2851 loss: 11.0080 loss_cls: 0.3188 loss_bbox: 0.1774 loss_iou: 0.3239 d0.loss_cls: 0.3658 d0.loss_bbox: 0.1785 d0.loss_iou: 0.3318 d1.loss_cls: 0.3370 d1.loss_bbox: 0.1742 d1.loss_iou: 0.3319 d2.loss_cls: 0.3288 d2.loss_bbox: 0.1774 d2.loss_iou: 0.3255 d3.loss_cls: 0.3246 d3.loss_bbox: 0.1760 d3.loss_iou: 0.3217 d4.loss_cls: 0.3206 d4.loss_bbox: 0.1754 d4.loss_iou: 0.3232 enc_loss_cls: 0.3701 enc_loss_bbox: 0.2016 enc_loss_iou: 0.3552 dn_loss_cls: 0.1217 dn_loss_bbox: 0.1971 dn_loss_iou: 0.2557 d0.dn_loss_cls: 0.1943 d0.dn_loss_bbox: 0.3549 d0.dn_loss_iou: 0.4123 d1.dn_loss_cls: 0.1443 d1.dn_loss_bbox: 0.2285 d1.dn_loss_iou: 0.2901 d2.dn_loss_cls: 0.1297 d2.dn_loss_bbox: 0.2053 d2.dn_loss_iou: 0.2643 d3.dn_loss_cls: 0.1239 d3.dn_loss_bbox: 0.1976 d3.dn_loss_iou: 0.2566 d4.dn_loss_cls: 0.1220 d4.dn_loss_bbox: 0.1971 d4.dn_loss_iou: 0.2555 d1.loss_lmm_region: 0.1816 loss_lmm_image: 0.9362 2024/11/02 18:08:25 - mmengine - INFO - Iter(train) [ 22300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:42:50 time: 0.9801 data_time: 0.0172 memory: 21004 grad_norm: 23.6239 loss: 9.8771 loss_cls: 0.3082 loss_bbox: 0.1389 loss_iou: 0.2427 d0.loss_cls: 0.3465 d0.loss_bbox: 0.1558 d0.loss_iou: 0.2615 d1.loss_cls: 0.3301 d1.loss_bbox: 0.1446 d1.loss_iou: 0.2500 d2.loss_cls: 0.3211 d2.loss_bbox: 0.1428 d2.loss_iou: 0.2478 d3.loss_cls: 0.3222 d3.loss_bbox: 0.1386 d3.loss_iou: 0.2423 d4.loss_cls: 0.3105 d4.loss_bbox: 0.1380 d4.loss_iou: 0.2421 enc_loss_cls: 0.3625 enc_loss_bbox: 0.1641 enc_loss_iou: 0.2837 dn_loss_cls: 0.1329 dn_loss_bbox: 0.1771 dn_loss_iou: 0.2212 d0.dn_loss_cls: 0.2157 d0.dn_loss_bbox: 0.3236 d0.dn_loss_iou: 0.3636 d1.dn_loss_cls: 0.1629 d1.dn_loss_bbox: 0.2079 d1.dn_loss_iou: 0.2519 d2.dn_loss_cls: 0.1486 d2.dn_loss_bbox: 0.1843 d2.dn_loss_iou: 0.2296 d3.dn_loss_cls: 0.1421 d3.dn_loss_bbox: 0.1775 d3.dn_loss_iou: 0.2223 d4.dn_loss_cls: 0.1349 d4.dn_loss_bbox: 0.1771 d4.dn_loss_iou: 0.2210 d1.loss_lmm_region: 0.1819 loss_lmm_image: 0.9073 2024/11/02 18:10:04 - mmengine - INFO - Iter(train) [ 22400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:41:19 time: 0.9898 data_time: 0.0170 memory: 19875 grad_norm: 25.6987 loss: 9.3740 loss_cls: 0.2566 loss_bbox: 0.1408 loss_iou: 0.2270 d0.loss_cls: 0.2864 d0.loss_bbox: 0.1477 d0.loss_iou: 0.2424 d1.loss_cls: 0.2734 d1.loss_bbox: 0.1402 d1.loss_iou: 0.2332 d2.loss_cls: 0.2662 d2.loss_bbox: 0.1368 d2.loss_iou: 0.2259 d3.loss_cls: 0.2609 d3.loss_bbox: 0.1388 d3.loss_iou: 0.2247 d4.loss_cls: 0.2585 d4.loss_bbox: 0.1402 d4.loss_iou: 0.2263 enc_loss_cls: 0.3087 enc_loss_bbox: 0.1517 enc_loss_iou: 0.2563 dn_loss_cls: 0.1015 dn_loss_bbox: 0.1951 dn_loss_iou: 0.2265 d0.dn_loss_cls: 0.1889 d0.dn_loss_bbox: 0.3679 d0.dn_loss_iou: 0.3862 d1.dn_loss_cls: 0.1346 d1.dn_loss_bbox: 0.2353 d1.dn_loss_iou: 0.2640 d2.dn_loss_cls: 0.1177 d2.dn_loss_bbox: 0.2079 d2.dn_loss_iou: 0.2383 d3.dn_loss_cls: 0.1062 d3.dn_loss_bbox: 0.1960 d3.dn_loss_iou: 0.2284 d4.dn_loss_cls: 0.1036 d4.dn_loss_bbox: 0.1950 d4.dn_loss_iou: 0.2264 d1.loss_lmm_region: 0.1813 loss_lmm_image: 0.9304 2024/11/02 18:11:42 - mmengine - INFO - Iter(train) [ 22500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:39:41 time: 0.9727 data_time: 0.0171 memory: 20680 grad_norm: 21.1293 loss: 8.7967 loss_cls: 0.2451 loss_bbox: 0.1217 loss_iou: 0.2029 d0.loss_cls: 0.2736 d0.loss_bbox: 0.1339 d0.loss_iou: 0.2172 d1.loss_cls: 0.2583 d1.loss_bbox: 0.1260 d1.loss_iou: 0.2065 d2.loss_cls: 0.2528 d2.loss_bbox: 0.1223 d2.loss_iou: 0.2021 d3.loss_cls: 0.2493 d3.loss_bbox: 0.1218 d3.loss_iou: 0.2028 d4.loss_cls: 0.2452 d4.loss_bbox: 0.1214 d4.loss_iou: 0.2026 enc_loss_cls: 0.2893 enc_loss_bbox: 0.1500 enc_loss_iou: 0.2401 dn_loss_cls: 0.0930 dn_loss_bbox: 0.1904 dn_loss_iou: 0.2153 d0.dn_loss_cls: 0.1743 d0.dn_loss_bbox: 0.3746 d0.dn_loss_iou: 0.3827 d1.dn_loss_cls: 0.1222 d1.dn_loss_bbox: 0.2344 d1.dn_loss_iou: 0.2555 d2.dn_loss_cls: 0.1048 d2.dn_loss_bbox: 0.2005 d2.dn_loss_iou: 0.2250 d3.dn_loss_cls: 0.0962 d3.dn_loss_bbox: 0.1921 d3.dn_loss_iou: 0.2172 d4.dn_loss_cls: 0.0935 d4.dn_loss_bbox: 0.1904 d4.dn_loss_iou: 0.2153 d1.loss_lmm_region: 0.1461 loss_lmm_image: 0.8883 2024/11/02 18:13:20 - mmengine - INFO - Iter(train) [ 22600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:38:05 time: 0.9948 data_time: 0.0171 memory: 20580 grad_norm: 22.0544 loss: 9.2657 loss_cls: 0.2828 loss_bbox: 0.1268 loss_iou: 0.2430 d0.loss_cls: 0.3193 d0.loss_bbox: 0.1387 d0.loss_iou: 0.2587 d1.loss_cls: 0.3005 d1.loss_bbox: 0.1286 d1.loss_iou: 0.2435 d2.loss_cls: 0.2961 d2.loss_bbox: 0.1239 d2.loss_iou: 0.2407 d3.loss_cls: 0.2906 d3.loss_bbox: 0.1233 d3.loss_iou: 0.2403 d4.loss_cls: 0.2848 d4.loss_bbox: 0.1257 d4.loss_iou: 0.2416 enc_loss_cls: 0.3352 enc_loss_bbox: 0.1508 enc_loss_iou: 0.2779 dn_loss_cls: 0.0846 dn_loss_bbox: 0.1763 dn_loss_iou: 0.2157 d0.dn_loss_cls: 0.1746 d0.dn_loss_bbox: 0.3571 d0.dn_loss_iou: 0.3814 d1.dn_loss_cls: 0.1170 d1.dn_loss_bbox: 0.2241 d1.dn_loss_iou: 0.2565 d2.dn_loss_cls: 0.0999 d2.dn_loss_bbox: 0.1859 d2.dn_loss_iou: 0.2248 d3.dn_loss_cls: 0.0897 d3.dn_loss_bbox: 0.1782 d3.dn_loss_iou: 0.2175 d4.dn_loss_cls: 0.0853 d4.dn_loss_bbox: 0.1763 d4.dn_loss_iou: 0.2155 d1.loss_lmm_region: 0.1727 loss_lmm_image: 0.8595 2024/11/02 18:14:58 - mmengine - INFO - Iter(train) [ 22700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:36:26 time: 0.9805 data_time: 0.0170 memory: 21563 grad_norm: 27.8378 loss: 10.2797 loss_cls: 0.3408 loss_bbox: 0.1506 loss_iou: 0.2947 d0.loss_cls: 0.3810 d0.loss_bbox: 0.1634 d0.loss_iou: 0.3126 d1.loss_cls: 0.3641 d1.loss_bbox: 0.1539 d1.loss_iou: 0.3005 d2.loss_cls: 0.3518 d2.loss_bbox: 0.1508 d2.loss_iou: 0.2956 d3.loss_cls: 0.3470 d3.loss_bbox: 0.1502 d3.loss_iou: 0.2944 d4.loss_cls: 0.3421 d4.loss_bbox: 0.1505 d4.loss_iou: 0.2952 enc_loss_cls: 0.3952 enc_loss_bbox: 0.1845 enc_loss_iou: 0.3384 dn_loss_cls: 0.0971 dn_loss_bbox: 0.1707 dn_loss_iou: 0.2191 d0.dn_loss_cls: 0.1767 d0.dn_loss_bbox: 0.3132 d0.dn_loss_iou: 0.3633 d1.dn_loss_cls: 0.1272 d1.dn_loss_bbox: 0.2020 d1.dn_loss_iou: 0.2518 d2.dn_loss_cls: 0.1123 d2.dn_loss_bbox: 0.1785 d2.dn_loss_iou: 0.2283 d3.dn_loss_cls: 0.1032 d3.dn_loss_bbox: 0.1714 d3.dn_loss_iou: 0.2204 d4.dn_loss_cls: 0.0975 d4.dn_loss_bbox: 0.1708 d4.dn_loss_iou: 0.2191 d1.loss_lmm_region: 0.1820 loss_lmm_image: 0.9179 2024/11/02 18:16:36 - mmengine - INFO - Iter(train) [ 22800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:34:52 time: 0.9775 data_time: 0.0169 memory: 21172 grad_norm: 23.9566 loss: 9.6848 loss_cls: 0.2990 loss_bbox: 0.1442 loss_iou: 0.2715 d0.loss_cls: 0.3326 d0.loss_bbox: 0.1570 d0.loss_iou: 0.2851 d1.loss_cls: 0.3195 d1.loss_bbox: 0.1457 d1.loss_iou: 0.2779 d2.loss_cls: 0.3099 d2.loss_bbox: 0.1423 d2.loss_iou: 0.2725 d3.loss_cls: 0.3036 d3.loss_bbox: 0.1436 d3.loss_iou: 0.2702 d4.loss_cls: 0.3008 d4.loss_bbox: 0.1436 d4.loss_iou: 0.2721 enc_loss_cls: 0.3424 enc_loss_bbox: 0.1752 enc_loss_iou: 0.3100 dn_loss_cls: 0.0957 dn_loss_bbox: 0.1578 dn_loss_iou: 0.2153 d0.dn_loss_cls: 0.1808 d0.dn_loss_bbox: 0.3213 d0.dn_loss_iou: 0.3711 d1.dn_loss_cls: 0.1250 d1.dn_loss_bbox: 0.1954 d1.dn_loss_iou: 0.2504 d2.dn_loss_cls: 0.1092 d2.dn_loss_bbox: 0.1694 d2.dn_loss_iou: 0.2250 d3.dn_loss_cls: 0.1018 d3.dn_loss_bbox: 0.1584 d3.dn_loss_iou: 0.2165 d4.dn_loss_cls: 0.0954 d4.dn_loss_bbox: 0.1576 d4.dn_loss_iou: 0.2151 d1.loss_lmm_region: 0.1894 loss_lmm_image: 0.9158 2024/11/02 18:18:14 - mmengine - INFO - Iter(train) [ 22900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:33:11 time: 0.9740 data_time: 0.0173 memory: 20041 grad_norm: 21.5559 loss: 9.7212 loss_cls: 0.2852 loss_bbox: 0.1376 loss_iou: 0.2439 d0.loss_cls: 0.3127 d0.loss_bbox: 0.1491 d0.loss_iou: 0.2600 d1.loss_cls: 0.3022 d1.loss_bbox: 0.1409 d1.loss_iou: 0.2488 d2.loss_cls: 0.2930 d2.loss_bbox: 0.1395 d2.loss_iou: 0.2468 d3.loss_cls: 0.2901 d3.loss_bbox: 0.1372 d3.loss_iou: 0.2448 d4.loss_cls: 0.2853 d4.loss_bbox: 0.1382 d4.loss_iou: 0.2448 enc_loss_cls: 0.3367 enc_loss_bbox: 0.1636 enc_loss_iou: 0.2779 dn_loss_cls: 0.1127 dn_loss_bbox: 0.1888 dn_loss_iou: 0.2366 d0.dn_loss_cls: 0.1951 d0.dn_loss_bbox: 0.3695 d0.dn_loss_iou: 0.3955 d1.dn_loss_cls: 0.1425 d1.dn_loss_bbox: 0.2253 d1.dn_loss_iou: 0.2704 d2.dn_loss_cls: 0.1273 d2.dn_loss_bbox: 0.1950 d2.dn_loss_iou: 0.2441 d3.dn_loss_cls: 0.1198 d3.dn_loss_bbox: 0.1901 d3.dn_loss_iou: 0.2376 d4.dn_loss_cls: 0.1126 d4.dn_loss_bbox: 0.1887 d4.dn_loss_iou: 0.2364 d1.loss_lmm_region: 0.1788 loss_lmm_image: 0.8760 2024/11/02 18:19:52 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 18:19:52 - mmengine - INFO - Iter(train) [ 23000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:31:33 time: 0.9755 data_time: 0.0171 memory: 20783 grad_norm: 22.7676 loss: 9.4400 loss_cls: 0.2849 loss_bbox: 0.1352 loss_iou: 0.2592 d0.loss_cls: 0.3088 d0.loss_bbox: 0.1510 d0.loss_iou: 0.2765 d1.loss_cls: 0.3012 d1.loss_bbox: 0.1391 d1.loss_iou: 0.2613 d2.loss_cls: 0.2949 d2.loss_bbox: 0.1332 d2.loss_iou: 0.2591 d3.loss_cls: 0.2917 d3.loss_bbox: 0.1343 d3.loss_iou: 0.2592 d4.loss_cls: 0.2857 d4.loss_bbox: 0.1352 d4.loss_iou: 0.2593 enc_loss_cls: 0.3265 enc_loss_bbox: 0.1622 enc_loss_iou: 0.2972 dn_loss_cls: 0.0820 dn_loss_bbox: 0.1576 dn_loss_iou: 0.2213 d0.dn_loss_cls: 0.1727 d0.dn_loss_bbox: 0.3324 d0.dn_loss_iou: 0.3863 d1.dn_loss_cls: 0.1185 d1.dn_loss_bbox: 0.2023 d1.dn_loss_iou: 0.2615 d2.dn_loss_cls: 0.0994 d2.dn_loss_bbox: 0.1739 d2.dn_loss_iou: 0.2331 d3.dn_loss_cls: 0.0871 d3.dn_loss_bbox: 0.1614 d3.dn_loss_iou: 0.2240 d4.dn_loss_cls: 0.0824 d4.dn_loss_bbox: 0.1578 d4.dn_loss_iou: 0.2214 d1.loss_lmm_region: 0.1814 loss_lmm_image: 0.9276 2024/11/02 18:21:30 - mmengine - INFO - Iter(train) [ 23100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:30:01 time: 0.9967 data_time: 0.0171 memory: 21593 grad_norm: nan loss: 9.6111 loss_cls: 0.2850 loss_bbox: 0.1398 loss_iou: 0.2260 d0.loss_cls: 0.3270 d0.loss_bbox: 0.1428 d0.loss_iou: 0.2430 d1.loss_cls: 0.3096 d1.loss_bbox: 0.1347 d1.loss_iou: 0.2312 d2.loss_cls: 0.2949 d2.loss_bbox: 0.1359 d2.loss_iou: 0.2299 d3.loss_cls: 0.2877 d3.loss_bbox: 0.1370 d3.loss_iou: 0.2287 d4.loss_cls: 0.2861 d4.loss_bbox: 0.1397 d4.loss_iou: 0.2269 enc_loss_cls: 0.3361 enc_loss_bbox: 0.1548 enc_loss_iou: 0.2624 dn_loss_cls: 0.1037 dn_loss_bbox: 0.1910 dn_loss_iou: 0.2255 d0.dn_loss_cls: 0.1908 d0.dn_loss_bbox: 0.3625 d0.dn_loss_iou: 0.3868 d1.dn_loss_cls: 0.1375 d1.dn_loss_bbox: 0.2293 d1.dn_loss_iou: 0.2617 d2.dn_loss_cls: 0.1197 d2.dn_loss_bbox: 0.2022 d2.dn_loss_iou: 0.2349 d3.dn_loss_cls: 0.1088 d3.dn_loss_bbox: 0.1937 d3.dn_loss_iou: 0.2273 d4.dn_loss_cls: 0.1051 d4.dn_loss_bbox: 0.1911 d4.dn_loss_iou: 0.2255 d1.loss_lmm_region: 0.1929 loss_lmm_image: 0.9618 2024/11/02 18:23:08 - mmengine - INFO - Iter(train) [ 23200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:28:21 time: 0.9758 data_time: 0.0170 memory: 19996 grad_norm: 26.9820 loss: 9.6972 loss_cls: 0.2503 loss_bbox: 0.1508 loss_iou: 0.2483 d0.loss_cls: 0.2788 d0.loss_bbox: 0.1629 d0.loss_iou: 0.2680 d1.loss_cls: 0.2704 d1.loss_bbox: 0.1529 d1.loss_iou: 0.2540 d2.loss_cls: 0.2565 d2.loss_bbox: 0.1535 d2.loss_iou: 0.2515 d3.loss_cls: 0.2537 d3.loss_bbox: 0.1502 d3.loss_iou: 0.2473 d4.loss_cls: 0.2501 d4.loss_bbox: 0.1515 d4.loss_iou: 0.2481 enc_loss_cls: 0.2935 enc_loss_bbox: 0.1774 enc_loss_iou: 0.2845 dn_loss_cls: 0.1066 dn_loss_bbox: 0.2020 dn_loss_iou: 0.2473 d0.dn_loss_cls: 0.1899 d0.dn_loss_bbox: 0.3780 d0.dn_loss_iou: 0.4089 d1.dn_loss_cls: 0.1319 d1.dn_loss_bbox: 0.2408 d1.dn_loss_iou: 0.2830 d2.dn_loss_cls: 0.1195 d2.dn_loss_bbox: 0.2110 d2.dn_loss_iou: 0.2558 d3.dn_loss_cls: 0.1104 d3.dn_loss_bbox: 0.2033 d3.dn_loss_iou: 0.2482 d4.dn_loss_cls: 0.1065 d4.dn_loss_bbox: 0.2019 d4.dn_loss_iou: 0.2471 d1.loss_lmm_region: 0.1843 loss_lmm_image: 0.8665 2024/11/02 18:24:46 - mmengine - INFO - Iter(train) [ 23300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:26:43 time: 0.9845 data_time: 0.0170 memory: 20424 grad_norm: 27.0403 loss: 9.6905 loss_cls: 0.3027 loss_bbox: 0.1427 loss_iou: 0.2288 d0.loss_cls: 0.3313 d0.loss_bbox: 0.1583 d0.loss_iou: 0.2519 d1.loss_cls: 0.3170 d1.loss_bbox: 0.1464 d1.loss_iou: 0.2369 d2.loss_cls: 0.3147 d2.loss_bbox: 0.1422 d2.loss_iou: 0.2281 d3.loss_cls: 0.3116 d3.loss_bbox: 0.1411 d3.loss_iou: 0.2268 d4.loss_cls: 0.3025 d4.loss_bbox: 0.1424 d4.loss_iou: 0.2283 enc_loss_cls: 0.3414 enc_loss_bbox: 0.1745 enc_loss_iou: 0.2797 dn_loss_cls: 0.1160 dn_loss_bbox: 0.1829 dn_loss_iou: 0.2095 d0.dn_loss_cls: 0.2113 d0.dn_loss_bbox: 0.3648 d0.dn_loss_iou: 0.3706 d1.dn_loss_cls: 0.1541 d1.dn_loss_bbox: 0.2215 d1.dn_loss_iou: 0.2448 d2.dn_loss_cls: 0.1385 d2.dn_loss_bbox: 0.1914 d2.dn_loss_iou: 0.2183 d3.dn_loss_cls: 0.1266 d3.dn_loss_bbox: 0.1839 d3.dn_loss_iou: 0.2109 d4.dn_loss_cls: 0.1176 d4.dn_loss_bbox: 0.1829 d4.dn_loss_iou: 0.2094 d1.loss_lmm_region: 0.1722 loss_lmm_image: 0.9139 2024/11/02 18:26:24 - mmengine - INFO - Iter(train) [ 23400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:25:06 time: 0.9779 data_time: 0.0170 memory: 21069 grad_norm: 22.4327 loss: 9.6516 loss_cls: 0.3339 loss_bbox: 0.1217 loss_iou: 0.2434 d0.loss_cls: 0.3722 d0.loss_bbox: 0.1338 d0.loss_iou: 0.2662 d1.loss_cls: 0.3516 d1.loss_bbox: 0.1258 d1.loss_iou: 0.2537 d2.loss_cls: 0.3434 d2.loss_bbox: 0.1238 d2.loss_iou: 0.2487 d3.loss_cls: 0.3372 d3.loss_bbox: 0.1224 d3.loss_iou: 0.2451 d4.loss_cls: 0.3331 d4.loss_bbox: 0.1224 d4.loss_iou: 0.2444 enc_loss_cls: 0.3877 enc_loss_bbox: 0.1534 enc_loss_iou: 0.2928 dn_loss_cls: 0.1147 dn_loss_bbox: 0.1461 dn_loss_iou: 0.2047 d0.dn_loss_cls: 0.2018 d0.dn_loss_bbox: 0.3118 d0.dn_loss_iou: 0.3674 d1.dn_loss_cls: 0.1457 d1.dn_loss_bbox: 0.1863 d1.dn_loss_iou: 0.2446 d2.dn_loss_cls: 0.1296 d2.dn_loss_bbox: 0.1583 d2.dn_loss_iou: 0.2154 d3.dn_loss_cls: 0.1193 d3.dn_loss_bbox: 0.1473 d3.dn_loss_iou: 0.2061 d4.dn_loss_cls: 0.1146 d4.dn_loss_bbox: 0.1461 d4.dn_loss_iou: 0.2046 d1.loss_lmm_region: 0.2014 loss_lmm_image: 0.9290 2024/11/02 18:28:03 - mmengine - INFO - Iter(train) [ 23500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:23:34 time: 0.9946 data_time: 0.0172 memory: 20394 grad_norm: 50.0126 loss: 10.5068 loss_cls: 0.3246 loss_bbox: 0.1611 loss_iou: 0.3167 d0.loss_cls: 0.3634 d0.loss_bbox: 0.1788 d0.loss_iou: 0.3380 d1.loss_cls: 0.3462 d1.loss_bbox: 0.1626 d1.loss_iou: 0.3199 d2.loss_cls: 0.3390 d2.loss_bbox: 0.1600 d2.loss_iou: 0.3147 d3.loss_cls: 0.3319 d3.loss_bbox: 0.1596 d3.loss_iou: 0.3144 d4.loss_cls: 0.3280 d4.loss_bbox: 0.1623 d4.loss_iou: 0.3147 enc_loss_cls: 0.3834 enc_loss_bbox: 0.1859 enc_loss_iou: 0.3585 dn_loss_cls: 0.0993 dn_loss_bbox: 0.1606 dn_loss_iou: 0.2333 d0.dn_loss_cls: 0.1875 d0.dn_loss_bbox: 0.3237 d0.dn_loss_iou: 0.3923 d1.dn_loss_cls: 0.1316 d1.dn_loss_bbox: 0.1969 d1.dn_loss_iou: 0.2701 d2.dn_loss_cls: 0.1185 d2.dn_loss_bbox: 0.1713 d2.dn_loss_iou: 0.2435 d3.dn_loss_cls: 0.1068 d3.dn_loss_bbox: 0.1614 d3.dn_loss_iou: 0.2347 d4.dn_loss_cls: 0.1021 d4.dn_loss_bbox: 0.1606 d4.dn_loss_iou: 0.2334 d1.loss_lmm_region: 0.2034 loss_lmm_image: 0.9120 2024/11/02 18:29:40 - mmengine - INFO - Iter(train) [ 23600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:21:55 time: 0.9722 data_time: 0.0171 memory: 21009 grad_norm: 25.6394 loss: 10.9943 loss_cls: 0.3776 loss_bbox: 0.1818 loss_iou: 0.3213 d0.loss_cls: 0.4143 d0.loss_bbox: 0.1998 d0.loss_iou: 0.3444 d1.loss_cls: 0.3958 d1.loss_bbox: 0.1887 d1.loss_iou: 0.3308 d2.loss_cls: 0.3813 d2.loss_bbox: 0.1873 d2.loss_iou: 0.3270 d3.loss_cls: 0.3799 d3.loss_bbox: 0.1845 d3.loss_iou: 0.3218 d4.loss_cls: 0.3745 d4.loss_bbox: 0.1882 d4.loss_iou: 0.3212 enc_loss_cls: 0.4356 enc_loss_bbox: 0.2104 enc_loss_iou: 0.3630 dn_loss_cls: 0.1032 dn_loss_bbox: 0.1731 dn_loss_iou: 0.2212 d0.dn_loss_cls: 0.1926 d0.dn_loss_bbox: 0.3269 d0.dn_loss_iou: 0.3768 d1.dn_loss_cls: 0.1369 d1.dn_loss_bbox: 0.2058 d1.dn_loss_iou: 0.2565 d2.dn_loss_cls: 0.1177 d2.dn_loss_bbox: 0.1815 d2.dn_loss_iou: 0.2310 d3.dn_loss_cls: 0.1102 d3.dn_loss_bbox: 0.1738 d3.dn_loss_iou: 0.2224 d4.dn_loss_cls: 0.1037 d4.dn_loss_bbox: 0.1732 d4.dn_loss_iou: 0.2210 d1.loss_lmm_region: 0.1744 loss_lmm_image: 0.8633 2024/11/02 18:31:19 - mmengine - INFO - Iter(train) [ 23700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:20:19 time: 0.9691 data_time: 0.0170 memory: 21482 grad_norm: 22.8907 loss: 10.9760 loss_cls: 0.3660 loss_bbox: 0.1625 loss_iou: 0.2917 d0.loss_cls: 0.4092 d0.loss_bbox: 0.1747 d0.loss_iou: 0.3087 d1.loss_cls: 0.3806 d1.loss_bbox: 0.1660 d1.loss_iou: 0.2982 d2.loss_cls: 0.3729 d2.loss_bbox: 0.1655 d2.loss_iou: 0.2942 d3.loss_cls: 0.3690 d3.loss_bbox: 0.1632 d3.loss_iou: 0.2930 d4.loss_cls: 0.3689 d4.loss_bbox: 0.1630 d4.loss_iou: 0.2930 enc_loss_cls: 0.4183 enc_loss_bbox: 0.1915 enc_loss_iou: 0.3337 dn_loss_cls: 0.1191 dn_loss_bbox: 0.2085 dn_loss_iou: 0.2460 d0.dn_loss_cls: 0.1949 d0.dn_loss_bbox: 0.3775 d0.dn_loss_iou: 0.3959 d1.dn_loss_cls: 0.1453 d1.dn_loss_bbox: 0.2490 d1.dn_loss_iou: 0.2823 d2.dn_loss_cls: 0.1303 d2.dn_loss_bbox: 0.2171 d2.dn_loss_iou: 0.2543 d3.dn_loss_cls: 0.1222 d3.dn_loss_bbox: 0.2099 d3.dn_loss_iou: 0.2475 d4.dn_loss_cls: 0.1183 d4.dn_loss_bbox: 0.2086 d4.dn_loss_iou: 0.2460 d1.loss_lmm_region: 0.1543 loss_lmm_image: 0.8654 2024/11/02 18:32:57 - mmengine - INFO - Iter(train) [ 23800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:18:43 time: 0.9837 data_time: 0.0171 memory: 21033 grad_norm: 21.3139 loss: 10.4373 loss_cls: 0.3486 loss_bbox: 0.1520 loss_iou: 0.2596 d0.loss_cls: 0.3868 d0.loss_bbox: 0.1685 d0.loss_iou: 0.2767 d1.loss_cls: 0.3667 d1.loss_bbox: 0.1601 d1.loss_iou: 0.2653 d2.loss_cls: 0.3603 d2.loss_bbox: 0.1552 d2.loss_iou: 0.2608 d3.loss_cls: 0.3595 d3.loss_bbox: 0.1513 d3.loss_iou: 0.2579 d4.loss_cls: 0.3520 d4.loss_bbox: 0.1512 d4.loss_iou: 0.2591 enc_loss_cls: 0.4017 enc_loss_bbox: 0.1861 enc_loss_iou: 0.3028 dn_loss_cls: 0.1272 dn_loss_bbox: 0.1747 dn_loss_iou: 0.2320 d0.dn_loss_cls: 0.2195 d0.dn_loss_bbox: 0.3201 d0.dn_loss_iou: 0.3873 d1.dn_loss_cls: 0.1725 d1.dn_loss_bbox: 0.2085 d1.dn_loss_iou: 0.2675 d2.dn_loss_cls: 0.1550 d2.dn_loss_bbox: 0.1819 d2.dn_loss_iou: 0.2405 d3.dn_loss_cls: 0.1432 d3.dn_loss_bbox: 0.1756 d3.dn_loss_iou: 0.2337 d4.dn_loss_cls: 0.1321 d4.dn_loss_bbox: 0.1747 d4.dn_loss_iou: 0.2321 d1.loss_lmm_region: 0.1665 loss_lmm_image: 0.9107 2024/11/02 18:34:36 - mmengine - INFO - Iter(train) [ 23900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:17:09 time: 0.9816 data_time: 0.0171 memory: 21191 grad_norm: 21.4959 loss: 9.6377 loss_cls: 0.2995 loss_bbox: 0.1348 loss_iou: 0.2377 d0.loss_cls: 0.3261 d0.loss_bbox: 0.1529 d0.loss_iou: 0.2629 d1.loss_cls: 0.3091 d1.loss_bbox: 0.1462 d1.loss_iou: 0.2528 d2.loss_cls: 0.3090 d2.loss_bbox: 0.1391 d2.loss_iou: 0.2410 d3.loss_cls: 0.3003 d3.loss_bbox: 0.1380 d3.loss_iou: 0.2390 d4.loss_cls: 0.3001 d4.loss_bbox: 0.1343 d4.loss_iou: 0.2379 enc_loss_cls: 0.3500 enc_loss_bbox: 0.1621 enc_loss_iou: 0.2785 dn_loss_cls: 0.1050 dn_loss_bbox: 0.1718 dn_loss_iou: 0.2273 d0.dn_loss_cls: 0.1905 d0.dn_loss_bbox: 0.3365 d0.dn_loss_iou: 0.3851 d1.dn_loss_cls: 0.1349 d1.dn_loss_bbox: 0.2114 d1.dn_loss_iou: 0.2664 d2.dn_loss_cls: 0.1204 d2.dn_loss_bbox: 0.1799 d2.dn_loss_iou: 0.2363 d3.dn_loss_cls: 0.1099 d3.dn_loss_bbox: 0.1723 d3.dn_loss_iou: 0.2288 d4.dn_loss_cls: 0.1066 d4.dn_loss_bbox: 0.1718 d4.dn_loss_iou: 0.2273 d1.loss_lmm_region: 0.1929 loss_lmm_image: 0.9113 2024/11/02 18:36:14 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 18:36:14 - mmengine - INFO - Iter(train) [ 24000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:15:33 time: 1.0003 data_time: 0.0172 memory: 20539 grad_norm: 21.2741 loss: 10.4652 loss_cls: 0.3481 loss_bbox: 0.1418 loss_iou: 0.2978 d0.loss_cls: 0.3879 d0.loss_bbox: 0.1580 d0.loss_iou: 0.3207 d1.loss_cls: 0.3687 d1.loss_bbox: 0.1515 d1.loss_iou: 0.3071 d2.loss_cls: 0.3607 d2.loss_bbox: 0.1461 d2.loss_iou: 0.2988 d3.loss_cls: 0.3551 d3.loss_bbox: 0.1450 d3.loss_iou: 0.2968 d4.loss_cls: 0.3515 d4.loss_bbox: 0.1404 d4.loss_iou: 0.2969 enc_loss_cls: 0.3988 enc_loss_bbox: 0.1719 enc_loss_iou: 0.3405 dn_loss_cls: 0.1024 dn_loss_bbox: 0.1683 dn_loss_iou: 0.2329 d0.dn_loss_cls: 0.1884 d0.dn_loss_bbox: 0.3207 d0.dn_loss_iou: 0.3925 d1.dn_loss_cls: 0.1332 d1.dn_loss_bbox: 0.2037 d1.dn_loss_iou: 0.2693 d2.dn_loss_cls: 0.1203 d2.dn_loss_bbox: 0.1767 d2.dn_loss_iou: 0.2432 d3.dn_loss_cls: 0.1107 d3.dn_loss_bbox: 0.1698 d3.dn_loss_iou: 0.2345 d4.dn_loss_cls: 0.1034 d4.dn_loss_bbox: 0.1685 d4.dn_loss_iou: 0.2329 d1.loss_lmm_region: 0.2060 loss_lmm_image: 0.9036 2024/11/02 18:37:52 - mmengine - INFO - Iter(train) [ 24100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:13:58 time: 0.9759 data_time: 0.0172 memory: 20632 grad_norm: 23.7380 loss: 9.7335 loss_cls: 0.2780 loss_bbox: 0.1375 loss_iou: 0.2626 d0.loss_cls: 0.3145 d0.loss_bbox: 0.1488 d0.loss_iou: 0.2780 d1.loss_cls: 0.2975 d1.loss_bbox: 0.1402 d1.loss_iou: 0.2664 d2.loss_cls: 0.2868 d2.loss_bbox: 0.1373 d2.loss_iou: 0.2607 d3.loss_cls: 0.2832 d3.loss_bbox: 0.1373 d3.loss_iou: 0.2617 d4.loss_cls: 0.2791 d4.loss_bbox: 0.1379 d4.loss_iou: 0.2626 enc_loss_cls: 0.3290 enc_loss_bbox: 0.1611 enc_loss_iou: 0.2923 dn_loss_cls: 0.1104 dn_loss_bbox: 0.1779 dn_loss_iou: 0.2291 d0.dn_loss_cls: 0.1948 d0.dn_loss_bbox: 0.3484 d0.dn_loss_iou: 0.3865 d1.dn_loss_cls: 0.1384 d1.dn_loss_bbox: 0.2092 d1.dn_loss_iou: 0.2642 d2.dn_loss_cls: 0.1228 d2.dn_loss_bbox: 0.1873 d2.dn_loss_iou: 0.2385 d3.dn_loss_cls: 0.1132 d3.dn_loss_bbox: 0.1794 d3.dn_loss_iou: 0.2306 d4.dn_loss_cls: 0.1107 d4.dn_loss_bbox: 0.1779 d4.dn_loss_iou: 0.2291 d1.loss_lmm_region: 0.1926 loss_lmm_image: 0.9400 2024/11/02 18:39:31 - mmengine - INFO - Iter(train) [ 24200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:12:23 time: 0.9867 data_time: 0.0172 memory: 20595 grad_norm: 21.0333 loss: 9.4905 loss_cls: 0.2811 loss_bbox: 0.1335 loss_iou: 0.2452 d0.loss_cls: 0.3139 d0.loss_bbox: 0.1428 d0.loss_iou: 0.2586 d1.loss_cls: 0.2979 d1.loss_bbox: 0.1340 d1.loss_iou: 0.2516 d2.loss_cls: 0.2930 d2.loss_bbox: 0.1320 d2.loss_iou: 0.2464 d3.loss_cls: 0.2889 d3.loss_bbox: 0.1302 d3.loss_iou: 0.2448 d4.loss_cls: 0.2838 d4.loss_bbox: 0.1326 d4.loss_iou: 0.2438 enc_loss_cls: 0.3327 enc_loss_bbox: 0.1550 enc_loss_iou: 0.2791 dn_loss_cls: 0.0968 dn_loss_bbox: 0.1792 dn_loss_iou: 0.2263 d0.dn_loss_cls: 0.1811 d0.dn_loss_bbox: 0.3400 d0.dn_loss_iou: 0.3807 d1.dn_loss_cls: 0.1285 d1.dn_loss_bbox: 0.2187 d1.dn_loss_iou: 0.2636 d2.dn_loss_cls: 0.1145 d2.dn_loss_bbox: 0.1908 d2.dn_loss_iou: 0.2365 d3.dn_loss_cls: 0.1036 d3.dn_loss_bbox: 0.1812 d3.dn_loss_iou: 0.2279 d4.dn_loss_cls: 0.0968 d4.dn_loss_bbox: 0.1793 d4.dn_loss_iou: 0.2264 d1.loss_lmm_region: 0.1708 loss_lmm_image: 0.9270 2024/11/02 18:41:08 - mmengine - INFO - Iter(train) [ 24300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:10:44 time: 0.9757 data_time: 0.0171 memory: 20608 grad_norm: 23.6206 loss: 10.0881 loss_cls: 0.3054 loss_bbox: 0.1488 loss_iou: 0.2734 d0.loss_cls: 0.3341 d0.loss_bbox: 0.1644 d0.loss_iou: 0.2939 d1.loss_cls: 0.3176 d1.loss_bbox: 0.1566 d1.loss_iou: 0.2798 d2.loss_cls: 0.3156 d2.loss_bbox: 0.1490 d2.loss_iou: 0.2739 d3.loss_cls: 0.3132 d3.loss_bbox: 0.1477 d3.loss_iou: 0.2698 d4.loss_cls: 0.3050 d4.loss_bbox: 0.1489 d4.loss_iou: 0.2728 enc_loss_cls: 0.3622 enc_loss_bbox: 0.1725 enc_loss_iou: 0.3091 dn_loss_cls: 0.1142 dn_loss_bbox: 0.1671 dn_loss_iou: 0.2340 d0.dn_loss_cls: 0.2059 d0.dn_loss_bbox: 0.3448 d0.dn_loss_iou: 0.3995 d1.dn_loss_cls: 0.1474 d1.dn_loss_bbox: 0.2114 d1.dn_loss_iou: 0.2744 d2.dn_loss_cls: 0.1272 d2.dn_loss_bbox: 0.1805 d2.dn_loss_iou: 0.2453 d3.dn_loss_cls: 0.1183 d3.dn_loss_bbox: 0.1687 d3.dn_loss_iou: 0.2353 d4.dn_loss_cls: 0.1140 d4.dn_loss_bbox: 0.1670 d4.dn_loss_iou: 0.2337 d1.loss_lmm_region: 0.1777 loss_lmm_image: 0.9081 2024/11/02 18:42:47 - mmengine - INFO - Iter(train) [ 24400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:09:10 time: 0.9747 data_time: 0.0171 memory: 20862 grad_norm: 22.5580 loss: 10.4975 loss_cls: 0.3441 loss_bbox: 0.1625 loss_iou: 0.3036 d0.loss_cls: 0.3890 d0.loss_bbox: 0.1744 d0.loss_iou: 0.3213 d1.loss_cls: 0.3653 d1.loss_bbox: 0.1684 d1.loss_iou: 0.3135 d2.loss_cls: 0.3565 d2.loss_bbox: 0.1630 d2.loss_iou: 0.3069 d3.loss_cls: 0.3496 d3.loss_bbox: 0.1634 d3.loss_iou: 0.3051 d4.loss_cls: 0.3448 d4.loss_bbox: 0.1638 d4.loss_iou: 0.3045 enc_loss_cls: 0.3973 enc_loss_bbox: 0.1891 enc_loss_iou: 0.3455 dn_loss_cls: 0.0852 dn_loss_bbox: 0.1726 dn_loss_iou: 0.2380 d0.dn_loss_cls: 0.1751 d0.dn_loss_bbox: 0.3290 d0.dn_loss_iou: 0.3946 d1.dn_loss_cls: 0.1180 d1.dn_loss_bbox: 0.2052 d1.dn_loss_iou: 0.2721 d2.dn_loss_cls: 0.1002 d2.dn_loss_bbox: 0.1820 d2.dn_loss_iou: 0.2469 d3.dn_loss_cls: 0.0907 d3.dn_loss_bbox: 0.1741 d3.dn_loss_iou: 0.2393 d4.dn_loss_cls: 0.0865 d4.dn_loss_bbox: 0.1726 d4.dn_loss_iou: 0.2380 d1.loss_lmm_region: 0.1600 loss_lmm_image: 0.8859 2024/11/02 18:44:26 - mmengine - INFO - Iter(train) [ 24500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:07:37 time: 0.9987 data_time: 0.0171 memory: 21660 grad_norm: 23.2368 loss: 9.4374 loss_cls: 0.2907 loss_bbox: 0.1279 loss_iou: 0.2437 d0.loss_cls: 0.3212 d0.loss_bbox: 0.1417 d0.loss_iou: 0.2637 d1.loss_cls: 0.3046 d1.loss_bbox: 0.1330 d1.loss_iou: 0.2545 d2.loss_cls: 0.2951 d2.loss_bbox: 0.1268 d2.loss_iou: 0.2479 d3.loss_cls: 0.2936 d3.loss_bbox: 0.1276 d3.loss_iou: 0.2467 d4.loss_cls: 0.2892 d4.loss_bbox: 0.1291 d4.loss_iou: 0.2454 enc_loss_cls: 0.3292 enc_loss_bbox: 0.1587 enc_loss_iou: 0.2926 dn_loss_cls: 0.1124 dn_loss_bbox: 0.1712 dn_loss_iou: 0.2212 d0.dn_loss_cls: 0.1827 d0.dn_loss_bbox: 0.3229 d0.dn_loss_iou: 0.3774 d1.dn_loss_cls: 0.1350 d1.dn_loss_bbox: 0.2040 d1.dn_loss_iou: 0.2565 d2.dn_loss_cls: 0.1224 d2.dn_loss_bbox: 0.1805 d2.dn_loss_iou: 0.2311 d3.dn_loss_cls: 0.1149 d3.dn_loss_bbox: 0.1717 d3.dn_loss_iou: 0.2229 d4.dn_loss_cls: 0.1115 d4.dn_loss_bbox: 0.1712 d4.dn_loss_iou: 0.2212 d1.loss_lmm_region: 0.1590 loss_lmm_image: 0.8850 2024/11/02 18:46:05 - mmengine - INFO - Iter(train) [ 24600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:06:03 time: 0.9807 data_time: 0.0172 memory: 21778 grad_norm: 24.0729 loss: 9.9422 loss_cls: 0.3093 loss_bbox: 0.1510 loss_iou: 0.2969 d0.loss_cls: 0.3482 d0.loss_bbox: 0.1684 d0.loss_iou: 0.3152 d1.loss_cls: 0.3297 d1.loss_bbox: 0.1564 d1.loss_iou: 0.3031 d2.loss_cls: 0.3205 d2.loss_bbox: 0.1540 d2.loss_iou: 0.2989 d3.loss_cls: 0.3127 d3.loss_bbox: 0.1525 d3.loss_iou: 0.2985 d4.loss_cls: 0.3095 d4.loss_bbox: 0.1523 d4.loss_iou: 0.2957 enc_loss_cls: 0.3726 enc_loss_bbox: 0.1852 enc_loss_iou: 0.3382 dn_loss_cls: 0.0869 dn_loss_bbox: 0.1570 dn_loss_iou: 0.2266 d0.dn_loss_cls: 0.1696 d0.dn_loss_bbox: 0.2931 d0.dn_loss_iou: 0.3635 d1.dn_loss_cls: 0.1195 d1.dn_loss_bbox: 0.1869 d1.dn_loss_iou: 0.2565 d2.dn_loss_cls: 0.1043 d2.dn_loss_bbox: 0.1628 d2.dn_loss_iou: 0.2327 d3.dn_loss_cls: 0.0925 d3.dn_loss_bbox: 0.1570 d3.dn_loss_iou: 0.2274 d4.dn_loss_cls: 0.0877 d4.dn_loss_bbox: 0.1569 d4.dn_loss_iou: 0.2264 d1.loss_lmm_region: 0.1623 loss_lmm_image: 0.9041 2024/11/02 18:47:44 - mmengine - INFO - Iter(train) [ 24700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:04:32 time: 0.9929 data_time: 0.0172 memory: 21903 grad_norm: 23.4214 loss: 10.2050 loss_cls: 0.3028 loss_bbox: 0.1576 loss_iou: 0.2575 d0.loss_cls: 0.3425 d0.loss_bbox: 0.1676 d0.loss_iou: 0.2673 d1.loss_cls: 0.3264 d1.loss_bbox: 0.1644 d1.loss_iou: 0.2629 d2.loss_cls: 0.3150 d2.loss_bbox: 0.1616 d2.loss_iou: 0.2597 d3.loss_cls: 0.3090 d3.loss_bbox: 0.1611 d3.loss_iou: 0.2583 d4.loss_cls: 0.3055 d4.loss_bbox: 0.1575 d4.loss_iou: 0.2577 enc_loss_cls: 0.3518 enc_loss_bbox: 0.1867 enc_loss_iou: 0.2916 dn_loss_cls: 0.1073 dn_loss_bbox: 0.2007 dn_loss_iou: 0.2385 d0.dn_loss_cls: 0.1902 d0.dn_loss_bbox: 0.3738 d0.dn_loss_iou: 0.3999 d1.dn_loss_cls: 0.1353 d1.dn_loss_bbox: 0.2480 d1.dn_loss_iou: 0.2790 d2.dn_loss_cls: 0.1188 d2.dn_loss_bbox: 0.2129 d2.dn_loss_iou: 0.2501 d3.dn_loss_cls: 0.1125 d3.dn_loss_bbox: 0.2017 d3.dn_loss_iou: 0.2400 d4.dn_loss_cls: 0.1084 d4.dn_loss_bbox: 0.2006 d4.dn_loss_iou: 0.2383 d1.loss_lmm_region: 0.1923 loss_lmm_image: 0.8927 2024/11/02 18:49:22 - mmengine - INFO - Iter(train) [ 24800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:02:54 time: 0.9875 data_time: 0.0171 memory: 21242 grad_norm: 22.5561 loss: 11.4394 loss_cls: 0.3754 loss_bbox: 0.1788 loss_iou: 0.2838 d0.loss_cls: 0.4070 d0.loss_bbox: 0.2043 d0.loss_iou: 0.3134 d1.loss_cls: 0.3943 d1.loss_bbox: 0.1956 d1.loss_iou: 0.2988 d2.loss_cls: 0.3888 d2.loss_bbox: 0.1834 d2.loss_iou: 0.2876 d3.loss_cls: 0.3771 d3.loss_bbox: 0.1829 d3.loss_iou: 0.2885 d4.loss_cls: 0.3741 d4.loss_bbox: 0.1809 d4.loss_iou: 0.2854 enc_loss_cls: 0.4231 enc_loss_bbox: 0.2148 enc_loss_iou: 0.3283 dn_loss_cls: 0.1258 dn_loss_bbox: 0.2154 dn_loss_iou: 0.2536 d0.dn_loss_cls: 0.2197 d0.dn_loss_bbox: 0.3912 d0.dn_loss_iou: 0.4129 d1.dn_loss_cls: 0.1638 d1.dn_loss_bbox: 0.2544 d1.dn_loss_iou: 0.2880 d2.dn_loss_cls: 0.1469 d2.dn_loss_bbox: 0.2232 d2.dn_loss_iou: 0.2614 d3.dn_loss_cls: 0.1348 d3.dn_loss_bbox: 0.2162 d3.dn_loss_iou: 0.2545 d4.dn_loss_cls: 0.1279 d4.dn_loss_bbox: 0.2154 d4.dn_loss_iou: 0.2536 d1.loss_lmm_region: 0.2124 loss_lmm_image: 0.9019 2024/11/02 18:51:01 - mmengine - INFO - Iter(train) [ 24900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:01:21 time: 0.9998 data_time: 0.0171 memory: 20674 grad_norm: 27.6297 loss: 10.7387 loss_cls: 0.3352 loss_bbox: 0.1656 loss_iou: 0.3245 d0.loss_cls: 0.3601 d0.loss_bbox: 0.1896 d0.loss_iou: 0.3557 d1.loss_cls: 0.3564 d1.loss_bbox: 0.1758 d1.loss_iou: 0.3373 d2.loss_cls: 0.3478 d2.loss_bbox: 0.1697 d2.loss_iou: 0.3280 d3.loss_cls: 0.3411 d3.loss_bbox: 0.1685 d3.loss_iou: 0.3253 d4.loss_cls: 0.3344 d4.loss_bbox: 0.1658 d4.loss_iou: 0.3240 enc_loss_cls: 0.3900 enc_loss_bbox: 0.1993 enc_loss_iou: 0.3728 dn_loss_cls: 0.0941 dn_loss_bbox: 0.1734 dn_loss_iou: 0.2395 d0.dn_loss_cls: 0.1822 d0.dn_loss_bbox: 0.3206 d0.dn_loss_iou: 0.3956 d1.dn_loss_cls: 0.1273 d1.dn_loss_bbox: 0.2053 d1.dn_loss_iou: 0.2747 d2.dn_loss_cls: 0.1094 d2.dn_loss_bbox: 0.1817 d2.dn_loss_iou: 0.2486 d3.dn_loss_cls: 0.0996 d3.dn_loss_bbox: 0.1744 d3.dn_loss_iou: 0.2408 d4.dn_loss_cls: 0.0942 d4.dn_loss_bbox: 0.1735 d4.dn_loss_iou: 0.2394 d1.loss_lmm_region: 0.2006 loss_lmm_image: 0.8968 2024/11/02 18:52:39 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 18:52:39 - mmengine - INFO - Iter(train) [ 25000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:59:44 time: 0.9788 data_time: 0.0171 memory: 22306 grad_norm: 26.3088 loss: 10.2918 loss_cls: 0.3175 loss_bbox: 0.1660 loss_iou: 0.2828 d0.loss_cls: 0.3598 d0.loss_bbox: 0.1818 d0.loss_iou: 0.3064 d1.loss_cls: 0.3382 d1.loss_bbox: 0.1698 d1.loss_iou: 0.2899 d2.loss_cls: 0.3267 d2.loss_bbox: 0.1678 d2.loss_iou: 0.2862 d3.loss_cls: 0.3215 d3.loss_bbox: 0.1669 d3.loss_iou: 0.2837 d4.loss_cls: 0.3206 d4.loss_bbox: 0.1645 d4.loss_iou: 0.2821 enc_loss_cls: 0.3823 enc_loss_bbox: 0.1917 enc_loss_iou: 0.3244 dn_loss_cls: 0.0916 dn_loss_bbox: 0.1742 dn_loss_iou: 0.2344 d0.dn_loss_cls: 0.1917 d0.dn_loss_bbox: 0.3209 d0.dn_loss_iou: 0.3908 d1.dn_loss_cls: 0.1290 d1.dn_loss_bbox: 0.2075 d1.dn_loss_iou: 0.2700 d2.dn_loss_cls: 0.1078 d2.dn_loss_bbox: 0.1832 d2.dn_loss_iou: 0.2452 d3.dn_loss_cls: 0.0974 d3.dn_loss_bbox: 0.1758 d3.dn_loss_iou: 0.2358 d4.dn_loss_cls: 0.0924 d4.dn_loss_bbox: 0.1743 d4.dn_loss_iou: 0.2344 d1.loss_lmm_region: 0.1894 loss_lmm_image: 0.9155 2024/11/02 18:54:17 - mmengine - INFO - Iter(train) [ 25100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:58:08 time: 0.9729 data_time: 0.0171 memory: 22002 grad_norm: 26.9382 loss: 10.0353 loss_cls: 0.3177 loss_bbox: 0.1602 loss_iou: 0.2855 d0.loss_cls: 0.3491 d0.loss_bbox: 0.1741 d0.loss_iou: 0.3000 d1.loss_cls: 0.3462 d1.loss_bbox: 0.1625 d1.loss_iou: 0.2880 d2.loss_cls: 0.3359 d2.loss_bbox: 0.1544 d2.loss_iou: 0.2825 d3.loss_cls: 0.3256 d3.loss_bbox: 0.1555 d3.loss_iou: 0.2816 d4.loss_cls: 0.3183 d4.loss_bbox: 0.1575 d4.loss_iou: 0.2843 enc_loss_cls: 0.3675 enc_loss_bbox: 0.1873 enc_loss_iou: 0.3198 dn_loss_cls: 0.0821 dn_loss_bbox: 0.1701 dn_loss_iou: 0.2262 d0.dn_loss_cls: 0.1730 d0.dn_loss_bbox: 0.3286 d0.dn_loss_iou: 0.3780 d1.dn_loss_cls: 0.1155 d1.dn_loss_bbox: 0.2064 d1.dn_loss_iou: 0.2604 d2.dn_loss_cls: 0.0979 d2.dn_loss_bbox: 0.1797 d2.dn_loss_iou: 0.2348 d3.dn_loss_cls: 0.0869 d3.dn_loss_bbox: 0.1711 d3.dn_loss_iou: 0.2274 d4.dn_loss_cls: 0.0826 d4.dn_loss_bbox: 0.1702 d4.dn_loss_iou: 0.2261 d1.loss_lmm_region: 0.1666 loss_lmm_image: 0.8983 2024/11/02 18:55:55 - mmengine - INFO - Iter(train) [ 25200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:56:32 time: 0.9848 data_time: 0.0170 memory: 21413 grad_norm: 24.8071 loss: 9.2696 loss_cls: 0.2843 loss_bbox: 0.1194 loss_iou: 0.2321 d0.loss_cls: 0.3146 d0.loss_bbox: 0.1413 d0.loss_iou: 0.2598 d1.loss_cls: 0.2980 d1.loss_bbox: 0.1277 d1.loss_iou: 0.2441 d2.loss_cls: 0.2921 d2.loss_bbox: 0.1222 d2.loss_iou: 0.2363 d3.loss_cls: 0.2874 d3.loss_bbox: 0.1200 d3.loss_iou: 0.2335 d4.loss_cls: 0.2835 d4.loss_bbox: 0.1199 d4.loss_iou: 0.2327 enc_loss_cls: 0.3311 enc_loss_bbox: 0.1559 enc_loss_iou: 0.2801 dn_loss_cls: 0.0844 dn_loss_bbox: 0.1688 dn_loss_iou: 0.2273 d0.dn_loss_cls: 0.1718 d0.dn_loss_bbox: 0.3312 d0.dn_loss_iou: 0.3892 d1.dn_loss_cls: 0.1120 d1.dn_loss_bbox: 0.2074 d1.dn_loss_iou: 0.2657 d2.dn_loss_cls: 0.0947 d2.dn_loss_bbox: 0.1779 d2.dn_loss_iou: 0.2370 d3.dn_loss_cls: 0.0866 d3.dn_loss_bbox: 0.1701 d3.dn_loss_iou: 0.2289 d4.dn_loss_cls: 0.0840 d4.dn_loss_bbox: 0.1688 d4.dn_loss_iou: 0.2273 d1.loss_lmm_region: 0.1834 loss_lmm_image: 0.9370 2024/11/02 18:57:34 - mmengine - INFO - Iter(train) [ 25300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:54:56 time: 0.9773 data_time: 0.0172 memory: 21351 grad_norm: 20.9814 loss: 9.8255 loss_cls: 0.3051 loss_bbox: 0.1447 loss_iou: 0.2664 d0.loss_cls: 0.3404 d0.loss_bbox: 0.1627 d0.loss_iou: 0.2877 d1.loss_cls: 0.3197 d1.loss_bbox: 0.1511 d1.loss_iou: 0.2787 d2.loss_cls: 0.3159 d2.loss_bbox: 0.1480 d2.loss_iou: 0.2714 d3.loss_cls: 0.3116 d3.loss_bbox: 0.1447 d3.loss_iou: 0.2690 d4.loss_cls: 0.3082 d4.loss_bbox: 0.1449 d4.loss_iou: 0.2668 enc_loss_cls: 0.3560 enc_loss_bbox: 0.1735 enc_loss_iou: 0.3104 dn_loss_cls: 0.0925 dn_loss_bbox: 0.1714 dn_loss_iou: 0.2391 d0.dn_loss_cls: 0.1745 d0.dn_loss_bbox: 0.3122 d0.dn_loss_iou: 0.3896 d1.dn_loss_cls: 0.1232 d1.dn_loss_bbox: 0.2016 d1.dn_loss_iou: 0.2730 d2.dn_loss_cls: 0.1073 d2.dn_loss_bbox: 0.1779 d2.dn_loss_iou: 0.2481 d3.dn_loss_cls: 0.0975 d3.dn_loss_bbox: 0.1734 d3.dn_loss_iou: 0.2407 d4.dn_loss_cls: 0.0943 d4.dn_loss_bbox: 0.1715 d4.dn_loss_iou: 0.2392 d1.loss_lmm_region: 0.1812 loss_lmm_image: 0.8404 2024/11/02 18:59:11 - mmengine - INFO - Iter(train) [ 25400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:53:16 time: 0.9678 data_time: 0.0172 memory: 20978 grad_norm: 22.0967 loss: 9.9588 loss_cls: 0.3140 loss_bbox: 0.1420 loss_iou: 0.2701 d0.loss_cls: 0.3519 d0.loss_bbox: 0.1461 d0.loss_iou: 0.2771 d1.loss_cls: 0.3374 d1.loss_bbox: 0.1396 d1.loss_iou: 0.2683 d2.loss_cls: 0.3262 d2.loss_bbox: 0.1395 d2.loss_iou: 0.2658 d3.loss_cls: 0.3303 d3.loss_bbox: 0.1359 d3.loss_iou: 0.2630 d4.loss_cls: 0.3189 d4.loss_bbox: 0.1399 d4.loss_iou: 0.2660 enc_loss_cls: 0.3731 enc_loss_bbox: 0.1586 enc_loss_iou: 0.2986 dn_loss_cls: 0.1160 dn_loss_bbox: 0.1731 dn_loss_iou: 0.2295 d0.dn_loss_cls: 0.1863 d0.dn_loss_bbox: 0.3183 d0.dn_loss_iou: 0.3743 d1.dn_loss_cls: 0.1367 d1.dn_loss_bbox: 0.2017 d1.dn_loss_iou: 0.2603 d2.dn_loss_cls: 0.1256 d2.dn_loss_bbox: 0.1801 d2.dn_loss_iou: 0.2379 d3.dn_loss_cls: 0.1192 d3.dn_loss_bbox: 0.1744 d3.dn_loss_iou: 0.2310 d4.dn_loss_cls: 0.1172 d4.dn_loss_bbox: 0.1730 d4.dn_loss_iou: 0.2294 d1.loss_lmm_region: 0.1990 loss_lmm_image: 0.9134 2024/11/02 19:00:49 - mmengine - INFO - Iter(train) [ 25500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:51:40 time: 0.9809 data_time: 0.0173 memory: 20569 grad_norm: 22.9779 loss: 9.9435 loss_cls: 0.3121 loss_bbox: 0.1468 loss_iou: 0.2596 d0.loss_cls: 0.3432 d0.loss_bbox: 0.1645 d0.loss_iou: 0.2845 d1.loss_cls: 0.3222 d1.loss_bbox: 0.1598 d1.loss_iou: 0.2732 d2.loss_cls: 0.3206 d2.loss_bbox: 0.1503 d2.loss_iou: 0.2622 d3.loss_cls: 0.3165 d3.loss_bbox: 0.1488 d3.loss_iou: 0.2610 d4.loss_cls: 0.3134 d4.loss_bbox: 0.1476 d4.loss_iou: 0.2606 enc_loss_cls: 0.3636 enc_loss_bbox: 0.1794 enc_loss_iou: 0.3061 dn_loss_cls: 0.0910 dn_loss_bbox: 0.1853 dn_loss_iou: 0.2256 d0.dn_loss_cls: 0.1745 d0.dn_loss_bbox: 0.3486 d0.dn_loss_iou: 0.3803 d1.dn_loss_cls: 0.1224 d1.dn_loss_bbox: 0.2235 d1.dn_loss_iou: 0.2601 d2.dn_loss_cls: 0.1061 d2.dn_loss_bbox: 0.1979 d2.dn_loss_iou: 0.2350 d3.dn_loss_cls: 0.0972 d3.dn_loss_bbox: 0.1874 d3.dn_loss_iou: 0.2274 d4.dn_loss_cls: 0.0918 d4.dn_loss_bbox: 0.1851 d4.dn_loss_iou: 0.2254 d1.loss_lmm_region: 0.1711 loss_lmm_image: 0.9116 2024/11/02 19:02:29 - mmengine - INFO - Iter(train) [ 25600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:50:10 time: 1.0118 data_time: 0.0172 memory: 20484 grad_norm: 28.6037 loss: 9.2256 loss_cls: 0.2948 loss_bbox: 0.1375 loss_iou: 0.2323 d0.loss_cls: 0.3332 d0.loss_bbox: 0.1478 d0.loss_iou: 0.2430 d1.loss_cls: 0.3153 d1.loss_bbox: 0.1362 d1.loss_iou: 0.2346 d2.loss_cls: 0.3013 d2.loss_bbox: 0.1374 d2.loss_iou: 0.2317 d3.loss_cls: 0.2996 d3.loss_bbox: 0.1361 d3.loss_iou: 0.2312 d4.loss_cls: 0.2971 d4.loss_bbox: 0.1357 d4.loss_iou: 0.2307 enc_loss_cls: 0.3412 enc_loss_bbox: 0.1616 enc_loss_iou: 0.2681 dn_loss_cls: 0.1039 dn_loss_bbox: 0.1590 dn_loss_iou: 0.1999 d0.dn_loss_cls: 0.1818 d0.dn_loss_bbox: 0.3152 d0.dn_loss_iou: 0.3431 d1.dn_loss_cls: 0.1324 d1.dn_loss_bbox: 0.2045 d1.dn_loss_iou: 0.2352 d2.dn_loss_cls: 0.1136 d2.dn_loss_bbox: 0.1718 d2.dn_loss_iou: 0.2088 d3.dn_loss_cls: 0.1056 d3.dn_loss_bbox: 0.1607 d3.dn_loss_iou: 0.2018 d4.dn_loss_cls: 0.1032 d4.dn_loss_bbox: 0.1589 d4.dn_loss_iou: 0.1997 d1.loss_lmm_region: 0.1845 loss_lmm_image: 0.8956 2024/11/02 19:04:07 - mmengine - INFO - Iter(train) [ 25700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:48:31 time: 0.9734 data_time: 0.0172 memory: 21292 grad_norm: 21.8638 loss: 10.9331 loss_cls: 0.3570 loss_bbox: 0.1664 loss_iou: 0.3397 d0.loss_cls: 0.3884 d0.loss_bbox: 0.1851 d0.loss_iou: 0.3661 d1.loss_cls: 0.3769 d1.loss_bbox: 0.1711 d1.loss_iou: 0.3502 d2.loss_cls: 0.3641 d2.loss_bbox: 0.1690 d2.loss_iou: 0.3435 d3.loss_cls: 0.3618 d3.loss_bbox: 0.1704 d3.loss_iou: 0.3385 d4.loss_cls: 0.3559 d4.loss_bbox: 0.1711 d4.loss_iou: 0.3428 enc_loss_cls: 0.4025 enc_loss_bbox: 0.2072 enc_loss_iou: 0.3908 dn_loss_cls: 0.0831 dn_loss_bbox: 0.1721 dn_loss_iou: 0.2381 d0.dn_loss_cls: 0.1712 d0.dn_loss_bbox: 0.3189 d0.dn_loss_iou: 0.3929 d1.dn_loss_cls: 0.1176 d1.dn_loss_bbox: 0.2072 d1.dn_loss_iou: 0.2766 d2.dn_loss_cls: 0.0978 d2.dn_loss_bbox: 0.1801 d2.dn_loss_iou: 0.2482 d3.dn_loss_cls: 0.0872 d3.dn_loss_bbox: 0.1727 d3.dn_loss_iou: 0.2397 d4.dn_loss_cls: 0.0829 d4.dn_loss_bbox: 0.1722 d4.dn_loss_iou: 0.2380 d1.loss_lmm_region: 0.1775 loss_lmm_image: 0.9408 2024/11/02 19:05:45 - mmengine - INFO - Iter(train) [ 25800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:46:58 time: 0.9794 data_time: 0.0173 memory: 21733 grad_norm: 21.3654 loss: 9.2130 loss_cls: 0.2903 loss_bbox: 0.1196 loss_iou: 0.2370 d0.loss_cls: 0.3171 d0.loss_bbox: 0.1335 d0.loss_iou: 0.2527 d1.loss_cls: 0.2998 d1.loss_bbox: 0.1234 d1.loss_iou: 0.2416 d2.loss_cls: 0.2953 d2.loss_bbox: 0.1201 d2.loss_iou: 0.2383 d3.loss_cls: 0.2935 d3.loss_bbox: 0.1199 d3.loss_iou: 0.2368 d4.loss_cls: 0.2916 d4.loss_bbox: 0.1192 d4.loss_iou: 0.2373 enc_loss_cls: 0.3302 enc_loss_bbox: 0.1486 enc_loss_iou: 0.2718 dn_loss_cls: 0.1057 dn_loss_bbox: 0.1585 dn_loss_iou: 0.2140 d0.dn_loss_cls: 0.1906 d0.dn_loss_bbox: 0.3179 d0.dn_loss_iou: 0.3631 d1.dn_loss_cls: 0.1374 d1.dn_loss_bbox: 0.1951 d1.dn_loss_iou: 0.2466 d2.dn_loss_cls: 0.1205 d2.dn_loss_bbox: 0.1667 d2.dn_loss_iou: 0.2216 d3.dn_loss_cls: 0.1122 d3.dn_loss_bbox: 0.1593 d3.dn_loss_iou: 0.2152 d4.dn_loss_cls: 0.1073 d4.dn_loss_bbox: 0.1586 d4.dn_loss_iou: 0.2139 d1.loss_lmm_region: 0.1788 loss_lmm_image: 0.9124 2024/11/02 19:07:24 - mmengine - INFO - Iter(train) [ 25900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:45:20 time: 0.9806 data_time: 0.0171 memory: 20675 grad_norm: 22.3412 loss: 10.1544 loss_cls: 0.2919 loss_bbox: 0.1566 loss_iou: 0.2821 d0.loss_cls: 0.3227 d0.loss_bbox: 0.1712 d0.loss_iou: 0.2984 d1.loss_cls: 0.3015 d1.loss_bbox: 0.1648 d1.loss_iou: 0.2870 d2.loss_cls: 0.2993 d2.loss_bbox: 0.1592 d2.loss_iou: 0.2806 d3.loss_cls: 0.2961 d3.loss_bbox: 0.1603 d3.loss_iou: 0.2823 d4.loss_cls: 0.2909 d4.loss_bbox: 0.1562 d4.loss_iou: 0.2828 enc_loss_cls: 0.3385 enc_loss_bbox: 0.1882 enc_loss_iou: 0.3201 dn_loss_cls: 0.0970 dn_loss_bbox: 0.1853 dn_loss_iou: 0.2466 d0.dn_loss_cls: 0.1985 d0.dn_loss_bbox: 0.3558 d0.dn_loss_iou: 0.4154 d1.dn_loss_cls: 0.1391 d1.dn_loss_bbox: 0.2228 d1.dn_loss_iou: 0.2834 d2.dn_loss_cls: 0.1175 d2.dn_loss_bbox: 0.1946 d2.dn_loss_iou: 0.2563 d3.dn_loss_cls: 0.1038 d3.dn_loss_bbox: 0.1868 d3.dn_loss_iou: 0.2485 d4.dn_loss_cls: 0.0979 d4.dn_loss_bbox: 0.1853 d4.dn_loss_iou: 0.2465 d1.loss_lmm_region: 0.1684 loss_lmm_image: 0.8745 2024/11/02 19:09:02 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 19:09:02 - mmengine - INFO - Iter(train) [ 26000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:43:45 time: 0.9806 data_time: 0.0171 memory: 19793 grad_norm: 24.7543 loss: 10.2895 loss_cls: 0.3013 loss_bbox: 0.1592 loss_iou: 0.2728 d0.loss_cls: 0.3302 d0.loss_bbox: 0.1760 d0.loss_iou: 0.2963 d1.loss_cls: 0.3180 d1.loss_bbox: 0.1647 d1.loss_iou: 0.2811 d2.loss_cls: 0.3143 d2.loss_bbox: 0.1619 d2.loss_iou: 0.2727 d3.loss_cls: 0.3080 d3.loss_bbox: 0.1596 d3.loss_iou: 0.2711 d4.loss_cls: 0.3025 d4.loss_bbox: 0.1600 d4.loss_iou: 0.2730 enc_loss_cls: 0.3571 enc_loss_bbox: 0.1868 enc_loss_iou: 0.3184 dn_loss_cls: 0.0902 dn_loss_bbox: 0.1915 dn_loss_iou: 0.2587 d0.dn_loss_cls: 0.1833 d0.dn_loss_bbox: 0.3649 d0.dn_loss_iou: 0.4277 d1.dn_loss_cls: 0.1213 d1.dn_loss_bbox: 0.2366 d1.dn_loss_iou: 0.2999 d2.dn_loss_cls: 0.1014 d2.dn_loss_bbox: 0.2037 d2.dn_loss_iou: 0.2691 d3.dn_loss_cls: 0.0919 d3.dn_loss_bbox: 0.1939 d3.dn_loss_iou: 0.2608 d4.dn_loss_cls: 0.0890 d4.dn_loss_bbox: 0.1915 d4.dn_loss_iou: 0.2587 d1.loss_lmm_region: 0.1677 loss_lmm_image: 0.9028 2024/11/02 19:10:39 - mmengine - INFO - Iter(train) [ 26100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:42:05 time: 0.9794 data_time: 0.0172 memory: 19851 grad_norm: 24.4496 loss: 9.5900 loss_cls: 0.3044 loss_bbox: 0.1341 loss_iou: 0.2566 d0.loss_cls: 0.3411 d0.loss_bbox: 0.1479 d0.loss_iou: 0.2718 d1.loss_cls: 0.3224 d1.loss_bbox: 0.1372 d1.loss_iou: 0.2618 d2.loss_cls: 0.3154 d2.loss_bbox: 0.1346 d2.loss_iou: 0.2584 d3.loss_cls: 0.3071 d3.loss_bbox: 0.1381 d3.loss_iou: 0.2601 d4.loss_cls: 0.3074 d4.loss_bbox: 0.1338 d4.loss_iou: 0.2570 enc_loss_cls: 0.3599 enc_loss_bbox: 0.1591 enc_loss_iou: 0.2905 dn_loss_cls: 0.0940 dn_loss_bbox: 0.1579 dn_loss_iou: 0.2197 d0.dn_loss_cls: 0.1891 d0.dn_loss_bbox: 0.3093 d0.dn_loss_iou: 0.3646 d1.dn_loss_cls: 0.1374 d1.dn_loss_bbox: 0.1932 d1.dn_loss_iou: 0.2525 d2.dn_loss_cls: 0.1170 d2.dn_loss_bbox: 0.1688 d2.dn_loss_iou: 0.2289 d3.dn_loss_cls: 0.1036 d3.dn_loss_bbox: 0.1594 d3.dn_loss_iou: 0.2215 d4.dn_loss_cls: 0.0959 d4.dn_loss_bbox: 0.1579 d4.dn_loss_iou: 0.2197 d1.loss_lmm_region: 0.2001 loss_lmm_image: 0.9008 2024/11/02 19:12:17 - mmengine - INFO - Iter(train) [ 26200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:40:27 time: 0.9678 data_time: 0.0171 memory: 20683 grad_norm: 20.3335 loss: 10.9475 loss_cls: 0.3431 loss_bbox: 0.1673 loss_iou: 0.3080 d0.loss_cls: 0.3758 d0.loss_bbox: 0.1982 d0.loss_iou: 0.3341 d1.loss_cls: 0.3554 d1.loss_bbox: 0.1843 d1.loss_iou: 0.3211 d2.loss_cls: 0.3534 d2.loss_bbox: 0.1740 d2.loss_iou: 0.3121 d3.loss_cls: 0.3477 d3.loss_bbox: 0.1711 d3.loss_iou: 0.3098 d4.loss_cls: 0.3434 d4.loss_bbox: 0.1680 d4.loss_iou: 0.3086 enc_loss_cls: 0.3890 enc_loss_bbox: 0.2052 enc_loss_iou: 0.3514 dn_loss_cls: 0.1033 dn_loss_bbox: 0.1924 dn_loss_iou: 0.2478 d0.dn_loss_cls: 0.1907 d0.dn_loss_bbox: 0.3557 d0.dn_loss_iou: 0.4161 d1.dn_loss_cls: 0.1365 d1.dn_loss_bbox: 0.2358 d1.dn_loss_iou: 0.2884 d2.dn_loss_cls: 0.1196 d2.dn_loss_bbox: 0.1987 d2.dn_loss_iou: 0.2569 d3.dn_loss_cls: 0.1082 d3.dn_loss_bbox: 0.1938 d3.dn_loss_iou: 0.2492 d4.dn_loss_cls: 0.1037 d4.dn_loss_bbox: 0.1924 d4.dn_loss_iou: 0.2477 d1.loss_lmm_region: 0.1867 loss_lmm_image: 0.9028 2024/11/02 19:13:56 - mmengine - INFO - Iter(train) [ 26300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:38:52 time: 0.9929 data_time: 0.0173 memory: 21000 grad_norm: 25.5385 loss: 9.6366 loss_cls: 0.2921 loss_bbox: 0.1331 loss_iou: 0.2466 d0.loss_cls: 0.3174 d0.loss_bbox: 0.1581 d0.loss_iou: 0.2673 d1.loss_cls: 0.2953 d1.loss_bbox: 0.1469 d1.loss_iou: 0.2582 d2.loss_cls: 0.2949 d2.loss_bbox: 0.1409 d2.loss_iou: 0.2502 d3.loss_cls: 0.2939 d3.loss_bbox: 0.1353 d3.loss_iou: 0.2475 d4.loss_cls: 0.2933 d4.loss_bbox: 0.1314 d4.loss_iou: 0.2462 enc_loss_cls: 0.3338 enc_loss_bbox: 0.1716 enc_loss_iou: 0.2884 dn_loss_cls: 0.1079 dn_loss_bbox: 0.1739 dn_loss_iou: 0.2299 d0.dn_loss_cls: 0.1937 d0.dn_loss_bbox: 0.3451 d0.dn_loss_iou: 0.3928 d1.dn_loss_cls: 0.1370 d1.dn_loss_bbox: 0.2128 d1.dn_loss_iou: 0.2672 d2.dn_loss_cls: 0.1193 d2.dn_loss_bbox: 0.1833 d2.dn_loss_iou: 0.2397 d3.dn_loss_cls: 0.1097 d3.dn_loss_bbox: 0.1740 d3.dn_loss_iou: 0.2311 d4.dn_loss_cls: 0.1055 d4.dn_loss_bbox: 0.1737 d4.dn_loss_iou: 0.2298 d1.loss_lmm_region: 0.1814 loss_lmm_image: 0.8867 2024/11/02 19:15:33 - mmengine - INFO - Iter(train) [ 26400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:37:08 time: 0.9650 data_time: 0.0171 memory: 20773 grad_norm: 26.9793 loss: 9.4814 loss_cls: 0.2743 loss_bbox: 0.1484 loss_iou: 0.2664 d0.loss_cls: 0.3099 d0.loss_bbox: 0.1636 d0.loss_iou: 0.2839 d1.loss_cls: 0.2895 d1.loss_bbox: 0.1566 d1.loss_iou: 0.2735 d2.loss_cls: 0.2858 d2.loss_bbox: 0.1453 d2.loss_iou: 0.2648 d3.loss_cls: 0.2827 d3.loss_bbox: 0.1456 d3.loss_iou: 0.2637 d4.loss_cls: 0.2753 d4.loss_bbox: 0.1485 d4.loss_iou: 0.2662 enc_loss_cls: 0.3303 enc_loss_bbox: 0.1771 enc_loss_iou: 0.3012 dn_loss_cls: 0.0910 dn_loss_bbox: 0.1583 dn_loss_iou: 0.2205 d0.dn_loss_cls: 0.1779 d0.dn_loss_bbox: 0.3007 d0.dn_loss_iou: 0.3694 d1.dn_loss_cls: 0.1215 d1.dn_loss_bbox: 0.1929 d1.dn_loss_iou: 0.2560 d2.dn_loss_cls: 0.1058 d2.dn_loss_bbox: 0.1652 d2.dn_loss_iou: 0.2281 d3.dn_loss_cls: 0.0962 d3.dn_loss_bbox: 0.1593 d3.dn_loss_iou: 0.2217 d4.dn_loss_cls: 0.0910 d4.dn_loss_bbox: 0.1582 d4.dn_loss_iou: 0.2206 d1.loss_lmm_region: 0.1820 loss_lmm_image: 0.9125 2024/11/02 19:17:11 - mmengine - INFO - Iter(train) [ 26500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:35:33 time: 0.9803 data_time: 0.0173 memory: 21507 grad_norm: 22.8056 loss: 10.0588 loss_cls: 0.3223 loss_bbox: 0.1450 loss_iou: 0.2894 d0.loss_cls: 0.3660 d0.loss_bbox: 0.1554 d0.loss_iou: 0.3024 d1.loss_cls: 0.3407 d1.loss_bbox: 0.1436 d1.loss_iou: 0.2935 d2.loss_cls: 0.3315 d2.loss_bbox: 0.1429 d2.loss_iou: 0.2922 d3.loss_cls: 0.3279 d3.loss_bbox: 0.1450 d3.loss_iou: 0.2927 d4.loss_cls: 0.3213 d4.loss_bbox: 0.1484 d4.loss_iou: 0.2919 enc_loss_cls: 0.3714 enc_loss_bbox: 0.1706 enc_loss_iou: 0.3315 dn_loss_cls: 0.0951 dn_loss_bbox: 0.1617 dn_loss_iou: 0.2323 d0.dn_loss_cls: 0.1772 d0.dn_loss_bbox: 0.3106 d0.dn_loss_iou: 0.3811 d1.dn_loss_cls: 0.1237 d1.dn_loss_bbox: 0.1958 d1.dn_loss_iou: 0.2673 d2.dn_loss_cls: 0.1083 d2.dn_loss_bbox: 0.1687 d2.dn_loss_iou: 0.2403 d3.dn_loss_cls: 0.1003 d3.dn_loss_bbox: 0.1624 d3.dn_loss_iou: 0.2328 d4.dn_loss_cls: 0.0961 d4.dn_loss_bbox: 0.1617 d4.dn_loss_iou: 0.2321 d1.loss_lmm_region: 0.1924 loss_lmm_image: 0.8932 2024/11/02 19:18:50 - mmengine - INFO - Iter(train) [ 26600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:33:57 time: 0.9762 data_time: 0.0171 memory: 20183 grad_norm: 23.2162 loss: 9.6279 loss_cls: 0.3024 loss_bbox: 0.1344 loss_iou: 0.2345 d0.loss_cls: 0.3230 d0.loss_bbox: 0.1592 d0.loss_iou: 0.2664 d1.loss_cls: 0.3170 d1.loss_bbox: 0.1456 d1.loss_iou: 0.2449 d2.loss_cls: 0.3077 d2.loss_bbox: 0.1422 d2.loss_iou: 0.2431 d3.loss_cls: 0.3066 d3.loss_bbox: 0.1365 d3.loss_iou: 0.2374 d4.loss_cls: 0.3009 d4.loss_bbox: 0.1344 d4.loss_iou: 0.2349 enc_loss_cls: 0.3417 enc_loss_bbox: 0.1742 enc_loss_iou: 0.2861 dn_loss_cls: 0.1037 dn_loss_bbox: 0.1816 dn_loss_iou: 0.2351 d0.dn_loss_cls: 0.1886 d0.dn_loss_bbox: 0.3250 d0.dn_loss_iou: 0.3912 d1.dn_loss_cls: 0.1361 d1.dn_loss_bbox: 0.2152 d1.dn_loss_iou: 0.2715 d2.dn_loss_cls: 0.1178 d2.dn_loss_bbox: 0.1911 d2.dn_loss_iou: 0.2450 d3.dn_loss_cls: 0.1080 d3.dn_loss_bbox: 0.1832 d3.dn_loss_iou: 0.2368 d4.dn_loss_cls: 0.1030 d4.dn_loss_bbox: 0.1815 d4.dn_loss_iou: 0.2350 d1.loss_lmm_region: 0.1740 loss_lmm_image: 0.8311 2024/11/02 19:20:28 - mmengine - INFO - Iter(train) [ 26700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:32:23 time: 0.9772 data_time: 0.0171 memory: 20665 grad_norm: 21.0273 loss: 9.0052 loss_cls: 0.2525 loss_bbox: 0.1208 loss_iou: 0.2159 d0.loss_cls: 0.2795 d0.loss_bbox: 0.1353 d0.loss_iou: 0.2326 d1.loss_cls: 0.2697 d1.loss_bbox: 0.1219 d1.loss_iou: 0.2193 d2.loss_cls: 0.2617 d2.loss_bbox: 0.1201 d2.loss_iou: 0.2173 d3.loss_cls: 0.2585 d3.loss_bbox: 0.1207 d3.loss_iou: 0.2168 d4.loss_cls: 0.2548 d4.loss_bbox: 0.1203 d4.loss_iou: 0.2159 enc_loss_cls: 0.2935 enc_loss_bbox: 0.1518 enc_loss_iou: 0.2569 dn_loss_cls: 0.1210 dn_loss_bbox: 0.1740 dn_loss_iou: 0.2136 d0.dn_loss_cls: 0.1914 d0.dn_loss_bbox: 0.3470 d0.dn_loss_iou: 0.3756 d1.dn_loss_cls: 0.1510 d1.dn_loss_bbox: 0.2096 d1.dn_loss_iou: 0.2476 d2.dn_loss_cls: 0.1350 d2.dn_loss_bbox: 0.1823 d2.dn_loss_iou: 0.2211 d3.dn_loss_cls: 0.1282 d3.dn_loss_bbox: 0.1753 d3.dn_loss_iou: 0.2150 d4.dn_loss_cls: 0.1219 d4.dn_loss_bbox: 0.1739 d4.dn_loss_iou: 0.2134 d1.loss_lmm_region: 0.1563 loss_lmm_image: 0.9163 2024/11/02 19:22:07 - mmengine - INFO - Iter(train) [ 26800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:30:48 time: 0.9933 data_time: 0.0173 memory: 20788 grad_norm: 21.7869 loss: 10.2345 loss_cls: 0.3325 loss_bbox: 0.1494 loss_iou: 0.2753 d0.loss_cls: 0.3748 d0.loss_bbox: 0.1716 d0.loss_iou: 0.3051 d1.loss_cls: 0.3513 d1.loss_bbox: 0.1563 d1.loss_iou: 0.2894 d2.loss_cls: 0.3414 d2.loss_bbox: 0.1507 d2.loss_iou: 0.2806 d3.loss_cls: 0.3353 d3.loss_bbox: 0.1523 d3.loss_iou: 0.2787 d4.loss_cls: 0.3327 d4.loss_bbox: 0.1491 d4.loss_iou: 0.2764 enc_loss_cls: 0.3947 enc_loss_bbox: 0.1795 enc_loss_iou: 0.3230 dn_loss_cls: 0.1077 dn_loss_bbox: 0.1706 dn_loss_iou: 0.2300 d0.dn_loss_cls: 0.1919 d0.dn_loss_bbox: 0.3247 d0.dn_loss_iou: 0.3957 d1.dn_loss_cls: 0.1385 d1.dn_loss_bbox: 0.2064 d1.dn_loss_iou: 0.2682 d2.dn_loss_cls: 0.1215 d2.dn_loss_bbox: 0.1795 d2.dn_loss_iou: 0.2397 d3.dn_loss_cls: 0.1111 d3.dn_loss_bbox: 0.1711 d3.dn_loss_iou: 0.2310 d4.dn_loss_cls: 0.1081 d4.dn_loss_bbox: 0.1704 d4.dn_loss_iou: 0.2299 d1.loss_lmm_region: 0.1737 loss_lmm_image: 0.8649 2024/11/02 19:23:45 - mmengine - INFO - Iter(train) [ 26900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:29:10 time: 0.9774 data_time: 0.0171 memory: 20643 grad_norm: 20.3643 loss: 9.7697 loss_cls: 0.2841 loss_bbox: 0.1421 loss_iou: 0.2380 d0.loss_cls: 0.3137 d0.loss_bbox: 0.1508 d0.loss_iou: 0.2543 d1.loss_cls: 0.3010 d1.loss_bbox: 0.1392 d1.loss_iou: 0.2441 d2.loss_cls: 0.2966 d2.loss_bbox: 0.1383 d2.loss_iou: 0.2376 d3.loss_cls: 0.2960 d3.loss_bbox: 0.1383 d3.loss_iou: 0.2363 d4.loss_cls: 0.2875 d4.loss_bbox: 0.1420 d4.loss_iou: 0.2383 enc_loss_cls: 0.3308 enc_loss_bbox: 0.1645 enc_loss_iou: 0.2722 dn_loss_cls: 0.0972 dn_loss_bbox: 0.1895 dn_loss_iou: 0.2384 d0.dn_loss_cls: 0.1989 d0.dn_loss_bbox: 0.3727 d0.dn_loss_iou: 0.3980 d1.dn_loss_cls: 0.1373 d1.dn_loss_bbox: 0.2297 d1.dn_loss_iou: 0.2759 d2.dn_loss_cls: 0.1175 d2.dn_loss_bbox: 0.1998 d2.dn_loss_iou: 0.2476 d3.dn_loss_cls: 0.1074 d3.dn_loss_bbox: 0.1920 d3.dn_loss_iou: 0.2405 d4.dn_loss_cls: 0.1004 d4.dn_loss_bbox: 0.1895 d4.dn_loss_iou: 0.2385 d1.loss_lmm_region: 0.2199 loss_lmm_image: 0.9332 2024/11/02 19:25:22 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 19:25:22 - mmengine - INFO - Iter(train) [ 27000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:27:29 time: 0.9710 data_time: 0.0172 memory: 21164 grad_norm: 21.6451 loss: 10.6110 loss_cls: 0.3767 loss_bbox: 0.1513 loss_iou: 0.2695 d0.loss_cls: 0.4283 d0.loss_bbox: 0.1651 d0.loss_iou: 0.2907 d1.loss_cls: 0.3987 d1.loss_bbox: 0.1528 d1.loss_iou: 0.2766 d2.loss_cls: 0.3911 d2.loss_bbox: 0.1522 d2.loss_iou: 0.2726 d3.loss_cls: 0.3830 d3.loss_bbox: 0.1518 d3.loss_iou: 0.2703 d4.loss_cls: 0.3820 d4.loss_bbox: 0.1494 d4.loss_iou: 0.2686 enc_loss_cls: 0.4397 enc_loss_bbox: 0.1911 enc_loss_iou: 0.3253 dn_loss_cls: 0.1242 dn_loss_bbox: 0.1697 dn_loss_iou: 0.2219 d0.dn_loss_cls: 0.2134 d0.dn_loss_bbox: 0.3313 d0.dn_loss_iou: 0.3828 d1.dn_loss_cls: 0.1575 d1.dn_loss_bbox: 0.2098 d1.dn_loss_iou: 0.2600 d2.dn_loss_cls: 0.1385 d2.dn_loss_bbox: 0.1818 d2.dn_loss_iou: 0.2324 d3.dn_loss_cls: 0.1305 d3.dn_loss_bbox: 0.1710 d3.dn_loss_iou: 0.2235 d4.dn_loss_cls: 0.1240 d4.dn_loss_bbox: 0.1699 d4.dn_loss_iou: 0.2220 d1.loss_lmm_region: 0.1783 loss_lmm_image: 0.8818 2024/11/02 19:27:00 - mmengine - INFO - Iter(train) [ 27100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:25:51 time: 0.9773 data_time: 0.0172 memory: 22966 grad_norm: 26.7460 loss: 10.2017 loss_cls: 0.3043 loss_bbox: 0.1518 loss_iou: 0.2832 d0.loss_cls: 0.3378 d0.loss_bbox: 0.1626 d0.loss_iou: 0.2963 d1.loss_cls: 0.3228 d1.loss_bbox: 0.1527 d1.loss_iou: 0.2863 d2.loss_cls: 0.3143 d2.loss_bbox: 0.1508 d2.loss_iou: 0.2811 d3.loss_cls: 0.3059 d3.loss_bbox: 0.1511 d3.loss_iou: 0.2824 d4.loss_cls: 0.3068 d4.loss_bbox: 0.1520 d4.loss_iou: 0.2825 enc_loss_cls: 0.3589 enc_loss_bbox: 0.1791 enc_loss_iou: 0.3223 dn_loss_cls: 0.0970 dn_loss_bbox: 0.1840 dn_loss_iou: 0.2523 d0.dn_loss_cls: 0.1893 d0.dn_loss_bbox: 0.3477 d0.dn_loss_iou: 0.4144 d1.dn_loss_cls: 0.1298 d1.dn_loss_bbox: 0.2200 d1.dn_loss_iou: 0.2887 d2.dn_loss_cls: 0.1090 d2.dn_loss_bbox: 0.1943 d2.dn_loss_iou: 0.2614 d3.dn_loss_cls: 0.1031 d3.dn_loss_bbox: 0.1857 d3.dn_loss_iou: 0.2543 d4.dn_loss_cls: 0.0976 d4.dn_loss_bbox: 0.1840 d4.dn_loss_iou: 0.2523 d1.loss_lmm_region: 0.1880 loss_lmm_image: 0.8638 2024/11/02 19:28:39 - mmengine - INFO - Iter(train) [ 27200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:24:18 time: 0.9851 data_time: 0.0172 memory: 21205 grad_norm: 23.5361 loss: 10.2563 loss_cls: 0.3782 loss_bbox: 0.1264 loss_iou: 0.2553 d0.loss_cls: 0.4180 d0.loss_bbox: 0.1418 d0.loss_iou: 0.2781 d1.loss_cls: 0.3928 d1.loss_bbox: 0.1326 d1.loss_iou: 0.2645 d2.loss_cls: 0.3851 d2.loss_bbox: 0.1310 d2.loss_iou: 0.2579 d3.loss_cls: 0.3819 d3.loss_bbox: 0.1266 d3.loss_iou: 0.2548 d4.loss_cls: 0.3816 d4.loss_bbox: 0.1256 d4.loss_iou: 0.2535 enc_loss_cls: 0.4360 enc_loss_bbox: 0.1546 enc_loss_iou: 0.2951 dn_loss_cls: 0.1337 dn_loss_bbox: 0.1629 dn_loss_iou: 0.2162 d0.dn_loss_cls: 0.2106 d0.dn_loss_bbox: 0.3147 d0.dn_loss_iou: 0.3704 d1.dn_loss_cls: 0.1525 d1.dn_loss_bbox: 0.2018 d1.dn_loss_iou: 0.2549 d2.dn_loss_cls: 0.1388 d2.dn_loss_bbox: 0.1755 d2.dn_loss_iou: 0.2271 d3.dn_loss_cls: 0.1341 d3.dn_loss_bbox: 0.1647 d3.dn_loss_iou: 0.2182 d4.dn_loss_cls: 0.1355 d4.dn_loss_bbox: 0.1627 d4.dn_loss_iou: 0.2162 d1.loss_lmm_region: 0.2003 loss_lmm_image: 0.8945 2024/11/02 19:30:18 - mmengine - INFO - Iter(train) [ 27300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:22:43 time: 0.9833 data_time: 0.0174 memory: 20919 grad_norm: 25.2042 loss: 9.8129 loss_cls: 0.2604 loss_bbox: 0.1605 loss_iou: 0.2814 d0.loss_cls: 0.2929 d0.loss_bbox: 0.1700 d0.loss_iou: 0.2992 d1.loss_cls: 0.2756 d1.loss_bbox: 0.1616 d1.loss_iou: 0.2862 d2.loss_cls: 0.2684 d2.loss_bbox: 0.1586 d2.loss_iou: 0.2821 d3.loss_cls: 0.2647 d3.loss_bbox: 0.1604 d3.loss_iou: 0.2819 d4.loss_cls: 0.2608 d4.loss_bbox: 0.1604 d4.loss_iou: 0.2812 enc_loss_cls: 0.3051 enc_loss_bbox: 0.1829 enc_loss_iou: 0.3157 dn_loss_cls: 0.0707 dn_loss_bbox: 0.1938 dn_loss_iou: 0.2466 d0.dn_loss_cls: 0.1605 d0.dn_loss_bbox: 0.3618 d0.dn_loss_iou: 0.3915 d1.dn_loss_cls: 0.1037 d1.dn_loss_bbox: 0.2256 d1.dn_loss_iou: 0.2758 d2.dn_loss_cls: 0.0850 d2.dn_loss_bbox: 0.2024 d2.dn_loss_iou: 0.2547 d3.dn_loss_cls: 0.0759 d3.dn_loss_bbox: 0.1949 d3.dn_loss_iou: 0.2477 d4.dn_loss_cls: 0.0708 d4.dn_loss_bbox: 0.1938 d4.dn_loss_iou: 0.2465 d1.loss_lmm_region: 0.1718 loss_lmm_image: 0.9294 2024/11/02 19:31:56 - mmengine - INFO - Iter(train) [ 27400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:21:08 time: 0.9829 data_time: 0.0172 memory: 21492 grad_norm: 26.7943 loss: 10.6571 loss_cls: 0.3503 loss_bbox: 0.1613 loss_iou: 0.3139 d0.loss_cls: 0.3852 d0.loss_bbox: 0.1819 d0.loss_iou: 0.3366 d1.loss_cls: 0.3698 d1.loss_bbox: 0.1709 d1.loss_iou: 0.3177 d2.loss_cls: 0.3641 d2.loss_bbox: 0.1622 d2.loss_iou: 0.3161 d3.loss_cls: 0.3569 d3.loss_bbox: 0.1633 d3.loss_iou: 0.3119 d4.loss_cls: 0.3507 d4.loss_bbox: 0.1619 d4.loss_iou: 0.3134 enc_loss_cls: 0.3981 enc_loss_bbox: 0.1944 enc_loss_iou: 0.3587 dn_loss_cls: 0.0877 dn_loss_bbox: 0.1810 dn_loss_iou: 0.2307 d0.dn_loss_cls: 0.1791 d0.dn_loss_bbox: 0.3235 d0.dn_loss_iou: 0.3801 d1.dn_loss_cls: 0.1225 d1.dn_loss_bbox: 0.2126 d1.dn_loss_iou: 0.2631 d2.dn_loss_cls: 0.1045 d2.dn_loss_bbox: 0.1888 d2.dn_loss_iou: 0.2393 d3.dn_loss_cls: 0.0953 d3.dn_loss_bbox: 0.1830 d3.dn_loss_iou: 0.2325 d4.dn_loss_cls: 0.0893 d4.dn_loss_bbox: 0.1812 d4.dn_loss_iou: 0.2306 d1.loss_lmm_region: 0.1964 loss_lmm_image: 0.8964 2024/11/02 19:33:34 - mmengine - INFO - Iter(train) [ 27500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:19:29 time: 0.9825 data_time: 0.0171 memory: 20867 grad_norm: 23.6145 loss: 10.1415 loss_cls: 0.3614 loss_bbox: 0.1528 loss_iou: 0.2824 d0.loss_cls: 0.4049 d0.loss_bbox: 0.1634 d0.loss_iou: 0.3024 d1.loss_cls: 0.3856 d1.loss_bbox: 0.1560 d1.loss_iou: 0.2896 d2.loss_cls: 0.3758 d2.loss_bbox: 0.1482 d2.loss_iou: 0.2818 d3.loss_cls: 0.3627 d3.loss_bbox: 0.1531 d3.loss_iou: 0.2830 d4.loss_cls: 0.3576 d4.loss_bbox: 0.1548 d4.loss_iou: 0.2844 enc_loss_cls: 0.4194 enc_loss_bbox: 0.1795 enc_loss_iou: 0.3271 dn_loss_cls: 0.0985 dn_loss_bbox: 0.1488 dn_loss_iou: 0.2166 d0.dn_loss_cls: 0.1750 d0.dn_loss_bbox: 0.2824 d0.dn_loss_iou: 0.3577 d1.dn_loss_cls: 0.1258 d1.dn_loss_bbox: 0.1780 d1.dn_loss_iou: 0.2489 d2.dn_loss_cls: 0.1105 d2.dn_loss_bbox: 0.1569 d2.dn_loss_iou: 0.2237 d3.dn_loss_cls: 0.1017 d3.dn_loss_bbox: 0.1497 d3.dn_loss_iou: 0.2175 d4.dn_loss_cls: 0.0977 d4.dn_loss_bbox: 0.1488 d4.dn_loss_iou: 0.2167 d1.loss_lmm_region: 0.1605 loss_lmm_image: 0.9003 2024/11/02 19:35:12 - mmengine - INFO - Iter(train) [ 27600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:17:53 time: 0.9866 data_time: 0.0171 memory: 20763 grad_norm: 23.3688 loss: 10.0905 loss_cls: 0.2969 loss_bbox: 0.1510 loss_iou: 0.2940 d0.loss_cls: 0.3372 d0.loss_bbox: 0.1624 d0.loss_iou: 0.3077 d1.loss_cls: 0.3175 d1.loss_bbox: 0.1538 d1.loss_iou: 0.2941 d2.loss_cls: 0.3045 d2.loss_bbox: 0.1551 d2.loss_iou: 0.2962 d3.loss_cls: 0.3015 d3.loss_bbox: 0.1515 d3.loss_iou: 0.2924 d4.loss_cls: 0.3004 d4.loss_bbox: 0.1497 d4.loss_iou: 0.2913 enc_loss_cls: 0.3560 enc_loss_bbox: 0.1737 enc_loss_iou: 0.3273 dn_loss_cls: 0.0828 dn_loss_bbox: 0.1885 dn_loss_iou: 0.2485 d0.dn_loss_cls: 0.1744 d0.dn_loss_bbox: 0.3355 d0.dn_loss_iou: 0.3979 d1.dn_loss_cls: 0.1177 d1.dn_loss_bbox: 0.2194 d1.dn_loss_iou: 0.2800 d2.dn_loss_cls: 0.1020 d2.dn_loss_bbox: 0.1956 d2.dn_loss_iou: 0.2566 d3.dn_loss_cls: 0.0895 d3.dn_loss_bbox: 0.1897 d3.dn_loss_iou: 0.2496 d4.dn_loss_cls: 0.0834 d4.dn_loss_bbox: 0.1884 d4.dn_loss_iou: 0.2485 d1.loss_lmm_region: 0.1639 loss_lmm_image: 0.8644 2024/11/02 19:36:51 - mmengine - INFO - Iter(train) [ 27700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:16:17 time: 0.9975 data_time: 0.0173 memory: 22319 grad_norm: 21.2362 loss: 10.3074 loss_cls: 0.3230 loss_bbox: 0.1514 loss_iou: 0.2346 d0.loss_cls: 0.3582 d0.loss_bbox: 0.1692 d0.loss_iou: 0.2556 d1.loss_cls: 0.3441 d1.loss_bbox: 0.1577 d1.loss_iou: 0.2418 d2.loss_cls: 0.3323 d2.loss_bbox: 0.1510 d2.loss_iou: 0.2347 d3.loss_cls: 0.3268 d3.loss_bbox: 0.1509 d3.loss_iou: 0.2350 d4.loss_cls: 0.3233 d4.loss_bbox: 0.1504 d4.loss_iou: 0.2353 enc_loss_cls: 0.3774 enc_loss_bbox: 0.1871 enc_loss_iou: 0.2785 dn_loss_cls: 0.1120 dn_loss_bbox: 0.2095 dn_loss_iou: 0.2285 d0.dn_loss_cls: 0.2133 d0.dn_loss_bbox: 0.3936 d0.dn_loss_iou: 0.3944 d1.dn_loss_cls: 0.1481 d1.dn_loss_bbox: 0.2497 d1.dn_loss_iou: 0.2661 d2.dn_loss_cls: 0.1285 d2.dn_loss_bbox: 0.2212 d2.dn_loss_iou: 0.2382 d3.dn_loss_cls: 0.1182 d3.dn_loss_bbox: 0.2117 d3.dn_loss_iou: 0.2303 d4.dn_loss_cls: 0.1138 d4.dn_loss_bbox: 0.2094 d4.dn_loss_iou: 0.2284 d1.loss_lmm_region: 0.1935 loss_lmm_image: 0.9810 2024/11/02 19:38:28 - mmengine - INFO - Iter(train) [ 27800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:14:39 time: 0.9750 data_time: 0.0173 memory: 21110 grad_norm: 22.7996 loss: 9.8099 loss_cls: 0.2983 loss_bbox: 0.1525 loss_iou: 0.2540 d0.loss_cls: 0.3348 d0.loss_bbox: 0.1679 d0.loss_iou: 0.2721 d1.loss_cls: 0.3139 d1.loss_bbox: 0.1575 d1.loss_iou: 0.2647 d2.loss_cls: 0.3119 d2.loss_bbox: 0.1494 d2.loss_iou: 0.2524 d3.loss_cls: 0.3051 d3.loss_bbox: 0.1509 d3.loss_iou: 0.2529 d4.loss_cls: 0.2984 d4.loss_bbox: 0.1539 d4.loss_iou: 0.2539 enc_loss_cls: 0.3574 enc_loss_bbox: 0.1768 enc_loss_iou: 0.2926 dn_loss_cls: 0.1112 dn_loss_bbox: 0.1733 dn_loss_iou: 0.2189 d0.dn_loss_cls: 0.1899 d0.dn_loss_bbox: 0.3377 d0.dn_loss_iou: 0.3734 d1.dn_loss_cls: 0.1396 d1.dn_loss_bbox: 0.2140 d1.dn_loss_iou: 0.2559 d2.dn_loss_cls: 0.1248 d2.dn_loss_bbox: 0.1839 d2.dn_loss_iou: 0.2291 d3.dn_loss_cls: 0.1184 d3.dn_loss_bbox: 0.1742 d3.dn_loss_iou: 0.2202 d4.dn_loss_cls: 0.1125 d4.dn_loss_bbox: 0.1731 d4.dn_loss_iou: 0.2189 d1.loss_lmm_region: 0.1731 loss_lmm_image: 0.8966 2024/11/02 19:40:07 - mmengine - INFO - Iter(train) [ 27900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:13:04 time: 0.9783 data_time: 0.0173 memory: 21269 grad_norm: 25.8340 loss: 9.6439 loss_cls: 0.3010 loss_bbox: 0.1398 loss_iou: 0.2666 d0.loss_cls: 0.3366 d0.loss_bbox: 0.1588 d0.loss_iou: 0.2878 d1.loss_cls: 0.3206 d1.loss_bbox: 0.1457 d1.loss_iou: 0.2724 d2.loss_cls: 0.3101 d2.loss_bbox: 0.1439 d2.loss_iou: 0.2680 d3.loss_cls: 0.3079 d3.loss_bbox: 0.1401 d3.loss_iou: 0.2670 d4.loss_cls: 0.3009 d4.loss_bbox: 0.1414 d4.loss_iou: 0.2695 enc_loss_cls: 0.3578 enc_loss_bbox: 0.1668 enc_loss_iou: 0.3076 dn_loss_cls: 0.0856 dn_loss_bbox: 0.1647 dn_loss_iou: 0.2243 d0.dn_loss_cls: 0.1682 d0.dn_loss_bbox: 0.3170 d0.dn_loss_iou: 0.3788 d1.dn_loss_cls: 0.1170 d1.dn_loss_bbox: 0.1997 d1.dn_loss_iou: 0.2596 d2.dn_loss_cls: 0.0994 d2.dn_loss_bbox: 0.1728 d2.dn_loss_iou: 0.2334 d3.dn_loss_cls: 0.0912 d3.dn_loss_bbox: 0.1655 d3.dn_loss_iou: 0.2254 d4.dn_loss_cls: 0.0864 d4.dn_loss_bbox: 0.1648 d4.dn_loss_iou: 0.2243 d1.loss_lmm_region: 0.1695 loss_lmm_image: 0.8862 2024/11/02 19:41:45 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 19:41:45 - mmengine - INFO - Iter(train) [ 28000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:11:26 time: 0.9720 data_time: 0.0173 memory: 21155 grad_norm: 24.9694 loss: 10.2578 loss_cls: 0.3256 loss_bbox: 0.1492 loss_iou: 0.3050 d0.loss_cls: 0.3596 d0.loss_bbox: 0.1602 d0.loss_iou: 0.3175 d1.loss_cls: 0.3413 d1.loss_bbox: 0.1587 d1.loss_iou: 0.3129 d2.loss_cls: 0.3340 d2.loss_bbox: 0.1519 d2.loss_iou: 0.3030 d3.loss_cls: 0.3319 d3.loss_bbox: 0.1492 d3.loss_iou: 0.3023 d4.loss_cls: 0.3292 d4.loss_bbox: 0.1473 d4.loss_iou: 0.3031 enc_loss_cls: 0.3762 enc_loss_bbox: 0.1712 enc_loss_iou: 0.3386 dn_loss_cls: 0.0996 dn_loss_bbox: 0.1555 dn_loss_iou: 0.2409 d0.dn_loss_cls: 0.1937 d0.dn_loss_bbox: 0.3101 d0.dn_loss_iou: 0.3951 d1.dn_loss_cls: 0.1346 d1.dn_loss_bbox: 0.1908 d1.dn_loss_iou: 0.2741 d2.dn_loss_cls: 0.1161 d2.dn_loss_bbox: 0.1674 d2.dn_loss_iou: 0.2502 d3.dn_loss_cls: 0.1059 d3.dn_loss_bbox: 0.1574 d3.dn_loss_iou: 0.2422 d4.dn_loss_cls: 0.0998 d4.dn_loss_bbox: 0.1555 d4.dn_loss_iou: 0.2408 d1.loss_lmm_region: 0.1733 loss_lmm_image: 0.8871 2024/11/02 19:43:23 - mmengine - INFO - Iter(train) [ 28100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:09:50 time: 0.9802 data_time: 0.0174 memory: 21101 grad_norm: 23.3598 loss: 11.3115 loss_cls: 0.3805 loss_bbox: 0.1797 loss_iou: 0.3308 d0.loss_cls: 0.4272 d0.loss_bbox: 0.1936 d0.loss_iou: 0.3505 d1.loss_cls: 0.4090 d1.loss_bbox: 0.1816 d1.loss_iou: 0.3350 d2.loss_cls: 0.3994 d2.loss_bbox: 0.1770 d2.loss_iou: 0.3261 d3.loss_cls: 0.3924 d3.loss_bbox: 0.1787 d3.loss_iou: 0.3283 d4.loss_cls: 0.3865 d4.loss_bbox: 0.1772 d4.loss_iou: 0.3269 enc_loss_cls: 0.4488 enc_loss_bbox: 0.2146 enc_loss_iou: 0.3833 dn_loss_cls: 0.0946 dn_loss_bbox: 0.1785 dn_loss_iou: 0.2450 d0.dn_loss_cls: 0.1921 d0.dn_loss_bbox: 0.3371 d0.dn_loss_iou: 0.4041 d1.dn_loss_cls: 0.1342 d1.dn_loss_bbox: 0.2164 d1.dn_loss_iou: 0.2824 d2.dn_loss_cls: 0.1118 d2.dn_loss_bbox: 0.1883 d2.dn_loss_iou: 0.2550 d3.dn_loss_cls: 0.1013 d3.dn_loss_bbox: 0.1804 d3.dn_loss_iou: 0.2470 d4.dn_loss_cls: 0.0964 d4.dn_loss_bbox: 0.1786 d4.dn_loss_iou: 0.2450 d1.loss_lmm_region: 0.1727 loss_lmm_image: 0.9238 2024/11/02 19:45:02 - mmengine - INFO - Iter(train) [ 28200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:08:13 time: 0.9861 data_time: 0.0172 memory: 21691 grad_norm: 22.5275 loss: 10.6280 loss_cls: 0.3237 loss_bbox: 0.1583 loss_iou: 0.3184 d0.loss_cls: 0.3634 d0.loss_bbox: 0.1787 d0.loss_iou: 0.3429 d1.loss_cls: 0.3473 d1.loss_bbox: 0.1660 d1.loss_iou: 0.3280 d2.loss_cls: 0.3408 d2.loss_bbox: 0.1566 d2.loss_iou: 0.3203 d3.loss_cls: 0.3352 d3.loss_bbox: 0.1590 d3.loss_iou: 0.3193 d4.loss_cls: 0.3236 d4.loss_bbox: 0.1587 d4.loss_iou: 0.3192 enc_loss_cls: 0.3834 enc_loss_bbox: 0.1799 enc_loss_iou: 0.3572 dn_loss_cls: 0.1010 dn_loss_bbox: 0.1867 dn_loss_iou: 0.2391 d0.dn_loss_cls: 0.1932 d0.dn_loss_bbox: 0.3373 d0.dn_loss_iou: 0.3934 d1.dn_loss_cls: 0.1332 d1.dn_loss_bbox: 0.2193 d1.dn_loss_iou: 0.2734 d2.dn_loss_cls: 0.1168 d2.dn_loss_bbox: 0.1932 d2.dn_loss_iou: 0.2478 d3.dn_loss_cls: 0.1091 d3.dn_loss_bbox: 0.1873 d3.dn_loss_iou: 0.2404 d4.dn_loss_cls: 0.1041 d4.dn_loss_bbox: 0.1870 d4.dn_loss_iou: 0.2392 d1.loss_lmm_region: 0.1565 loss_lmm_image: 0.8901 2024/11/02 19:46:40 - mmengine - INFO - Iter(train) [ 28300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:06:37 time: 0.9828 data_time: 0.0172 memory: 20512 grad_norm: 20.8417 loss: 9.8998 loss_cls: 0.3024 loss_bbox: 0.1456 loss_iou: 0.2843 d0.loss_cls: 0.3428 d0.loss_bbox: 0.1604 d0.loss_iou: 0.3090 d1.loss_cls: 0.3272 d1.loss_bbox: 0.1477 d1.loss_iou: 0.2915 d2.loss_cls: 0.3191 d2.loss_bbox: 0.1455 d2.loss_iou: 0.2838 d3.loss_cls: 0.3164 d3.loss_bbox: 0.1401 d3.loss_iou: 0.2782 d4.loss_cls: 0.3068 d4.loss_bbox: 0.1430 d4.loss_iou: 0.2814 enc_loss_cls: 0.3648 enc_loss_bbox: 0.1757 enc_loss_iou: 0.3338 dn_loss_cls: 0.0954 dn_loss_bbox: 0.1686 dn_loss_iou: 0.2271 d0.dn_loss_cls: 0.1738 d0.dn_loss_bbox: 0.3267 d0.dn_loss_iou: 0.3775 d1.dn_loss_cls: 0.1226 d1.dn_loss_bbox: 0.2034 d1.dn_loss_iou: 0.2610 d2.dn_loss_cls: 0.1071 d2.dn_loss_bbox: 0.1763 d2.dn_loss_iou: 0.2355 d3.dn_loss_cls: 0.0977 d3.dn_loss_bbox: 0.1700 d3.dn_loss_iou: 0.2286 d4.dn_loss_cls: 0.0967 d4.dn_loss_bbox: 0.1685 d4.dn_loss_iou: 0.2270 d1.loss_lmm_region: 0.1576 loss_lmm_image: 0.8791 2024/11/02 19:48:18 - mmengine - INFO - Iter(train) [ 28400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:04:59 time: 0.9780 data_time: 0.0171 memory: 20637 grad_norm: 19.8677 loss: 9.4803 loss_cls: 0.2685 loss_bbox: 0.1551 loss_iou: 0.2555 d0.loss_cls: 0.3078 d0.loss_bbox: 0.1683 d0.loss_iou: 0.2728 d1.loss_cls: 0.2853 d1.loss_bbox: 0.1593 d1.loss_iou: 0.2624 d2.loss_cls: 0.2787 d2.loss_bbox: 0.1574 d2.loss_iou: 0.2555 d3.loss_cls: 0.2743 d3.loss_bbox: 0.1532 d3.loss_iou: 0.2533 d4.loss_cls: 0.2704 d4.loss_bbox: 0.1537 d4.loss_iou: 0.2537 enc_loss_cls: 0.3330 enc_loss_bbox: 0.1753 enc_loss_iou: 0.2867 dn_loss_cls: 0.0894 dn_loss_bbox: 0.1807 dn_loss_iou: 0.2183 d0.dn_loss_cls: 0.1789 d0.dn_loss_bbox: 0.3448 d0.dn_loss_iou: 0.3704 d1.dn_loss_cls: 0.1211 d1.dn_loss_bbox: 0.2170 d1.dn_loss_iou: 0.2529 d2.dn_loss_cls: 0.1041 d2.dn_loss_bbox: 0.1902 d2.dn_loss_iou: 0.2267 d3.dn_loss_cls: 0.0967 d3.dn_loss_bbox: 0.1827 d3.dn_loss_iou: 0.2200 d4.dn_loss_cls: 0.0902 d4.dn_loss_bbox: 0.1808 d4.dn_loss_iou: 0.2183 d1.loss_lmm_region: 0.1628 loss_lmm_image: 0.8543 2024/11/02 19:49:55 - mmengine - INFO - Iter(train) [ 28500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:03:19 time: 0.9681 data_time: 0.0172 memory: 19995 grad_norm: 21.1746 loss: 10.4701 loss_cls: 0.3193 loss_bbox: 0.1479 loss_iou: 0.2885 d0.loss_cls: 0.3496 d0.loss_bbox: 0.1633 d0.loss_iou: 0.3093 d1.loss_cls: 0.3342 d1.loss_bbox: 0.1490 d1.loss_iou: 0.2923 d2.loss_cls: 0.3272 d2.loss_bbox: 0.1472 d2.loss_iou: 0.2853 d3.loss_cls: 0.3198 d3.loss_bbox: 0.1517 d3.loss_iou: 0.2919 d4.loss_cls: 0.3207 d4.loss_bbox: 0.1483 d4.loss_iou: 0.2884 enc_loss_cls: 0.3660 enc_loss_bbox: 0.1725 enc_loss_iou: 0.3299 dn_loss_cls: 0.0964 dn_loss_bbox: 0.1960 dn_loss_iou: 0.2584 d0.dn_loss_cls: 0.1947 d0.dn_loss_bbox: 0.3664 d0.dn_loss_iou: 0.4273 d1.dn_loss_cls: 0.1315 d1.dn_loss_bbox: 0.2286 d1.dn_loss_iou: 0.2936 d2.dn_loss_cls: 0.1135 d2.dn_loss_bbox: 0.2066 d2.dn_loss_iou: 0.2677 d3.dn_loss_cls: 0.1034 d3.dn_loss_bbox: 0.1977 d3.dn_loss_iou: 0.2601 d4.dn_loss_cls: 0.0969 d4.dn_loss_bbox: 0.1959 d4.dn_loss_iou: 0.2584 d1.loss_lmm_region: 0.1827 loss_lmm_image: 0.8918 2024/11/02 19:51:34 - mmengine - INFO - Iter(train) [ 28600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:01:43 time: 0.9791 data_time: 0.0172 memory: 21315 grad_norm: 23.3196 loss: 11.7785 loss_cls: 0.3986 loss_bbox: 0.1868 loss_iou: 0.3334 d0.loss_cls: 0.4269 d0.loss_bbox: 0.2074 d0.loss_iou: 0.3555 d1.loss_cls: 0.4095 d1.loss_bbox: 0.1973 d1.loss_iou: 0.3443 d2.loss_cls: 0.4106 d2.loss_bbox: 0.1872 d2.loss_iou: 0.3325 d3.loss_cls: 0.4011 d3.loss_bbox: 0.1890 d3.loss_iou: 0.3341 d4.loss_cls: 0.3984 d4.loss_bbox: 0.1893 d4.loss_iou: 0.3337 enc_loss_cls: 0.4504 enc_loss_bbox: 0.2191 enc_loss_iou: 0.3773 dn_loss_cls: 0.1388 dn_loss_bbox: 0.1942 dn_loss_iou: 0.2431 d0.dn_loss_cls: 0.2261 d0.dn_loss_bbox: 0.3474 d0.dn_loss_iou: 0.3886 d1.dn_loss_cls: 0.1701 d1.dn_loss_bbox: 0.2296 d1.dn_loss_iou: 0.2771 d2.dn_loss_cls: 0.1521 d2.dn_loss_bbox: 0.2043 d2.dn_loss_iou: 0.2519 d3.dn_loss_cls: 0.1447 d3.dn_loss_bbox: 0.1950 d3.dn_loss_iou: 0.2442 d4.dn_loss_cls: 0.1397 d4.dn_loss_bbox: 0.1943 d4.dn_loss_iou: 0.2432 d1.loss_lmm_region: 0.2182 loss_lmm_image: 0.8934 2024/11/02 19:53:12 - mmengine - INFO - Iter(train) [ 28700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:00:07 time: 0.9736 data_time: 0.0170 memory: 21690 grad_norm: 23.2743 loss: 9.6533 loss_cls: 0.2932 loss_bbox: 0.1282 loss_iou: 0.2451 d0.loss_cls: 0.3270 d0.loss_bbox: 0.1378 d0.loss_iou: 0.2566 d1.loss_cls: 0.3092 d1.loss_bbox: 0.1300 d1.loss_iou: 0.2466 d2.loss_cls: 0.3032 d2.loss_bbox: 0.1265 d2.loss_iou: 0.2440 d3.loss_cls: 0.2986 d3.loss_bbox: 0.1279 d3.loss_iou: 0.2466 d4.loss_cls: 0.2936 d4.loss_bbox: 0.1265 d4.loss_iou: 0.2449 enc_loss_cls: 0.3342 enc_loss_bbox: 0.1667 enc_loss_iou: 0.2816 dn_loss_cls: 0.1226 dn_loss_bbox: 0.1724 dn_loss_iou: 0.2262 d0.dn_loss_cls: 0.2085 d0.dn_loss_bbox: 0.3254 d0.dn_loss_iou: 0.3753 d1.dn_loss_cls: 0.1557 d1.dn_loss_bbox: 0.2070 d1.dn_loss_iou: 0.2592 d2.dn_loss_cls: 0.1379 d2.dn_loss_bbox: 0.1819 d2.dn_loss_iou: 0.2354 d3.dn_loss_cls: 0.1290 d3.dn_loss_bbox: 0.1739 d3.dn_loss_iou: 0.2280 d4.dn_loss_cls: 0.1222 d4.dn_loss_bbox: 0.1724 d4.dn_loss_iou: 0.2262 d1.loss_lmm_region: 0.2072 loss_lmm_image: 0.9192 2024/11/02 19:54:51 - mmengine - INFO - Iter(train) [ 28800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:58:33 time: 0.9772 data_time: 0.0171 memory: 20747 grad_norm: 23.7028 loss: 8.8619 loss_cls: 0.2825 loss_bbox: 0.1131 loss_iou: 0.2383 d0.loss_cls: 0.3071 d0.loss_bbox: 0.1252 d0.loss_iou: 0.2548 d1.loss_cls: 0.2920 d1.loss_bbox: 0.1166 d1.loss_iou: 0.2448 d2.loss_cls: 0.2872 d2.loss_bbox: 0.1128 d2.loss_iou: 0.2387 d3.loss_cls: 0.2863 d3.loss_bbox: 0.1115 d3.loss_iou: 0.2363 d4.loss_cls: 0.2825 d4.loss_bbox: 0.1130 d4.loss_iou: 0.2379 enc_loss_cls: 0.3237 enc_loss_bbox: 0.1414 enc_loss_iou: 0.2770 dn_loss_cls: 0.0890 dn_loss_bbox: 0.1450 dn_loss_iou: 0.2141 d0.dn_loss_cls: 0.1658 d0.dn_loss_bbox: 0.3000 d0.dn_loss_iou: 0.3662 d1.dn_loss_cls: 0.1137 d1.dn_loss_bbox: 0.1795 d1.dn_loss_iou: 0.2463 d2.dn_loss_cls: 0.1001 d2.dn_loss_bbox: 0.1521 d2.dn_loss_iou: 0.2212 d3.dn_loss_cls: 0.0938 d3.dn_loss_bbox: 0.1457 d3.dn_loss_iou: 0.2145 d4.dn_loss_cls: 0.0897 d4.dn_loss_bbox: 0.1451 d4.dn_loss_iou: 0.2141 d1.loss_lmm_region: 0.1381 loss_lmm_image: 0.9050 2024/11/02 19:56:30 - mmengine - INFO - Iter(train) [ 28900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:56:59 time: 0.9917 data_time: 0.0172 memory: 20915 grad_norm: 22.0818 loss: 10.8357 loss_cls: 0.3601 loss_bbox: 0.1685 loss_iou: 0.3289 d0.loss_cls: 0.3957 d0.loss_bbox: 0.1852 d0.loss_iou: 0.3541 d1.loss_cls: 0.3820 d1.loss_bbox: 0.1774 d1.loss_iou: 0.3424 d2.loss_cls: 0.3726 d2.loss_bbox: 0.1687 d2.loss_iou: 0.3310 d3.loss_cls: 0.3727 d3.loss_bbox: 0.1667 d3.loss_iou: 0.3279 d4.loss_cls: 0.3627 d4.loss_bbox: 0.1678 d4.loss_iou: 0.3287 enc_loss_cls: 0.4045 enc_loss_bbox: 0.1973 enc_loss_iou: 0.3797 dn_loss_cls: 0.0941 dn_loss_bbox: 0.1631 dn_loss_iou: 0.2425 d0.dn_loss_cls: 0.1817 d0.dn_loss_bbox: 0.3099 d0.dn_loss_iou: 0.3990 d1.dn_loss_cls: 0.1232 d1.dn_loss_bbox: 0.1966 d1.dn_loss_iou: 0.2776 d2.dn_loss_cls: 0.1065 d2.dn_loss_bbox: 0.1727 d2.dn_loss_iou: 0.2520 d3.dn_loss_cls: 0.0976 d3.dn_loss_bbox: 0.1647 d3.dn_loss_iou: 0.2438 d4.dn_loss_cls: 0.0951 d4.dn_loss_bbox: 0.1631 d4.dn_loss_iou: 0.2423 d1.loss_lmm_region: 0.1699 loss_lmm_image: 0.8658 2024/11/02 19:58:09 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 19:58:09 - mmengine - INFO - Iter(train) [ 29000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:55:24 time: 0.9848 data_time: 0.0171 memory: 20898 grad_norm: 22.1997 loss: 10.1722 loss_cls: 0.2999 loss_bbox: 0.1382 loss_iou: 0.2772 d0.loss_cls: 0.3447 d0.loss_bbox: 0.1506 d0.loss_iou: 0.2905 d1.loss_cls: 0.3225 d1.loss_bbox: 0.1434 d1.loss_iou: 0.2810 d2.loss_cls: 0.3139 d2.loss_bbox: 0.1380 d2.loss_iou: 0.2754 d3.loss_cls: 0.3080 d3.loss_bbox: 0.1384 d3.loss_iou: 0.2768 d4.loss_cls: 0.3005 d4.loss_bbox: 0.1376 d4.loss_iou: 0.2770 enc_loss_cls: 0.3587 enc_loss_bbox: 0.1689 enc_loss_iou: 0.3207 dn_loss_cls: 0.0995 dn_loss_bbox: 0.1868 dn_loss_iou: 0.2382 d0.dn_loss_cls: 0.2009 d0.dn_loss_bbox: 0.3747 d0.dn_loss_iou: 0.4058 d1.dn_loss_cls: 0.1411 d1.dn_loss_bbox: 0.2360 d1.dn_loss_iou: 0.2798 d2.dn_loss_cls: 0.1183 d2.dn_loss_bbox: 0.2000 d2.dn_loss_iou: 0.2498 d3.dn_loss_cls: 0.1074 d3.dn_loss_bbox: 0.1894 d3.dn_loss_iou: 0.2406 d4.dn_loss_cls: 0.1002 d4.dn_loss_bbox: 0.1868 d4.dn_loss_iou: 0.2381 d1.loss_lmm_region: 0.1906 loss_lmm_image: 0.9263 2024/11/02 19:59:47 - mmengine - INFO - Iter(train) [ 29100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:53:46 time: 0.9919 data_time: 0.0171 memory: 20898 grad_norm: 21.9116 loss: 8.5485 loss_cls: 0.2594 loss_bbox: 0.1115 loss_iou: 0.2201 d0.loss_cls: 0.2837 d0.loss_bbox: 0.1284 d0.loss_iou: 0.2346 d1.loss_cls: 0.2700 d1.loss_bbox: 0.1174 d1.loss_iou: 0.2231 d2.loss_cls: 0.2602 d2.loss_bbox: 0.1196 d2.loss_iou: 0.2241 d3.loss_cls: 0.2596 d3.loss_bbox: 0.1129 d3.loss_iou: 0.2211 d4.loss_cls: 0.2597 d4.loss_bbox: 0.1121 d4.loss_iou: 0.2200 enc_loss_cls: 0.2986 enc_loss_bbox: 0.1446 enc_loss_iou: 0.2581 dn_loss_cls: 0.0940 dn_loss_bbox: 0.1558 dn_loss_iou: 0.1953 d0.dn_loss_cls: 0.1642 d0.dn_loss_bbox: 0.3085 d0.dn_loss_iou: 0.3405 d1.dn_loss_cls: 0.1167 d1.dn_loss_bbox: 0.1863 d1.dn_loss_iou: 0.2260 d2.dn_loss_cls: 0.1041 d2.dn_loss_bbox: 0.1639 d2.dn_loss_iou: 0.2032 d3.dn_loss_cls: 0.0994 d3.dn_loss_bbox: 0.1571 d3.dn_loss_iou: 0.1967 d4.dn_loss_cls: 0.0955 d4.dn_loss_bbox: 0.1558 d4.dn_loss_iou: 0.1951 d1.loss_lmm_region: 0.1698 loss_lmm_image: 0.8818 2024/11/02 20:01:25 - mmengine - INFO - Iter(train) [ 29200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:52:08 time: 0.9847 data_time: 0.0172 memory: 21138 grad_norm: 24.5661 loss: 11.1787 loss_cls: 0.3728 loss_bbox: 0.1732 loss_iou: 0.3212 d0.loss_cls: 0.4179 d0.loss_bbox: 0.1835 d0.loss_iou: 0.3371 d1.loss_cls: 0.3946 d1.loss_bbox: 0.1727 d1.loss_iou: 0.3261 d2.loss_cls: 0.3811 d2.loss_bbox: 0.1731 d2.loss_iou: 0.3245 d3.loss_cls: 0.3762 d3.loss_bbox: 0.1723 d3.loss_iou: 0.3220 d4.loss_cls: 0.3716 d4.loss_bbox: 0.1737 d4.loss_iou: 0.3224 enc_loss_cls: 0.4343 enc_loss_bbox: 0.2036 enc_loss_iou: 0.3633 dn_loss_cls: 0.1202 dn_loss_bbox: 0.1725 dn_loss_iou: 0.2510 d0.dn_loss_cls: 0.2044 d0.dn_loss_bbox: 0.3257 d0.dn_loss_iou: 0.4127 d1.dn_loss_cls: 0.1470 d1.dn_loss_bbox: 0.2069 d1.dn_loss_iou: 0.2844 d2.dn_loss_cls: 0.1325 d2.dn_loss_bbox: 0.1811 d2.dn_loss_iou: 0.2593 d3.dn_loss_cls: 0.1262 d3.dn_loss_bbox: 0.1733 d3.dn_loss_iou: 0.2520 d4.dn_loss_cls: 0.1208 d4.dn_loss_bbox: 0.1725 d4.dn_loss_iou: 0.2509 d1.loss_lmm_region: 0.1823 loss_lmm_image: 0.8857 2024/11/02 20:03:03 - mmengine - INFO - Iter(train) [ 29300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:50:33 time: 0.9889 data_time: 0.0171 memory: 20816 grad_norm: 25.9314 loss: 10.7014 loss_cls: 0.3494 loss_bbox: 0.1533 loss_iou: 0.3120 d0.loss_cls: 0.3918 d0.loss_bbox: 0.1665 d0.loss_iou: 0.3339 d1.loss_cls: 0.3701 d1.loss_bbox: 0.1639 d1.loss_iou: 0.3236 d2.loss_cls: 0.3600 d2.loss_bbox: 0.1553 d2.loss_iou: 0.3135 d3.loss_cls: 0.3578 d3.loss_bbox: 0.1515 d3.loss_iou: 0.3124 d4.loss_cls: 0.3526 d4.loss_bbox: 0.1525 d4.loss_iou: 0.3115 enc_loss_cls: 0.4028 enc_loss_bbox: 0.1805 enc_loss_iou: 0.3536 dn_loss_cls: 0.0972 dn_loss_bbox: 0.1725 dn_loss_iou: 0.2489 d0.dn_loss_cls: 0.1858 d0.dn_loss_bbox: 0.3160 d0.dn_loss_iou: 0.4041 d1.dn_loss_cls: 0.1300 d1.dn_loss_bbox: 0.1995 d1.dn_loss_iou: 0.2813 d2.dn_loss_cls: 0.1151 d2.dn_loss_bbox: 0.1793 d2.dn_loss_iou: 0.2574 d3.dn_loss_cls: 0.1054 d3.dn_loss_bbox: 0.1742 d3.dn_loss_iou: 0.2500 d4.dn_loss_cls: 0.0994 d4.dn_loss_bbox: 0.1725 d4.dn_loss_iou: 0.2489 d1.loss_lmm_region: 0.1877 loss_lmm_image: 0.9079 2024/11/02 20:04:41 - mmengine - INFO - Iter(train) [ 29400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:48:55 time: 0.9696 data_time: 0.0170 memory: 20878 grad_norm: 21.9565 loss: 11.0395 loss_cls: 0.3137 loss_bbox: 0.1879 loss_iou: 0.2847 d0.loss_cls: 0.3409 d0.loss_bbox: 0.2087 d0.loss_iou: 0.3013 d1.loss_cls: 0.3328 d1.loss_bbox: 0.1919 d1.loss_iou: 0.2851 d2.loss_cls: 0.3243 d2.loss_bbox: 0.1853 d2.loss_iou: 0.2816 d3.loss_cls: 0.3196 d3.loss_bbox: 0.1855 d3.loss_iou: 0.2814 d4.loss_cls: 0.3155 d4.loss_bbox: 0.1874 d4.loss_iou: 0.2822 enc_loss_cls: 0.3713 enc_loss_bbox: 0.2085 enc_loss_iou: 0.3150 dn_loss_cls: 0.1076 dn_loss_bbox: 0.2442 dn_loss_iou: 0.2680 d0.dn_loss_cls: 0.1915 d0.dn_loss_bbox: 0.4116 d0.dn_loss_iou: 0.4245 d1.dn_loss_cls: 0.1331 d1.dn_loss_bbox: 0.2760 d1.dn_loss_iou: 0.3030 d2.dn_loss_cls: 0.1169 d2.dn_loss_bbox: 0.2522 d2.dn_loss_iou: 0.2767 d3.dn_loss_cls: 0.1105 d3.dn_loss_bbox: 0.2447 d3.dn_loss_iou: 0.2690 d4.dn_loss_cls: 0.1073 d4.dn_loss_bbox: 0.2442 d4.dn_loss_iou: 0.2680 d1.loss_lmm_region: 0.1968 loss_lmm_image: 0.8891 2024/11/02 20:06:20 - mmengine - INFO - Iter(train) [ 29500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:47:19 time: 0.9710 data_time: 0.0170 memory: 21373 grad_norm: 20.6263 loss: 9.2982 loss_cls: 0.3007 loss_bbox: 0.1305 loss_iou: 0.2377 d0.loss_cls: 0.3428 d0.loss_bbox: 0.1470 d0.loss_iou: 0.2544 d1.loss_cls: 0.3287 d1.loss_bbox: 0.1320 d1.loss_iou: 0.2407 d2.loss_cls: 0.3089 d2.loss_bbox: 0.1339 d2.loss_iou: 0.2405 d3.loss_cls: 0.3097 d3.loss_bbox: 0.1282 d3.loss_iou: 0.2367 d4.loss_cls: 0.3031 d4.loss_bbox: 0.1292 d4.loss_iou: 0.2362 enc_loss_cls: 0.3716 enc_loss_bbox: 0.1587 enc_loss_iou: 0.2751 dn_loss_cls: 0.0900 dn_loss_bbox: 0.1701 dn_loss_iou: 0.2024 d0.dn_loss_cls: 0.1784 d0.dn_loss_bbox: 0.3058 d0.dn_loss_iou: 0.3377 d1.dn_loss_cls: 0.1227 d1.dn_loss_bbox: 0.1965 d1.dn_loss_iou: 0.2328 d2.dn_loss_cls: 0.1063 d2.dn_loss_bbox: 0.1780 d2.dn_loss_iou: 0.2101 d3.dn_loss_cls: 0.0948 d3.dn_loss_bbox: 0.1708 d3.dn_loss_iou: 0.2036 d4.dn_loss_cls: 0.0897 d4.dn_loss_bbox: 0.1700 d4.dn_loss_iou: 0.2023 d1.loss_lmm_region: 0.1997 loss_lmm_image: 0.8903 2024/11/02 20:07:58 - mmengine - INFO - Iter(train) [ 29600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:45:42 time: 0.9819 data_time: 0.0170 memory: 20698 grad_norm: 26.3872 loss: 9.2337 loss_cls: 0.2813 loss_bbox: 0.1394 loss_iou: 0.2356 d0.loss_cls: 0.3183 d0.loss_bbox: 0.1490 d0.loss_iou: 0.2507 d1.loss_cls: 0.2999 d1.loss_bbox: 0.1463 d1.loss_iou: 0.2423 d2.loss_cls: 0.2912 d2.loss_bbox: 0.1422 d2.loss_iou: 0.2377 d3.loss_cls: 0.2868 d3.loss_bbox: 0.1372 d3.loss_iou: 0.2364 d4.loss_cls: 0.2848 d4.loss_bbox: 0.1389 d4.loss_iou: 0.2330 enc_loss_cls: 0.3397 enc_loss_bbox: 0.1605 enc_loss_iou: 0.2690 dn_loss_cls: 0.0932 dn_loss_bbox: 0.1612 dn_loss_iou: 0.2135 d0.dn_loss_cls: 0.1851 d0.dn_loss_bbox: 0.3188 d0.dn_loss_iou: 0.3634 d1.dn_loss_cls: 0.1263 d1.dn_loss_bbox: 0.1945 d1.dn_loss_iou: 0.2470 d2.dn_loss_cls: 0.1106 d2.dn_loss_bbox: 0.1690 d2.dn_loss_iou: 0.2208 d3.dn_loss_cls: 0.0991 d3.dn_loss_bbox: 0.1626 d3.dn_loss_iou: 0.2153 d4.dn_loss_cls: 0.0930 d4.dn_loss_bbox: 0.1611 d4.dn_loss_iou: 0.2134 d1.loss_lmm_region: 0.1651 loss_lmm_image: 0.9009 2024/11/02 20:09:36 - mmengine - INFO - Iter(train) [ 29700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:44:04 time: 0.9812 data_time: 0.0170 memory: 20090 grad_norm: 23.8616 loss: 9.8774 loss_cls: 0.2785 loss_bbox: 0.1508 loss_iou: 0.2539 d0.loss_cls: 0.3217 d0.loss_bbox: 0.1592 d0.loss_iou: 0.2692 d1.loss_cls: 0.3043 d1.loss_bbox: 0.1505 d1.loss_iou: 0.2571 d2.loss_cls: 0.2963 d2.loss_bbox: 0.1470 d2.loss_iou: 0.2550 d3.loss_cls: 0.2846 d3.loss_bbox: 0.1494 d3.loss_iou: 0.2558 d4.loss_cls: 0.2795 d4.loss_bbox: 0.1503 d4.loss_iou: 0.2546 enc_loss_cls: 0.3371 enc_loss_bbox: 0.1733 enc_loss_iou: 0.2851 dn_loss_cls: 0.0875 dn_loss_bbox: 0.1896 dn_loss_iou: 0.2499 d0.dn_loss_cls: 0.1844 d0.dn_loss_bbox: 0.3483 d0.dn_loss_iou: 0.4097 d1.dn_loss_cls: 0.1197 d1.dn_loss_bbox: 0.2281 d1.dn_loss_iou: 0.2887 d2.dn_loss_cls: 0.1038 d2.dn_loss_bbox: 0.1984 d2.dn_loss_iou: 0.2596 d3.dn_loss_cls: 0.0932 d3.dn_loss_bbox: 0.1903 d3.dn_loss_iou: 0.2510 d4.dn_loss_cls: 0.0890 d4.dn_loss_bbox: 0.1897 d4.dn_loss_iou: 0.2498 d1.loss_lmm_region: 0.1961 loss_lmm_image: 0.9373 2024/11/02 20:11:15 - mmengine - INFO - Iter(train) [ 29800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:42:29 time: 0.9943 data_time: 0.0172 memory: 20891 grad_norm: 21.2698 loss: 10.1532 loss_cls: 0.3332 loss_bbox: 0.1464 loss_iou: 0.2805 d0.loss_cls: 0.3558 d0.loss_bbox: 0.1660 d0.loss_iou: 0.3080 d1.loss_cls: 0.3406 d1.loss_bbox: 0.1524 d1.loss_iou: 0.2942 d2.loss_cls: 0.3396 d2.loss_bbox: 0.1462 d2.loss_iou: 0.2817 d3.loss_cls: 0.3360 d3.loss_bbox: 0.1460 d3.loss_iou: 0.2807 d4.loss_cls: 0.3342 d4.loss_bbox: 0.1455 d4.loss_iou: 0.2807 enc_loss_cls: 0.3767 enc_loss_bbox: 0.1771 enc_loss_iou: 0.3270 dn_loss_cls: 0.0943 dn_loss_bbox: 0.1738 dn_loss_iou: 0.2220 d0.dn_loss_cls: 0.1805 d0.dn_loss_bbox: 0.3417 d0.dn_loss_iou: 0.3821 d1.dn_loss_cls: 0.1259 d1.dn_loss_bbox: 0.2138 d1.dn_loss_iou: 0.2619 d2.dn_loss_cls: 0.1082 d2.dn_loss_bbox: 0.1886 d2.dn_loss_iou: 0.2345 d3.dn_loss_cls: 0.0989 d3.dn_loss_bbox: 0.1768 d3.dn_loss_iou: 0.2243 d4.dn_loss_cls: 0.0945 d4.dn_loss_bbox: 0.1736 d4.dn_loss_iou: 0.2219 d1.loss_lmm_region: 0.1657 loss_lmm_image: 0.9217 2024/11/02 20:12:52 - mmengine - INFO - Iter(train) [ 29900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:40:50 time: 0.9731 data_time: 0.0173 memory: 21359 grad_norm: 22.0526 loss: 9.2354 loss_cls: 0.2555 loss_bbox: 0.1416 loss_iou: 0.2483 d0.loss_cls: 0.2898 d0.loss_bbox: 0.1531 d0.loss_iou: 0.2635 d1.loss_cls: 0.2786 d1.loss_bbox: 0.1401 d1.loss_iou: 0.2504 d2.loss_cls: 0.2648 d2.loss_bbox: 0.1420 d2.loss_iou: 0.2531 d3.loss_cls: 0.2617 d3.loss_bbox: 0.1397 d3.loss_iou: 0.2487 d4.loss_cls: 0.2561 d4.loss_bbox: 0.1418 d4.loss_iou: 0.2482 enc_loss_cls: 0.3040 enc_loss_bbox: 0.1636 enc_loss_iou: 0.2859 dn_loss_cls: 0.0844 dn_loss_bbox: 0.1701 dn_loss_iou: 0.2215 d0.dn_loss_cls: 0.1721 d0.dn_loss_bbox: 0.3425 d0.dn_loss_iou: 0.3757 d1.dn_loss_cls: 0.1178 d1.dn_loss_bbox: 0.2045 d1.dn_loss_iou: 0.2573 d2.dn_loss_cls: 0.1006 d2.dn_loss_bbox: 0.1770 d2.dn_loss_iou: 0.2317 d3.dn_loss_cls: 0.0903 d3.dn_loss_bbox: 0.1708 d3.dn_loss_iou: 0.2230 d4.dn_loss_cls: 0.0860 d4.dn_loss_bbox: 0.1701 d4.dn_loss_iou: 0.2214 d1.loss_lmm_region: 0.1854 loss_lmm_image: 0.9030 2024/11/02 20:14:30 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 20:14:30 - mmengine - INFO - Iter(train) [ 30000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:39:12 time: 0.9766 data_time: 0.0170 memory: 21459 grad_norm: 22.2147 loss: 9.2802 loss_cls: 0.2836 loss_bbox: 0.1407 loss_iou: 0.2420 d0.loss_cls: 0.3141 d0.loss_bbox: 0.1628 d0.loss_iou: 0.2622 d1.loss_cls: 0.2954 d1.loss_bbox: 0.1496 d1.loss_iou: 0.2492 d2.loss_cls: 0.2877 d2.loss_bbox: 0.1429 d2.loss_iou: 0.2448 d3.loss_cls: 0.2874 d3.loss_bbox: 0.1418 d3.loss_iou: 0.2434 d4.loss_cls: 0.2870 d4.loss_bbox: 0.1405 d4.loss_iou: 0.2424 enc_loss_cls: 0.3355 enc_loss_bbox: 0.1657 enc_loss_iou: 0.2813 dn_loss_cls: 0.0855 dn_loss_bbox: 0.1743 dn_loss_iou: 0.2206 d0.dn_loss_cls: 0.1687 d0.dn_loss_bbox: 0.3186 d0.dn_loss_iou: 0.3660 d1.dn_loss_cls: 0.1144 d1.dn_loss_bbox: 0.2011 d1.dn_loss_iou: 0.2512 d2.dn_loss_cls: 0.0976 d2.dn_loss_bbox: 0.1791 d2.dn_loss_iou: 0.2276 d3.dn_loss_cls: 0.0911 d3.dn_loss_bbox: 0.1746 d3.dn_loss_iou: 0.2218 d4.dn_loss_cls: 0.0862 d4.dn_loss_bbox: 0.1744 d4.dn_loss_iou: 0.2206 d1.loss_lmm_region: 0.1548 loss_lmm_image: 0.8524 2024/11/02 20:14:30 - mmengine - INFO - Saving checkpoint at 30000 iterations 2024/11/02 20:20:37 - mmengine - INFO - Iter(val) [100/602] eta: 0:19:00 time: 2.3905 data_time: 0.0017 memory: 5368 2024/11/02 20:25:09 - mmengine - INFO - Iter(val) [200/602] eta: 0:16:43 time: 2.8474 data_time: 0.0017 memory: 5375 2024/11/02 20:30:28 - mmengine - INFO - Iter(val) [300/602] eta: 0:13:43 time: 3.2799 data_time: 0.0018 memory: 5371 2024/11/02 20:36:39 - mmengine - INFO - Iter(val) [400/602] eta: 0:10:00 time: 3.8457 data_time: 0.0018 memory: 5375 2024/11/02 20:43:27 - mmengine - INFO - Iter(val) [500/602] eta: 0:05:25 time: 4.2187 data_time: 0.0018 memory: 5363 2024/11/02 20:51:00 - mmengine - INFO - Iter(val) [600/602] eta: 0:00:06 time: 4.5314 data_time: 0.0019 memory: 5375 2024/11/02 20:58:05 - mmengine - INFO - === 93 classes had less than 10000 detections! Outputting 10000 detections for each class will improve AP further. === 2024/11/02 21:00:36 - mmengine - INFO - mAP_copypaste: {'AP': 0.4263662862029828, 'AP50': 0.5347824769570392, 'AP75': 0.4534319383567311, 'APs': 0.38861854171347315, 'APm': 0.548093785556441, 'APl': 0.6218359963554148, 'APr': 0.3566383679547055, 'APc': 0.3712511837468008, 'APf': 0.48779472996843765} 2024/11/02 21:00:59 - mmengine - INFO - Iter(val) [602/602] lvis_fixed_ap/AP: 0.4264 lvis_fixed_ap/AP50: 0.5348 lvis_fixed_ap/AP75: 0.4534 lvis_fixed_ap/APs: 0.3886 lvis_fixed_ap/APm: 0.5481 lvis_fixed_ap/APl: 0.6218 lvis_fixed_ap/APr: 0.3566 lvis_fixed_ap/APc: 0.3713 lvis_fixed_ap/APf: 0.4878 data_time: 0.0023 time: 3.4211 2024/11/02 21:02:37 - mmengine - INFO - Iter(train) [ 30100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:16:44 time: 0.9760 data_time: 0.0160 memory: 21284 grad_norm: 27.1543 loss: 10.0622 loss_cls: 0.3257 loss_bbox: 0.1556 loss_iou: 0.2799 d0.loss_cls: 0.3596 d0.loss_bbox: 0.1643 d0.loss_iou: 0.2957 d1.loss_cls: 0.3447 d1.loss_bbox: 0.1584 d1.loss_iou: 0.2839 d2.loss_cls: 0.3367 d2.loss_bbox: 0.1541 d2.loss_iou: 0.2781 d3.loss_cls: 0.3328 d3.loss_bbox: 0.1537 d3.loss_iou: 0.2780 d4.loss_cls: 0.3273 d4.loss_bbox: 0.1556 d4.loss_iou: 0.2791 enc_loss_cls: 0.3787 enc_loss_bbox: 0.1771 enc_loss_iou: 0.3163 dn_loss_cls: 0.0979 dn_loss_bbox: 0.1725 dn_loss_iou: 0.2245 d0.dn_loss_cls: 0.1837 d0.dn_loss_bbox: 0.3381 d0.dn_loss_iou: 0.3790 d1.dn_loss_cls: 0.1326 d1.dn_loss_bbox: 0.2067 d1.dn_loss_iou: 0.2578 d2.dn_loss_cls: 0.1149 d2.dn_loss_bbox: 0.1832 d2.dn_loss_iou: 0.2345 d3.dn_loss_cls: 0.1042 d3.dn_loss_bbox: 0.1735 d3.dn_loss_iou: 0.2256 d4.dn_loss_cls: 0.0988 d4.dn_loss_bbox: 0.1725 d4.dn_loss_iou: 0.2245 d1.loss_lmm_region: 0.1552 loss_lmm_image: 0.8472 2024/11/02 21:04:15 - mmengine - INFO - Iter(train) [ 30200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:14:55 time: 0.9697 data_time: 0.0159 memory: 21613 grad_norm: 24.7001 loss: 9.1971 loss_cls: 0.2972 loss_bbox: 0.1241 loss_iou: 0.2257 d0.loss_cls: 0.3117 d0.loss_bbox: 0.1416 d0.loss_iou: 0.2455 d1.loss_cls: 0.3019 d1.loss_bbox: 0.1371 d1.loss_iou: 0.2403 d2.loss_cls: 0.3003 d2.loss_bbox: 0.1258 d2.loss_iou: 0.2300 d3.loss_cls: 0.2956 d3.loss_bbox: 0.1260 d3.loss_iou: 0.2262 d4.loss_cls: 0.2953 d4.loss_bbox: 0.1240 d4.loss_iou: 0.2274 enc_loss_cls: 0.3377 enc_loss_bbox: 0.1513 enc_loss_iou: 0.2612 dn_loss_cls: 0.0916 dn_loss_bbox: 0.1696 dn_loss_iou: 0.2171 d0.dn_loss_cls: 0.1814 d0.dn_loss_bbox: 0.3350 d0.dn_loss_iou: 0.3731 d1.dn_loss_cls: 0.1233 d1.dn_loss_bbox: 0.2007 d1.dn_loss_iou: 0.2482 d2.dn_loss_cls: 0.1057 d2.dn_loss_bbox: 0.1794 d2.dn_loss_iou: 0.2256 d3.dn_loss_cls: 0.0966 d3.dn_loss_bbox: 0.1720 d3.dn_loss_iou: 0.2190 d4.dn_loss_cls: 0.0925 d4.dn_loss_bbox: 0.1696 d4.dn_loss_iou: 0.2171 d1.loss_lmm_region: 0.1858 loss_lmm_image: 0.8674 2024/11/02 21:05:52 - mmengine - INFO - Iter(train) [ 30300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:13:06 time: 0.9824 data_time: 0.0160 memory: 21721 grad_norm: 23.4695 loss: 9.5786 loss_cls: 0.3476 loss_bbox: 0.1244 loss_iou: 0.2734 d0.loss_cls: 0.3700 d0.loss_bbox: 0.1446 d0.loss_iou: 0.3004 d1.loss_cls: 0.3545 d1.loss_bbox: 0.1332 d1.loss_iou: 0.2880 d2.loss_cls: 0.3589 d2.loss_bbox: 0.1274 d2.loss_iou: 0.2787 d3.loss_cls: 0.3508 d3.loss_bbox: 0.1244 d3.loss_iou: 0.2750 d4.loss_cls: 0.3471 d4.loss_bbox: 0.1243 d4.loss_iou: 0.2742 enc_loss_cls: 0.3946 enc_loss_bbox: 0.1612 enc_loss_iou: 0.3246 dn_loss_cls: 0.0750 dn_loss_bbox: 0.1408 dn_loss_iou: 0.2033 d0.dn_loss_cls: 0.1621 d0.dn_loss_bbox: 0.2797 d0.dn_loss_iou: 0.3481 d1.dn_loss_cls: 0.1058 d1.dn_loss_bbox: 0.1738 d1.dn_loss_iou: 0.2405 d2.dn_loss_cls: 0.0889 d2.dn_loss_bbox: 0.1472 d2.dn_loss_iou: 0.2120 d3.dn_loss_cls: 0.0806 d3.dn_loss_bbox: 0.1418 d3.dn_loss_iou: 0.2049 d4.dn_loss_cls: 0.0757 d4.dn_loss_bbox: 0.1409 d4.dn_loss_iou: 0.2034 d1.loss_lmm_region: 0.1810 loss_lmm_image: 0.8958 2024/11/02 21:07:29 - mmengine - INFO - Iter(train) [ 30400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:11:15 time: 0.9648 data_time: 0.0160 memory: 21020 grad_norm: 29.1010 loss: 8.3904 loss_cls: 0.2448 loss_bbox: 0.1051 loss_iou: 0.1818 d0.loss_cls: 0.2828 d0.loss_bbox: 0.1111 d0.loss_iou: 0.1919 d1.loss_cls: 0.2663 d1.loss_bbox: 0.1050 d1.loss_iou: 0.1827 d2.loss_cls: 0.2578 d2.loss_bbox: 0.1051 d2.loss_iou: 0.1832 d3.loss_cls: 0.2529 d3.loss_bbox: 0.1050 d3.loss_iou: 0.1804 d4.loss_cls: 0.2459 d4.loss_bbox: 0.1050 d4.loss_iou: 0.1819 enc_loss_cls: 0.2951 enc_loss_bbox: 0.1296 enc_loss_iou: 0.2163 dn_loss_cls: 0.0879 dn_loss_bbox: 0.1703 dn_loss_iou: 0.2080 d0.dn_loss_cls: 0.1800 d0.dn_loss_bbox: 0.3205 d0.dn_loss_iou: 0.3548 d1.dn_loss_cls: 0.1245 d1.dn_loss_bbox: 0.2036 d1.dn_loss_iou: 0.2411 d2.dn_loss_cls: 0.1043 d2.dn_loss_bbox: 0.1783 d2.dn_loss_iou: 0.2173 d3.dn_loss_cls: 0.0925 d3.dn_loss_bbox: 0.1713 d3.dn_loss_iou: 0.2098 d4.dn_loss_cls: 0.0882 d4.dn_loss_bbox: 0.1702 d4.dn_loss_iou: 0.2081 d1.loss_lmm_region: 0.1945 loss_lmm_image: 0.9354 2024/11/02 21:09:07 - mmengine - INFO - Iter(train) [ 30500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:09:24 time: 0.9701 data_time: 0.0160 memory: 21244 grad_norm: 22.7412 loss: 8.5737 loss_cls: 0.2428 loss_bbox: 0.1205 loss_iou: 0.2076 d0.loss_cls: 0.2695 d0.loss_bbox: 0.1325 d0.loss_iou: 0.2192 d1.loss_cls: 0.2532 d1.loss_bbox: 0.1231 d1.loss_iou: 0.2104 d2.loss_cls: 0.2461 d2.loss_bbox: 0.1213 d2.loss_iou: 0.2090 d3.loss_cls: 0.2411 d3.loss_bbox: 0.1228 d3.loss_iou: 0.2086 d4.loss_cls: 0.2408 d4.loss_bbox: 0.1239 d4.loss_iou: 0.2081 enc_loss_cls: 0.2869 enc_loss_bbox: 0.1490 enc_loss_iou: 0.2481 dn_loss_cls: 0.0903 dn_loss_bbox: 0.1694 dn_loss_iou: 0.2054 d0.dn_loss_cls: 0.1714 d0.dn_loss_bbox: 0.3200 d0.dn_loss_iou: 0.3519 d1.dn_loss_cls: 0.1179 d1.dn_loss_bbox: 0.1985 d1.dn_loss_iou: 0.2360 d2.dn_loss_cls: 0.1022 d2.dn_loss_bbox: 0.1777 d2.dn_loss_iou: 0.2134 d3.dn_loss_cls: 0.0945 d3.dn_loss_bbox: 0.1699 d3.dn_loss_iou: 0.2061 d4.dn_loss_cls: 0.0903 d4.dn_loss_bbox: 0.1694 d4.dn_loss_iou: 0.2054 d1.loss_lmm_region: 0.1965 loss_lmm_image: 0.9030 2024/11/02 21:10:44 - mmengine - INFO - Iter(train) [ 30600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:07:34 time: 0.9730 data_time: 0.0163 memory: 21177 grad_norm: 21.9380 loss: 8.7633 loss_cls: 0.2740 loss_bbox: 0.1161 loss_iou: 0.2435 d0.loss_cls: 0.3117 d0.loss_bbox: 0.1252 d0.loss_iou: 0.2579 d1.loss_cls: 0.2978 d1.loss_bbox: 0.1159 d1.loss_iou: 0.2465 d2.loss_cls: 0.2830 d2.loss_bbox: 0.1156 d2.loss_iou: 0.2450 d3.loss_cls: 0.2770 d3.loss_bbox: 0.1157 d3.loss_iou: 0.2431 d4.loss_cls: 0.2755 d4.loss_bbox: 0.1155 d4.loss_iou: 0.2431 enc_loss_cls: 0.3223 enc_loss_bbox: 0.1408 enc_loss_iou: 0.2840 dn_loss_cls: 0.0864 dn_loss_bbox: 0.1433 dn_loss_iou: 0.2012 d0.dn_loss_cls: 0.1603 d0.dn_loss_bbox: 0.2883 d0.dn_loss_iou: 0.3467 d1.dn_loss_cls: 0.1066 d1.dn_loss_bbox: 0.1745 d1.dn_loss_iou: 0.2344 d2.dn_loss_cls: 0.0950 d2.dn_loss_bbox: 0.1501 d2.dn_loss_iou: 0.2085 d3.dn_loss_cls: 0.0892 d3.dn_loss_bbox: 0.1448 d3.dn_loss_iou: 0.2026 d4.dn_loss_cls: 0.0869 d4.dn_loss_bbox: 0.1432 d4.dn_loss_iou: 0.2013 d1.loss_lmm_region: 0.1554 loss_lmm_image: 0.8952 2024/11/02 21:12:22 - mmengine - INFO - Iter(train) [ 30700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:05:46 time: 0.9730 data_time: 0.0161 memory: 21970 grad_norm: 21.3141 loss: 10.6078 loss_cls: 0.3361 loss_bbox: 0.1626 loss_iou: 0.2772 d0.loss_cls: 0.3779 d0.loss_bbox: 0.1788 d0.loss_iou: 0.3003 d1.loss_cls: 0.3568 d1.loss_bbox: 0.1688 d1.loss_iou: 0.2862 d2.loss_cls: 0.3500 d2.loss_bbox: 0.1630 d2.loss_iou: 0.2770 d3.loss_cls: 0.3420 d3.loss_bbox: 0.1651 d3.loss_iou: 0.2791 d4.loss_cls: 0.3366 d4.loss_bbox: 0.1633 d4.loss_iou: 0.2769 enc_loss_cls: 0.3895 enc_loss_bbox: 0.1882 enc_loss_iou: 0.3149 dn_loss_cls: 0.1167 dn_loss_bbox: 0.1784 dn_loss_iou: 0.2376 d0.dn_loss_cls: 0.2134 d0.dn_loss_bbox: 0.3455 d0.dn_loss_iou: 0.4011 d1.dn_loss_cls: 0.1535 d1.dn_loss_bbox: 0.2172 d1.dn_loss_iou: 0.2732 d2.dn_loss_cls: 0.1328 d2.dn_loss_bbox: 0.1889 d2.dn_loss_iou: 0.2486 d3.dn_loss_cls: 0.1227 d3.dn_loss_bbox: 0.1797 d3.dn_loss_iou: 0.2390 d4.dn_loss_cls: 0.1173 d4.dn_loss_bbox: 0.1783 d4.dn_loss_iou: 0.2374 d1.loss_lmm_region: 0.1993 loss_lmm_image: 0.9369 2024/11/02 21:13:59 - mmengine - INFO - Iter(train) [ 30800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:03:55 time: 0.9679 data_time: 0.0163 memory: 21395 grad_norm: 22.7209 loss: 10.7369 loss_cls: 0.3324 loss_bbox: 0.1762 loss_iou: 0.3007 d0.loss_cls: 0.3719 d0.loss_bbox: 0.1883 d0.loss_iou: 0.3205 d1.loss_cls: 0.3506 d1.loss_bbox: 0.1803 d1.loss_iou: 0.3085 d2.loss_cls: 0.3394 d2.loss_bbox: 0.1791 d2.loss_iou: 0.3060 d3.loss_cls: 0.3391 d3.loss_bbox: 0.1739 d3.loss_iou: 0.3026 d4.loss_cls: 0.3312 d4.loss_bbox: 0.1777 d4.loss_iou: 0.3040 enc_loss_cls: 0.3820 enc_loss_bbox: 0.2039 enc_loss_iou: 0.3481 dn_loss_cls: 0.1074 dn_loss_bbox: 0.1819 dn_loss_iou: 0.2520 d0.dn_loss_cls: 0.1951 d0.dn_loss_bbox: 0.3310 d0.dn_loss_iou: 0.4063 d1.dn_loss_cls: 0.1398 d1.dn_loss_bbox: 0.2166 d1.dn_loss_iou: 0.2865 d2.dn_loss_cls: 0.1229 d2.dn_loss_bbox: 0.1917 d2.dn_loss_iou: 0.2593 d3.dn_loss_cls: 0.1119 d3.dn_loss_bbox: 0.1826 d3.dn_loss_iou: 0.2530 d4.dn_loss_cls: 0.1077 d4.dn_loss_bbox: 0.1819 d4.dn_loss_iou: 0.2519 d1.loss_lmm_region: 0.1770 loss_lmm_image: 0.8642 2024/11/02 21:15:35 - mmengine - INFO - Iter(train) [ 30900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:02:03 time: 0.9657 data_time: 0.0162 memory: 20703 grad_norm: 22.1548 loss: 10.3312 loss_cls: 0.2877 loss_bbox: 0.1691 loss_iou: 0.2917 d0.loss_cls: 0.3309 d0.loss_bbox: 0.1752 d0.loss_iou: 0.3064 d1.loss_cls: 0.3055 d1.loss_bbox: 0.1711 d1.loss_iou: 0.2979 d2.loss_cls: 0.2930 d2.loss_bbox: 0.1744 d2.loss_iou: 0.2964 d3.loss_cls: 0.2964 d3.loss_bbox: 0.1675 d3.loss_iou: 0.2919 d4.loss_cls: 0.2890 d4.loss_bbox: 0.1681 d4.loss_iou: 0.2923 enc_loss_cls: 0.3463 enc_loss_bbox: 0.1943 enc_loss_iou: 0.3292 dn_loss_cls: 0.0909 dn_loss_bbox: 0.2013 dn_loss_iou: 0.2546 d0.dn_loss_cls: 0.1816 d0.dn_loss_bbox: 0.3574 d0.dn_loss_iou: 0.4046 d1.dn_loss_cls: 0.1253 d1.dn_loss_bbox: 0.2385 d1.dn_loss_iou: 0.2887 d2.dn_loss_cls: 0.1078 d2.dn_loss_bbox: 0.2112 d2.dn_loss_iou: 0.2629 d3.dn_loss_cls: 0.0961 d3.dn_loss_bbox: 0.2034 d3.dn_loss_iou: 0.2564 d4.dn_loss_cls: 0.0909 d4.dn_loss_bbox: 0.2014 d4.dn_loss_iou: 0.2546 d1.loss_lmm_region: 0.1912 loss_lmm_image: 0.8380 2024/11/02 21:17:13 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 21:17:13 - mmengine - INFO - Iter(train) [ 31000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:00:14 time: 0.9668 data_time: 0.0162 memory: 20802 grad_norm: 20.9614 loss: 10.2944 loss_cls: 0.3269 loss_bbox: 0.1536 loss_iou: 0.2752 d0.loss_cls: 0.3702 d0.loss_bbox: 0.1646 d0.loss_iou: 0.2954 d1.loss_cls: 0.3520 d1.loss_bbox: 0.1528 d1.loss_iou: 0.2774 d2.loss_cls: 0.3427 d2.loss_bbox: 0.1529 d2.loss_iou: 0.2736 d3.loss_cls: 0.3428 d3.loss_bbox: 0.1501 d3.loss_iou: 0.2706 d4.loss_cls: 0.3295 d4.loss_bbox: 0.1547 d4.loss_iou: 0.2751 enc_loss_cls: 0.3787 enc_loss_bbox: 0.1855 enc_loss_iou: 0.3211 dn_loss_cls: 0.0999 dn_loss_bbox: 0.1734 dn_loss_iou: 0.2474 d0.dn_loss_cls: 0.1927 d0.dn_loss_bbox: 0.3351 d0.dn_loss_iou: 0.4113 d1.dn_loss_cls: 0.1301 d1.dn_loss_bbox: 0.2112 d1.dn_loss_iou: 0.2856 d2.dn_loss_cls: 0.1151 d2.dn_loss_bbox: 0.1830 d2.dn_loss_iou: 0.2564 d3.dn_loss_cls: 0.1063 d3.dn_loss_bbox: 0.1744 d3.dn_loss_iou: 0.2484 d4.dn_loss_cls: 0.1016 d4.dn_loss_bbox: 0.1735 d4.dn_loss_iou: 0.2474 d1.loss_lmm_region: 0.1714 loss_lmm_image: 0.8849 2024/11/02 21:18:51 - mmengine - INFO - Iter(train) [ 31100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:58:26 time: 0.9825 data_time: 0.0163 memory: 20255 grad_norm: 24.9053 loss: 8.9758 loss_cls: 0.3032 loss_bbox: 0.1218 loss_iou: 0.2130 d0.loss_cls: 0.3369 d0.loss_bbox: 0.1287 d0.loss_iou: 0.2239 d1.loss_cls: 0.3232 d1.loss_bbox: 0.1264 d1.loss_iou: 0.2185 d2.loss_cls: 0.3143 d2.loss_bbox: 0.1216 d2.loss_iou: 0.2135 d3.loss_cls: 0.3115 d3.loss_bbox: 0.1205 d3.loss_iou: 0.2133 d4.loss_cls: 0.3045 d4.loss_bbox: 0.1213 d4.loss_iou: 0.2129 enc_loss_cls: 0.3522 enc_loss_bbox: 0.1523 enc_loss_iou: 0.2477 dn_loss_cls: 0.1264 dn_loss_bbox: 0.1428 dn_loss_iou: 0.1937 d0.dn_loss_cls: 0.1974 d0.dn_loss_bbox: 0.2821 d0.dn_loss_iou: 0.3333 d1.dn_loss_cls: 0.1476 d1.dn_loss_bbox: 0.1715 d1.dn_loss_iou: 0.2248 d2.dn_loss_cls: 0.1335 d2.dn_loss_bbox: 0.1496 d2.dn_loss_iou: 0.2018 d3.dn_loss_cls: 0.1268 d3.dn_loss_bbox: 0.1445 d3.dn_loss_iou: 0.1948 d4.dn_loss_cls: 0.1251 d4.dn_loss_bbox: 0.1429 d4.dn_loss_iou: 0.1936 d1.loss_lmm_region: 0.1770 loss_lmm_image: 0.8856 2024/11/02 21:20:28 - mmengine - INFO - Iter(train) [ 31200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:56:38 time: 0.9781 data_time: 0.0164 memory: 20941 grad_norm: 23.7512 loss: 10.7810 loss_cls: 0.3326 loss_bbox: 0.1856 loss_iou: 0.3122 d0.loss_cls: 0.3757 d0.loss_bbox: 0.1953 d0.loss_iou: 0.3278 d1.loss_cls: 0.3586 d1.loss_bbox: 0.1812 d1.loss_iou: 0.3125 d2.loss_cls: 0.3442 d2.loss_bbox: 0.1816 d2.loss_iou: 0.3117 d3.loss_cls: 0.3385 d3.loss_bbox: 0.1856 d3.loss_iou: 0.3132 d4.loss_cls: 0.3337 d4.loss_bbox: 0.1858 d4.loss_iou: 0.3117 enc_loss_cls: 0.3860 enc_loss_bbox: 0.2189 enc_loss_iou: 0.3544 dn_loss_cls: 0.1029 dn_loss_bbox: 0.1819 dn_loss_iou: 0.2445 d0.dn_loss_cls: 0.1883 d0.dn_loss_bbox: 0.3392 d0.dn_loss_iou: 0.3994 d1.dn_loss_cls: 0.1370 d1.dn_loss_bbox: 0.2195 d1.dn_loss_iou: 0.2796 d2.dn_loss_cls: 0.1192 d2.dn_loss_bbox: 0.1920 d2.dn_loss_iou: 0.2538 d3.dn_loss_cls: 0.1085 d3.dn_loss_bbox: 0.1833 d3.dn_loss_iou: 0.2457 d4.dn_loss_cls: 0.1047 d4.dn_loss_bbox: 0.1819 d4.dn_loss_iou: 0.2443 d1.loss_lmm_region: 0.1614 loss_lmm_image: 0.8474 2024/11/02 21:22:06 - mmengine - INFO - Iter(train) [ 31300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:54:52 time: 0.9820 data_time: 0.0162 memory: 21101 grad_norm: 20.4976 loss: 11.2083 loss_cls: 0.3212 loss_bbox: 0.2047 loss_iou: 0.3033 d0.loss_cls: 0.3668 d0.loss_bbox: 0.2036 d0.loss_iou: 0.3129 d1.loss_cls: 0.3482 d1.loss_bbox: 0.1954 d1.loss_iou: 0.3027 d2.loss_cls: 0.3338 d2.loss_bbox: 0.2001 d2.loss_iou: 0.2995 d3.loss_cls: 0.3243 d3.loss_bbox: 0.2042 d3.loss_iou: 0.3061 d4.loss_cls: 0.3197 d4.loss_bbox: 0.2058 d4.loss_iou: 0.3049 enc_loss_cls: 0.3833 enc_loss_bbox: 0.2159 enc_loss_iou: 0.3314 dn_loss_cls: 0.1124 dn_loss_bbox: 0.2327 dn_loss_iou: 0.2618 d0.dn_loss_cls: 0.1965 d0.dn_loss_bbox: 0.3961 d0.dn_loss_iou: 0.4183 d1.dn_loss_cls: 0.1433 d1.dn_loss_bbox: 0.2659 d1.dn_loss_iou: 0.2969 d2.dn_loss_cls: 0.1257 d2.dn_loss_bbox: 0.2406 d2.dn_loss_iou: 0.2718 d3.dn_loss_cls: 0.1175 d3.dn_loss_bbox: 0.2341 d3.dn_loss_iou: 0.2633 d4.dn_loss_cls: 0.1131 d4.dn_loss_bbox: 0.2328 d4.dn_loss_iou: 0.2620 d1.loss_lmm_region: 0.1931 loss_lmm_image: 0.8427 2024/11/02 21:23:43 - mmengine - INFO - Iter(train) [ 31400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:53:01 time: 0.9738 data_time: 0.0164 memory: 20836 grad_norm: 23.9786 loss: 10.4547 loss_cls: 0.3426 loss_bbox: 0.1565 loss_iou: 0.2847 d0.loss_cls: 0.3784 d0.loss_bbox: 0.1687 d0.loss_iou: 0.3013 d1.loss_cls: 0.3571 d1.loss_bbox: 0.1616 d1.loss_iou: 0.2933 d2.loss_cls: 0.3488 d2.loss_bbox: 0.1649 d2.loss_iou: 0.2900 d3.loss_cls: 0.3441 d3.loss_bbox: 0.1603 d3.loss_iou: 0.2907 d4.loss_cls: 0.3435 d4.loss_bbox: 0.1576 d4.loss_iou: 0.2857 enc_loss_cls: 0.3957 enc_loss_bbox: 0.1879 enc_loss_iou: 0.3239 dn_loss_cls: 0.1007 dn_loss_bbox: 0.1777 dn_loss_iou: 0.2341 d0.dn_loss_cls: 0.1926 d0.dn_loss_bbox: 0.3332 d0.dn_loss_iou: 0.3890 d1.dn_loss_cls: 0.1351 d1.dn_loss_bbox: 0.2126 d1.dn_loss_iou: 0.2690 d2.dn_loss_cls: 0.1156 d2.dn_loss_bbox: 0.1883 d2.dn_loss_iou: 0.2441 d3.dn_loss_cls: 0.1044 d3.dn_loss_bbox: 0.1793 d3.dn_loss_iou: 0.2358 d4.dn_loss_cls: 0.0998 d4.dn_loss_bbox: 0.1777 d4.dn_loss_iou: 0.2341 d1.loss_lmm_region: 0.2045 loss_lmm_image: 0.8898 2024/11/02 21:25:22 - mmengine - INFO - Iter(train) [ 31500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:51:16 time: 0.9798 data_time: 0.0163 memory: 21907 grad_norm: 22.4313 loss: 9.5379 loss_cls: 0.3078 loss_bbox: 0.1440 loss_iou: 0.2365 d0.loss_cls: 0.3337 d0.loss_bbox: 0.1552 d0.loss_iou: 0.2499 d1.loss_cls: 0.3211 d1.loss_bbox: 0.1495 d1.loss_iou: 0.2399 d2.loss_cls: 0.3152 d2.loss_bbox: 0.1459 d2.loss_iou: 0.2378 d3.loss_cls: 0.3131 d3.loss_bbox: 0.1439 d3.loss_iou: 0.2342 d4.loss_cls: 0.3092 d4.loss_bbox: 0.1442 d4.loss_iou: 0.2371 enc_loss_cls: 0.3559 enc_loss_bbox: 0.1699 enc_loss_iou: 0.2724 dn_loss_cls: 0.0910 dn_loss_bbox: 0.1764 dn_loss_iou: 0.2085 d0.dn_loss_cls: 0.1771 d0.dn_loss_bbox: 0.3432 d0.dn_loss_iou: 0.3613 d1.dn_loss_cls: 0.1237 d1.dn_loss_bbox: 0.2182 d1.dn_loss_iou: 0.2453 d2.dn_loss_cls: 0.1051 d2.dn_loss_bbox: 0.1846 d2.dn_loss_iou: 0.2182 d3.dn_loss_cls: 0.0977 d3.dn_loss_bbox: 0.1773 d3.dn_loss_iou: 0.2102 d4.dn_loss_cls: 0.0922 d4.dn_loss_bbox: 0.1765 d4.dn_loss_iou: 0.2088 d1.loss_lmm_region: 0.1743 loss_lmm_image: 0.9320 2024/11/02 21:26:59 - mmengine - INFO - Iter(train) [ 31600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:49:28 time: 0.9700 data_time: 0.0163 memory: 20529 grad_norm: 21.0132 loss: 9.3530 loss_cls: 0.2596 loss_bbox: 0.1366 loss_iou: 0.2440 d0.loss_cls: 0.2920 d0.loss_bbox: 0.1520 d0.loss_iou: 0.2618 d1.loss_cls: 0.2722 d1.loss_bbox: 0.1429 d1.loss_iou: 0.2520 d2.loss_cls: 0.2692 d2.loss_bbox: 0.1372 d2.loss_iou: 0.2454 d3.loss_cls: 0.2618 d3.loss_bbox: 0.1391 d3.loss_iou: 0.2454 d4.loss_cls: 0.2598 d4.loss_bbox: 0.1379 d4.loss_iou: 0.2435 enc_loss_cls: 0.3100 enc_loss_bbox: 0.1691 enc_loss_iou: 0.2879 dn_loss_cls: 0.0940 dn_loss_bbox: 0.1799 dn_loss_iou: 0.2272 d0.dn_loss_cls: 0.1789 d0.dn_loss_bbox: 0.3427 d0.dn_loss_iou: 0.3870 d1.dn_loss_cls: 0.1217 d1.dn_loss_bbox: 0.2146 d1.dn_loss_iou: 0.2612 d2.dn_loss_cls: 0.1031 d2.dn_loss_bbox: 0.1890 d2.dn_loss_iou: 0.2376 d3.dn_loss_cls: 0.0971 d3.dn_loss_bbox: 0.1813 d3.dn_loss_iou: 0.2288 d4.dn_loss_cls: 0.0947 d4.dn_loss_bbox: 0.1799 d4.dn_loss_iou: 0.2272 d1.loss_lmm_region: 0.1673 loss_lmm_image: 0.9202 2024/11/02 21:28:36 - mmengine - INFO - Iter(train) [ 31700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:47:36 time: 0.9640 data_time: 0.0163 memory: 20802 grad_norm: 23.1306 loss: 10.1870 loss_cls: 0.3208 loss_bbox: 0.1470 loss_iou: 0.2689 d0.loss_cls: 0.3592 d0.loss_bbox: 0.1559 d0.loss_iou: 0.2886 d1.loss_cls: 0.3448 d1.loss_bbox: 0.1477 d1.loss_iou: 0.2732 d2.loss_cls: 0.3409 d2.loss_bbox: 0.1450 d2.loss_iou: 0.2656 d3.loss_cls: 0.3240 d3.loss_bbox: 0.1464 d3.loss_iou: 0.2679 d4.loss_cls: 0.3194 d4.loss_bbox: 0.1466 d4.loss_iou: 0.2688 enc_loss_cls: 0.3715 enc_loss_bbox: 0.1719 enc_loss_iou: 0.3154 dn_loss_cls: 0.0812 dn_loss_bbox: 0.2030 dn_loss_iou: 0.2478 d0.dn_loss_cls: 0.1753 d0.dn_loss_bbox: 0.3588 d0.dn_loss_iou: 0.4047 d1.dn_loss_cls: 0.1160 d1.dn_loss_bbox: 0.2371 d1.dn_loss_iou: 0.2838 d2.dn_loss_cls: 0.0967 d2.dn_loss_bbox: 0.2096 d2.dn_loss_iou: 0.2570 d3.dn_loss_cls: 0.0881 d3.dn_loss_bbox: 0.2040 d3.dn_loss_iou: 0.2490 d4.dn_loss_cls: 0.0822 d4.dn_loss_bbox: 0.2030 d4.dn_loss_iou: 0.2475 d1.loss_lmm_region: 0.1874 loss_lmm_image: 0.8654 2024/11/02 21:30:13 - mmengine - INFO - Iter(train) [ 31800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:45:48 time: 0.9731 data_time: 0.0166 memory: 21180 grad_norm: 25.6117 loss: 9.8869 loss_cls: 0.3481 loss_bbox: 0.1397 loss_iou: 0.2473 d0.loss_cls: 0.3806 d0.loss_bbox: 0.1556 d0.loss_iou: 0.2636 d1.loss_cls: 0.3681 d1.loss_bbox: 0.1432 d1.loss_iou: 0.2511 d2.loss_cls: 0.3641 d2.loss_bbox: 0.1357 d2.loss_iou: 0.2416 d3.loss_cls: 0.3597 d3.loss_bbox: 0.1377 d3.loss_iou: 0.2430 d4.loss_cls: 0.3510 d4.loss_bbox: 0.1400 d4.loss_iou: 0.2468 enc_loss_cls: 0.3928 enc_loss_bbox: 0.1655 enc_loss_iou: 0.2839 dn_loss_cls: 0.1094 dn_loss_bbox: 0.1637 dn_loss_iou: 0.2136 d0.dn_loss_cls: 0.1956 d0.dn_loss_bbox: 0.3176 d0.dn_loss_iou: 0.3665 d1.dn_loss_cls: 0.1407 d1.dn_loss_bbox: 0.1921 d1.dn_loss_iou: 0.2450 d2.dn_loss_cls: 0.1247 d2.dn_loss_bbox: 0.1682 d2.dn_loss_iou: 0.2211 d3.dn_loss_cls: 0.1169 d3.dn_loss_bbox: 0.1636 d3.dn_loss_iou: 0.2142 d4.dn_loss_cls: 0.1117 d4.dn_loss_bbox: 0.1636 d4.dn_loss_iou: 0.2134 d1.loss_lmm_region: 0.1995 loss_lmm_image: 0.8867 2024/11/02 21:31:51 - mmengine - INFO - Iter(train) [ 31900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:43:58 time: 0.9688 data_time: 0.0163 memory: 20024 grad_norm: 22.3117 loss: 9.9075 loss_cls: 0.2767 loss_bbox: 0.1575 loss_iou: 0.2770 d0.loss_cls: 0.3106 d0.loss_bbox: 0.1692 d0.loss_iou: 0.2945 d1.loss_cls: 0.2964 d1.loss_bbox: 0.1596 d1.loss_iou: 0.2834 d2.loss_cls: 0.2912 d2.loss_bbox: 0.1563 d2.loss_iou: 0.2757 d3.loss_cls: 0.2836 d3.loss_bbox: 0.1574 d3.loss_iou: 0.2762 d4.loss_cls: 0.2781 d4.loss_bbox: 0.1574 d4.loss_iou: 0.2768 enc_loss_cls: 0.3223 enc_loss_bbox: 0.1818 enc_loss_iou: 0.3142 dn_loss_cls: 0.0918 dn_loss_bbox: 0.1844 dn_loss_iou: 0.2409 d0.dn_loss_cls: 0.1716 d0.dn_loss_bbox: 0.3588 d0.dn_loss_iou: 0.3945 d1.dn_loss_cls: 0.1227 d1.dn_loss_bbox: 0.2209 d1.dn_loss_iou: 0.2749 d2.dn_loss_cls: 0.1056 d2.dn_loss_bbox: 0.1911 d2.dn_loss_iou: 0.2491 d3.dn_loss_cls: 0.0969 d3.dn_loss_bbox: 0.1848 d3.dn_loss_iou: 0.2421 d4.dn_loss_cls: 0.0923 d4.dn_loss_bbox: 0.1844 d4.dn_loss_iou: 0.2411 d1.loss_lmm_region: 0.1599 loss_lmm_image: 0.9036 2024/11/02 21:33:27 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 21:33:27 - mmengine - INFO - Iter(train) [ 32000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:42:08 time: 0.9729 data_time: 0.0164 memory: 20422 grad_norm: 21.5009 loss: 9.9435 loss_cls: 0.3161 loss_bbox: 0.1513 loss_iou: 0.2518 d0.loss_cls: 0.3577 d0.loss_bbox: 0.1679 d0.loss_iou: 0.2689 d1.loss_cls: 0.3375 d1.loss_bbox: 0.1574 d1.loss_iou: 0.2590 d2.loss_cls: 0.3348 d2.loss_bbox: 0.1495 d2.loss_iou: 0.2519 d3.loss_cls: 0.3237 d3.loss_bbox: 0.1472 d3.loss_iou: 0.2496 d4.loss_cls: 0.3188 d4.loss_bbox: 0.1498 d4.loss_iou: 0.2515 enc_loss_cls: 0.3732 enc_loss_bbox: 0.1759 enc_loss_iou: 0.2910 dn_loss_cls: 0.0926 dn_loss_bbox: 0.1856 dn_loss_iou: 0.2289 d0.dn_loss_cls: 0.1885 d0.dn_loss_bbox: 0.3457 d0.dn_loss_iou: 0.3846 d1.dn_loss_cls: 0.1260 d1.dn_loss_bbox: 0.2210 d1.dn_loss_iou: 0.2647 d2.dn_loss_cls: 0.1068 d2.dn_loss_bbox: 0.1941 d2.dn_loss_iou: 0.2378 d3.dn_loss_cls: 0.0969 d3.dn_loss_bbox: 0.1869 d3.dn_loss_iou: 0.2305 d4.dn_loss_cls: 0.0927 d4.dn_loss_bbox: 0.1855 d4.dn_loss_iou: 0.2289 d1.loss_lmm_region: 0.2069 loss_lmm_image: 0.8543 2024/11/02 21:35:05 - mmengine - INFO - Iter(train) [ 32100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:40:20 time: 0.9758 data_time: 0.0165 memory: 20175 grad_norm: 22.0946 loss: 10.5774 loss_cls: 0.3655 loss_bbox: 0.1579 loss_iou: 0.2832 d0.loss_cls: 0.3984 d0.loss_bbox: 0.1667 d0.loss_iou: 0.2954 d1.loss_cls: 0.3784 d1.loss_bbox: 0.1663 d1.loss_iou: 0.2877 d2.loss_cls: 0.3735 d2.loss_bbox: 0.1629 d2.loss_iou: 0.2839 d3.loss_cls: 0.3680 d3.loss_bbox: 0.1585 d3.loss_iou: 0.2819 d4.loss_cls: 0.3645 d4.loss_bbox: 0.1578 d4.loss_iou: 0.2830 enc_loss_cls: 0.4041 enc_loss_bbox: 0.1909 enc_loss_iou: 0.3285 dn_loss_cls: 0.1086 dn_loss_bbox: 0.1776 dn_loss_iou: 0.2294 d0.dn_loss_cls: 0.2051 d0.dn_loss_bbox: 0.3372 d0.dn_loss_iou: 0.3842 d1.dn_loss_cls: 0.1421 d1.dn_loss_bbox: 0.2152 d1.dn_loss_iou: 0.2666 d2.dn_loss_cls: 0.1216 d2.dn_loss_bbox: 0.1883 d2.dn_loss_iou: 0.2393 d3.dn_loss_cls: 0.1135 d3.dn_loss_bbox: 0.1794 d3.dn_loss_iou: 0.2308 d4.dn_loss_cls: 0.1095 d4.dn_loss_bbox: 0.1775 d4.dn_loss_iou: 0.2292 d1.loss_lmm_region: 0.1802 loss_lmm_image: 0.8854 2024/11/02 21:36:43 - mmengine - INFO - Iter(train) [ 32200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:38:32 time: 0.9753 data_time: 0.0165 memory: 20604 grad_norm: 22.5365 loss: 9.7492 loss_cls: 0.3044 loss_bbox: 0.1352 loss_iou: 0.2621 d0.loss_cls: 0.3422 d0.loss_bbox: 0.1483 d0.loss_iou: 0.2810 d1.loss_cls: 0.3252 d1.loss_bbox: 0.1389 d1.loss_iou: 0.2688 d2.loss_cls: 0.3156 d2.loss_bbox: 0.1333 d2.loss_iou: 0.2638 d3.loss_cls: 0.3131 d3.loss_bbox: 0.1339 d3.loss_iou: 0.2607 d4.loss_cls: 0.3047 d4.loss_bbox: 0.1362 d4.loss_iou: 0.2623 enc_loss_cls: 0.3597 enc_loss_bbox: 0.1637 enc_loss_iou: 0.3069 dn_loss_cls: 0.0912 dn_loss_bbox: 0.1700 dn_loss_iou: 0.2236 d0.dn_loss_cls: 0.1734 d0.dn_loss_bbox: 0.3206 d0.dn_loss_iou: 0.3742 d1.dn_loss_cls: 0.1226 d1.dn_loss_bbox: 0.2046 d1.dn_loss_iou: 0.2573 d2.dn_loss_cls: 0.1085 d2.dn_loss_bbox: 0.1801 d2.dn_loss_iou: 0.2332 d3.dn_loss_cls: 0.0970 d3.dn_loss_bbox: 0.1715 d3.dn_loss_iou: 0.2245 d4.dn_loss_cls: 0.0915 d4.dn_loss_bbox: 0.1700 d4.dn_loss_iou: 0.2235 d1.loss_lmm_region: 0.1744 loss_lmm_image: 0.9776 2024/11/02 21:38:19 - mmengine - INFO - Iter(train) [ 32300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:36:42 time: 0.9704 data_time: 0.0166 memory: 20621 grad_norm: 21.9989 loss: 9.8830 loss_cls: 0.2966 loss_bbox: 0.1493 loss_iou: 0.2877 d0.loss_cls: 0.3331 d0.loss_bbox: 0.1619 d0.loss_iou: 0.3042 d1.loss_cls: 0.3156 d1.loss_bbox: 0.1504 d1.loss_iou: 0.2901 d2.loss_cls: 0.3079 d2.loss_bbox: 0.1477 d2.loss_iou: 0.2866 d3.loss_cls: 0.3067 d3.loss_bbox: 0.1463 d3.loss_iou: 0.2836 d4.loss_cls: 0.2993 d4.loss_bbox: 0.1497 d4.loss_iou: 0.2871 enc_loss_cls: 0.3487 enc_loss_bbox: 0.1718 enc_loss_iou: 0.3242 dn_loss_cls: 0.1030 dn_loss_bbox: 0.1671 dn_loss_iou: 0.2186 d0.dn_loss_cls: 0.1765 d0.dn_loss_bbox: 0.3311 d0.dn_loss_iou: 0.3706 d1.dn_loss_cls: 0.1309 d1.dn_loss_bbox: 0.1999 d1.dn_loss_iou: 0.2519 d2.dn_loss_cls: 0.1155 d2.dn_loss_bbox: 0.1734 d2.dn_loss_iou: 0.2267 d3.dn_loss_cls: 0.1077 d3.dn_loss_bbox: 0.1670 d3.dn_loss_iou: 0.2192 d4.dn_loss_cls: 0.1040 d4.dn_loss_bbox: 0.1671 d4.dn_loss_iou: 0.2186 d1.loss_lmm_region: 0.1536 loss_lmm_image: 0.9324 2024/11/02 21:39:57 - mmengine - INFO - Iter(train) [ 32400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:34:52 time: 0.9735 data_time: 0.0165 memory: 20930 grad_norm: 20.9984 loss: 9.8300 loss_cls: 0.3230 loss_bbox: 0.1375 loss_iou: 0.2668 d0.loss_cls: 0.3465 d0.loss_bbox: 0.1500 d0.loss_iou: 0.2860 d1.loss_cls: 0.3378 d1.loss_bbox: 0.1396 d1.loss_iou: 0.2730 d2.loss_cls: 0.3291 d2.loss_bbox: 0.1389 d2.loss_iou: 0.2748 d3.loss_cls: 0.3272 d3.loss_bbox: 0.1381 d3.loss_iou: 0.2716 d4.loss_cls: 0.3240 d4.loss_bbox: 0.1388 d4.loss_iou: 0.2693 enc_loss_cls: 0.3739 enc_loss_bbox: 0.1627 enc_loss_iou: 0.3108 dn_loss_cls: 0.0988 dn_loss_bbox: 0.1597 dn_loss_iou: 0.2155 d0.dn_loss_cls: 0.1901 d0.dn_loss_bbox: 0.3182 d0.dn_loss_iou: 0.3719 d1.dn_loss_cls: 0.1291 d1.dn_loss_bbox: 0.1985 d1.dn_loss_iou: 0.2549 d2.dn_loss_cls: 0.1127 d2.dn_loss_bbox: 0.1708 d2.dn_loss_iou: 0.2260 d3.dn_loss_cls: 0.1022 d3.dn_loss_bbox: 0.1615 d3.dn_loss_iou: 0.2177 d4.dn_loss_cls: 0.1000 d4.dn_loss_bbox: 0.1597 d4.dn_loss_iou: 0.2155 d1.loss_lmm_region: 0.1881 loss_lmm_image: 0.9199 2024/11/02 21:41:34 - mmengine - INFO - Iter(train) [ 32500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:33:06 time: 0.9860 data_time: 0.0164 memory: 20796 grad_norm: 20.9525 loss: 9.6824 loss_cls: 0.2894 loss_bbox: 0.1483 loss_iou: 0.2533 d0.loss_cls: 0.3326 d0.loss_bbox: 0.1600 d0.loss_iou: 0.2666 d1.loss_cls: 0.3143 d1.loss_bbox: 0.1546 d1.loss_iou: 0.2611 d2.loss_cls: 0.3038 d2.loss_bbox: 0.1506 d2.loss_iou: 0.2548 d3.loss_cls: 0.2973 d3.loss_bbox: 0.1485 d3.loss_iou: 0.2529 d4.loss_cls: 0.2926 d4.loss_bbox: 0.1473 d4.loss_iou: 0.2524 enc_loss_cls: 0.3470 enc_loss_bbox: 0.1760 enc_loss_iou: 0.2883 dn_loss_cls: 0.1012 dn_loss_bbox: 0.1663 dn_loss_iou: 0.2273 d0.dn_loss_cls: 0.1863 d0.dn_loss_bbox: 0.3388 d0.dn_loss_iou: 0.3892 d1.dn_loss_cls: 0.1320 d1.dn_loss_bbox: 0.2070 d1.dn_loss_iou: 0.2665 d2.dn_loss_cls: 0.1176 d2.dn_loss_bbox: 0.1759 d2.dn_loss_iou: 0.2379 d3.dn_loss_cls: 0.1060 d3.dn_loss_bbox: 0.1676 d3.dn_loss_iou: 0.2288 d4.dn_loss_cls: 0.1025 d4.dn_loss_bbox: 0.1661 d4.dn_loss_iou: 0.2271 d1.loss_lmm_region: 0.1781 loss_lmm_image: 0.8682 2024/11/02 21:43:12 - mmengine - INFO - Iter(train) [ 32600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:31:19 time: 0.9760 data_time: 0.0165 memory: 20834 grad_norm: 25.8310 loss: 9.8257 loss_cls: 0.3079 loss_bbox: 0.1415 loss_iou: 0.2759 d0.loss_cls: 0.3455 d0.loss_bbox: 0.1530 d0.loss_iou: 0.2944 d1.loss_cls: 0.3268 d1.loss_bbox: 0.1451 d1.loss_iou: 0.2821 d2.loss_cls: 0.3193 d2.loss_bbox: 0.1394 d2.loss_iou: 0.2743 d3.loss_cls: 0.3125 d3.loss_bbox: 0.1424 d3.loss_iou: 0.2754 d4.loss_cls: 0.3097 d4.loss_bbox: 0.1419 d4.loss_iou: 0.2738 enc_loss_cls: 0.3572 enc_loss_bbox: 0.1676 enc_loss_iou: 0.3166 dn_loss_cls: 0.0932 dn_loss_bbox: 0.1759 dn_loss_iou: 0.2271 d0.dn_loss_cls: 0.1722 d0.dn_loss_bbox: 0.3328 d0.dn_loss_iou: 0.3854 d1.dn_loss_cls: 0.1203 d1.dn_loss_bbox: 0.2107 d1.dn_loss_iou: 0.2618 d2.dn_loss_cls: 0.1064 d2.dn_loss_bbox: 0.1842 d2.dn_loss_iou: 0.2361 d3.dn_loss_cls: 0.0999 d3.dn_loss_bbox: 0.1783 d3.dn_loss_iou: 0.2294 d4.dn_loss_cls: 0.0943 d4.dn_loss_bbox: 0.1760 d4.dn_loss_iou: 0.2271 d1.loss_lmm_region: 0.1609 loss_lmm_image: 0.8512 2024/11/02 21:44:50 - mmengine - INFO - Iter(train) [ 32700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:29:31 time: 0.9752 data_time: 0.0164 memory: 21390 grad_norm: 21.4557 loss: 10.3287 loss_cls: 0.3231 loss_bbox: 0.1549 loss_iou: 0.2810 d0.loss_cls: 0.3602 d0.loss_bbox: 0.1667 d0.loss_iou: 0.2981 d1.loss_cls: 0.3351 d1.loss_bbox: 0.1621 d1.loss_iou: 0.2907 d2.loss_cls: 0.3341 d2.loss_bbox: 0.1521 d2.loss_iou: 0.2801 d3.loss_cls: 0.3268 d3.loss_bbox: 0.1551 d3.loss_iou: 0.2817 d4.loss_cls: 0.3243 d4.loss_bbox: 0.1544 d4.loss_iou: 0.2809 enc_loss_cls: 0.3790 enc_loss_bbox: 0.1867 enc_loss_iou: 0.3232 dn_loss_cls: 0.1101 dn_loss_bbox: 0.1884 dn_loss_iou: 0.2258 d0.dn_loss_cls: 0.2098 d0.dn_loss_bbox: 0.3518 d0.dn_loss_iou: 0.3747 d1.dn_loss_cls: 0.1508 d1.dn_loss_bbox: 0.2205 d1.dn_loss_iou: 0.2565 d2.dn_loss_cls: 0.1312 d2.dn_loss_bbox: 0.1962 d2.dn_loss_iou: 0.2333 d3.dn_loss_cls: 0.1188 d3.dn_loss_bbox: 0.1903 d3.dn_loss_iou: 0.2275 d4.dn_loss_cls: 0.1118 d4.dn_loss_bbox: 0.1885 d4.dn_loss_iou: 0.2257 d1.loss_lmm_region: 0.1827 loss_lmm_image: 0.8840 2024/11/02 21:46:27 - mmengine - INFO - Iter(train) [ 32800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:27:41 time: 0.9670 data_time: 0.0166 memory: 20337 grad_norm: 22.2401 loss: 9.3409 loss_cls: 0.2860 loss_bbox: 0.1361 loss_iou: 0.2220 d0.loss_cls: 0.3165 d0.loss_bbox: 0.1556 d0.loss_iou: 0.2454 d1.loss_cls: 0.3017 d1.loss_bbox: 0.1478 d1.loss_iou: 0.2343 d2.loss_cls: 0.2922 d2.loss_bbox: 0.1441 d2.loss_iou: 0.2268 d3.loss_cls: 0.2845 d3.loss_bbox: 0.1439 d3.loss_iou: 0.2243 d4.loss_cls: 0.2828 d4.loss_bbox: 0.1411 d4.loss_iou: 0.2212 enc_loss_cls: 0.3320 enc_loss_bbox: 0.1701 enc_loss_iou: 0.2630 dn_loss_cls: 0.0940 dn_loss_bbox: 0.1885 dn_loss_iou: 0.2118 d0.dn_loss_cls: 0.1795 d0.dn_loss_bbox: 0.3540 d0.dn_loss_iou: 0.3620 d1.dn_loss_cls: 0.1249 d1.dn_loss_bbox: 0.2271 d1.dn_loss_iou: 0.2463 d2.dn_loss_cls: 0.1084 d2.dn_loss_bbox: 0.1969 d2.dn_loss_iou: 0.2212 d3.dn_loss_cls: 0.0982 d3.dn_loss_bbox: 0.1902 d3.dn_loss_iou: 0.2133 d4.dn_loss_cls: 0.0937 d4.dn_loss_bbox: 0.1884 d4.dn_loss_iou: 0.2114 d1.loss_lmm_region: 0.1748 loss_lmm_image: 0.8847 2024/11/02 21:48:04 - mmengine - INFO - Iter(train) [ 32900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:25:55 time: 0.9745 data_time: 0.0165 memory: 21036 grad_norm: 23.4300 loss: 9.5982 loss_cls: 0.2612 loss_bbox: 0.1505 loss_iou: 0.2479 d0.loss_cls: 0.2954 d0.loss_bbox: 0.1659 d0.loss_iou: 0.2667 d1.loss_cls: 0.2805 d1.loss_bbox: 0.1540 d1.loss_iou: 0.2548 d2.loss_cls: 0.2715 d2.loss_bbox: 0.1513 d2.loss_iou: 0.2490 d3.loss_cls: 0.2665 d3.loss_bbox: 0.1503 d3.loss_iou: 0.2469 d4.loss_cls: 0.2629 d4.loss_bbox: 0.1500 d4.loss_iou: 0.2469 enc_loss_cls: 0.3165 enc_loss_bbox: 0.1760 enc_loss_iou: 0.2829 dn_loss_cls: 0.0853 dn_loss_bbox: 0.1992 dn_loss_iou: 0.2421 d0.dn_loss_cls: 0.1772 d0.dn_loss_bbox: 0.3649 d0.dn_loss_iou: 0.4030 d1.dn_loss_cls: 0.1171 d1.dn_loss_bbox: 0.2382 d1.dn_loss_iou: 0.2802 d2.dn_loss_cls: 0.1014 d2.dn_loss_bbox: 0.2094 d2.dn_loss_iou: 0.2520 d3.dn_loss_cls: 0.0922 d3.dn_loss_bbox: 0.1998 d3.dn_loss_iou: 0.2441 d4.dn_loss_cls: 0.0861 d4.dn_loss_bbox: 0.1992 d4.dn_loss_iou: 0.2422 d1.loss_lmm_region: 0.1851 loss_lmm_image: 0.8319 2024/11/02 21:49:42 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 21:49:42 - mmengine - INFO - Iter(train) [ 33000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:24:07 time: 0.9631 data_time: 0.0166 memory: 21201 grad_norm: 24.6031 loss: 9.8439 loss_cls: 0.3005 loss_bbox: 0.1466 loss_iou: 0.2720 d0.loss_cls: 0.3330 d0.loss_bbox: 0.1685 d0.loss_iou: 0.2952 d1.loss_cls: 0.3171 d1.loss_bbox: 0.1509 d1.loss_iou: 0.2770 d2.loss_cls: 0.3063 d2.loss_bbox: 0.1503 d2.loss_iou: 0.2756 d3.loss_cls: 0.3013 d3.loss_bbox: 0.1485 d3.loss_iou: 0.2723 d4.loss_cls: 0.3020 d4.loss_bbox: 0.1465 d4.loss_iou: 0.2707 enc_loss_cls: 0.3511 enc_loss_bbox: 0.1834 enc_loss_iou: 0.3238 dn_loss_cls: 0.0836 dn_loss_bbox: 0.1859 dn_loss_iou: 0.2297 d0.dn_loss_cls: 0.1683 d0.dn_loss_bbox: 0.3400 d0.dn_loss_iou: 0.3769 d1.dn_loss_cls: 0.1128 d1.dn_loss_bbox: 0.2228 d1.dn_loss_iou: 0.2623 d2.dn_loss_cls: 0.0964 d2.dn_loss_bbox: 0.1952 d2.dn_loss_iou: 0.2381 d3.dn_loss_cls: 0.0866 d3.dn_loss_bbox: 0.1876 d3.dn_loss_iou: 0.2317 d4.dn_loss_cls: 0.0842 d4.dn_loss_bbox: 0.1861 d4.dn_loss_iou: 0.2298 d1.loss_lmm_region: 0.1502 loss_lmm_image: 0.8832 2024/11/02 21:51:18 - mmengine - INFO - Iter(train) [ 33100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:22:16 time: 0.9742 data_time: 0.0166 memory: 20576 grad_norm: 21.9286 loss: 8.4866 loss_cls: 0.2595 loss_bbox: 0.1127 loss_iou: 0.2372 d0.loss_cls: 0.2887 d0.loss_bbox: 0.1255 d0.loss_iou: 0.2495 d1.loss_cls: 0.2756 d1.loss_bbox: 0.1164 d1.loss_iou: 0.2394 d2.loss_cls: 0.2655 d2.loss_bbox: 0.1152 d2.loss_iou: 0.2387 d3.loss_cls: 0.2614 d3.loss_bbox: 0.1144 d3.loss_iou: 0.2365 d4.loss_cls: 0.2600 d4.loss_bbox: 0.1123 d4.loss_iou: 0.2366 enc_loss_cls: 0.3004 enc_loss_bbox: 0.1401 enc_loss_iou: 0.2710 dn_loss_cls: 0.0876 dn_loss_bbox: 0.1357 dn_loss_iou: 0.1985 d0.dn_loss_cls: 0.1606 d0.dn_loss_bbox: 0.2727 d0.dn_loss_iou: 0.3411 d1.dn_loss_cls: 0.1125 d1.dn_loss_bbox: 0.1647 d1.dn_loss_iou: 0.2300 d2.dn_loss_cls: 0.1009 d2.dn_loss_bbox: 0.1419 d2.dn_loss_iou: 0.2061 d3.dn_loss_cls: 0.0905 d3.dn_loss_bbox: 0.1365 d3.dn_loss_iou: 0.1997 d4.dn_loss_cls: 0.0888 d4.dn_loss_bbox: 0.1357 d4.dn_loss_iou: 0.1985 d1.loss_lmm_region: 0.1504 loss_lmm_image: 0.8778 2024/11/02 21:52:56 - mmengine - INFO - Iter(train) [ 33200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:20:30 time: 0.9698 data_time: 0.0166 memory: 21062 grad_norm: 27.9046 loss: 9.7070 loss_cls: 0.3164 loss_bbox: 0.1373 loss_iou: 0.2524 d0.loss_cls: 0.3524 d0.loss_bbox: 0.1535 d0.loss_iou: 0.2702 d1.loss_cls: 0.3338 d1.loss_bbox: 0.1418 d1.loss_iou: 0.2585 d2.loss_cls: 0.3247 d2.loss_bbox: 0.1410 d2.loss_iou: 0.2575 d3.loss_cls: 0.3217 d3.loss_bbox: 0.1372 d3.loss_iou: 0.2532 d4.loss_cls: 0.3144 d4.loss_bbox: 0.1395 d4.loss_iou: 0.2546 enc_loss_cls: 0.3635 enc_loss_bbox: 0.1679 enc_loss_iou: 0.2955 dn_loss_cls: 0.0991 dn_loss_bbox: 0.1586 dn_loss_iou: 0.2202 d0.dn_loss_cls: 0.2024 d0.dn_loss_bbox: 0.3279 d0.dn_loss_iou: 0.3773 d1.dn_loss_cls: 0.1385 d1.dn_loss_bbox: 0.1954 d1.dn_loss_iou: 0.2546 d2.dn_loss_cls: 0.1170 d2.dn_loss_bbox: 0.1697 d2.dn_loss_iou: 0.2294 d3.dn_loss_cls: 0.1067 d3.dn_loss_bbox: 0.1609 d3.dn_loss_iou: 0.2223 d4.dn_loss_cls: 0.1009 d4.dn_loss_bbox: 0.1587 d4.dn_loss_iou: 0.2203 d1.loss_lmm_region: 0.1791 loss_lmm_image: 0.8810 2024/11/02 21:54:34 - mmengine - INFO - Iter(train) [ 33300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:18:44 time: 0.9806 data_time: 0.0166 memory: 20294 grad_norm: 28.5244 loss: 8.3656 loss_cls: 0.2824 loss_bbox: 0.1075 loss_iou: 0.2307 d0.loss_cls: 0.3110 d0.loss_bbox: 0.1211 d0.loss_iou: 0.2439 d1.loss_cls: 0.2981 d1.loss_bbox: 0.1108 d1.loss_iou: 0.2348 d2.loss_cls: 0.2895 d2.loss_bbox: 0.1075 d2.loss_iou: 0.2305 d3.loss_cls: 0.2859 d3.loss_bbox: 0.1073 d3.loss_iou: 0.2320 d4.loss_cls: 0.2802 d4.loss_bbox: 0.1090 d4.loss_iou: 0.2311 enc_loss_cls: 0.3198 enc_loss_bbox: 0.1345 enc_loss_iou: 0.2714 dn_loss_cls: 0.0847 dn_loss_bbox: 0.1211 dn_loss_iou: 0.1864 d0.dn_loss_cls: 0.1474 d0.dn_loss_bbox: 0.2630 d0.dn_loss_iou: 0.3280 d1.dn_loss_cls: 0.1061 d1.dn_loss_bbox: 0.1539 d1.dn_loss_iou: 0.2210 d2.dn_loss_cls: 0.0933 d2.dn_loss_bbox: 0.1297 d2.dn_loss_iou: 0.1944 d3.dn_loss_cls: 0.0896 d3.dn_loss_bbox: 0.1228 d3.dn_loss_iou: 0.1877 d4.dn_loss_cls: 0.0846 d4.dn_loss_bbox: 0.1211 d4.dn_loss_iou: 0.1862 d1.loss_lmm_region: 0.1384 loss_lmm_image: 0.8673 2024/11/02 21:56:12 - mmengine - INFO - Iter(train) [ 33400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:16:57 time: 0.9753 data_time: 0.0166 memory: 20304 grad_norm: 23.9675 loss: 9.5594 loss_cls: 0.3017 loss_bbox: 0.1344 loss_iou: 0.2524 d0.loss_cls: 0.3376 d0.loss_bbox: 0.1473 d0.loss_iou: 0.2748 d1.loss_cls: 0.3177 d1.loss_bbox: 0.1384 d1.loss_iou: 0.2617 d2.loss_cls: 0.3060 d2.loss_bbox: 0.1371 d2.loss_iou: 0.2550 d3.loss_cls: 0.3019 d3.loss_bbox: 0.1358 d3.loss_iou: 0.2545 d4.loss_cls: 0.3029 d4.loss_bbox: 0.1346 d4.loss_iou: 0.2535 enc_loss_cls: 0.3526 enc_loss_bbox: 0.1560 enc_loss_iou: 0.2928 dn_loss_cls: 0.0964 dn_loss_bbox: 0.1635 dn_loss_iou: 0.2315 d0.dn_loss_cls: 0.1824 d0.dn_loss_bbox: 0.3239 d0.dn_loss_iou: 0.3879 d1.dn_loss_cls: 0.1274 d1.dn_loss_bbox: 0.1954 d1.dn_loss_iou: 0.2656 d2.dn_loss_cls: 0.1109 d2.dn_loss_bbox: 0.1712 d2.dn_loss_iou: 0.2401 d3.dn_loss_cls: 0.1015 d3.dn_loss_bbox: 0.1643 d3.dn_loss_iou: 0.2325 d4.dn_loss_cls: 0.0959 d4.dn_loss_bbox: 0.1636 d4.dn_loss_iou: 0.2316 d1.loss_lmm_region: 0.1717 loss_lmm_image: 0.8537 2024/11/02 21:57:49 - mmengine - INFO - Iter(train) [ 33500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:15:10 time: 0.9757 data_time: 0.0168 memory: 21479 grad_norm: 27.2070 loss: 9.6333 loss_cls: 0.2815 loss_bbox: 0.1398 loss_iou: 0.2508 d0.loss_cls: 0.3135 d0.loss_bbox: 0.1560 d0.loss_iou: 0.2685 d1.loss_cls: 0.3011 d1.loss_bbox: 0.1434 d1.loss_iou: 0.2556 d2.loss_cls: 0.2922 d2.loss_bbox: 0.1390 d2.loss_iou: 0.2503 d3.loss_cls: 0.2868 d3.loss_bbox: 0.1412 d3.loss_iou: 0.2503 d4.loss_cls: 0.2827 d4.loss_bbox: 0.1398 d4.loss_iou: 0.2501 enc_loss_cls: 0.3256 enc_loss_bbox: 0.1668 enc_loss_iou: 0.2899 dn_loss_cls: 0.0843 dn_loss_bbox: 0.1923 dn_loss_iou: 0.2404 d0.dn_loss_cls: 0.1751 d0.dn_loss_bbox: 0.3665 d0.dn_loss_iou: 0.4111 d1.dn_loss_cls: 0.1164 d1.dn_loss_bbox: 0.2319 d1.dn_loss_iou: 0.2803 d2.dn_loss_cls: 0.1005 d2.dn_loss_bbox: 0.2011 d2.dn_loss_iou: 0.2502 d3.dn_loss_cls: 0.0908 d3.dn_loss_bbox: 0.1932 d3.dn_loss_iou: 0.2416 d4.dn_loss_cls: 0.0860 d4.dn_loss_bbox: 0.1923 d4.dn_loss_iou: 0.2404 d1.loss_lmm_region: 0.1611 loss_lmm_image: 0.8528 2024/11/02 21:59:27 - mmengine - INFO - Iter(train) [ 33600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:13:23 time: 0.9702 data_time: 0.0166 memory: 20610 grad_norm: 20.8628 loss: 9.5322 loss_cls: 0.2931 loss_bbox: 0.1416 loss_iou: 0.2613 d0.loss_cls: 0.3262 d0.loss_bbox: 0.1576 d0.loss_iou: 0.2828 d1.loss_cls: 0.3070 d1.loss_bbox: 0.1498 d1.loss_iou: 0.2714 d2.loss_cls: 0.2964 d2.loss_bbox: 0.1478 d2.loss_iou: 0.2649 d3.loss_cls: 0.2955 d3.loss_bbox: 0.1447 d3.loss_iou: 0.2631 d4.loss_cls: 0.2935 d4.loss_bbox: 0.1442 d4.loss_iou: 0.2624 enc_loss_cls: 0.3427 enc_loss_bbox: 0.1738 enc_loss_iou: 0.3111 dn_loss_cls: 0.0684 dn_loss_bbox: 0.1699 dn_loss_iou: 0.2360 d0.dn_loss_cls: 0.1611 d0.dn_loss_bbox: 0.3318 d0.dn_loss_iou: 0.3933 d1.dn_loss_cls: 0.0983 d1.dn_loss_bbox: 0.2051 d1.dn_loss_iou: 0.2718 d2.dn_loss_cls: 0.0804 d2.dn_loss_bbox: 0.1778 d2.dn_loss_iou: 0.2447 d3.dn_loss_cls: 0.0724 d3.dn_loss_bbox: 0.1709 d3.dn_loss_iou: 0.2370 d4.dn_loss_cls: 0.0694 d4.dn_loss_bbox: 0.1700 d4.dn_loss_iou: 0.2359 d1.loss_lmm_region: 0.1615 loss_lmm_image: 0.8457 2024/11/02 22:01:05 - mmengine - INFO - Iter(train) [ 33700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:11:37 time: 0.9727 data_time: 0.0166 memory: 20765 grad_norm: 25.1012 loss: 9.4702 loss_cls: 0.3208 loss_bbox: 0.1325 loss_iou: 0.2497 d0.loss_cls: 0.3522 d0.loss_bbox: 0.1496 d0.loss_iou: 0.2703 d1.loss_cls: 0.3440 d1.loss_bbox: 0.1397 d1.loss_iou: 0.2579 d2.loss_cls: 0.3335 d2.loss_bbox: 0.1336 d2.loss_iou: 0.2508 d3.loss_cls: 0.3245 d3.loss_bbox: 0.1338 d3.loss_iou: 0.2501 d4.loss_cls: 0.3202 d4.loss_bbox: 0.1319 d4.loss_iou: 0.2489 enc_loss_cls: 0.3717 enc_loss_bbox: 0.1580 enc_loss_iou: 0.2920 dn_loss_cls: 0.1001 dn_loss_bbox: 0.1536 dn_loss_iou: 0.2109 d0.dn_loss_cls: 0.1889 d0.dn_loss_bbox: 0.3039 d0.dn_loss_iou: 0.3588 d1.dn_loss_cls: 0.1281 d1.dn_loss_bbox: 0.1838 d1.dn_loss_iou: 0.2419 d2.dn_loss_cls: 0.1124 d2.dn_loss_bbox: 0.1617 d2.dn_loss_iou: 0.2189 d3.dn_loss_cls: 0.1092 d3.dn_loss_bbox: 0.1551 d3.dn_loss_iou: 0.2122 d4.dn_loss_cls: 0.1013 d4.dn_loss_bbox: 0.1536 d4.dn_loss_iou: 0.2107 d1.loss_lmm_region: 0.1710 loss_lmm_image: 0.8284 2024/11/02 22:02:42 - mmengine - INFO - Iter(train) [ 33800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:09:48 time: 0.9641 data_time: 0.0169 memory: 20898 grad_norm: 19.9246 loss: 10.6020 loss_cls: 0.3918 loss_bbox: 0.1533 loss_iou: 0.2839 d0.loss_cls: 0.4302 d0.loss_bbox: 0.1639 d0.loss_iou: 0.2954 d1.loss_cls: 0.4091 d1.loss_bbox: 0.1595 d1.loss_iou: 0.2896 d2.loss_cls: 0.4003 d2.loss_bbox: 0.1546 d2.loss_iou: 0.2844 d3.loss_cls: 0.3932 d3.loss_bbox: 0.1530 d3.loss_iou: 0.2824 d4.loss_cls: 0.3916 d4.loss_bbox: 0.1534 d4.loss_iou: 0.2835 enc_loss_cls: 0.4468 enc_loss_bbox: 0.1790 enc_loss_iou: 0.3230 dn_loss_cls: 0.1035 dn_loss_bbox: 0.1652 dn_loss_iou: 0.2338 d0.dn_loss_cls: 0.1899 d0.dn_loss_bbox: 0.3179 d0.dn_loss_iou: 0.3867 d1.dn_loss_cls: 0.1287 d1.dn_loss_bbox: 0.2000 d1.dn_loss_iou: 0.2686 d2.dn_loss_cls: 0.1139 d2.dn_loss_bbox: 0.1743 d2.dn_loss_iou: 0.2429 d3.dn_loss_cls: 0.1084 d3.dn_loss_bbox: 0.1673 d3.dn_loss_iou: 0.2353 d4.dn_loss_cls: 0.1040 d4.dn_loss_bbox: 0.1654 d4.dn_loss_iou: 0.2338 d1.loss_lmm_region: 0.1721 loss_lmm_image: 0.8682 2024/11/02 22:04:19 - mmengine - INFO - Iter(train) [ 33900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:08:01 time: 0.9686 data_time: 0.0168 memory: 21585 grad_norm: 28.5483 loss: 9.8981 loss_cls: 0.3468 loss_bbox: 0.1319 loss_iou: 0.2498 d0.loss_cls: 0.3795 d0.loss_bbox: 0.1542 d0.loss_iou: 0.2746 d1.loss_cls: 0.3719 d1.loss_bbox: 0.1430 d1.loss_iou: 0.2596 d2.loss_cls: 0.3593 d2.loss_bbox: 0.1416 d2.loss_iou: 0.2558 d3.loss_cls: 0.3575 d3.loss_bbox: 0.1323 d3.loss_iou: 0.2489 d4.loss_cls: 0.3518 d4.loss_bbox: 0.1332 d4.loss_iou: 0.2499 enc_loss_cls: 0.4000 enc_loss_bbox: 0.1679 enc_loss_iou: 0.3026 dn_loss_cls: 0.1029 dn_loss_bbox: 0.1632 dn_loss_iou: 0.2173 d0.dn_loss_cls: 0.2152 d0.dn_loss_bbox: 0.3052 d0.dn_loss_iou: 0.3691 d1.dn_loss_cls: 0.1569 d1.dn_loss_bbox: 0.1956 d1.dn_loss_iou: 0.2540 d2.dn_loss_cls: 0.1229 d2.dn_loss_bbox: 0.1710 d2.dn_loss_iou: 0.2260 d3.dn_loss_cls: 0.1111 d3.dn_loss_bbox: 0.1645 d3.dn_loss_iou: 0.2185 d4.dn_loss_cls: 0.1029 d4.dn_loss_bbox: 0.1633 d4.dn_loss_iou: 0.2172 d1.loss_lmm_region: 0.1579 loss_lmm_image: 0.8511 2024/11/02 22:05:57 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 22:05:57 - mmengine - INFO - Iter(train) [ 34000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:06:14 time: 0.9719 data_time: 0.0166 memory: 21544 grad_norm: 27.7463 loss: 11.3908 loss_cls: 0.3467 loss_bbox: 0.1854 loss_iou: 0.3366 d0.loss_cls: 0.3751 d0.loss_bbox: 0.2107 d0.loss_iou: 0.3619 d1.loss_cls: 0.3633 d1.loss_bbox: 0.1947 d1.loss_iou: 0.3442 d2.loss_cls: 0.3581 d2.loss_bbox: 0.1861 d2.loss_iou: 0.3371 d3.loss_cls: 0.3531 d3.loss_bbox: 0.1883 d3.loss_iou: 0.3385 d4.loss_cls: 0.3479 d4.loss_bbox: 0.1877 d4.loss_iou: 0.3376 enc_loss_cls: 0.3950 enc_loss_bbox: 0.2177 enc_loss_iou: 0.3771 dn_loss_cls: 0.0999 dn_loss_bbox: 0.2123 dn_loss_iou: 0.2648 d0.dn_loss_cls: 0.1865 d0.dn_loss_bbox: 0.3675 d0.dn_loss_iou: 0.4223 d1.dn_loss_cls: 0.1320 d1.dn_loss_bbox: 0.2447 d1.dn_loss_iou: 0.3004 d2.dn_loss_cls: 0.1139 d2.dn_loss_bbox: 0.2212 d2.dn_loss_iou: 0.2746 d3.dn_loss_cls: 0.1047 d3.dn_loss_bbox: 0.2130 d3.dn_loss_iou: 0.2662 d4.dn_loss_cls: 0.1002 d4.dn_loss_bbox: 0.2122 d4.dn_loss_iou: 0.2647 d1.loss_lmm_region: 0.1540 loss_lmm_image: 0.8930 2024/11/02 22:07:34 - mmengine - INFO - Iter(train) [ 34100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:04:27 time: 0.9649 data_time: 0.0168 memory: 20216 grad_norm: 21.4520 loss: 10.9387 loss_cls: 0.3343 loss_bbox: 0.1834 loss_iou: 0.3221 d0.loss_cls: 0.3821 d0.loss_bbox: 0.1964 d0.loss_iou: 0.3357 d1.loss_cls: 0.3631 d1.loss_bbox: 0.1837 d1.loss_iou: 0.3235 d2.loss_cls: 0.3490 d2.loss_bbox: 0.1829 d2.loss_iou: 0.3249 d3.loss_cls: 0.3410 d3.loss_bbox: 0.1841 d3.loss_iou: 0.3245 d4.loss_cls: 0.3350 d4.loss_bbox: 0.1840 d4.loss_iou: 0.3239 enc_loss_cls: 0.3930 enc_loss_bbox: 0.2122 enc_loss_iou: 0.3669 dn_loss_cls: 0.0824 dn_loss_bbox: 0.1995 dn_loss_iou: 0.2526 d0.dn_loss_cls: 0.1739 d0.dn_loss_bbox: 0.3604 d0.dn_loss_iou: 0.4199 d1.dn_loss_cls: 0.1176 d1.dn_loss_bbox: 0.2387 d1.dn_loss_iou: 0.2948 d2.dn_loss_cls: 0.0994 d2.dn_loss_bbox: 0.2086 d2.dn_loss_iou: 0.2628 d3.dn_loss_cls: 0.0902 d3.dn_loss_bbox: 0.2012 d3.dn_loss_iou: 0.2540 d4.dn_loss_cls: 0.0837 d4.dn_loss_bbox: 0.1995 d4.dn_loss_iou: 0.2523 d1.loss_lmm_region: 0.1484 loss_lmm_image: 0.8530 2024/11/02 22:09:11 - mmengine - INFO - Iter(train) [ 34200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:02:39 time: 0.9664 data_time: 0.0169 memory: 20230 grad_norm: 23.2365 loss: 9.8929 loss_cls: 0.3241 loss_bbox: 0.1332 loss_iou: 0.2586 d0.loss_cls: 0.3642 d0.loss_bbox: 0.1505 d0.loss_iou: 0.2805 d1.loss_cls: 0.3460 d1.loss_bbox: 0.1376 d1.loss_iou: 0.2656 d2.loss_cls: 0.3340 d2.loss_bbox: 0.1354 d2.loss_iou: 0.2614 d3.loss_cls: 0.3277 d3.loss_bbox: 0.1360 d3.loss_iou: 0.2607 d4.loss_cls: 0.3255 d4.loss_bbox: 0.1331 d4.loss_iou: 0.2584 enc_loss_cls: 0.3866 enc_loss_bbox: 0.1616 enc_loss_iou: 0.2987 dn_loss_cls: 0.1055 dn_loss_bbox: 0.1754 dn_loss_iou: 0.2166 d0.dn_loss_cls: 0.1960 d0.dn_loss_bbox: 0.3476 d0.dn_loss_iou: 0.3731 d1.dn_loss_cls: 0.1397 d1.dn_loss_bbox: 0.2131 d1.dn_loss_iou: 0.2519 d2.dn_loss_cls: 0.1229 d2.dn_loss_bbox: 0.1848 d2.dn_loss_iou: 0.2260 d3.dn_loss_cls: 0.1113 d3.dn_loss_bbox: 0.1774 d3.dn_loss_iou: 0.2181 d4.dn_loss_cls: 0.1065 d4.dn_loss_bbox: 0.1754 d4.dn_loss_iou: 0.2165 d1.loss_lmm_region: 0.1668 loss_lmm_image: 0.8889 2024/11/02 22:10:48 - mmengine - INFO - Iter(train) [ 34300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:00:51 time: 0.9694 data_time: 0.0168 memory: 21147 grad_norm: 20.4147 loss: 11.5513 loss_cls: 0.3593 loss_bbox: 0.1848 loss_iou: 0.3513 d0.loss_cls: 0.4041 d0.loss_bbox: 0.1954 d0.loss_iou: 0.3760 d1.loss_cls: 0.3806 d1.loss_bbox: 0.1899 d1.loss_iou: 0.3635 d2.loss_cls: 0.3695 d2.loss_bbox: 0.1834 d2.loss_iou: 0.3545 d3.loss_cls: 0.3629 d3.loss_bbox: 0.1850 d3.loss_iou: 0.3554 d4.loss_cls: 0.3612 d4.loss_bbox: 0.1841 d4.loss_iou: 0.3522 enc_loss_cls: 0.4171 enc_loss_bbox: 0.2148 enc_loss_iou: 0.3963 dn_loss_cls: 0.1003 dn_loss_bbox: 0.2058 dn_loss_iou: 0.2545 d0.dn_loss_cls: 0.1916 d0.dn_loss_bbox: 0.3591 d0.dn_loss_iou: 0.4105 d1.dn_loss_cls: 0.1366 d1.dn_loss_bbox: 0.2405 d1.dn_loss_iou: 0.2913 d2.dn_loss_cls: 0.1187 d2.dn_loss_bbox: 0.2189 d2.dn_loss_iou: 0.2647 d3.dn_loss_cls: 0.1065 d3.dn_loss_bbox: 0.2087 d3.dn_loss_iou: 0.2563 d4.dn_loss_cls: 0.1007 d4.dn_loss_bbox: 0.2057 d4.dn_loss_iou: 0.2545 d1.loss_lmm_region: 0.1649 loss_lmm_image: 0.9202 2024/11/02 22:12:26 - mmengine - INFO - Iter(train) [ 34400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:59:05 time: 0.9826 data_time: 0.0168 memory: 21956 grad_norm: 21.5268 loss: 9.5868 loss_cls: 0.2843 loss_bbox: 0.1537 loss_iou: 0.2642 d0.loss_cls: 0.3246 d0.loss_bbox: 0.1689 d0.loss_iou: 0.2797 d1.loss_cls: 0.3065 d1.loss_bbox: 0.1614 d1.loss_iou: 0.2728 d2.loss_cls: 0.2941 d2.loss_bbox: 0.1574 d2.loss_iou: 0.2680 d3.loss_cls: 0.2922 d3.loss_bbox: 0.1559 d3.loss_iou: 0.2669 d4.loss_cls: 0.2855 d4.loss_bbox: 0.1537 d4.loss_iou: 0.2661 enc_loss_cls: 0.3382 enc_loss_bbox: 0.1866 enc_loss_iou: 0.3067 dn_loss_cls: 0.0868 dn_loss_bbox: 0.1641 dn_loss_iou: 0.2207 d0.dn_loss_cls: 0.1719 d0.dn_loss_bbox: 0.3100 d0.dn_loss_iou: 0.3733 d1.dn_loss_cls: 0.1145 d1.dn_loss_bbox: 0.1987 d1.dn_loss_iou: 0.2569 d2.dn_loss_cls: 0.0995 d2.dn_loss_bbox: 0.1718 d2.dn_loss_iou: 0.2293 d3.dn_loss_cls: 0.0903 d3.dn_loss_bbox: 0.1648 d3.dn_loss_iou: 0.2217 d4.dn_loss_cls: 0.0879 d4.dn_loss_bbox: 0.1640 d4.dn_loss_iou: 0.2205 d1.loss_lmm_region: 0.1599 loss_lmm_image: 0.8931 2024/11/02 22:14:03 - mmengine - INFO - Iter(train) [ 34500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:57:17 time: 0.9656 data_time: 0.0168 memory: 21106 grad_norm: 28.6648 loss: 10.5771 loss_cls: 0.3267 loss_bbox: 0.1566 loss_iou: 0.2922 d0.loss_cls: 0.3667 d0.loss_bbox: 0.1749 d0.loss_iou: 0.3135 d1.loss_cls: 0.3475 d1.loss_bbox: 0.1664 d1.loss_iou: 0.3017 d2.loss_cls: 0.3371 d2.loss_bbox: 0.1589 d2.loss_iou: 0.2973 d3.loss_cls: 0.3321 d3.loss_bbox: 0.1593 d3.loss_iou: 0.2940 d4.loss_cls: 0.3296 d4.loss_bbox: 0.1552 d4.loss_iou: 0.2912 enc_loss_cls: 0.3844 enc_loss_bbox: 0.1877 enc_loss_iou: 0.3340 dn_loss_cls: 0.1107 dn_loss_bbox: 0.1939 dn_loss_iou: 0.2431 d0.dn_loss_cls: 0.2023 d0.dn_loss_bbox: 0.3681 d0.dn_loss_iou: 0.4056 d1.dn_loss_cls: 0.1442 d1.dn_loss_bbox: 0.2346 d1.dn_loss_iou: 0.2812 d2.dn_loss_cls: 0.1262 d2.dn_loss_bbox: 0.2048 d2.dn_loss_iou: 0.2527 d3.dn_loss_cls: 0.1185 d3.dn_loss_bbox: 0.1954 d3.dn_loss_iou: 0.2445 d4.dn_loss_cls: 0.1126 d4.dn_loss_bbox: 0.1940 d4.dn_loss_iou: 0.2431 d1.loss_lmm_region: 0.1592 loss_lmm_image: 0.8353 2024/11/02 22:15:41 - mmengine - INFO - Iter(train) [ 34600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:55:33 time: 0.9806 data_time: 0.0170 memory: 21626 grad_norm: 22.5032 loss: 10.4013 loss_cls: 0.3092 loss_bbox: 0.1607 loss_iou: 0.2676 d0.loss_cls: 0.3468 d0.loss_bbox: 0.1722 d0.loss_iou: 0.2839 d1.loss_cls: 0.3313 d1.loss_bbox: 0.1626 d1.loss_iou: 0.2709 d2.loss_cls: 0.3184 d2.loss_bbox: 0.1629 d2.loss_iou: 0.2673 d3.loss_cls: 0.3144 d3.loss_bbox: 0.1606 d3.loss_iou: 0.2671 d4.loss_cls: 0.3085 d4.loss_bbox: 0.1597 d4.loss_iou: 0.2671 enc_loss_cls: 0.3670 enc_loss_bbox: 0.1846 enc_loss_iou: 0.3025 dn_loss_cls: 0.1394 dn_loss_bbox: 0.1869 dn_loss_iou: 0.2361 d0.dn_loss_cls: 0.2200 d0.dn_loss_bbox: 0.3501 d0.dn_loss_iou: 0.3883 d1.dn_loss_cls: 0.1774 d1.dn_loss_bbox: 0.2218 d1.dn_loss_iou: 0.2704 d2.dn_loss_cls: 0.1738 d2.dn_loss_bbox: 0.1961 d2.dn_loss_iou: 0.2449 d3.dn_loss_cls: 0.1461 d3.dn_loss_bbox: 0.1879 d3.dn_loss_iou: 0.2369 d4.dn_loss_cls: 0.1379 d4.dn_loss_bbox: 0.1869 d4.dn_loss_iou: 0.2360 d1.loss_lmm_region: 0.2027 loss_lmm_image: 0.8764 2024/11/02 22:17:18 - mmengine - INFO - Iter(train) [ 34700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:53:44 time: 0.9737 data_time: 0.0168 memory: 21446 grad_norm: 23.1402 loss: 9.3770 loss_cls: 0.2784 loss_bbox: 0.1468 loss_iou: 0.2584 d0.loss_cls: 0.3017 d0.loss_bbox: 0.1654 d0.loss_iou: 0.2787 d1.loss_cls: 0.2970 d1.loss_bbox: 0.1501 d1.loss_iou: 0.2619 d2.loss_cls: 0.2894 d2.loss_bbox: 0.1459 d2.loss_iou: 0.2573 d3.loss_cls: 0.2836 d3.loss_bbox: 0.1449 d3.loss_iou: 0.2579 d4.loss_cls: 0.2781 d4.loss_bbox: 0.1482 d4.loss_iou: 0.2602 enc_loss_cls: 0.3198 enc_loss_bbox: 0.1792 enc_loss_iou: 0.2984 dn_loss_cls: 0.0694 dn_loss_bbox: 0.1738 dn_loss_iou: 0.2264 d0.dn_loss_cls: 0.1549 d0.dn_loss_bbox: 0.3301 d0.dn_loss_iou: 0.3784 d1.dn_loss_cls: 0.1053 d1.dn_loss_bbox: 0.2075 d1.dn_loss_iou: 0.2614 d2.dn_loss_cls: 0.0859 d2.dn_loss_bbox: 0.1814 d2.dn_loss_iou: 0.2346 d3.dn_loss_cls: 0.0754 d3.dn_loss_bbox: 0.1747 d3.dn_loss_iou: 0.2277 d4.dn_loss_cls: 0.0707 d4.dn_loss_bbox: 0.1738 d4.dn_loss_iou: 0.2263 d1.loss_lmm_region: 0.1548 loss_lmm_image: 0.8632 2024/11/02 22:18:55 - mmengine - INFO - Iter(train) [ 34800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:51:56 time: 0.9737 data_time: 0.0170 memory: 21109 grad_norm: 24.0190 loss: 10.4268 loss_cls: 0.3104 loss_bbox: 0.1792 loss_iou: 0.2769 d0.loss_cls: 0.3465 d0.loss_bbox: 0.1953 d0.loss_iou: 0.2951 d1.loss_cls: 0.3265 d1.loss_bbox: 0.1868 d1.loss_iou: 0.2850 d2.loss_cls: 0.3136 d2.loss_bbox: 0.1834 d2.loss_iou: 0.2846 d3.loss_cls: 0.3170 d3.loss_bbox: 0.1794 d3.loss_iou: 0.2794 d4.loss_cls: 0.3099 d4.loss_bbox: 0.1797 d4.loss_iou: 0.2780 enc_loss_cls: 0.3634 enc_loss_bbox: 0.2071 enc_loss_iou: 0.3164 dn_loss_cls: 0.0988 dn_loss_bbox: 0.2047 dn_loss_iou: 0.2288 d0.dn_loss_cls: 0.1856 d0.dn_loss_bbox: 0.3751 d0.dn_loss_iou: 0.3808 d1.dn_loss_cls: 0.1381 d1.dn_loss_bbox: 0.2411 d1.dn_loss_iou: 0.2619 d2.dn_loss_cls: 0.1173 d2.dn_loss_bbox: 0.2138 d2.dn_loss_iou: 0.2381 d3.dn_loss_cls: 0.1056 d3.dn_loss_bbox: 0.2060 d3.dn_loss_iou: 0.2298 d4.dn_loss_cls: 0.1001 d4.dn_loss_bbox: 0.2047 d4.dn_loss_iou: 0.2287 d1.loss_lmm_region: 0.1721 loss_lmm_image: 0.8824 2024/11/02 22:20:33 - mmengine - INFO - Iter(train) [ 34900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:50:11 time: 0.9810 data_time: 0.0169 memory: 21742 grad_norm: 22.1000 loss: 11.0671 loss_cls: 0.4192 loss_bbox: 0.1417 loss_iou: 0.3260 d0.loss_cls: 0.4633 d0.loss_bbox: 0.1562 d0.loss_iou: 0.3415 d1.loss_cls: 0.4366 d1.loss_bbox: 0.1524 d1.loss_iou: 0.3368 d2.loss_cls: 0.4315 d2.loss_bbox: 0.1507 d2.loss_iou: 0.3332 d3.loss_cls: 0.4309 d3.loss_bbox: 0.1423 d3.loss_iou: 0.3250 d4.loss_cls: 0.4255 d4.loss_bbox: 0.1417 d4.loss_iou: 0.3260 enc_loss_cls: 0.4729 enc_loss_bbox: 0.1729 enc_loss_iou: 0.3724 dn_loss_cls: 0.1231 dn_loss_bbox: 0.1575 dn_loss_iou: 0.2323 d0.dn_loss_cls: 0.2039 d0.dn_loss_bbox: 0.2827 d0.dn_loss_iou: 0.3739 d1.dn_loss_cls: 0.1588 d1.dn_loss_bbox: 0.1856 d1.dn_loss_iou: 0.2645 d2.dn_loss_cls: 0.1417 d2.dn_loss_bbox: 0.1658 d2.dn_loss_iou: 0.2412 d3.dn_loss_cls: 0.1280 d3.dn_loss_bbox: 0.1581 d3.dn_loss_iou: 0.2331 d4.dn_loss_cls: 0.1223 d4.dn_loss_bbox: 0.1574 d4.dn_loss_iou: 0.2321 d1.loss_lmm_region: 0.1644 loss_lmm_image: 0.8422 2024/11/02 22:22:10 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 22:22:10 - mmengine - INFO - Iter(train) [ 35000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:48:22 time: 0.9630 data_time: 0.0170 memory: 20676 grad_norm: 22.7914 loss: 9.5533 loss_cls: 0.3055 loss_bbox: 0.1383 loss_iou: 0.2849 d0.loss_cls: 0.3324 d0.loss_bbox: 0.1502 d0.loss_iou: 0.3019 d1.loss_cls: 0.3239 d1.loss_bbox: 0.1371 d1.loss_iou: 0.2816 d2.loss_cls: 0.3119 d2.loss_bbox: 0.1381 d2.loss_iou: 0.2881 d3.loss_cls: 0.3094 d3.loss_bbox: 0.1377 d3.loss_iou: 0.2848 d4.loss_cls: 0.3085 d4.loss_bbox: 0.1366 d4.loss_iou: 0.2825 enc_loss_cls: 0.3518 enc_loss_bbox: 0.1614 enc_loss_iou: 0.3206 dn_loss_cls: 0.0956 dn_loss_bbox: 0.1518 dn_loss_iou: 0.2103 d0.dn_loss_cls: 0.1748 d0.dn_loss_bbox: 0.3102 d0.dn_loss_iou: 0.3633 d1.dn_loss_cls: 0.1232 d1.dn_loss_bbox: 0.1890 d1.dn_loss_iou: 0.2465 d2.dn_loss_cls: 0.1083 d2.dn_loss_bbox: 0.1609 d2.dn_loss_iou: 0.2194 d3.dn_loss_cls: 0.1006 d3.dn_loss_bbox: 0.1542 d3.dn_loss_iou: 0.2127 d4.dn_loss_cls: 0.0966 d4.dn_loss_bbox: 0.1518 d4.dn_loss_iou: 0.2102 d1.loss_lmm_region: 0.1508 loss_lmm_image: 0.8360 2024/11/02 22:23:48 - mmengine - INFO - Iter(train) [ 35100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:46:38 time: 0.9838 data_time: 0.0170 memory: 21405 grad_norm: 25.3241 loss: 9.3736 loss_cls: 0.2984 loss_bbox: 0.1292 loss_iou: 0.2093 d0.loss_cls: 0.3287 d0.loss_bbox: 0.1463 d0.loss_iou: 0.2255 d1.loss_cls: 0.3099 d1.loss_bbox: 0.1378 d1.loss_iou: 0.2161 d2.loss_cls: 0.3038 d2.loss_bbox: 0.1329 d2.loss_iou: 0.2115 d3.loss_cls: 0.2980 d3.loss_bbox: 0.1319 d3.loss_iou: 0.2106 d4.loss_cls: 0.2956 d4.loss_bbox: 0.1326 d4.loss_iou: 0.2122 enc_loss_cls: 0.3397 enc_loss_bbox: 0.1572 enc_loss_iou: 0.2484 dn_loss_cls: 0.1009 dn_loss_bbox: 0.1905 dn_loss_iou: 0.2181 d0.dn_loss_cls: 0.1929 d0.dn_loss_bbox: 0.3667 d0.dn_loss_iou: 0.3766 d1.dn_loss_cls: 0.1352 d1.dn_loss_bbox: 0.2257 d1.dn_loss_iou: 0.2528 d2.dn_loss_cls: 0.1170 d2.dn_loss_bbox: 0.1981 d2.dn_loss_iou: 0.2269 d3.dn_loss_cls: 0.1084 d3.dn_loss_bbox: 0.1918 d3.dn_loss_iou: 0.2199 d4.dn_loss_cls: 0.1034 d4.dn_loss_bbox: 0.1904 d4.dn_loss_iou: 0.2182 d1.loss_lmm_region: 0.1777 loss_lmm_image: 0.8870 2024/11/02 22:25:26 - mmengine - INFO - Iter(train) [ 35200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:44:54 time: 0.9868 data_time: 0.0170 memory: 20977 grad_norm: 24.1712 loss: 9.3037 loss_cls: 0.2873 loss_bbox: 0.1367 loss_iou: 0.2403 d0.loss_cls: 0.3178 d0.loss_bbox: 0.1560 d0.loss_iou: 0.2613 d1.loss_cls: 0.3013 d1.loss_bbox: 0.1477 d1.loss_iou: 0.2471 d2.loss_cls: 0.2938 d2.loss_bbox: 0.1457 d2.loss_iou: 0.2437 d3.loss_cls: 0.2922 d3.loss_bbox: 0.1363 d3.loss_iou: 0.2412 d4.loss_cls: 0.2850 d4.loss_bbox: 0.1396 d4.loss_iou: 0.2430 enc_loss_cls: 0.3422 enc_loss_bbox: 0.1742 enc_loss_iou: 0.2803 dn_loss_cls: 0.0898 dn_loss_bbox: 0.1632 dn_loss_iou: 0.2130 d0.dn_loss_cls: 0.1845 d0.dn_loss_bbox: 0.3098 d0.dn_loss_iou: 0.3609 d1.dn_loss_cls: 0.1241 d1.dn_loss_bbox: 0.1934 d1.dn_loss_iou: 0.2460 d2.dn_loss_cls: 0.1061 d2.dn_loss_bbox: 0.1718 d2.dn_loss_iou: 0.2218 d3.dn_loss_cls: 0.0946 d3.dn_loss_bbox: 0.1636 d3.dn_loss_iou: 0.2141 d4.dn_loss_cls: 0.0907 d4.dn_loss_bbox: 0.1632 d4.dn_loss_iou: 0.2130 d1.loss_lmm_region: 0.1856 loss_lmm_image: 0.8816 2024/11/02 22:27:04 - mmengine - INFO - Iter(train) [ 35300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:43:09 time: 0.9883 data_time: 0.0170 memory: 20927 grad_norm: 21.7146 loss: 10.8148 loss_cls: 0.3533 loss_bbox: 0.1561 loss_iou: 0.3171 d0.loss_cls: 0.3976 d0.loss_bbox: 0.1660 d0.loss_iou: 0.3243 d1.loss_cls: 0.3840 d1.loss_bbox: 0.1598 d1.loss_iou: 0.3161 d2.loss_cls: 0.3792 d2.loss_bbox: 0.1539 d2.loss_iou: 0.3144 d3.loss_cls: 0.3634 d3.loss_bbox: 0.1530 d3.loss_iou: 0.3148 d4.loss_cls: 0.3567 d4.loss_bbox: 0.1557 d4.loss_iou: 0.3141 enc_loss_cls: 0.4179 enc_loss_bbox: 0.1815 enc_loss_iou: 0.3452 dn_loss_cls: 0.0998 dn_loss_bbox: 0.1874 dn_loss_iou: 0.2433 d0.dn_loss_cls: 0.2029 d0.dn_loss_bbox: 0.3419 d0.dn_loss_iou: 0.3931 d1.dn_loss_cls: 0.1424 d1.dn_loss_bbox: 0.2188 d1.dn_loss_iou: 0.2755 d2.dn_loss_cls: 0.1218 d2.dn_loss_bbox: 0.1953 d2.dn_loss_iou: 0.2509 d3.dn_loss_cls: 0.1079 d3.dn_loss_bbox: 0.1881 d3.dn_loss_iou: 0.2445 d4.dn_loss_cls: 0.1020 d4.dn_loss_bbox: 0.1875 d4.dn_loss_iou: 0.2433 d1.loss_lmm_region: 0.1773 loss_lmm_image: 0.8668 2024/11/02 22:28:42 - mmengine - INFO - Iter(train) [ 35400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:41:24 time: 0.9879 data_time: 0.0170 memory: 20214 grad_norm: 20.3113 loss: 11.2493 loss_cls: 0.3438 loss_bbox: 0.1870 loss_iou: 0.3378 d0.loss_cls: 0.3873 d0.loss_bbox: 0.2014 d0.loss_iou: 0.3561 d1.loss_cls: 0.3627 d1.loss_bbox: 0.1931 d1.loss_iou: 0.3464 d2.loss_cls: 0.3557 d2.loss_bbox: 0.1913 d2.loss_iou: 0.3385 d3.loss_cls: 0.3509 d3.loss_bbox: 0.1862 d3.loss_iou: 0.3367 d4.loss_cls: 0.3463 d4.loss_bbox: 0.1862 d4.loss_iou: 0.3363 enc_loss_cls: 0.4023 enc_loss_bbox: 0.2207 enc_loss_iou: 0.3837 dn_loss_cls: 0.1040 dn_loss_bbox: 0.1902 dn_loss_iou: 0.2601 d0.dn_loss_cls: 0.1924 d0.dn_loss_bbox: 0.3347 d0.dn_loss_iou: 0.4179 d1.dn_loss_cls: 0.1392 d1.dn_loss_bbox: 0.2241 d1.dn_loss_iou: 0.2944 d2.dn_loss_cls: 0.1213 d2.dn_loss_bbox: 0.1990 d2.dn_loss_iou: 0.2690 d3.dn_loss_cls: 0.1109 d3.dn_loss_bbox: 0.1911 d3.dn_loss_iou: 0.2618 d4.dn_loss_cls: 0.1052 d4.dn_loss_bbox: 0.1904 d4.dn_loss_iou: 0.2601 d1.loss_lmm_region: 0.1758 loss_lmm_image: 0.8573 2024/11/02 22:30:20 - mmengine - INFO - Iter(train) [ 35500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:39:40 time: 0.9769 data_time: 0.0169 memory: 21029 grad_norm: 24.8052 loss: 10.2392 loss_cls: 0.3370 loss_bbox: 0.1565 loss_iou: 0.2837 d0.loss_cls: 0.3906 d0.loss_bbox: 0.1688 d0.loss_iou: 0.2994 d1.loss_cls: 0.3674 d1.loss_bbox: 0.1607 d1.loss_iou: 0.2906 d2.loss_cls: 0.3595 d2.loss_bbox: 0.1559 d2.loss_iou: 0.2839 d3.loss_cls: 0.3442 d3.loss_bbox: 0.1587 d3.loss_iou: 0.2838 d4.loss_cls: 0.3408 d4.loss_bbox: 0.1551 d4.loss_iou: 0.2827 enc_loss_cls: 0.4085 enc_loss_bbox: 0.1883 enc_loss_iou: 0.3275 dn_loss_cls: 0.0986 dn_loss_bbox: 0.1619 dn_loss_iou: 0.2206 d0.dn_loss_cls: 0.1816 d0.dn_loss_bbox: 0.3096 d0.dn_loss_iou: 0.3706 d1.dn_loss_cls: 0.1328 d1.dn_loss_bbox: 0.1950 d1.dn_loss_iou: 0.2561 d2.dn_loss_cls: 0.1158 d2.dn_loss_bbox: 0.1706 d2.dn_loss_iou: 0.2298 d3.dn_loss_cls: 0.1048 d3.dn_loss_bbox: 0.1637 d3.dn_loss_iou: 0.2215 d4.dn_loss_cls: 0.0994 d4.dn_loss_bbox: 0.1619 d4.dn_loss_iou: 0.2205 d1.loss_lmm_region: 0.1664 loss_lmm_image: 0.9144 2024/11/02 22:31:58 - mmengine - INFO - Iter(train) [ 35600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:37:53 time: 0.9742 data_time: 0.0172 memory: 20314 grad_norm: 20.9379 loss: 10.4954 loss_cls: 0.3485 loss_bbox: 0.1550 loss_iou: 0.3011 d0.loss_cls: 0.3908 d0.loss_bbox: 0.1676 d0.loss_iou: 0.3157 d1.loss_cls: 0.3673 d1.loss_bbox: 0.1601 d1.loss_iou: 0.3054 d2.loss_cls: 0.3590 d2.loss_bbox: 0.1582 d2.loss_iou: 0.3012 d3.loss_cls: 0.3547 d3.loss_bbox: 0.1541 d3.loss_iou: 0.3001 d4.loss_cls: 0.3502 d4.loss_bbox: 0.1530 d4.loss_iou: 0.2990 enc_loss_cls: 0.4069 enc_loss_bbox: 0.1854 enc_loss_iou: 0.3416 dn_loss_cls: 0.1042 dn_loss_bbox: 0.1696 dn_loss_iou: 0.2390 d0.dn_loss_cls: 0.1949 d0.dn_loss_bbox: 0.3158 d0.dn_loss_iou: 0.3875 d1.dn_loss_cls: 0.1377 d1.dn_loss_bbox: 0.2080 d1.dn_loss_iou: 0.2735 d2.dn_loss_cls: 0.1202 d2.dn_loss_bbox: 0.1788 d2.dn_loss_iou: 0.2490 d3.dn_loss_cls: 0.1108 d3.dn_loss_bbox: 0.1711 d3.dn_loss_iou: 0.2409 d4.dn_loss_cls: 0.1048 d4.dn_loss_bbox: 0.1696 d4.dn_loss_iou: 0.2389 d1.loss_lmm_region: 0.1655 loss_lmm_image: 0.8408 2024/11/02 22:33:35 - mmengine - INFO - Iter(train) [ 35700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:36:07 time: 0.9718 data_time: 0.0171 memory: 20501 grad_norm: 21.3926 loss: 10.0685 loss_cls: 0.2950 loss_bbox: 0.1572 loss_iou: 0.2769 d0.loss_cls: 0.3303 d0.loss_bbox: 0.1796 d0.loss_iou: 0.3075 d1.loss_cls: 0.3138 d1.loss_bbox: 0.1604 d1.loss_iou: 0.2856 d2.loss_cls: 0.3060 d2.loss_bbox: 0.1562 d2.loss_iou: 0.2764 d3.loss_cls: 0.3015 d3.loss_bbox: 0.1532 d3.loss_iou: 0.2762 d4.loss_cls: 0.2998 d4.loss_bbox: 0.1545 d4.loss_iou: 0.2755 enc_loss_cls: 0.3487 enc_loss_bbox: 0.1842 enc_loss_iou: 0.3244 dn_loss_cls: 0.0814 dn_loss_bbox: 0.1870 dn_loss_iou: 0.2465 d0.dn_loss_cls: 0.1681 d0.dn_loss_bbox: 0.3430 d0.dn_loss_iou: 0.4062 d1.dn_loss_cls: 0.1166 d1.dn_loss_bbox: 0.2212 d1.dn_loss_iou: 0.2826 d2.dn_loss_cls: 0.1008 d2.dn_loss_bbox: 0.1961 d2.dn_loss_iou: 0.2563 d3.dn_loss_cls: 0.0880 d3.dn_loss_bbox: 0.1880 d3.dn_loss_iou: 0.2481 d4.dn_loss_cls: 0.0818 d4.dn_loss_bbox: 0.1871 d4.dn_loss_iou: 0.2466 d1.loss_lmm_region: 0.1451 loss_lmm_image: 0.9148 2024/11/02 22:35:13 - mmengine - INFO - Iter(train) [ 35800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:34:24 time: 0.9760 data_time: 0.0172 memory: 20889 grad_norm: 25.3414 loss: 9.9009 loss_cls: 0.3013 loss_bbox: 0.1432 loss_iou: 0.2432 d0.loss_cls: 0.3363 d0.loss_bbox: 0.1564 d0.loss_iou: 0.2550 d1.loss_cls: 0.3091 d1.loss_bbox: 0.1553 d1.loss_iou: 0.2508 d2.loss_cls: 0.3063 d2.loss_bbox: 0.1442 d2.loss_iou: 0.2453 d3.loss_cls: 0.3037 d3.loss_bbox: 0.1448 d3.loss_iou: 0.2439 d4.loss_cls: 0.3031 d4.loss_bbox: 0.1430 d4.loss_iou: 0.2425 enc_loss_cls: 0.3481 enc_loss_bbox: 0.1750 enc_loss_iou: 0.2782 dn_loss_cls: 0.1028 dn_loss_bbox: 0.2090 dn_loss_iou: 0.2323 d0.dn_loss_cls: 0.1991 d0.dn_loss_bbox: 0.3719 d0.dn_loss_iou: 0.3747 d1.dn_loss_cls: 0.1371 d1.dn_loss_bbox: 0.2414 d1.dn_loss_iou: 0.2622 d2.dn_loss_cls: 0.1190 d2.dn_loss_bbox: 0.2189 d2.dn_loss_iou: 0.2405 d3.dn_loss_cls: 0.1097 d3.dn_loss_bbox: 0.2113 d3.dn_loss_iou: 0.2334 d4.dn_loss_cls: 0.1027 d4.dn_loss_bbox: 0.2091 d4.dn_loss_iou: 0.2323 d1.loss_lmm_region: 0.1644 loss_lmm_image: 0.9002 2024/11/02 22:36:51 - mmengine - INFO - Iter(train) [ 35900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:32:38 time: 0.9743 data_time: 0.0171 memory: 20404 grad_norm: 24.0553 loss: 9.7380 loss_cls: 0.2851 loss_bbox: 0.1440 loss_iou: 0.2841 d0.loss_cls: 0.3140 d0.loss_bbox: 0.1597 d0.loss_iou: 0.2979 d1.loss_cls: 0.3005 d1.loss_bbox: 0.1512 d1.loss_iou: 0.2890 d2.loss_cls: 0.2933 d2.loss_bbox: 0.1425 d2.loss_iou: 0.2851 d3.loss_cls: 0.2916 d3.loss_bbox: 0.1442 d3.loss_iou: 0.2828 d4.loss_cls: 0.2889 d4.loss_bbox: 0.1431 d4.loss_iou: 0.2832 enc_loss_cls: 0.3300 enc_loss_bbox: 0.1661 enc_loss_iou: 0.3156 dn_loss_cls: 0.0832 dn_loss_bbox: 0.1807 dn_loss_iou: 0.2327 d0.dn_loss_cls: 0.1666 d0.dn_loss_bbox: 0.3323 d0.dn_loss_iou: 0.3810 d1.dn_loss_cls: 0.1156 d1.dn_loss_bbox: 0.2151 d1.dn_loss_iou: 0.2677 d2.dn_loss_cls: 0.1002 d2.dn_loss_bbox: 0.1882 d2.dn_loss_iou: 0.2423 d3.dn_loss_cls: 0.0900 d3.dn_loss_bbox: 0.1827 d3.dn_loss_iou: 0.2348 d4.dn_loss_cls: 0.0839 d4.dn_loss_bbox: 0.1805 d4.dn_loss_iou: 0.2324 d1.loss_lmm_region: 0.1360 loss_lmm_image: 0.9004 2024/11/02 22:38:29 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 22:38:29 - mmengine - INFO - Iter(train) [ 36000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:30:53 time: 0.9700 data_time: 0.0171 memory: 21479 grad_norm: 20.9705 loss: 8.6609 loss_cls: 0.2385 loss_bbox: 0.1083 loss_iou: 0.1789 d0.loss_cls: 0.2645 d0.loss_bbox: 0.1220 d0.loss_iou: 0.1927 d1.loss_cls: 0.2530 d1.loss_bbox: 0.1089 d1.loss_iou: 0.1814 d2.loss_cls: 0.2466 d2.loss_bbox: 0.1082 d2.loss_iou: 0.1787 d3.loss_cls: 0.2433 d3.loss_bbox: 0.1083 d3.loss_iou: 0.1797 d4.loss_cls: 0.2391 d4.loss_bbox: 0.1092 d4.loss_iou: 0.1790 enc_loss_cls: 0.2780 enc_loss_bbox: 0.1313 enc_loss_iou: 0.2096 dn_loss_cls: 0.1048 dn_loss_bbox: 0.2102 dn_loss_iou: 0.2183 d0.dn_loss_cls: 0.1828 d0.dn_loss_bbox: 0.3765 d0.dn_loss_iou: 0.3723 d1.dn_loss_cls: 0.1322 d1.dn_loss_bbox: 0.2513 d1.dn_loss_iou: 0.2538 d2.dn_loss_cls: 0.1171 d2.dn_loss_bbox: 0.2235 d2.dn_loss_iou: 0.2273 d3.dn_loss_cls: 0.1107 d3.dn_loss_bbox: 0.2117 d3.dn_loss_iou: 0.2199 d4.dn_loss_cls: 0.1061 d4.dn_loss_bbox: 0.2102 d4.dn_loss_iou: 0.2182 d1.loss_lmm_region: 0.1648 loss_lmm_image: 0.8898 2024/11/02 22:40:06 - mmengine - INFO - Iter(train) [ 36100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:29:07 time: 0.9726 data_time: 0.0170 memory: 20502 grad_norm: 22.3900 loss: 9.8465 loss_cls: 0.3343 loss_bbox: 0.1311 loss_iou: 0.2678 d0.loss_cls: 0.3730 d0.loss_bbox: 0.1509 d0.loss_iou: 0.2873 d1.loss_cls: 0.3555 d1.loss_bbox: 0.1418 d1.loss_iou: 0.2740 d2.loss_cls: 0.3473 d2.loss_bbox: 0.1383 d2.loss_iou: 0.2714 d3.loss_cls: 0.3418 d3.loss_bbox: 0.1306 d3.loss_iou: 0.2685 d4.loss_cls: 0.3393 d4.loss_bbox: 0.1312 d4.loss_iou: 0.2677 enc_loss_cls: 0.3920 enc_loss_bbox: 0.1615 enc_loss_iou: 0.3115 dn_loss_cls: 0.1035 dn_loss_bbox: 0.1552 dn_loss_iou: 0.2173 d0.dn_loss_cls: 0.1844 d0.dn_loss_bbox: 0.3097 d0.dn_loss_iou: 0.3779 d1.dn_loss_cls: 0.1313 d1.dn_loss_bbox: 0.1916 d1.dn_loss_iou: 0.2550 d2.dn_loss_cls: 0.1182 d2.dn_loss_bbox: 0.1632 d2.dn_loss_iou: 0.2257 d3.dn_loss_cls: 0.1105 d3.dn_loss_bbox: 0.1569 d3.dn_loss_iou: 0.2189 d4.dn_loss_cls: 0.1048 d4.dn_loss_bbox: 0.1554 d4.dn_loss_iou: 0.2175 d1.loss_lmm_region: 0.1527 loss_lmm_image: 0.8800 2024/11/02 22:41:44 - mmengine - INFO - Iter(train) [ 36200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:27:21 time: 0.9663 data_time: 0.0171 memory: 20885 grad_norm: 21.7619 loss: 9.7659 loss_cls: 0.3145 loss_bbox: 0.1439 loss_iou: 0.2964 d0.loss_cls: 0.3527 d0.loss_bbox: 0.1599 d0.loss_iou: 0.3159 d1.loss_cls: 0.3366 d1.loss_bbox: 0.1489 d1.loss_iou: 0.3026 d2.loss_cls: 0.3302 d2.loss_bbox: 0.1425 d2.loss_iou: 0.2955 d3.loss_cls: 0.3181 d3.loss_bbox: 0.1487 d3.loss_iou: 0.2985 d4.loss_cls: 0.3132 d4.loss_bbox: 0.1445 d4.loss_iou: 0.2970 enc_loss_cls: 0.3597 enc_loss_bbox: 0.1776 enc_loss_iou: 0.3415 dn_loss_cls: 0.0710 dn_loss_bbox: 0.1470 dn_loss_iou: 0.2222 d0.dn_loss_cls: 0.1555 d0.dn_loss_bbox: 0.2791 d0.dn_loss_iou: 0.3634 d1.dn_loss_cls: 0.1004 d1.dn_loss_bbox: 0.1769 d1.dn_loss_iou: 0.2527 d2.dn_loss_cls: 0.0847 d2.dn_loss_bbox: 0.1559 d2.dn_loss_iou: 0.2314 d3.dn_loss_cls: 0.0739 d3.dn_loss_bbox: 0.1486 d3.dn_loss_iou: 0.2229 d4.dn_loss_cls: 0.0714 d4.dn_loss_bbox: 0.1470 d4.dn_loss_iou: 0.2222 d1.loss_lmm_region: 0.1642 loss_lmm_image: 0.9371 2024/11/02 22:43:22 - mmengine - INFO - Iter(train) [ 36300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:25:37 time: 0.9720 data_time: 0.0171 memory: 20506 grad_norm: 22.0982 loss: 10.6696 loss_cls: 0.3359 loss_bbox: 0.1564 loss_iou: 0.2719 d0.loss_cls: 0.3694 d0.loss_bbox: 0.1700 d0.loss_iou: 0.2874 d1.loss_cls: 0.3481 d1.loss_bbox: 0.1622 d1.loss_iou: 0.2765 d2.loss_cls: 0.3431 d2.loss_bbox: 0.1594 d2.loss_iou: 0.2742 d3.loss_cls: 0.3381 d3.loss_bbox: 0.1570 d3.loss_iou: 0.2711 d4.loss_cls: 0.3360 d4.loss_bbox: 0.1560 d4.loss_iou: 0.2717 enc_loss_cls: 0.3921 enc_loss_bbox: 0.1820 enc_loss_iou: 0.3104 dn_loss_cls: 0.1231 dn_loss_bbox: 0.2065 dn_loss_iou: 0.2509 d0.dn_loss_cls: 0.2095 d0.dn_loss_bbox: 0.3752 d0.dn_loss_iou: 0.4078 d1.dn_loss_cls: 0.1525 d1.dn_loss_bbox: 0.2433 d1.dn_loss_iou: 0.2859 d2.dn_loss_cls: 0.1355 d2.dn_loss_bbox: 0.2192 d2.dn_loss_iou: 0.2612 d3.dn_loss_cls: 0.1241 d3.dn_loss_bbox: 0.2087 d3.dn_loss_iou: 0.2528 d4.dn_loss_cls: 0.1224 d4.dn_loss_bbox: 0.2065 d4.dn_loss_iou: 0.2508 d1.loss_lmm_region: 0.1803 loss_lmm_image: 0.8844 2024/11/02 22:45:00 - mmengine - INFO - Iter(train) [ 36400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:23:54 time: 0.9761 data_time: 0.0171 memory: 21452 grad_norm: 25.7647 loss: 10.6443 loss_cls: 0.3271 loss_bbox: 0.1691 loss_iou: 0.2803 d0.loss_cls: 0.3575 d0.loss_bbox: 0.1871 d0.loss_iou: 0.3003 d1.loss_cls: 0.3411 d1.loss_bbox: 0.1788 d1.loss_iou: 0.2909 d2.loss_cls: 0.3347 d2.loss_bbox: 0.1720 d2.loss_iou: 0.2860 d3.loss_cls: 0.3296 d3.loss_bbox: 0.1717 d3.loss_iou: 0.2831 d4.loss_cls: 0.3252 d4.loss_bbox: 0.1692 d4.loss_iou: 0.2808 enc_loss_cls: 0.3699 enc_loss_bbox: 0.2046 enc_loss_iou: 0.3186 dn_loss_cls: 0.1096 dn_loss_bbox: 0.1998 dn_loss_iou: 0.2404 d0.dn_loss_cls: 0.2019 d0.dn_loss_bbox: 0.3748 d0.dn_loss_iou: 0.4013 d1.dn_loss_cls: 0.1457 d1.dn_loss_bbox: 0.2408 d1.dn_loss_iou: 0.2772 d2.dn_loss_cls: 0.1276 d2.dn_loss_bbox: 0.2114 d2.dn_loss_iou: 0.2504 d3.dn_loss_cls: 0.1167 d3.dn_loss_bbox: 0.2012 d3.dn_loss_iou: 0.2420 d4.dn_loss_cls: 0.1118 d4.dn_loss_bbox: 0.1999 d4.dn_loss_iou: 0.2404 d1.loss_lmm_region: 0.1670 loss_lmm_image: 0.9068 2024/11/02 22:46:38 - mmengine - INFO - Iter(train) [ 36500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:22:09 time: 0.9722 data_time: 0.0171 memory: 19929 grad_norm: 23.5679 loss: 8.1331 loss_cls: 0.2546 loss_bbox: 0.0984 loss_iou: 0.2103 d0.loss_cls: 0.2667 d0.loss_bbox: 0.1206 d0.loss_iou: 0.2332 d1.loss_cls: 0.2599 d1.loss_bbox: 0.1089 d1.loss_iou: 0.2180 d2.loss_cls: 0.2621 d2.loss_bbox: 0.0954 d2.loss_iou: 0.2093 d3.loss_cls: 0.2581 d3.loss_bbox: 0.0984 d3.loss_iou: 0.2118 d4.loss_cls: 0.2538 d4.loss_bbox: 0.1009 d4.loss_iou: 0.2134 enc_loss_cls: 0.2894 enc_loss_bbox: 0.1279 enc_loss_iou: 0.2486 dn_loss_cls: 0.0750 dn_loss_bbox: 0.1439 dn_loss_iou: 0.1971 d0.dn_loss_cls: 0.1478 d0.dn_loss_bbox: 0.2844 d0.dn_loss_iou: 0.3360 d1.dn_loss_cls: 0.0981 d1.dn_loss_bbox: 0.1780 d1.dn_loss_iou: 0.2282 d2.dn_loss_cls: 0.0850 d2.dn_loss_bbox: 0.1525 d2.dn_loss_iou: 0.2044 d3.dn_loss_cls: 0.0787 d3.dn_loss_bbox: 0.1457 d3.dn_loss_iou: 0.1981 d4.dn_loss_cls: 0.0753 d4.dn_loss_bbox: 0.1439 d4.dn_loss_iou: 0.1969 d1.loss_lmm_region: 0.1585 loss_lmm_image: 0.8658 2024/11/02 22:48:16 - mmengine - INFO - Iter(train) [ 36600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:20:24 time: 0.9819 data_time: 0.0171 memory: 21044 grad_norm: 21.9403 loss: 9.8718 loss_cls: 0.2945 loss_bbox: 0.1533 loss_iou: 0.2630 d0.loss_cls: 0.3359 d0.loss_bbox: 0.1703 d0.loss_iou: 0.2845 d1.loss_cls: 0.3183 d1.loss_bbox: 0.1583 d1.loss_iou: 0.2692 d2.loss_cls: 0.3074 d2.loss_bbox: 0.1564 d2.loss_iou: 0.2662 d3.loss_cls: 0.2983 d3.loss_bbox: 0.1570 d3.loss_iou: 0.2641 d4.loss_cls: 0.2933 d4.loss_bbox: 0.1551 d4.loss_iou: 0.2633 enc_loss_cls: 0.3630 enc_loss_bbox: 0.1811 enc_loss_iou: 0.3051 dn_loss_cls: 0.0936 dn_loss_bbox: 0.1718 dn_loss_iou: 0.2305 d0.dn_loss_cls: 0.1856 d0.dn_loss_bbox: 0.3417 d0.dn_loss_iou: 0.3913 d1.dn_loss_cls: 0.1262 d1.dn_loss_bbox: 0.2087 d1.dn_loss_iou: 0.2686 d2.dn_loss_cls: 0.1098 d2.dn_loss_bbox: 0.1801 d2.dn_loss_iou: 0.2399 d3.dn_loss_cls: 0.0985 d3.dn_loss_bbox: 0.1733 d3.dn_loss_iou: 0.2323 d4.dn_loss_cls: 0.0949 d4.dn_loss_bbox: 0.1719 d4.dn_loss_iou: 0.2305 d1.loss_lmm_region: 0.1702 loss_lmm_image: 0.8950 2024/11/02 22:49:54 - mmengine - INFO - Iter(train) [ 36700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:18:39 time: 0.9807 data_time: 0.0172 memory: 21188 grad_norm: 21.4696 loss: 8.9540 loss_cls: 0.2885 loss_bbox: 0.1254 loss_iou: 0.2486 d0.loss_cls: 0.3229 d0.loss_bbox: 0.1429 d0.loss_iou: 0.2638 d1.loss_cls: 0.3093 d1.loss_bbox: 0.1300 d1.loss_iou: 0.2513 d2.loss_cls: 0.3038 d2.loss_bbox: 0.1231 d2.loss_iou: 0.2466 d3.loss_cls: 0.2969 d3.loss_bbox: 0.1250 d3.loss_iou: 0.2482 d4.loss_cls: 0.2909 d4.loss_bbox: 0.1251 d4.loss_iou: 0.2488 enc_loss_cls: 0.3398 enc_loss_bbox: 0.1525 enc_loss_iou: 0.2849 dn_loss_cls: 0.0865 dn_loss_bbox: 0.1483 dn_loss_iou: 0.2033 d0.dn_loss_cls: 0.1596 d0.dn_loss_bbox: 0.2855 d0.dn_loss_iou: 0.3374 d1.dn_loss_cls: 0.1113 d1.dn_loss_bbox: 0.1698 d1.dn_loss_iou: 0.2292 d2.dn_loss_cls: 0.0981 d2.dn_loss_bbox: 0.1533 d2.dn_loss_iou: 0.2093 d3.dn_loss_cls: 0.0895 d3.dn_loss_bbox: 0.1495 d3.dn_loss_iou: 0.2044 d4.dn_loss_cls: 0.0863 d4.dn_loss_bbox: 0.1483 d4.dn_loss_iou: 0.2033 d1.loss_lmm_region: 0.1652 loss_lmm_image: 0.8476 2024/11/02 22:51:32 - mmengine - INFO - Iter(train) [ 36800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:16:56 time: 0.9838 data_time: 0.0172 memory: 21045 grad_norm: 24.2589 loss: 9.9319 loss_cls: 0.3150 loss_bbox: 0.1418 loss_iou: 0.2481 d0.loss_cls: 0.3536 d0.loss_bbox: 0.1581 d0.loss_iou: 0.2688 d1.loss_cls: 0.3342 d1.loss_bbox: 0.1504 d1.loss_iou: 0.2542 d2.loss_cls: 0.3236 d2.loss_bbox: 0.1441 d2.loss_iou: 0.2495 d3.loss_cls: 0.3212 d3.loss_bbox: 0.1413 d3.loss_iou: 0.2481 d4.loss_cls: 0.3146 d4.loss_bbox: 0.1416 d4.loss_iou: 0.2494 enc_loss_cls: 0.3744 enc_loss_bbox: 0.1721 enc_loss_iou: 0.2897 dn_loss_cls: 0.0937 dn_loss_bbox: 0.1881 dn_loss_iou: 0.2221 d0.dn_loss_cls: 0.1862 d0.dn_loss_bbox: 0.3773 d0.dn_loss_iou: 0.3899 d1.dn_loss_cls: 0.1243 d1.dn_loss_bbox: 0.2319 d1.dn_loss_iou: 0.2605 d2.dn_loss_cls: 0.1081 d2.dn_loss_bbox: 0.2009 d2.dn_loss_iou: 0.2312 d3.dn_loss_cls: 0.0988 d3.dn_loss_bbox: 0.1898 d3.dn_loss_iou: 0.2235 d4.dn_loss_cls: 0.0941 d4.dn_loss_bbox: 0.1882 d4.dn_loss_iou: 0.2222 d1.loss_lmm_region: 0.1821 loss_lmm_image: 0.9252 2024/11/02 22:53:09 - mmengine - INFO - Iter(train) [ 36900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:15:11 time: 0.9737 data_time: 0.0171 memory: 20675 grad_norm: 21.2689 loss: 8.7302 loss_cls: 0.2756 loss_bbox: 0.1170 loss_iou: 0.2104 d0.loss_cls: 0.2778 d0.loss_bbox: 0.1289 d0.loss_iou: 0.2277 d1.loss_cls: 0.2627 d1.loss_bbox: 0.1240 d1.loss_iou: 0.2186 d2.loss_cls: 0.2662 d2.loss_bbox: 0.1187 d2.loss_iou: 0.2100 d3.loss_cls: 0.2686 d3.loss_bbox: 0.1168 d3.loss_iou: 0.2101 d4.loss_cls: 0.2725 d4.loss_bbox: 0.1172 d4.loss_iou: 0.2094 enc_loss_cls: 0.2926 enc_loss_bbox: 0.1412 enc_loss_iou: 0.2441 dn_loss_cls: 0.0991 dn_loss_bbox: 0.1701 dn_loss_iou: 0.2074 d0.dn_loss_cls: 0.1719 d0.dn_loss_bbox: 0.3319 d0.dn_loss_iou: 0.3555 d1.dn_loss_cls: 0.1285 d1.dn_loss_bbox: 0.2092 d1.dn_loss_iou: 0.2412 d2.dn_loss_cls: 0.1126 d2.dn_loss_bbox: 0.1807 d2.dn_loss_iou: 0.2161 d3.dn_loss_cls: 0.1044 d3.dn_loss_bbox: 0.1713 d3.dn_loss_iou: 0.2085 d4.dn_loss_cls: 0.1004 d4.dn_loss_bbox: 0.1700 d4.dn_loss_iou: 0.2074 d1.loss_lmm_region: 0.1437 loss_lmm_image: 0.8900 2024/11/02 22:54:47 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 22:54:47 - mmengine - INFO - Iter(train) [ 37000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:13:26 time: 0.9772 data_time: 0.0172 memory: 20894 grad_norm: 26.4616 loss: 10.3316 loss_cls: 0.3479 loss_bbox: 0.1428 loss_iou: 0.2691 d0.loss_cls: 0.3960 d0.loss_bbox: 0.1654 d0.loss_iou: 0.2935 d1.loss_cls: 0.3812 d1.loss_bbox: 0.1495 d1.loss_iou: 0.2743 d2.loss_cls: 0.3700 d2.loss_bbox: 0.1403 d2.loss_iou: 0.2656 d3.loss_cls: 0.3601 d3.loss_bbox: 0.1405 d3.loss_iou: 0.2669 d4.loss_cls: 0.3530 d4.loss_bbox: 0.1425 d4.loss_iou: 0.2672 enc_loss_cls: 0.4092 enc_loss_bbox: 0.1792 enc_loss_iou: 0.3164 dn_loss_cls: 0.1051 dn_loss_bbox: 0.1795 dn_loss_iou: 0.2333 d0.dn_loss_cls: 0.1881 d0.dn_loss_bbox: 0.3349 d0.dn_loss_iou: 0.3937 d1.dn_loss_cls: 0.1374 d1.dn_loss_bbox: 0.2139 d1.dn_loss_iou: 0.2692 d2.dn_loss_cls: 0.1211 d2.dn_loss_bbox: 0.1886 d2.dn_loss_iou: 0.2433 d3.dn_loss_cls: 0.1116 d3.dn_loss_bbox: 0.1809 d3.dn_loss_iou: 0.2354 d4.dn_loss_cls: 0.1072 d4.dn_loss_bbox: 0.1795 d4.dn_loss_iou: 0.2333 d1.loss_lmm_region: 0.1521 loss_lmm_image: 0.8929 2024/11/02 22:56:24 - mmengine - INFO - Iter(train) [ 37100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:11:40 time: 0.9773 data_time: 0.0172 memory: 21150 grad_norm: 22.1885 loss: 8.9327 loss_cls: 0.2522 loss_bbox: 0.1213 loss_iou: 0.2461 d0.loss_cls: 0.2738 d0.loss_bbox: 0.1404 d0.loss_iou: 0.2682 d1.loss_cls: 0.2605 d1.loss_bbox: 0.1298 d1.loss_iou: 0.2589 d2.loss_cls: 0.2526 d2.loss_bbox: 0.1291 d2.loss_iou: 0.2536 d3.loss_cls: 0.2535 d3.loss_bbox: 0.1234 d3.loss_iou: 0.2480 d4.loss_cls: 0.2531 d4.loss_bbox: 0.1213 d4.loss_iou: 0.2462 enc_loss_cls: 0.2871 enc_loss_bbox: 0.1549 enc_loss_iou: 0.2930 dn_loss_cls: 0.0767 dn_loss_bbox: 0.1671 dn_loss_iou: 0.2307 d0.dn_loss_cls: 0.1651 d0.dn_loss_bbox: 0.3250 d0.dn_loss_iou: 0.3807 d1.dn_loss_cls: 0.1069 d1.dn_loss_bbox: 0.1962 d1.dn_loss_iou: 0.2605 d2.dn_loss_cls: 0.0898 d2.dn_loss_bbox: 0.1751 d2.dn_loss_iou: 0.2382 d3.dn_loss_cls: 0.0821 d3.dn_loss_bbox: 0.1685 d3.dn_loss_iou: 0.2316 d4.dn_loss_cls: 0.0771 d4.dn_loss_bbox: 0.1670 d4.dn_loss_iou: 0.2306 d1.loss_lmm_region: 0.1480 loss_lmm_image: 0.8486 2024/11/02 22:58:02 - mmengine - INFO - Iter(train) [ 37200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:09:54 time: 0.9796 data_time: 0.0172 memory: 21254 grad_norm: 23.0729 loss: 8.5808 loss_cls: 0.2580 loss_bbox: 0.1233 loss_iou: 0.1955 d0.loss_cls: 0.2922 d0.loss_bbox: 0.1372 d0.loss_iou: 0.2106 d1.loss_cls: 0.2741 d1.loss_bbox: 0.1302 d1.loss_iou: 0.2005 d2.loss_cls: 0.2654 d2.loss_bbox: 0.1215 d2.loss_iou: 0.1944 d3.loss_cls: 0.2650 d3.loss_bbox: 0.1227 d3.loss_iou: 0.1943 d4.loss_cls: 0.2590 d4.loss_bbox: 0.1229 d4.loss_iou: 0.1961 enc_loss_cls: 0.3128 enc_loss_bbox: 0.1494 enc_loss_iou: 0.2277 dn_loss_cls: 0.1028 dn_loss_bbox: 0.1601 dn_loss_iou: 0.1960 d0.dn_loss_cls: 0.1798 d0.dn_loss_bbox: 0.3178 d0.dn_loss_iou: 0.3385 d1.dn_loss_cls: 0.1285 d1.dn_loss_bbox: 0.1963 d1.dn_loss_iou: 0.2285 d2.dn_loss_cls: 0.1123 d2.dn_loss_bbox: 0.1708 d2.dn_loss_iou: 0.2055 d3.dn_loss_cls: 0.1044 d3.dn_loss_bbox: 0.1608 d3.dn_loss_iou: 0.1972 d4.dn_loss_cls: 0.1030 d4.dn_loss_bbox: 0.1602 d4.dn_loss_iou: 0.1959 d1.loss_lmm_region: 0.1641 loss_lmm_image: 0.9052 2024/11/02 22:59:40 - mmengine - INFO - Iter(train) [ 37300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:08:10 time: 0.9764 data_time: 0.0174 memory: 21749 grad_norm: nan loss: 10.4741 loss_cls: 0.3518 loss_bbox: 0.1694 loss_iou: 0.2833 d0.loss_cls: 0.3867 d0.loss_bbox: 0.1925 d0.loss_iou: 0.3128 d1.loss_cls: 0.3768 d1.loss_bbox: 0.1709 d1.loss_iou: 0.2916 d2.loss_cls: 0.3645 d2.loss_bbox: 0.1654 d2.loss_iou: 0.2846 d3.loss_cls: 0.3624 d3.loss_bbox: 0.1661 d3.loss_iou: 0.2817 d4.loss_cls: 0.3541 d4.loss_bbox: 0.1697 d4.loss_iou: 0.2845 enc_loss_cls: 0.4065 enc_loss_bbox: 0.1996 enc_loss_iou: 0.3285 dn_loss_cls: 0.0836 dn_loss_bbox: 0.1764 dn_loss_iou: 0.2316 d0.dn_loss_cls: 0.1720 d0.dn_loss_bbox: 0.3225 d0.dn_loss_iou: 0.3822 d1.dn_loss_cls: 0.1165 d1.dn_loss_bbox: 0.2112 d1.dn_loss_iou: 0.2687 d2.dn_loss_cls: 0.1005 d2.dn_loss_bbox: 0.1858 d2.dn_loss_iou: 0.2421 d3.dn_loss_cls: 0.0899 d3.dn_loss_bbox: 0.1781 d3.dn_loss_iou: 0.2333 d4.dn_loss_cls: 0.0848 d4.dn_loss_bbox: 0.1765 d4.dn_loss_iou: 0.2316 d1.loss_lmm_region: 0.1824 loss_lmm_image: 0.9008 2024/11/02 23:01:18 - mmengine - INFO - Iter(train) [ 37400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:06:26 time: 0.9827 data_time: 0.0173 memory: 19840 grad_norm: 24.6762 loss: 9.2382 loss_cls: 0.2976 loss_bbox: 0.1414 loss_iou: 0.2821 d0.loss_cls: 0.3263 d0.loss_bbox: 0.1591 d0.loss_iou: 0.3112 d1.loss_cls: 0.3076 d1.loss_bbox: 0.1495 d1.loss_iou: 0.2939 d2.loss_cls: 0.3034 d2.loss_bbox: 0.1431 d2.loss_iou: 0.2852 d3.loss_cls: 0.3061 d3.loss_bbox: 0.1409 d3.loss_iou: 0.2810 d4.loss_cls: 0.2984 d4.loss_bbox: 0.1403 d4.loss_iou: 0.2811 enc_loss_cls: 0.3477 enc_loss_bbox: 0.1749 enc_loss_iou: 0.3322 dn_loss_cls: 0.0560 dn_loss_bbox: 0.1375 dn_loss_iou: 0.2083 d0.dn_loss_cls: 0.1422 d0.dn_loss_bbox: 0.2806 d0.dn_loss_iou: 0.3607 d1.dn_loss_cls: 0.0847 d1.dn_loss_bbox: 0.1694 d1.dn_loss_iou: 0.2416 d2.dn_loss_cls: 0.0688 d2.dn_loss_bbox: 0.1461 d2.dn_loss_iou: 0.2177 d3.dn_loss_cls: 0.0601 d3.dn_loss_bbox: 0.1386 d3.dn_loss_iou: 0.2094 d4.dn_loss_cls: 0.0563 d4.dn_loss_bbox: 0.1376 d4.dn_loss_iou: 0.2082 d1.loss_lmm_region: 0.1382 loss_lmm_image: 0.8733 2024/11/02 23:02:55 - mmengine - INFO - Iter(train) [ 37500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:04:41 time: 0.9854 data_time: 0.0175 memory: 20197 grad_norm: 21.3392 loss: 9.7801 loss_cls: 0.2811 loss_bbox: 0.1447 loss_iou: 0.2760 d0.loss_cls: 0.3134 d0.loss_bbox: 0.1595 d0.loss_iou: 0.2953 d1.loss_cls: 0.2955 d1.loss_bbox: 0.1476 d1.loss_iou: 0.2849 d2.loss_cls: 0.2925 d2.loss_bbox: 0.1424 d2.loss_iou: 0.2754 d3.loss_cls: 0.2854 d3.loss_bbox: 0.1454 d3.loss_iou: 0.2745 d4.loss_cls: 0.2815 d4.loss_bbox: 0.1445 d4.loss_iou: 0.2754 enc_loss_cls: 0.3272 enc_loss_bbox: 0.1715 enc_loss_iou: 0.3201 dn_loss_cls: 0.0860 dn_loss_bbox: 0.1792 dn_loss_iou: 0.2398 d0.dn_loss_cls: 0.1710 d0.dn_loss_bbox: 0.3622 d0.dn_loss_iou: 0.4033 d1.dn_loss_cls: 0.1143 d1.dn_loss_bbox: 0.2198 d1.dn_loss_iou: 0.2749 d2.dn_loss_cls: 0.0982 d2.dn_loss_bbox: 0.1907 d2.dn_loss_iou: 0.2491 d3.dn_loss_cls: 0.0894 d3.dn_loss_bbox: 0.1806 d3.dn_loss_iou: 0.2409 d4.dn_loss_cls: 0.0867 d4.dn_loss_bbox: 0.1793 d4.dn_loss_iou: 0.2396 d1.loss_lmm_region: 0.1247 loss_lmm_image: 0.9166 2024/11/02 23:04:32 - mmengine - INFO - Iter(train) [ 37600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:02:54 time: 0.9645 data_time: 0.0172 memory: 21593 grad_norm: 22.2881 loss: 8.5412 loss_cls: 0.2405 loss_bbox: 0.1162 loss_iou: 0.2110 d0.loss_cls: 0.2620 d0.loss_bbox: 0.1299 d0.loss_iou: 0.2282 d1.loss_cls: 0.2494 d1.loss_bbox: 0.1244 d1.loss_iou: 0.2161 d2.loss_cls: 0.2434 d2.loss_bbox: 0.1219 d2.loss_iou: 0.2129 d3.loss_cls: 0.2438 d3.loss_bbox: 0.1178 d3.loss_iou: 0.2092 d4.loss_cls: 0.2400 d4.loss_bbox: 0.1155 d4.loss_iou: 0.2093 enc_loss_cls: 0.2794 enc_loss_bbox: 0.1408 enc_loss_iou: 0.2425 dn_loss_cls: 0.1090 dn_loss_bbox: 0.1606 dn_loss_iou: 0.2118 d0.dn_loss_cls: 0.1872 d0.dn_loss_bbox: 0.3048 d0.dn_loss_iou: 0.3507 d1.dn_loss_cls: 0.1327 d1.dn_loss_bbox: 0.1861 d1.dn_loss_iou: 0.2382 d2.dn_loss_cls: 0.1218 d2.dn_loss_bbox: 0.1643 d2.dn_loss_iou: 0.2172 d3.dn_loss_cls: 0.1134 d3.dn_loss_bbox: 0.1607 d3.dn_loss_iou: 0.2129 d4.dn_loss_cls: 0.1111 d4.dn_loss_bbox: 0.1605 d4.dn_loss_iou: 0.2117 d1.loss_lmm_region: 0.1799 loss_lmm_image: 0.8521 2024/11/02 23:06:10 - mmengine - INFO - Iter(train) [ 37700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:01:08 time: 0.9719 data_time: 0.0173 memory: 21489 grad_norm: 24.5040 loss: 10.1252 loss_cls: 0.3246 loss_bbox: 0.1445 loss_iou: 0.2848 d0.loss_cls: 0.3575 d0.loss_bbox: 0.1623 d0.loss_iou: 0.3115 d1.loss_cls: 0.3448 d1.loss_bbox: 0.1497 d1.loss_iou: 0.2930 d2.loss_cls: 0.3343 d2.loss_bbox: 0.1464 d2.loss_iou: 0.2892 d3.loss_cls: 0.3271 d3.loss_bbox: 0.1484 d3.loss_iou: 0.2894 d4.loss_cls: 0.3256 d4.loss_bbox: 0.1449 d4.loss_iou: 0.2864 enc_loss_cls: 0.3848 enc_loss_bbox: 0.1726 enc_loss_iou: 0.3295 dn_loss_cls: 0.0949 dn_loss_bbox: 0.1852 dn_loss_iou: 0.2360 d0.dn_loss_cls: 0.1657 d0.dn_loss_bbox: 0.3328 d0.dn_loss_iou: 0.3841 d1.dn_loss_cls: 0.1220 d1.dn_loss_bbox: 0.2179 d1.dn_loss_iou: 0.2702 d2.dn_loss_cls: 0.1049 d2.dn_loss_bbox: 0.1925 d2.dn_loss_iou: 0.2448 d3.dn_loss_cls: 0.0982 d3.dn_loss_bbox: 0.1866 d3.dn_loss_iou: 0.2379 d4.dn_loss_cls: 0.0955 d4.dn_loss_bbox: 0.1853 d4.dn_loss_iou: 0.2358 d1.loss_lmm_region: 0.1491 loss_lmm_image: 0.8348 2024/11/02 23:07:47 - mmengine - INFO - Iter(train) [ 37800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:59:23 time: 0.9738 data_time: 0.0172 memory: 21213 grad_norm: 21.1199 loss: 10.2274 loss_cls: 0.3088 loss_bbox: 0.1502 loss_iou: 0.2662 d0.loss_cls: 0.3433 d0.loss_bbox: 0.1662 d0.loss_iou: 0.2881 d1.loss_cls: 0.3314 d1.loss_bbox: 0.1489 d1.loss_iou: 0.2725 d2.loss_cls: 0.3252 d2.loss_bbox: 0.1468 d2.loss_iou: 0.2639 d3.loss_cls: 0.3086 d3.loss_bbox: 0.1513 d3.loss_iou: 0.2680 d4.loss_cls: 0.3098 d4.loss_bbox: 0.1492 d4.loss_iou: 0.2655 enc_loss_cls: 0.3700 enc_loss_bbox: 0.1731 enc_loss_iou: 0.3044 dn_loss_cls: 0.0983 dn_loss_bbox: 0.1978 dn_loss_iou: 0.2511 d0.dn_loss_cls: 0.2017 d0.dn_loss_bbox: 0.3662 d0.dn_loss_iou: 0.4114 d1.dn_loss_cls: 0.1383 d1.dn_loss_bbox: 0.2392 d1.dn_loss_iou: 0.2883 d2.dn_loss_cls: 0.1148 d2.dn_loss_bbox: 0.2116 d2.dn_loss_iou: 0.2625 d3.dn_loss_cls: 0.1032 d3.dn_loss_bbox: 0.2000 d3.dn_loss_iou: 0.2528 d4.dn_loss_cls: 0.0991 d4.dn_loss_bbox: 0.1978 d4.dn_loss_iou: 0.2511 d1.loss_lmm_region: 0.1913 loss_lmm_image: 0.8395 2024/11/02 23:09:25 - mmengine - INFO - Iter(train) [ 37900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:57:39 time: 0.9783 data_time: 0.0173 memory: 21790 grad_norm: 23.0324 loss: 9.0729 loss_cls: 0.2863 loss_bbox: 0.1222 loss_iou: 0.2117 d0.loss_cls: 0.3214 d0.loss_bbox: 0.1376 d0.loss_iou: 0.2267 d1.loss_cls: 0.3021 d1.loss_bbox: 0.1255 d1.loss_iou: 0.2146 d2.loss_cls: 0.2932 d2.loss_bbox: 0.1250 d2.loss_iou: 0.2131 d3.loss_cls: 0.2905 d3.loss_bbox: 0.1235 d3.loss_iou: 0.2099 d4.loss_cls: 0.2895 d4.loss_bbox: 0.1214 d4.loss_iou: 0.2112 enc_loss_cls: 0.3340 enc_loss_bbox: 0.1567 enc_loss_iou: 0.2509 dn_loss_cls: 0.1053 dn_loss_bbox: 0.1647 dn_loss_iou: 0.2118 d0.dn_loss_cls: 0.1965 d0.dn_loss_bbox: 0.3330 d0.dn_loss_iou: 0.3685 d1.dn_loss_cls: 0.1383 d1.dn_loss_bbox: 0.2009 d1.dn_loss_iou: 0.2474 d2.dn_loss_cls: 0.1213 d2.dn_loss_bbox: 0.1728 d2.dn_loss_iou: 0.2209 d3.dn_loss_cls: 0.1121 d3.dn_loss_bbox: 0.1655 d3.dn_loss_iou: 0.2132 d4.dn_loss_cls: 0.1058 d4.dn_loss_bbox: 0.1648 d4.dn_loss_iou: 0.2117 d1.loss_lmm_region: 0.1581 loss_lmm_image: 0.8935 2024/11/02 23:11:02 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 23:11:02 - mmengine - INFO - Iter(train) [ 38000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:55:54 time: 0.9767 data_time: 0.0174 memory: 20205 grad_norm: 21.5100 loss: 11.0786 loss_cls: 0.3314 loss_bbox: 0.1766 loss_iou: 0.3192 d0.loss_cls: 0.3707 d0.loss_bbox: 0.1921 d0.loss_iou: 0.3385 d1.loss_cls: 0.3560 d1.loss_bbox: 0.1763 d1.loss_iou: 0.3210 d2.loss_cls: 0.3472 d2.loss_bbox: 0.1732 d2.loss_iou: 0.3152 d3.loss_cls: 0.3345 d3.loss_bbox: 0.1804 d3.loss_iou: 0.3210 d4.loss_cls: 0.3297 d4.loss_bbox: 0.1796 d4.loss_iou: 0.3217 enc_loss_cls: 0.3912 enc_loss_bbox: 0.2026 enc_loss_iou: 0.3598 dn_loss_cls: 0.1036 dn_loss_bbox: 0.2080 dn_loss_iou: 0.2516 d0.dn_loss_cls: 0.1945 d0.dn_loss_bbox: 0.3949 d0.dn_loss_iou: 0.4238 d1.dn_loss_cls: 0.1371 d1.dn_loss_bbox: 0.2441 d1.dn_loss_iou: 0.2876 d2.dn_loss_cls: 0.1166 d2.dn_loss_bbox: 0.2209 d2.dn_loss_iou: 0.2615 d3.dn_loss_cls: 0.1078 d3.dn_loss_bbox: 0.2100 d3.dn_loss_iou: 0.2536 d4.dn_loss_cls: 0.1025 d4.dn_loss_bbox: 0.2080 d4.dn_loss_iou: 0.2515 d1.loss_lmm_region: 0.1628 loss_lmm_image: 0.9003 2024/11/02 23:12:40 - mmengine - INFO - Iter(train) [ 38100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:54:09 time: 0.9721 data_time: 0.0173 memory: 20684 grad_norm: 21.1605 loss: 9.9003 loss_cls: 0.3355 loss_bbox: 0.1464 loss_iou: 0.2696 d0.loss_cls: 0.3679 d0.loss_bbox: 0.1658 d0.loss_iou: 0.2928 d1.loss_cls: 0.3559 d1.loss_bbox: 0.1521 d1.loss_iou: 0.2780 d2.loss_cls: 0.3428 d2.loss_bbox: 0.1499 d2.loss_iou: 0.2718 d3.loss_cls: 0.3418 d3.loss_bbox: 0.1463 d3.loss_iou: 0.2691 d4.loss_cls: 0.3352 d4.loss_bbox: 0.1461 d4.loss_iou: 0.2694 enc_loss_cls: 0.3847 enc_loss_bbox: 0.1772 enc_loss_iou: 0.3135 dn_loss_cls: 0.0820 dn_loss_bbox: 0.1769 dn_loss_iou: 0.2166 d0.dn_loss_cls: 0.1655 d0.dn_loss_bbox: 0.3278 d0.dn_loss_iou: 0.3626 d1.dn_loss_cls: 0.1092 d1.dn_loss_bbox: 0.2098 d1.dn_loss_iou: 0.2516 d2.dn_loss_cls: 0.0948 d2.dn_loss_bbox: 0.1831 d2.dn_loss_iou: 0.2252 d3.dn_loss_cls: 0.0858 d3.dn_loss_bbox: 0.1769 d3.dn_loss_iou: 0.2182 d4.dn_loss_cls: 0.0828 d4.dn_loss_bbox: 0.1771 d4.dn_loss_iou: 0.2167 d1.loss_lmm_region: 0.1385 loss_lmm_image: 0.8876 2024/11/02 23:14:17 - mmengine - INFO - Iter(train) [ 38200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:52:24 time: 0.9758 data_time: 0.0174 memory: 20433 grad_norm: 25.8616 loss: 8.8678 loss_cls: 0.2746 loss_bbox: 0.1259 loss_iou: 0.2321 d0.loss_cls: 0.3123 d0.loss_bbox: 0.1457 d0.loss_iou: 0.2506 d1.loss_cls: 0.2941 d1.loss_bbox: 0.1299 d1.loss_iou: 0.2376 d2.loss_cls: 0.2827 d2.loss_bbox: 0.1265 d2.loss_iou: 0.2339 d3.loss_cls: 0.2809 d3.loss_bbox: 0.1221 d3.loss_iou: 0.2305 d4.loss_cls: 0.2771 d4.loss_bbox: 0.1234 d4.loss_iou: 0.2317 enc_loss_cls: 0.3303 enc_loss_bbox: 0.1569 enc_loss_iou: 0.2709 dn_loss_cls: 0.0742 dn_loss_bbox: 0.1617 dn_loss_iou: 0.2031 d0.dn_loss_cls: 0.1567 d0.dn_loss_bbox: 0.3043 d0.dn_loss_iou: 0.3434 d1.dn_loss_cls: 0.1048 d1.dn_loss_bbox: 0.1945 d1.dn_loss_iou: 0.2360 d2.dn_loss_cls: 0.0888 d2.dn_loss_bbox: 0.1705 d2.dn_loss_iou: 0.2121 d3.dn_loss_cls: 0.0777 d3.dn_loss_bbox: 0.1628 d3.dn_loss_iou: 0.2042 d4.dn_loss_cls: 0.0751 d4.dn_loss_bbox: 0.1617 d4.dn_loss_iou: 0.2029 d1.loss_lmm_region: 0.1820 loss_lmm_image: 0.8818 2024/11/02 23:15:56 - mmengine - INFO - Iter(train) [ 38300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:50:42 time: 0.9853 data_time: 0.0174 memory: 21487 grad_norm: 23.5858 loss: 10.2520 loss_cls: 0.3034 loss_bbox: 0.1533 loss_iou: 0.3079 d0.loss_cls: 0.3497 d0.loss_bbox: 0.1609 d0.loss_iou: 0.3233 d1.loss_cls: 0.3260 d1.loss_bbox: 0.1509 d1.loss_iou: 0.3165 d2.loss_cls: 0.3167 d2.loss_bbox: 0.1480 d2.loss_iou: 0.3098 d3.loss_cls: 0.3100 d3.loss_bbox: 0.1504 d3.loss_iou: 0.3069 d4.loss_cls: 0.3064 d4.loss_bbox: 0.1495 d4.loss_iou: 0.3077 enc_loss_cls: 0.3627 enc_loss_bbox: 0.1757 enc_loss_iou: 0.3477 dn_loss_cls: 0.0948 dn_loss_bbox: 0.1728 dn_loss_iou: 0.2453 d0.dn_loss_cls: 0.1748 d0.dn_loss_bbox: 0.3284 d0.dn_loss_iou: 0.4068 d1.dn_loss_cls: 0.1229 d1.dn_loss_bbox: 0.2082 d1.dn_loss_iou: 0.2838 d2.dn_loss_cls: 0.1063 d2.dn_loss_bbox: 0.1804 d2.dn_loss_iou: 0.2544 d3.dn_loss_cls: 0.0996 d3.dn_loss_bbox: 0.1739 d3.dn_loss_iou: 0.2465 d4.dn_loss_cls: 0.0960 d4.dn_loss_bbox: 0.1726 d4.dn_loss_iou: 0.2451 d1.loss_lmm_region: 0.1697 loss_lmm_image: 0.8858 2024/11/02 23:17:34 - mmengine - INFO - Iter(train) [ 38400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:48:58 time: 0.9756 data_time: 0.0174 memory: 20016 grad_norm: 21.8113 loss: 9.9759 loss_cls: 0.3256 loss_bbox: 0.1528 loss_iou: 0.3033 d0.loss_cls: 0.3645 d0.loss_bbox: 0.1646 d0.loss_iou: 0.3206 d1.loss_cls: 0.3461 d1.loss_bbox: 0.1550 d1.loss_iou: 0.3069 d2.loss_cls: 0.3385 d2.loss_bbox: 0.1509 d2.loss_iou: 0.3044 d3.loss_cls: 0.3351 d3.loss_bbox: 0.1486 d3.loss_iou: 0.3026 d4.loss_cls: 0.3281 d4.loss_bbox: 0.1518 d4.loss_iou: 0.3019 enc_loss_cls: 0.3901 enc_loss_bbox: 0.1759 enc_loss_iou: 0.3466 dn_loss_cls: 0.0775 dn_loss_bbox: 0.1604 dn_loss_iou: 0.2218 d0.dn_loss_cls: 0.1582 d0.dn_loss_bbox: 0.3051 d0.dn_loss_iou: 0.3676 d1.dn_loss_cls: 0.1049 d1.dn_loss_bbox: 0.1931 d1.dn_loss_iou: 0.2574 d2.dn_loss_cls: 0.0886 d2.dn_loss_bbox: 0.1692 d2.dn_loss_iou: 0.2312 d3.dn_loss_cls: 0.0799 d3.dn_loss_bbox: 0.1617 d3.dn_loss_iou: 0.2234 d4.dn_loss_cls: 0.0780 d4.dn_loss_bbox: 0.1604 d4.dn_loss_iou: 0.2218 d1.loss_lmm_region: 0.1491 loss_lmm_image: 0.8527 2024/11/02 23:19:12 - mmengine - INFO - Iter(train) [ 38500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:47:14 time: 0.9802 data_time: 0.0176 memory: 20253 grad_norm: 24.2318 loss: 10.3554 loss_cls: 0.3039 loss_bbox: 0.1522 loss_iou: 0.2861 d0.loss_cls: 0.3442 d0.loss_bbox: 0.1611 d0.loss_iou: 0.2995 d1.loss_cls: 0.3305 d1.loss_bbox: 0.1503 d1.loss_iou: 0.2939 d2.loss_cls: 0.3181 d2.loss_bbox: 0.1513 d2.loss_iou: 0.2863 d3.loss_cls: 0.3133 d3.loss_bbox: 0.1472 d3.loss_iou: 0.2863 d4.loss_cls: 0.3062 d4.loss_bbox: 0.1508 d4.loss_iou: 0.2853 enc_loss_cls: 0.3579 enc_loss_bbox: 0.1787 enc_loss_iou: 0.3257 dn_loss_cls: 0.1287 dn_loss_bbox: 0.1809 dn_loss_iou: 0.2382 d0.dn_loss_cls: 0.2174 d0.dn_loss_bbox: 0.3544 d0.dn_loss_iou: 0.3988 d1.dn_loss_cls: 0.1580 d1.dn_loss_bbox: 0.2218 d1.dn_loss_iou: 0.2763 d2.dn_loss_cls: 0.1438 d2.dn_loss_bbox: 0.1904 d2.dn_loss_iou: 0.2489 d3.dn_loss_cls: 0.1308 d3.dn_loss_bbox: 0.1825 d3.dn_loss_iou: 0.2402 d4.dn_loss_cls: 0.1285 d4.dn_loss_bbox: 0.1811 d4.dn_loss_iou: 0.2382 d1.loss_lmm_region: 0.1893 loss_lmm_image: 0.8779 2024/11/02 23:20:49 - mmengine - INFO - Iter(train) [ 38600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:45:28 time: 0.9760 data_time: 0.0174 memory: 20853 grad_norm: 26.8690 loss: 10.3249 loss_cls: 0.3064 loss_bbox: 0.1478 loss_iou: 0.2931 d0.loss_cls: 0.3417 d0.loss_bbox: 0.1691 d0.loss_iou: 0.3179 d1.loss_cls: 0.3244 d1.loss_bbox: 0.1557 d1.loss_iou: 0.3039 d2.loss_cls: 0.3186 d2.loss_bbox: 0.1467 d2.loss_iou: 0.2927 d3.loss_cls: 0.3112 d3.loss_bbox: 0.1462 d3.loss_iou: 0.2923 d4.loss_cls: 0.3073 d4.loss_bbox: 0.1488 d4.loss_iou: 0.2940 enc_loss_cls: 0.3606 enc_loss_bbox: 0.1812 enc_loss_iou: 0.3419 dn_loss_cls: 0.0973 dn_loss_bbox: 0.1887 dn_loss_iou: 0.2470 d0.dn_loss_cls: 0.1941 d0.dn_loss_bbox: 0.3526 d0.dn_loss_iou: 0.4052 d1.dn_loss_cls: 0.1291 d1.dn_loss_bbox: 0.2206 d1.dn_loss_iou: 0.2821 d2.dn_loss_cls: 0.1108 d2.dn_loss_bbox: 0.1953 d2.dn_loss_iou: 0.2558 d3.dn_loss_cls: 0.1005 d3.dn_loss_bbox: 0.1887 d3.dn_loss_iou: 0.2486 d4.dn_loss_cls: 0.0976 d4.dn_loss_bbox: 0.1888 d4.dn_loss_iou: 0.2471 d1.loss_lmm_region: 0.1803 loss_lmm_image: 0.8931 2024/11/02 23:22:27 - mmengine - INFO - Iter(train) [ 38700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:43:44 time: 0.9798 data_time: 0.0175 memory: 21442 grad_norm: nan loss: 10.9764 loss_cls: 0.3782 loss_bbox: 0.1798 loss_iou: 0.3391 d0.loss_cls: 0.4252 d0.loss_bbox: 0.1857 d0.loss_iou: 0.3543 d1.loss_cls: 0.3943 d1.loss_bbox: 0.1809 d1.loss_iou: 0.3407 d2.loss_cls: 0.3870 d2.loss_bbox: 0.1759 d2.loss_iou: 0.3390 d3.loss_cls: 0.3810 d3.loss_bbox: 0.1762 d3.loss_iou: 0.3358 d4.loss_cls: 0.3779 d4.loss_bbox: 0.1797 d4.loss_iou: 0.3384 enc_loss_cls: 0.4467 enc_loss_bbox: 0.1973 enc_loss_iou: 0.3733 dn_loss_cls: 0.0944 dn_loss_bbox: 0.1504 dn_loss_iou: 0.2364 d0.dn_loss_cls: 0.1815 d0.dn_loss_bbox: 0.2881 d0.dn_loss_iou: 0.3883 d1.dn_loss_cls: 0.1312 d1.dn_loss_bbox: 0.1816 d1.dn_loss_iou: 0.2708 d2.dn_loss_cls: 0.1108 d2.dn_loss_bbox: 0.1606 d2.dn_loss_iou: 0.2460 d3.dn_loss_cls: 0.1016 d3.dn_loss_bbox: 0.1521 d3.dn_loss_iou: 0.2378 d4.dn_loss_cls: 0.0954 d4.dn_loss_bbox: 0.1504 d4.dn_loss_iou: 0.2363 d1.loss_lmm_region: 0.1629 loss_lmm_image: 0.9132 2024/11/02 23:24:04 - mmengine - INFO - Iter(train) [ 38800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:42:00 time: 0.9824 data_time: 0.0174 memory: 20602 grad_norm: 23.3157 loss: 9.8880 loss_cls: 0.2984 loss_bbox: 0.1558 loss_iou: 0.2631 d0.loss_cls: 0.3415 d0.loss_bbox: 0.1723 d0.loss_iou: 0.2875 d1.loss_cls: 0.3163 d1.loss_bbox: 0.1643 d1.loss_iou: 0.2703 d2.loss_cls: 0.3112 d2.loss_bbox: 0.1571 d2.loss_iou: 0.2646 d3.loss_cls: 0.3038 d3.loss_bbox: 0.1576 d3.loss_iou: 0.2638 d4.loss_cls: 0.2978 d4.loss_bbox: 0.1576 d4.loss_iou: 0.2637 enc_loss_cls: 0.3642 enc_loss_bbox: 0.1832 enc_loss_iou: 0.2991 dn_loss_cls: 0.0911 dn_loss_bbox: 0.1776 dn_loss_iou: 0.2275 d0.dn_loss_cls: 0.2001 d0.dn_loss_bbox: 0.3315 d0.dn_loss_iou: 0.3808 d1.dn_loss_cls: 0.1307 d1.dn_loss_bbox: 0.2069 d1.dn_loss_iou: 0.2605 d2.dn_loss_cls: 0.1116 d2.dn_loss_bbox: 0.1816 d2.dn_loss_iou: 0.2335 d3.dn_loss_cls: 0.1006 d3.dn_loss_bbox: 0.1776 d3.dn_loss_iou: 0.2283 d4.dn_loss_cls: 0.0935 d4.dn_loss_bbox: 0.1775 d4.dn_loss_iou: 0.2273 d1.loss_lmm_region: 0.1854 loss_lmm_image: 0.8711 2024/11/02 23:25:43 - mmengine - INFO - Iter(train) [ 38900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:40:17 time: 0.9816 data_time: 0.0176 memory: 21344 grad_norm: 23.4980 loss: 9.5953 loss_cls: 0.2940 loss_bbox: 0.1401 loss_iou: 0.2577 d0.loss_cls: 0.3309 d0.loss_bbox: 0.1491 d0.loss_iou: 0.2738 d1.loss_cls: 0.3150 d1.loss_bbox: 0.1410 d1.loss_iou: 0.2611 d2.loss_cls: 0.2991 d2.loss_bbox: 0.1444 d2.loss_iou: 0.2605 d3.loss_cls: 0.3016 d3.loss_bbox: 0.1405 d3.loss_iou: 0.2583 d4.loss_cls: 0.2949 d4.loss_bbox: 0.1401 d4.loss_iou: 0.2580 enc_loss_cls: 0.3441 enc_loss_bbox: 0.1679 enc_loss_iou: 0.2983 dn_loss_cls: 0.0932 dn_loss_bbox: 0.1750 dn_loss_iou: 0.2255 d0.dn_loss_cls: 0.1786 d0.dn_loss_bbox: 0.3375 d0.dn_loss_iou: 0.3761 d1.dn_loss_cls: 0.1198 d1.dn_loss_bbox: 0.2125 d1.dn_loss_iou: 0.2604 d2.dn_loss_cls: 0.1046 d2.dn_loss_bbox: 0.1857 d2.dn_loss_iou: 0.2346 d3.dn_loss_cls: 0.0978 d3.dn_loss_bbox: 0.1767 d3.dn_loss_iou: 0.2265 d4.dn_loss_cls: 0.0940 d4.dn_loss_bbox: 0.1750 d4.dn_loss_iou: 0.2254 d1.loss_lmm_region: 0.1618 loss_lmm_image: 0.8645 2024/11/02 23:27:21 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 23:27:21 - mmengine - INFO - Iter(train) [ 39000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:38:36 time: 0.9868 data_time: 0.0174 memory: 21159 grad_norm: 20.3115 loss: 9.0406 loss_cls: 0.2796 loss_bbox: 0.1274 loss_iou: 0.2347 d0.loss_cls: 0.3148 d0.loss_bbox: 0.1430 d0.loss_iou: 0.2528 d1.loss_cls: 0.2974 d1.loss_bbox: 0.1331 d1.loss_iou: 0.2425 d2.loss_cls: 0.2869 d2.loss_bbox: 0.1296 d2.loss_iou: 0.2380 d3.loss_cls: 0.2836 d3.loss_bbox: 0.1284 d3.loss_iou: 0.2351 d4.loss_cls: 0.2810 d4.loss_bbox: 0.1268 d4.loss_iou: 0.2344 enc_loss_cls: 0.3306 enc_loss_bbox: 0.1550 enc_loss_iou: 0.2716 dn_loss_cls: 0.0941 dn_loss_bbox: 0.1502 dn_loss_iou: 0.2081 d0.dn_loss_cls: 0.1818 d0.dn_loss_bbox: 0.3194 d0.dn_loss_iou: 0.3648 d1.dn_loss_cls: 0.1273 d1.dn_loss_bbox: 0.1885 d1.dn_loss_iou: 0.2435 d2.dn_loss_cls: 0.1098 d2.dn_loss_bbox: 0.1608 d2.dn_loss_iou: 0.2182 d3.dn_loss_cls: 0.0999 d3.dn_loss_bbox: 0.1522 d3.dn_loss_iou: 0.2099 d4.dn_loss_cls: 0.0946 d4.dn_loss_bbox: 0.1502 d4.dn_loss_iou: 0.2081 d1.loss_lmm_region: 0.1538 loss_lmm_image: 0.8791 2024/11/02 23:28:59 - mmengine - INFO - Iter(train) [ 39100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:36:52 time: 0.9909 data_time: 0.0175 memory: 20722 grad_norm: 27.0261 loss: 9.0481 loss_cls: 0.2774 loss_bbox: 0.1274 loss_iou: 0.2461 d0.loss_cls: 0.3154 d0.loss_bbox: 0.1373 d0.loss_iou: 0.2594 d1.loss_cls: 0.2983 d1.loss_bbox: 0.1298 d1.loss_iou: 0.2495 d2.loss_cls: 0.2873 d2.loss_bbox: 0.1288 d2.loss_iou: 0.2470 d3.loss_cls: 0.2796 d3.loss_bbox: 0.1293 d3.loss_iou: 0.2478 d4.loss_cls: 0.2789 d4.loss_bbox: 0.1272 d4.loss_iou: 0.2461 enc_loss_cls: 0.3300 enc_loss_bbox: 0.1489 enc_loss_iou: 0.2821 dn_loss_cls: 0.1004 dn_loss_bbox: 0.1528 dn_loss_iou: 0.2005 d0.dn_loss_cls: 0.1832 d0.dn_loss_bbox: 0.2856 d0.dn_loss_iou: 0.3396 d1.dn_loss_cls: 0.1301 d1.dn_loss_bbox: 0.1795 d1.dn_loss_iou: 0.2325 d2.dn_loss_cls: 0.1100 d2.dn_loss_bbox: 0.1603 d2.dn_loss_iou: 0.2100 d3.dn_loss_cls: 0.1051 d3.dn_loss_bbox: 0.1534 d3.dn_loss_iou: 0.2021 d4.dn_loss_cls: 0.1013 d4.dn_loss_bbox: 0.1527 d4.dn_loss_iou: 0.2005 d1.loss_lmm_region: 0.1592 loss_lmm_image: 0.9156 2024/11/02 23:30:37 - mmengine - INFO - Iter(train) [ 39200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:35:09 time: 0.9824 data_time: 0.0175 memory: 21132 grad_norm: 22.7010 loss: 9.8552 loss_cls: 0.2992 loss_bbox: 0.1497 loss_iou: 0.2741 d0.loss_cls: 0.3422 d0.loss_bbox: 0.1654 d0.loss_iou: 0.2926 d1.loss_cls: 0.3200 d1.loss_bbox: 0.1561 d1.loss_iou: 0.2860 d2.loss_cls: 0.3116 d2.loss_bbox: 0.1517 d2.loss_iou: 0.2760 d3.loss_cls: 0.3033 d3.loss_bbox: 0.1533 d3.loss_iou: 0.2774 d4.loss_cls: 0.3005 d4.loss_bbox: 0.1481 d4.loss_iou: 0.2740 enc_loss_cls: 0.3627 enc_loss_bbox: 0.1811 enc_loss_iou: 0.3141 dn_loss_cls: 0.0786 dn_loss_bbox: 0.1854 dn_loss_iou: 0.2315 d0.dn_loss_cls: 0.1682 d0.dn_loss_bbox: 0.3535 d0.dn_loss_iou: 0.3811 d1.dn_loss_cls: 0.1121 d1.dn_loss_bbox: 0.2209 d1.dn_loss_iou: 0.2635 d2.dn_loss_cls: 0.0924 d2.dn_loss_bbox: 0.1914 d2.dn_loss_iou: 0.2386 d3.dn_loss_cls: 0.0840 d3.dn_loss_bbox: 0.1857 d3.dn_loss_iou: 0.2328 d4.dn_loss_cls: 0.0800 d4.dn_loss_bbox: 0.1855 d4.dn_loss_iou: 0.2315 d1.loss_lmm_region: 0.1486 loss_lmm_image: 0.8510 2024/11/02 23:32:15 - mmengine - INFO - Iter(train) [ 39300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:33:26 time: 0.9878 data_time: 0.0174 memory: 21512 grad_norm: 20.7259 loss: 9.4889 loss_cls: 0.3076 loss_bbox: 0.1271 loss_iou: 0.2416 d0.loss_cls: 0.3452 d0.loss_bbox: 0.1399 d0.loss_iou: 0.2576 d1.loss_cls: 0.3344 d1.loss_bbox: 0.1288 d1.loss_iou: 0.2465 d2.loss_cls: 0.3224 d2.loss_bbox: 0.1283 d2.loss_iou: 0.2432 d3.loss_cls: 0.3158 d3.loss_bbox: 0.1270 d3.loss_iou: 0.2410 d4.loss_cls: 0.3099 d4.loss_bbox: 0.1265 d4.loss_iou: 0.2403 enc_loss_cls: 0.3511 enc_loss_bbox: 0.1576 enc_loss_iou: 0.2778 dn_loss_cls: 0.0970 dn_loss_bbox: 0.1753 dn_loss_iou: 0.2173 d0.dn_loss_cls: 0.1854 d0.dn_loss_bbox: 0.3374 d0.dn_loss_iou: 0.3706 d1.dn_loss_cls: 0.1309 d1.dn_loss_bbox: 0.2142 d1.dn_loss_iou: 0.2518 d2.dn_loss_cls: 0.1125 d2.dn_loss_bbox: 0.1880 d2.dn_loss_iou: 0.2276 d3.dn_loss_cls: 0.1032 d3.dn_loss_bbox: 0.1771 d3.dn_loss_iou: 0.2187 d4.dn_loss_cls: 0.0980 d4.dn_loss_bbox: 0.1753 d4.dn_loss_iou: 0.2171 d1.loss_lmm_region: 0.1456 loss_lmm_image: 0.8765 2024/11/02 23:33:53 - mmengine - INFO - Iter(train) [ 39400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:31:42 time: 0.9823 data_time: 0.0174 memory: 21657 grad_norm: 21.5247 loss: 9.4554 loss_cls: 0.3214 loss_bbox: 0.1283 loss_iou: 0.2604 d0.loss_cls: 0.3572 d0.loss_bbox: 0.1437 d0.loss_iou: 0.2850 d1.loss_cls: 0.3497 d1.loss_bbox: 0.1324 d1.loss_iou: 0.2654 d2.loss_cls: 0.3344 d2.loss_bbox: 0.1297 d2.loss_iou: 0.2641 d3.loss_cls: 0.3305 d3.loss_bbox: 0.1283 d3.loss_iou: 0.2609 d4.loss_cls: 0.3243 d4.loss_bbox: 0.1267 d4.loss_iou: 0.2597 enc_loss_cls: 0.3749 enc_loss_bbox: 0.1622 enc_loss_iou: 0.3072 dn_loss_cls: 0.0993 dn_loss_bbox: 0.1453 dn_loss_iou: 0.2065 d0.dn_loss_cls: 0.1750 d0.dn_loss_bbox: 0.2922 d0.dn_loss_iou: 0.3528 d1.dn_loss_cls: 0.1281 d1.dn_loss_bbox: 0.1777 d1.dn_loss_iou: 0.2399 d2.dn_loss_cls: 0.1102 d2.dn_loss_bbox: 0.1532 d2.dn_loss_iou: 0.2155 d3.dn_loss_cls: 0.1014 d3.dn_loss_bbox: 0.1469 d3.dn_loss_iou: 0.2083 d4.dn_loss_cls: 0.0987 d4.dn_loss_bbox: 0.1454 d4.dn_loss_iou: 0.2065 d1.loss_lmm_region: 0.1475 loss_lmm_image: 0.8586 2024/11/02 23:35:31 - mmengine - INFO - Iter(train) [ 39500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:29:58 time: 0.9682 data_time: 0.0178 memory: 21101 grad_norm: 25.2269 loss: 10.6379 loss_cls: 0.3169 loss_bbox: 0.1625 loss_iou: 0.2654 d0.loss_cls: 0.3579 d0.loss_bbox: 0.1850 d0.loss_iou: 0.2874 d1.loss_cls: 0.3435 d1.loss_bbox: 0.1706 d1.loss_iou: 0.2710 d2.loss_cls: 0.3259 d2.loss_bbox: 0.1695 d2.loss_iou: 0.2710 d3.loss_cls: 0.3207 d3.loss_bbox: 0.1622 d3.loss_iou: 0.2659 d4.loss_cls: 0.3176 d4.loss_bbox: 0.1610 d4.loss_iou: 0.2654 enc_loss_cls: 0.3746 enc_loss_bbox: 0.2039 enc_loss_iou: 0.3125 dn_loss_cls: 0.0999 dn_loss_bbox: 0.2224 dn_loss_iou: 0.2569 d0.dn_loss_cls: 0.2078 d0.dn_loss_bbox: 0.4124 d0.dn_loss_iou: 0.4278 d1.dn_loss_cls: 0.1463 d1.dn_loss_bbox: 0.2659 d1.dn_loss_iou: 0.2957 d2.dn_loss_cls: 0.1252 d2.dn_loss_bbox: 0.2352 d2.dn_loss_iou: 0.2672 d3.dn_loss_cls: 0.1062 d3.dn_loss_bbox: 0.2232 d3.dn_loss_iou: 0.2584 d4.dn_loss_cls: 0.1013 d4.dn_loss_bbox: 0.2222 d4.dn_loss_iou: 0.2569 d1.loss_lmm_region: 0.1598 loss_lmm_image: 0.8369 2024/11/02 23:37:10 - mmengine - INFO - Iter(train) [ 39600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:28:18 time: 0.9935 data_time: 0.0175 memory: 21463 grad_norm: 24.3137 loss: 11.4064 loss_cls: 0.3455 loss_bbox: 0.1886 loss_iou: 0.2978 d0.loss_cls: 0.3887 d0.loss_bbox: 0.1960 d0.loss_iou: 0.3155 d1.loss_cls: 0.3681 d1.loss_bbox: 0.1893 d1.loss_iou: 0.3030 d2.loss_cls: 0.3626 d2.loss_bbox: 0.1862 d2.loss_iou: 0.2979 d3.loss_cls: 0.3530 d3.loss_bbox: 0.1874 d3.loss_iou: 0.2975 d4.loss_cls: 0.3478 d4.loss_bbox: 0.1888 d4.loss_iou: 0.2984 enc_loss_cls: 0.4041 enc_loss_bbox: 0.2141 enc_loss_iou: 0.3361 dn_loss_cls: 0.1290 dn_loss_bbox: 0.2164 dn_loss_iou: 0.2742 d0.dn_loss_cls: 0.2172 d0.dn_loss_bbox: 0.4028 d0.dn_loss_iou: 0.4511 d1.dn_loss_cls: 0.1595 d1.dn_loss_bbox: 0.2616 d1.dn_loss_iou: 0.3161 d2.dn_loss_cls: 0.1413 d2.dn_loss_bbox: 0.2243 d2.dn_loss_iou: 0.2845 d3.dn_loss_cls: 0.1331 d3.dn_loss_bbox: 0.2182 d3.dn_loss_iou: 0.2758 d4.dn_loss_cls: 0.1305 d4.dn_loss_bbox: 0.2162 d4.dn_loss_iou: 0.2742 d1.loss_lmm_region: 0.1740 loss_lmm_image: 0.8401 2024/11/02 23:38:48 - mmengine - INFO - Iter(train) [ 39700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:26:34 time: 0.9754 data_time: 0.0174 memory: 21229 grad_norm: 20.9058 loss: 10.5947 loss_cls: 0.3333 loss_bbox: 0.1826 loss_iou: 0.3032 d0.loss_cls: 0.3740 d0.loss_bbox: 0.1887 d0.loss_iou: 0.3154 d1.loss_cls: 0.3532 d1.loss_bbox: 0.1911 d1.loss_iou: 0.3097 d2.loss_cls: 0.3473 d2.loss_bbox: 0.1809 d2.loss_iou: 0.3039 d3.loss_cls: 0.3438 d3.loss_bbox: 0.1792 d3.loss_iou: 0.3010 d4.loss_cls: 0.3364 d4.loss_bbox: 0.1819 d4.loss_iou: 0.3010 enc_loss_cls: 0.3895 enc_loss_bbox: 0.2066 enc_loss_iou: 0.3376 dn_loss_cls: 0.1054 dn_loss_bbox: 0.1862 dn_loss_iou: 0.2413 d0.dn_loss_cls: 0.1813 d0.dn_loss_bbox: 0.3297 d0.dn_loss_iou: 0.3887 d1.dn_loss_cls: 0.1289 d1.dn_loss_bbox: 0.2188 d1.dn_loss_iou: 0.2736 d2.dn_loss_cls: 0.1155 d2.dn_loss_bbox: 0.1947 d2.dn_loss_iou: 0.2499 d3.dn_loss_cls: 0.1114 d3.dn_loss_bbox: 0.1883 d3.dn_loss_iou: 0.2432 d4.dn_loss_cls: 0.1075 d4.dn_loss_bbox: 0.1862 d4.dn_loss_iou: 0.2412 d1.loss_lmm_region: 0.1562 loss_lmm_image: 0.7864 2024/11/02 23:40:26 - mmengine - INFO - Iter(train) [ 39800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:24:52 time: 0.9921 data_time: 0.0176 memory: 21091 grad_norm: 24.1066 loss: 9.8001 loss_cls: 0.3241 loss_bbox: 0.1439 loss_iou: 0.2752 d0.loss_cls: 0.3707 d0.loss_bbox: 0.1618 d0.loss_iou: 0.2980 d1.loss_cls: 0.3504 d1.loss_bbox: 0.1463 d1.loss_iou: 0.2803 d2.loss_cls: 0.3329 d2.loss_bbox: 0.1447 d2.loss_iou: 0.2802 d3.loss_cls: 0.3310 d3.loss_bbox: 0.1421 d3.loss_iou: 0.2739 d4.loss_cls: 0.3249 d4.loss_bbox: 0.1423 d4.loss_iou: 0.2749 enc_loss_cls: 0.3900 enc_loss_bbox: 0.1767 enc_loss_iou: 0.3218 dn_loss_cls: 0.0850 dn_loss_bbox: 0.1616 dn_loss_iou: 0.2143 d0.dn_loss_cls: 0.1763 d0.dn_loss_bbox: 0.3213 d0.dn_loss_iou: 0.3677 d1.dn_loss_cls: 0.1146 d1.dn_loss_bbox: 0.1972 d1.dn_loss_iou: 0.2501 d2.dn_loss_cls: 0.0968 d2.dn_loss_bbox: 0.1710 d2.dn_loss_iou: 0.2237 d3.dn_loss_cls: 0.0873 d3.dn_loss_bbox: 0.1625 d3.dn_loss_iou: 0.2158 d4.dn_loss_cls: 0.0854 d4.dn_loss_bbox: 0.1615 d4.dn_loss_iou: 0.2143 d1.loss_lmm_region: 0.1548 loss_lmm_image: 0.8529 2024/11/02 23:42:04 - mmengine - INFO - Iter(train) [ 39900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:23:09 time: 0.9708 data_time: 0.0175 memory: 20396 grad_norm: 21.3604 loss: 10.6381 loss_cls: 0.3367 loss_bbox: 0.1676 loss_iou: 0.2864 d0.loss_cls: 0.3635 d0.loss_bbox: 0.1925 d0.loss_iou: 0.3110 d1.loss_cls: 0.3548 d1.loss_bbox: 0.1774 d1.loss_iou: 0.2936 d2.loss_cls: 0.3493 d2.loss_bbox: 0.1729 d2.loss_iou: 0.2904 d3.loss_cls: 0.3432 d3.loss_bbox: 0.1692 d3.loss_iou: 0.2866 d4.loss_cls: 0.3367 d4.loss_bbox: 0.1689 d4.loss_iou: 0.2883 enc_loss_cls: 0.3956 enc_loss_bbox: 0.2080 enc_loss_iou: 0.3332 dn_loss_cls: 0.0944 dn_loss_bbox: 0.1945 dn_loss_iou: 0.2362 d0.dn_loss_cls: 0.1841 d0.dn_loss_bbox: 0.3832 d0.dn_loss_iou: 0.4083 d1.dn_loss_cls: 0.1275 d1.dn_loss_bbox: 0.2390 d1.dn_loss_iou: 0.2757 d2.dn_loss_cls: 0.1094 d2.dn_loss_bbox: 0.2096 d2.dn_loss_iou: 0.2489 d3.dn_loss_cls: 0.0989 d3.dn_loss_bbox: 0.1980 d3.dn_loss_iou: 0.2392 d4.dn_loss_cls: 0.0948 d4.dn_loss_bbox: 0.1947 d4.dn_loss_iou: 0.2365 d1.loss_lmm_region: 0.1821 loss_lmm_image: 0.8571 2024/11/02 23:43:43 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/02 23:43:43 - mmengine - INFO - Iter(train) [ 40000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:21:27 time: 0.9854 data_time: 0.0176 memory: 21354 grad_norm: 21.1635 loss: 8.9398 loss_cls: 0.2654 loss_bbox: 0.1237 loss_iou: 0.2288 d0.loss_cls: 0.2991 d0.loss_bbox: 0.1342 d0.loss_iou: 0.2438 d1.loss_cls: 0.2807 d1.loss_bbox: 0.1269 d1.loss_iou: 0.2328 d2.loss_cls: 0.2716 d2.loss_bbox: 0.1244 d2.loss_iou: 0.2302 d3.loss_cls: 0.2700 d3.loss_bbox: 0.1228 d3.loss_iou: 0.2275 d4.loss_cls: 0.2660 d4.loss_bbox: 0.1231 d4.loss_iou: 0.2284 enc_loss_cls: 0.3133 enc_loss_bbox: 0.1580 enc_loss_iou: 0.2683 dn_loss_cls: 0.1038 dn_loss_bbox: 0.1616 dn_loss_iou: 0.2184 d0.dn_loss_cls: 0.1757 d0.dn_loss_bbox: 0.3269 d0.dn_loss_iou: 0.3739 d1.dn_loss_cls: 0.1269 d1.dn_loss_bbox: 0.2030 d1.dn_loss_iou: 0.2550 d2.dn_loss_cls: 0.1150 d2.dn_loss_bbox: 0.1730 d2.dn_loss_iou: 0.2283 d3.dn_loss_cls: 0.1075 d3.dn_loss_bbox: 0.1628 d3.dn_loss_iou: 0.2198 d4.dn_loss_cls: 0.1057 d4.dn_loss_bbox: 0.1618 d4.dn_loss_iou: 0.2185 d1.loss_lmm_region: 0.1180 loss_lmm_image: 0.8455 2024/11/02 23:45:21 - mmengine - INFO - Iter(train) [ 40100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:19:44 time: 0.9777 data_time: 0.0175 memory: 20461 grad_norm: 21.3585 loss: 10.7411 loss_cls: 0.3588 loss_bbox: 0.1670 loss_iou: 0.3040 d0.loss_cls: 0.4086 d0.loss_bbox: 0.1738 d0.loss_iou: 0.3169 d1.loss_cls: 0.3823 d1.loss_bbox: 0.1737 d1.loss_iou: 0.3129 d2.loss_cls: 0.3687 d2.loss_bbox: 0.1712 d2.loss_iou: 0.3105 d3.loss_cls: 0.3683 d3.loss_bbox: 0.1667 d3.loss_iou: 0.3074 d4.loss_cls: 0.3608 d4.loss_bbox: 0.1693 d4.loss_iou: 0.3072 enc_loss_cls: 0.4134 enc_loss_bbox: 0.1939 enc_loss_iou: 0.3462 dn_loss_cls: 0.0866 dn_loss_bbox: 0.1814 dn_loss_iou: 0.2417 d0.dn_loss_cls: 0.1872 d0.dn_loss_bbox: 0.3249 d0.dn_loss_iou: 0.3909 d1.dn_loss_cls: 0.1210 d1.dn_loss_bbox: 0.2150 d1.dn_loss_iou: 0.2768 d2.dn_loss_cls: 0.1019 d2.dn_loss_bbox: 0.1881 d2.dn_loss_iou: 0.2494 d3.dn_loss_cls: 0.0915 d3.dn_loss_bbox: 0.1823 d3.dn_loss_iou: 0.2429 d4.dn_loss_cls: 0.0882 d4.dn_loss_bbox: 0.1814 d4.dn_loss_iou: 0.2416 d1.loss_lmm_region: 0.1917 loss_lmm_image: 0.8750 2024/11/02 23:46:58 - mmengine - INFO - Iter(train) [ 40200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:17:59 time: 0.9684 data_time: 0.0174 memory: 22510 grad_norm: 24.3212 loss: 8.6720 loss_cls: 0.2692 loss_bbox: 0.1179 loss_iou: 0.2147 d0.loss_cls: 0.2977 d0.loss_bbox: 0.1287 d0.loss_iou: 0.2274 d1.loss_cls: 0.2831 d1.loss_bbox: 0.1208 d1.loss_iou: 0.2175 d2.loss_cls: 0.2774 d2.loss_bbox: 0.1178 d2.loss_iou: 0.2145 d3.loss_cls: 0.2733 d3.loss_bbox: 0.1160 d3.loss_iou: 0.2137 d4.loss_cls: 0.2734 d4.loss_bbox: 0.1158 d4.loss_iou: 0.2132 enc_loss_cls: 0.3188 enc_loss_bbox: 0.1428 enc_loss_iou: 0.2525 dn_loss_cls: 0.1136 dn_loss_bbox: 0.1493 dn_loss_iou: 0.1969 d0.dn_loss_cls: 0.1960 d0.dn_loss_bbox: 0.2946 d0.dn_loss_iou: 0.3423 d1.dn_loss_cls: 0.1369 d1.dn_loss_bbox: 0.1799 d1.dn_loss_iou: 0.2292 d2.dn_loss_cls: 0.1290 d2.dn_loss_bbox: 0.1578 d2.dn_loss_iou: 0.2063 d3.dn_loss_cls: 0.1185 d3.dn_loss_bbox: 0.1504 d3.dn_loss_iou: 0.1983 d4.dn_loss_cls: 0.1151 d4.dn_loss_bbox: 0.1493 d4.dn_loss_iou: 0.1969 d1.loss_lmm_region: 0.1614 loss_lmm_image: 0.8444 2024/11/02 23:48:36 - mmengine - INFO - Iter(train) [ 40300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:16:17 time: 0.9802 data_time: 0.0175 memory: 21346 grad_norm: 25.6206 loss: 9.4222 loss_cls: 0.3015 loss_bbox: 0.1452 loss_iou: 0.2904 d0.loss_cls: 0.3381 d0.loss_bbox: 0.1577 d0.loss_iou: 0.3085 d1.loss_cls: 0.3191 d1.loss_bbox: 0.1459 d1.loss_iou: 0.2971 d2.loss_cls: 0.3111 d2.loss_bbox: 0.1433 d2.loss_iou: 0.2919 d3.loss_cls: 0.3071 d3.loss_bbox: 0.1421 d3.loss_iou: 0.2886 d4.loss_cls: 0.3013 d4.loss_bbox: 0.1454 d4.loss_iou: 0.2898 enc_loss_cls: 0.3528 enc_loss_bbox: 0.1737 enc_loss_iou: 0.3361 dn_loss_cls: 0.0719 dn_loss_bbox: 0.1453 dn_loss_iou: 0.2083 d0.dn_loss_cls: 0.1522 d0.dn_loss_bbox: 0.2812 d0.dn_loss_iou: 0.3476 d1.dn_loss_cls: 0.1004 d1.dn_loss_bbox: 0.1730 d1.dn_loss_iou: 0.2394 d2.dn_loss_cls: 0.0852 d2.dn_loss_bbox: 0.1531 d2.dn_loss_iou: 0.2178 d3.dn_loss_cls: 0.0756 d3.dn_loss_bbox: 0.1466 d3.dn_loss_iou: 0.2099 d4.dn_loss_cls: 0.0727 d4.dn_loss_bbox: 0.1452 d4.dn_loss_iou: 0.2083 d1.loss_lmm_region: 0.1233 loss_lmm_image: 0.8786 2024/11/02 23:50:14 - mmengine - INFO - Iter(train) [ 40400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:14:33 time: 0.9862 data_time: 0.0175 memory: 21380 grad_norm: 23.3197 loss: 9.0745 loss_cls: 0.2781 loss_bbox: 0.1272 loss_iou: 0.2390 d0.loss_cls: 0.3039 d0.loss_bbox: 0.1450 d0.loss_iou: 0.2540 d1.loss_cls: 0.2879 d1.loss_bbox: 0.1345 d1.loss_iou: 0.2445 d2.loss_cls: 0.2882 d2.loss_bbox: 0.1292 d2.loss_iou: 0.2393 d3.loss_cls: 0.2813 d3.loss_bbox: 0.1287 d3.loss_iou: 0.2396 d4.loss_cls: 0.2789 d4.loss_bbox: 0.1275 d4.loss_iou: 0.2385 enc_loss_cls: 0.3169 enc_loss_bbox: 0.1519 enc_loss_iou: 0.2717 dn_loss_cls: 0.1018 dn_loss_bbox: 0.1560 dn_loss_iou: 0.2134 d0.dn_loss_cls: 0.1852 d0.dn_loss_bbox: 0.3059 d0.dn_loss_iou: 0.3655 d1.dn_loss_cls: 0.1329 d1.dn_loss_bbox: 0.1905 d1.dn_loss_iou: 0.2471 d2.dn_loss_cls: 0.1161 d2.dn_loss_bbox: 0.1655 d2.dn_loss_iou: 0.2237 d3.dn_loss_cls: 0.1070 d3.dn_loss_bbox: 0.1576 d3.dn_loss_iou: 0.2149 d4.dn_loss_cls: 0.1026 d4.dn_loss_bbox: 0.1560 d4.dn_loss_iou: 0.2133 d1.loss_lmm_region: 0.1498 loss_lmm_image: 0.8637 2024/11/02 23:51:51 - mmengine - INFO - Iter(train) [ 40500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:12:49 time: 0.9712 data_time: 0.0175 memory: 20882 grad_norm: 22.1262 loss: 8.7698 loss_cls: 0.2502 loss_bbox: 0.1145 loss_iou: 0.2044 d0.loss_cls: 0.2820 d0.loss_bbox: 0.1239 d0.loss_iou: 0.2201 d1.loss_cls: 0.2679 d1.loss_bbox: 0.1192 d1.loss_iou: 0.2087 d2.loss_cls: 0.2623 d2.loss_bbox: 0.1132 d2.loss_iou: 0.2059 d3.loss_cls: 0.2563 d3.loss_bbox: 0.1133 d3.loss_iou: 0.2050 d4.loss_cls: 0.2550 d4.loss_bbox: 0.1116 d4.loss_iou: 0.2027 enc_loss_cls: 0.3021 enc_loss_bbox: 0.1368 enc_loss_iou: 0.2356 dn_loss_cls: 0.0982 dn_loss_bbox: 0.1804 dn_loss_iou: 0.2218 d0.dn_loss_cls: 0.1871 d0.dn_loss_bbox: 0.3583 d0.dn_loss_iou: 0.3830 d1.dn_loss_cls: 0.1329 d1.dn_loss_bbox: 0.2133 d1.dn_loss_iou: 0.2538 d2.dn_loss_cls: 0.1181 d2.dn_loss_bbox: 0.1915 d2.dn_loss_iou: 0.2317 d3.dn_loss_cls: 0.1036 d3.dn_loss_bbox: 0.1823 d3.dn_loss_iou: 0.2233 d4.dn_loss_cls: 0.0998 d4.dn_loss_bbox: 0.1805 d4.dn_loss_iou: 0.2218 d1.loss_lmm_region: 0.1564 loss_lmm_image: 0.8409 2024/11/02 23:53:29 - mmengine - INFO - Iter(train) [ 40600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:11:06 time: 0.9686 data_time: 0.0174 memory: 21564 grad_norm: 23.5363 loss: 8.4209 loss_cls: 0.2378 loss_bbox: 0.1118 loss_iou: 0.1895 d0.loss_cls: 0.2581 d0.loss_bbox: 0.1271 d0.loss_iou: 0.2067 d1.loss_cls: 0.2512 d1.loss_bbox: 0.1160 d1.loss_iou: 0.1947 d2.loss_cls: 0.2450 d2.loss_bbox: 0.1130 d2.loss_iou: 0.1912 d3.loss_cls: 0.2425 d3.loss_bbox: 0.1133 d3.loss_iou: 0.1894 d4.loss_cls: 0.2376 d4.loss_bbox: 0.1114 d4.loss_iou: 0.1902 enc_loss_cls: 0.2747 enc_loss_bbox: 0.1350 enc_loss_iou: 0.2214 dn_loss_cls: 0.1034 dn_loss_bbox: 0.1677 dn_loss_iou: 0.2088 d0.dn_loss_cls: 0.1911 d0.dn_loss_bbox: 0.3413 d0.dn_loss_iou: 0.3680 d1.dn_loss_cls: 0.1358 d1.dn_loss_bbox: 0.2077 d1.dn_loss_iou: 0.2460 d2.dn_loss_cls: 0.1166 d2.dn_loss_bbox: 0.1767 d2.dn_loss_iou: 0.2173 d3.dn_loss_cls: 0.1069 d3.dn_loss_bbox: 0.1697 d3.dn_loss_iou: 0.2104 d4.dn_loss_cls: 0.1037 d4.dn_loss_bbox: 0.1676 d4.dn_loss_iou: 0.2084 d1.loss_lmm_region: 0.1628 loss_lmm_image: 0.8536 2024/11/02 23:55:08 - mmengine - INFO - Iter(train) [ 40700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:09:25 time: 0.9830 data_time: 0.0176 memory: 21583 grad_norm: 20.6455 loss: 10.8107 loss_cls: 0.3246 loss_bbox: 0.1623 loss_iou: 0.3051 d0.loss_cls: 0.3615 d0.loss_bbox: 0.1703 d0.loss_iou: 0.3216 d1.loss_cls: 0.3410 d1.loss_bbox: 0.1645 d1.loss_iou: 0.3122 d2.loss_cls: 0.3324 d2.loss_bbox: 0.1652 d2.loss_iou: 0.3085 d3.loss_cls: 0.3268 d3.loss_bbox: 0.1659 d3.loss_iou: 0.3079 d4.loss_cls: 0.3284 d4.loss_bbox: 0.1615 d4.loss_iou: 0.3037 enc_loss_cls: 0.3776 enc_loss_bbox: 0.1854 enc_loss_iou: 0.3375 dn_loss_cls: 0.0930 dn_loss_bbox: 0.2151 dn_loss_iou: 0.2634 d0.dn_loss_cls: 0.1914 d0.dn_loss_bbox: 0.3818 d0.dn_loss_iou: 0.4211 d1.dn_loss_cls: 0.1316 d1.dn_loss_bbox: 0.2520 d1.dn_loss_iou: 0.2999 d2.dn_loss_cls: 0.1122 d2.dn_loss_bbox: 0.2211 d2.dn_loss_iou: 0.2724 d3.dn_loss_cls: 0.0994 d3.dn_loss_bbox: 0.2158 d3.dn_loss_iou: 0.2648 d4.dn_loss_cls: 0.0949 d4.dn_loss_bbox: 0.2151 d4.dn_loss_iou: 0.2635 d1.loss_lmm_region: 0.1741 loss_lmm_image: 0.8640 2024/11/02 23:56:45 - mmengine - INFO - Iter(train) [ 40800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:07:39 time: 0.9718 data_time: 0.0175 memory: 20697 grad_norm: 22.1780 loss: 9.7397 loss_cls: 0.2800 loss_bbox: 0.1366 loss_iou: 0.2356 d0.loss_cls: 0.3202 d0.loss_bbox: 0.1516 d0.loss_iou: 0.2525 d1.loss_cls: 0.3012 d1.loss_bbox: 0.1417 d1.loss_iou: 0.2395 d2.loss_cls: 0.2893 d2.loss_bbox: 0.1399 d2.loss_iou: 0.2380 d3.loss_cls: 0.2860 d3.loss_bbox: 0.1376 d3.loss_iou: 0.2359 d4.loss_cls: 0.2821 d4.loss_bbox: 0.1365 d4.loss_iou: 0.2349 enc_loss_cls: 0.3323 enc_loss_bbox: 0.1711 enc_loss_iou: 0.2765 dn_loss_cls: 0.0913 dn_loss_bbox: 0.2061 dn_loss_iou: 0.2387 d0.dn_loss_cls: 0.1985 d0.dn_loss_bbox: 0.3975 d0.dn_loss_iou: 0.4024 d1.dn_loss_cls: 0.1322 d1.dn_loss_bbox: 0.2515 d1.dn_loss_iou: 0.2762 d2.dn_loss_cls: 0.1111 d2.dn_loss_bbox: 0.2209 d2.dn_loss_iou: 0.2501 d3.dn_loss_cls: 0.0987 d3.dn_loss_bbox: 0.2088 d3.dn_loss_iou: 0.2409 d4.dn_loss_cls: 0.0914 d4.dn_loss_bbox: 0.2062 d4.dn_loss_iou: 0.2387 d1.loss_lmm_region: 0.1781 loss_lmm_image: 0.8814 2024/11/02 23:58:23 - mmengine - INFO - Iter(train) [ 40900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:05:56 time: 0.9758 data_time: 0.0175 memory: 21219 grad_norm: 20.1624 loss: 10.9168 loss_cls: 0.3488 loss_bbox: 0.1703 loss_iou: 0.3000 d0.loss_cls: 0.3930 d0.loss_bbox: 0.1854 d0.loss_iou: 0.3125 d1.loss_cls: 0.3714 d1.loss_bbox: 0.1805 d1.loss_iou: 0.3067 d2.loss_cls: 0.3581 d2.loss_bbox: 0.1786 d2.loss_iou: 0.3057 d3.loss_cls: 0.3547 d3.loss_bbox: 0.1733 d3.loss_iou: 0.3010 d4.loss_cls: 0.3515 d4.loss_bbox: 0.1696 d4.loss_iou: 0.2991 enc_loss_cls: 0.4080 enc_loss_bbox: 0.2051 enc_loss_iou: 0.3345 dn_loss_cls: 0.1166 dn_loss_bbox: 0.1965 dn_loss_iou: 0.2427 d0.dn_loss_cls: 0.2125 d0.dn_loss_bbox: 0.3519 d0.dn_loss_iou: 0.3918 d1.dn_loss_cls: 0.1518 d1.dn_loss_bbox: 0.2327 d1.dn_loss_iou: 0.2788 d2.dn_loss_cls: 0.1344 d2.dn_loss_bbox: 0.2056 d2.dn_loss_iou: 0.2520 d3.dn_loss_cls: 0.1232 d3.dn_loss_bbox: 0.1981 d3.dn_loss_iou: 0.2444 d4.dn_loss_cls: 0.1175 d4.dn_loss_bbox: 0.1964 d4.dn_loss_iou: 0.2426 d1.loss_lmm_region: 0.1813 loss_lmm_image: 0.8382 2024/11/03 00:00:01 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 00:00:01 - mmengine - INFO - Iter(train) [ 41000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:04:12 time: 0.9814 data_time: 0.0176 memory: 20251 grad_norm: 21.4608 loss: 11.8367 loss_cls: 0.4108 loss_bbox: 0.1879 loss_iou: 0.3486 d0.loss_cls: 0.4566 d0.loss_bbox: 0.1936 d0.loss_iou: 0.3682 d1.loss_cls: 0.4256 d1.loss_bbox: 0.1906 d1.loss_iou: 0.3610 d2.loss_cls: 0.4219 d2.loss_bbox: 0.1873 d2.loss_iou: 0.3511 d3.loss_cls: 0.4138 d3.loss_bbox: 0.1894 d3.loss_iou: 0.3536 d4.loss_cls: 0.4103 d4.loss_bbox: 0.1892 d4.loss_iou: 0.3495 enc_loss_cls: 0.4688 enc_loss_bbox: 0.2128 enc_loss_iou: 0.3937 dn_loss_cls: 0.1235 dn_loss_bbox: 0.1908 dn_loss_iou: 0.2542 d0.dn_loss_cls: 0.2063 d0.dn_loss_bbox: 0.3502 d0.dn_loss_iou: 0.4089 d1.dn_loss_cls: 0.1573 d1.dn_loss_bbox: 0.2236 d1.dn_loss_iou: 0.2870 d2.dn_loss_cls: 0.1404 d2.dn_loss_bbox: 0.2030 d2.dn_loss_iou: 0.2649 d3.dn_loss_cls: 0.1295 d3.dn_loss_bbox: 0.1935 d3.dn_loss_iou: 0.2565 d4.dn_loss_cls: 0.1242 d4.dn_loss_bbox: 0.1910 d4.dn_loss_iou: 0.2543 d1.loss_lmm_region: 0.1734 loss_lmm_image: 0.8198 2024/11/03 00:01:39 - mmengine - INFO - Iter(train) [ 41100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:02:32 time: 0.9908 data_time: 0.0176 memory: 21636 grad_norm: 21.4433 loss: 10.0179 loss_cls: 0.2896 loss_bbox: 0.1718 loss_iou: 0.2961 d0.loss_cls: 0.3445 d0.loss_bbox: 0.1744 d0.loss_iou: 0.3087 d1.loss_cls: 0.3243 d1.loss_bbox: 0.1633 d1.loss_iou: 0.2954 d2.loss_cls: 0.3044 d2.loss_bbox: 0.1671 d2.loss_iou: 0.2992 d3.loss_cls: 0.2997 d3.loss_bbox: 0.1701 d3.loss_iou: 0.2977 d4.loss_cls: 0.2919 d4.loss_bbox: 0.1720 d4.loss_iou: 0.2965 enc_loss_cls: 0.3596 enc_loss_bbox: 0.1859 enc_loss_iou: 0.3261 dn_loss_cls: 0.0696 dn_loss_bbox: 0.1817 dn_loss_iou: 0.2310 d0.dn_loss_cls: 0.1669 d0.dn_loss_bbox: 0.3296 d0.dn_loss_iou: 0.3801 d1.dn_loss_cls: 0.1035 d1.dn_loss_bbox: 0.2124 d1.dn_loss_iou: 0.2629 d2.dn_loss_cls: 0.0855 d2.dn_loss_bbox: 0.1912 d2.dn_loss_iou: 0.2401 d3.dn_loss_cls: 0.0750 d3.dn_loss_bbox: 0.1830 d3.dn_loss_iou: 0.2325 d4.dn_loss_cls: 0.0706 d4.dn_loss_bbox: 0.1818 d4.dn_loss_iou: 0.2308 d1.loss_lmm_region: 0.1687 loss_lmm_image: 0.8830 2024/11/03 00:03:17 - mmengine - INFO - Iter(train) [ 41200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:00:49 time: 0.9869 data_time: 0.0176 memory: 20745 grad_norm: 21.6283 loss: 10.1048 loss_cls: 0.2972 loss_bbox: 0.1637 loss_iou: 0.2836 d0.loss_cls: 0.3392 d0.loss_bbox: 0.1824 d0.loss_iou: 0.3029 d1.loss_cls: 0.3190 d1.loss_bbox: 0.1708 d1.loss_iou: 0.2899 d2.loss_cls: 0.3113 d2.loss_bbox: 0.1701 d2.loss_iou: 0.2848 d3.loss_cls: 0.3047 d3.loss_bbox: 0.1682 d3.loss_iou: 0.2848 d4.loss_cls: 0.2994 d4.loss_bbox: 0.1634 d4.loss_iou: 0.2832 enc_loss_cls: 0.3476 enc_loss_bbox: 0.1961 enc_loss_iou: 0.3306 dn_loss_cls: 0.1110 dn_loss_bbox: 0.1819 dn_loss_iou: 0.2337 d0.dn_loss_cls: 0.1850 d0.dn_loss_bbox: 0.3321 d0.dn_loss_iou: 0.3854 d1.dn_loss_cls: 0.1396 d1.dn_loss_bbox: 0.2123 d1.dn_loss_iou: 0.2664 d2.dn_loss_cls: 0.1224 d2.dn_loss_bbox: 0.1911 d2.dn_loss_iou: 0.2428 d3.dn_loss_cls: 0.1126 d3.dn_loss_bbox: 0.1828 d3.dn_loss_iou: 0.2350 d4.dn_loss_cls: 0.1102 d4.dn_loss_bbox: 0.1817 d4.dn_loss_iou: 0.2335 d1.loss_lmm_region: 0.1426 loss_lmm_image: 0.8094 2024/11/03 00:04:55 - mmengine - INFO - Iter(train) [ 41300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:59:04 time: 0.9726 data_time: 0.0175 memory: 21565 grad_norm: 20.0433 loss: 9.9447 loss_cls: 0.3116 loss_bbox: 0.1545 loss_iou: 0.2923 d0.loss_cls: 0.3508 d0.loss_bbox: 0.1596 d0.loss_iou: 0.3062 d1.loss_cls: 0.3337 d1.loss_bbox: 0.1515 d1.loss_iou: 0.2922 d2.loss_cls: 0.3255 d2.loss_bbox: 0.1519 d2.loss_iou: 0.2917 d3.loss_cls: 0.3183 d3.loss_bbox: 0.1529 d3.loss_iou: 0.2935 d4.loss_cls: 0.3127 d4.loss_bbox: 0.1538 d4.loss_iou: 0.2922 enc_loss_cls: 0.3701 enc_loss_bbox: 0.1764 enc_loss_iou: 0.3309 dn_loss_cls: 0.0950 dn_loss_bbox: 0.1558 dn_loss_iou: 0.2245 d0.dn_loss_cls: 0.1825 d0.dn_loss_bbox: 0.2934 d0.dn_loss_iou: 0.3715 d1.dn_loss_cls: 0.1258 d1.dn_loss_bbox: 0.1841 d1.dn_loss_iou: 0.2578 d2.dn_loss_cls: 0.1106 d2.dn_loss_bbox: 0.1652 d2.dn_loss_iou: 0.2343 d3.dn_loss_cls: 0.1001 d3.dn_loss_bbox: 0.1571 d3.dn_loss_iou: 0.2260 d4.dn_loss_cls: 0.0947 d4.dn_loss_bbox: 0.1558 d4.dn_loss_iou: 0.2245 d1.loss_lmm_region: 0.1629 loss_lmm_image: 0.9008 2024/11/03 00:06:34 - mmengine - INFO - Iter(train) [ 41400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:57:24 time: 0.9764 data_time: 0.0175 memory: 21582 grad_norm: 22.7730 loss: 8.9742 loss_cls: 0.2680 loss_bbox: 0.1233 loss_iou: 0.2302 d0.loss_cls: 0.2864 d0.loss_bbox: 0.1355 d0.loss_iou: 0.2432 d1.loss_cls: 0.2744 d1.loss_bbox: 0.1306 d1.loss_iou: 0.2376 d2.loss_cls: 0.2690 d2.loss_bbox: 0.1297 d2.loss_iou: 0.2374 d3.loss_cls: 0.2666 d3.loss_bbox: 0.1277 d3.loss_iou: 0.2315 d4.loss_cls: 0.2714 d4.loss_bbox: 0.1215 d4.loss_iou: 0.2281 enc_loss_cls: 0.2996 enc_loss_bbox: 0.1522 enc_loss_iou: 0.2678 dn_loss_cls: 0.0801 dn_loss_bbox: 0.1642 dn_loss_iou: 0.2318 d0.dn_loss_cls: 0.1766 d0.dn_loss_bbox: 0.3111 d0.dn_loss_iou: 0.3880 d1.dn_loss_cls: 0.1133 d1.dn_loss_bbox: 0.2005 d1.dn_loss_iou: 0.2689 d2.dn_loss_cls: 0.0954 d2.dn_loss_bbox: 0.1750 d2.dn_loss_iou: 0.2423 d3.dn_loss_cls: 0.0848 d3.dn_loss_bbox: 0.1652 d3.dn_loss_iou: 0.2334 d4.dn_loss_cls: 0.0818 d4.dn_loss_bbox: 0.1643 d4.dn_loss_iou: 0.2318 d1.loss_lmm_region: 0.1794 loss_lmm_image: 0.8546 2024/11/03 00:08:11 - mmengine - INFO - Iter(train) [ 41500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:55:41 time: 0.9784 data_time: 0.0175 memory: 21454 grad_norm: 21.9610 loss: 9.7402 loss_cls: 0.3125 loss_bbox: 0.1279 loss_iou: 0.2460 d0.loss_cls: 0.3525 d0.loss_bbox: 0.1434 d0.loss_iou: 0.2609 d1.loss_cls: 0.3317 d1.loss_bbox: 0.1343 d1.loss_iou: 0.2529 d2.loss_cls: 0.3207 d2.loss_bbox: 0.1311 d2.loss_iou: 0.2470 d3.loss_cls: 0.3174 d3.loss_bbox: 0.1287 d3.loss_iou: 0.2467 d4.loss_cls: 0.3139 d4.loss_bbox: 0.1278 d4.loss_iou: 0.2453 enc_loss_cls: 0.3677 enc_loss_bbox: 0.1589 enc_loss_iou: 0.2876 dn_loss_cls: 0.1274 dn_loss_bbox: 0.1696 dn_loss_iou: 0.2185 d0.dn_loss_cls: 0.2003 d0.dn_loss_bbox: 0.3127 d0.dn_loss_iou: 0.3693 d1.dn_loss_cls: 0.1530 d1.dn_loss_bbox: 0.1997 d1.dn_loss_iou: 0.2535 d2.dn_loss_cls: 0.1383 d2.dn_loss_bbox: 0.1766 d2.dn_loss_iou: 0.2287 d3.dn_loss_cls: 0.1341 d3.dn_loss_bbox: 0.1701 d3.dn_loss_iou: 0.2201 d4.dn_loss_cls: 0.1294 d4.dn_loss_bbox: 0.1695 d4.dn_loss_iou: 0.2184 d1.loss_lmm_region: 0.1521 loss_lmm_image: 0.9442 2024/11/03 00:09:49 - mmengine - INFO - Iter(train) [ 41600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:53:57 time: 0.9700 data_time: 0.0176 memory: 21362 grad_norm: 20.7654 loss: 10.0948 loss_cls: 0.3044 loss_bbox: 0.1533 loss_iou: 0.2662 d0.loss_cls: 0.3400 d0.loss_bbox: 0.1708 d0.loss_iou: 0.2869 d1.loss_cls: 0.3293 d1.loss_bbox: 0.1558 d1.loss_iou: 0.2723 d2.loss_cls: 0.3133 d2.loss_bbox: 0.1548 d2.loss_iou: 0.2699 d3.loss_cls: 0.3114 d3.loss_bbox: 0.1546 d3.loss_iou: 0.2684 d4.loss_cls: 0.3058 d4.loss_bbox: 0.1535 d4.loss_iou: 0.2665 enc_loss_cls: 0.3554 enc_loss_bbox: 0.1828 enc_loss_iou: 0.3035 dn_loss_cls: 0.0921 dn_loss_bbox: 0.1907 dn_loss_iou: 0.2329 d0.dn_loss_cls: 0.1779 d0.dn_loss_bbox: 0.3646 d0.dn_loss_iou: 0.3956 d1.dn_loss_cls: 0.1284 d1.dn_loss_bbox: 0.2306 d1.dn_loss_iou: 0.2658 d2.dn_loss_cls: 0.1094 d2.dn_loss_bbox: 0.2014 d2.dn_loss_iou: 0.2407 d3.dn_loss_cls: 0.0981 d3.dn_loss_bbox: 0.1918 d3.dn_loss_iou: 0.2340 d4.dn_loss_cls: 0.0922 d4.dn_loss_bbox: 0.1906 d4.dn_loss_iou: 0.2328 d1.loss_lmm_region: 0.1685 loss_lmm_image: 0.9379 2024/11/03 00:11:27 - mmengine - INFO - Iter(train) [ 41700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:52:15 time: 0.9830 data_time: 0.0176 memory: 19967 grad_norm: 23.9442 loss: 10.8079 loss_cls: 0.3322 loss_bbox: 0.1863 loss_iou: 0.3125 d0.loss_cls: 0.3632 d0.loss_bbox: 0.1970 d0.loss_iou: 0.3302 d1.loss_cls: 0.3505 d1.loss_bbox: 0.1858 d1.loss_iou: 0.3149 d2.loss_cls: 0.3346 d2.loss_bbox: 0.1849 d2.loss_iou: 0.3133 d3.loss_cls: 0.3338 d3.loss_bbox: 0.1824 d3.loss_iou: 0.3109 d4.loss_cls: 0.3321 d4.loss_bbox: 0.1830 d4.loss_iou: 0.3108 enc_loss_cls: 0.3829 enc_loss_bbox: 0.2102 enc_loss_iou: 0.3485 dn_loss_cls: 0.0979 dn_loss_bbox: 0.1956 dn_loss_iou: 0.2486 d0.dn_loss_cls: 0.1897 d0.dn_loss_bbox: 0.3613 d0.dn_loss_iou: 0.4028 d1.dn_loss_cls: 0.1324 d1.dn_loss_bbox: 0.2329 d1.dn_loss_iou: 0.2836 d2.dn_loss_cls: 0.1122 d2.dn_loss_bbox: 0.2056 d2.dn_loss_iou: 0.2573 d3.dn_loss_cls: 0.1037 d3.dn_loss_bbox: 0.1974 d3.dn_loss_iou: 0.2502 d4.dn_loss_cls: 0.0980 d4.dn_loss_bbox: 0.1955 d4.dn_loss_iou: 0.2485 d1.loss_lmm_region: 0.1806 loss_lmm_image: 0.8139 2024/11/03 00:13:05 - mmengine - INFO - Iter(train) [ 41800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:50:32 time: 0.9689 data_time: 0.0175 memory: 21831 grad_norm: 23.6274 loss: 9.5524 loss_cls: 0.2891 loss_bbox: 0.1487 loss_iou: 0.2630 d0.loss_cls: 0.3194 d0.loss_bbox: 0.1623 d0.loss_iou: 0.2836 d1.loss_cls: 0.3059 d1.loss_bbox: 0.1545 d1.loss_iou: 0.2696 d2.loss_cls: 0.2981 d2.loss_bbox: 0.1500 d2.loss_iou: 0.2652 d3.loss_cls: 0.2944 d3.loss_bbox: 0.1500 d3.loss_iou: 0.2618 d4.loss_cls: 0.2896 d4.loss_bbox: 0.1487 d4.loss_iou: 0.2633 enc_loss_cls: 0.3445 enc_loss_bbox: 0.1795 enc_loss_iou: 0.3075 dn_loss_cls: 0.1003 dn_loss_bbox: 0.1683 dn_loss_iou: 0.2165 d0.dn_loss_cls: 0.1771 d0.dn_loss_bbox: 0.3061 d0.dn_loss_iou: 0.3533 d1.dn_loss_cls: 0.1232 d1.dn_loss_bbox: 0.2043 d1.dn_loss_iou: 0.2506 d2.dn_loss_cls: 0.1101 d2.dn_loss_bbox: 0.1764 d2.dn_loss_iou: 0.2243 d3.dn_loss_cls: 0.1032 d3.dn_loss_bbox: 0.1695 d3.dn_loss_iou: 0.2176 d4.dn_loss_cls: 0.1014 d4.dn_loss_bbox: 0.1683 d4.dn_loss_iou: 0.2163 d1.loss_lmm_region: 0.1768 loss_lmm_image: 0.8402 2024/11/03 00:14:44 - mmengine - INFO - Iter(train) [ 41900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:48:52 time: 0.9906 data_time: 0.0175 memory: 20631 grad_norm: 21.3026 loss: 9.8146 loss_cls: 0.3031 loss_bbox: 0.1452 loss_iou: 0.2689 d0.loss_cls: 0.3404 d0.loss_bbox: 0.1582 d0.loss_iou: 0.2881 d1.loss_cls: 0.3293 d1.loss_bbox: 0.1449 d1.loss_iou: 0.2767 d2.loss_cls: 0.3167 d2.loss_bbox: 0.1441 d2.loss_iou: 0.2722 d3.loss_cls: 0.3112 d3.loss_bbox: 0.1443 d3.loss_iou: 0.2696 d4.loss_cls: 0.3050 d4.loss_bbox: 0.1460 d4.loss_iou: 0.2698 enc_loss_cls: 0.3601 enc_loss_bbox: 0.1690 enc_loss_iou: 0.3050 dn_loss_cls: 0.0814 dn_loss_bbox: 0.1847 dn_loss_iou: 0.2325 d0.dn_loss_cls: 0.1786 d0.dn_loss_bbox: 0.3526 d0.dn_loss_iou: 0.3901 d1.dn_loss_cls: 0.1166 d1.dn_loss_bbox: 0.2230 d1.dn_loss_iou: 0.2688 d2.dn_loss_cls: 0.0981 d2.dn_loss_bbox: 0.1954 d2.dn_loss_iou: 0.2428 d3.dn_loss_cls: 0.0875 d3.dn_loss_bbox: 0.1854 d3.dn_loss_iou: 0.2338 d4.dn_loss_cls: 0.0832 d4.dn_loss_bbox: 0.1847 d4.dn_loss_iou: 0.2326 d1.loss_lmm_region: 0.1421 loss_lmm_image: 0.8331 2024/11/03 00:16:22 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 00:16:22 - mmengine - INFO - Iter(train) [ 42000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:47:08 time: 0.9726 data_time: 0.0177 memory: 21307 grad_norm: 25.8058 loss: 10.8907 loss_cls: 0.3146 loss_bbox: 0.1818 loss_iou: 0.3316 d0.loss_cls: 0.3482 d0.loss_bbox: 0.2015 d0.loss_iou: 0.3497 d1.loss_cls: 0.3295 d1.loss_bbox: 0.1914 d1.loss_iou: 0.3412 d2.loss_cls: 0.3213 d2.loss_bbox: 0.1831 d2.loss_iou: 0.3349 d3.loss_cls: 0.3185 d3.loss_bbox: 0.1795 d3.loss_iou: 0.3315 d4.loss_cls: 0.3163 d4.loss_bbox: 0.1811 d4.loss_iou: 0.3315 enc_loss_cls: 0.3663 enc_loss_bbox: 0.2121 enc_loss_iou: 0.3709 dn_loss_cls: 0.0876 dn_loss_bbox: 0.1953 dn_loss_iou: 0.2603 d0.dn_loss_cls: 0.1774 d0.dn_loss_bbox: 0.3598 d0.dn_loss_iou: 0.4246 d1.dn_loss_cls: 0.1195 d1.dn_loss_bbox: 0.2312 d1.dn_loss_iou: 0.2950 d2.dn_loss_cls: 0.1022 d2.dn_loss_bbox: 0.2046 d2.dn_loss_iou: 0.2686 d3.dn_loss_cls: 0.0959 d3.dn_loss_bbox: 0.1972 d3.dn_loss_iou: 0.2616 d4.dn_loss_cls: 0.0888 d4.dn_loss_bbox: 0.1954 d4.dn_loss_iou: 0.2604 d1.loss_lmm_region: 0.1483 loss_lmm_image: 0.8808 2024/11/03 00:18:00 - mmengine - INFO - Iter(train) [ 42100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:45:26 time: 0.9900 data_time: 0.0175 memory: 20850 grad_norm: 24.8538 loss: 9.4626 loss_cls: 0.3037 loss_bbox: 0.1491 loss_iou: 0.2385 d0.loss_cls: 0.3266 d0.loss_bbox: 0.1633 d0.loss_iou: 0.2566 d1.loss_cls: 0.3111 d1.loss_bbox: 0.1522 d1.loss_iou: 0.2429 d2.loss_cls: 0.3100 d2.loss_bbox: 0.1486 d2.loss_iou: 0.2385 d3.loss_cls: 0.3083 d3.loss_bbox: 0.1496 d3.loss_iou: 0.2370 d4.loss_cls: 0.3056 d4.loss_bbox: 0.1497 d4.loss_iou: 0.2374 enc_loss_cls: 0.3422 enc_loss_bbox: 0.1829 enc_loss_iou: 0.2853 dn_loss_cls: 0.1000 dn_loss_bbox: 0.1591 dn_loss_iou: 0.2088 d0.dn_loss_cls: 0.1939 d0.dn_loss_bbox: 0.3269 d0.dn_loss_iou: 0.3694 d1.dn_loss_cls: 0.1376 d1.dn_loss_bbox: 0.1942 d1.dn_loss_iou: 0.2476 d2.dn_loss_cls: 0.1166 d2.dn_loss_bbox: 0.1692 d2.dn_loss_iou: 0.2189 d3.dn_loss_cls: 0.1058 d3.dn_loss_bbox: 0.1607 d3.dn_loss_iou: 0.2102 d4.dn_loss_cls: 0.1012 d4.dn_loss_bbox: 0.1592 d4.dn_loss_iou: 0.2088 d1.loss_lmm_region: 0.1490 loss_lmm_image: 0.8863 2024/11/03 00:19:37 - mmengine - INFO - Iter(train) [ 42200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:43:42 time: 0.9720 data_time: 0.0176 memory: 21324 grad_norm: 23.3230 loss: 11.4477 loss_cls: 0.3355 loss_bbox: 0.1989 loss_iou: 0.3257 d0.loss_cls: 0.3630 d0.loss_bbox: 0.2282 d0.loss_iou: 0.3554 d1.loss_cls: 0.3521 d1.loss_bbox: 0.2087 d1.loss_iou: 0.3346 d2.loss_cls: 0.3396 d2.loss_bbox: 0.2062 d2.loss_iou: 0.3300 d3.loss_cls: 0.3386 d3.loss_bbox: 0.2009 d3.loss_iou: 0.3255 d4.loss_cls: 0.3378 d4.loss_bbox: 0.1970 d4.loss_iou: 0.3234 enc_loss_cls: 0.3891 enc_loss_bbox: 0.2364 enc_loss_iou: 0.3732 dn_loss_cls: 0.0898 dn_loss_bbox: 0.2323 dn_loss_iou: 0.2701 d0.dn_loss_cls: 0.1841 d0.dn_loss_bbox: 0.4052 d0.dn_loss_iou: 0.4298 d1.dn_loss_cls: 0.1228 d1.dn_loss_bbox: 0.2707 d1.dn_loss_iou: 0.3051 d2.dn_loss_cls: 0.1053 d2.dn_loss_bbox: 0.2419 d2.dn_loss_iou: 0.2787 d3.dn_loss_cls: 0.0952 d3.dn_loss_bbox: 0.2338 d3.dn_loss_iou: 0.2717 d4.dn_loss_cls: 0.0904 d4.dn_loss_bbox: 0.2323 d4.dn_loss_iou: 0.2701 d1.loss_lmm_region: 0.1374 loss_lmm_image: 0.8810 2024/11/03 00:21:16 - mmengine - INFO - Iter(train) [ 42300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:42:00 time: 0.9725 data_time: 0.0176 memory: 20563 grad_norm: 23.6711 loss: 10.0961 loss_cls: 0.3175 loss_bbox: 0.1536 loss_iou: 0.2660 d0.loss_cls: 0.3564 d0.loss_bbox: 0.1734 d0.loss_iou: 0.2860 d1.loss_cls: 0.3402 d1.loss_bbox: 0.1562 d1.loss_iou: 0.2711 d2.loss_cls: 0.3307 d2.loss_bbox: 0.1523 d2.loss_iou: 0.2651 d3.loss_cls: 0.3233 d3.loss_bbox: 0.1535 d3.loss_iou: 0.2662 d4.loss_cls: 0.3179 d4.loss_bbox: 0.1532 d4.loss_iou: 0.2663 enc_loss_cls: 0.3751 enc_loss_bbox: 0.1885 enc_loss_iou: 0.3084 dn_loss_cls: 0.0954 dn_loss_bbox: 0.1893 dn_loss_iou: 0.2274 d0.dn_loss_cls: 0.1844 d0.dn_loss_bbox: 0.3568 d0.dn_loss_iou: 0.3780 d1.dn_loss_cls: 0.1319 d1.dn_loss_bbox: 0.2307 d1.dn_loss_iou: 0.2646 d2.dn_loss_cls: 0.1149 d2.dn_loss_bbox: 0.2016 d2.dn_loss_iou: 0.2369 d3.dn_loss_cls: 0.1026 d3.dn_loss_bbox: 0.1918 d3.dn_loss_iou: 0.2288 d4.dn_loss_cls: 0.0967 d4.dn_loss_bbox: 0.1894 d4.dn_loss_iou: 0.2273 d1.loss_lmm_region: 0.1747 loss_lmm_image: 0.8519 2024/11/03 00:22:54 - mmengine - INFO - Iter(train) [ 42400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:40:18 time: 0.9812 data_time: 0.0176 memory: 21589 grad_norm: 22.3786 loss: 10.3626 loss_cls: 0.3518 loss_bbox: 0.1630 loss_iou: 0.2722 d0.loss_cls: 0.3894 d0.loss_bbox: 0.1780 d0.loss_iou: 0.2900 d1.loss_cls: 0.3800 d1.loss_bbox: 0.1633 d1.loss_iou: 0.2717 d2.loss_cls: 0.3696 d2.loss_bbox: 0.1612 d2.loss_iou: 0.2719 d3.loss_cls: 0.3574 d3.loss_bbox: 0.1650 d3.loss_iou: 0.2730 d4.loss_cls: 0.3554 d4.loss_bbox: 0.1607 d4.loss_iou: 0.2699 enc_loss_cls: 0.4078 enc_loss_bbox: 0.1933 enc_loss_iou: 0.3190 dn_loss_cls: 0.0887 dn_loss_bbox: 0.1877 dn_loss_iou: 0.2270 d0.dn_loss_cls: 0.1836 d0.dn_loss_bbox: 0.3480 d0.dn_loss_iou: 0.3812 d1.dn_loss_cls: 0.1239 d1.dn_loss_bbox: 0.2205 d1.dn_loss_iou: 0.2614 d2.dn_loss_cls: 0.1020 d2.dn_loss_bbox: 0.1943 d2.dn_loss_iou: 0.2358 d3.dn_loss_cls: 0.0933 d3.dn_loss_bbox: 0.1889 d3.dn_loss_iou: 0.2281 d4.dn_loss_cls: 0.0892 d4.dn_loss_bbox: 0.1880 d4.dn_loss_iou: 0.2269 d1.loss_lmm_region: 0.1667 loss_lmm_image: 0.8642 2024/11/03 00:24:32 - mmengine - INFO - Iter(train) [ 42500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:38:35 time: 0.9660 data_time: 0.0177 memory: 19785 grad_norm: 21.6002 loss: 10.6137 loss_cls: 0.3148 loss_bbox: 0.1638 loss_iou: 0.2966 d0.loss_cls: 0.3505 d0.loss_bbox: 0.1827 d0.loss_iou: 0.3130 d1.loss_cls: 0.3232 d1.loss_bbox: 0.1754 d1.loss_iou: 0.3099 d2.loss_cls: 0.3252 d2.loss_bbox: 0.1658 d2.loss_iou: 0.2973 d3.loss_cls: 0.3173 d3.loss_bbox: 0.1650 d3.loss_iou: 0.2954 d4.loss_cls: 0.3161 d4.loss_bbox: 0.1643 d4.loss_iou: 0.2959 enc_loss_cls: 0.3631 enc_loss_bbox: 0.1934 enc_loss_iou: 0.3290 dn_loss_cls: 0.0900 dn_loss_bbox: 0.2148 dn_loss_iou: 0.2558 d0.dn_loss_cls: 0.1720 d0.dn_loss_bbox: 0.3830 d0.dn_loss_iou: 0.4183 d1.dn_loss_cls: 0.1223 d1.dn_loss_bbox: 0.2528 d1.dn_loss_iou: 0.2929 d2.dn_loss_cls: 0.1057 d2.dn_loss_bbox: 0.2259 d2.dn_loss_iou: 0.2652 d3.dn_loss_cls: 0.0959 d3.dn_loss_bbox: 0.2164 d3.dn_loss_iou: 0.2575 d4.dn_loss_cls: 0.0907 d4.dn_loss_bbox: 0.2146 d4.dn_loss_iou: 0.2558 d1.loss_lmm_region: 0.1508 loss_lmm_image: 0.8759 2024/11/03 00:26:10 - mmengine - INFO - Iter(train) [ 42600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:36:54 time: 0.9846 data_time: 0.0179 memory: 21984 grad_norm: 21.9761 loss: 9.0777 loss_cls: 0.3006 loss_bbox: 0.1279 loss_iou: 0.2449 d0.loss_cls: 0.3341 d0.loss_bbox: 0.1427 d0.loss_iou: 0.2639 d1.loss_cls: 0.3193 d1.loss_bbox: 0.1327 d1.loss_iou: 0.2517 d2.loss_cls: 0.3082 d2.loss_bbox: 0.1296 d2.loss_iou: 0.2465 d3.loss_cls: 0.3078 d3.loss_bbox: 0.1266 d3.loss_iou: 0.2418 d4.loss_cls: 0.3031 d4.loss_bbox: 0.1270 d4.loss_iou: 0.2430 enc_loss_cls: 0.3546 enc_loss_bbox: 0.1547 enc_loss_iou: 0.2895 dn_loss_cls: 0.0958 dn_loss_bbox: 0.1388 dn_loss_iou: 0.1978 d0.dn_loss_cls: 0.1780 d0.dn_loss_bbox: 0.2907 d0.dn_loss_iou: 0.3454 d1.dn_loss_cls: 0.1277 d1.dn_loss_bbox: 0.1721 d1.dn_loss_iou: 0.2330 d2.dn_loss_cls: 0.1104 d2.dn_loss_bbox: 0.1473 d2.dn_loss_iou: 0.2070 d3.dn_loss_cls: 0.1007 d3.dn_loss_bbox: 0.1403 d3.dn_loss_iou: 0.1996 d4.dn_loss_cls: 0.0957 d4.dn_loss_bbox: 0.1388 d4.dn_loss_iou: 0.1977 d1.loss_lmm_region: 0.1610 loss_lmm_image: 0.8496 2024/11/03 00:27:47 - mmengine - INFO - Iter(train) [ 42700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:35:09 time: 0.9743 data_time: 0.0176 memory: 20918 grad_norm: 25.7680 loss: 9.2001 loss_cls: 0.2710 loss_bbox: 0.1278 loss_iou: 0.2346 d0.loss_cls: 0.3111 d0.loss_bbox: 0.1324 d0.loss_iou: 0.2426 d1.loss_cls: 0.2833 d1.loss_bbox: 0.1347 d1.loss_iou: 0.2375 d2.loss_cls: 0.2798 d2.loss_bbox: 0.1310 d2.loss_iou: 0.2329 d3.loss_cls: 0.2746 d3.loss_bbox: 0.1280 d3.loss_iou: 0.2333 d4.loss_cls: 0.2723 d4.loss_bbox: 0.1278 d4.loss_iou: 0.2341 enc_loss_cls: 0.3131 enc_loss_bbox: 0.1549 enc_loss_iou: 0.2631 dn_loss_cls: 0.0815 dn_loss_bbox: 0.1896 dn_loss_iou: 0.2294 d0.dn_loss_cls: 0.1736 d0.dn_loss_bbox: 0.3549 d0.dn_loss_iou: 0.3793 d1.dn_loss_cls: 0.1157 d1.dn_loss_bbox: 0.2283 d1.dn_loss_iou: 0.2627 d2.dn_loss_cls: 0.0967 d2.dn_loss_bbox: 0.2009 d2.dn_loss_iou: 0.2384 d3.dn_loss_cls: 0.0868 d3.dn_loss_bbox: 0.1917 d3.dn_loss_iou: 0.2306 d4.dn_loss_cls: 0.0833 d4.dn_loss_bbox: 0.1896 d4.dn_loss_iou: 0.2295 d1.loss_lmm_region: 0.1713 loss_lmm_image: 0.8462 2024/11/03 00:29:26 - mmengine - INFO - Iter(train) [ 42800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:33:27 time: 0.9831 data_time: 0.0176 memory: 21095 grad_norm: 21.7756 loss: 11.3393 loss_cls: 0.3673 loss_bbox: 0.1881 loss_iou: 0.3194 d0.loss_cls: 0.4019 d0.loss_bbox: 0.2063 d0.loss_iou: 0.3411 d1.loss_cls: 0.3881 d1.loss_bbox: 0.1917 d1.loss_iou: 0.3244 d2.loss_cls: 0.3814 d2.loss_bbox: 0.1851 d2.loss_iou: 0.3178 d3.loss_cls: 0.3742 d3.loss_bbox: 0.1855 d3.loss_iou: 0.3189 d4.loss_cls: 0.3700 d4.loss_bbox: 0.1853 d4.loss_iou: 0.3176 enc_loss_cls: 0.4291 enc_loss_bbox: 0.2110 enc_loss_iou: 0.3573 dn_loss_cls: 0.1134 dn_loss_bbox: 0.1903 dn_loss_iou: 0.2562 d0.dn_loss_cls: 0.2016 d0.dn_loss_bbox: 0.3408 d0.dn_loss_iou: 0.4177 d1.dn_loss_cls: 0.1496 d1.dn_loss_bbox: 0.2251 d1.dn_loss_iou: 0.2948 d2.dn_loss_cls: 0.1320 d2.dn_loss_bbox: 0.1984 d2.dn_loss_iou: 0.2666 d3.dn_loss_cls: 0.1200 d3.dn_loss_bbox: 0.1907 d3.dn_loss_iou: 0.2572 d4.dn_loss_cls: 0.1139 d4.dn_loss_bbox: 0.1903 d4.dn_loss_iou: 0.2562 d1.loss_lmm_region: 0.1896 loss_lmm_image: 0.8734 2024/11/03 00:31:04 - mmengine - INFO - Iter(train) [ 42900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:31:45 time: 0.9796 data_time: 0.0177 memory: 20810 grad_norm: 26.9580 loss: 10.2736 loss_cls: 0.3042 loss_bbox: 0.1511 loss_iou: 0.2829 d0.loss_cls: 0.3478 d0.loss_bbox: 0.1568 d0.loss_iou: 0.2971 d1.loss_cls: 0.3271 d1.loss_bbox: 0.1586 d1.loss_iou: 0.2922 d2.loss_cls: 0.3230 d2.loss_bbox: 0.1506 d2.loss_iou: 0.2834 d3.loss_cls: 0.3140 d3.loss_bbox: 0.1485 d3.loss_iou: 0.2829 d4.loss_cls: 0.3052 d4.loss_bbox: 0.1515 d4.loss_iou: 0.2834 enc_loss_cls: 0.3628 enc_loss_bbox: 0.1682 enc_loss_iou: 0.3155 dn_loss_cls: 0.1334 dn_loss_bbox: 0.1762 dn_loss_iou: 0.2298 d0.dn_loss_cls: 0.2369 d0.dn_loss_bbox: 0.3353 d0.dn_loss_iou: 0.3793 d1.dn_loss_cls: 0.1671 d1.dn_loss_bbox: 0.2156 d1.dn_loss_iou: 0.2628 d2.dn_loss_cls: 0.1477 d2.dn_loss_bbox: 0.1880 d2.dn_loss_iou: 0.2390 d3.dn_loss_cls: 0.1380 d3.dn_loss_bbox: 0.1778 d3.dn_loss_iou: 0.2313 d4.dn_loss_cls: 0.1326 d4.dn_loss_bbox: 0.1762 d4.dn_loss_iou: 0.2299 d1.loss_lmm_region: 0.1934 loss_lmm_image: 0.8767 2024/11/03 00:32:42 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 00:32:42 - mmengine - INFO - Iter(train) [ 43000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:30:05 time: 0.9776 data_time: 0.0178 memory: 21188 grad_norm: 21.7209 loss: 10.5339 loss_cls: 0.3414 loss_bbox: 0.1694 loss_iou: 0.3058 d0.loss_cls: 0.3734 d0.loss_bbox: 0.1911 d0.loss_iou: 0.3248 d1.loss_cls: 0.3558 d1.loss_bbox: 0.1744 d1.loss_iou: 0.3100 d2.loss_cls: 0.3452 d2.loss_bbox: 0.1748 d2.loss_iou: 0.3068 d3.loss_cls: 0.3449 d3.loss_bbox: 0.1680 d3.loss_iou: 0.3032 d4.loss_cls: 0.3397 d4.loss_bbox: 0.1711 d4.loss_iou: 0.3054 enc_loss_cls: 0.3833 enc_loss_bbox: 0.2062 enc_loss_iou: 0.3471 dn_loss_cls: 0.0961 dn_loss_bbox: 0.1836 dn_loss_iou: 0.2398 d0.dn_loss_cls: 0.1717 d0.dn_loss_bbox: 0.3361 d0.dn_loss_iou: 0.3929 d1.dn_loss_cls: 0.1194 d1.dn_loss_bbox: 0.2147 d1.dn_loss_iou: 0.2741 d2.dn_loss_cls: 0.1069 d2.dn_loss_bbox: 0.1903 d2.dn_loss_iou: 0.2492 d3.dn_loss_cls: 0.0985 d3.dn_loss_bbox: 0.1853 d3.dn_loss_iou: 0.2419 d4.dn_loss_cls: 0.0962 d4.dn_loss_bbox: 0.1836 d4.dn_loss_iou: 0.2398 d1.loss_lmm_region: 0.1364 loss_lmm_image: 0.8354 2024/11/03 00:34:20 - mmengine - INFO - Iter(train) [ 43100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:28:21 time: 0.9796 data_time: 0.0176 memory: 20456 grad_norm: 21.6361 loss: 9.2326 loss_cls: 0.2755 loss_bbox: 0.1321 loss_iou: 0.2426 d0.loss_cls: 0.3078 d0.loss_bbox: 0.1389 d0.loss_iou: 0.2546 d1.loss_cls: 0.2866 d1.loss_bbox: 0.1376 d1.loss_iou: 0.2464 d2.loss_cls: 0.2820 d2.loss_bbox: 0.1343 d2.loss_iou: 0.2436 d3.loss_cls: 0.2793 d3.loss_bbox: 0.1325 d3.loss_iou: 0.2420 d4.loss_cls: 0.2763 d4.loss_bbox: 0.1316 d4.loss_iou: 0.2427 enc_loss_cls: 0.3284 enc_loss_bbox: 0.1448 enc_loss_iou: 0.2686 dn_loss_cls: 0.0968 dn_loss_bbox: 0.1688 dn_loss_iou: 0.2285 d0.dn_loss_cls: 0.1858 d0.dn_loss_bbox: 0.3133 d0.dn_loss_iou: 0.3810 d1.dn_loss_cls: 0.1314 d1.dn_loss_bbox: 0.1975 d1.dn_loss_iou: 0.2586 d2.dn_loss_cls: 0.1139 d2.dn_loss_bbox: 0.1752 d2.dn_loss_iou: 0.2363 d3.dn_loss_cls: 0.1027 d3.dn_loss_bbox: 0.1704 d3.dn_loss_iou: 0.2299 d4.dn_loss_cls: 0.0975 d4.dn_loss_bbox: 0.1689 d4.dn_loss_iou: 0.2285 d1.loss_lmm_region: 0.1691 loss_lmm_image: 0.8502 2024/11/03 00:35:59 - mmengine - INFO - Iter(train) [ 43200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:26:41 time: 0.9892 data_time: 0.0175 memory: 21093 grad_norm: 20.7862 loss: 9.7284 loss_cls: 0.2716 loss_bbox: 0.1628 loss_iou: 0.2540 d0.loss_cls: 0.3049 d0.loss_bbox: 0.1741 d0.loss_iou: 0.2686 d1.loss_cls: 0.2863 d1.loss_bbox: 0.1709 d1.loss_iou: 0.2610 d2.loss_cls: 0.2815 d2.loss_bbox: 0.1657 d2.loss_iou: 0.2549 d3.loss_cls: 0.2800 d3.loss_bbox: 0.1603 d3.loss_iou: 0.2543 d4.loss_cls: 0.2726 d4.loss_bbox: 0.1634 d4.loss_iou: 0.2547 enc_loss_cls: 0.3196 enc_loss_bbox: 0.1869 enc_loss_iou: 0.2899 dn_loss_cls: 0.0820 dn_loss_bbox: 0.2016 dn_loss_iou: 0.2438 d0.dn_loss_cls: 0.1803 d0.dn_loss_bbox: 0.3611 d0.dn_loss_iou: 0.3956 d1.dn_loss_cls: 0.1160 d1.dn_loss_bbox: 0.2400 d1.dn_loss_iou: 0.2780 d2.dn_loss_cls: 0.0976 d2.dn_loss_bbox: 0.2145 d2.dn_loss_iou: 0.2536 d3.dn_loss_cls: 0.0876 d3.dn_loss_bbox: 0.2034 d3.dn_loss_iou: 0.2455 d4.dn_loss_cls: 0.0826 d4.dn_loss_bbox: 0.2016 d4.dn_loss_iou: 0.2436 d1.loss_lmm_region: 0.1461 loss_lmm_image: 0.8158 2024/11/03 00:37:36 - mmengine - INFO - Iter(train) [ 43300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:24:57 time: 0.9815 data_time: 0.0175 memory: 20455 grad_norm: 22.1639 loss: 8.5743 loss_cls: 0.2642 loss_bbox: 0.1113 loss_iou: 0.2102 d0.loss_cls: 0.3108 d0.loss_bbox: 0.1260 d0.loss_iou: 0.2276 d1.loss_cls: 0.2864 d1.loss_bbox: 0.1176 d1.loss_iou: 0.2213 d2.loss_cls: 0.2776 d2.loss_bbox: 0.1138 d2.loss_iou: 0.2158 d3.loss_cls: 0.2719 d3.loss_bbox: 0.1105 d3.loss_iou: 0.2100 d4.loss_cls: 0.2666 d4.loss_bbox: 0.1111 d4.loss_iou: 0.2096 enc_loss_cls: 0.3122 enc_loss_bbox: 0.1475 enc_loss_iou: 0.2587 dn_loss_cls: 0.0751 dn_loss_bbox: 0.1587 dn_loss_iou: 0.2023 d0.dn_loss_cls: 0.1624 d0.dn_loss_bbox: 0.3066 d0.dn_loss_iou: 0.3492 d1.dn_loss_cls: 0.1076 d1.dn_loss_bbox: 0.1945 d1.dn_loss_iou: 0.2376 d2.dn_loss_cls: 0.0879 d2.dn_loss_bbox: 0.1717 d2.dn_loss_iou: 0.2130 d3.dn_loss_cls: 0.0782 d3.dn_loss_bbox: 0.1606 d3.dn_loss_iou: 0.2040 d4.dn_loss_cls: 0.0754 d4.dn_loss_bbox: 0.1586 d4.dn_loss_iou: 0.2022 d1.loss_lmm_region: 0.1392 loss_lmm_image: 0.9087 2024/11/03 00:39:14 - mmengine - INFO - Iter(train) [ 43400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:23:15 time: 0.9792 data_time: 0.0177 memory: 20730 grad_norm: 22.1777 loss: 10.0149 loss_cls: 0.3145 loss_bbox: 0.1446 loss_iou: 0.2484 d0.loss_cls: 0.3540 d0.loss_bbox: 0.1587 d0.loss_iou: 0.2621 d1.loss_cls: 0.3281 d1.loss_bbox: 0.1567 d1.loss_iou: 0.2550 d2.loss_cls: 0.3190 d2.loss_bbox: 0.1509 d2.loss_iou: 0.2520 d3.loss_cls: 0.3164 d3.loss_bbox: 0.1468 d3.loss_iou: 0.2500 d4.loss_cls: 0.3176 d4.loss_bbox: 0.1432 d4.loss_iou: 0.2475 enc_loss_cls: 0.3659 enc_loss_bbox: 0.1766 enc_loss_iou: 0.2844 dn_loss_cls: 0.1005 dn_loss_bbox: 0.1977 dn_loss_iou: 0.2350 d0.dn_loss_cls: 0.1923 d0.dn_loss_bbox: 0.3653 d0.dn_loss_iou: 0.3869 d1.dn_loss_cls: 0.1327 d1.dn_loss_bbox: 0.2333 d1.dn_loss_iou: 0.2692 d2.dn_loss_cls: 0.1167 d2.dn_loss_bbox: 0.2098 d2.dn_loss_iou: 0.2450 d3.dn_loss_cls: 0.1045 d3.dn_loss_bbox: 0.1991 d3.dn_loss_iou: 0.2365 d4.dn_loss_cls: 0.1016 d4.dn_loss_bbox: 0.1977 d4.dn_loss_iou: 0.2352 d1.loss_lmm_region: 0.1653 loss_lmm_image: 0.8981 2024/11/03 00:40:52 - mmengine - INFO - Iter(train) [ 43500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:21:32 time: 0.9857 data_time: 0.0178 memory: 20343 grad_norm: 22.0032 loss: 10.4677 loss_cls: 0.3144 loss_bbox: 0.1838 loss_iou: 0.2933 d0.loss_cls: 0.3587 d0.loss_bbox: 0.1873 d0.loss_iou: 0.3070 d1.loss_cls: 0.3360 d1.loss_bbox: 0.1831 d1.loss_iou: 0.3002 d2.loss_cls: 0.3315 d2.loss_bbox: 0.1819 d2.loss_iou: 0.2927 d3.loss_cls: 0.3278 d3.loss_bbox: 0.1770 d3.loss_iou: 0.2906 d4.loss_cls: 0.3199 d4.loss_bbox: 0.1801 d4.loss_iou: 0.2905 enc_loss_cls: 0.3842 enc_loss_bbox: 0.2007 enc_loss_iou: 0.3251 dn_loss_cls: 0.0864 dn_loss_bbox: 0.2007 dn_loss_iou: 0.2394 d0.dn_loss_cls: 0.1728 d0.dn_loss_bbox: 0.3506 d0.dn_loss_iou: 0.3829 d1.dn_loss_cls: 0.1158 d1.dn_loss_bbox: 0.2362 d1.dn_loss_iou: 0.2746 d2.dn_loss_cls: 0.1014 d2.dn_loss_bbox: 0.2094 d2.dn_loss_iou: 0.2481 d3.dn_loss_cls: 0.0927 d3.dn_loss_bbox: 0.2022 d3.dn_loss_iou: 0.2406 d4.dn_loss_cls: 0.0886 d4.dn_loss_bbox: 0.2005 d4.dn_loss_iou: 0.2393 d1.loss_lmm_region: 0.1543 loss_lmm_image: 0.8653 2024/11/03 00:42:29 - mmengine - INFO - Iter(train) [ 43600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:19:48 time: 0.9646 data_time: 0.0177 memory: 19843 grad_norm: 22.0337 loss: 10.8712 loss_cls: 0.3144 loss_bbox: 0.1903 loss_iou: 0.2987 d0.loss_cls: 0.3517 d0.loss_bbox: 0.2022 d0.loss_iou: 0.3163 d1.loss_cls: 0.3351 d1.loss_bbox: 0.1887 d1.loss_iou: 0.3014 d2.loss_cls: 0.3274 d2.loss_bbox: 0.1884 d2.loss_iou: 0.3005 d3.loss_cls: 0.3204 d3.loss_bbox: 0.1881 d3.loss_iou: 0.2981 d4.loss_cls: 0.3153 d4.loss_bbox: 0.1883 d4.loss_iou: 0.2972 enc_loss_cls: 0.3714 enc_loss_bbox: 0.2044 enc_loss_iou: 0.3301 dn_loss_cls: 0.1075 dn_loss_bbox: 0.2193 dn_loss_iou: 0.2533 d0.dn_loss_cls: 0.1964 d0.dn_loss_bbox: 0.3792 d0.dn_loss_iou: 0.4066 d1.dn_loss_cls: 0.1414 d1.dn_loss_bbox: 0.2516 d1.dn_loss_iou: 0.2864 d2.dn_loss_cls: 0.1233 d2.dn_loss_bbox: 0.2281 d2.dn_loss_iou: 0.2614 d3.dn_loss_cls: 0.1121 d3.dn_loss_bbox: 0.2206 d3.dn_loss_iou: 0.2545 d4.dn_loss_cls: 0.1083 d4.dn_loss_bbox: 0.2191 d4.dn_loss_iou: 0.2531 d1.loss_lmm_region: 0.1681 loss_lmm_image: 0.8524 2024/11/03 00:44:08 - mmengine - INFO - Iter(train) [ 43700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:18:07 time: 0.9783 data_time: 0.0176 memory: 20865 grad_norm: 21.5809 loss: 9.0623 loss_cls: 0.2734 loss_bbox: 0.1210 loss_iou: 0.2231 d0.loss_cls: 0.3018 d0.loss_bbox: 0.1333 d0.loss_iou: 0.2384 d1.loss_cls: 0.2939 d1.loss_bbox: 0.1270 d1.loss_iou: 0.2283 d2.loss_cls: 0.2816 d2.loss_bbox: 0.1270 d2.loss_iou: 0.2274 d3.loss_cls: 0.2795 d3.loss_bbox: 0.1194 d3.loss_iou: 0.2242 d4.loss_cls: 0.2730 d4.loss_bbox: 0.1218 d4.loss_iou: 0.2232 enc_loss_cls: 0.3209 enc_loss_bbox: 0.1487 enc_loss_iou: 0.2574 dn_loss_cls: 0.1164 dn_loss_bbox: 0.1641 dn_loss_iou: 0.2148 d0.dn_loss_cls: 0.1893 d0.dn_loss_bbox: 0.3245 d0.dn_loss_iou: 0.3693 d1.dn_loss_cls: 0.1430 d1.dn_loss_bbox: 0.1986 d1.dn_loss_iou: 0.2481 d2.dn_loss_cls: 0.1282 d2.dn_loss_bbox: 0.1741 d2.dn_loss_iou: 0.2237 d3.dn_loss_cls: 0.1184 d3.dn_loss_bbox: 0.1655 d3.dn_loss_iou: 0.2161 d4.dn_loss_cls: 0.1159 d4.dn_loss_bbox: 0.1642 d4.dn_loss_iou: 0.2148 d1.loss_lmm_region: 0.1553 loss_lmm_image: 0.8736 2024/11/03 00:45:46 - mmengine - INFO - Iter(train) [ 43800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:16:25 time: 0.9809 data_time: 0.0177 memory: 20663 grad_norm: 23.2929 loss: 10.3474 loss_cls: 0.3152 loss_bbox: 0.1535 loss_iou: 0.3020 d0.loss_cls: 0.3360 d0.loss_bbox: 0.1768 d0.loss_iou: 0.3221 d1.loss_cls: 0.3276 d1.loss_bbox: 0.1593 d1.loss_iou: 0.3079 d2.loss_cls: 0.3235 d2.loss_bbox: 0.1573 d2.loss_iou: 0.3037 d3.loss_cls: 0.3203 d3.loss_bbox: 0.1506 d3.loss_iou: 0.2977 d4.loss_cls: 0.3141 d4.loss_bbox: 0.1546 d4.loss_iou: 0.3020 enc_loss_cls: 0.3460 enc_loss_bbox: 0.1876 enc_loss_iou: 0.3436 dn_loss_cls: 0.0935 dn_loss_bbox: 0.1938 dn_loss_iou: 0.2497 d0.dn_loss_cls: 0.1745 d0.dn_loss_bbox: 0.3602 d0.dn_loss_iou: 0.4083 d1.dn_loss_cls: 0.1209 d1.dn_loss_bbox: 0.2303 d1.dn_loss_iou: 0.2865 d2.dn_loss_cls: 0.1052 d2.dn_loss_bbox: 0.2034 d2.dn_loss_iou: 0.2601 d3.dn_loss_cls: 0.0983 d3.dn_loss_bbox: 0.1948 d3.dn_loss_iou: 0.2514 d4.dn_loss_cls: 0.0936 d4.dn_loss_bbox: 0.1938 d4.dn_loss_iou: 0.2497 d1.loss_lmm_region: 0.1630 loss_lmm_image: 0.8152 2024/11/03 00:47:24 - mmengine - INFO - Iter(train) [ 43900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:14:44 time: 0.9837 data_time: 0.0177 memory: 20606 grad_norm: 20.5866 loss: 10.6628 loss_cls: 0.3430 loss_bbox: 0.1629 loss_iou: 0.3002 d0.loss_cls: 0.3819 d0.loss_bbox: 0.1741 d0.loss_iou: 0.3174 d1.loss_cls: 0.3617 d1.loss_bbox: 0.1697 d1.loss_iou: 0.3092 d2.loss_cls: 0.3514 d2.loss_bbox: 0.1675 d2.loss_iou: 0.3019 d3.loss_cls: 0.3485 d3.loss_bbox: 0.1636 d3.loss_iou: 0.2995 d4.loss_cls: 0.3440 d4.loss_bbox: 0.1645 d4.loss_iou: 0.2998 enc_loss_cls: 0.4001 enc_loss_bbox: 0.1871 enc_loss_iou: 0.3373 dn_loss_cls: 0.1065 dn_loss_bbox: 0.1809 dn_loss_iou: 0.2388 d0.dn_loss_cls: 0.2001 d0.dn_loss_bbox: 0.3437 d0.dn_loss_iou: 0.4013 d1.dn_loss_cls: 0.1399 d1.dn_loss_bbox: 0.2214 d1.dn_loss_iou: 0.2786 d2.dn_loss_cls: 0.1210 d2.dn_loss_bbox: 0.1933 d2.dn_loss_iou: 0.2500 d3.dn_loss_cls: 0.1099 d3.dn_loss_bbox: 0.1826 d3.dn_loss_iou: 0.2410 d4.dn_loss_cls: 0.1057 d4.dn_loss_bbox: 0.1809 d4.dn_loss_iou: 0.2388 d1.loss_lmm_region: 0.1605 loss_lmm_image: 0.8824 2024/11/03 00:49:03 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 00:49:03 - mmengine - INFO - Iter(train) [ 44000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:13:04 time: 0.9880 data_time: 0.0177 memory: 22584 grad_norm: 20.7994 loss: 10.1149 loss_cls: 0.3320 loss_bbox: 0.1566 loss_iou: 0.2957 d0.loss_cls: 0.3732 d0.loss_bbox: 0.1727 d0.loss_iou: 0.3198 d1.loss_cls: 0.3512 d1.loss_bbox: 0.1609 d1.loss_iou: 0.3054 d2.loss_cls: 0.3412 d2.loss_bbox: 0.1567 d2.loss_iou: 0.2981 d3.loss_cls: 0.3408 d3.loss_bbox: 0.1544 d3.loss_iou: 0.2947 d4.loss_cls: 0.3338 d4.loss_bbox: 0.1570 d4.loss_iou: 0.2963 enc_loss_cls: 0.3950 enc_loss_bbox: 0.1827 enc_loss_iou: 0.3379 dn_loss_cls: 0.0834 dn_loss_bbox: 0.1713 dn_loss_iou: 0.2242 d0.dn_loss_cls: 0.1709 d0.dn_loss_bbox: 0.3037 d0.dn_loss_iou: 0.3675 d1.dn_loss_cls: 0.1173 d1.dn_loss_bbox: 0.2011 d1.dn_loss_iou: 0.2565 d2.dn_loss_cls: 0.0964 d2.dn_loss_bbox: 0.1789 d2.dn_loss_iou: 0.2335 d3.dn_loss_cls: 0.0872 d3.dn_loss_bbox: 0.1723 d3.dn_loss_iou: 0.2254 d4.dn_loss_cls: 0.0832 d4.dn_loss_bbox: 0.1714 d4.dn_loss_iou: 0.2240 d1.loss_lmm_region: 0.1487 loss_lmm_image: 0.8419 2024/11/03 00:50:42 - mmengine - INFO - Iter(train) [ 44100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:11:24 time: 0.9851 data_time: 0.0177 memory: 20471 grad_norm: 22.4624 loss: 9.7469 loss_cls: 0.2937 loss_bbox: 0.1386 loss_iou: 0.2555 d0.loss_cls: 0.3227 d0.loss_bbox: 0.1547 d0.loss_iou: 0.2723 d1.loss_cls: 0.3103 d1.loss_bbox: 0.1484 d1.loss_iou: 0.2662 d2.loss_cls: 0.3009 d2.loss_bbox: 0.1429 d2.loss_iou: 0.2584 d3.loss_cls: 0.2957 d3.loss_bbox: 0.1422 d3.loss_iou: 0.2574 d4.loss_cls: 0.2942 d4.loss_bbox: 0.1400 d4.loss_iou: 0.2565 enc_loss_cls: 0.3387 enc_loss_bbox: 0.1711 enc_loss_iou: 0.2957 dn_loss_cls: 0.0894 dn_loss_bbox: 0.1909 dn_loss_iou: 0.2382 d0.dn_loss_cls: 0.1795 d0.dn_loss_bbox: 0.3465 d0.dn_loss_iou: 0.3881 d1.dn_loss_cls: 0.1190 d1.dn_loss_bbox: 0.2246 d1.dn_loss_iou: 0.2732 d2.dn_loss_cls: 0.1031 d2.dn_loss_bbox: 0.1988 d2.dn_loss_iou: 0.2464 d3.dn_loss_cls: 0.0938 d3.dn_loss_bbox: 0.1929 d3.dn_loss_iou: 0.2400 d4.dn_loss_cls: 0.0901 d4.dn_loss_bbox: 0.1910 d4.dn_loss_iou: 0.2382 d1.loss_lmm_region: 0.1851 loss_lmm_image: 0.8623 2024/11/03 00:52:22 - mmengine - INFO - Iter(train) [ 44200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:09:45 time: 0.9887 data_time: 0.0176 memory: 21435 grad_norm: 23.2437 loss: 10.4422 loss_cls: 0.3454 loss_bbox: 0.1574 loss_iou: 0.2690 d0.loss_cls: 0.3775 d0.loss_bbox: 0.1755 d0.loss_iou: 0.2903 d1.loss_cls: 0.3592 d1.loss_bbox: 0.1629 d1.loss_iou: 0.2775 d2.loss_cls: 0.3585 d2.loss_bbox: 0.1560 d2.loss_iou: 0.2701 d3.loss_cls: 0.3510 d3.loss_bbox: 0.1603 d3.loss_iou: 0.2708 d4.loss_cls: 0.3485 d4.loss_bbox: 0.1555 d4.loss_iou: 0.2684 enc_loss_cls: 0.3914 enc_loss_bbox: 0.1819 enc_loss_iou: 0.3060 dn_loss_cls: 0.1291 dn_loss_bbox: 0.1740 dn_loss_iou: 0.2249 d0.dn_loss_cls: 0.2222 d0.dn_loss_bbox: 0.3342 d0.dn_loss_iou: 0.3807 d1.dn_loss_cls: 0.1749 d1.dn_loss_bbox: 0.2158 d1.dn_loss_iou: 0.2599 d2.dn_loss_cls: 0.1504 d2.dn_loss_bbox: 0.1825 d2.dn_loss_iou: 0.2334 d3.dn_loss_cls: 0.1406 d3.dn_loss_bbox: 0.1747 d3.dn_loss_iou: 0.2256 d4.dn_loss_cls: 0.1316 d4.dn_loss_bbox: 0.1739 d4.dn_loss_iou: 0.2248 d1.loss_lmm_region: 0.1741 loss_lmm_image: 0.8819 2024/11/03 00:53:59 - mmengine - INFO - Iter(train) [ 44300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:08:01 time: 0.9705 data_time: 0.0176 memory: 20607 grad_norm: 21.5339 loss: 9.2746 loss_cls: 0.2495 loss_bbox: 0.1438 loss_iou: 0.2457 d0.loss_cls: 0.2806 d0.loss_bbox: 0.1563 d0.loss_iou: 0.2566 d1.loss_cls: 0.2678 d1.loss_bbox: 0.1438 d1.loss_iou: 0.2441 d2.loss_cls: 0.2545 d2.loss_bbox: 0.1459 d2.loss_iou: 0.2473 d3.loss_cls: 0.2531 d3.loss_bbox: 0.1441 d3.loss_iou: 0.2455 d4.loss_cls: 0.2507 d4.loss_bbox: 0.1440 d4.loss_iou: 0.2457 enc_loss_cls: 0.3055 enc_loss_bbox: 0.1655 enc_loss_iou: 0.2765 dn_loss_cls: 0.0855 dn_loss_bbox: 0.1793 dn_loss_iou: 0.2411 d0.dn_loss_cls: 0.1825 d0.dn_loss_bbox: 0.3268 d0.dn_loss_iou: 0.3953 d1.dn_loss_cls: 0.1232 d1.dn_loss_bbox: 0.2153 d1.dn_loss_iou: 0.2751 d2.dn_loss_cls: 0.1039 d2.dn_loss_bbox: 0.1904 d2.dn_loss_iou: 0.2499 d3.dn_loss_cls: 0.0908 d3.dn_loss_bbox: 0.1817 d3.dn_loss_iou: 0.2427 d4.dn_loss_cls: 0.0857 d4.dn_loss_bbox: 0.1794 d4.dn_loss_iou: 0.2409 d1.loss_lmm_region: 0.1612 loss_lmm_image: 0.8574 2024/11/03 00:55:37 - mmengine - INFO - Iter(train) [ 44400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:06:20 time: 0.9806 data_time: 0.0176 memory: 22087 grad_norm: 23.0105 loss: 8.9188 loss_cls: 0.2596 loss_bbox: 0.1299 loss_iou: 0.2412 d0.loss_cls: 0.2946 d0.loss_bbox: 0.1404 d0.loss_iou: 0.2564 d1.loss_cls: 0.2798 d1.loss_bbox: 0.1272 d1.loss_iou: 0.2440 d2.loss_cls: 0.2693 d2.loss_bbox: 0.1270 d2.loss_iou: 0.2423 d3.loss_cls: 0.2661 d3.loss_bbox: 0.1266 d3.loss_iou: 0.2387 d4.loss_cls: 0.2617 d4.loss_bbox: 0.1275 d4.loss_iou: 0.2394 enc_loss_cls: 0.3113 enc_loss_bbox: 0.1535 enc_loss_iou: 0.2768 dn_loss_cls: 0.0898 dn_loss_bbox: 0.1530 dn_loss_iou: 0.2186 d0.dn_loss_cls: 0.1856 d0.dn_loss_bbox: 0.3078 d0.dn_loss_iou: 0.3747 d1.dn_loss_cls: 0.1256 d1.dn_loss_bbox: 0.1873 d1.dn_loss_iou: 0.2539 d2.dn_loss_cls: 0.1070 d2.dn_loss_bbox: 0.1638 d2.dn_loss_iou: 0.2286 d3.dn_loss_cls: 0.0967 d3.dn_loss_bbox: 0.1543 d3.dn_loss_iou: 0.2202 d4.dn_loss_cls: 0.0906 d4.dn_loss_bbox: 0.1531 d4.dn_loss_iou: 0.2185 d1.loss_lmm_region: 0.1532 loss_lmm_image: 0.8231 2024/11/03 00:57:15 - mmengine - INFO - Iter(train) [ 44500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:04:37 time: 0.9722 data_time: 0.0176 memory: 20852 grad_norm: nan loss: 9.9824 loss_cls: 0.3144 loss_bbox: 0.1555 loss_iou: 0.2662 d0.loss_cls: 0.3654 d0.loss_bbox: 0.1612 d0.loss_iou: 0.2790 d1.loss_cls: 0.3390 d1.loss_bbox: 0.1615 d1.loss_iou: 0.2763 d2.loss_cls: 0.3311 d2.loss_bbox: 0.1525 d2.loss_iou: 0.2678 d3.loss_cls: 0.3226 d3.loss_bbox: 0.1549 d3.loss_iou: 0.2637 d4.loss_cls: 0.3168 d4.loss_bbox: 0.1545 d4.loss_iou: 0.2659 enc_loss_cls: 0.3788 enc_loss_bbox: 0.1762 enc_loss_iou: 0.3019 dn_loss_cls: 0.0977 dn_loss_bbox: 0.1762 dn_loss_iou: 0.2306 d0.dn_loss_cls: 0.2028 d0.dn_loss_bbox: 0.3394 d0.dn_loss_iou: 0.3862 d1.dn_loss_cls: 0.1411 d1.dn_loss_bbox: 0.2093 d1.dn_loss_iou: 0.2645 d2.dn_loss_cls: 0.1228 d2.dn_loss_bbox: 0.1841 d2.dn_loss_iou: 0.2395 d3.dn_loss_cls: 0.1045 d3.dn_loss_bbox: 0.1770 d3.dn_loss_iou: 0.2321 d4.dn_loss_cls: 0.0978 d4.dn_loss_bbox: 0.1763 d4.dn_loss_iou: 0.2305 d1.loss_lmm_region: 0.1689 loss_lmm_image: 0.7961 2024/11/03 00:58:53 - mmengine - INFO - Iter(train) [ 44600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:02:54 time: 0.9725 data_time: 0.0179 memory: 20772 grad_norm: 22.2390 loss: 10.7650 loss_cls: 0.3550 loss_bbox: 0.1744 loss_iou: 0.3063 d0.loss_cls: 0.4023 d0.loss_bbox: 0.1820 d0.loss_iou: 0.3257 d1.loss_cls: 0.3817 d1.loss_bbox: 0.1744 d1.loss_iou: 0.3096 d2.loss_cls: 0.3714 d2.loss_bbox: 0.1715 d2.loss_iou: 0.3035 d3.loss_cls: 0.3666 d3.loss_bbox: 0.1698 d3.loss_iou: 0.3041 d4.loss_cls: 0.3585 d4.loss_bbox: 0.1715 d4.loss_iou: 0.3041 enc_loss_cls: 0.4175 enc_loss_bbox: 0.2004 enc_loss_iou: 0.3518 dn_loss_cls: 0.0928 dn_loss_bbox: 0.1853 dn_loss_iou: 0.2357 d0.dn_loss_cls: 0.1860 d0.dn_loss_bbox: 0.3368 d0.dn_loss_iou: 0.3846 d1.dn_loss_cls: 0.1264 d1.dn_loss_bbox: 0.2169 d1.dn_loss_iou: 0.2686 d2.dn_loss_cls: 0.1087 d2.dn_loss_bbox: 0.1939 d2.dn_loss_iou: 0.2442 d3.dn_loss_cls: 0.0989 d3.dn_loss_bbox: 0.1864 d3.dn_loss_iou: 0.2370 d4.dn_loss_cls: 0.0927 d4.dn_loss_bbox: 0.1855 d4.dn_loss_iou: 0.2358 d1.loss_lmm_region: 0.1730 loss_lmm_image: 0.8736 2024/11/03 01:00:30 - mmengine - INFO - Iter(train) [ 44700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:01:11 time: 0.9824 data_time: 0.0177 memory: 20026 grad_norm: 24.7829 loss: 9.2081 loss_cls: 0.2968 loss_bbox: 0.1364 loss_iou: 0.2267 d0.loss_cls: 0.3313 d0.loss_bbox: 0.1496 d0.loss_iou: 0.2424 d1.loss_cls: 0.3146 d1.loss_bbox: 0.1395 d1.loss_iou: 0.2325 d2.loss_cls: 0.3174 d2.loss_bbox: 0.1343 d2.loss_iou: 0.2279 d3.loss_cls: 0.3118 d3.loss_bbox: 0.1320 d3.loss_iou: 0.2249 d4.loss_cls: 0.3013 d4.loss_bbox: 0.1345 d4.loss_iou: 0.2272 enc_loss_cls: 0.3479 enc_loss_bbox: 0.1651 enc_loss_iou: 0.2640 dn_loss_cls: 0.0938 dn_loss_bbox: 0.1637 dn_loss_iou: 0.2029 d0.dn_loss_cls: 0.1811 d0.dn_loss_bbox: 0.3290 d0.dn_loss_iou: 0.3676 d1.dn_loss_cls: 0.1258 d1.dn_loss_bbox: 0.1982 d1.dn_loss_iou: 0.2389 d2.dn_loss_cls: 0.1076 d2.dn_loss_bbox: 0.1745 d2.dn_loss_iou: 0.2132 d3.dn_loss_cls: 0.0991 d3.dn_loss_bbox: 0.1655 d3.dn_loss_iou: 0.2048 d4.dn_loss_cls: 0.0944 d4.dn_loss_bbox: 0.1637 d4.dn_loss_iou: 0.2029 d1.loss_lmm_region: 0.1718 loss_lmm_image: 0.8515 2024/11/03 01:02:09 - mmengine - INFO - Iter(train) [ 44800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:59:30 time: 0.9707 data_time: 0.0176 memory: 20406 grad_norm: 26.5080 loss: 9.7387 loss_cls: 0.2955 loss_bbox: 0.1496 loss_iou: 0.2782 d0.loss_cls: 0.3333 d0.loss_bbox: 0.1676 d0.loss_iou: 0.3001 d1.loss_cls: 0.3197 d1.loss_bbox: 0.1555 d1.loss_iou: 0.2841 d2.loss_cls: 0.3083 d2.loss_bbox: 0.1513 d2.loss_iou: 0.2818 d3.loss_cls: 0.3013 d3.loss_bbox: 0.1477 d3.loss_iou: 0.2772 d4.loss_cls: 0.2969 d4.loss_bbox: 0.1499 d4.loss_iou: 0.2793 enc_loss_cls: 0.3457 enc_loss_bbox: 0.1787 enc_loss_iou: 0.3202 dn_loss_cls: 0.0828 dn_loss_bbox: 0.1757 dn_loss_iou: 0.2332 d0.dn_loss_cls: 0.1745 d0.dn_loss_bbox: 0.3266 d0.dn_loss_iou: 0.3785 d1.dn_loss_cls: 0.1161 d1.dn_loss_bbox: 0.2029 d1.dn_loss_iou: 0.2622 d2.dn_loss_cls: 0.0995 d2.dn_loss_bbox: 0.1810 d2.dn_loss_iou: 0.2406 d3.dn_loss_cls: 0.0871 d3.dn_loss_bbox: 0.1756 d3.dn_loss_iou: 0.2338 d4.dn_loss_cls: 0.0840 d4.dn_loss_bbox: 0.1758 d4.dn_loss_iou: 0.2331 d1.loss_lmm_region: 0.1476 loss_lmm_image: 0.8063 2024/11/03 01:03:48 - mmengine - INFO - Iter(train) [ 44900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:57:51 time: 0.9893 data_time: 0.0177 memory: 20960 grad_norm: 22.3833 loss: 9.7486 loss_cls: 0.3184 loss_bbox: 0.1399 loss_iou: 0.2247 d0.loss_cls: 0.3651 d0.loss_bbox: 0.1559 d0.loss_iou: 0.2473 d1.loss_cls: 0.3426 d1.loss_bbox: 0.1441 d1.loss_iou: 0.2331 d2.loss_cls: 0.3326 d2.loss_bbox: 0.1433 d2.loss_iou: 0.2260 d3.loss_cls: 0.3250 d3.loss_bbox: 0.1409 d3.loss_iou: 0.2244 d4.loss_cls: 0.3190 d4.loss_bbox: 0.1398 d4.loss_iou: 0.2247 enc_loss_cls: 0.3884 enc_loss_bbox: 0.1667 enc_loss_iou: 0.2650 dn_loss_cls: 0.1011 dn_loss_bbox: 0.2063 dn_loss_iou: 0.2155 d0.dn_loss_cls: 0.1780 d0.dn_loss_bbox: 0.3788 d0.dn_loss_iou: 0.3713 d1.dn_loss_cls: 0.1257 d1.dn_loss_bbox: 0.2450 d1.dn_loss_iou: 0.2516 d2.dn_loss_cls: 0.1119 d2.dn_loss_bbox: 0.2144 d2.dn_loss_iou: 0.2252 d3.dn_loss_cls: 0.1036 d3.dn_loss_bbox: 0.2066 d3.dn_loss_iou: 0.2170 d4.dn_loss_cls: 0.1017 d4.dn_loss_bbox: 0.2063 d4.dn_loss_iou: 0.2155 d1.loss_lmm_region: 0.1503 loss_lmm_image: 0.8560 2024/11/03 01:05:25 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 01:05:25 - mmengine - INFO - Iter(train) [ 45000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:56:07 time: 0.9752 data_time: 0.0177 memory: 20607 grad_norm: 20.9754 loss: 9.6309 loss_cls: 0.2729 loss_bbox: 0.1426 loss_iou: 0.2624 d0.loss_cls: 0.2997 d0.loss_bbox: 0.1597 d0.loss_iou: 0.2807 d1.loss_cls: 0.2912 d1.loss_bbox: 0.1461 d1.loss_iou: 0.2667 d2.loss_cls: 0.2853 d2.loss_bbox: 0.1390 d2.loss_iou: 0.2605 d3.loss_cls: 0.2799 d3.loss_bbox: 0.1403 d3.loss_iou: 0.2604 d4.loss_cls: 0.2763 d4.loss_bbox: 0.1408 d4.loss_iou: 0.2616 enc_loss_cls: 0.3230 enc_loss_bbox: 0.1681 enc_loss_iou: 0.2986 dn_loss_cls: 0.1009 dn_loss_bbox: 0.1756 dn_loss_iou: 0.2420 d0.dn_loss_cls: 0.1829 d0.dn_loss_bbox: 0.3360 d0.dn_loss_iou: 0.3934 d1.dn_loss_cls: 0.1305 d1.dn_loss_bbox: 0.2084 d1.dn_loss_iou: 0.2738 d2.dn_loss_cls: 0.1156 d2.dn_loss_bbox: 0.1844 d2.dn_loss_iou: 0.2512 d3.dn_loss_cls: 0.1071 d3.dn_loss_bbox: 0.1768 d3.dn_loss_iou: 0.2440 d4.dn_loss_cls: 0.1019 d4.dn_loss_bbox: 0.1758 d4.dn_loss_iou: 0.2421 d1.loss_lmm_region: 0.1653 loss_lmm_image: 0.8673 2024/11/03 01:07:04 - mmengine - INFO - Iter(train) [ 45100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:54:26 time: 0.9717 data_time: 0.0176 memory: 21190 grad_norm: 22.8927 loss: 10.0347 loss_cls: 0.3173 loss_bbox: 0.1492 loss_iou: 0.2699 d0.loss_cls: 0.3508 d0.loss_bbox: 0.1613 d0.loss_iou: 0.2844 d1.loss_cls: 0.3351 d1.loss_bbox: 0.1571 d1.loss_iou: 0.2785 d2.loss_cls: 0.3289 d2.loss_bbox: 0.1513 d2.loss_iou: 0.2728 d3.loss_cls: 0.3246 d3.loss_bbox: 0.1501 d3.loss_iou: 0.2712 d4.loss_cls: 0.3197 d4.loss_bbox: 0.1492 d4.loss_iou: 0.2700 enc_loss_cls: 0.3663 enc_loss_bbox: 0.1789 enc_loss_iou: 0.3125 dn_loss_cls: 0.1171 dn_loss_bbox: 0.1665 dn_loss_iou: 0.2267 d0.dn_loss_cls: 0.1838 d0.dn_loss_bbox: 0.3178 d0.dn_loss_iou: 0.3771 d1.dn_loss_cls: 0.1449 d1.dn_loss_bbox: 0.2032 d1.dn_loss_iou: 0.2618 d2.dn_loss_cls: 0.1401 d2.dn_loss_bbox: 0.1763 d2.dn_loss_iou: 0.2366 d3.dn_loss_cls: 0.1280 d3.dn_loss_bbox: 0.1677 d3.dn_loss_iou: 0.2282 d4.dn_loss_cls: 0.1225 d4.dn_loss_bbox: 0.1665 d4.dn_loss_iou: 0.2268 d1.loss_lmm_region: 0.1628 loss_lmm_image: 0.8812 2024/11/03 01:08:42 - mmengine - INFO - Iter(train) [ 45200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:52:44 time: 0.9767 data_time: 0.0178 memory: 20913 grad_norm: 22.8212 loss: 9.2144 loss_cls: 0.3125 loss_bbox: 0.1202 loss_iou: 0.2544 d0.loss_cls: 0.3557 d0.loss_bbox: 0.1279 d0.loss_iou: 0.2698 d1.loss_cls: 0.3338 d1.loss_bbox: 0.1217 d1.loss_iou: 0.2613 d2.loss_cls: 0.3278 d2.loss_bbox: 0.1163 d2.loss_iou: 0.2533 d3.loss_cls: 0.3222 d3.loss_bbox: 0.1187 d3.loss_iou: 0.2530 d4.loss_cls: 0.3140 d4.loss_bbox: 0.1196 d4.loss_iou: 0.2539 enc_loss_cls: 0.3749 enc_loss_bbox: 0.1462 enc_loss_iou: 0.2942 dn_loss_cls: 0.0817 dn_loss_bbox: 0.1389 dn_loss_iou: 0.2119 d0.dn_loss_cls: 0.1682 d0.dn_loss_bbox: 0.2903 d0.dn_loss_iou: 0.3689 d1.dn_loss_cls: 0.1145 d1.dn_loss_bbox: 0.1698 d1.dn_loss_iou: 0.2483 d2.dn_loss_cls: 0.0991 d2.dn_loss_bbox: 0.1467 d2.dn_loss_iou: 0.2203 d3.dn_loss_cls: 0.0869 d3.dn_loss_bbox: 0.1404 d3.dn_loss_iou: 0.2134 d4.dn_loss_cls: 0.0821 d4.dn_loss_bbox: 0.1390 d4.dn_loss_iou: 0.2120 d1.loss_lmm_region: 0.1507 loss_lmm_image: 0.8798 2024/11/03 01:10:21 - mmengine - INFO - Iter(train) [ 45300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:51:04 time: 0.9811 data_time: 0.0179 memory: 20913 grad_norm: 21.4997 loss: 9.6522 loss_cls: 0.2884 loss_bbox: 0.1367 loss_iou: 0.2466 d0.loss_cls: 0.3269 d0.loss_bbox: 0.1503 d0.loss_iou: 0.2640 d1.loss_cls: 0.3073 d1.loss_bbox: 0.1414 d1.loss_iou: 0.2532 d2.loss_cls: 0.3003 d2.loss_bbox: 0.1378 d2.loss_iou: 0.2490 d3.loss_cls: 0.2962 d3.loss_bbox: 0.1358 d3.loss_iou: 0.2441 d4.loss_cls: 0.2908 d4.loss_bbox: 0.1363 d4.loss_iou: 0.2460 enc_loss_cls: 0.3441 enc_loss_bbox: 0.1640 enc_loss_iou: 0.2851 dn_loss_cls: 0.1024 dn_loss_bbox: 0.1865 dn_loss_iou: 0.2257 d0.dn_loss_cls: 0.1882 d0.dn_loss_bbox: 0.3587 d0.dn_loss_iou: 0.3758 d1.dn_loss_cls: 0.1349 d1.dn_loss_bbox: 0.2291 d1.dn_loss_iou: 0.2619 d2.dn_loss_cls: 0.1176 d2.dn_loss_bbox: 0.1972 d2.dn_loss_iou: 0.2357 d3.dn_loss_cls: 0.1100 d3.dn_loss_bbox: 0.1886 d3.dn_loss_iou: 0.2275 d4.dn_loss_cls: 0.1026 d4.dn_loss_bbox: 0.1865 d4.dn_loss_iou: 0.2256 d1.loss_lmm_region: 0.1622 loss_lmm_image: 0.8912 2024/11/03 01:11:59 - mmengine - INFO - Iter(train) [ 45400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:49:22 time: 0.9905 data_time: 0.0178 memory: 20728 grad_norm: 22.2635 loss: 10.9582 loss_cls: 0.3732 loss_bbox: 0.1675 loss_iou: 0.3117 d0.loss_cls: 0.4174 d0.loss_bbox: 0.1762 d0.loss_iou: 0.3302 d1.loss_cls: 0.3966 d1.loss_bbox: 0.1678 d1.loss_iou: 0.3205 d2.loss_cls: 0.3854 d2.loss_bbox: 0.1658 d2.loss_iou: 0.3147 d3.loss_cls: 0.3808 d3.loss_bbox: 0.1671 d3.loss_iou: 0.3119 d4.loss_cls: 0.3759 d4.loss_bbox: 0.1646 d4.loss_iou: 0.3092 enc_loss_cls: 0.4331 enc_loss_bbox: 0.2002 enc_loss_iou: 0.3659 dn_loss_cls: 0.1125 dn_loss_bbox: 0.1786 dn_loss_iou: 0.2365 d0.dn_loss_cls: 0.2034 d0.dn_loss_bbox: 0.3324 d0.dn_loss_iou: 0.3878 d1.dn_loss_cls: 0.1465 d1.dn_loss_bbox: 0.2119 d1.dn_loss_iou: 0.2688 d2.dn_loss_cls: 0.1285 d2.dn_loss_bbox: 0.1867 d2.dn_loss_iou: 0.2447 d3.dn_loss_cls: 0.1155 d3.dn_loss_bbox: 0.1792 d3.dn_loss_iou: 0.2381 d4.dn_loss_cls: 0.1127 d4.dn_loss_bbox: 0.1785 d4.dn_loss_iou: 0.2364 d1.loss_lmm_region: 0.1748 loss_lmm_image: 0.8490 2024/11/03 01:13:36 - mmengine - INFO - Iter(train) [ 45500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:47:39 time: 0.9775 data_time: 0.0177 memory: 21156 grad_norm: 20.4673 loss: 10.3142 loss_cls: 0.3157 loss_bbox: 0.1603 loss_iou: 0.3008 d0.loss_cls: 0.3477 d0.loss_bbox: 0.1736 d0.loss_iou: 0.3196 d1.loss_cls: 0.3392 d1.loss_bbox: 0.1612 d1.loss_iou: 0.3052 d2.loss_cls: 0.3265 d2.loss_bbox: 0.1615 d2.loss_iou: 0.3013 d3.loss_cls: 0.3209 d3.loss_bbox: 0.1593 d3.loss_iou: 0.2983 d4.loss_cls: 0.3161 d4.loss_bbox: 0.1609 d4.loss_iou: 0.3017 enc_loss_cls: 0.3657 enc_loss_bbox: 0.1835 enc_loss_iou: 0.3388 dn_loss_cls: 0.0913 dn_loss_bbox: 0.1802 dn_loss_iou: 0.2491 d0.dn_loss_cls: 0.1868 d0.dn_loss_bbox: 0.3369 d0.dn_loss_iou: 0.4092 d1.dn_loss_cls: 0.1244 d1.dn_loss_bbox: 0.2105 d1.dn_loss_iou: 0.2839 d2.dn_loss_cls: 0.1046 d2.dn_loss_bbox: 0.1887 d2.dn_loss_iou: 0.2590 d3.dn_loss_cls: 0.0961 d3.dn_loss_bbox: 0.1818 d3.dn_loss_iou: 0.2509 d4.dn_loss_cls: 0.0921 d4.dn_loss_bbox: 0.1801 d4.dn_loss_iou: 0.2489 d1.loss_lmm_region: 0.1576 loss_lmm_image: 0.8244 2024/11/03 01:15:15 - mmengine - INFO - Iter(train) [ 45600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:45:58 time: 0.9797 data_time: 0.0178 memory: 21355 grad_norm: 24.4604 loss: 11.3438 loss_cls: 0.3508 loss_bbox: 0.1956 loss_iou: 0.3155 d0.loss_cls: 0.3917 d0.loss_bbox: 0.2075 d0.loss_iou: 0.3349 d1.loss_cls: 0.3729 d1.loss_bbox: 0.1945 d1.loss_iou: 0.3180 d2.loss_cls: 0.3611 d2.loss_bbox: 0.1978 d2.loss_iou: 0.3180 d3.loss_cls: 0.3520 d3.loss_bbox: 0.1980 d3.loss_iou: 0.3183 d4.loss_cls: 0.3574 d4.loss_bbox: 0.1884 d4.loss_iou: 0.3129 enc_loss_cls: 0.4159 enc_loss_bbox: 0.2180 enc_loss_iou: 0.3514 dn_loss_cls: 0.1067 dn_loss_bbox: 0.2032 dn_loss_iou: 0.2587 d0.dn_loss_cls: 0.2113 d0.dn_loss_bbox: 0.3745 d0.dn_loss_iou: 0.4260 d1.dn_loss_cls: 0.1463 d1.dn_loss_bbox: 0.2426 d1.dn_loss_iou: 0.2956 d2.dn_loss_cls: 0.1252 d2.dn_loss_bbox: 0.2110 d2.dn_loss_iou: 0.2673 d3.dn_loss_cls: 0.1145 d3.dn_loss_bbox: 0.2054 d3.dn_loss_iou: 0.2606 d4.dn_loss_cls: 0.1076 d4.dn_loss_bbox: 0.2033 d4.dn_loss_iou: 0.2588 d1.loss_lmm_region: 0.1855 loss_lmm_image: 0.8691 2024/11/03 01:16:52 - mmengine - INFO - Iter(train) [ 45700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:44:14 time: 0.9611 data_time: 0.0177 memory: 21035 grad_norm: 22.7048 loss: 9.3979 loss_cls: 0.2899 loss_bbox: 0.1466 loss_iou: 0.2622 d0.loss_cls: 0.3260 d0.loss_bbox: 0.1689 d0.loss_iou: 0.2823 d1.loss_cls: 0.3088 d1.loss_bbox: 0.1538 d1.loss_iou: 0.2698 d2.loss_cls: 0.3002 d2.loss_bbox: 0.1493 d2.loss_iou: 0.2625 d3.loss_cls: 0.2968 d3.loss_bbox: 0.1427 d3.loss_iou: 0.2606 d4.loss_cls: 0.2922 d4.loss_bbox: 0.1451 d4.loss_iou: 0.2614 enc_loss_cls: 0.3426 enc_loss_bbox: 0.1889 enc_loss_iou: 0.3125 dn_loss_cls: 0.0853 dn_loss_bbox: 0.1618 dn_loss_iou: 0.2052 d0.dn_loss_cls: 0.1704 d0.dn_loss_bbox: 0.3226 d0.dn_loss_iou: 0.3517 d1.dn_loss_cls: 0.1181 d1.dn_loss_bbox: 0.1998 d1.dn_loss_iou: 0.2404 d2.dn_loss_cls: 0.0993 d2.dn_loss_bbox: 0.1737 d2.dn_loss_iou: 0.2140 d3.dn_loss_cls: 0.0897 d3.dn_loss_bbox: 0.1631 d3.dn_loss_iou: 0.2067 d4.dn_loss_cls: 0.0849 d4.dn_loss_bbox: 0.1617 d4.dn_loss_iou: 0.2052 d1.loss_lmm_region: 0.1528 loss_lmm_image: 0.8285 2024/11/03 01:18:30 - mmengine - INFO - Iter(train) [ 45800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:42:33 time: 0.9828 data_time: 0.0177 memory: 21432 grad_norm: 25.3748 loss: 10.5246 loss_cls: 0.3354 loss_bbox: 0.1544 loss_iou: 0.2595 d0.loss_cls: 0.3697 d0.loss_bbox: 0.1597 d0.loss_iou: 0.2756 d1.loss_cls: 0.3579 d1.loss_bbox: 0.1510 d1.loss_iou: 0.2620 d2.loss_cls: 0.3466 d2.loss_bbox: 0.1529 d2.loss_iou: 0.2566 d3.loss_cls: 0.3441 d3.loss_bbox: 0.1529 d3.loss_iou: 0.2583 d4.loss_cls: 0.3370 d4.loss_bbox: 0.1517 d4.loss_iou: 0.2579 enc_loss_cls: 0.3921 enc_loss_bbox: 0.1755 enc_loss_iou: 0.2961 dn_loss_cls: 0.1442 dn_loss_bbox: 0.2014 dn_loss_iou: 0.2341 d0.dn_loss_cls: 0.2402 d0.dn_loss_bbox: 0.3528 d0.dn_loss_iou: 0.3861 d1.dn_loss_cls: 0.1862 d1.dn_loss_bbox: 0.2366 d1.dn_loss_iou: 0.2698 d2.dn_loss_cls: 0.1631 d2.dn_loss_bbox: 0.2094 d2.dn_loss_iou: 0.2433 d3.dn_loss_cls: 0.1474 d3.dn_loss_bbox: 0.2025 d3.dn_loss_iou: 0.2349 d4.dn_loss_cls: 0.1459 d4.dn_loss_bbox: 0.2014 d4.dn_loss_iou: 0.2339 d1.loss_lmm_region: 0.1869 loss_lmm_image: 0.8577 2024/11/03 01:20:07 - mmengine - INFO - Iter(train) [ 45900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:40:49 time: 0.9657 data_time: 0.0178 memory: 20733 grad_norm: 25.9217 loss: 9.7757 loss_cls: 0.2909 loss_bbox: 0.1494 loss_iou: 0.2543 d0.loss_cls: 0.3216 d0.loss_bbox: 0.1616 d0.loss_iou: 0.2668 d1.loss_cls: 0.3106 d1.loss_bbox: 0.1535 d1.loss_iou: 0.2533 d2.loss_cls: 0.3006 d2.loss_bbox: 0.1538 d2.loss_iou: 0.2558 d3.loss_cls: 0.2950 d3.loss_bbox: 0.1514 d3.loss_iou: 0.2572 d4.loss_cls: 0.2914 d4.loss_bbox: 0.1501 d4.loss_iou: 0.2564 enc_loss_cls: 0.3415 enc_loss_bbox: 0.1786 enc_loss_iou: 0.2858 dn_loss_cls: 0.1005 dn_loss_bbox: 0.1933 dn_loss_iou: 0.2262 d0.dn_loss_cls: 0.1850 d0.dn_loss_bbox: 0.3535 d0.dn_loss_iou: 0.3806 d1.dn_loss_cls: 0.1320 d1.dn_loss_bbox: 0.2340 d1.dn_loss_iou: 0.2631 d2.dn_loss_cls: 0.1173 d2.dn_loss_bbox: 0.2044 d2.dn_loss_iou: 0.2362 d3.dn_loss_cls: 0.1037 d3.dn_loss_bbox: 0.1953 d3.dn_loss_iou: 0.2274 d4.dn_loss_cls: 0.1000 d4.dn_loss_bbox: 0.1933 d4.dn_loss_iou: 0.2260 d1.loss_lmm_region: 0.1865 loss_lmm_image: 0.8377 2024/11/03 01:21:45 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 01:21:45 - mmengine - INFO - Iter(train) [ 46000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:39:08 time: 0.9798 data_time: 0.0178 memory: 21254 grad_norm: 22.1045 loss: 10.9756 loss_cls: 0.3443 loss_bbox: 0.1721 loss_iou: 0.3223 d0.loss_cls: 0.3851 d0.loss_bbox: 0.1983 d0.loss_iou: 0.3439 d1.loss_cls: 0.3629 d1.loss_bbox: 0.1796 d1.loss_iou: 0.3291 d2.loss_cls: 0.3505 d2.loss_bbox: 0.1768 d2.loss_iou: 0.3243 d3.loss_cls: 0.3467 d3.loss_bbox: 0.1755 d3.loss_iou: 0.3220 d4.loss_cls: 0.3429 d4.loss_bbox: 0.1736 d4.loss_iou: 0.3223 enc_loss_cls: 0.3981 enc_loss_bbox: 0.2063 enc_loss_iou: 0.3633 dn_loss_cls: 0.1126 dn_loss_bbox: 0.1859 dn_loss_iou: 0.2460 d0.dn_loss_cls: 0.2029 d0.dn_loss_bbox: 0.3564 d0.dn_loss_iou: 0.4009 d1.dn_loss_cls: 0.1453 d1.dn_loss_bbox: 0.2227 d1.dn_loss_iou: 0.2812 d2.dn_loss_cls: 0.1275 d2.dn_loss_bbox: 0.1965 d2.dn_loss_iou: 0.2555 d3.dn_loss_cls: 0.1169 d3.dn_loss_bbox: 0.1889 d3.dn_loss_iou: 0.2479 d4.dn_loss_cls: 0.1136 d4.dn_loss_bbox: 0.1859 d4.dn_loss_iou: 0.2459 d1.loss_lmm_region: 0.1365 loss_lmm_image: 0.8666 2024/11/03 01:23:24 - mmengine - INFO - Iter(train) [ 46100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:37:27 time: 0.9799 data_time: 0.0177 memory: 20677 grad_norm: 21.8817 loss: 9.6923 loss_cls: 0.2833 loss_bbox: 0.1479 loss_iou: 0.2661 d0.loss_cls: 0.3249 d0.loss_bbox: 0.1586 d0.loss_iou: 0.2864 d1.loss_cls: 0.3064 d1.loss_bbox: 0.1542 d1.loss_iou: 0.2726 d2.loss_cls: 0.2919 d2.loss_bbox: 0.1528 d2.loss_iou: 0.2693 d3.loss_cls: 0.2920 d3.loss_bbox: 0.1471 d3.loss_iou: 0.2631 d4.loss_cls: 0.2873 d4.loss_bbox: 0.1463 d4.loss_iou: 0.2641 enc_loss_cls: 0.3421 enc_loss_bbox: 0.1731 enc_loss_iou: 0.3075 dn_loss_cls: 0.1015 dn_loss_bbox: 0.1707 dn_loss_iou: 0.2237 d0.dn_loss_cls: 0.1836 d0.dn_loss_bbox: 0.3248 d0.dn_loss_iou: 0.3791 d1.dn_loss_cls: 0.1379 d1.dn_loss_bbox: 0.2051 d1.dn_loss_iou: 0.2598 d2.dn_loss_cls: 0.1185 d2.dn_loss_bbox: 0.1789 d2.dn_loss_iou: 0.2337 d3.dn_loss_cls: 0.1082 d3.dn_loss_bbox: 0.1718 d3.dn_loss_iou: 0.2251 d4.dn_loss_cls: 0.1033 d4.dn_loss_bbox: 0.1707 d4.dn_loss_iou: 0.2235 d1.loss_lmm_region: 0.1411 loss_lmm_image: 0.8940 2024/11/03 01:25:02 - mmengine - INFO - Iter(train) [ 46200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:35:45 time: 0.9805 data_time: 0.0178 memory: 21297 grad_norm: 21.1306 loss: 9.6862 loss_cls: 0.2800 loss_bbox: 0.1488 loss_iou: 0.2683 d0.loss_cls: 0.3107 d0.loss_bbox: 0.1604 d0.loss_iou: 0.2891 d1.loss_cls: 0.2946 d1.loss_bbox: 0.1508 d1.loss_iou: 0.2722 d2.loss_cls: 0.2877 d2.loss_bbox: 0.1484 d2.loss_iou: 0.2690 d3.loss_cls: 0.2824 d3.loss_bbox: 0.1493 d3.loss_iou: 0.2691 d4.loss_cls: 0.2817 d4.loss_bbox: 0.1485 d4.loss_iou: 0.2682 enc_loss_cls: 0.3309 enc_loss_bbox: 0.1691 enc_loss_iou: 0.3066 dn_loss_cls: 0.0790 dn_loss_bbox: 0.1940 dn_loss_iou: 0.2445 d0.dn_loss_cls: 0.1623 d0.dn_loss_bbox: 0.3333 d0.dn_loss_iou: 0.3953 d1.dn_loss_cls: 0.1111 d1.dn_loss_bbox: 0.2215 d1.dn_loss_iou: 0.2763 d2.dn_loss_cls: 0.0944 d2.dn_loss_bbox: 0.2002 d2.dn_loss_iou: 0.2533 d3.dn_loss_cls: 0.0825 d3.dn_loss_bbox: 0.1952 d3.dn_loss_iou: 0.2459 d4.dn_loss_cls: 0.0783 d4.dn_loss_bbox: 0.1941 d4.dn_loss_iou: 0.2445 d1.loss_lmm_region: 0.1615 loss_lmm_image: 0.8334 2024/11/03 01:26:41 - mmengine - INFO - Iter(train) [ 46300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:34:05 time: 1.0010 data_time: 0.0178 memory: 20604 grad_norm: 31.9464 loss: 10.1704 loss_cls: 0.3436 loss_bbox: 0.1391 loss_iou: 0.2467 d0.loss_cls: 0.3718 d0.loss_bbox: 0.1541 d0.loss_iou: 0.2653 d1.loss_cls: 0.3573 d1.loss_bbox: 0.1435 d1.loss_iou: 0.2504 d2.loss_cls: 0.3495 d2.loss_bbox: 0.1422 d2.loss_iou: 0.2510 d3.loss_cls: 0.3460 d3.loss_bbox: 0.1388 d3.loss_iou: 0.2474 d4.loss_cls: 0.3417 d4.loss_bbox: 0.1401 d4.loss_iou: 0.2478 enc_loss_cls: 0.3887 enc_loss_bbox: 0.1697 enc_loss_iou: 0.2843 dn_loss_cls: 0.1181 dn_loss_bbox: 0.1970 dn_loss_iou: 0.2330 d0.dn_loss_cls: 0.2122 d0.dn_loss_bbox: 0.3699 d0.dn_loss_iou: 0.3836 d1.dn_loss_cls: 0.1520 d1.dn_loss_bbox: 0.2332 d1.dn_loss_iou: 0.2674 d2.dn_loss_cls: 0.1349 d2.dn_loss_bbox: 0.2086 d2.dn_loss_iou: 0.2427 d3.dn_loss_cls: 0.1227 d3.dn_loss_bbox: 0.1988 d3.dn_loss_iou: 0.2346 d4.dn_loss_cls: 0.1200 d4.dn_loss_bbox: 0.1970 d4.dn_loss_iou: 0.2330 d1.loss_lmm_region: 0.1617 loss_lmm_image: 0.8308 2024/11/03 01:28:18 - mmengine - INFO - Iter(train) [ 46400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:32:23 time: 0.9738 data_time: 0.0178 memory: 20815 grad_norm: 24.7323 loss: 10.1575 loss_cls: 0.3372 loss_bbox: 0.1358 loss_iou: 0.2580 d0.loss_cls: 0.3729 d0.loss_bbox: 0.1494 d0.loss_iou: 0.2782 d1.loss_cls: 0.3547 d1.loss_bbox: 0.1386 d1.loss_iou: 0.2649 d2.loss_cls: 0.3404 d2.loss_bbox: 0.1407 d2.loss_iou: 0.2642 d3.loss_cls: 0.3384 d3.loss_bbox: 0.1361 d3.loss_iou: 0.2601 d4.loss_cls: 0.3375 d4.loss_bbox: 0.1353 d4.loss_iou: 0.2571 enc_loss_cls: 0.3877 enc_loss_bbox: 0.1668 enc_loss_iou: 0.3079 dn_loss_cls: 0.1508 dn_loss_bbox: 0.1631 dn_loss_iou: 0.2316 d0.dn_loss_cls: 0.2066 d0.dn_loss_bbox: 0.3224 d0.dn_loss_iou: 0.3884 d1.dn_loss_cls: 0.1624 d1.dn_loss_bbox: 0.1985 d1.dn_loss_iou: 0.2664 d2.dn_loss_cls: 0.1499 d2.dn_loss_bbox: 0.1764 d2.dn_loss_iou: 0.2424 d3.dn_loss_cls: 0.1506 d3.dn_loss_bbox: 0.1654 d3.dn_loss_iou: 0.2335 d4.dn_loss_cls: 0.1453 d4.dn_loss_bbox: 0.1631 d4.dn_loss_iou: 0.2316 d1.loss_lmm_region: 0.1582 loss_lmm_image: 0.8891 2024/11/03 01:29:57 - mmengine - INFO - Iter(train) [ 46500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:30:42 time: 0.9839 data_time: 0.0177 memory: 20567 grad_norm: 21.8678 loss: 10.0921 loss_cls: 0.2687 loss_bbox: 0.1645 loss_iou: 0.2477 d0.loss_cls: 0.3077 d0.loss_bbox: 0.1774 d0.loss_iou: 0.2614 d1.loss_cls: 0.2874 d1.loss_bbox: 0.1656 d1.loss_iou: 0.2517 d2.loss_cls: 0.2787 d2.loss_bbox: 0.1649 d2.loss_iou: 0.2497 d3.loss_cls: 0.2736 d3.loss_bbox: 0.1633 d3.loss_iou: 0.2473 d4.loss_cls: 0.2696 d4.loss_bbox: 0.1635 d4.loss_iou: 0.2488 enc_loss_cls: 0.3176 enc_loss_bbox: 0.1895 enc_loss_iou: 0.2856 dn_loss_cls: 0.1168 dn_loss_bbox: 0.2201 dn_loss_iou: 0.2494 d0.dn_loss_cls: 0.2060 d0.dn_loss_bbox: 0.3950 d0.dn_loss_iou: 0.4140 d1.dn_loss_cls: 0.1499 d1.dn_loss_bbox: 0.2524 d1.dn_loss_iou: 0.2826 d2.dn_loss_cls: 0.1331 d2.dn_loss_bbox: 0.2273 d2.dn_loss_iou: 0.2574 d3.dn_loss_cls: 0.1235 d3.dn_loss_bbox: 0.2210 d3.dn_loss_iou: 0.2506 d4.dn_loss_cls: 0.1181 d4.dn_loss_bbox: 0.2202 d4.dn_loss_iou: 0.2494 d1.loss_lmm_region: 0.1605 loss_lmm_image: 0.8606 2024/11/03 01:31:34 - mmengine - INFO - Iter(train) [ 46600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:28:58 time: 0.9759 data_time: 0.0177 memory: 21951 grad_norm: 23.3887 loss: 9.7612 loss_cls: 0.3018 loss_bbox: 0.1435 loss_iou: 0.2564 d0.loss_cls: 0.3346 d0.loss_bbox: 0.1626 d0.loss_iou: 0.2798 d1.loss_cls: 0.3236 d1.loss_bbox: 0.1481 d1.loss_iou: 0.2635 d2.loss_cls: 0.3201 d2.loss_bbox: 0.1425 d2.loss_iou: 0.2576 d3.loss_cls: 0.3068 d3.loss_bbox: 0.1434 d3.loss_iou: 0.2573 d4.loss_cls: 0.3010 d4.loss_bbox: 0.1445 d4.loss_iou: 0.2575 enc_loss_cls: 0.3593 enc_loss_bbox: 0.1718 enc_loss_iou: 0.2944 dn_loss_cls: 0.1100 dn_loss_bbox: 0.1710 dn_loss_iou: 0.2163 d0.dn_loss_cls: 0.1887 d0.dn_loss_bbox: 0.3516 d0.dn_loss_iou: 0.3824 d1.dn_loss_cls: 0.1370 d1.dn_loss_bbox: 0.2125 d1.dn_loss_iou: 0.2578 d2.dn_loss_cls: 0.1242 d2.dn_loss_bbox: 0.1816 d2.dn_loss_iou: 0.2284 d3.dn_loss_cls: 0.1151 d3.dn_loss_bbox: 0.1731 d3.dn_loss_iou: 0.2188 d4.dn_loss_cls: 0.1100 d4.dn_loss_bbox: 0.1710 d4.dn_loss_iou: 0.2164 d1.loss_lmm_region: 0.1552 loss_lmm_image: 0.8700 2024/11/03 01:33:13 - mmengine - INFO - Iter(train) [ 46700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:27:18 time: 0.9825 data_time: 0.0177 memory: 20550 grad_norm: 21.9150 loss: 9.8321 loss_cls: 0.2971 loss_bbox: 0.1321 loss_iou: 0.2624 d0.loss_cls: 0.3269 d0.loss_bbox: 0.1496 d0.loss_iou: 0.2816 d1.loss_cls: 0.3111 d1.loss_bbox: 0.1443 d1.loss_iou: 0.2750 d2.loss_cls: 0.3087 d2.loss_bbox: 0.1363 d2.loss_iou: 0.2661 d3.loss_cls: 0.3029 d3.loss_bbox: 0.1350 d3.loss_iou: 0.2641 d4.loss_cls: 0.3003 d4.loss_bbox: 0.1322 d4.loss_iou: 0.2636 enc_loss_cls: 0.3455 enc_loss_bbox: 0.1584 enc_loss_iou: 0.2996 dn_loss_cls: 0.0911 dn_loss_bbox: 0.1905 dn_loss_iou: 0.2400 d0.dn_loss_cls: 0.1825 d0.dn_loss_bbox: 0.3570 d0.dn_loss_iou: 0.3968 d1.dn_loss_cls: 0.1225 d1.dn_loss_bbox: 0.2247 d1.dn_loss_iou: 0.2731 d2.dn_loss_cls: 0.1061 d2.dn_loss_bbox: 0.1976 d2.dn_loss_iou: 0.2475 d3.dn_loss_cls: 0.0963 d3.dn_loss_bbox: 0.1918 d3.dn_loss_iou: 0.2412 d4.dn_loss_cls: 0.0924 d4.dn_loss_bbox: 0.1905 d4.dn_loss_iou: 0.2400 d1.loss_lmm_region: 0.1776 loss_lmm_image: 0.8801 2024/11/03 01:34:51 - mmengine - INFO - Iter(train) [ 46800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:25:37 time: 0.9846 data_time: 0.0179 memory: 20863 grad_norm: 22.3151 loss: 10.1269 loss_cls: 0.3309 loss_bbox: 0.1583 loss_iou: 0.2922 d0.loss_cls: 0.3648 d0.loss_bbox: 0.1735 d0.loss_iou: 0.3108 d1.loss_cls: 0.3466 d1.loss_bbox: 0.1611 d1.loss_iou: 0.2985 d2.loss_cls: 0.3410 d2.loss_bbox: 0.1587 d2.loss_iou: 0.2939 d3.loss_cls: 0.3399 d3.loss_bbox: 0.1539 d3.loss_iou: 0.2892 d4.loss_cls: 0.3378 d4.loss_bbox: 0.1559 d4.loss_iou: 0.2903 enc_loss_cls: 0.3835 enc_loss_bbox: 0.1856 enc_loss_iou: 0.3299 dn_loss_cls: 0.0922 dn_loss_bbox: 0.1650 dn_loss_iou: 0.2259 d0.dn_loss_cls: 0.1781 d0.dn_loss_bbox: 0.3135 d0.dn_loss_iou: 0.3737 d1.dn_loss_cls: 0.1233 d1.dn_loss_bbox: 0.2022 d1.dn_loss_iou: 0.2608 d2.dn_loss_cls: 0.1075 d2.dn_loss_bbox: 0.1751 d2.dn_loss_iou: 0.2363 d3.dn_loss_cls: 0.0955 d3.dn_loss_bbox: 0.1666 d3.dn_loss_iou: 0.2279 d4.dn_loss_cls: 0.0934 d4.dn_loss_bbox: 0.1650 d4.dn_loss_iou: 0.2259 d1.loss_lmm_region: 0.1622 loss_lmm_image: 0.8404 2024/11/03 01:36:29 - mmengine - INFO - Iter(train) [ 46900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:23:55 time: 0.9743 data_time: 0.0178 memory: 20835 grad_norm: 22.6923 loss: 9.3697 loss_cls: 0.2797 loss_bbox: 0.1350 loss_iou: 0.2351 d0.loss_cls: 0.3160 d0.loss_bbox: 0.1542 d0.loss_iou: 0.2552 d1.loss_cls: 0.2998 d1.loss_bbox: 0.1466 d1.loss_iou: 0.2426 d2.loss_cls: 0.2948 d2.loss_bbox: 0.1365 d2.loss_iou: 0.2359 d3.loss_cls: 0.2890 d3.loss_bbox: 0.1343 d3.loss_iou: 0.2347 d4.loss_cls: 0.2824 d4.loss_bbox: 0.1338 d4.loss_iou: 0.2340 enc_loss_cls: 0.3321 enc_loss_bbox: 0.1689 enc_loss_iou: 0.2784 dn_loss_cls: 0.0835 dn_loss_bbox: 0.1844 dn_loss_iou: 0.2300 d0.dn_loss_cls: 0.1762 d0.dn_loss_bbox: 0.3490 d0.dn_loss_iou: 0.3900 d1.dn_loss_cls: 0.1140 d1.dn_loss_bbox: 0.2196 d1.dn_loss_iou: 0.2648 d2.dn_loss_cls: 0.0971 d2.dn_loss_bbox: 0.1944 d2.dn_loss_iou: 0.2394 d3.dn_loss_cls: 0.0874 d3.dn_loss_bbox: 0.1853 d3.dn_loss_iou: 0.2310 d4.dn_loss_cls: 0.0839 d4.dn_loss_bbox: 0.1845 d4.dn_loss_iou: 0.2299 d1.loss_lmm_region: 0.1461 loss_lmm_image: 0.8603 2024/11/03 01:38:07 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 01:38:07 - mmengine - INFO - Iter(train) [ 47000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:22:14 time: 0.9847 data_time: 0.0179 memory: 20819 grad_norm: 22.1232 loss: 9.6592 loss_cls: 0.3071 loss_bbox: 0.1390 loss_iou: 0.2509 d0.loss_cls: 0.3447 d0.loss_bbox: 0.1635 d0.loss_iou: 0.2725 d1.loss_cls: 0.3224 d1.loss_bbox: 0.1536 d1.loss_iou: 0.2621 d2.loss_cls: 0.3125 d2.loss_bbox: 0.1435 d2.loss_iou: 0.2525 d3.loss_cls: 0.3090 d3.loss_bbox: 0.1418 d3.loss_iou: 0.2516 d4.loss_cls: 0.3083 d4.loss_bbox: 0.1394 d4.loss_iou: 0.2502 enc_loss_cls: 0.3514 enc_loss_bbox: 0.1770 enc_loss_iou: 0.2924 dn_loss_cls: 0.1019 dn_loss_bbox: 0.1732 dn_loss_iou: 0.2142 d0.dn_loss_cls: 0.1906 d0.dn_loss_bbox: 0.3345 d0.dn_loss_iou: 0.3743 d1.dn_loss_cls: 0.1354 d1.dn_loss_bbox: 0.2096 d1.dn_loss_iou: 0.2495 d2.dn_loss_cls: 0.1160 d2.dn_loss_bbox: 0.1828 d2.dn_loss_iou: 0.2238 d3.dn_loss_cls: 0.1077 d3.dn_loss_bbox: 0.1734 d3.dn_loss_iou: 0.2155 d4.dn_loss_cls: 0.1029 d4.dn_loss_bbox: 0.1731 d4.dn_loss_iou: 0.2142 d1.loss_lmm_region: 0.1644 loss_lmm_image: 0.8568 2024/11/03 01:39:44 - mmengine - INFO - Iter(train) [ 47100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:20:30 time: 0.9663 data_time: 0.0177 memory: 20363 grad_norm: 20.0213 loss: 9.4310 loss_cls: 0.2782 loss_bbox: 0.1416 loss_iou: 0.2424 d0.loss_cls: 0.3053 d0.loss_bbox: 0.1580 d0.loss_iou: 0.2615 d1.loss_cls: 0.2908 d1.loss_bbox: 0.1504 d1.loss_iou: 0.2462 d2.loss_cls: 0.2847 d2.loss_bbox: 0.1453 d2.loss_iou: 0.2435 d3.loss_cls: 0.2894 d3.loss_bbox: 0.1356 d3.loss_iou: 0.2393 d4.loss_cls: 0.2819 d4.loss_bbox: 0.1391 d4.loss_iou: 0.2409 enc_loss_cls: 0.3190 enc_loss_bbox: 0.1705 enc_loss_iou: 0.2827 dn_loss_cls: 0.0864 dn_loss_bbox: 0.1784 dn_loss_iou: 0.2321 d0.dn_loss_cls: 0.1712 d0.dn_loss_bbox: 0.3528 d0.dn_loss_iou: 0.3897 d1.dn_loss_cls: 0.1164 d1.dn_loss_bbox: 0.2176 d1.dn_loss_iou: 0.2685 d2.dn_loss_cls: 0.0998 d2.dn_loss_bbox: 0.1885 d2.dn_loss_iou: 0.2423 d3.dn_loss_cls: 0.0940 d3.dn_loss_bbox: 0.1801 d3.dn_loss_iou: 0.2339 d4.dn_loss_cls: 0.0876 d4.dn_loss_bbox: 0.1784 d4.dn_loss_iou: 0.2321 d1.loss_lmm_region: 0.1575 loss_lmm_image: 0.8775 2024/11/03 01:41:23 - mmengine - INFO - Iter(train) [ 47200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:18:51 time: 0.9930 data_time: 0.0177 memory: 20283 grad_norm: 22.6807 loss: 9.5674 loss_cls: 0.2853 loss_bbox: 0.1438 loss_iou: 0.2582 d0.loss_cls: 0.3211 d0.loss_bbox: 0.1570 d0.loss_iou: 0.2717 d1.loss_cls: 0.3006 d1.loss_bbox: 0.1452 d1.loss_iou: 0.2619 d2.loss_cls: 0.2943 d2.loss_bbox: 0.1446 d2.loss_iou: 0.2576 d3.loss_cls: 0.2890 d3.loss_bbox: 0.1435 d3.loss_iou: 0.2568 d4.loss_cls: 0.2859 d4.loss_bbox: 0.1431 d4.loss_iou: 0.2558 enc_loss_cls: 0.3453 enc_loss_bbox: 0.1719 enc_loss_iou: 0.2996 dn_loss_cls: 0.0814 dn_loss_bbox: 0.1797 dn_loss_iou: 0.2355 d0.dn_loss_cls: 0.1752 d0.dn_loss_bbox: 0.3300 d0.dn_loss_iou: 0.3817 d1.dn_loss_cls: 0.1144 d1.dn_loss_bbox: 0.2134 d1.dn_loss_iou: 0.2682 d2.dn_loss_cls: 0.0955 d2.dn_loss_bbox: 0.1885 d2.dn_loss_iou: 0.2443 d3.dn_loss_cls: 0.0864 d3.dn_loss_bbox: 0.1812 d3.dn_loss_iou: 0.2370 d4.dn_loss_cls: 0.0815 d4.dn_loss_bbox: 0.1797 d4.dn_loss_iou: 0.2355 d1.loss_lmm_region: 0.1228 loss_lmm_image: 0.9037 2024/11/03 01:43:01 - mmengine - INFO - Iter(train) [ 47300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:17:09 time: 0.9720 data_time: 0.0177 memory: 21361 grad_norm: 22.1848 loss: 10.5825 loss_cls: 0.3321 loss_bbox: 0.1673 loss_iou: 0.3025 d0.loss_cls: 0.3669 d0.loss_bbox: 0.1774 d0.loss_iou: 0.3181 d1.loss_cls: 0.3491 d1.loss_bbox: 0.1699 d1.loss_iou: 0.3077 d2.loss_cls: 0.3447 d2.loss_bbox: 0.1644 d2.loss_iou: 0.2992 d3.loss_cls: 0.3320 d3.loss_bbox: 0.1691 d3.loss_iou: 0.3036 d4.loss_cls: 0.3325 d4.loss_bbox: 0.1658 d4.loss_iou: 0.3019 enc_loss_cls: 0.3858 enc_loss_bbox: 0.1850 enc_loss_iou: 0.3359 dn_loss_cls: 0.0918 dn_loss_bbox: 0.1941 dn_loss_iou: 0.2451 d0.dn_loss_cls: 0.1900 d0.dn_loss_bbox: 0.3694 d0.dn_loss_iou: 0.4029 d1.dn_loss_cls: 0.1265 d1.dn_loss_bbox: 0.2311 d1.dn_loss_iou: 0.2794 d2.dn_loss_cls: 0.1102 d2.dn_loss_bbox: 0.2042 d2.dn_loss_iou: 0.2551 d3.dn_loss_cls: 0.0993 d3.dn_loss_bbox: 0.1952 d3.dn_loss_iou: 0.2467 d4.dn_loss_cls: 0.0923 d4.dn_loss_bbox: 0.1941 d4.dn_loss_iou: 0.2451 d1.loss_lmm_region: 0.1740 loss_lmm_image: 0.8250 2024/11/03 01:44:40 - mmengine - INFO - Iter(train) [ 47400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:15:30 time: 0.9834 data_time: 0.0177 memory: 21292 grad_norm: 22.9060 loss: 10.4927 loss_cls: 0.3445 loss_bbox: 0.1739 loss_iou: 0.2992 d0.loss_cls: 0.3814 d0.loss_bbox: 0.1884 d0.loss_iou: 0.3176 d1.loss_cls: 0.3569 d1.loss_bbox: 0.1815 d1.loss_iou: 0.3080 d2.loss_cls: 0.3569 d2.loss_bbox: 0.1748 d2.loss_iou: 0.3008 d3.loss_cls: 0.3517 d3.loss_bbox: 0.1746 d3.loss_iou: 0.3004 d4.loss_cls: 0.3480 d4.loss_bbox: 0.1735 d4.loss_iou: 0.2990 enc_loss_cls: 0.4008 enc_loss_bbox: 0.1995 enc_loss_iou: 0.3376 dn_loss_cls: 0.1019 dn_loss_bbox: 0.1613 dn_loss_iou: 0.2281 d0.dn_loss_cls: 0.1896 d0.dn_loss_bbox: 0.3110 d0.dn_loss_iou: 0.3817 d1.dn_loss_cls: 0.1378 d1.dn_loss_bbox: 0.1954 d1.dn_loss_iou: 0.2616 d2.dn_loss_cls: 0.1188 d2.dn_loss_bbox: 0.1713 d2.dn_loss_iou: 0.2381 d3.dn_loss_cls: 0.1088 d3.dn_loss_bbox: 0.1645 d3.dn_loss_iou: 0.2304 d4.dn_loss_cls: 0.1026 d4.dn_loss_bbox: 0.1613 d4.dn_loss_iou: 0.2280 d1.loss_lmm_region: 0.1645 loss_lmm_image: 0.8670 2024/11/03 01:46:19 - mmengine - INFO - Iter(train) [ 47500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:13:49 time: 0.9965 data_time: 0.0179 memory: 21533 grad_norm: 25.0121 loss: 10.9966 loss_cls: 0.3527 loss_bbox: 0.1741 loss_iou: 0.3140 d0.loss_cls: 0.4034 d0.loss_bbox: 0.1863 d0.loss_iou: 0.3308 d1.loss_cls: 0.3802 d1.loss_bbox: 0.1750 d1.loss_iou: 0.3185 d2.loss_cls: 0.3664 d2.loss_bbox: 0.1763 d2.loss_iou: 0.3157 d3.loss_cls: 0.3568 d3.loss_bbox: 0.1764 d3.loss_iou: 0.3156 d4.loss_cls: 0.3530 d4.loss_bbox: 0.1742 d4.loss_iou: 0.3137 enc_loss_cls: 0.4136 enc_loss_bbox: 0.1978 enc_loss_iou: 0.3537 dn_loss_cls: 0.1202 dn_loss_bbox: 0.1871 dn_loss_iou: 0.2510 d0.dn_loss_cls: 0.2045 d0.dn_loss_bbox: 0.3305 d0.dn_loss_iou: 0.3945 d1.dn_loss_cls: 0.1543 d1.dn_loss_bbox: 0.2158 d1.dn_loss_iou: 0.2828 d2.dn_loss_cls: 0.1362 d2.dn_loss_bbox: 0.1941 d2.dn_loss_iou: 0.2596 d3.dn_loss_cls: 0.1278 d3.dn_loss_bbox: 0.1873 d3.dn_loss_iou: 0.2525 d4.dn_loss_cls: 0.1210 d4.dn_loss_bbox: 0.1873 d4.dn_loss_iou: 0.2511 d1.loss_lmm_region: 0.1760 loss_lmm_image: 0.8147 2024/11/03 01:47:57 - mmengine - INFO - Iter(train) [ 47600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:12:09 time: 0.9757 data_time: 0.0180 memory: 19709 grad_norm: 23.0665 loss: 9.0267 loss_cls: 0.2692 loss_bbox: 0.1324 loss_iou: 0.2580 d0.loss_cls: 0.2972 d0.loss_bbox: 0.1519 d0.loss_iou: 0.2734 d1.loss_cls: 0.2831 d1.loss_bbox: 0.1393 d1.loss_iou: 0.2648 d2.loss_cls: 0.2819 d2.loss_bbox: 0.1336 d2.loss_iou: 0.2565 d3.loss_cls: 0.2783 d3.loss_bbox: 0.1318 d3.loss_iou: 0.2563 d4.loss_cls: 0.2701 d4.loss_bbox: 0.1324 d4.loss_iou: 0.2580 enc_loss_cls: 0.3149 enc_loss_bbox: 0.1621 enc_loss_iou: 0.2943 dn_loss_cls: 0.0650 dn_loss_bbox: 0.1612 dn_loss_iou: 0.2331 d0.dn_loss_cls: 0.1479 d0.dn_loss_bbox: 0.3213 d0.dn_loss_iou: 0.3910 d1.dn_loss_cls: 0.0927 d1.dn_loss_bbox: 0.1920 d1.dn_loss_iou: 0.2673 d2.dn_loss_cls: 0.0776 d2.dn_loss_bbox: 0.1679 d2.dn_loss_iou: 0.2416 d3.dn_loss_cls: 0.0700 d3.dn_loss_bbox: 0.1609 d3.dn_loss_iou: 0.2339 d4.dn_loss_cls: 0.0653 d4.dn_loss_bbox: 0.1612 d4.dn_loss_iou: 0.2332 d1.loss_lmm_region: 0.1237 loss_lmm_image: 0.7804 2024/11/03 01:49:36 - mmengine - INFO - Iter(train) [ 47700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:10:28 time: 0.9926 data_time: 0.0177 memory: 21606 grad_norm: 25.8580 loss: 8.9576 loss_cls: 0.3162 loss_bbox: 0.1212 loss_iou: 0.2342 d0.loss_cls: 0.3452 d0.loss_bbox: 0.1383 d0.loss_iou: 0.2505 d1.loss_cls: 0.3297 d1.loss_bbox: 0.1257 d1.loss_iou: 0.2399 d2.loss_cls: 0.3256 d2.loss_bbox: 0.1254 d2.loss_iou: 0.2377 d3.loss_cls: 0.3175 d3.loss_bbox: 0.1220 d3.loss_iou: 0.2336 d4.loss_cls: 0.3155 d4.loss_bbox: 0.1215 d4.loss_iou: 0.2330 enc_loss_cls: 0.3581 enc_loss_bbox: 0.1489 enc_loss_iou: 0.2654 dn_loss_cls: 0.0699 dn_loss_bbox: 0.1450 dn_loss_iou: 0.2140 d0.dn_loss_cls: 0.1548 d0.dn_loss_bbox: 0.2823 d0.dn_loss_iou: 0.3569 d1.dn_loss_cls: 0.0983 d1.dn_loss_bbox: 0.1752 d1.dn_loss_iou: 0.2452 d2.dn_loss_cls: 0.0826 d2.dn_loss_bbox: 0.1557 d2.dn_loss_iou: 0.2232 d3.dn_loss_cls: 0.0747 d3.dn_loss_bbox: 0.1460 d3.dn_loss_iou: 0.2158 d4.dn_loss_cls: 0.0710 d4.dn_loss_bbox: 0.1449 d4.dn_loss_iou: 0.2139 d1.loss_lmm_region: 0.1567 loss_lmm_image: 0.8263 2024/11/03 01:51:13 - mmengine - INFO - Iter(train) [ 47800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:08:45 time: 0.9746 data_time: 0.0179 memory: 20296 grad_norm: 19.9584 loss: 10.8979 loss_cls: 0.3703 loss_bbox: 0.1571 loss_iou: 0.3111 d0.loss_cls: 0.4193 d0.loss_bbox: 0.1779 d0.loss_iou: 0.3342 d1.loss_cls: 0.3999 d1.loss_bbox: 0.1594 d1.loss_iou: 0.3169 d2.loss_cls: 0.3856 d2.loss_bbox: 0.1572 d2.loss_iou: 0.3110 d3.loss_cls: 0.3804 d3.loss_bbox: 0.1554 d3.loss_iou: 0.3098 d4.loss_cls: 0.3703 d4.loss_bbox: 0.1571 d4.loss_iou: 0.3111 enc_loss_cls: 0.4347 enc_loss_bbox: 0.1887 enc_loss_iou: 0.3586 dn_loss_cls: 0.1032 dn_loss_bbox: 0.1772 dn_loss_iou: 0.2410 d0.dn_loss_cls: 0.1881 d0.dn_loss_bbox: 0.3357 d0.dn_loss_iou: 0.3983 d1.dn_loss_cls: 0.1337 d1.dn_loss_bbox: 0.2148 d1.dn_loss_iou: 0.2751 d2.dn_loss_cls: 0.1192 d2.dn_loss_bbox: 0.1882 d2.dn_loss_iou: 0.2512 d3.dn_loss_cls: 0.1087 d3.dn_loss_bbox: 0.1800 d3.dn_loss_iou: 0.2427 d4.dn_loss_cls: 0.1045 d4.dn_loss_bbox: 0.1772 d4.dn_loss_iou: 0.2410 d1.loss_lmm_region: 0.1665 loss_lmm_image: 0.8856 2024/11/03 01:52:51 - mmengine - INFO - Iter(train) [ 47900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:07:04 time: 0.9828 data_time: 0.0177 memory: 21171 grad_norm: nan loss: 10.6089 loss_cls: 0.3423 loss_bbox: 0.1705 loss_iou: 0.3463 d0.loss_cls: 0.3840 d0.loss_bbox: 0.1933 d0.loss_iou: 0.3730 d1.loss_cls: 0.3674 d1.loss_bbox: 0.1793 d1.loss_iou: 0.3544 d2.loss_cls: 0.3569 d2.loss_bbox: 0.1698 d2.loss_iou: 0.3455 d3.loss_cls: 0.3460 d3.loss_bbox: 0.1711 d3.loss_iou: 0.3488 d4.loss_cls: 0.3430 d4.loss_bbox: 0.1707 d4.loss_iou: 0.3468 enc_loss_cls: 0.4029 enc_loss_bbox: 0.2014 enc_loss_iou: 0.3969 dn_loss_cls: 0.0730 dn_loss_bbox: 0.1538 dn_loss_iou: 0.2381 d0.dn_loss_cls: 0.1534 d0.dn_loss_bbox: 0.2966 d0.dn_loss_iou: 0.3821 d1.dn_loss_cls: 0.1009 d1.dn_loss_bbox: 0.1863 d1.dn_loss_iou: 0.2687 d2.dn_loss_cls: 0.0853 d2.dn_loss_bbox: 0.1631 d2.dn_loss_iou: 0.2460 d3.dn_loss_cls: 0.0768 d3.dn_loss_bbox: 0.1550 d3.dn_loss_iou: 0.2395 d4.dn_loss_cls: 0.0734 d4.dn_loss_bbox: 0.1538 d4.dn_loss_iou: 0.2380 d1.loss_lmm_region: 0.1390 loss_lmm_image: 0.8759 2024/11/03 01:54:29 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 01:54:29 - mmengine - INFO - Iter(train) [ 48000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:05:21 time: 0.9681 data_time: 0.0178 memory: 21184 grad_norm: 24.7400 loss: 9.9590 loss_cls: 0.3186 loss_bbox: 0.1517 loss_iou: 0.2616 d0.loss_cls: 0.3530 d0.loss_bbox: 0.1677 d0.loss_iou: 0.2791 d1.loss_cls: 0.3383 d1.loss_bbox: 0.1577 d1.loss_iou: 0.2699 d2.loss_cls: 0.3303 d2.loss_bbox: 0.1518 d2.loss_iou: 0.2632 d3.loss_cls: 0.3242 d3.loss_bbox: 0.1529 d3.loss_iou: 0.2630 d4.loss_cls: 0.3204 d4.loss_bbox: 0.1522 d4.loss_iou: 0.2629 enc_loss_cls: 0.3682 enc_loss_bbox: 0.1873 enc_loss_iou: 0.3072 dn_loss_cls: 0.1130 dn_loss_bbox: 0.1826 dn_loss_iou: 0.2249 d0.dn_loss_cls: 0.1895 d0.dn_loss_bbox: 0.3273 d0.dn_loss_iou: 0.3728 d1.dn_loss_cls: 0.1427 d1.dn_loss_bbox: 0.2088 d1.dn_loss_iou: 0.2565 d2.dn_loss_cls: 0.1293 d2.dn_loss_bbox: 0.1890 d2.dn_loss_iou: 0.2336 d3.dn_loss_cls: 0.1234 d3.dn_loss_bbox: 0.1837 d3.dn_loss_iou: 0.2264 d4.dn_loss_cls: 0.1161 d4.dn_loss_bbox: 0.1827 d4.dn_loss_iou: 0.2249 d1.loss_lmm_region: 0.1570 loss_lmm_image: 0.7938 2024/11/03 01:56:07 - mmengine - INFO - Iter(train) [ 48100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:03:39 time: 0.9686 data_time: 0.0177 memory: 22427 grad_norm: 19.9429 loss: 9.3007 loss_cls: 0.2721 loss_bbox: 0.1198 loss_iou: 0.2603 d0.loss_cls: 0.3042 d0.loss_bbox: 0.1326 d0.loss_iou: 0.2819 d1.loss_cls: 0.2886 d1.loss_bbox: 0.1247 d1.loss_iou: 0.2686 d2.loss_cls: 0.2827 d2.loss_bbox: 0.1224 d2.loss_iou: 0.2630 d3.loss_cls: 0.2786 d3.loss_bbox: 0.1191 d3.loss_iou: 0.2614 d4.loss_cls: 0.2745 d4.loss_bbox: 0.1195 d4.loss_iou: 0.2610 enc_loss_cls: 0.3271 enc_loss_bbox: 0.1406 enc_loss_iou: 0.2995 dn_loss_cls: 0.0982 dn_loss_bbox: 0.1726 dn_loss_iou: 0.2241 d0.dn_loss_cls: 0.1726 d0.dn_loss_bbox: 0.3244 d0.dn_loss_iou: 0.3756 d1.dn_loss_cls: 0.1251 d1.dn_loss_bbox: 0.2038 d1.dn_loss_iou: 0.2588 d2.dn_loss_cls: 0.1125 d2.dn_loss_bbox: 0.1798 d2.dn_loss_iou: 0.2312 d3.dn_loss_cls: 0.1069 d3.dn_loss_bbox: 0.1733 d3.dn_loss_iou: 0.2254 d4.dn_loss_cls: 0.1003 d4.dn_loss_bbox: 0.1725 d4.dn_loss_iou: 0.2239 d1.loss_lmm_region: 0.1362 loss_lmm_image: 0.8812 2024/11/03 01:57:44 - mmengine - INFO - Iter(train) [ 48200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:01:57 time: 0.9800 data_time: 0.0178 memory: 20593 grad_norm: 22.7826 loss: 11.2574 loss_cls: 0.3477 loss_bbox: 0.1952 loss_iou: 0.3486 d0.loss_cls: 0.3829 d0.loss_bbox: 0.2231 d0.loss_iou: 0.3746 d1.loss_cls: 0.3664 d1.loss_bbox: 0.2039 d1.loss_iou: 0.3544 d2.loss_cls: 0.3593 d2.loss_bbox: 0.1972 d2.loss_iou: 0.3473 d3.loss_cls: 0.3582 d3.loss_bbox: 0.1949 d3.loss_iou: 0.3503 d4.loss_cls: 0.3558 d4.loss_bbox: 0.1895 d4.loss_iou: 0.3436 enc_loss_cls: 0.4058 enc_loss_bbox: 0.2292 enc_loss_iou: 0.3913 dn_loss_cls: 0.0818 dn_loss_bbox: 0.1960 dn_loss_iou: 0.2466 d0.dn_loss_cls: 0.1802 d0.dn_loss_bbox: 0.3706 d0.dn_loss_iou: 0.4045 d1.dn_loss_cls: 0.1170 d1.dn_loss_bbox: 0.2410 d1.dn_loss_iou: 0.2833 d2.dn_loss_cls: 0.1007 d2.dn_loss_bbox: 0.2091 d2.dn_loss_iou: 0.2559 d3.dn_loss_cls: 0.0889 d3.dn_loss_bbox: 0.1980 d3.dn_loss_iou: 0.2482 d4.dn_loss_cls: 0.0821 d4.dn_loss_bbox: 0.1959 d4.dn_loss_iou: 0.2465 d1.loss_lmm_region: 0.1708 loss_lmm_image: 0.8213 2024/11/03 01:59:22 - mmengine - INFO - Iter(train) [ 48300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:00:16 time: 0.9770 data_time: 0.0178 memory: 20070 grad_norm: 23.4444 loss: 9.3473 loss_cls: 0.2696 loss_bbox: 0.1542 loss_iou: 0.2263 d0.loss_cls: 0.3046 d0.loss_bbox: 0.1631 d0.loss_iou: 0.2400 d1.loss_cls: 0.2913 d1.loss_bbox: 0.1548 d1.loss_iou: 0.2288 d2.loss_cls: 0.2828 d2.loss_bbox: 0.1527 d2.loss_iou: 0.2253 d3.loss_cls: 0.2751 d3.loss_bbox: 0.1539 d3.loss_iou: 0.2257 d4.loss_cls: 0.2719 d4.loss_bbox: 0.1532 d4.loss_iou: 0.2261 enc_loss_cls: 0.3248 enc_loss_bbox: 0.1760 enc_loss_iou: 0.2567 dn_loss_cls: 0.0971 dn_loss_bbox: 0.1791 dn_loss_iou: 0.2219 d0.dn_loss_cls: 0.1955 d0.dn_loss_bbox: 0.3496 d0.dn_loss_iou: 0.3794 d1.dn_loss_cls: 0.1368 d1.dn_loss_bbox: 0.2160 d1.dn_loss_iou: 0.2556 d2.dn_loss_cls: 0.1159 d2.dn_loss_bbox: 0.1905 d2.dn_loss_iou: 0.2315 d3.dn_loss_cls: 0.1049 d3.dn_loss_bbox: 0.1817 d3.dn_loss_iou: 0.2238 d4.dn_loss_cls: 0.0983 d4.dn_loss_bbox: 0.1790 d4.dn_loss_iou: 0.2217 d1.loss_lmm_region: 0.1952 loss_lmm_image: 0.8170 2024/11/03 02:01:01 - mmengine - INFO - Iter(train) [ 48400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:58:35 time: 0.9846 data_time: 0.0178 memory: 21243 grad_norm: 24.9675 loss: 10.2321 loss_cls: 0.3112 loss_bbox: 0.1503 loss_iou: 0.3082 d0.loss_cls: 0.3519 d0.loss_bbox: 0.1638 d0.loss_iou: 0.3254 d1.loss_cls: 0.3325 d1.loss_bbox: 0.1526 d1.loss_iou: 0.3147 d2.loss_cls: 0.3238 d2.loss_bbox: 0.1524 d2.loss_iou: 0.3108 d3.loss_cls: 0.3181 d3.loss_bbox: 0.1496 d3.loss_iou: 0.3080 d4.loss_cls: 0.3112 d4.loss_bbox: 0.1504 d4.loss_iou: 0.3078 enc_loss_cls: 0.3613 enc_loss_bbox: 0.1823 enc_loss_iou: 0.3493 dn_loss_cls: 0.0784 dn_loss_bbox: 0.1740 dn_loss_iou: 0.2546 d0.dn_loss_cls: 0.1699 d0.dn_loss_bbox: 0.3146 d0.dn_loss_iou: 0.4047 d1.dn_loss_cls: 0.1125 d1.dn_loss_bbox: 0.2058 d1.dn_loss_iou: 0.2879 d2.dn_loss_cls: 0.0913 d2.dn_loss_bbox: 0.1829 d2.dn_loss_iou: 0.2634 d3.dn_loss_cls: 0.0844 d3.dn_loss_bbox: 0.1748 d3.dn_loss_iou: 0.2555 d4.dn_loss_cls: 0.0790 d4.dn_loss_bbox: 0.1739 d4.dn_loss_iou: 0.2544 d1.loss_lmm_region: 0.1757 loss_lmm_image: 0.8585 2024/11/03 02:02:38 - mmengine - INFO - Iter(train) [ 48500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:56:52 time: 0.9778 data_time: 0.0178 memory: 20731 grad_norm: 25.2081 loss: 9.8220 loss_cls: 0.3031 loss_bbox: 0.1386 loss_iou: 0.2408 d0.loss_cls: 0.3278 d0.loss_bbox: 0.1549 d0.loss_iou: 0.2529 d1.loss_cls: 0.3155 d1.loss_bbox: 0.1446 d1.loss_iou: 0.2475 d2.loss_cls: 0.3132 d2.loss_bbox: 0.1387 d2.loss_iou: 0.2397 d3.loss_cls: 0.3091 d3.loss_bbox: 0.1387 d3.loss_iou: 0.2395 d4.loss_cls: 0.3039 d4.loss_bbox: 0.1385 d4.loss_iou: 0.2417 enc_loss_cls: 0.3468 enc_loss_bbox: 0.1705 enc_loss_iou: 0.2739 dn_loss_cls: 0.1084 dn_loss_bbox: 0.2038 dn_loss_iou: 0.2293 d0.dn_loss_cls: 0.2044 d0.dn_loss_bbox: 0.3605 d0.dn_loss_iou: 0.3852 d1.dn_loss_cls: 0.1463 d1.dn_loss_bbox: 0.2376 d1.dn_loss_iou: 0.2660 d2.dn_loss_cls: 0.1256 d2.dn_loss_bbox: 0.2122 d2.dn_loss_iou: 0.2388 d3.dn_loss_cls: 0.1139 d3.dn_loss_bbox: 0.2044 d3.dn_loss_iou: 0.2305 d4.dn_loss_cls: 0.1097 d4.dn_loss_bbox: 0.2038 d4.dn_loss_iou: 0.2292 d1.loss_lmm_region: 0.1589 loss_lmm_image: 0.8743 2024/11/03 02:04:16 - mmengine - INFO - Iter(train) [ 48600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:55:11 time: 0.9916 data_time: 0.0178 memory: 21960 grad_norm: 27.4913 loss: 9.9155 loss_cls: 0.3287 loss_bbox: 0.1614 loss_iou: 0.3068 d0.loss_cls: 0.3680 d0.loss_bbox: 0.1726 d0.loss_iou: 0.3264 d1.loss_cls: 0.3530 d1.loss_bbox: 0.1615 d1.loss_iou: 0.3111 d2.loss_cls: 0.3408 d2.loss_bbox: 0.1587 d2.loss_iou: 0.3067 d3.loss_cls: 0.3383 d3.loss_bbox: 0.1558 d3.loss_iou: 0.2994 d4.loss_cls: 0.3318 d4.loss_bbox: 0.1591 d4.loss_iou: 0.3049 enc_loss_cls: 0.3900 enc_loss_bbox: 0.1813 enc_loss_iou: 0.3467 dn_loss_cls: 0.0719 dn_loss_bbox: 0.1477 dn_loss_iou: 0.2132 d0.dn_loss_cls: 0.1573 d0.dn_loss_bbox: 0.2911 d0.dn_loss_iou: 0.3592 d1.dn_loss_cls: 0.1049 d1.dn_loss_bbox: 0.1798 d1.dn_loss_iou: 0.2478 d2.dn_loss_cls: 0.0880 d2.dn_loss_bbox: 0.1545 d2.dn_loss_iou: 0.2226 d3.dn_loss_cls: 0.0780 d3.dn_loss_bbox: 0.1486 d3.dn_loss_iou: 0.2140 d4.dn_loss_cls: 0.0722 d4.dn_loss_bbox: 0.1477 d4.dn_loss_iou: 0.2132 d1.loss_lmm_region: 0.1425 loss_lmm_image: 0.8582 2024/11/03 02:05:54 - mmengine - INFO - Iter(train) [ 48700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:53:29 time: 0.9753 data_time: 0.0179 memory: 21117 grad_norm: 21.9920 loss: 9.4767 loss_cls: 0.2880 loss_bbox: 0.1355 loss_iou: 0.2314 d0.loss_cls: 0.3176 d0.loss_bbox: 0.1550 d0.loss_iou: 0.2514 d1.loss_cls: 0.3039 d1.loss_bbox: 0.1446 d1.loss_iou: 0.2427 d2.loss_cls: 0.2958 d2.loss_bbox: 0.1393 d2.loss_iou: 0.2370 d3.loss_cls: 0.2901 d3.loss_bbox: 0.1366 d3.loss_iou: 0.2313 d4.loss_cls: 0.2881 d4.loss_bbox: 0.1359 d4.loss_iou: 0.2320 enc_loss_cls: 0.3323 enc_loss_bbox: 0.1722 enc_loss_iou: 0.2790 dn_loss_cls: 0.0820 dn_loss_bbox: 0.2077 dn_loss_iou: 0.2384 d0.dn_loss_cls: 0.1647 d0.dn_loss_bbox: 0.3722 d0.dn_loss_iou: 0.3944 d1.dn_loss_cls: 0.1136 d1.dn_loss_bbox: 0.2411 d1.dn_loss_iou: 0.2737 d2.dn_loss_cls: 0.0972 d2.dn_loss_bbox: 0.2165 d2.dn_loss_iou: 0.2486 d3.dn_loss_cls: 0.0854 d3.dn_loss_bbox: 0.2091 d3.dn_loss_iou: 0.2398 d4.dn_loss_cls: 0.0829 d4.dn_loss_bbox: 0.2077 d4.dn_loss_iou: 0.2383 d1.loss_lmm_region: 0.1202 loss_lmm_image: 0.8034 2024/11/03 02:07:32 - mmengine - INFO - Iter(train) [ 48800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:51:48 time: 0.9774 data_time: 0.0178 memory: 19636 grad_norm: 23.7194 loss: 8.3971 loss_cls: 0.2460 loss_bbox: 0.1122 loss_iou: 0.2136 d0.loss_cls: 0.2786 d0.loss_bbox: 0.1213 d0.loss_iou: 0.2258 d1.loss_cls: 0.2585 d1.loss_bbox: 0.1170 d1.loss_iou: 0.2208 d2.loss_cls: 0.2546 d2.loss_bbox: 0.1143 d2.loss_iou: 0.2160 d3.loss_cls: 0.2518 d3.loss_bbox: 0.1126 d3.loss_iou: 0.2142 d4.loss_cls: 0.2477 d4.loss_bbox: 0.1120 d4.loss_iou: 0.2143 enc_loss_cls: 0.2907 enc_loss_bbox: 0.1339 enc_loss_iou: 0.2420 dn_loss_cls: 0.0919 dn_loss_bbox: 0.1546 dn_loss_iou: 0.1989 d0.dn_loss_cls: 0.1695 d0.dn_loss_bbox: 0.3030 d0.dn_loss_iou: 0.3359 d1.dn_loss_cls: 0.1176 d1.dn_loss_bbox: 0.1882 d1.dn_loss_iou: 0.2307 d2.dn_loss_cls: 0.1042 d2.dn_loss_bbox: 0.1619 d2.dn_loss_iou: 0.2063 d3.dn_loss_cls: 0.0983 d3.dn_loss_bbox: 0.1552 d3.dn_loss_iou: 0.1997 d4.dn_loss_cls: 0.0942 d4.dn_loss_bbox: 0.1547 d4.dn_loss_iou: 0.1989 d1.loss_lmm_region: 0.1418 loss_lmm_image: 0.8938 2024/11/03 02:09:11 - mmengine - INFO - Iter(train) [ 48900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:50:08 time: 0.9921 data_time: 0.0179 memory: 20944 grad_norm: 21.7622 loss: 9.8186 loss_cls: 0.2870 loss_bbox: 0.1498 loss_iou: 0.2870 d0.loss_cls: 0.3173 d0.loss_bbox: 0.1617 d0.loss_iou: 0.3059 d1.loss_cls: 0.3068 d1.loss_bbox: 0.1526 d1.loss_iou: 0.2936 d2.loss_cls: 0.2995 d2.loss_bbox: 0.1487 d2.loss_iou: 0.2887 d3.loss_cls: 0.2917 d3.loss_bbox: 0.1491 d3.loss_iou: 0.2858 d4.loss_cls: 0.2881 d4.loss_bbox: 0.1480 d4.loss_iou: 0.2855 enc_loss_cls: 0.3406 enc_loss_bbox: 0.1729 enc_loss_iou: 0.3272 dn_loss_cls: 0.0816 dn_loss_bbox: 0.1782 dn_loss_iou: 0.2373 d0.dn_loss_cls: 0.1795 d0.dn_loss_bbox: 0.3315 d0.dn_loss_iou: 0.3926 d1.dn_loss_cls: 0.1174 d1.dn_loss_bbox: 0.2113 d1.dn_loss_iou: 0.2716 d2.dn_loss_cls: 0.0969 d2.dn_loss_bbox: 0.1862 d2.dn_loss_iou: 0.2457 d3.dn_loss_cls: 0.0859 d3.dn_loss_bbox: 0.1795 d3.dn_loss_iou: 0.2388 d4.dn_loss_cls: 0.0813 d4.dn_loss_bbox: 0.1782 d4.dn_loss_iou: 0.2373 d1.loss_lmm_region: 0.1507 loss_lmm_image: 0.8494 2024/11/03 02:10:49 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 02:10:49 - mmengine - INFO - Iter(train) [ 49000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:48:26 time: 0.9778 data_time: 0.0178 memory: 21002 grad_norm: 23.2292 loss: 11.1234 loss_cls: 0.3884 loss_bbox: 0.1634 loss_iou: 0.3099 d0.loss_cls: 0.4222 d0.loss_bbox: 0.1846 d0.loss_iou: 0.3385 d1.loss_cls: 0.4030 d1.loss_bbox: 0.1765 d1.loss_iou: 0.3220 d2.loss_cls: 0.3956 d2.loss_bbox: 0.1652 d2.loss_iou: 0.3121 d3.loss_cls: 0.3976 d3.loss_bbox: 0.1609 d3.loss_iou: 0.3093 d4.loss_cls: 0.3885 d4.loss_bbox: 0.1629 d4.loss_iou: 0.3104 enc_loss_cls: 0.4394 enc_loss_bbox: 0.1994 enc_loss_iou: 0.3590 dn_loss_cls: 0.1110 dn_loss_bbox: 0.1849 dn_loss_iou: 0.2431 d0.dn_loss_cls: 0.1902 d0.dn_loss_bbox: 0.3525 d0.dn_loss_iou: 0.4056 d1.dn_loss_cls: 0.1402 d1.dn_loss_bbox: 0.2244 d1.dn_loss_iou: 0.2823 d2.dn_loss_cls: 0.1246 d2.dn_loss_bbox: 0.1921 d2.dn_loss_iou: 0.2533 d3.dn_loss_cls: 0.1149 d3.dn_loss_bbox: 0.1857 d3.dn_loss_iou: 0.2448 d4.dn_loss_cls: 0.1112 d4.dn_loss_bbox: 0.1848 d4.dn_loss_iou: 0.2432 d1.loss_lmm_region: 0.1478 loss_lmm_image: 0.8779 2024/11/03 02:12:26 - mmengine - INFO - Iter(train) [ 49100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:46:44 time: 0.9831 data_time: 0.0178 memory: 20782 grad_norm: 23.5599 loss: 9.3767 loss_cls: 0.2922 loss_bbox: 0.1346 loss_iou: 0.2545 d0.loss_cls: 0.3213 d0.loss_bbox: 0.1508 d0.loss_iou: 0.2753 d1.loss_cls: 0.3045 d1.loss_bbox: 0.1433 d1.loss_iou: 0.2654 d2.loss_cls: 0.3023 d2.loss_bbox: 0.1350 d2.loss_iou: 0.2562 d3.loss_cls: 0.2977 d3.loss_bbox: 0.1357 d3.loss_iou: 0.2557 d4.loss_cls: 0.2918 d4.loss_bbox: 0.1368 d4.loss_iou: 0.2557 enc_loss_cls: 0.3346 enc_loss_bbox: 0.1720 enc_loss_iou: 0.3064 dn_loss_cls: 0.1068 dn_loss_bbox: 0.1601 dn_loss_iou: 0.2046 d0.dn_loss_cls: 0.1908 d0.dn_loss_bbox: 0.3044 d0.dn_loss_iou: 0.3500 d1.dn_loss_cls: 0.1347 d1.dn_loss_bbox: 0.1862 d1.dn_loss_iou: 0.2337 d2.dn_loss_cls: 0.1202 d2.dn_loss_bbox: 0.1650 d2.dn_loss_iou: 0.2121 d3.dn_loss_cls: 0.1108 d3.dn_loss_bbox: 0.1617 d3.dn_loss_iou: 0.2061 d4.dn_loss_cls: 0.1074 d4.dn_loss_bbox: 0.1601 d4.dn_loss_iou: 0.2047 d1.loss_lmm_region: 0.1586 loss_lmm_image: 0.8766 2024/11/03 02:14:05 - mmengine - INFO - Iter(train) [ 49200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:45:03 time: 0.9813 data_time: 0.0177 memory: 20788 grad_norm: 24.7415 loss: 10.6050 loss_cls: 0.3749 loss_bbox: 0.1537 loss_iou: 0.3120 d0.loss_cls: 0.4179 d0.loss_bbox: 0.1790 d0.loss_iou: 0.3417 d1.loss_cls: 0.3952 d1.loss_bbox: 0.1632 d1.loss_iou: 0.3259 d2.loss_cls: 0.3902 d2.loss_bbox: 0.1576 d2.loss_iou: 0.3169 d3.loss_cls: 0.3807 d3.loss_bbox: 0.1554 d3.loss_iou: 0.3132 d4.loss_cls: 0.3760 d4.loss_bbox: 0.1531 d4.loss_iou: 0.3117 enc_loss_cls: 0.4323 enc_loss_bbox: 0.1894 enc_loss_iou: 0.3580 dn_loss_cls: 0.0957 dn_loss_bbox: 0.1658 dn_loss_iou: 0.2128 d0.dn_loss_cls: 0.1832 d0.dn_loss_bbox: 0.3146 d0.dn_loss_iou: 0.3570 d1.dn_loss_cls: 0.1318 d1.dn_loss_bbox: 0.1951 d1.dn_loss_iou: 0.2452 d2.dn_loss_cls: 0.1134 d2.dn_loss_bbox: 0.1713 d2.dn_loss_iou: 0.2210 d3.dn_loss_cls: 0.1017 d3.dn_loss_bbox: 0.1658 d3.dn_loss_iou: 0.2138 d4.dn_loss_cls: 0.0959 d4.dn_loss_bbox: 0.1658 d4.dn_loss_iou: 0.2128 d1.loss_lmm_region: 0.1453 loss_lmm_image: 0.8994 2024/11/03 02:15:42 - mmengine - INFO - Iter(train) [ 49300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:43:21 time: 0.9756 data_time: 0.0179 memory: 21074 grad_norm: 21.7151 loss: 10.3125 loss_cls: 0.3430 loss_bbox: 0.1566 loss_iou: 0.2808 d0.loss_cls: 0.3796 d0.loss_bbox: 0.1775 d0.loss_iou: 0.3048 d1.loss_cls: 0.3602 d1.loss_bbox: 0.1664 d1.loss_iou: 0.2946 d2.loss_cls: 0.3515 d2.loss_bbox: 0.1547 d2.loss_iou: 0.2836 d3.loss_cls: 0.3451 d3.loss_bbox: 0.1591 d3.loss_iou: 0.2847 d4.loss_cls: 0.3446 d4.loss_bbox: 0.1564 d4.loss_iou: 0.2808 enc_loss_cls: 0.3982 enc_loss_bbox: 0.1914 enc_loss_iou: 0.3273 dn_loss_cls: 0.0888 dn_loss_bbox: 0.1873 dn_loss_iou: 0.2267 d0.dn_loss_cls: 0.1839 d0.dn_loss_bbox: 0.3429 d0.dn_loss_iou: 0.3790 d1.dn_loss_cls: 0.1199 d1.dn_loss_bbox: 0.2171 d1.dn_loss_iou: 0.2585 d2.dn_loss_cls: 0.1042 d2.dn_loss_bbox: 0.1969 d2.dn_loss_iou: 0.2355 d3.dn_loss_cls: 0.0933 d3.dn_loss_bbox: 0.1879 d3.dn_loss_iou: 0.2280 d4.dn_loss_cls: 0.0885 d4.dn_loss_bbox: 0.1872 d4.dn_loss_iou: 0.2266 d1.loss_lmm_region: 0.1509 loss_lmm_image: 0.8683 2024/11/03 02:17:21 - mmengine - INFO - Iter(train) [ 49400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:41:40 time: 0.9707 data_time: 0.0178 memory: 20976 grad_norm: 24.5770 loss: 9.6147 loss_cls: 0.3120 loss_bbox: 0.1440 loss_iou: 0.2617 d0.loss_cls: 0.3434 d0.loss_bbox: 0.1617 d0.loss_iou: 0.2840 d1.loss_cls: 0.3289 d1.loss_bbox: 0.1510 d1.loss_iou: 0.2704 d2.loss_cls: 0.3285 d2.loss_bbox: 0.1405 d2.loss_iou: 0.2578 d3.loss_cls: 0.3173 d3.loss_bbox: 0.1433 d3.loss_iou: 0.2620 d4.loss_cls: 0.3126 d4.loss_bbox: 0.1455 d4.loss_iou: 0.2622 enc_loss_cls: 0.3586 enc_loss_bbox: 0.1712 enc_loss_iou: 0.2997 dn_loss_cls: 0.0962 dn_loss_bbox: 0.1655 dn_loss_iou: 0.2129 d0.dn_loss_cls: 0.1703 d0.dn_loss_bbox: 0.3012 d0.dn_loss_iou: 0.3469 d1.dn_loss_cls: 0.1242 d1.dn_loss_bbox: 0.1992 d1.dn_loss_iou: 0.2448 d2.dn_loss_cls: 0.1125 d2.dn_loss_bbox: 0.1729 d2.dn_loss_iou: 0.2218 d3.dn_loss_cls: 0.1023 d3.dn_loss_bbox: 0.1652 d3.dn_loss_iou: 0.2140 d4.dn_loss_cls: 0.0967 d4.dn_loss_bbox: 0.1655 d4.dn_loss_iou: 0.2128 d1.loss_lmm_region: 0.1643 loss_lmm_image: 0.8695 2024/11/03 02:18:59 - mmengine - INFO - Iter(train) [ 49500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:39:59 time: 0.9804 data_time: 0.0178 memory: 21591 grad_norm: 21.5324 loss: 10.5092 loss_cls: 0.3281 loss_bbox: 0.1580 loss_iou: 0.2806 d0.loss_cls: 0.3477 d0.loss_bbox: 0.1808 d0.loss_iou: 0.3111 d1.loss_cls: 0.3370 d1.loss_bbox: 0.1731 d1.loss_iou: 0.2951 d2.loss_cls: 0.3338 d2.loss_bbox: 0.1657 d2.loss_iou: 0.2860 d3.loss_cls: 0.3305 d3.loss_bbox: 0.1642 d3.loss_iou: 0.2840 d4.loss_cls: 0.3255 d4.loss_bbox: 0.1635 d4.loss_iou: 0.2834 enc_loss_cls: 0.3662 enc_loss_bbox: 0.1912 enc_loss_iou: 0.3268 dn_loss_cls: 0.1071 dn_loss_bbox: 0.1917 dn_loss_iou: 0.2455 d0.dn_loss_cls: 0.2005 d0.dn_loss_bbox: 0.3492 d0.dn_loss_iou: 0.3997 d1.dn_loss_cls: 0.1479 d1.dn_loss_bbox: 0.2246 d1.dn_loss_iou: 0.2791 d2.dn_loss_cls: 0.1309 d2.dn_loss_bbox: 0.2012 d2.dn_loss_iou: 0.2550 d3.dn_loss_cls: 0.1175 d3.dn_loss_bbox: 0.1932 d3.dn_loss_iou: 0.2472 d4.dn_loss_cls: 0.1096 d4.dn_loss_bbox: 0.1917 d4.dn_loss_iou: 0.2454 d1.loss_lmm_region: 0.1999 loss_lmm_image: 0.8396 2024/11/03 02:20:36 - mmengine - INFO - Iter(train) [ 49600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:38:17 time: 0.9829 data_time: 0.0177 memory: 21715 grad_norm: 23.5445 loss: 8.7664 loss_cls: 0.2679 loss_bbox: 0.1188 loss_iou: 0.1917 d0.loss_cls: 0.2982 d0.loss_bbox: 0.1407 d0.loss_iou: 0.2135 d1.loss_cls: 0.2821 d1.loss_bbox: 0.1298 d1.loss_iou: 0.2029 d2.loss_cls: 0.2750 d2.loss_bbox: 0.1218 d2.loss_iou: 0.1951 d3.loss_cls: 0.2719 d3.loss_bbox: 0.1189 d3.loss_iou: 0.1916 d4.loss_cls: 0.2686 d4.loss_bbox: 0.1192 d4.loss_iou: 0.1918 enc_loss_cls: 0.3146 enc_loss_bbox: 0.1514 enc_loss_iou: 0.2360 dn_loss_cls: 0.1039 dn_loss_bbox: 0.1862 dn_loss_iou: 0.2027 d0.dn_loss_cls: 0.1687 d0.dn_loss_bbox: 0.3518 d0.dn_loss_iou: 0.3509 d1.dn_loss_cls: 0.1263 d1.dn_loss_bbox: 0.2243 d1.dn_loss_iou: 0.2349 d2.dn_loss_cls: 0.1148 d2.dn_loss_bbox: 0.1956 d2.dn_loss_iou: 0.2102 d3.dn_loss_cls: 0.1089 d3.dn_loss_bbox: 0.1880 d3.dn_loss_iou: 0.2037 d4.dn_loss_cls: 0.1057 d4.dn_loss_bbox: 0.1861 d4.dn_loss_iou: 0.2026 d1.loss_lmm_region: 0.1669 loss_lmm_image: 0.8326 2024/11/03 02:22:14 - mmengine - INFO - Iter(train) [ 49700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:36:35 time: 0.9755 data_time: 0.0179 memory: 21094 grad_norm: 23.0814 loss: 10.0837 loss_cls: 0.3145 loss_bbox: 0.1544 loss_iou: 0.2706 d0.loss_cls: 0.3440 d0.loss_bbox: 0.1788 d0.loss_iou: 0.2981 d1.loss_cls: 0.3302 d1.loss_bbox: 0.1568 d1.loss_iou: 0.2788 d2.loss_cls: 0.3231 d2.loss_bbox: 0.1547 d2.loss_iou: 0.2718 d3.loss_cls: 0.3196 d3.loss_bbox: 0.1526 d3.loss_iou: 0.2702 d4.loss_cls: 0.3141 d4.loss_bbox: 0.1558 d4.loss_iou: 0.2715 enc_loss_cls: 0.3639 enc_loss_bbox: 0.1945 enc_loss_iou: 0.3182 dn_loss_cls: 0.1260 dn_loss_bbox: 0.1810 dn_loss_iou: 0.2173 d0.dn_loss_cls: 0.1904 d0.dn_loss_bbox: 0.3325 d0.dn_loss_iou: 0.3640 d1.dn_loss_cls: 0.1417 d1.dn_loss_bbox: 0.2145 d1.dn_loss_iou: 0.2503 d2.dn_loss_cls: 0.1301 d2.dn_loss_bbox: 0.1882 d2.dn_loss_iou: 0.2248 d3.dn_loss_cls: 0.1241 d3.dn_loss_bbox: 0.1809 d3.dn_loss_iou: 0.2183 d4.dn_loss_cls: 0.1257 d4.dn_loss_bbox: 0.1809 d4.dn_loss_iou: 0.2173 d1.loss_lmm_region: 0.1866 loss_lmm_image: 0.8530 2024/11/03 02:23:53 - mmengine - INFO - Iter(train) [ 49800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:34:55 time: 1.0006 data_time: 0.0178 memory: 21084 grad_norm: 20.7302 loss: 10.3593 loss_cls: 0.3169 loss_bbox: 0.1556 loss_iou: 0.2930 d0.loss_cls: 0.3547 d0.loss_bbox: 0.1720 d0.loss_iou: 0.3113 d1.loss_cls: 0.3369 d1.loss_bbox: 0.1593 d1.loss_iou: 0.2961 d2.loss_cls: 0.3262 d2.loss_bbox: 0.1573 d2.loss_iou: 0.2936 d3.loss_cls: 0.3208 d3.loss_bbox: 0.1542 d3.loss_iou: 0.2905 d4.loss_cls: 0.3156 d4.loss_bbox: 0.1574 d4.loss_iou: 0.2953 enc_loss_cls: 0.3724 enc_loss_bbox: 0.1870 enc_loss_iou: 0.3377 dn_loss_cls: 0.1083 dn_loss_bbox: 0.1803 dn_loss_iou: 0.2460 d0.dn_loss_cls: 0.1951 d0.dn_loss_bbox: 0.3347 d0.dn_loss_iou: 0.4085 d1.dn_loss_cls: 0.1387 d1.dn_loss_bbox: 0.2132 d1.dn_loss_iou: 0.2839 d2.dn_loss_cls: 0.1178 d2.dn_loss_bbox: 0.1864 d2.dn_loss_iou: 0.2542 d3.dn_loss_cls: 0.1122 d3.dn_loss_bbox: 0.1805 d3.dn_loss_iou: 0.2468 d4.dn_loss_cls: 0.1086 d4.dn_loss_bbox: 0.1804 d4.dn_loss_iou: 0.2460 d1.loss_lmm_region: 0.1652 loss_lmm_image: 0.8486 2024/11/03 02:25:30 - mmengine - INFO - Iter(train) [ 49900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:33:13 time: 0.9718 data_time: 0.0177 memory: 20804 grad_norm: 19.9054 loss: 10.5954 loss_cls: 0.3752 loss_bbox: 0.1656 loss_iou: 0.2884 d0.loss_cls: 0.3948 d0.loss_bbox: 0.1828 d0.loss_iou: 0.3078 d1.loss_cls: 0.3882 d1.loss_bbox: 0.1698 d1.loss_iou: 0.2919 d2.loss_cls: 0.3846 d2.loss_bbox: 0.1639 d2.loss_iou: 0.2842 d3.loss_cls: 0.3799 d3.loss_bbox: 0.1639 d3.loss_iou: 0.2878 d4.loss_cls: 0.3817 d4.loss_bbox: 0.1626 d4.loss_iou: 0.2852 enc_loss_cls: 0.4132 enc_loss_bbox: 0.1967 enc_loss_iou: 0.3291 dn_loss_cls: 0.0951 dn_loss_bbox: 0.1730 dn_loss_iou: 0.2272 d0.dn_loss_cls: 0.1979 d0.dn_loss_bbox: 0.3364 d0.dn_loss_iou: 0.3805 d1.dn_loss_cls: 0.1348 d1.dn_loss_bbox: 0.2103 d1.dn_loss_iou: 0.2616 d2.dn_loss_cls: 0.1102 d2.dn_loss_bbox: 0.1838 d2.dn_loss_iou: 0.2363 d3.dn_loss_cls: 0.1009 d3.dn_loss_bbox: 0.1738 d3.dn_loss_iou: 0.2282 d4.dn_loss_cls: 0.0955 d4.dn_loss_bbox: 0.1730 d4.dn_loss_iou: 0.2270 d1.loss_lmm_region: 0.1788 loss_lmm_image: 0.8736 2024/11/03 02:27:08 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 02:27:08 - mmengine - INFO - Iter(train) [ 50000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:31:32 time: 0.9821 data_time: 0.0178 memory: 20381 grad_norm: 25.7084 loss: 7.5279 loss_cls: 0.2391 loss_bbox: 0.0998 loss_iou: 0.1974 d0.loss_cls: 0.2632 d0.loss_bbox: 0.1105 d0.loss_iou: 0.2121 d1.loss_cls: 0.2519 d1.loss_bbox: 0.1028 d1.loss_iou: 0.2046 d2.loss_cls: 0.2508 d2.loss_bbox: 0.0995 d2.loss_iou: 0.1970 d3.loss_cls: 0.2439 d3.loss_bbox: 0.0991 d3.loss_iou: 0.1963 d4.loss_cls: 0.2399 d4.loss_bbox: 0.0998 d4.loss_iou: 0.1971 enc_loss_cls: 0.2789 enc_loss_bbox: 0.1214 enc_loss_iou: 0.2342 dn_loss_cls: 0.0735 dn_loss_bbox: 0.1136 dn_loss_iou: 0.1733 d0.dn_loss_cls: 0.1457 d0.dn_loss_bbox: 0.2581 d0.dn_loss_iou: 0.3129 d1.dn_loss_cls: 0.0976 d1.dn_loss_bbox: 0.1454 d1.dn_loss_iou: 0.2026 d2.dn_loss_cls: 0.0836 d2.dn_loss_bbox: 0.1242 d2.dn_loss_iou: 0.1809 d3.dn_loss_cls: 0.0768 d3.dn_loss_bbox: 0.1153 d3.dn_loss_iou: 0.1744 d4.dn_loss_cls: 0.0739 d4.dn_loss_bbox: 0.1137 d4.dn_loss_iou: 0.1732 d1.loss_lmm_region: 0.1377 loss_lmm_image: 0.8126 2024/11/03 02:28:46 - mmengine - INFO - Iter(train) [ 50100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:29:51 time: 0.9761 data_time: 0.0178 memory: 21412 grad_norm: 26.2508 loss: 10.6453 loss_cls: 0.3523 loss_bbox: 0.1517 loss_iou: 0.3053 d0.loss_cls: 0.3997 d0.loss_bbox: 0.1692 d0.loss_iou: 0.3280 d1.loss_cls: 0.3713 d1.loss_bbox: 0.1598 d1.loss_iou: 0.3144 d2.loss_cls: 0.3608 d2.loss_bbox: 0.1532 d2.loss_iou: 0.3069 d3.loss_cls: 0.3586 d3.loss_bbox: 0.1530 d3.loss_iou: 0.3058 d4.loss_cls: 0.3549 d4.loss_bbox: 0.1510 d4.loss_iou: 0.3046 enc_loss_cls: 0.4078 enc_loss_bbox: 0.1873 enc_loss_iou: 0.3576 dn_loss_cls: 0.1105 dn_loss_bbox: 0.1728 dn_loss_iou: 0.2360 d0.dn_loss_cls: 0.2006 d0.dn_loss_bbox: 0.3479 d0.dn_loss_iou: 0.4015 d1.dn_loss_cls: 0.1401 d1.dn_loss_bbox: 0.2142 d1.dn_loss_iou: 0.2771 d2.dn_loss_cls: 0.1192 d2.dn_loss_bbox: 0.1855 d2.dn_loss_iou: 0.2476 d3.dn_loss_cls: 0.1122 d3.dn_loss_bbox: 0.1740 d3.dn_loss_iou: 0.2372 d4.dn_loss_cls: 0.1064 d4.dn_loss_bbox: 0.1728 d4.dn_loss_iou: 0.2360 d1.loss_lmm_region: 0.1624 loss_lmm_image: 0.8377 2024/11/03 02:30:25 - mmengine - INFO - Iter(train) [ 50200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:28:11 time: 0.9891 data_time: 0.0178 memory: 22746 grad_norm: 21.8111 loss: 9.3732 loss_cls: 0.3051 loss_bbox: 0.1338 loss_iou: 0.2360 d0.loss_cls: 0.3363 d0.loss_bbox: 0.1555 d0.loss_iou: 0.2513 d1.loss_cls: 0.3206 d1.loss_bbox: 0.1389 d1.loss_iou: 0.2388 d2.loss_cls: 0.3157 d2.loss_bbox: 0.1329 d2.loss_iou: 0.2337 d3.loss_cls: 0.3144 d3.loss_bbox: 0.1314 d3.loss_iou: 0.2298 d4.loss_cls: 0.3028 d4.loss_bbox: 0.1359 d4.loss_iou: 0.2373 enc_loss_cls: 0.3525 enc_loss_bbox: 0.1684 enc_loss_iou: 0.2758 dn_loss_cls: 0.0882 dn_loss_bbox: 0.1737 dn_loss_iou: 0.2125 d0.dn_loss_cls: 0.1794 d0.dn_loss_bbox: 0.3221 d0.dn_loss_iou: 0.3576 d1.dn_loss_cls: 0.1180 d1.dn_loss_bbox: 0.2098 d1.dn_loss_iou: 0.2470 d2.dn_loss_cls: 0.1022 d2.dn_loss_bbox: 0.1815 d2.dn_loss_iou: 0.2195 d3.dn_loss_cls: 0.0925 d3.dn_loss_bbox: 0.1750 d3.dn_loss_iou: 0.2140 d4.dn_loss_cls: 0.0887 d4.dn_loss_bbox: 0.1735 d4.dn_loss_iou: 0.2125 d1.loss_lmm_region: 0.1764 loss_lmm_image: 0.8820 2024/11/03 02:32:03 - mmengine - INFO - Iter(train) [ 50300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:26:29 time: 0.9885 data_time: 0.0177 memory: 22717 grad_norm: 22.4907 loss: 9.1546 loss_cls: 0.2828 loss_bbox: 0.1260 loss_iou: 0.2553 d0.loss_cls: 0.3197 d0.loss_bbox: 0.1410 d0.loss_iou: 0.2733 d1.loss_cls: 0.3017 d1.loss_bbox: 0.1317 d1.loss_iou: 0.2612 d2.loss_cls: 0.2963 d2.loss_bbox: 0.1277 d2.loss_iou: 0.2583 d3.loss_cls: 0.2921 d3.loss_bbox: 0.1268 d3.loss_iou: 0.2588 d4.loss_cls: 0.2845 d4.loss_bbox: 0.1266 d4.loss_iou: 0.2562 enc_loss_cls: 0.3310 enc_loss_bbox: 0.1561 enc_loss_iou: 0.2963 dn_loss_cls: 0.0886 dn_loss_bbox: 0.1485 dn_loss_iou: 0.2132 d0.dn_loss_cls: 0.1776 d0.dn_loss_bbox: 0.3154 d0.dn_loss_iou: 0.3669 d1.dn_loss_cls: 0.1174 d1.dn_loss_bbox: 0.1856 d1.dn_loss_iou: 0.2464 d2.dn_loss_cls: 0.1022 d2.dn_loss_bbox: 0.1577 d2.dn_loss_iou: 0.2214 d3.dn_loss_cls: 0.0951 d3.dn_loss_bbox: 0.1498 d3.dn_loss_iou: 0.2144 d4.dn_loss_cls: 0.0903 d4.dn_loss_bbox: 0.1485 d4.dn_loss_iou: 0.2131 d1.loss_lmm_region: 0.1513 loss_lmm_image: 0.8476 2024/11/03 02:33:41 - mmengine - INFO - Iter(train) [ 50400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:24:47 time: 0.9624 data_time: 0.0179 memory: 21223 grad_norm: 21.7712 loss: 9.6165 loss_cls: 0.2843 loss_bbox: 0.1336 loss_iou: 0.2876 d0.loss_cls: 0.3107 d0.loss_bbox: 0.1583 d0.loss_iou: 0.3170 d1.loss_cls: 0.2977 d1.loss_bbox: 0.1391 d1.loss_iou: 0.2981 d2.loss_cls: 0.2894 d2.loss_bbox: 0.1373 d2.loss_iou: 0.2931 d3.loss_cls: 0.2861 d3.loss_bbox: 0.1343 d3.loss_iou: 0.2891 d4.loss_cls: 0.2870 d4.loss_bbox: 0.1315 d4.loss_iou: 0.2869 enc_loss_cls: 0.3333 enc_loss_bbox: 0.1716 enc_loss_iou: 0.3397 dn_loss_cls: 0.0852 dn_loss_bbox: 0.1654 dn_loss_iou: 0.2281 d0.dn_loss_cls: 0.1619 d0.dn_loss_bbox: 0.3137 d0.dn_loss_iou: 0.3743 d1.dn_loss_cls: 0.1139 d1.dn_loss_bbox: 0.2000 d1.dn_loss_iou: 0.2633 d2.dn_loss_cls: 0.0964 d2.dn_loss_bbox: 0.1762 d2.dn_loss_iou: 0.2386 d3.dn_loss_cls: 0.0872 d3.dn_loss_bbox: 0.1666 d3.dn_loss_iou: 0.2292 d4.dn_loss_cls: 0.0839 d4.dn_loss_bbox: 0.1653 d4.dn_loss_iou: 0.2280 d1.loss_lmm_region: 0.1705 loss_lmm_image: 0.8629 2024/11/03 02:35:18 - mmengine - INFO - Iter(train) [ 50500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:23:05 time: 0.9738 data_time: 0.0179 memory: 20255 grad_norm: 25.8820 loss: 9.7886 loss_cls: 0.2701 loss_bbox: 0.1485 loss_iou: 0.2778 d0.loss_cls: 0.2959 d0.loss_bbox: 0.1609 d0.loss_iou: 0.2948 d1.loss_cls: 0.2818 d1.loss_bbox: 0.1525 d1.loss_iou: 0.2845 d2.loss_cls: 0.2828 d2.loss_bbox: 0.1454 d2.loss_iou: 0.2776 d3.loss_cls: 0.2752 d3.loss_bbox: 0.1458 d3.loss_iou: 0.2791 d4.loss_cls: 0.2757 d4.loss_bbox: 0.1440 d4.loss_iou: 0.2748 enc_loss_cls: 0.3139 enc_loss_bbox: 0.1720 enc_loss_iou: 0.3140 dn_loss_cls: 0.1121 dn_loss_bbox: 0.1843 dn_loss_iou: 0.2394 d0.dn_loss_cls: 0.1922 d0.dn_loss_bbox: 0.3408 d0.dn_loss_iou: 0.3968 d1.dn_loss_cls: 0.1373 d1.dn_loss_bbox: 0.2167 d1.dn_loss_iou: 0.2736 d2.dn_loss_cls: 0.1206 d2.dn_loss_bbox: 0.1913 d2.dn_loss_iou: 0.2479 d3.dn_loss_cls: 0.1140 d3.dn_loss_bbox: 0.1858 d3.dn_loss_iou: 0.2409 d4.dn_loss_cls: 0.1108 d4.dn_loss_bbox: 0.1845 d4.dn_loss_iou: 0.2394 d1.loss_lmm_region: 0.1429 loss_lmm_image: 0.8502 2024/11/03 02:36:56 - mmengine - INFO - Iter(train) [ 50600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:21:23 time: 0.9683 data_time: 0.0179 memory: 20517 grad_norm: nan loss: 10.2912 loss_cls: 0.3175 loss_bbox: 0.1579 loss_iou: 0.2742 d0.loss_cls: 0.3577 d0.loss_bbox: 0.1665 d0.loss_iou: 0.2875 d1.loss_cls: 0.3443 d1.loss_bbox: 0.1572 d1.loss_iou: 0.2790 d2.loss_cls: 0.3326 d2.loss_bbox: 0.1544 d2.loss_iou: 0.2759 d3.loss_cls: 0.3280 d3.loss_bbox: 0.1511 d3.loss_iou: 0.2705 d4.loss_cls: 0.3211 d4.loss_bbox: 0.1561 d4.loss_iou: 0.2718 enc_loss_cls: 0.3744 enc_loss_bbox: 0.1811 enc_loss_iou: 0.3105 dn_loss_cls: 0.1013 dn_loss_bbox: 0.1850 dn_loss_iou: 0.2455 d0.dn_loss_cls: 0.1953 d0.dn_loss_bbox: 0.3592 d0.dn_loss_iou: 0.4122 d1.dn_loss_cls: 0.1331 d1.dn_loss_bbox: 0.2282 d1.dn_loss_iou: 0.2840 d2.dn_loss_cls: 0.1149 d2.dn_loss_bbox: 0.1972 d2.dn_loss_iou: 0.2558 d3.dn_loss_cls: 0.1045 d3.dn_loss_bbox: 0.1870 d3.dn_loss_iou: 0.2471 d4.dn_loss_cls: 0.1013 d4.dn_loss_bbox: 0.1850 d4.dn_loss_iou: 0.2455 d1.loss_lmm_region: 0.1678 loss_lmm_image: 0.8721 2024/11/03 02:38:35 - mmengine - INFO - Iter(train) [ 50700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:19:43 time: 0.9944 data_time: 0.0179 memory: 21014 grad_norm: 20.8805 loss: 9.7169 loss_cls: 0.3119 loss_bbox: 0.1473 loss_iou: 0.2765 d0.loss_cls: 0.3446 d0.loss_bbox: 0.1684 d0.loss_iou: 0.3040 d1.loss_cls: 0.3240 d1.loss_bbox: 0.1585 d1.loss_iou: 0.2898 d2.loss_cls: 0.3209 d2.loss_bbox: 0.1486 d2.loss_iou: 0.2779 d3.loss_cls: 0.3134 d3.loss_bbox: 0.1472 d3.loss_iou: 0.2776 d4.loss_cls: 0.3128 d4.loss_bbox: 0.1484 d4.loss_iou: 0.2774 enc_loss_cls: 0.3652 enc_loss_bbox: 0.1765 enc_loss_iou: 0.3202 dn_loss_cls: 0.0738 dn_loss_bbox: 0.1617 dn_loss_iou: 0.2228 d0.dn_loss_cls: 0.1602 d0.dn_loss_bbox: 0.2996 d0.dn_loss_iou: 0.3666 d1.dn_loss_cls: 0.1061 d1.dn_loss_bbox: 0.1965 d1.dn_loss_iou: 0.2577 d2.dn_loss_cls: 0.0879 d2.dn_loss_bbox: 0.1706 d2.dn_loss_iou: 0.2316 d3.dn_loss_cls: 0.0786 d3.dn_loss_bbox: 0.1638 d3.dn_loss_iou: 0.2244 d4.dn_loss_cls: 0.0741 d4.dn_loss_bbox: 0.1618 d4.dn_loss_iou: 0.2226 d1.loss_lmm_region: 0.1568 loss_lmm_image: 0.8886 2024/11/03 02:40:12 - mmengine - INFO - Iter(train) [ 50800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:18:02 time: 0.9715 data_time: 0.0179 memory: 21477 grad_norm: 23.9364 loss: 9.4907 loss_cls: 0.3110 loss_bbox: 0.1477 loss_iou: 0.2521 d0.loss_cls: 0.3481 d0.loss_bbox: 0.1625 d0.loss_iou: 0.2666 d1.loss_cls: 0.3297 d1.loss_bbox: 0.1540 d1.loss_iou: 0.2552 d2.loss_cls: 0.3251 d2.loss_bbox: 0.1476 d2.loss_iou: 0.2519 d3.loss_cls: 0.3182 d3.loss_bbox: 0.1460 d3.loss_iou: 0.2505 d4.loss_cls: 0.3136 d4.loss_bbox: 0.1452 d4.loss_iou: 0.2513 enc_loss_cls: 0.3612 enc_loss_bbox: 0.1774 enc_loss_iou: 0.2925 dn_loss_cls: 0.0920 dn_loss_bbox: 0.1679 dn_loss_iou: 0.2016 d0.dn_loss_cls: 0.1704 d0.dn_loss_bbox: 0.3238 d0.dn_loss_iou: 0.3485 d1.dn_loss_cls: 0.1227 d1.dn_loss_bbox: 0.2075 d1.dn_loss_iou: 0.2374 d2.dn_loss_cls: 0.1076 d2.dn_loss_bbox: 0.1788 d2.dn_loss_iou: 0.2112 d3.dn_loss_cls: 0.0963 d3.dn_loss_bbox: 0.1693 d3.dn_loss_iou: 0.2027 d4.dn_loss_cls: 0.0923 d4.dn_loss_bbox: 0.1679 d4.dn_loss_iou: 0.2014 d1.loss_lmm_region: 0.1417 loss_lmm_image: 0.8422 2024/11/03 02:41:51 - mmengine - INFO - Iter(train) [ 50900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:16:23 time: 0.9912 data_time: 0.0178 memory: 20713 grad_norm: 22.3138 loss: 9.5861 loss_cls: 0.2772 loss_bbox: 0.1390 loss_iou: 0.2559 d0.loss_cls: 0.3100 d0.loss_bbox: 0.1516 d0.loss_iou: 0.2695 d1.loss_cls: 0.2948 d1.loss_bbox: 0.1416 d1.loss_iou: 0.2601 d2.loss_cls: 0.2856 d2.loss_bbox: 0.1412 d2.loss_iou: 0.2562 d3.loss_cls: 0.2806 d3.loss_bbox: 0.1394 d3.loss_iou: 0.2549 d4.loss_cls: 0.2732 d4.loss_bbox: 0.1430 d4.loss_iou: 0.2588 enc_loss_cls: 0.3193 enc_loss_bbox: 0.1750 enc_loss_iou: 0.2925 dn_loss_cls: 0.0867 dn_loss_bbox: 0.2007 dn_loss_iou: 0.2410 d0.dn_loss_cls: 0.1705 d0.dn_loss_bbox: 0.3686 d0.dn_loss_iou: 0.3974 d1.dn_loss_cls: 0.1182 d1.dn_loss_bbox: 0.2380 d1.dn_loss_iou: 0.2760 d2.dn_loss_cls: 0.1002 d2.dn_loss_bbox: 0.2083 d2.dn_loss_iou: 0.2493 d3.dn_loss_cls: 0.0903 d3.dn_loss_bbox: 0.2028 d3.dn_loss_iou: 0.2427 d4.dn_loss_cls: 0.0854 d4.dn_loss_bbox: 0.2009 d4.dn_loss_iou: 0.2410 d1.loss_lmm_region: 0.1362 loss_lmm_image: 0.8129 2024/11/03 02:43:30 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 02:43:30 - mmengine - INFO - Iter(train) [ 51000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:14:43 time: 0.9846 data_time: 0.0180 memory: 21396 grad_norm: 22.0556 loss: 8.7482 loss_cls: 0.2783 loss_bbox: 0.1187 loss_iou: 0.2302 d0.loss_cls: 0.3106 d0.loss_bbox: 0.1264 d0.loss_iou: 0.2428 d1.loss_cls: 0.2929 d1.loss_bbox: 0.1229 d1.loss_iou: 0.2348 d2.loss_cls: 0.2870 d2.loss_bbox: 0.1181 d2.loss_iou: 0.2298 d3.loss_cls: 0.2843 d3.loss_bbox: 0.1185 d3.loss_iou: 0.2302 d4.loss_cls: 0.2817 d4.loss_bbox: 0.1186 d4.loss_iou: 0.2296 enc_loss_cls: 0.3317 enc_loss_bbox: 0.1466 enc_loss_iou: 0.2670 dn_loss_cls: 0.0934 dn_loss_bbox: 0.1418 dn_loss_iou: 0.1980 d0.dn_loss_cls: 0.1678 d0.dn_loss_bbox: 0.3022 d0.dn_loss_iou: 0.3554 d1.dn_loss_cls: 0.1172 d1.dn_loss_bbox: 0.1778 d1.dn_loss_iou: 0.2340 d2.dn_loss_cls: 0.1031 d2.dn_loss_bbox: 0.1526 d2.dn_loss_iou: 0.2071 d3.dn_loss_cls: 0.0955 d3.dn_loss_bbox: 0.1434 d3.dn_loss_iou: 0.1995 d4.dn_loss_cls: 0.0942 d4.dn_loss_bbox: 0.1418 d4.dn_loss_iou: 0.1980 d1.loss_lmm_region: 0.1547 loss_lmm_image: 0.8699 2024/11/03 02:45:08 - mmengine - INFO - Iter(train) [ 51100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:13:02 time: 0.9799 data_time: 0.0178 memory: 20502 grad_norm: 20.3171 loss: 10.2840 loss_cls: 0.2934 loss_bbox: 0.1687 loss_iou: 0.3212 d0.loss_cls: 0.3317 d0.loss_bbox: 0.1823 d0.loss_iou: 0.3420 d1.loss_cls: 0.3123 d1.loss_bbox: 0.1732 d1.loss_iou: 0.3268 d2.loss_cls: 0.3075 d2.loss_bbox: 0.1690 d2.loss_iou: 0.3201 d3.loss_cls: 0.3009 d3.loss_bbox: 0.1680 d3.loss_iou: 0.3195 d4.loss_cls: 0.2931 d4.loss_bbox: 0.1683 d4.loss_iou: 0.3216 enc_loss_cls: 0.3563 enc_loss_bbox: 0.1963 enc_loss_iou: 0.3614 dn_loss_cls: 0.0813 dn_loss_bbox: 0.1735 dn_loss_iou: 0.2580 d0.dn_loss_cls: 0.1637 d0.dn_loss_bbox: 0.3229 d0.dn_loss_iou: 0.4132 d1.dn_loss_cls: 0.1082 d1.dn_loss_bbox: 0.2117 d1.dn_loss_iou: 0.2938 d2.dn_loss_cls: 0.0915 d2.dn_loss_bbox: 0.1854 d2.dn_loss_iou: 0.2678 d3.dn_loss_cls: 0.0852 d3.dn_loss_bbox: 0.1747 d3.dn_loss_iou: 0.2599 d4.dn_loss_cls: 0.0822 d4.dn_loss_bbox: 0.1734 d4.dn_loss_iou: 0.2580 d1.loss_lmm_region: 0.1479 loss_lmm_image: 0.7982 2024/11/03 02:46:46 - mmengine - INFO - Iter(train) [ 51200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:11:21 time: 0.9750 data_time: 0.0178 memory: 20531 grad_norm: 21.1931 loss: 10.0972 loss_cls: 0.3010 loss_bbox: 0.1673 loss_iou: 0.2886 d0.loss_cls: 0.3496 d0.loss_bbox: 0.1711 d0.loss_iou: 0.3009 d1.loss_cls: 0.3221 d1.loss_bbox: 0.1685 d1.loss_iou: 0.2928 d2.loss_cls: 0.3123 d2.loss_bbox: 0.1701 d2.loss_iou: 0.2884 d3.loss_cls: 0.3057 d3.loss_bbox: 0.1684 d3.loss_iou: 0.2870 d4.loss_cls: 0.3015 d4.loss_bbox: 0.1659 d4.loss_iou: 0.2874 enc_loss_cls: 0.3612 enc_loss_bbox: 0.1917 enc_loss_iou: 0.3256 dn_loss_cls: 0.0916 dn_loss_bbox: 0.1695 dn_loss_iou: 0.2382 d0.dn_loss_cls: 0.1695 d0.dn_loss_bbox: 0.3073 d0.dn_loss_iou: 0.3839 d1.dn_loss_cls: 0.1193 d1.dn_loss_bbox: 0.1992 d1.dn_loss_iou: 0.2680 d2.dn_loss_cls: 0.1047 d2.dn_loss_bbox: 0.1776 d2.dn_loss_iou: 0.2457 d3.dn_loss_cls: 0.0977 d3.dn_loss_bbox: 0.1712 d3.dn_loss_iou: 0.2394 d4.dn_loss_cls: 0.0926 d4.dn_loss_bbox: 0.1695 d4.dn_loss_iou: 0.2380 d1.loss_lmm_region: 0.2107 loss_lmm_image: 0.8767 2024/11/03 02:48:24 - mmengine - INFO - Iter(train) [ 51300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:09:39 time: 0.9649 data_time: 0.0179 memory: 22120 grad_norm: 24.3606 loss: 8.8489 loss_cls: 0.2465 loss_bbox: 0.1234 loss_iou: 0.2125 d0.loss_cls: 0.2845 d0.loss_bbox: 0.1404 d0.loss_iou: 0.2242 d1.loss_cls: 0.2688 d1.loss_bbox: 0.1257 d1.loss_iou: 0.2155 d2.loss_cls: 0.2568 d2.loss_bbox: 0.1238 d2.loss_iou: 0.2121 d3.loss_cls: 0.2566 d3.loss_bbox: 0.1227 d3.loss_iou: 0.2107 d4.loss_cls: 0.2493 d4.loss_bbox: 0.1225 d4.loss_iou: 0.2113 enc_loss_cls: 0.2973 enc_loss_bbox: 0.1557 enc_loss_iou: 0.2450 dn_loss_cls: 0.0955 dn_loss_bbox: 0.1876 dn_loss_iou: 0.2149 d0.dn_loss_cls: 0.1790 d0.dn_loss_bbox: 0.3521 d0.dn_loss_iou: 0.3590 d1.dn_loss_cls: 0.1251 d1.dn_loss_bbox: 0.2308 d1.dn_loss_iou: 0.2491 d2.dn_loss_cls: 0.1071 d2.dn_loss_bbox: 0.1987 d2.dn_loss_iou: 0.2238 d3.dn_loss_cls: 0.1018 d3.dn_loss_bbox: 0.1898 d3.dn_loss_iou: 0.2168 d4.dn_loss_cls: 0.0958 d4.dn_loss_bbox: 0.1877 d4.dn_loss_iou: 0.2149 d1.loss_lmm_region: 0.1751 loss_lmm_image: 0.8391 2024/11/03 02:50:03 - mmengine - INFO - Iter(train) [ 51400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:08:00 time: 0.9929 data_time: 0.0180 memory: 21149 grad_norm: 20.9590 loss: 10.7115 loss_cls: 0.3481 loss_bbox: 0.1732 loss_iou: 0.3165 d0.loss_cls: 0.3890 d0.loss_bbox: 0.1828 d0.loss_iou: 0.3253 d1.loss_cls: 0.3619 d1.loss_bbox: 0.1810 d1.loss_iou: 0.3237 d2.loss_cls: 0.3550 d2.loss_bbox: 0.1736 d2.loss_iou: 0.3168 d3.loss_cls: 0.3514 d3.loss_bbox: 0.1735 d3.loss_iou: 0.3176 d4.loss_cls: 0.3494 d4.loss_bbox: 0.1736 d4.loss_iou: 0.3166 enc_loss_cls: 0.4031 enc_loss_bbox: 0.1950 enc_loss_iou: 0.3474 dn_loss_cls: 0.1009 dn_loss_bbox: 0.1783 dn_loss_iou: 0.2329 d0.dn_loss_cls: 0.1936 d0.dn_loss_bbox: 0.3465 d0.dn_loss_iou: 0.3833 d1.dn_loss_cls: 0.1406 d1.dn_loss_bbox: 0.2135 d1.dn_loss_iou: 0.2647 d2.dn_loss_cls: 0.1228 d2.dn_loss_bbox: 0.1856 d2.dn_loss_iou: 0.2405 d3.dn_loss_cls: 0.1097 d3.dn_loss_bbox: 0.1782 d3.dn_loss_iou: 0.2338 d4.dn_loss_cls: 0.1033 d4.dn_loss_bbox: 0.1780 d4.dn_loss_iou: 0.2327 d1.loss_lmm_region: 0.1557 loss_lmm_image: 0.8421 2024/11/03 02:51:40 - mmengine - INFO - Iter(train) [ 51500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:06:17 time: 0.9661 data_time: 0.0177 memory: 20776 grad_norm: 21.9577 loss: 8.7768 loss_cls: 0.2482 loss_bbox: 0.1162 loss_iou: 0.2250 d0.loss_cls: 0.2787 d0.loss_bbox: 0.1279 d0.loss_iou: 0.2416 d1.loss_cls: 0.2733 d1.loss_bbox: 0.1157 d1.loss_iou: 0.2239 d2.loss_cls: 0.2608 d2.loss_bbox: 0.1152 d2.loss_iou: 0.2249 d3.loss_cls: 0.2514 d3.loss_bbox: 0.1163 d3.loss_iou: 0.2257 d4.loss_cls: 0.2490 d4.loss_bbox: 0.1148 d4.loss_iou: 0.2242 enc_loss_cls: 0.2931 enc_loss_bbox: 0.1407 enc_loss_iou: 0.2604 dn_loss_cls: 0.1077 dn_loss_bbox: 0.1614 dn_loss_iou: 0.2235 d0.dn_loss_cls: 0.2014 d0.dn_loss_bbox: 0.3070 d0.dn_loss_iou: 0.3761 d1.dn_loss_cls: 0.1415 d1.dn_loss_bbox: 0.1928 d1.dn_loss_iou: 0.2576 d2.dn_loss_cls: 0.1266 d2.dn_loss_bbox: 0.1671 d2.dn_loss_iou: 0.2316 d3.dn_loss_cls: 0.1177 d3.dn_loss_bbox: 0.1619 d3.dn_loss_iou: 0.2245 d4.dn_loss_cls: 0.1084 d4.dn_loss_bbox: 0.1615 d4.dn_loss_iou: 0.2234 d1.loss_lmm_region: 0.1439 loss_lmm_image: 0.8144 2024/11/03 02:53:19 - mmengine - INFO - Iter(train) [ 51600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:04:38 time: 0.9898 data_time: 0.0178 memory: 20311 grad_norm: 26.8438 loss: 9.8489 loss_cls: 0.3125 loss_bbox: 0.1628 loss_iou: 0.2771 d0.loss_cls: 0.3487 d0.loss_bbox: 0.1793 d0.loss_iou: 0.2995 d1.loss_cls: 0.3292 d1.loss_bbox: 0.1686 d1.loss_iou: 0.2844 d2.loss_cls: 0.3227 d2.loss_bbox: 0.1620 d2.loss_iou: 0.2780 d3.loss_cls: 0.3165 d3.loss_bbox: 0.1615 d3.loss_iou: 0.2771 d4.loss_cls: 0.3098 d4.loss_bbox: 0.1682 d4.loss_iou: 0.2791 enc_loss_cls: 0.3672 enc_loss_bbox: 0.1883 enc_loss_iou: 0.3151 dn_loss_cls: 0.1053 dn_loss_bbox: 0.1632 dn_loss_iou: 0.2166 d0.dn_loss_cls: 0.1716 d0.dn_loss_bbox: 0.2947 d0.dn_loss_iou: 0.3517 d1.dn_loss_cls: 0.1224 d1.dn_loss_bbox: 0.1898 d1.dn_loss_iou: 0.2429 d2.dn_loss_cls: 0.1114 d2.dn_loss_bbox: 0.1695 d2.dn_loss_iou: 0.2227 d3.dn_loss_cls: 0.1066 d3.dn_loss_bbox: 0.1633 d3.dn_loss_iou: 0.2168 d4.dn_loss_cls: 0.1042 d4.dn_loss_bbox: 0.1631 d4.dn_loss_iou: 0.2165 d1.loss_lmm_region: 0.1650 loss_lmm_image: 0.8440 2024/11/03 02:54:57 - mmengine - INFO - Iter(train) [ 51700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:02:56 time: 0.9716 data_time: 0.0178 memory: 21662 grad_norm: 22.9330 loss: 10.3245 loss_cls: 0.3355 loss_bbox: 0.1499 loss_iou: 0.2891 d0.loss_cls: 0.3598 d0.loss_bbox: 0.1728 d0.loss_iou: 0.3089 d1.loss_cls: 0.3503 d1.loss_bbox: 0.1548 d1.loss_iou: 0.2954 d2.loss_cls: 0.3427 d2.loss_bbox: 0.1516 d2.loss_iou: 0.2909 d3.loss_cls: 0.3407 d3.loss_bbox: 0.1504 d3.loss_iou: 0.2894 d4.loss_cls: 0.3373 d4.loss_bbox: 0.1495 d4.loss_iou: 0.2892 enc_loss_cls: 0.3747 enc_loss_bbox: 0.1865 enc_loss_iou: 0.3356 dn_loss_cls: 0.1183 dn_loss_bbox: 0.1705 dn_loss_iou: 0.2366 d0.dn_loss_cls: 0.2017 d0.dn_loss_bbox: 0.3286 d0.dn_loss_iou: 0.3976 d1.dn_loss_cls: 0.1459 d1.dn_loss_bbox: 0.2054 d1.dn_loss_iou: 0.2716 d2.dn_loss_cls: 0.1289 d2.dn_loss_bbox: 0.1801 d2.dn_loss_iou: 0.2442 d3.dn_loss_cls: 0.1240 d3.dn_loss_bbox: 0.1719 d3.dn_loss_iou: 0.2381 d4.dn_loss_cls: 0.1196 d4.dn_loss_bbox: 0.1704 d4.dn_loss_iou: 0.2366 d1.loss_lmm_region: 0.1481 loss_lmm_image: 0.8313 2024/11/03 02:56:36 - mmengine - INFO - Iter(train) [ 51800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:01:17 time: 0.9907 data_time: 0.0178 memory: 20503 grad_norm: 29.2853 loss: 10.3609 loss_cls: 0.3119 loss_bbox: 0.1659 loss_iou: 0.2778 d0.loss_cls: 0.3471 d0.loss_bbox: 0.1797 d0.loss_iou: 0.2970 d1.loss_cls: 0.3358 d1.loss_bbox: 0.1658 d1.loss_iou: 0.2800 d2.loss_cls: 0.3293 d2.loss_bbox: 0.1635 d2.loss_iou: 0.2755 d3.loss_cls: 0.3216 d3.loss_bbox: 0.1619 d3.loss_iou: 0.2737 d4.loss_cls: 0.3122 d4.loss_bbox: 0.1661 d4.loss_iou: 0.2796 enc_loss_cls: 0.3636 enc_loss_bbox: 0.1985 enc_loss_iou: 0.3150 dn_loss_cls: 0.1013 dn_loss_bbox: 0.1962 dn_loss_iou: 0.2416 d0.dn_loss_cls: 0.2068 d0.dn_loss_bbox: 0.3662 d0.dn_loss_iou: 0.3958 d1.dn_loss_cls: 0.1414 d1.dn_loss_bbox: 0.2359 d1.dn_loss_iou: 0.2765 d2.dn_loss_cls: 0.1186 d2.dn_loss_bbox: 0.2043 d2.dn_loss_iou: 0.2500 d3.dn_loss_cls: 0.1068 d3.dn_loss_bbox: 0.1972 d3.dn_loss_iou: 0.2427 d4.dn_loss_cls: 0.1027 d4.dn_loss_bbox: 0.1962 d4.dn_loss_iou: 0.2417 d1.loss_lmm_region: 0.1674 loss_lmm_image: 0.8500 2024/11/03 02:58:13 - mmengine - INFO - Iter(train) [ 51900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:59:35 time: 0.9752 data_time: 0.0179 memory: 20515 grad_norm: 34.3028 loss: 8.0865 loss_cls: 0.2406 loss_bbox: 0.1059 loss_iou: 0.1789 d0.loss_cls: 0.2727 d0.loss_bbox: 0.1161 d0.loss_iou: 0.1904 d1.loss_cls: 0.2595 d1.loss_bbox: 0.1082 d1.loss_iou: 0.1819 d2.loss_cls: 0.2536 d2.loss_bbox: 0.1054 d2.loss_iou: 0.1796 d3.loss_cls: 0.2476 d3.loss_bbox: 0.1054 d3.loss_iou: 0.1786 d4.loss_cls: 0.2410 d4.loss_bbox: 0.1059 d4.loss_iou: 0.1788 enc_loss_cls: 0.2822 enc_loss_bbox: 0.1412 enc_loss_iou: 0.2195 dn_loss_cls: 0.1143 dn_loss_bbox: 0.1515 dn_loss_iou: 0.1897 d0.dn_loss_cls: 0.1812 d0.dn_loss_bbox: 0.3009 d0.dn_loss_iou: 0.3288 d1.dn_loss_cls: 0.1358 d1.dn_loss_bbox: 0.1833 d1.dn_loss_iou: 0.2177 d2.dn_loss_cls: 0.1230 d2.dn_loss_bbox: 0.1588 d2.dn_loss_iou: 0.1965 d3.dn_loss_cls: 0.1181 d3.dn_loss_bbox: 0.1530 d3.dn_loss_iou: 0.1911 d4.dn_loss_cls: 0.1119 d4.dn_loss_bbox: 0.1516 d4.dn_loss_iou: 0.1898 d1.loss_lmm_region: 0.1405 loss_lmm_image: 0.8561 2024/11/03 02:59:51 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 02:59:51 - mmengine - INFO - Iter(train) [ 52000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:57:54 time: 0.9710 data_time: 0.0178 memory: 21477 grad_norm: 21.0680 loss: 9.7907 loss_cls: 0.2988 loss_bbox: 0.1546 loss_iou: 0.2564 d0.loss_cls: 0.3247 d0.loss_bbox: 0.1721 d0.loss_iou: 0.2739 d1.loss_cls: 0.3095 d1.loss_bbox: 0.1623 d1.loss_iou: 0.2634 d2.loss_cls: 0.3079 d2.loss_bbox: 0.1571 d2.loss_iou: 0.2586 d3.loss_cls: 0.2986 d3.loss_bbox: 0.1571 d3.loss_iou: 0.2588 d4.loss_cls: 0.2973 d4.loss_bbox: 0.1559 d4.loss_iou: 0.2595 enc_loss_cls: 0.3467 enc_loss_bbox: 0.1766 enc_loss_iou: 0.2906 dn_loss_cls: 0.0932 dn_loss_bbox: 0.1866 dn_loss_iou: 0.2297 d0.dn_loss_cls: 0.1845 d0.dn_loss_bbox: 0.3381 d0.dn_loss_iou: 0.3828 d1.dn_loss_cls: 0.1260 d1.dn_loss_bbox: 0.2219 d1.dn_loss_iou: 0.2634 d2.dn_loss_cls: 0.1073 d2.dn_loss_bbox: 0.1935 d2.dn_loss_iou: 0.2371 d3.dn_loss_cls: 0.0980 d3.dn_loss_bbox: 0.1884 d3.dn_loss_iou: 0.2310 d4.dn_loss_cls: 0.0941 d4.dn_loss_bbox: 0.1867 d4.dn_loss_iou: 0.2295 d1.loss_lmm_region: 0.1652 loss_lmm_image: 0.8531 2024/11/03 03:01:29 - mmengine - INFO - Iter(train) [ 52100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:56:13 time: 0.9903 data_time: 0.0178 memory: 20284 grad_norm: 21.8936 loss: 10.0503 loss_cls: 0.2863 loss_bbox: 0.1690 loss_iou: 0.2806 d0.loss_cls: 0.3228 d0.loss_bbox: 0.1855 d0.loss_iou: 0.2979 d1.loss_cls: 0.3016 d1.loss_bbox: 0.1721 d1.loss_iou: 0.2857 d2.loss_cls: 0.2956 d2.loss_bbox: 0.1661 d2.loss_iou: 0.2809 d3.loss_cls: 0.2912 d3.loss_bbox: 0.1683 d3.loss_iou: 0.2816 d4.loss_cls: 0.2883 d4.loss_bbox: 0.1677 d4.loss_iou: 0.2817 enc_loss_cls: 0.3354 enc_loss_bbox: 0.1992 enc_loss_iou: 0.3229 dn_loss_cls: 0.0865 dn_loss_bbox: 0.1943 dn_loss_iou: 0.2428 d0.dn_loss_cls: 0.1659 d0.dn_loss_bbox: 0.3437 d0.dn_loss_iou: 0.3931 d1.dn_loss_cls: 0.1177 d1.dn_loss_bbox: 0.2274 d1.dn_loss_iou: 0.2763 d2.dn_loss_cls: 0.1049 d2.dn_loss_bbox: 0.2022 d2.dn_loss_iou: 0.2507 d3.dn_loss_cls: 0.0938 d3.dn_loss_bbox: 0.1951 d3.dn_loss_iou: 0.2435 d4.dn_loss_cls: 0.0869 d4.dn_loss_bbox: 0.1943 d4.dn_loss_iou: 0.2425 d1.loss_lmm_region: 0.1545 loss_lmm_image: 0.8538 2024/11/03 03:03:07 - mmengine - INFO - Iter(train) [ 52200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:54:31 time: 0.9654 data_time: 0.0178 memory: 20686 grad_norm: 20.2753 loss: 8.9468 loss_cls: 0.2865 loss_bbox: 0.1156 loss_iou: 0.2373 d0.loss_cls: 0.3237 d0.loss_bbox: 0.1315 d0.loss_iou: 0.2587 d1.loss_cls: 0.3029 d1.loss_bbox: 0.1227 d1.loss_iou: 0.2494 d2.loss_cls: 0.2963 d2.loss_bbox: 0.1157 d2.loss_iou: 0.2418 d3.loss_cls: 0.2891 d3.loss_bbox: 0.1145 d3.loss_iou: 0.2404 d4.loss_cls: 0.2862 d4.loss_bbox: 0.1167 d4.loss_iou: 0.2383 enc_loss_cls: 0.3389 enc_loss_bbox: 0.1441 enc_loss_iou: 0.2808 dn_loss_cls: 0.1005 dn_loss_bbox: 0.1556 dn_loss_iou: 0.2025 d0.dn_loss_cls: 0.1662 d0.dn_loss_bbox: 0.2849 d0.dn_loss_iou: 0.3384 d1.dn_loss_cls: 0.1214 d1.dn_loss_bbox: 0.1840 d1.dn_loss_iou: 0.2341 d2.dn_loss_cls: 0.1115 d2.dn_loss_bbox: 0.1625 d2.dn_loss_iou: 0.2108 d3.dn_loss_cls: 0.1039 d3.dn_loss_bbox: 0.1559 d3.dn_loss_iou: 0.2039 d4.dn_loss_cls: 0.1012 d4.dn_loss_bbox: 0.1555 d4.dn_loss_iou: 0.2025 d1.loss_lmm_region: 0.1362 loss_lmm_image: 0.8841 2024/11/03 03:04:45 - mmengine - INFO - Iter(train) [ 52300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:52:51 time: 0.9847 data_time: 0.0177 memory: 22147 grad_norm: 22.5360 loss: 9.1302 loss_cls: 0.2905 loss_bbox: 0.1275 loss_iou: 0.2484 d0.loss_cls: 0.3268 d0.loss_bbox: 0.1404 d0.loss_iou: 0.2681 d1.loss_cls: 0.3120 d1.loss_bbox: 0.1302 d1.loss_iou: 0.2550 d2.loss_cls: 0.3044 d2.loss_bbox: 0.1268 d2.loss_iou: 0.2502 d3.loss_cls: 0.2972 d3.loss_bbox: 0.1280 d3.loss_iou: 0.2491 d4.loss_cls: 0.2919 d4.loss_bbox: 0.1270 d4.loss_iou: 0.2486 enc_loss_cls: 0.3391 enc_loss_bbox: 0.1502 enc_loss_iou: 0.2894 dn_loss_cls: 0.0851 dn_loss_bbox: 0.1585 dn_loss_iou: 0.2133 d0.dn_loss_cls: 0.1685 d0.dn_loss_bbox: 0.2903 d0.dn_loss_iou: 0.3586 d1.dn_loss_cls: 0.1146 d1.dn_loss_bbox: 0.1912 d1.dn_loss_iou: 0.2471 d2.dn_loss_cls: 0.0985 d2.dn_loss_bbox: 0.1671 d2.dn_loss_iou: 0.2212 d3.dn_loss_cls: 0.0884 d3.dn_loss_bbox: 0.1598 d3.dn_loss_iou: 0.2141 d4.dn_loss_cls: 0.0858 d4.dn_loss_bbox: 0.1585 d4.dn_loss_iou: 0.2134 d1.loss_lmm_region: 0.1557 loss_lmm_image: 0.8398 2024/11/03 03:06:23 - mmengine - INFO - Iter(train) [ 52400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:51:09 time: 0.9778 data_time: 0.0177 memory: 20866 grad_norm: 23.2323 loss: 9.4681 loss_cls: 0.3126 loss_bbox: 0.1303 loss_iou: 0.2362 d0.loss_cls: 0.3543 d0.loss_bbox: 0.1407 d0.loss_iou: 0.2478 d1.loss_cls: 0.3380 d1.loss_bbox: 0.1316 d1.loss_iou: 0.2356 d2.loss_cls: 0.3223 d2.loss_bbox: 0.1314 d2.loss_iou: 0.2360 d3.loss_cls: 0.3190 d3.loss_bbox: 0.1289 d3.loss_iou: 0.2339 d4.loss_cls: 0.3136 d4.loss_bbox: 0.1290 d4.loss_iou: 0.2348 enc_loss_cls: 0.3642 enc_loss_bbox: 0.1563 enc_loss_iou: 0.2707 dn_loss_cls: 0.1049 dn_loss_bbox: 0.1588 dn_loss_iou: 0.2175 d0.dn_loss_cls: 0.1955 d0.dn_loss_bbox: 0.3202 d0.dn_loss_iou: 0.3664 d1.dn_loss_cls: 0.1440 d1.dn_loss_bbox: 0.1930 d1.dn_loss_iou: 0.2481 d2.dn_loss_cls: 0.1279 d2.dn_loss_bbox: 0.1693 d2.dn_loss_iou: 0.2256 d3.dn_loss_cls: 0.1133 d3.dn_loss_bbox: 0.1612 d3.dn_loss_iou: 0.2189 d4.dn_loss_cls: 0.1052 d4.dn_loss_bbox: 0.1589 d4.dn_loss_iou: 0.2175 d1.loss_lmm_region: 0.1636 loss_lmm_image: 0.8910 2024/11/03 03:08:01 - mmengine - INFO - Iter(train) [ 52500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:49:29 time: 0.9882 data_time: 0.0177 memory: 20497 grad_norm: 21.9821 loss: 10.8041 loss_cls: 0.3486 loss_bbox: 0.1691 loss_iou: 0.3586 d0.loss_cls: 0.3860 d0.loss_bbox: 0.1900 d0.loss_iou: 0.3810 d1.loss_cls: 0.3674 d1.loss_bbox: 0.1733 d1.loss_iou: 0.3670 d2.loss_cls: 0.3553 d2.loss_bbox: 0.1715 d2.loss_iou: 0.3609 d3.loss_cls: 0.3557 d3.loss_bbox: 0.1688 d3.loss_iou: 0.3589 d4.loss_cls: 0.3522 d4.loss_bbox: 0.1668 d4.loss_iou: 0.3568 enc_loss_cls: 0.4032 enc_loss_bbox: 0.2022 enc_loss_iou: 0.4046 dn_loss_cls: 0.0747 dn_loss_bbox: 0.1543 dn_loss_iou: 0.2512 d0.dn_loss_cls: 0.1664 d0.dn_loss_bbox: 0.3015 d0.dn_loss_iou: 0.4113 d1.dn_loss_cls: 0.1076 d1.dn_loss_bbox: 0.1858 d1.dn_loss_iou: 0.2865 d2.dn_loss_cls: 0.0895 d2.dn_loss_bbox: 0.1615 d2.dn_loss_iou: 0.2607 d3.dn_loss_cls: 0.0801 d3.dn_loss_bbox: 0.1557 d3.dn_loss_iou: 0.2527 d4.dn_loss_cls: 0.0755 d4.dn_loss_bbox: 0.1544 d4.dn_loss_iou: 0.2511 d1.loss_lmm_region: 0.1449 loss_lmm_image: 0.8409 2024/11/03 03:09:40 - mmengine - INFO - Iter(train) [ 52600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:47:49 time: 0.9863 data_time: 0.0179 memory: 21623 grad_norm: 20.8443 loss: 9.9715 loss_cls: 0.3066 loss_bbox: 0.1561 loss_iou: 0.3104 d0.loss_cls: 0.3451 d0.loss_bbox: 0.1612 d0.loss_iou: 0.3204 d1.loss_cls: 0.3274 d1.loss_bbox: 0.1566 d1.loss_iou: 0.3137 d2.loss_cls: 0.3189 d2.loss_bbox: 0.1550 d2.loss_iou: 0.3096 d3.loss_cls: 0.3154 d3.loss_bbox: 0.1558 d3.loss_iou: 0.3091 d4.loss_cls: 0.3079 d4.loss_bbox: 0.1559 d4.loss_iou: 0.3099 enc_loss_cls: 0.3618 enc_loss_bbox: 0.1713 enc_loss_iou: 0.3487 dn_loss_cls: 0.0842 dn_loss_bbox: 0.1620 dn_loss_iou: 0.2334 d0.dn_loss_cls: 0.1577 d0.dn_loss_bbox: 0.2912 d0.dn_loss_iou: 0.3720 d1.dn_loss_cls: 0.1108 d1.dn_loss_bbox: 0.1933 d1.dn_loss_iou: 0.2677 d2.dn_loss_cls: 0.0947 d2.dn_loss_bbox: 0.1708 d2.dn_loss_iou: 0.2417 d3.dn_loss_cls: 0.0867 d3.dn_loss_bbox: 0.1631 d3.dn_loss_iou: 0.2347 d4.dn_loss_cls: 0.0840 d4.dn_loss_bbox: 0.1620 d4.dn_loss_iou: 0.2334 d1.loss_lmm_region: 0.1312 loss_lmm_image: 0.8802 2024/11/03 03:11:17 - mmengine - INFO - Iter(train) [ 52700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:46:07 time: 0.9805 data_time: 0.0177 memory: 21724 grad_norm: 20.6544 loss: 9.7309 loss_cls: 0.3146 loss_bbox: 0.1543 loss_iou: 0.3022 d0.loss_cls: 0.3603 d0.loss_bbox: 0.1652 d0.loss_iou: 0.3192 d1.loss_cls: 0.3384 d1.loss_bbox: 0.1570 d1.loss_iou: 0.3081 d2.loss_cls: 0.3302 d2.loss_bbox: 0.1544 d2.loss_iou: 0.2995 d3.loss_cls: 0.3187 d3.loss_bbox: 0.1565 d3.loss_iou: 0.3017 d4.loss_cls: 0.3161 d4.loss_bbox: 0.1541 d4.loss_iou: 0.3008 enc_loss_cls: 0.3802 enc_loss_bbox: 0.1741 enc_loss_iou: 0.3375 dn_loss_cls: 0.0838 dn_loss_bbox: 0.1543 dn_loss_iou: 0.2048 d0.dn_loss_cls: 0.1611 d0.dn_loss_bbox: 0.2876 d0.dn_loss_iou: 0.3484 d1.dn_loss_cls: 0.1117 d1.dn_loss_bbox: 0.1809 d1.dn_loss_iou: 0.2356 d2.dn_loss_cls: 0.0965 d2.dn_loss_bbox: 0.1603 d2.dn_loss_iou: 0.2124 d3.dn_loss_cls: 0.0876 d3.dn_loss_bbox: 0.1543 d3.dn_loss_iou: 0.2052 d4.dn_loss_cls: 0.0841 d4.dn_loss_bbox: 0.1544 d4.dn_loss_iou: 0.2049 d1.loss_lmm_region: 0.1304 loss_lmm_image: 0.8294 2024/11/03 03:12:56 - mmengine - INFO - Iter(train) [ 52800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:44:28 time: 0.9947 data_time: 0.0178 memory: 20928 grad_norm: 22.6925 loss: 9.7644 loss_cls: 0.2966 loss_bbox: 0.1523 loss_iou: 0.2777 d0.loss_cls: 0.3398 d0.loss_bbox: 0.1668 d0.loss_iou: 0.2937 d1.loss_cls: 0.3166 d1.loss_bbox: 0.1563 d1.loss_iou: 0.2829 d2.loss_cls: 0.3120 d2.loss_bbox: 0.1487 d2.loss_iou: 0.2769 d3.loss_cls: 0.3057 d3.loss_bbox: 0.1525 d3.loss_iou: 0.2776 d4.loss_cls: 0.2980 d4.loss_bbox: 0.1524 d4.loss_iou: 0.2782 enc_loss_cls: 0.3494 enc_loss_bbox: 0.1775 enc_loss_iou: 0.3131 dn_loss_cls: 0.0896 dn_loss_bbox: 0.1681 dn_loss_iou: 0.2360 d0.dn_loss_cls: 0.1719 d0.dn_loss_bbox: 0.3277 d0.dn_loss_iou: 0.3858 d1.dn_loss_cls: 0.1156 d1.dn_loss_bbox: 0.2060 d1.dn_loss_iou: 0.2700 d2.dn_loss_cls: 0.0997 d2.dn_loss_bbox: 0.1774 d2.dn_loss_iou: 0.2448 d3.dn_loss_cls: 0.0943 d3.dn_loss_bbox: 0.1706 d3.dn_loss_iou: 0.2378 d4.dn_loss_cls: 0.0905 d4.dn_loss_bbox: 0.1681 d4.dn_loss_iou: 0.2359 d1.loss_lmm_region: 0.1418 loss_lmm_image: 0.8082 2024/11/03 03:14:34 - mmengine - INFO - Iter(train) [ 52900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:42:46 time: 0.9763 data_time: 0.0176 memory: 20226 grad_norm: 21.6641 loss: 10.2445 loss_cls: 0.3290 loss_bbox: 0.1593 loss_iou: 0.3027 d0.loss_cls: 0.3771 d0.loss_bbox: 0.1711 d0.loss_iou: 0.3219 d1.loss_cls: 0.3506 d1.loss_bbox: 0.1634 d1.loss_iou: 0.3108 d2.loss_cls: 0.3411 d2.loss_bbox: 0.1586 d2.loss_iou: 0.3062 d3.loss_cls: 0.3333 d3.loss_bbox: 0.1605 d3.loss_iou: 0.3041 d4.loss_cls: 0.3294 d4.loss_bbox: 0.1592 d4.loss_iou: 0.3028 enc_loss_cls: 0.3895 enc_loss_bbox: 0.1824 enc_loss_iou: 0.3412 dn_loss_cls: 0.1082 dn_loss_bbox: 0.1654 dn_loss_iou: 0.2209 d0.dn_loss_cls: 0.1863 d0.dn_loss_bbox: 0.3136 d0.dn_loss_iou: 0.3640 d1.dn_loss_cls: 0.1367 d1.dn_loss_bbox: 0.1977 d1.dn_loss_iou: 0.2519 d2.dn_loss_cls: 0.1249 d2.dn_loss_bbox: 0.1728 d2.dn_loss_iou: 0.2290 d3.dn_loss_cls: 0.1154 d3.dn_loss_bbox: 0.1662 d3.dn_loss_iou: 0.2219 d4.dn_loss_cls: 0.1104 d4.dn_loss_bbox: 0.1655 d4.dn_loss_iou: 0.2208 d1.loss_lmm_region: 0.1471 loss_lmm_image: 0.8320 2024/11/03 03:16:13 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 03:16:13 - mmengine - INFO - Iter(train) [ 53000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:41:07 time: 0.9895 data_time: 0.0179 memory: 20974 grad_norm: 22.3431 loss: 9.5945 loss_cls: 0.3060 loss_bbox: 0.1556 loss_iou: 0.2495 d0.loss_cls: 0.3400 d0.loss_bbox: 0.1702 d0.loss_iou: 0.2668 d1.loss_cls: 0.3269 d1.loss_bbox: 0.1604 d1.loss_iou: 0.2541 d2.loss_cls: 0.3220 d2.loss_bbox: 0.1567 d2.loss_iou: 0.2519 d3.loss_cls: 0.3140 d3.loss_bbox: 0.1557 d3.loss_iou: 0.2515 d4.loss_cls: 0.3085 d4.loss_bbox: 0.1558 d4.loss_iou: 0.2493 enc_loss_cls: 0.3575 enc_loss_bbox: 0.1844 enc_loss_iou: 0.2861 dn_loss_cls: 0.0888 dn_loss_bbox: 0.1643 dn_loss_iou: 0.2188 d0.dn_loss_cls: 0.1720 d0.dn_loss_bbox: 0.3002 d0.dn_loss_iou: 0.3588 d1.dn_loss_cls: 0.1171 d1.dn_loss_bbox: 0.1938 d1.dn_loss_iou: 0.2516 d2.dn_loss_cls: 0.1021 d2.dn_loss_bbox: 0.1706 d2.dn_loss_iou: 0.2269 d3.dn_loss_cls: 0.0931 d3.dn_loss_bbox: 0.1650 d3.dn_loss_iou: 0.2203 d4.dn_loss_cls: 0.0888 d4.dn_loss_bbox: 0.1642 d4.dn_loss_iou: 0.2188 d1.loss_lmm_region: 0.1728 loss_lmm_image: 0.8836 2024/11/03 03:17:50 - mmengine - INFO - Iter(train) [ 53100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:39:25 time: 0.9726 data_time: 0.0178 memory: 21124 grad_norm: 22.9639 loss: 9.1808 loss_cls: 0.2988 loss_bbox: 0.1273 loss_iou: 0.2375 d0.loss_cls: 0.3355 d0.loss_bbox: 0.1375 d0.loss_iou: 0.2529 d1.loss_cls: 0.3147 d1.loss_bbox: 0.1290 d1.loss_iou: 0.2415 d2.loss_cls: 0.3115 d2.loss_bbox: 0.1225 d2.loss_iou: 0.2344 d3.loss_cls: 0.3054 d3.loss_bbox: 0.1239 d3.loss_iou: 0.2357 d4.loss_cls: 0.2993 d4.loss_bbox: 0.1252 d4.loss_iou: 0.2369 enc_loss_cls: 0.3469 enc_loss_bbox: 0.1506 enc_loss_iou: 0.2753 dn_loss_cls: 0.1013 dn_loss_bbox: 0.1691 dn_loss_iou: 0.2144 d0.dn_loss_cls: 0.1767 d0.dn_loss_bbox: 0.3026 d0.dn_loss_iou: 0.3538 d1.dn_loss_cls: 0.1279 d1.dn_loss_bbox: 0.1998 d1.dn_loss_iou: 0.2440 d2.dn_loss_cls: 0.1137 d2.dn_loss_bbox: 0.1767 d2.dn_loss_iou: 0.2208 d3.dn_loss_cls: 0.1032 d3.dn_loss_bbox: 0.1692 d3.dn_loss_iou: 0.2149 d4.dn_loss_cls: 0.1008 d4.dn_loss_bbox: 0.1691 d4.dn_loss_iou: 0.2143 d1.loss_lmm_region: 0.1564 loss_lmm_image: 0.8097 2024/11/03 03:19:29 - mmengine - INFO - Iter(train) [ 53200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:37:44 time: 0.9744 data_time: 0.0177 memory: 21047 grad_norm: 21.1205 loss: 10.1792 loss_cls: 0.3304 loss_bbox: 0.1498 loss_iou: 0.2790 d0.loss_cls: 0.3682 d0.loss_bbox: 0.1693 d0.loss_iou: 0.3038 d1.loss_cls: 0.3562 d1.loss_bbox: 0.1531 d1.loss_iou: 0.2851 d2.loss_cls: 0.3426 d2.loss_bbox: 0.1529 d2.loss_iou: 0.2827 d3.loss_cls: 0.3370 d3.loss_bbox: 0.1492 d3.loss_iou: 0.2793 d4.loss_cls: 0.3306 d4.loss_bbox: 0.1505 d4.loss_iou: 0.2792 enc_loss_cls: 0.3852 enc_loss_bbox: 0.1825 enc_loss_iou: 0.3269 dn_loss_cls: 0.1028 dn_loss_bbox: 0.1621 dn_loss_iou: 0.2358 d0.dn_loss_cls: 0.1912 d0.dn_loss_bbox: 0.3271 d0.dn_loss_iou: 0.3971 d1.dn_loss_cls: 0.1311 d1.dn_loss_bbox: 0.2066 d1.dn_loss_iou: 0.2785 d2.dn_loss_cls: 0.1159 d2.dn_loss_bbox: 0.1756 d2.dn_loss_iou: 0.2462 d3.dn_loss_cls: 0.1094 d3.dn_loss_bbox: 0.1646 d3.dn_loss_iou: 0.2377 d4.dn_loss_cls: 0.1038 d4.dn_loss_bbox: 0.1620 d4.dn_loss_iou: 0.2357 d1.loss_lmm_region: 0.1641 loss_lmm_image: 0.8387 2024/11/03 03:21:06 - mmengine - INFO - Iter(train) [ 53300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:36:02 time: 0.9590 data_time: 0.0178 memory: 20660 grad_norm: 25.5760 loss: 8.7089 loss_cls: 0.2964 loss_bbox: 0.1164 loss_iou: 0.2201 d0.loss_cls: 0.3268 d0.loss_bbox: 0.1291 d0.loss_iou: 0.2364 d1.loss_cls: 0.3135 d1.loss_bbox: 0.1181 d1.loss_iou: 0.2257 d2.loss_cls: 0.3051 d2.loss_bbox: 0.1166 d2.loss_iou: 0.2226 d3.loss_cls: 0.3009 d3.loss_bbox: 0.1149 d3.loss_iou: 0.2200 d4.loss_cls: 0.2987 d4.loss_bbox: 0.1147 d4.loss_iou: 0.2194 enc_loss_cls: 0.3426 enc_loss_bbox: 0.1402 enc_loss_iou: 0.2608 dn_loss_cls: 0.0773 dn_loss_bbox: 0.1562 dn_loss_iou: 0.1889 d0.dn_loss_cls: 0.1604 d0.dn_loss_bbox: 0.2952 d0.dn_loss_iou: 0.3301 d1.dn_loss_cls: 0.1042 d1.dn_loss_bbox: 0.1852 d1.dn_loss_iou: 0.2217 d2.dn_loss_cls: 0.0900 d2.dn_loss_bbox: 0.1635 d2.dn_loss_iou: 0.1975 d3.dn_loss_cls: 0.0817 d3.dn_loss_bbox: 0.1578 d3.dn_loss_iou: 0.1909 d4.dn_loss_cls: 0.0779 d4.dn_loss_bbox: 0.1562 d4.dn_loss_iou: 0.1888 d1.loss_lmm_region: 0.1464 loss_lmm_image: 0.8999 2024/11/03 03:22:44 - mmengine - INFO - Iter(train) [ 53400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:34:21 time: 0.9754 data_time: 0.0177 memory: 20492 grad_norm: 21.9936 loss: 10.6004 loss_cls: 0.3303 loss_bbox: 0.1720 loss_iou: 0.2973 d0.loss_cls: 0.3681 d0.loss_bbox: 0.1851 d0.loss_iou: 0.3168 d1.loss_cls: 0.3448 d1.loss_bbox: 0.1773 d1.loss_iou: 0.3050 d2.loss_cls: 0.3400 d2.loss_bbox: 0.1726 d2.loss_iou: 0.2966 d3.loss_cls: 0.3389 d3.loss_bbox: 0.1726 d3.loss_iou: 0.2961 d4.loss_cls: 0.3309 d4.loss_bbox: 0.1711 d4.loss_iou: 0.2959 enc_loss_cls: 0.3939 enc_loss_bbox: 0.1966 enc_loss_iou: 0.3372 dn_loss_cls: 0.0862 dn_loss_bbox: 0.2036 dn_loss_iou: 0.2453 d0.dn_loss_cls: 0.1818 d0.dn_loss_bbox: 0.3655 d0.dn_loss_iou: 0.4006 d1.dn_loss_cls: 0.1240 d1.dn_loss_bbox: 0.2366 d1.dn_loss_iou: 0.2789 d2.dn_loss_cls: 0.1032 d2.dn_loss_bbox: 0.2139 d2.dn_loss_iou: 0.2544 d3.dn_loss_cls: 0.0910 d3.dn_loss_bbox: 0.2042 d3.dn_loss_iou: 0.2463 d4.dn_loss_cls: 0.0868 d4.dn_loss_bbox: 0.2037 d4.dn_loss_iou: 0.2454 d1.loss_lmm_region: 0.1713 loss_lmm_image: 0.8186 2024/11/03 03:24:22 - mmengine - INFO - Iter(train) [ 53500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:32:41 time: 0.9832 data_time: 0.0177 memory: 20076 grad_norm: 20.2938 loss: 9.1735 loss_cls: 0.2865 loss_bbox: 0.1341 loss_iou: 0.2331 d0.loss_cls: 0.3172 d0.loss_bbox: 0.1497 d0.loss_iou: 0.2504 d1.loss_cls: 0.3097 d1.loss_bbox: 0.1358 d1.loss_iou: 0.2374 d2.loss_cls: 0.2990 d2.loss_bbox: 0.1366 d2.loss_iou: 0.2374 d3.loss_cls: 0.2954 d3.loss_bbox: 0.1337 d3.loss_iou: 0.2349 d4.loss_cls: 0.2877 d4.loss_bbox: 0.1342 d4.loss_iou: 0.2337 enc_loss_cls: 0.3433 enc_loss_bbox: 0.1519 enc_loss_iou: 0.2629 dn_loss_cls: 0.0981 dn_loss_bbox: 0.1619 dn_loss_iou: 0.2202 d0.dn_loss_cls: 0.1875 d0.dn_loss_bbox: 0.3131 d0.dn_loss_iou: 0.3736 d1.dn_loss_cls: 0.1311 d1.dn_loss_bbox: 0.1903 d1.dn_loss_iou: 0.2544 d2.dn_loss_cls: 0.1124 d2.dn_loss_bbox: 0.1700 d2.dn_loss_iou: 0.2301 d3.dn_loss_cls: 0.1051 d3.dn_loss_bbox: 0.1629 d3.dn_loss_iou: 0.2215 d4.dn_loss_cls: 0.1001 d4.dn_loss_bbox: 0.1618 d4.dn_loss_iou: 0.2200 d1.loss_lmm_region: 0.1562 loss_lmm_image: 0.7986 2024/11/03 03:26:01 - mmengine - INFO - Iter(train) [ 53600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:31:01 time: 0.9791 data_time: 0.0177 memory: 20628 grad_norm: 20.3602 loss: 10.3077 loss_cls: 0.3056 loss_bbox: 0.1656 loss_iou: 0.3064 d0.loss_cls: 0.3477 d0.loss_bbox: 0.1768 d0.loss_iou: 0.3234 d1.loss_cls: 0.3265 d1.loss_bbox: 0.1668 d1.loss_iou: 0.3085 d2.loss_cls: 0.3169 d2.loss_bbox: 0.1665 d2.loss_iou: 0.3082 d3.loss_cls: 0.3139 d3.loss_bbox: 0.1632 d3.loss_iou: 0.3051 d4.loss_cls: 0.3061 d4.loss_bbox: 0.1663 d4.loss_iou: 0.3076 enc_loss_cls: 0.3653 enc_loss_bbox: 0.1871 enc_loss_iou: 0.3405 dn_loss_cls: 0.0818 dn_loss_bbox: 0.1786 dn_loss_iou: 0.2472 d0.dn_loss_cls: 0.1679 d0.dn_loss_bbox: 0.3443 d0.dn_loss_iou: 0.4143 d1.dn_loss_cls: 0.1126 d1.dn_loss_bbox: 0.2113 d1.dn_loss_iou: 0.2829 d2.dn_loss_cls: 0.0959 d2.dn_loss_bbox: 0.1859 d2.dn_loss_iou: 0.2563 d3.dn_loss_cls: 0.0858 d3.dn_loss_bbox: 0.1800 d3.dn_loss_iou: 0.2490 d4.dn_loss_cls: 0.0828 d4.dn_loss_bbox: 0.1786 d4.dn_loss_iou: 0.2472 d1.loss_lmm_region: 0.1602 loss_lmm_image: 0.8713 2024/11/03 03:27:39 - mmengine - INFO - Iter(train) [ 53700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:29:20 time: 0.9900 data_time: 0.0177 memory: 20571 grad_norm: 20.8448 loss: 9.1499 loss_cls: 0.2690 loss_bbox: 0.1336 loss_iou: 0.2616 d0.loss_cls: 0.3057 d0.loss_bbox: 0.1440 d0.loss_iou: 0.2755 d1.loss_cls: 0.2845 d1.loss_bbox: 0.1416 d1.loss_iou: 0.2676 d2.loss_cls: 0.2747 d2.loss_bbox: 0.1387 d2.loss_iou: 0.2654 d3.loss_cls: 0.2728 d3.loss_bbox: 0.1336 d3.loss_iou: 0.2636 d4.loss_cls: 0.2681 d4.loss_bbox: 0.1339 d4.loss_iou: 0.2625 enc_loss_cls: 0.3215 enc_loss_bbox: 0.1607 enc_loss_iou: 0.2976 dn_loss_cls: 0.0808 dn_loss_bbox: 0.1603 dn_loss_iou: 0.2252 d0.dn_loss_cls: 0.1685 d0.dn_loss_bbox: 0.3085 d0.dn_loss_iou: 0.3745 d1.dn_loss_cls: 0.1124 d1.dn_loss_bbox: 0.1921 d1.dn_loss_iou: 0.2572 d2.dn_loss_cls: 0.0955 d2.dn_loss_bbox: 0.1705 d2.dn_loss_iou: 0.2348 d3.dn_loss_cls: 0.0864 d3.dn_loss_bbox: 0.1626 d3.dn_loss_iou: 0.2272 d4.dn_loss_cls: 0.0820 d4.dn_loss_bbox: 0.1603 d4.dn_loss_iou: 0.2249 d1.loss_lmm_region: 0.1553 loss_lmm_image: 0.7947 2024/11/03 03:29:16 - mmengine - INFO - Iter(train) [ 53800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:27:37 time: 0.9646 data_time: 0.0177 memory: 20576 grad_norm: 21.4487 loss: 10.0239 loss_cls: 0.3031 loss_bbox: 0.1667 loss_iou: 0.2680 d0.loss_cls: 0.3386 d0.loss_bbox: 0.1869 d0.loss_iou: 0.2873 d1.loss_cls: 0.3206 d1.loss_bbox: 0.1758 d1.loss_iou: 0.2746 d2.loss_cls: 0.3135 d2.loss_bbox: 0.1684 d2.loss_iou: 0.2720 d3.loss_cls: 0.3090 d3.loss_bbox: 0.1689 d3.loss_iou: 0.2670 d4.loss_cls: 0.3006 d4.loss_bbox: 0.1706 d4.loss_iou: 0.2695 enc_loss_cls: 0.3623 enc_loss_bbox: 0.1981 enc_loss_iou: 0.3039 dn_loss_cls: 0.0857 dn_loss_bbox: 0.1945 dn_loss_iou: 0.2329 d0.dn_loss_cls: 0.1749 d0.dn_loss_bbox: 0.3634 d0.dn_loss_iou: 0.3842 d1.dn_loss_cls: 0.1158 d1.dn_loss_bbox: 0.2344 d1.dn_loss_iou: 0.2680 d2.dn_loss_cls: 0.1007 d2.dn_loss_bbox: 0.2067 d2.dn_loss_iou: 0.2436 d3.dn_loss_cls: 0.0920 d3.dn_loss_bbox: 0.1967 d3.dn_loss_iou: 0.2350 d4.dn_loss_cls: 0.0870 d4.dn_loss_bbox: 0.1944 d4.dn_loss_iou: 0.2328 d1.loss_lmm_region: 0.1399 loss_lmm_image: 0.8157 2024/11/03 03:30:53 - mmengine - INFO - Iter(train) [ 53900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:25:56 time: 0.9661 data_time: 0.0178 memory: 20860 grad_norm: 22.2515 loss: 9.6854 loss_cls: 0.2934 loss_bbox: 0.1533 loss_iou: 0.2442 d0.loss_cls: 0.3331 d0.loss_bbox: 0.1655 d0.loss_iou: 0.2626 d1.loss_cls: 0.3114 d1.loss_bbox: 0.1580 d1.loss_iou: 0.2523 d2.loss_cls: 0.3037 d2.loss_bbox: 0.1524 d2.loss_iou: 0.2455 d3.loss_cls: 0.3010 d3.loss_bbox: 0.1502 d3.loss_iou: 0.2427 d4.loss_cls: 0.2941 d4.loss_bbox: 0.1523 d4.loss_iou: 0.2441 enc_loss_cls: 0.3469 enc_loss_bbox: 0.1861 enc_loss_iou: 0.2843 dn_loss_cls: 0.0757 dn_loss_bbox: 0.1897 dn_loss_iou: 0.2388 d0.dn_loss_cls: 0.1752 d0.dn_loss_bbox: 0.3613 d0.dn_loss_iou: 0.4045 d1.dn_loss_cls: 0.1158 d1.dn_loss_bbox: 0.2286 d1.dn_loss_iou: 0.2767 d2.dn_loss_cls: 0.0949 d2.dn_loss_bbox: 0.1998 d2.dn_loss_iou: 0.2488 d3.dn_loss_cls: 0.0822 d3.dn_loss_bbox: 0.1916 d3.dn_loss_iou: 0.2400 d4.dn_loss_cls: 0.0769 d4.dn_loss_bbox: 0.1898 d4.dn_loss_iou: 0.2388 d1.loss_lmm_region: 0.1695 loss_lmm_image: 0.8099 2024/11/03 03:32:31 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 03:32:31 - mmengine - INFO - Iter(train) [ 54000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:24:15 time: 0.9848 data_time: 0.0178 memory: 20757 grad_norm: 21.3478 loss: 9.6977 loss_cls: 0.2940 loss_bbox: 0.1316 loss_iou: 0.2486 d0.loss_cls: 0.3238 d0.loss_bbox: 0.1464 d0.loss_iou: 0.2671 d1.loss_cls: 0.3175 d1.loss_bbox: 0.1337 d1.loss_iou: 0.2517 d2.loss_cls: 0.3080 d2.loss_bbox: 0.1312 d2.loss_iou: 0.2464 d3.loss_cls: 0.2986 d3.loss_bbox: 0.1322 d3.loss_iou: 0.2489 d4.loss_cls: 0.2938 d4.loss_bbox: 0.1315 d4.loss_iou: 0.2484 enc_loss_cls: 0.3357 enc_loss_bbox: 0.1608 enc_loss_iou: 0.2868 dn_loss_cls: 0.1057 dn_loss_bbox: 0.2001 dn_loss_iou: 0.2347 d0.dn_loss_cls: 0.1824 d0.dn_loss_bbox: 0.3479 d0.dn_loss_iou: 0.3849 d1.dn_loss_cls: 0.1302 d1.dn_loss_bbox: 0.2308 d1.dn_loss_iou: 0.2681 d2.dn_loss_cls: 0.1171 d2.dn_loss_bbox: 0.2084 d2.dn_loss_iou: 0.2435 d3.dn_loss_cls: 0.1097 d3.dn_loss_bbox: 0.2004 d3.dn_loss_iou: 0.2356 d4.dn_loss_cls: 0.1077 d4.dn_loss_bbox: 0.2001 d4.dn_loss_iou: 0.2345 d1.loss_lmm_region: 0.1349 loss_lmm_image: 0.8842 2024/11/03 03:34:09 - mmengine - INFO - Iter(train) [ 54100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:22:34 time: 0.9786 data_time: 0.0177 memory: 21242 grad_norm: 23.0828 loss: 10.5943 loss_cls: 0.3683 loss_bbox: 0.1584 loss_iou: 0.2974 d0.loss_cls: 0.4162 d0.loss_bbox: 0.1702 d0.loss_iou: 0.3193 d1.loss_cls: 0.3938 d1.loss_bbox: 0.1597 d1.loss_iou: 0.3019 d2.loss_cls: 0.3833 d2.loss_bbox: 0.1593 d2.loss_iou: 0.2997 d3.loss_cls: 0.3783 d3.loss_bbox: 0.1602 d3.loss_iou: 0.2984 d4.loss_cls: 0.3715 d4.loss_bbox: 0.1582 d4.loss_iou: 0.2974 enc_loss_cls: 0.4234 enc_loss_bbox: 0.1869 enc_loss_iou: 0.3462 dn_loss_cls: 0.1223 dn_loss_bbox: 0.1507 dn_loss_iou: 0.2246 d0.dn_loss_cls: 0.1977 d0.dn_loss_bbox: 0.2977 d0.dn_loss_iou: 0.3788 d1.dn_loss_cls: 0.1495 d1.dn_loss_bbox: 0.1873 d1.dn_loss_iou: 0.2625 d2.dn_loss_cls: 0.1398 d2.dn_loss_bbox: 0.1610 d2.dn_loss_iou: 0.2352 d3.dn_loss_cls: 0.1305 d3.dn_loss_bbox: 0.1527 d3.dn_loss_iou: 0.2269 d4.dn_loss_cls: 0.1270 d4.dn_loss_bbox: 0.1508 d4.dn_loss_iou: 0.2246 d1.loss_lmm_region: 0.1513 loss_lmm_image: 0.8752 2024/11/03 03:35:48 - mmengine - INFO - Iter(train) [ 54200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:20:55 time: 1.0009 data_time: 0.0177 memory: 21217 grad_norm: 26.1743 loss: 8.5346 loss_cls: 0.2438 loss_bbox: 0.1282 loss_iou: 0.2165 d0.loss_cls: 0.2700 d0.loss_bbox: 0.1439 d0.loss_iou: 0.2296 d1.loss_cls: 0.2577 d1.loss_bbox: 0.1327 d1.loss_iou: 0.2218 d2.loss_cls: 0.2510 d2.loss_bbox: 0.1306 d2.loss_iou: 0.2180 d3.loss_cls: 0.2467 d3.loss_bbox: 0.1285 d3.loss_iou: 0.2174 d4.loss_cls: 0.2451 d4.loss_bbox: 0.1282 d4.loss_iou: 0.2164 enc_loss_cls: 0.2905 enc_loss_bbox: 0.1562 enc_loss_iou: 0.2467 dn_loss_cls: 0.0904 dn_loss_bbox: 0.1585 dn_loss_iou: 0.2048 d0.dn_loss_cls: 0.1711 d0.dn_loss_bbox: 0.3069 d0.dn_loss_iou: 0.3476 d1.dn_loss_cls: 0.1168 d1.dn_loss_bbox: 0.1904 d1.dn_loss_iou: 0.2364 d2.dn_loss_cls: 0.1001 d2.dn_loss_bbox: 0.1684 d2.dn_loss_iou: 0.2138 d3.dn_loss_cls: 0.0926 d3.dn_loss_bbox: 0.1599 d3.dn_loss_iou: 0.2063 d4.dn_loss_cls: 0.0905 d4.dn_loss_bbox: 0.1584 d4.dn_loss_iou: 0.2047 d1.loss_lmm_region: 0.1514 loss_lmm_image: 0.8460 2024/11/03 03:37:26 - mmengine - INFO - Iter(train) [ 54300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:19:13 time: 0.9737 data_time: 0.0178 memory: 21350 grad_norm: 21.9200 loss: 9.1893 loss_cls: 0.2766 loss_bbox: 0.1394 loss_iou: 0.2194 d0.loss_cls: 0.3096 d0.loss_bbox: 0.1521 d0.loss_iou: 0.2350 d1.loss_cls: 0.2989 d1.loss_bbox: 0.1444 d1.loss_iou: 0.2277 d2.loss_cls: 0.2943 d2.loss_bbox: 0.1387 d2.loss_iou: 0.2204 d3.loss_cls: 0.2831 d3.loss_bbox: 0.1408 d3.loss_iou: 0.2207 d4.loss_cls: 0.2807 d4.loss_bbox: 0.1376 d4.loss_iou: 0.2185 enc_loss_cls: 0.3321 enc_loss_bbox: 0.1622 enc_loss_iou: 0.2523 dn_loss_cls: 0.1052 dn_loss_bbox: 0.1699 dn_loss_iou: 0.2081 d0.dn_loss_cls: 0.2006 d0.dn_loss_bbox: 0.3440 d0.dn_loss_iou: 0.3631 d1.dn_loss_cls: 0.1388 d1.dn_loss_bbox: 0.2038 d1.dn_loss_iou: 0.2408 d2.dn_loss_cls: 0.1200 d2.dn_loss_bbox: 0.1776 d2.dn_loss_iou: 0.2155 d3.dn_loss_cls: 0.1117 d3.dn_loss_bbox: 0.1713 d3.dn_loss_iou: 0.2091 d4.dn_loss_cls: 0.1057 d4.dn_loss_bbox: 0.1699 d4.dn_loss_iou: 0.2080 d1.loss_lmm_region: 0.1599 loss_lmm_image: 0.8817 2024/11/03 03:39:04 - mmengine - INFO - Iter(train) [ 54400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:17:33 time: 0.9841 data_time: 0.0177 memory: 20735 grad_norm: 22.3107 loss: 9.6518 loss_cls: 0.3049 loss_bbox: 0.1350 loss_iou: 0.2490 d0.loss_cls: 0.3312 d0.loss_bbox: 0.1509 d0.loss_iou: 0.2711 d1.loss_cls: 0.3201 d1.loss_bbox: 0.1413 d1.loss_iou: 0.2563 d2.loss_cls: 0.3153 d2.loss_bbox: 0.1342 d2.loss_iou: 0.2493 d3.loss_cls: 0.3112 d3.loss_bbox: 0.1351 d3.loss_iou: 0.2512 d4.loss_cls: 0.3106 d4.loss_bbox: 0.1319 d4.loss_iou: 0.2470 enc_loss_cls: 0.3597 enc_loss_bbox: 0.1584 enc_loss_iou: 0.2878 dn_loss_cls: 0.0967 dn_loss_bbox: 0.1804 dn_loss_iou: 0.2272 d0.dn_loss_cls: 0.2005 d0.dn_loss_bbox: 0.3347 d0.dn_loss_iou: 0.3851 d1.dn_loss_cls: 0.1338 d1.dn_loss_bbox: 0.2160 d1.dn_loss_iou: 0.2639 d2.dn_loss_cls: 0.1111 d2.dn_loss_bbox: 0.1936 d2.dn_loss_iou: 0.2379 d3.dn_loss_cls: 0.1002 d3.dn_loss_bbox: 0.1820 d3.dn_loss_iou: 0.2291 d4.dn_loss_cls: 0.0987 d4.dn_loss_bbox: 0.1803 d4.dn_loss_iou: 0.2272 d1.loss_lmm_region: 0.1713 loss_lmm_image: 0.8304 2024/11/03 03:40:42 - mmengine - INFO - Iter(train) [ 54500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:15:52 time: 0.9719 data_time: 0.0177 memory: 21496 grad_norm: 20.8729 loss: 8.7979 loss_cls: 0.2656 loss_bbox: 0.1322 loss_iou: 0.2440 d0.loss_cls: 0.2942 d0.loss_bbox: 0.1442 d0.loss_iou: 0.2625 d1.loss_cls: 0.2736 d1.loss_bbox: 0.1386 d1.loss_iou: 0.2537 d2.loss_cls: 0.2731 d2.loss_bbox: 0.1343 d2.loss_iou: 0.2468 d3.loss_cls: 0.2649 d3.loss_bbox: 0.1339 d3.loss_iou: 0.2463 d4.loss_cls: 0.2637 d4.loss_bbox: 0.1343 d4.loss_iou: 0.2455 enc_loss_cls: 0.3114 enc_loss_bbox: 0.1581 enc_loss_iou: 0.2842 dn_loss_cls: 0.0667 dn_loss_bbox: 0.1498 dn_loss_iou: 0.2149 d0.dn_loss_cls: 0.1534 d0.dn_loss_bbox: 0.3047 d0.dn_loss_iou: 0.3609 d1.dn_loss_cls: 0.0973 d1.dn_loss_bbox: 0.1785 d1.dn_loss_iou: 0.2461 d2.dn_loss_cls: 0.0804 d2.dn_loss_bbox: 0.1562 d2.dn_loss_iou: 0.2224 d3.dn_loss_cls: 0.0717 d3.dn_loss_bbox: 0.1515 d3.dn_loss_iou: 0.2165 d4.dn_loss_cls: 0.0675 d4.dn_loss_bbox: 0.1498 d4.dn_loss_iou: 0.2149 d1.loss_lmm_region: 0.1484 loss_lmm_image: 0.8411 2024/11/03 03:42:21 - mmengine - INFO - Iter(train) [ 54600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:14:13 time: 0.9830 data_time: 0.0176 memory: 21863 grad_norm: 20.6619 loss: 11.7717 loss_cls: 0.4149 loss_bbox: 0.1905 loss_iou: 0.3297 d0.loss_cls: 0.4529 d0.loss_bbox: 0.2081 d0.loss_iou: 0.3563 d1.loss_cls: 0.4299 d1.loss_bbox: 0.1952 d1.loss_iou: 0.3385 d2.loss_cls: 0.4273 d2.loss_bbox: 0.1930 d2.loss_iou: 0.3313 d3.loss_cls: 0.4255 d3.loss_bbox: 0.1873 d3.loss_iou: 0.3287 d4.loss_cls: 0.4147 d4.loss_bbox: 0.1908 d4.loss_iou: 0.3304 enc_loss_cls: 0.4576 enc_loss_bbox: 0.2240 enc_loss_iou: 0.3783 dn_loss_cls: 0.1089 dn_loss_bbox: 0.2117 dn_loss_iou: 0.2433 d0.dn_loss_cls: 0.1991 d0.dn_loss_bbox: 0.3717 d0.dn_loss_iou: 0.4032 d1.dn_loss_cls: 0.1396 d1.dn_loss_bbox: 0.2487 d1.dn_loss_iou: 0.2794 d2.dn_loss_cls: 0.1213 d2.dn_loss_bbox: 0.2224 d2.dn_loss_iou: 0.2531 d3.dn_loss_cls: 0.1127 d3.dn_loss_bbox: 0.2128 d3.dn_loss_iou: 0.2448 d4.dn_loss_cls: 0.1091 d4.dn_loss_bbox: 0.2118 d4.dn_loss_iou: 0.2433 d1.loss_lmm_region: 0.1866 loss_lmm_image: 0.8431 2024/11/03 03:43:58 - mmengine - INFO - Iter(train) [ 54700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:12:30 time: 0.9695 data_time: 0.0178 memory: 20446 grad_norm: 20.5043 loss: 10.4722 loss_cls: 0.3333 loss_bbox: 0.1588 loss_iou: 0.2921 d0.loss_cls: 0.3695 d0.loss_bbox: 0.1752 d0.loss_iou: 0.3130 d1.loss_cls: 0.3490 d1.loss_bbox: 0.1681 d1.loss_iou: 0.3032 d2.loss_cls: 0.3425 d2.loss_bbox: 0.1564 d2.loss_iou: 0.2917 d3.loss_cls: 0.3407 d3.loss_bbox: 0.1547 d3.loss_iou: 0.2891 d4.loss_cls: 0.3347 d4.loss_bbox: 0.1583 d4.loss_iou: 0.2922 enc_loss_cls: 0.3892 enc_loss_bbox: 0.1825 enc_loss_iou: 0.3285 dn_loss_cls: 0.0951 dn_loss_bbox: 0.1815 dn_loss_iou: 0.2433 d0.dn_loss_cls: 0.1867 d0.dn_loss_bbox: 0.3418 d0.dn_loss_iou: 0.4039 d1.dn_loss_cls: 0.1304 d1.dn_loss_bbox: 0.2246 d1.dn_loss_iou: 0.2825 d2.dn_loss_cls: 0.1103 d2.dn_loss_bbox: 0.1912 d2.dn_loss_iou: 0.2530 d3.dn_loss_cls: 0.0987 d3.dn_loss_bbox: 0.1829 d3.dn_loss_iou: 0.2448 d4.dn_loss_cls: 0.0952 d4.dn_loss_bbox: 0.1815 d4.dn_loss_iou: 0.2432 d1.loss_lmm_region: 0.1493 loss_lmm_image: 0.9092 2024/11/03 03:45:36 - mmengine - INFO - Iter(train) [ 54800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:10:50 time: 0.9725 data_time: 0.0176 memory: 21191 grad_norm: 20.3809 loss: 10.0777 loss_cls: 0.3202 loss_bbox: 0.1655 loss_iou: 0.2877 d0.loss_cls: 0.3558 d0.loss_bbox: 0.1922 d0.loss_iou: 0.3155 d1.loss_cls: 0.3338 d1.loss_bbox: 0.1780 d1.loss_iou: 0.3013 d2.loss_cls: 0.3254 d2.loss_bbox: 0.1703 d2.loss_iou: 0.2941 d3.loss_cls: 0.3214 d3.loss_bbox: 0.1706 d3.loss_iou: 0.2903 d4.loss_cls: 0.3248 d4.loss_bbox: 0.1646 d4.loss_iou: 0.2859 enc_loss_cls: 0.3746 enc_loss_bbox: 0.2018 enc_loss_iou: 0.3400 dn_loss_cls: 0.0850 dn_loss_bbox: 0.1658 dn_loss_iou: 0.2170 d0.dn_loss_cls: 0.1678 d0.dn_loss_bbox: 0.3355 d0.dn_loss_iou: 0.3699 d1.dn_loss_cls: 0.1204 d1.dn_loss_bbox: 0.2085 d1.dn_loss_iou: 0.2542 d2.dn_loss_cls: 0.1017 d2.dn_loss_bbox: 0.1770 d2.dn_loss_iou: 0.2275 d3.dn_loss_cls: 0.0904 d3.dn_loss_bbox: 0.1668 d3.dn_loss_iou: 0.2191 d4.dn_loss_cls: 0.0854 d4.dn_loss_bbox: 0.1659 d4.dn_loss_iou: 0.2169 d1.loss_lmm_region: 0.1412 loss_lmm_image: 0.8482 2024/11/03 03:47:15 - mmengine - INFO - Iter(train) [ 54900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:09:10 time: 0.9935 data_time: 0.0178 memory: 20913 grad_norm: 23.3761 loss: 9.9641 loss_cls: 0.2762 loss_bbox: 0.1588 loss_iou: 0.2817 d0.loss_cls: 0.3123 d0.loss_bbox: 0.1714 d0.loss_iou: 0.2951 d1.loss_cls: 0.2992 d1.loss_bbox: 0.1616 d1.loss_iou: 0.2852 d2.loss_cls: 0.2878 d2.loss_bbox: 0.1559 d2.loss_iou: 0.2817 d3.loss_cls: 0.2805 d3.loss_bbox: 0.1576 d3.loss_iou: 0.2811 d4.loss_cls: 0.2781 d4.loss_bbox: 0.1595 d4.loss_iou: 0.2816 enc_loss_cls: 0.3292 enc_loss_bbox: 0.1858 enc_loss_iou: 0.3167 dn_loss_cls: 0.0893 dn_loss_bbox: 0.1964 dn_loss_iou: 0.2500 d0.dn_loss_cls: 0.1769 d0.dn_loss_bbox: 0.3560 d0.dn_loss_iou: 0.4074 d1.dn_loss_cls: 0.1201 d1.dn_loss_bbox: 0.2268 d1.dn_loss_iou: 0.2836 d2.dn_loss_cls: 0.1022 d2.dn_loss_bbox: 0.2003 d2.dn_loss_iou: 0.2567 d3.dn_loss_cls: 0.0933 d3.dn_loss_bbox: 0.1970 d3.dn_loss_iou: 0.2514 d4.dn_loss_cls: 0.0912 d4.dn_loss_bbox: 0.1963 d4.dn_loss_iou: 0.2499 d1.loss_lmm_region: 0.1518 loss_lmm_image: 0.8306 2024/11/03 03:48:52 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 03:48:52 - mmengine - INFO - Iter(train) [ 55000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:07:28 time: 0.9684 data_time: 0.0177 memory: 21164 grad_norm: 20.8681 loss: 10.5787 loss_cls: 0.3618 loss_bbox: 0.1588 loss_iou: 0.3077 d0.loss_cls: 0.3862 d0.loss_bbox: 0.1664 d0.loss_iou: 0.3208 d1.loss_cls: 0.3696 d1.loss_bbox: 0.1618 d1.loss_iou: 0.3118 d2.loss_cls: 0.3612 d2.loss_bbox: 0.1559 d2.loss_iou: 0.3056 d3.loss_cls: 0.3611 d3.loss_bbox: 0.1563 d3.loss_iou: 0.3051 d4.loss_cls: 0.3628 d4.loss_bbox: 0.1581 d4.loss_iou: 0.3058 enc_loss_cls: 0.3979 enc_loss_bbox: 0.1816 enc_loss_iou: 0.3408 dn_loss_cls: 0.1103 dn_loss_bbox: 0.1666 dn_loss_iou: 0.2427 d0.dn_loss_cls: 0.1817 d0.dn_loss_bbox: 0.3364 d0.dn_loss_iou: 0.4049 d1.dn_loss_cls: 0.1391 d1.dn_loss_bbox: 0.2017 d1.dn_loss_iou: 0.2785 d2.dn_loss_cls: 0.1287 d2.dn_loss_bbox: 0.1743 d2.dn_loss_iou: 0.2517 d3.dn_loss_cls: 0.1170 d3.dn_loss_bbox: 0.1677 d3.dn_loss_iou: 0.2442 d4.dn_loss_cls: 0.1090 d4.dn_loss_bbox: 0.1667 d4.dn_loss_iou: 0.2427 d1.loss_lmm_region: 0.1556 loss_lmm_image: 0.8219 2024/11/03 03:50:29 - mmengine - INFO - Iter(train) [ 55100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:05:46 time: 0.9891 data_time: 0.0179 memory: 20589 grad_norm: 25.5134 loss: 10.6881 loss_cls: 0.3207 loss_bbox: 0.1864 loss_iou: 0.2979 d0.loss_cls: 0.3706 d0.loss_bbox: 0.1978 d0.loss_iou: 0.3107 d1.loss_cls: 0.3461 d1.loss_bbox: 0.1864 d1.loss_iou: 0.3006 d2.loss_cls: 0.3388 d2.loss_bbox: 0.1834 d2.loss_iou: 0.2938 d3.loss_cls: 0.3322 d3.loss_bbox: 0.1820 d3.loss_iou: 0.2955 d4.loss_cls: 0.3252 d4.loss_bbox: 0.1832 d4.loss_iou: 0.2962 enc_loss_cls: 0.3823 enc_loss_bbox: 0.2159 enc_loss_iou: 0.3397 dn_loss_cls: 0.0967 dn_loss_bbox: 0.1866 dn_loss_iou: 0.2561 d0.dn_loss_cls: 0.1910 d0.dn_loss_bbox: 0.3421 d0.dn_loss_iou: 0.4151 d1.dn_loss_cls: 0.1360 d1.dn_loss_bbox: 0.2233 d1.dn_loss_iou: 0.2922 d2.dn_loss_cls: 0.1157 d2.dn_loss_bbox: 0.1949 d2.dn_loss_iou: 0.2639 d3.dn_loss_cls: 0.1016 d3.dn_loss_bbox: 0.1871 d3.dn_loss_iou: 0.2570 d4.dn_loss_cls: 0.0970 d4.dn_loss_bbox: 0.1866 d4.dn_loss_iou: 0.2561 d1.loss_lmm_region: 0.1608 loss_lmm_image: 0.8429 2024/11/03 03:52:06 - mmengine - INFO - Iter(train) [ 55200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:04:04 time: 0.9739 data_time: 0.0177 memory: 21177 grad_norm: 21.2231 loss: 9.2208 loss_cls: 0.2676 loss_bbox: 0.1433 loss_iou: 0.2458 d0.loss_cls: 0.3086 d0.loss_bbox: 0.1555 d0.loss_iou: 0.2637 d1.loss_cls: 0.2920 d1.loss_bbox: 0.1449 d1.loss_iou: 0.2513 d2.loss_cls: 0.2847 d2.loss_bbox: 0.1404 d2.loss_iou: 0.2432 d3.loss_cls: 0.2753 d3.loss_bbox: 0.1438 d3.loss_iou: 0.2463 d4.loss_cls: 0.2695 d4.loss_bbox: 0.1438 d4.loss_iou: 0.2472 enc_loss_cls: 0.3254 enc_loss_bbox: 0.1704 enc_loss_iou: 0.2869 dn_loss_cls: 0.0801 dn_loss_bbox: 0.1719 dn_loss_iou: 0.2135 d0.dn_loss_cls: 0.1746 d0.dn_loss_bbox: 0.3439 d0.dn_loss_iou: 0.3726 d1.dn_loss_cls: 0.1123 d1.dn_loss_bbox: 0.2138 d1.dn_loss_iou: 0.2514 d2.dn_loss_cls: 0.0960 d2.dn_loss_bbox: 0.1844 d2.dn_loss_iou: 0.2237 d3.dn_loss_cls: 0.0857 d3.dn_loss_bbox: 0.1735 d3.dn_loss_iou: 0.2152 d4.dn_loss_cls: 0.0811 d4.dn_loss_bbox: 0.1717 d4.dn_loss_iou: 0.2136 d1.loss_lmm_region: 0.1539 loss_lmm_image: 0.8382 2024/11/03 03:53:44 - mmengine - INFO - Iter(train) [ 55300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:02:23 time: 0.9753 data_time: 0.0175 memory: 20782 grad_norm: 21.3744 loss: 9.3406 loss_cls: 0.2744 loss_bbox: 0.1538 loss_iou: 0.2481 d0.loss_cls: 0.3040 d0.loss_bbox: 0.1656 d0.loss_iou: 0.2662 d1.loss_cls: 0.2934 d1.loss_bbox: 0.1532 d1.loss_iou: 0.2493 d2.loss_cls: 0.2868 d2.loss_bbox: 0.1496 d2.loss_iou: 0.2482 d3.loss_cls: 0.2835 d3.loss_bbox: 0.1512 d3.loss_iou: 0.2487 d4.loss_cls: 0.2750 d4.loss_bbox: 0.1543 d4.loss_iou: 0.2489 enc_loss_cls: 0.3287 enc_loss_bbox: 0.1790 enc_loss_iou: 0.2841 dn_loss_cls: 0.0784 dn_loss_bbox: 0.1709 dn_loss_iou: 0.2211 d0.dn_loss_cls: 0.1691 d0.dn_loss_bbox: 0.3386 d0.dn_loss_iou: 0.3782 d1.dn_loss_cls: 0.1127 d1.dn_loss_bbox: 0.2085 d1.dn_loss_iou: 0.2568 d2.dn_loss_cls: 0.0935 d2.dn_loss_bbox: 0.1788 d2.dn_loss_iou: 0.2295 d3.dn_loss_cls: 0.0829 d3.dn_loss_bbox: 0.1723 d3.dn_loss_iou: 0.2228 d4.dn_loss_cls: 0.0799 d4.dn_loss_bbox: 0.1710 d4.dn_loss_iou: 0.2211 d1.loss_lmm_region: 0.1603 loss_lmm_image: 0.8479 2024/11/03 03:55:21 - mmengine - INFO - Iter(train) [ 55400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:00:41 time: 0.9694 data_time: 0.0178 memory: 21066 grad_norm: 24.1032 loss: 9.8160 loss_cls: 0.2905 loss_bbox: 0.1504 loss_iou: 0.2675 d0.loss_cls: 0.3281 d0.loss_bbox: 0.1597 d0.loss_iou: 0.2804 d1.loss_cls: 0.3018 d1.loss_bbox: 0.1529 d1.loss_iou: 0.2736 d2.loss_cls: 0.2937 d2.loss_bbox: 0.1518 d2.loss_iou: 0.2675 d3.loss_cls: 0.2942 d3.loss_bbox: 0.1496 d3.loss_iou: 0.2664 d4.loss_cls: 0.2919 d4.loss_bbox: 0.1502 d4.loss_iou: 0.2672 enc_loss_cls: 0.3401 enc_loss_bbox: 0.1720 enc_loss_iou: 0.3048 dn_loss_cls: 0.0915 dn_loss_bbox: 0.1855 dn_loss_iou: 0.2389 d0.dn_loss_cls: 0.1775 d0.dn_loss_bbox: 0.3601 d0.dn_loss_iou: 0.4061 d1.dn_loss_cls: 0.1255 d1.dn_loss_bbox: 0.2240 d1.dn_loss_iou: 0.2790 d2.dn_loss_cls: 0.1050 d2.dn_loss_bbox: 0.1935 d2.dn_loss_iou: 0.2485 d3.dn_loss_cls: 0.0969 d3.dn_loss_bbox: 0.1872 d3.dn_loss_iou: 0.2405 d4.dn_loss_cls: 0.0925 d4.dn_loss_bbox: 0.1855 d4.dn_loss_iou: 0.2389 d1.loss_lmm_region: 0.1326 loss_lmm_image: 0.8526 2024/11/03 03:56:59 - mmengine - INFO - Iter(train) [ 55500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:59:00 time: 0.9762 data_time: 0.0178 memory: 20991 grad_norm: 21.5475 loss: 8.8735 loss_cls: 0.2750 loss_bbox: 0.1267 loss_iou: 0.2333 d0.loss_cls: 0.3089 d0.loss_bbox: 0.1377 d0.loss_iou: 0.2509 d1.loss_cls: 0.2885 d1.loss_bbox: 0.1305 d1.loss_iou: 0.2400 d2.loss_cls: 0.2800 d2.loss_bbox: 0.1275 d2.loss_iou: 0.2348 d3.loss_cls: 0.2806 d3.loss_bbox: 0.1254 d3.loss_iou: 0.2314 d4.loss_cls: 0.2757 d4.loss_bbox: 0.1266 d4.loss_iou: 0.2337 enc_loss_cls: 0.3205 enc_loss_bbox: 0.1471 enc_loss_iou: 0.2680 dn_loss_cls: 0.0815 dn_loss_bbox: 0.1583 dn_loss_iou: 0.2210 d0.dn_loss_cls: 0.1669 d0.dn_loss_bbox: 0.3050 d0.dn_loss_iou: 0.3710 d1.dn_loss_cls: 0.1109 d1.dn_loss_bbox: 0.1933 d1.dn_loss_iou: 0.2542 d2.dn_loss_cls: 0.0948 d2.dn_loss_bbox: 0.1660 d2.dn_loss_iou: 0.2289 d3.dn_loss_cls: 0.0854 d3.dn_loss_bbox: 0.1593 d3.dn_loss_iou: 0.2222 d4.dn_loss_cls: 0.0819 d4.dn_loss_bbox: 0.1584 d4.dn_loss_iou: 0.2211 d1.loss_lmm_region: 0.1182 loss_lmm_image: 0.8324 2024/11/03 03:58:37 - mmengine - INFO - Iter(train) [ 55600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:57:19 time: 0.9774 data_time: 0.0176 memory: 20778 grad_norm: 25.2010 loss: 9.1475 loss_cls: 0.2664 loss_bbox: 0.1434 loss_iou: 0.2395 d0.loss_cls: 0.3014 d0.loss_bbox: 0.1574 d0.loss_iou: 0.2617 d1.loss_cls: 0.2859 d1.loss_bbox: 0.1450 d1.loss_iou: 0.2479 d2.loss_cls: 0.2756 d2.loss_bbox: 0.1431 d2.loss_iou: 0.2422 d3.loss_cls: 0.2707 d3.loss_bbox: 0.1415 d3.loss_iou: 0.2389 d4.loss_cls: 0.2692 d4.loss_bbox: 0.1416 d4.loss_iou: 0.2391 enc_loss_cls: 0.3192 enc_loss_bbox: 0.1664 enc_loss_iou: 0.2734 dn_loss_cls: 0.0849 dn_loss_bbox: 0.1779 dn_loss_iou: 0.2206 d0.dn_loss_cls: 0.1696 d0.dn_loss_bbox: 0.3284 d0.dn_loss_iou: 0.3650 d1.dn_loss_cls: 0.1146 d1.dn_loss_bbox: 0.2066 d1.dn_loss_iou: 0.2525 d2.dn_loss_cls: 0.1009 d2.dn_loss_bbox: 0.1869 d2.dn_loss_iou: 0.2290 d3.dn_loss_cls: 0.0889 d3.dn_loss_bbox: 0.1783 d3.dn_loss_iou: 0.2214 d4.dn_loss_cls: 0.0846 d4.dn_loss_bbox: 0.1777 d4.dn_loss_iou: 0.2205 d1.loss_lmm_region: 0.1438 loss_lmm_image: 0.8259 2024/11/03 04:00:15 - mmengine - INFO - Iter(train) [ 55700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:55:39 time: 0.9825 data_time: 0.0177 memory: 21266 grad_norm: 21.8929 loss: 11.0924 loss_cls: 0.3614 loss_bbox: 0.1825 loss_iou: 0.3205 d0.loss_cls: 0.4001 d0.loss_bbox: 0.1868 d0.loss_iou: 0.3332 d1.loss_cls: 0.3831 d1.loss_bbox: 0.1804 d1.loss_iou: 0.3224 d2.loss_cls: 0.3779 d2.loss_bbox: 0.1757 d2.loss_iou: 0.3185 d3.loss_cls: 0.3668 d3.loss_bbox: 0.1783 d3.loss_iou: 0.3203 d4.loss_cls: 0.3684 d4.loss_bbox: 0.1787 d4.loss_iou: 0.3180 enc_loss_cls: 0.4151 enc_loss_bbox: 0.2081 enc_loss_iou: 0.3577 dn_loss_cls: 0.1025 dn_loss_bbox: 0.1979 dn_loss_iou: 0.2471 d0.dn_loss_cls: 0.1900 d0.dn_loss_bbox: 0.3696 d0.dn_loss_iou: 0.4101 d1.dn_loss_cls: 0.1345 d1.dn_loss_bbox: 0.2389 d1.dn_loss_iou: 0.2842 d2.dn_loss_cls: 0.1165 d2.dn_loss_bbox: 0.2104 d2.dn_loss_iou: 0.2582 d3.dn_loss_cls: 0.1065 d3.dn_loss_bbox: 0.1988 d3.dn_loss_iou: 0.2487 d4.dn_loss_cls: 0.1020 d4.dn_loss_bbox: 0.1978 d4.dn_loss_iou: 0.2468 d1.loss_lmm_region: 0.1532 loss_lmm_image: 0.8245 2024/11/03 04:01:54 - mmengine - INFO - Iter(train) [ 55800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:53:59 time: 0.9883 data_time: 0.0177 memory: 21208 grad_norm: 22.1535 loss: 10.2985 loss_cls: 0.2910 loss_bbox: 0.1791 loss_iou: 0.2825 d0.loss_cls: 0.3300 d0.loss_bbox: 0.1876 d0.loss_iou: 0.2958 d1.loss_cls: 0.3070 d1.loss_bbox: 0.1818 d1.loss_iou: 0.2875 d2.loss_cls: 0.3028 d2.loss_bbox: 0.1746 d2.loss_iou: 0.2797 d3.loss_cls: 0.2955 d3.loss_bbox: 0.1787 d3.loss_iou: 0.2811 d4.loss_cls: 0.2927 d4.loss_bbox: 0.1793 d4.loss_iou: 0.2818 enc_loss_cls: 0.3548 enc_loss_bbox: 0.1931 enc_loss_iou: 0.3073 dn_loss_cls: 0.0855 dn_loss_bbox: 0.2123 dn_loss_iou: 0.2551 d0.dn_loss_cls: 0.1722 d0.dn_loss_bbox: 0.3808 d0.dn_loss_iou: 0.4102 d1.dn_loss_cls: 0.1181 d1.dn_loss_bbox: 0.2489 d1.dn_loss_iou: 0.2866 d2.dn_loss_cls: 0.0995 d2.dn_loss_bbox: 0.2215 d2.dn_loss_iou: 0.2626 d3.dn_loss_cls: 0.0915 d3.dn_loss_bbox: 0.2132 d3.dn_loss_iou: 0.2557 d4.dn_loss_cls: 0.0864 d4.dn_loss_bbox: 0.2124 d4.dn_loss_iou: 0.2551 d1.loss_lmm_region: 0.1677 loss_lmm_image: 0.7998 2024/11/03 04:03:31 - mmengine - INFO - Iter(train) [ 55900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:52:17 time: 0.9754 data_time: 0.0177 memory: 20593 grad_norm: 23.5903 loss: 9.2811 loss_cls: 0.2529 loss_bbox: 0.1394 loss_iou: 0.2397 d0.loss_cls: 0.2782 d0.loss_bbox: 0.1557 d0.loss_iou: 0.2578 d1.loss_cls: 0.2644 d1.loss_bbox: 0.1467 d1.loss_iou: 0.2463 d2.loss_cls: 0.2598 d2.loss_bbox: 0.1432 d2.loss_iou: 0.2417 d3.loss_cls: 0.2521 d3.loss_bbox: 0.1455 d3.loss_iou: 0.2426 d4.loss_cls: 0.2543 d4.loss_bbox: 0.1397 d4.loss_iou: 0.2399 enc_loss_cls: 0.2972 enc_loss_bbox: 0.1697 enc_loss_iou: 0.2734 dn_loss_cls: 0.0962 dn_loss_bbox: 0.1950 dn_loss_iou: 0.2335 d0.dn_loss_cls: 0.1733 d0.dn_loss_bbox: 0.3502 d0.dn_loss_iou: 0.3824 d1.dn_loss_cls: 0.1229 d1.dn_loss_bbox: 0.2311 d1.dn_loss_iou: 0.2683 d2.dn_loss_cls: 0.1088 d2.dn_loss_bbox: 0.2028 d2.dn_loss_iou: 0.2425 d3.dn_loss_cls: 0.0994 d3.dn_loss_bbox: 0.1966 d3.dn_loss_iou: 0.2353 d4.dn_loss_cls: 0.0969 d4.dn_loss_bbox: 0.1952 d4.dn_loss_iou: 0.2335 d1.loss_lmm_region: 0.1424 loss_lmm_image: 0.8347 2024/11/03 04:05:09 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 04:05:09 - mmengine - INFO - Iter(train) [ 56000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:50:37 time: 0.9814 data_time: 0.0177 memory: 20623 grad_norm: 22.9309 loss: 10.9660 loss_cls: 0.3233 loss_bbox: 0.1945 loss_iou: 0.3384 d0.loss_cls: 0.3668 d0.loss_bbox: 0.2043 d0.loss_iou: 0.3576 d1.loss_cls: 0.3499 d1.loss_bbox: 0.1970 d1.loss_iou: 0.3438 d2.loss_cls: 0.3404 d2.loss_bbox: 0.1925 d2.loss_iou: 0.3392 d3.loss_cls: 0.3294 d3.loss_bbox: 0.1952 d3.loss_iou: 0.3397 d4.loss_cls: 0.3244 d4.loss_bbox: 0.1949 d4.loss_iou: 0.3387 enc_loss_cls: 0.3764 enc_loss_bbox: 0.2346 enc_loss_iou: 0.3878 dn_loss_cls: 0.0940 dn_loss_bbox: 0.1947 dn_loss_iou: 0.2471 d0.dn_loss_cls: 0.1741 d0.dn_loss_bbox: 0.3484 d0.dn_loss_iou: 0.4028 d1.dn_loss_cls: 0.1216 d1.dn_loss_bbox: 0.2325 d1.dn_loss_iou: 0.2838 d2.dn_loss_cls: 0.1064 d2.dn_loss_bbox: 0.2041 d2.dn_loss_iou: 0.2565 d3.dn_loss_cls: 0.0978 d3.dn_loss_bbox: 0.1960 d3.dn_loss_iou: 0.2487 d4.dn_loss_cls: 0.0940 d4.dn_loss_bbox: 0.1946 d4.dn_loss_iou: 0.2470 d1.loss_lmm_region: 0.1458 loss_lmm_image: 0.8074 2024/11/03 04:06:47 - mmengine - INFO - Iter(train) [ 56100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:48:56 time: 0.9754 data_time: 0.0176 memory: 20843 grad_norm: 22.2497 loss: 9.4156 loss_cls: 0.2965 loss_bbox: 0.1396 loss_iou: 0.2538 d0.loss_cls: 0.3275 d0.loss_bbox: 0.1590 d0.loss_iou: 0.2751 d1.loss_cls: 0.3102 d1.loss_bbox: 0.1510 d1.loss_iou: 0.2624 d2.loss_cls: 0.3021 d2.loss_bbox: 0.1428 d2.loss_iou: 0.2554 d3.loss_cls: 0.3018 d3.loss_bbox: 0.1383 d3.loss_iou: 0.2528 d4.loss_cls: 0.2964 d4.loss_bbox: 0.1389 d4.loss_iou: 0.2537 enc_loss_cls: 0.3450 enc_loss_bbox: 0.1761 enc_loss_iou: 0.2944 dn_loss_cls: 0.0880 dn_loss_bbox: 0.1714 dn_loss_iou: 0.2151 d0.dn_loss_cls: 0.1687 d0.dn_loss_bbox: 0.3272 d0.dn_loss_iou: 0.3602 d1.dn_loss_cls: 0.1147 d1.dn_loss_bbox: 0.2069 d1.dn_loss_iou: 0.2486 d2.dn_loss_cls: 0.1006 d2.dn_loss_bbox: 0.1793 d2.dn_loss_iou: 0.2233 d3.dn_loss_cls: 0.0919 d3.dn_loss_bbox: 0.1725 d3.dn_loss_iou: 0.2162 d4.dn_loss_cls: 0.0880 d4.dn_loss_bbox: 0.1716 d4.dn_loss_iou: 0.2152 d1.loss_lmm_region: 0.1467 loss_lmm_image: 0.8368 2024/11/03 04:08:25 - mmengine - INFO - Iter(train) [ 56200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:47:16 time: 0.9779 data_time: 0.0175 memory: 21009 grad_norm: 20.7934 loss: 9.4228 loss_cls: 0.2918 loss_bbox: 0.1318 loss_iou: 0.2703 d0.loss_cls: 0.3242 d0.loss_bbox: 0.1463 d0.loss_iou: 0.2892 d1.loss_cls: 0.3098 d1.loss_bbox: 0.1350 d1.loss_iou: 0.2714 d2.loss_cls: 0.3025 d2.loss_bbox: 0.1309 d2.loss_iou: 0.2683 d3.loss_cls: 0.2997 d3.loss_bbox: 0.1296 d3.loss_iou: 0.2674 d4.loss_cls: 0.2935 d4.loss_bbox: 0.1323 d4.loss_iou: 0.2705 enc_loss_cls: 0.3478 enc_loss_bbox: 0.1553 enc_loss_iou: 0.3059 dn_loss_cls: 0.0799 dn_loss_bbox: 0.1721 dn_loss_iou: 0.2177 d0.dn_loss_cls: 0.1632 d0.dn_loss_bbox: 0.3264 d0.dn_loss_iou: 0.3678 d1.dn_loss_cls: 0.1104 d1.dn_loss_bbox: 0.2044 d1.dn_loss_iou: 0.2507 d2.dn_loss_cls: 0.0957 d2.dn_loss_bbox: 0.1802 d2.dn_loss_iou: 0.2259 d3.dn_loss_cls: 0.0858 d3.dn_loss_bbox: 0.1727 d3.dn_loss_iou: 0.2184 d4.dn_loss_cls: 0.0816 d4.dn_loss_bbox: 0.1721 d4.dn_loss_iou: 0.2177 d1.loss_lmm_region: 0.1379 loss_lmm_image: 0.8687 2024/11/03 04:10:03 - mmengine - INFO - Iter(train) [ 56300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:45:35 time: 0.9781 data_time: 0.0178 memory: 21068 grad_norm: 23.0946 loss: 10.4708 loss_cls: 0.3446 loss_bbox: 0.1716 loss_iou: 0.2847 d0.loss_cls: 0.3820 d0.loss_bbox: 0.1903 d0.loss_iou: 0.3087 d1.loss_cls: 0.3601 d1.loss_bbox: 0.1757 d1.loss_iou: 0.2980 d2.loss_cls: 0.3541 d2.loss_bbox: 0.1715 d2.loss_iou: 0.2880 d3.loss_cls: 0.3511 d3.loss_bbox: 0.1685 d3.loss_iou: 0.2843 d4.loss_cls: 0.3445 d4.loss_bbox: 0.1729 d4.loss_iou: 0.2852 enc_loss_cls: 0.3948 enc_loss_bbox: 0.2059 enc_loss_iou: 0.3402 dn_loss_cls: 0.0951 dn_loss_bbox: 0.1886 dn_loss_iou: 0.2230 d0.dn_loss_cls: 0.1846 d0.dn_loss_bbox: 0.3364 d0.dn_loss_iou: 0.3713 d1.dn_loss_cls: 0.1229 d1.dn_loss_bbox: 0.2217 d1.dn_loss_iou: 0.2563 d2.dn_loss_cls: 0.1085 d2.dn_loss_bbox: 0.1970 d2.dn_loss_iou: 0.2320 d3.dn_loss_cls: 0.1006 d3.dn_loss_bbox: 0.1896 d3.dn_loss_iou: 0.2242 d4.dn_loss_cls: 0.0959 d4.dn_loss_bbox: 0.1887 d4.dn_loss_iou: 0.2231 d1.loss_lmm_region: 0.1829 loss_lmm_image: 0.8518 2024/11/03 04:11:41 - mmengine - INFO - Iter(train) [ 56400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:43:54 time: 0.9788 data_time: 0.0175 memory: 21487 grad_norm: 20.4623 loss: 9.5871 loss_cls: 0.3027 loss_bbox: 0.1386 loss_iou: 0.2892 d0.loss_cls: 0.3322 d0.loss_bbox: 0.1584 d0.loss_iou: 0.3061 d1.loss_cls: 0.3152 d1.loss_bbox: 0.1501 d1.loss_iou: 0.3010 d2.loss_cls: 0.3034 d2.loss_bbox: 0.1470 d2.loss_iou: 0.2958 d3.loss_cls: 0.3028 d3.loss_bbox: 0.1456 d3.loss_iou: 0.2935 d4.loss_cls: 0.3017 d4.loss_bbox: 0.1425 d4.loss_iou: 0.2922 enc_loss_cls: 0.3515 enc_loss_bbox: 0.1727 enc_loss_iou: 0.3325 dn_loss_cls: 0.0657 dn_loss_bbox: 0.1559 dn_loss_iou: 0.2272 d0.dn_loss_cls: 0.1547 d0.dn_loss_bbox: 0.2979 d0.dn_loss_iou: 0.3746 d1.dn_loss_cls: 0.0976 d1.dn_loss_bbox: 0.1906 d1.dn_loss_iou: 0.2626 d2.dn_loss_cls: 0.0813 d2.dn_loss_bbox: 0.1652 d2.dn_loss_iou: 0.2367 d3.dn_loss_cls: 0.0712 d3.dn_loss_bbox: 0.1568 d3.dn_loss_iou: 0.2285 d4.dn_loss_cls: 0.0663 d4.dn_loss_bbox: 0.1559 d4.dn_loss_iou: 0.2270 d1.loss_lmm_region: 0.1444 loss_lmm_image: 0.8521 2024/11/03 04:13:19 - mmengine - INFO - Iter(train) [ 56500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:42:13 time: 0.9747 data_time: 0.0175 memory: 20106 grad_norm: 22.0322 loss: 10.6843 loss_cls: 0.3752 loss_bbox: 0.1498 loss_iou: 0.2874 d0.loss_cls: 0.3961 d0.loss_bbox: 0.1663 d0.loss_iou: 0.3029 d1.loss_cls: 0.3844 d1.loss_bbox: 0.1532 d1.loss_iou: 0.2876 d2.loss_cls: 0.3801 d2.loss_bbox: 0.1501 d2.loss_iou: 0.2873 d3.loss_cls: 0.3773 d3.loss_bbox: 0.1516 d3.loss_iou: 0.2876 d4.loss_cls: 0.3753 d4.loss_bbox: 0.1492 d4.loss_iou: 0.2883 enc_loss_cls: 0.4170 enc_loss_bbox: 0.1785 enc_loss_iou: 0.3225 dn_loss_cls: 0.1308 dn_loss_bbox: 0.1717 dn_loss_iou: 0.2330 d0.dn_loss_cls: 0.2148 d0.dn_loss_bbox: 0.3316 d0.dn_loss_iou: 0.3849 d1.dn_loss_cls: 0.1607 d1.dn_loss_bbox: 0.2116 d1.dn_loss_iou: 0.2689 d2.dn_loss_cls: 0.1452 d2.dn_loss_bbox: 0.1825 d2.dn_loss_iou: 0.2413 d3.dn_loss_cls: 0.1375 d3.dn_loss_bbox: 0.1726 d3.dn_loss_iou: 0.2337 d4.dn_loss_cls: 0.1330 d4.dn_loss_bbox: 0.1716 d4.dn_loss_iou: 0.2328 d1.loss_lmm_region: 0.1655 loss_lmm_image: 0.8929 2024/11/03 04:14:56 - mmengine - INFO - Iter(train) [ 56600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:40:32 time: 0.9663 data_time: 0.0176 memory: 21035 grad_norm: 22.0054 loss: 10.6448 loss_cls: 0.3328 loss_bbox: 0.1661 loss_iou: 0.2982 d0.loss_cls: 0.3774 d0.loss_bbox: 0.1767 d0.loss_iou: 0.3163 d1.loss_cls: 0.3544 d1.loss_bbox: 0.1688 d1.loss_iou: 0.3020 d2.loss_cls: 0.3390 d2.loss_bbox: 0.1670 d2.loss_iou: 0.3012 d3.loss_cls: 0.3331 d3.loss_bbox: 0.1658 d3.loss_iou: 0.3008 d4.loss_cls: 0.3327 d4.loss_bbox: 0.1656 d4.loss_iou: 0.2985 enc_loss_cls: 0.3887 enc_loss_bbox: 0.1927 enc_loss_iou: 0.3413 dn_loss_cls: 0.1001 dn_loss_bbox: 0.1837 dn_loss_iou: 0.2481 d0.dn_loss_cls: 0.1948 d0.dn_loss_bbox: 0.3590 d0.dn_loss_iou: 0.4155 d1.dn_loss_cls: 0.1336 d1.dn_loss_bbox: 0.2188 d1.dn_loss_iou: 0.2849 d2.dn_loss_cls: 0.1175 d2.dn_loss_bbox: 0.1920 d2.dn_loss_iou: 0.2578 d3.dn_loss_cls: 0.1043 d3.dn_loss_bbox: 0.1853 d3.dn_loss_iou: 0.2495 d4.dn_loss_cls: 0.1002 d4.dn_loss_bbox: 0.1836 d4.dn_loss_iou: 0.2479 d1.loss_lmm_region: 0.1825 loss_lmm_image: 0.8665 2024/11/03 04:16:34 - mmengine - INFO - Iter(train) [ 56700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:38:51 time: 0.9857 data_time: 0.0176 memory: 21334 grad_norm: 23.6690 loss: 9.5094 loss_cls: 0.3228 loss_bbox: 0.1338 loss_iou: 0.2350 d0.loss_cls: 0.3484 d0.loss_bbox: 0.1477 d0.loss_iou: 0.2544 d1.loss_cls: 0.3343 d1.loss_bbox: 0.1420 d1.loss_iou: 0.2452 d2.loss_cls: 0.3299 d2.loss_bbox: 0.1348 d2.loss_iou: 0.2367 d3.loss_cls: 0.3224 d3.loss_bbox: 0.1357 d3.loss_iou: 0.2360 d4.loss_cls: 0.3232 d4.loss_bbox: 0.1338 d4.loss_iou: 0.2349 enc_loss_cls: 0.3567 enc_loss_bbox: 0.1627 enc_loss_iou: 0.2814 dn_loss_cls: 0.1157 dn_loss_bbox: 0.1751 dn_loss_iou: 0.2096 d0.dn_loss_cls: 0.1894 d0.dn_loss_bbox: 0.3245 d0.dn_loss_iou: 0.3531 d1.dn_loss_cls: 0.1402 d1.dn_loss_bbox: 0.2045 d1.dn_loss_iou: 0.2424 d2.dn_loss_cls: 0.1268 d2.dn_loss_bbox: 0.1806 d2.dn_loss_iou: 0.2168 d3.dn_loss_cls: 0.1158 d3.dn_loss_bbox: 0.1768 d3.dn_loss_iou: 0.2111 d4.dn_loss_cls: 0.1158 d4.dn_loss_bbox: 0.1753 d4.dn_loss_iou: 0.2097 d1.loss_lmm_region: 0.1415 loss_lmm_image: 0.8329 2024/11/03 04:18:11 - mmengine - INFO - Iter(train) [ 56800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:37:09 time: 0.9654 data_time: 0.0175 memory: 21026 grad_norm: 24.0281 loss: 10.4925 loss_cls: 0.3023 loss_bbox: 0.1712 loss_iou: 0.2791 d0.loss_cls: 0.3397 d0.loss_bbox: 0.1794 d0.loss_iou: 0.2961 d1.loss_cls: 0.3249 d1.loss_bbox: 0.1697 d1.loss_iou: 0.2893 d2.loss_cls: 0.3229 d2.loss_bbox: 0.1643 d2.loss_iou: 0.2798 d3.loss_cls: 0.3102 d3.loss_bbox: 0.1698 d3.loss_iou: 0.2797 d4.loss_cls: 0.3021 d4.loss_bbox: 0.1741 d4.loss_iou: 0.2812 enc_loss_cls: 0.3554 enc_loss_bbox: 0.2003 enc_loss_iou: 0.3196 dn_loss_cls: 0.1097 dn_loss_bbox: 0.2021 dn_loss_iou: 0.2604 d0.dn_loss_cls: 0.2145 d0.dn_loss_bbox: 0.3593 d0.dn_loss_iou: 0.4170 d1.dn_loss_cls: 0.1497 d1.dn_loss_bbox: 0.2315 d1.dn_loss_iou: 0.2925 d2.dn_loss_cls: 0.1272 d2.dn_loss_bbox: 0.2069 d2.dn_loss_iou: 0.2667 d3.dn_loss_cls: 0.1164 d3.dn_loss_bbox: 0.2029 d3.dn_loss_iou: 0.2617 d4.dn_loss_cls: 0.1122 d4.dn_loss_bbox: 0.2021 d4.dn_loss_iou: 0.2603 d1.loss_lmm_region: 0.1870 loss_lmm_image: 0.8012 2024/11/03 04:19:49 - mmengine - INFO - Iter(train) [ 56900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:35:28 time: 0.9750 data_time: 0.0176 memory: 20741 grad_norm: 20.0554 loss: 10.1556 loss_cls: 0.3208 loss_bbox: 0.1632 loss_iou: 0.2870 d0.loss_cls: 0.3637 d0.loss_bbox: 0.1826 d0.loss_iou: 0.3093 d1.loss_cls: 0.3419 d1.loss_bbox: 0.1637 d1.loss_iou: 0.2923 d2.loss_cls: 0.3328 d2.loss_bbox: 0.1622 d2.loss_iou: 0.2893 d3.loss_cls: 0.3264 d3.loss_bbox: 0.1650 d3.loss_iou: 0.2898 d4.loss_cls: 0.3213 d4.loss_bbox: 0.1635 d4.loss_iou: 0.2880 enc_loss_cls: 0.3820 enc_loss_bbox: 0.1919 enc_loss_iou: 0.3320 dn_loss_cls: 0.0943 dn_loss_bbox: 0.1671 dn_loss_iou: 0.2322 d0.dn_loss_cls: 0.1732 d0.dn_loss_bbox: 0.3325 d0.dn_loss_iou: 0.3962 d1.dn_loss_cls: 0.1186 d1.dn_loss_bbox: 0.2060 d1.dn_loss_iou: 0.2714 d2.dn_loss_cls: 0.1028 d2.dn_loss_bbox: 0.1772 d2.dn_loss_iou: 0.2424 d3.dn_loss_cls: 0.0965 d3.dn_loss_bbox: 0.1682 d3.dn_loss_iou: 0.2337 d4.dn_loss_cls: 0.0936 d4.dn_loss_bbox: 0.1671 d4.dn_loss_iou: 0.2323 d1.loss_lmm_region: 0.1566 loss_lmm_image: 0.8247 2024/11/03 04:21:26 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 04:21:26 - mmengine - INFO - Iter(train) [ 57000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:33:46 time: 0.9796 data_time: 0.0176 memory: 20811 grad_norm: 22.9309 loss: 9.3662 loss_cls: 0.3282 loss_bbox: 0.1241 loss_iou: 0.2386 d0.loss_cls: 0.3605 d0.loss_bbox: 0.1446 d0.loss_iou: 0.2634 d1.loss_cls: 0.3448 d1.loss_bbox: 0.1321 d1.loss_iou: 0.2479 d2.loss_cls: 0.3366 d2.loss_bbox: 0.1269 d2.loss_iou: 0.2418 d3.loss_cls: 0.3340 d3.loss_bbox: 0.1235 d3.loss_iou: 0.2387 d4.loss_cls: 0.3304 d4.loss_bbox: 0.1251 d4.loss_iou: 0.2384 enc_loss_cls: 0.3788 enc_loss_bbox: 0.1576 enc_loss_iou: 0.2872 dn_loss_cls: 0.0945 dn_loss_bbox: 0.1559 dn_loss_iou: 0.2176 d0.dn_loss_cls: 0.1711 d0.dn_loss_bbox: 0.2963 d0.dn_loss_iou: 0.3635 d1.dn_loss_cls: 0.1239 d1.dn_loss_bbox: 0.1862 d1.dn_loss_iou: 0.2486 d2.dn_loss_cls: 0.1085 d2.dn_loss_bbox: 0.1629 d2.dn_loss_iou: 0.2259 d3.dn_loss_cls: 0.0968 d3.dn_loss_bbox: 0.1570 d3.dn_loss_iou: 0.2188 d4.dn_loss_cls: 0.0941 d4.dn_loss_bbox: 0.1560 d4.dn_loss_iou: 0.2176 d1.loss_lmm_region: 0.1354 loss_lmm_image: 0.8326 2024/11/03 04:23:04 - mmengine - INFO - Iter(train) [ 57100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:32:05 time: 0.9708 data_time: 0.0176 memory: 20808 grad_norm: 21.9827 loss: 9.8727 loss_cls: 0.3067 loss_bbox: 0.1420 loss_iou: 0.3007 d0.loss_cls: 0.3357 d0.loss_bbox: 0.1552 d0.loss_iou: 0.3152 d1.loss_cls: 0.3211 d1.loss_bbox: 0.1455 d1.loss_iou: 0.3046 d2.loss_cls: 0.3143 d2.loss_bbox: 0.1444 d2.loss_iou: 0.3023 d3.loss_cls: 0.3083 d3.loss_bbox: 0.1443 d3.loss_iou: 0.2991 d4.loss_cls: 0.3066 d4.loss_bbox: 0.1427 d4.loss_iou: 0.3004 enc_loss_cls: 0.3532 enc_loss_bbox: 0.1656 enc_loss_iou: 0.3334 dn_loss_cls: 0.0768 dn_loss_bbox: 0.1704 dn_loss_iou: 0.2417 d0.dn_loss_cls: 0.1601 d0.dn_loss_bbox: 0.3202 d0.dn_loss_iou: 0.3943 d1.dn_loss_cls: 0.1078 d1.dn_loss_bbox: 0.2058 d1.dn_loss_iou: 0.2773 d2.dn_loss_cls: 0.0917 d2.dn_loss_bbox: 0.1797 d2.dn_loss_iou: 0.2511 d3.dn_loss_cls: 0.0813 d3.dn_loss_bbox: 0.1717 d3.dn_loss_iou: 0.2428 d4.dn_loss_cls: 0.0773 d4.dn_loss_bbox: 0.1705 d4.dn_loss_iou: 0.2415 d1.loss_lmm_region: 0.1323 loss_lmm_image: 0.8372 2024/11/03 04:24:43 - mmengine - INFO - Iter(train) [ 57200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:30:26 time: 0.9979 data_time: 0.0176 memory: 21396 grad_norm: 20.3494 loss: 10.1811 loss_cls: 0.3249 loss_bbox: 0.1567 loss_iou: 0.3015 d0.loss_cls: 0.3529 d0.loss_bbox: 0.1727 d0.loss_iou: 0.3253 d1.loss_cls: 0.3350 d1.loss_bbox: 0.1654 d1.loss_iou: 0.3093 d2.loss_cls: 0.3314 d2.loss_bbox: 0.1595 d2.loss_iou: 0.3055 d3.loss_cls: 0.3312 d3.loss_bbox: 0.1556 d3.loss_iou: 0.3009 d4.loss_cls: 0.3264 d4.loss_bbox: 0.1571 d4.loss_iou: 0.3004 enc_loss_cls: 0.3781 enc_loss_bbox: 0.1813 enc_loss_iou: 0.3365 dn_loss_cls: 0.0899 dn_loss_bbox: 0.1764 dn_loss_iou: 0.2266 d0.dn_loss_cls: 0.1716 d0.dn_loss_bbox: 0.3433 d0.dn_loss_iou: 0.3851 d1.dn_loss_cls: 0.1191 d1.dn_loss_bbox: 0.2126 d1.dn_loss_iou: 0.2625 d2.dn_loss_cls: 0.1035 d2.dn_loss_bbox: 0.1869 d2.dn_loss_iou: 0.2360 d3.dn_loss_cls: 0.0952 d3.dn_loss_bbox: 0.1775 d3.dn_loss_iou: 0.2284 d4.dn_loss_cls: 0.0912 d4.dn_loss_bbox: 0.1763 d4.dn_loss_iou: 0.2265 d1.loss_lmm_region: 0.1369 loss_lmm_image: 0.8282 2024/11/03 04:26:20 - mmengine - INFO - Iter(train) [ 57300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:28:44 time: 0.9721 data_time: 0.0176 memory: 21244 grad_norm: 22.2344 loss: 10.3034 loss_cls: 0.3371 loss_bbox: 0.1560 loss_iou: 0.2667 d0.loss_cls: 0.3707 d0.loss_bbox: 0.1753 d0.loss_iou: 0.2849 d1.loss_cls: 0.3540 d1.loss_bbox: 0.1666 d1.loss_iou: 0.2756 d2.loss_cls: 0.3416 d2.loss_bbox: 0.1689 d2.loss_iou: 0.2726 d3.loss_cls: 0.3455 d3.loss_bbox: 0.1547 d3.loss_iou: 0.2671 d4.loss_cls: 0.3409 d4.loss_bbox: 0.1546 d4.loss_iou: 0.2644 enc_loss_cls: 0.3833 enc_loss_bbox: 0.1917 enc_loss_iou: 0.3091 dn_loss_cls: 0.1050 dn_loss_bbox: 0.1849 dn_loss_iou: 0.2435 d0.dn_loss_cls: 0.1984 d0.dn_loss_bbox: 0.3413 d0.dn_loss_iou: 0.3951 d1.dn_loss_cls: 0.1374 d1.dn_loss_bbox: 0.2166 d1.dn_loss_iou: 0.2744 d2.dn_loss_cls: 0.1213 d2.dn_loss_bbox: 0.1944 d2.dn_loss_iou: 0.2516 d3.dn_loss_cls: 0.1120 d3.dn_loss_bbox: 0.1857 d3.dn_loss_iou: 0.2444 d4.dn_loss_cls: 0.1061 d4.dn_loss_bbox: 0.1849 d4.dn_loss_iou: 0.2435 d1.loss_lmm_region: 0.1722 loss_lmm_image: 0.8093 2024/11/03 04:27:58 - mmengine - INFO - Iter(train) [ 57400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:27:03 time: 0.9769 data_time: 0.0177 memory: 20808 grad_norm: 21.0207 loss: 9.1675 loss_cls: 0.2950 loss_bbox: 0.1253 loss_iou: 0.2391 d0.loss_cls: 0.3255 d0.loss_bbox: 0.1402 d0.loss_iou: 0.2640 d1.loss_cls: 0.3105 d1.loss_bbox: 0.1287 d1.loss_iou: 0.2490 d2.loss_cls: 0.3004 d2.loss_bbox: 0.1285 d2.loss_iou: 0.2440 d3.loss_cls: 0.2998 d3.loss_bbox: 0.1247 d3.loss_iou: 0.2381 d4.loss_cls: 0.2969 d4.loss_bbox: 0.1246 d4.loss_iou: 0.2383 enc_loss_cls: 0.3451 enc_loss_bbox: 0.1541 enc_loss_iou: 0.2809 dn_loss_cls: 0.0956 dn_loss_bbox: 0.1598 dn_loss_iou: 0.2077 d0.dn_loss_cls: 0.1851 d0.dn_loss_bbox: 0.3156 d0.dn_loss_iou: 0.3603 d1.dn_loss_cls: 0.1274 d1.dn_loss_bbox: 0.2012 d1.dn_loss_iou: 0.2449 d2.dn_loss_cls: 0.1091 d2.dn_loss_bbox: 0.1684 d2.dn_loss_iou: 0.2163 d3.dn_loss_cls: 0.1001 d3.dn_loss_bbox: 0.1609 d3.dn_loss_iou: 0.2089 d4.dn_loss_cls: 0.0958 d4.dn_loss_bbox: 0.1598 d4.dn_loss_iou: 0.2078 d1.loss_lmm_region: 0.1549 loss_lmm_image: 0.8353 2024/11/03 04:29:36 - mmengine - INFO - Iter(train) [ 57500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:25:23 time: 0.9828 data_time: 0.0176 memory: 21139 grad_norm: 22.5536 loss: 9.5095 loss_cls: 0.2801 loss_bbox: 0.1586 loss_iou: 0.2602 d0.loss_cls: 0.3021 d0.loss_bbox: 0.1776 d0.loss_iou: 0.2798 d1.loss_cls: 0.2910 d1.loss_bbox: 0.1634 d1.loss_iou: 0.2664 d2.loss_cls: 0.2818 d2.loss_bbox: 0.1671 d2.loss_iou: 0.2659 d3.loss_cls: 0.2817 d3.loss_bbox: 0.1616 d3.loss_iou: 0.2624 d4.loss_cls: 0.2755 d4.loss_bbox: 0.1616 d4.loss_iou: 0.2618 enc_loss_cls: 0.3249 enc_loss_bbox: 0.1805 enc_loss_iou: 0.2916 dn_loss_cls: 0.0939 dn_loss_bbox: 0.1713 dn_loss_iou: 0.2172 d0.dn_loss_cls: 0.1802 d0.dn_loss_bbox: 0.3281 d0.dn_loss_iou: 0.3719 d1.dn_loss_cls: 0.1217 d1.dn_loss_bbox: 0.1990 d1.dn_loss_iou: 0.2502 d2.dn_loss_cls: 0.1054 d2.dn_loss_bbox: 0.1787 d2.dn_loss_iou: 0.2274 d3.dn_loss_cls: 0.0996 d3.dn_loss_bbox: 0.1723 d3.dn_loss_iou: 0.2188 d4.dn_loss_cls: 0.0953 d4.dn_loss_bbox: 0.1712 d4.dn_loss_iou: 0.2172 d1.loss_lmm_region: 0.1523 loss_lmm_image: 0.8422 2024/11/03 04:31:15 - mmengine - INFO - Iter(train) [ 57600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:23:44 time: 0.9844 data_time: 0.0176 memory: 20776 grad_norm: 23.3808 loss: 9.1907 loss_cls: 0.2870 loss_bbox: 0.1380 loss_iou: 0.2392 d0.loss_cls: 0.3206 d0.loss_bbox: 0.1495 d0.loss_iou: 0.2523 d1.loss_cls: 0.3090 d1.loss_bbox: 0.1375 d1.loss_iou: 0.2377 d2.loss_cls: 0.3061 d2.loss_bbox: 0.1350 d2.loss_iou: 0.2361 d3.loss_cls: 0.2925 d3.loss_bbox: 0.1392 d3.loss_iou: 0.2374 d4.loss_cls: 0.2898 d4.loss_bbox: 0.1380 d4.loss_iou: 0.2377 enc_loss_cls: 0.3323 enc_loss_bbox: 0.1630 enc_loss_iou: 0.2716 dn_loss_cls: 0.1023 dn_loss_bbox: 0.1545 dn_loss_iou: 0.2123 d0.dn_loss_cls: 0.1913 d0.dn_loss_bbox: 0.3008 d0.dn_loss_iou: 0.3553 d1.dn_loss_cls: 0.1384 d1.dn_loss_bbox: 0.1936 d1.dn_loss_iou: 0.2461 d2.dn_loss_cls: 0.1214 d2.dn_loss_bbox: 0.1659 d2.dn_loss_iou: 0.2208 d3.dn_loss_cls: 0.1101 d3.dn_loss_bbox: 0.1567 d3.dn_loss_iou: 0.2140 d4.dn_loss_cls: 0.1041 d4.dn_loss_bbox: 0.1544 d4.dn_loss_iou: 0.2120 d1.loss_lmm_region: 0.1448 loss_lmm_image: 0.8423 2024/11/03 04:32:52 - mmengine - INFO - Iter(train) [ 57700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:22:02 time: 0.9663 data_time: 0.0178 memory: 20213 grad_norm: 22.7147 loss: 9.6046 loss_cls: 0.3006 loss_bbox: 0.1438 loss_iou: 0.2564 d0.loss_cls: 0.3273 d0.loss_bbox: 0.1507 d0.loss_iou: 0.2717 d1.loss_cls: 0.3116 d1.loss_bbox: 0.1498 d1.loss_iou: 0.2668 d2.loss_cls: 0.3069 d2.loss_bbox: 0.1446 d2.loss_iou: 0.2578 d3.loss_cls: 0.3030 d3.loss_bbox: 0.1435 d3.loss_iou: 0.2564 d4.loss_cls: 0.3004 d4.loss_bbox: 0.1432 d4.loss_iou: 0.2557 enc_loss_cls: 0.3419 enc_loss_bbox: 0.1678 enc_loss_iou: 0.2894 dn_loss_cls: 0.1043 dn_loss_bbox: 0.1707 dn_loss_iou: 0.2239 d0.dn_loss_cls: 0.1891 d0.dn_loss_bbox: 0.3292 d0.dn_loss_iou: 0.3781 d1.dn_loss_cls: 0.1379 d1.dn_loss_bbox: 0.1966 d1.dn_loss_iou: 0.2537 d2.dn_loss_cls: 0.1228 d2.dn_loss_bbox: 0.1751 d2.dn_loss_iou: 0.2300 d3.dn_loss_cls: 0.1099 d3.dn_loss_bbox: 0.1709 d3.dn_loss_iou: 0.2247 d4.dn_loss_cls: 0.1047 d4.dn_loss_bbox: 0.1706 d4.dn_loss_iou: 0.2238 d1.loss_lmm_region: 0.1772 loss_lmm_image: 0.8217 2024/11/03 04:34:30 - mmengine - INFO - Iter(train) [ 57800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:20:22 time: 0.9815 data_time: 0.0177 memory: 20311 grad_norm: 21.5571 loss: 8.5283 loss_cls: 0.2701 loss_bbox: 0.1118 loss_iou: 0.2232 d0.loss_cls: 0.3069 d0.loss_bbox: 0.1255 d0.loss_iou: 0.2395 d1.loss_cls: 0.2831 d1.loss_bbox: 0.1183 d1.loss_iou: 0.2314 d2.loss_cls: 0.2840 d2.loss_bbox: 0.1131 d2.loss_iou: 0.2238 d3.loss_cls: 0.2731 d3.loss_bbox: 0.1133 d3.loss_iou: 0.2241 d4.loss_cls: 0.2701 d4.loss_bbox: 0.1127 d4.loss_iou: 0.2235 enc_loss_cls: 0.3192 enc_loss_bbox: 0.1363 enc_loss_iou: 0.2594 dn_loss_cls: 0.0944 dn_loss_bbox: 0.1366 dn_loss_iou: 0.1967 d0.dn_loss_cls: 0.1749 d0.dn_loss_bbox: 0.2804 d0.dn_loss_iou: 0.3404 d1.dn_loss_cls: 0.1174 d1.dn_loss_bbox: 0.1700 d1.dn_loss_iou: 0.2284 d2.dn_loss_cls: 0.1049 d2.dn_loss_bbox: 0.1450 d2.dn_loss_iou: 0.2043 d3.dn_loss_cls: 0.0962 d3.dn_loss_bbox: 0.1372 d3.dn_loss_iou: 0.1972 d4.dn_loss_cls: 0.0948 d4.dn_loss_bbox: 0.1365 d4.dn_loss_iou: 0.1967 d1.loss_lmm_region: 0.1517 loss_lmm_image: 0.8623 2024/11/03 04:36:08 - mmengine - INFO - Iter(train) [ 57900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:18:41 time: 0.9899 data_time: 0.0177 memory: 20968 grad_norm: 41.5747 loss: 10.2558 loss_cls: 0.3226 loss_bbox: 0.1536 loss_iou: 0.3088 d0.loss_cls: 0.3628 d0.loss_bbox: 0.1597 d0.loss_iou: 0.3181 d1.loss_cls: 0.3490 d1.loss_bbox: 0.1527 d1.loss_iou: 0.3105 d2.loss_cls: 0.3416 d2.loss_bbox: 0.1498 d2.loss_iou: 0.3056 d3.loss_cls: 0.3325 d3.loss_bbox: 0.1496 d3.loss_iou: 0.3051 d4.loss_cls: 0.3231 d4.loss_bbox: 0.1534 d4.loss_iou: 0.3065 enc_loss_cls: 0.3850 enc_loss_bbox: 0.1714 enc_loss_iou: 0.3386 dn_loss_cls: 0.1050 dn_loss_bbox: 0.1597 dn_loss_iou: 0.2355 d0.dn_loss_cls: 0.1891 d0.dn_loss_bbox: 0.2973 d0.dn_loss_iou: 0.3857 d1.dn_loss_cls: 0.1300 d1.dn_loss_bbox: 0.1868 d1.dn_loss_iou: 0.2686 d2.dn_loss_cls: 0.1152 d2.dn_loss_bbox: 0.1671 d2.dn_loss_iou: 0.2453 d3.dn_loss_cls: 0.1091 d3.dn_loss_bbox: 0.1598 d3.dn_loss_iou: 0.2369 d4.dn_loss_cls: 0.1069 d4.dn_loss_bbox: 0.1598 d4.dn_loss_iou: 0.2355 d1.loss_lmm_region: 0.1657 loss_lmm_image: 0.8970 2024/11/03 04:37:45 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 04:37:45 - mmengine - INFO - Iter(train) [ 58000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:17:00 time: 0.9695 data_time: 0.0178 memory: 20320 grad_norm: 22.0243 loss: 8.5518 loss_cls: 0.2562 loss_bbox: 0.1103 loss_iou: 0.2024 d0.loss_cls: 0.2856 d0.loss_bbox: 0.1254 d0.loss_iou: 0.2219 d1.loss_cls: 0.2724 d1.loss_bbox: 0.1167 d1.loss_iou: 0.2097 d2.loss_cls: 0.2646 d2.loss_bbox: 0.1137 d2.loss_iou: 0.2045 d3.loss_cls: 0.2632 d3.loss_bbox: 0.1104 d3.loss_iou: 0.2022 d4.loss_cls: 0.2585 d4.loss_bbox: 0.1099 d4.loss_iou: 0.2020 enc_loss_cls: 0.2999 enc_loss_bbox: 0.1376 enc_loss_iou: 0.2403 dn_loss_cls: 0.0957 dn_loss_bbox: 0.1645 dn_loss_iou: 0.2040 d0.dn_loss_cls: 0.1901 d0.dn_loss_bbox: 0.3279 d0.dn_loss_iou: 0.3546 d1.dn_loss_cls: 0.1291 d1.dn_loss_bbox: 0.2029 d1.dn_loss_iou: 0.2389 d2.dn_loss_cls: 0.1107 d2.dn_loss_bbox: 0.1744 d2.dn_loss_iou: 0.2142 d3.dn_loss_cls: 0.1005 d3.dn_loss_bbox: 0.1667 d3.dn_loss_iou: 0.2057 d4.dn_loss_cls: 0.0959 d4.dn_loss_bbox: 0.1646 d4.dn_loss_iou: 0.2039 d1.loss_lmm_region: 0.1578 loss_lmm_image: 0.8422 2024/11/03 04:39:23 - mmengine - INFO - Iter(train) [ 58100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:15:19 time: 0.9797 data_time: 0.0178 memory: 20359 grad_norm: 21.7836 loss: 10.4348 loss_cls: 0.3216 loss_bbox: 0.1791 loss_iou: 0.2768 d0.loss_cls: 0.3575 d0.loss_bbox: 0.1979 d0.loss_iou: 0.2951 d1.loss_cls: 0.3428 d1.loss_bbox: 0.1844 d1.loss_iou: 0.2790 d2.loss_cls: 0.3348 d2.loss_bbox: 0.1806 d2.loss_iou: 0.2782 d3.loss_cls: 0.3329 d3.loss_bbox: 0.1783 d3.loss_iou: 0.2748 d4.loss_cls: 0.3247 d4.loss_bbox: 0.1778 d4.loss_iou: 0.2738 enc_loss_cls: 0.3761 enc_loss_bbox: 0.2104 enc_loss_iou: 0.3125 dn_loss_cls: 0.0847 dn_loss_bbox: 0.2019 dn_loss_iou: 0.2444 d0.dn_loss_cls: 0.1921 d0.dn_loss_bbox: 0.3763 d0.dn_loss_iou: 0.3983 d1.dn_loss_cls: 0.1271 d1.dn_loss_bbox: 0.2403 d1.dn_loss_iou: 0.2787 d2.dn_loss_cls: 0.1023 d2.dn_loss_bbox: 0.2139 d2.dn_loss_iou: 0.2543 d3.dn_loss_cls: 0.0917 d3.dn_loss_bbox: 0.2014 d3.dn_loss_iou: 0.2448 d4.dn_loss_cls: 0.0861 d4.dn_loss_bbox: 0.2019 d4.dn_loss_iou: 0.2444 d1.loss_lmm_region: 0.1598 loss_lmm_image: 0.8014 2024/11/03 04:41:01 - mmengine - INFO - Iter(train) [ 58200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:13:38 time: 0.9873 data_time: 0.0177 memory: 21849 grad_norm: 28.4667 loss: 9.5235 loss_cls: 0.2911 loss_bbox: 0.1490 loss_iou: 0.2861 d0.loss_cls: 0.3182 d0.loss_bbox: 0.1649 d0.loss_iou: 0.3021 d1.loss_cls: 0.3042 d1.loss_bbox: 0.1570 d1.loss_iou: 0.2944 d2.loss_cls: 0.2972 d2.loss_bbox: 0.1512 d2.loss_iou: 0.2877 d3.loss_cls: 0.2948 d3.loss_bbox: 0.1505 d3.loss_iou: 0.2864 d4.loss_cls: 0.2922 d4.loss_bbox: 0.1497 d4.loss_iou: 0.2854 enc_loss_cls: 0.3407 enc_loss_bbox: 0.1702 enc_loss_iou: 0.3182 dn_loss_cls: 0.0731 dn_loss_bbox: 0.1686 dn_loss_iou: 0.2251 d0.dn_loss_cls: 0.1488 d0.dn_loss_bbox: 0.2978 d0.dn_loss_iou: 0.3623 d1.dn_loss_cls: 0.1003 d1.dn_loss_bbox: 0.1953 d1.dn_loss_iou: 0.2549 d2.dn_loss_cls: 0.0849 d2.dn_loss_bbox: 0.1757 d2.dn_loss_iou: 0.2330 d3.dn_loss_cls: 0.0767 d3.dn_loss_bbox: 0.1689 d3.dn_loss_iou: 0.2259 d4.dn_loss_cls: 0.0731 d4.dn_loss_bbox: 0.1685 d4.dn_loss_iou: 0.2250 d1.loss_lmm_region: 0.1348 loss_lmm_image: 0.8398 2024/11/03 04:42:39 - mmengine - INFO - Iter(train) [ 58300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:11:58 time: 0.9661 data_time: 0.0178 memory: 21568 grad_norm: nan loss: 9.5007 loss_cls: 0.2816 loss_bbox: 0.1524 loss_iou: 0.2531 d0.loss_cls: 0.2999 d0.loss_bbox: 0.1688 d0.loss_iou: 0.2717 d1.loss_cls: 0.2928 d1.loss_bbox: 0.1547 d1.loss_iou: 0.2566 d2.loss_cls: 0.2808 d2.loss_bbox: 0.1569 d2.loss_iou: 0.2582 d3.loss_cls: 0.2821 d3.loss_bbox: 0.1543 d3.loss_iou: 0.2560 d4.loss_cls: 0.2803 d4.loss_bbox: 0.1535 d4.loss_iou: 0.2519 enc_loss_cls: 0.3212 enc_loss_bbox: 0.1802 enc_loss_iou: 0.2895 dn_loss_cls: 0.0843 dn_loss_bbox: 0.1883 dn_loss_iou: 0.2278 d0.dn_loss_cls: 0.1656 d0.dn_loss_bbox: 0.3484 d0.dn_loss_iou: 0.3742 d1.dn_loss_cls: 0.1134 d1.dn_loss_bbox: 0.2237 d1.dn_loss_iou: 0.2591 d2.dn_loss_cls: 0.0995 d2.dn_loss_bbox: 0.1966 d2.dn_loss_iou: 0.2345 d3.dn_loss_cls: 0.0910 d3.dn_loss_bbox: 0.1890 d3.dn_loss_iou: 0.2285 d4.dn_loss_cls: 0.0858 d4.dn_loss_bbox: 0.1882 d4.dn_loss_iou: 0.2277 d1.loss_lmm_region: 0.1532 loss_lmm_image: 0.8259 2024/11/03 04:44:16 - mmengine - INFO - Iter(train) [ 58400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:10:16 time: 0.9673 data_time: 0.0177 memory: 20825 grad_norm: 22.6386 loss: 9.5124 loss_cls: 0.2720 loss_bbox: 0.1324 loss_iou: 0.2503 d0.loss_cls: 0.3090 d0.loss_bbox: 0.1476 d0.loss_iou: 0.2697 d1.loss_cls: 0.2941 d1.loss_bbox: 0.1357 d1.loss_iou: 0.2571 d2.loss_cls: 0.2836 d2.loss_bbox: 0.1343 d2.loss_iou: 0.2499 d3.loss_cls: 0.2756 d3.loss_bbox: 0.1339 d3.loss_iou: 0.2495 d4.loss_cls: 0.2722 d4.loss_bbox: 0.1329 d4.loss_iou: 0.2513 enc_loss_cls: 0.3284 enc_loss_bbox: 0.1586 enc_loss_iou: 0.2936 dn_loss_cls: 0.0962 dn_loss_bbox: 0.1831 dn_loss_iou: 0.2373 d0.dn_loss_cls: 0.1926 d0.dn_loss_bbox: 0.3685 d0.dn_loss_iou: 0.4022 d1.dn_loss_cls: 0.1346 d1.dn_loss_bbox: 0.2280 d1.dn_loss_iou: 0.2775 d2.dn_loss_cls: 0.1143 d2.dn_loss_bbox: 0.1931 d2.dn_loss_iou: 0.2462 d3.dn_loss_cls: 0.1022 d3.dn_loss_bbox: 0.1849 d3.dn_loss_iou: 0.2386 d4.dn_loss_cls: 0.0975 d4.dn_loss_bbox: 0.1830 d4.dn_loss_iou: 0.2374 d1.loss_lmm_region: 0.1547 loss_lmm_image: 0.8086 2024/11/03 04:45:54 - mmengine - INFO - Iter(train) [ 58500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:08:36 time: 0.9707 data_time: 0.0177 memory: 21299 grad_norm: 22.5716 loss: 10.4163 loss_cls: 0.3357 loss_bbox: 0.1685 loss_iou: 0.2784 d0.loss_cls: 0.3806 d0.loss_bbox: 0.1801 d0.loss_iou: 0.2960 d1.loss_cls: 0.3550 d1.loss_bbox: 0.1729 d1.loss_iou: 0.2844 d2.loss_cls: 0.3480 d2.loss_bbox: 0.1672 d2.loss_iou: 0.2801 d3.loss_cls: 0.3443 d3.loss_bbox: 0.1682 d3.loss_iou: 0.2762 d4.loss_cls: 0.3403 d4.loss_bbox: 0.1677 d4.loss_iou: 0.2749 enc_loss_cls: 0.3971 enc_loss_bbox: 0.1902 enc_loss_iou: 0.3125 dn_loss_cls: 0.1002 dn_loss_bbox: 0.1959 dn_loss_iou: 0.2337 d0.dn_loss_cls: 0.1916 d0.dn_loss_bbox: 0.3351 d0.dn_loss_iou: 0.3759 d1.dn_loss_cls: 0.1324 d1.dn_loss_bbox: 0.2279 d1.dn_loss_iou: 0.2696 d2.dn_loss_cls: 0.1140 d2.dn_loss_bbox: 0.2065 d2.dn_loss_iou: 0.2444 d3.dn_loss_cls: 0.1042 d3.dn_loss_bbox: 0.1965 d3.dn_loss_iou: 0.2351 d4.dn_loss_cls: 0.1003 d4.dn_loss_bbox: 0.1959 d4.dn_loss_iou: 0.2337 d1.loss_lmm_region: 0.1647 loss_lmm_image: 0.8408 2024/11/03 04:47:32 - mmengine - INFO - Iter(train) [ 58600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:06:56 time: 0.9940 data_time: 0.0177 memory: 21039 grad_norm: 19.8471 loss: 11.0769 loss_cls: 0.3629 loss_bbox: 0.1776 loss_iou: 0.3507 d0.loss_cls: 0.3972 d0.loss_bbox: 0.1892 d0.loss_iou: 0.3676 d1.loss_cls: 0.3785 d1.loss_bbox: 0.1799 d1.loss_iou: 0.3577 d2.loss_cls: 0.3713 d2.loss_bbox: 0.1781 d2.loss_iou: 0.3531 d3.loss_cls: 0.3678 d3.loss_bbox: 0.1771 d3.loss_iou: 0.3501 d4.loss_cls: 0.3641 d4.loss_bbox: 0.1769 d4.loss_iou: 0.3505 enc_loss_cls: 0.4131 enc_loss_bbox: 0.2000 enc_loss_iou: 0.3931 dn_loss_cls: 0.0903 dn_loss_bbox: 0.1791 dn_loss_iou: 0.2460 d0.dn_loss_cls: 0.1717 d0.dn_loss_bbox: 0.3243 d0.dn_loss_iou: 0.3969 d1.dn_loss_cls: 0.1204 d1.dn_loss_bbox: 0.2133 d1.dn_loss_iou: 0.2809 d2.dn_loss_cls: 0.1070 d2.dn_loss_bbox: 0.1873 d2.dn_loss_iou: 0.2547 d3.dn_loss_cls: 0.0946 d3.dn_loss_bbox: 0.1794 d3.dn_loss_iou: 0.2476 d4.dn_loss_cls: 0.0905 d4.dn_loss_bbox: 0.1791 d4.dn_loss_iou: 0.2459 d1.loss_lmm_region: 0.1580 loss_lmm_image: 0.8535 2024/11/03 04:49:10 - mmengine - INFO - Iter(train) [ 58700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:05:15 time: 0.9816 data_time: 0.0177 memory: 20318 grad_norm: 27.1442 loss: 9.4068 loss_cls: 0.2970 loss_bbox: 0.1304 loss_iou: 0.2408 d0.loss_cls: 0.3244 d0.loss_bbox: 0.1442 d0.loss_iou: 0.2648 d1.loss_cls: 0.3202 d1.loss_bbox: 0.1341 d1.loss_iou: 0.2488 d2.loss_cls: 0.3102 d2.loss_bbox: 0.1275 d2.loss_iou: 0.2412 d3.loss_cls: 0.3031 d3.loss_bbox: 0.1271 d3.loss_iou: 0.2408 d4.loss_cls: 0.2997 d4.loss_bbox: 0.1283 d4.loss_iou: 0.2420 enc_loss_cls: 0.3528 enc_loss_bbox: 0.1535 enc_loss_iou: 0.2813 dn_loss_cls: 0.0912 dn_loss_bbox: 0.1719 dn_loss_iou: 0.2215 d0.dn_loss_cls: 0.1874 d0.dn_loss_bbox: 0.3354 d0.dn_loss_iou: 0.3720 d1.dn_loss_cls: 0.1257 d1.dn_loss_bbox: 0.2086 d1.dn_loss_iou: 0.2579 d2.dn_loss_cls: 0.1029 d2.dn_loss_bbox: 0.1811 d2.dn_loss_iou: 0.2301 d3.dn_loss_cls: 0.0941 d3.dn_loss_bbox: 0.1741 d3.dn_loss_iou: 0.2230 d4.dn_loss_cls: 0.0925 d4.dn_loss_bbox: 0.1718 d4.dn_loss_iou: 0.2213 d1.loss_lmm_region: 0.1665 loss_lmm_image: 0.8655 2024/11/03 04:50:49 - mmengine - INFO - Iter(train) [ 58800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:03:36 time: 0.9864 data_time: 0.0176 memory: 21688 grad_norm: 21.4689 loss: 10.1973 loss_cls: 0.3220 loss_bbox: 0.1534 loss_iou: 0.2992 d0.loss_cls: 0.3527 d0.loss_bbox: 0.1702 d0.loss_iou: 0.3195 d1.loss_cls: 0.3337 d1.loss_bbox: 0.1612 d1.loss_iou: 0.3039 d2.loss_cls: 0.3275 d2.loss_bbox: 0.1590 d2.loss_iou: 0.3016 d3.loss_cls: 0.3267 d3.loss_bbox: 0.1519 d3.loss_iou: 0.2951 d4.loss_cls: 0.3216 d4.loss_bbox: 0.1543 d4.loss_iou: 0.2994 enc_loss_cls: 0.3632 enc_loss_bbox: 0.1885 enc_loss_iou: 0.3454 dn_loss_cls: 0.0954 dn_loss_bbox: 0.1780 dn_loss_iou: 0.2394 d0.dn_loss_cls: 0.1794 d0.dn_loss_bbox: 0.3271 d0.dn_loss_iou: 0.3923 d1.dn_loss_cls: 0.1220 d1.dn_loss_bbox: 0.2118 d1.dn_loss_iou: 0.2740 d2.dn_loss_cls: 0.1047 d2.dn_loss_bbox: 0.1878 d2.dn_loss_iou: 0.2491 d3.dn_loss_cls: 0.0984 d3.dn_loss_bbox: 0.1796 d3.dn_loss_iou: 0.2411 d4.dn_loss_cls: 0.0957 d4.dn_loss_bbox: 0.1781 d4.dn_loss_iou: 0.2395 d1.loss_lmm_region: 0.1325 loss_lmm_image: 0.8210 2024/11/03 04:52:26 - mmengine - INFO - Iter(train) [ 58900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:01:54 time: 0.9673 data_time: 0.0177 memory: 21850 grad_norm: 23.6290 loss: 9.8715 loss_cls: 0.2872 loss_bbox: 0.1513 loss_iou: 0.2553 d0.loss_cls: 0.3196 d0.loss_bbox: 0.1738 d0.loss_iou: 0.2747 d1.loss_cls: 0.3054 d1.loss_bbox: 0.1617 d1.loss_iou: 0.2641 d2.loss_cls: 0.2989 d2.loss_bbox: 0.1562 d2.loss_iou: 0.2578 d3.loss_cls: 0.2936 d3.loss_bbox: 0.1541 d3.loss_iou: 0.2572 d4.loss_cls: 0.2922 d4.loss_bbox: 0.1495 d4.loss_iou: 0.2527 enc_loss_cls: 0.3423 enc_loss_bbox: 0.1833 enc_loss_iou: 0.2921 dn_loss_cls: 0.0921 dn_loss_bbox: 0.2013 dn_loss_iou: 0.2420 d0.dn_loss_cls: 0.1844 d0.dn_loss_bbox: 0.3627 d0.dn_loss_iou: 0.3991 d1.dn_loss_cls: 0.1292 d1.dn_loss_bbox: 0.2348 d1.dn_loss_iou: 0.2771 d2.dn_loss_cls: 0.1101 d2.dn_loss_bbox: 0.2103 d2.dn_loss_iou: 0.2512 d3.dn_loss_cls: 0.0995 d3.dn_loss_bbox: 0.2031 d3.dn_loss_iou: 0.2440 d4.dn_loss_cls: 0.0934 d4.dn_loss_bbox: 0.2014 d4.dn_loss_iou: 0.2421 d1.loss_lmm_region: 0.1626 loss_lmm_image: 0.8082 2024/11/03 04:54:04 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 04:54:04 - mmengine - INFO - Iter(train) [ 59000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:00:14 time: 0.9844 data_time: 0.0177 memory: 21092 grad_norm: 22.1533 loss: 9.9965 loss_cls: 0.3070 loss_bbox: 0.1550 loss_iou: 0.2685 d0.loss_cls: 0.3357 d0.loss_bbox: 0.1738 d0.loss_iou: 0.2861 d1.loss_cls: 0.3187 d1.loss_bbox: 0.1666 d1.loss_iou: 0.2774 d2.loss_cls: 0.3097 d2.loss_bbox: 0.1619 d2.loss_iou: 0.2723 d3.loss_cls: 0.3051 d3.loss_bbox: 0.1596 d3.loss_iou: 0.2701 d4.loss_cls: 0.3081 d4.loss_bbox: 0.1539 d4.loss_iou: 0.2681 enc_loss_cls: 0.3488 enc_loss_bbox: 0.1955 enc_loss_iou: 0.3128 dn_loss_cls: 0.0935 dn_loss_bbox: 0.1950 dn_loss_iou: 0.2318 d0.dn_loss_cls: 0.1811 d0.dn_loss_bbox: 0.3350 d0.dn_loss_iou: 0.3783 d1.dn_loss_cls: 0.1273 d1.dn_loss_bbox: 0.2245 d1.dn_loss_iou: 0.2659 d2.dn_loss_cls: 0.1117 d2.dn_loss_bbox: 0.2011 d2.dn_loss_iou: 0.2410 d3.dn_loss_cls: 0.0990 d3.dn_loss_bbox: 0.1949 d3.dn_loss_iou: 0.2331 d4.dn_loss_cls: 0.0943 d4.dn_loss_bbox: 0.1948 d4.dn_loss_iou: 0.2318 d1.loss_lmm_region: 0.1658 loss_lmm_image: 0.8419 2024/11/03 04:55:41 - mmengine - INFO - Iter(train) [ 59100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:58:33 time: 0.9735 data_time: 0.0177 memory: 21020 grad_norm: 20.9082 loss: 9.3479 loss_cls: 0.3077 loss_bbox: 0.1316 loss_iou: 0.2573 d0.loss_cls: 0.3444 d0.loss_bbox: 0.1472 d0.loss_iou: 0.2783 d1.loss_cls: 0.3263 d1.loss_bbox: 0.1341 d1.loss_iou: 0.2620 d2.loss_cls: 0.3201 d2.loss_bbox: 0.1320 d2.loss_iou: 0.2546 d3.loss_cls: 0.3121 d3.loss_bbox: 0.1315 d3.loss_iou: 0.2567 d4.loss_cls: 0.3093 d4.loss_bbox: 0.1309 d4.loss_iou: 0.2564 enc_loss_cls: 0.3699 enc_loss_bbox: 0.1612 enc_loss_iou: 0.2996 dn_loss_cls: 0.0836 dn_loss_bbox: 0.1548 dn_loss_iou: 0.2122 d0.dn_loss_cls: 0.1666 d0.dn_loss_bbox: 0.3030 d0.dn_loss_iou: 0.3591 d1.dn_loss_cls: 0.1123 d1.dn_loss_bbox: 0.1873 d1.dn_loss_iou: 0.2448 d2.dn_loss_cls: 0.0976 d2.dn_loss_bbox: 0.1631 d2.dn_loss_iou: 0.2190 d3.dn_loss_cls: 0.0883 d3.dn_loss_bbox: 0.1564 d3.dn_loss_iou: 0.2135 d4.dn_loss_cls: 0.0839 d4.dn_loss_bbox: 0.1550 d4.dn_loss_iou: 0.2122 d1.loss_lmm_region: 0.1478 loss_lmm_image: 0.8642 2024/11/03 04:57:20 - mmengine - INFO - Iter(train) [ 59200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:56:53 time: 0.9804 data_time: 0.0179 memory: 21495 grad_norm: 22.3021 loss: 9.2349 loss_cls: 0.2943 loss_bbox: 0.1351 loss_iou: 0.2315 d0.loss_cls: 0.3446 d0.loss_bbox: 0.1402 d0.loss_iou: 0.2416 d1.loss_cls: 0.3240 d1.loss_bbox: 0.1344 d1.loss_iou: 0.2312 d2.loss_cls: 0.3066 d2.loss_bbox: 0.1374 d2.loss_iou: 0.2332 d3.loss_cls: 0.2968 d3.loss_bbox: 0.1367 d3.loss_iou: 0.2343 d4.loss_cls: 0.2942 d4.loss_bbox: 0.1360 d4.loss_iou: 0.2320 enc_loss_cls: 0.3605 enc_loss_bbox: 0.1525 enc_loss_iou: 0.2644 dn_loss_cls: 0.0881 dn_loss_bbox: 0.1689 dn_loss_iou: 0.2171 d0.dn_loss_cls: 0.1796 d0.dn_loss_bbox: 0.3134 d0.dn_loss_iou: 0.3609 d1.dn_loss_cls: 0.1220 d1.dn_loss_bbox: 0.2032 d1.dn_loss_iou: 0.2506 d2.dn_loss_cls: 0.0988 d2.dn_loss_bbox: 0.1760 d2.dn_loss_iou: 0.2255 d3.dn_loss_cls: 0.0900 d3.dn_loss_bbox: 0.1704 d3.dn_loss_iou: 0.2183 d4.dn_loss_cls: 0.0885 d4.dn_loss_bbox: 0.1687 d4.dn_loss_iou: 0.2171 d1.loss_lmm_region: 0.1593 loss_lmm_image: 0.8570 2024/11/03 04:58:58 - mmengine - INFO - Iter(train) [ 59300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:55:13 time: 0.9792 data_time: 0.0176 memory: 21769 grad_norm: 25.8150 loss: 10.1100 loss_cls: 0.3271 loss_bbox: 0.1536 loss_iou: 0.2802 d0.loss_cls: 0.3723 d0.loss_bbox: 0.1674 d0.loss_iou: 0.3012 d1.loss_cls: 0.3467 d1.loss_bbox: 0.1624 d1.loss_iou: 0.2926 d2.loss_cls: 0.3428 d2.loss_bbox: 0.1555 d2.loss_iou: 0.2819 d3.loss_cls: 0.3329 d3.loss_bbox: 0.1550 d3.loss_iou: 0.2815 d4.loss_cls: 0.3299 d4.loss_bbox: 0.1541 d4.loss_iou: 0.2798 enc_loss_cls: 0.3893 enc_loss_bbox: 0.1871 enc_loss_iou: 0.3246 dn_loss_cls: 0.0946 dn_loss_bbox: 0.1843 dn_loss_iou: 0.2204 d0.dn_loss_cls: 0.1738 d0.dn_loss_bbox: 0.3328 d0.dn_loss_iou: 0.3667 d1.dn_loss_cls: 0.1221 d1.dn_loss_bbox: 0.2226 d1.dn_loss_iou: 0.2537 d2.dn_loss_cls: 0.1079 d2.dn_loss_bbox: 0.1948 d2.dn_loss_iou: 0.2289 d3.dn_loss_cls: 0.0988 d3.dn_loss_bbox: 0.1861 d3.dn_loss_iou: 0.2217 d4.dn_loss_cls: 0.0951 d4.dn_loss_bbox: 0.1843 d4.dn_loss_iou: 0.2202 d1.loss_lmm_region: 0.1381 loss_lmm_image: 0.8452 2024/11/03 05:00:35 - mmengine - INFO - Iter(train) [ 59400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:53:31 time: 0.9550 data_time: 0.0176 memory: 20336 grad_norm: 23.4531 loss: 9.6940 loss_cls: 0.3059 loss_bbox: 0.1452 loss_iou: 0.2662 d0.loss_cls: 0.3514 d0.loss_bbox: 0.1507 d0.loss_iou: 0.2834 d1.loss_cls: 0.3255 d1.loss_bbox: 0.1490 d1.loss_iou: 0.2719 d2.loss_cls: 0.3188 d2.loss_bbox: 0.1453 d2.loss_iou: 0.2652 d3.loss_cls: 0.3082 d3.loss_bbox: 0.1460 d3.loss_iou: 0.2674 d4.loss_cls: 0.3037 d4.loss_bbox: 0.1465 d4.loss_iou: 0.2671 enc_loss_cls: 0.3624 enc_loss_bbox: 0.1648 enc_loss_iou: 0.2989 dn_loss_cls: 0.1570 dn_loss_bbox: 0.1555 dn_loss_iou: 0.2062 d0.dn_loss_cls: 0.2029 d0.dn_loss_bbox: 0.2877 d0.dn_loss_iou: 0.3412 d1.dn_loss_cls: 0.1357 d1.dn_loss_bbox: 0.1864 d1.dn_loss_iou: 0.2365 d2.dn_loss_cls: 0.1288 d2.dn_loss_bbox: 0.1650 d2.dn_loss_iou: 0.2148 d3.dn_loss_cls: 0.1449 d3.dn_loss_bbox: 0.1569 d3.dn_loss_iou: 0.2075 d4.dn_loss_cls: 0.1626 d4.dn_loss_bbox: 0.1557 d4.dn_loss_iou: 0.2063 d1.loss_lmm_region: 0.1720 loss_lmm_image: 0.8271 2024/11/03 05:02:12 - mmengine - INFO - Iter(train) [ 59500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:51:50 time: 0.9723 data_time: 0.0177 memory: 20265 grad_norm: 29.0310 loss: 9.2992 loss_cls: 0.2834 loss_bbox: 0.1395 loss_iou: 0.2519 d0.loss_cls: 0.3100 d0.loss_bbox: 0.1577 d0.loss_iou: 0.2762 d1.loss_cls: 0.3022 d1.loss_bbox: 0.1453 d1.loss_iou: 0.2556 d2.loss_cls: 0.2945 d2.loss_bbox: 0.1414 d2.loss_iou: 0.2508 d3.loss_cls: 0.2878 d3.loss_bbox: 0.1403 d3.loss_iou: 0.2524 d4.loss_cls: 0.2848 d4.loss_bbox: 0.1391 d4.loss_iou: 0.2516 enc_loss_cls: 0.3380 enc_loss_bbox: 0.1666 enc_loss_iou: 0.2930 dn_loss_cls: 0.0761 dn_loss_bbox: 0.1694 dn_loss_iou: 0.2189 d0.dn_loss_cls: 0.1667 d0.dn_loss_bbox: 0.3120 d0.dn_loss_iou: 0.3705 d1.dn_loss_cls: 0.1090 d1.dn_loss_bbox: 0.1978 d1.dn_loss_iou: 0.2511 d2.dn_loss_cls: 0.0913 d2.dn_loss_bbox: 0.1765 d2.dn_loss_iou: 0.2274 d3.dn_loss_cls: 0.0815 d3.dn_loss_bbox: 0.1702 d3.dn_loss_iou: 0.2200 d4.dn_loss_cls: 0.0772 d4.dn_loss_bbox: 0.1693 d4.dn_loss_iou: 0.2188 d1.loss_lmm_region: 0.1427 loss_lmm_image: 0.8905 2024/11/03 05:03:50 - mmengine - INFO - Iter(train) [ 59600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:50:09 time: 0.9780 data_time: 0.0176 memory: 21805 grad_norm: 23.0194 loss: 10.5276 loss_cls: 0.3362 loss_bbox: 0.1562 loss_iou: 0.2992 d0.loss_cls: 0.3680 d0.loss_bbox: 0.1709 d0.loss_iou: 0.3235 d1.loss_cls: 0.3532 d1.loss_bbox: 0.1628 d1.loss_iou: 0.3067 d2.loss_cls: 0.3459 d2.loss_bbox: 0.1579 d2.loss_iou: 0.3001 d3.loss_cls: 0.3399 d3.loss_bbox: 0.1577 d3.loss_iou: 0.3003 d4.loss_cls: 0.3374 d4.loss_bbox: 0.1565 d4.loss_iou: 0.2988 enc_loss_cls: 0.3892 enc_loss_bbox: 0.1867 enc_loss_iou: 0.3414 dn_loss_cls: 0.1195 dn_loss_bbox: 0.1680 dn_loss_iou: 0.2439 d0.dn_loss_cls: 0.2027 d0.dn_loss_bbox: 0.3367 d0.dn_loss_iou: 0.4072 d1.dn_loss_cls: 0.1522 d1.dn_loss_bbox: 0.2050 d1.dn_loss_iou: 0.2800 d2.dn_loss_cls: 0.1340 d2.dn_loss_bbox: 0.1787 d2.dn_loss_iou: 0.2538 d3.dn_loss_cls: 0.1256 d3.dn_loss_bbox: 0.1704 d3.dn_loss_iou: 0.2455 d4.dn_loss_cls: 0.1214 d4.dn_loss_bbox: 0.1681 d4.dn_loss_iou: 0.2438 d1.loss_lmm_region: 0.1315 loss_lmm_image: 0.8509 2024/11/03 05:05:28 - mmengine - INFO - Iter(train) [ 59700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:48:28 time: 0.9713 data_time: 0.0176 memory: 20630 grad_norm: 23.2906 loss: 9.0004 loss_cls: 0.2451 loss_bbox: 0.1413 loss_iou: 0.2298 d0.loss_cls: 0.2843 d0.loss_bbox: 0.1524 d0.loss_iou: 0.2456 d1.loss_cls: 0.2642 d1.loss_bbox: 0.1470 d1.loss_iou: 0.2364 d2.loss_cls: 0.2569 d2.loss_bbox: 0.1416 d2.loss_iou: 0.2301 d3.loss_cls: 0.2509 d3.loss_bbox: 0.1429 d3.loss_iou: 0.2309 d4.loss_cls: 0.2458 d4.loss_bbox: 0.1425 d4.loss_iou: 0.2302 enc_loss_cls: 0.3132 enc_loss_bbox: 0.1643 enc_loss_iou: 0.2592 dn_loss_cls: 0.0854 dn_loss_bbox: 0.1791 dn_loss_iou: 0.2217 d0.dn_loss_cls: 0.1779 d0.dn_loss_bbox: 0.3340 d0.dn_loss_iou: 0.3735 d1.dn_loss_cls: 0.1205 d1.dn_loss_bbox: 0.2168 d1.dn_loss_iou: 0.2555 d2.dn_loss_cls: 0.1025 d2.dn_loss_bbox: 0.1865 d2.dn_loss_iou: 0.2299 d3.dn_loss_cls: 0.0932 d3.dn_loss_bbox: 0.1796 d3.dn_loss_iou: 0.2228 d4.dn_loss_cls: 0.0871 d4.dn_loss_bbox: 0.1791 d4.dn_loss_iou: 0.2216 d1.loss_lmm_region: 0.1445 loss_lmm_image: 0.8349 2024/11/03 05:07:06 - mmengine - INFO - Iter(train) [ 59800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:46:48 time: 0.9841 data_time: 0.0177 memory: 20377 grad_norm: 27.6204 loss: 10.4575 loss_cls: 0.3128 loss_bbox: 0.1820 loss_iou: 0.2916 d0.loss_cls: 0.3481 d0.loss_bbox: 0.1879 d0.loss_iou: 0.3054 d1.loss_cls: 0.3307 d1.loss_bbox: 0.1792 d1.loss_iou: 0.2966 d2.loss_cls: 0.3184 d2.loss_bbox: 0.1815 d2.loss_iou: 0.2919 d3.loss_cls: 0.3186 d3.loss_bbox: 0.1818 d3.loss_iou: 0.2904 d4.loss_cls: 0.3142 d4.loss_bbox: 0.1815 d4.loss_iou: 0.2911 enc_loss_cls: 0.3723 enc_loss_bbox: 0.2011 enc_loss_iou: 0.3223 dn_loss_cls: 0.0960 dn_loss_bbox: 0.1924 dn_loss_iou: 0.2415 d0.dn_loss_cls: 0.1951 d0.dn_loss_bbox: 0.3612 d0.dn_loss_iou: 0.3987 d1.dn_loss_cls: 0.1332 d1.dn_loss_bbox: 0.2229 d1.dn_loss_iou: 0.2733 d2.dn_loss_cls: 0.1134 d2.dn_loss_bbox: 0.2037 d2.dn_loss_iou: 0.2513 d3.dn_loss_cls: 0.1035 d3.dn_loss_bbox: 0.1939 d3.dn_loss_iou: 0.2431 d4.dn_loss_cls: 0.0985 d4.dn_loss_bbox: 0.1924 d4.dn_loss_iou: 0.2416 d1.loss_lmm_region: 0.1660 loss_lmm_image: 0.8366 2024/11/03 05:08:43 - mmengine - INFO - Iter(train) [ 59900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:45:06 time: 0.9722 data_time: 0.0177 memory: 21417 grad_norm: 21.6818 loss: 8.5258 loss_cls: 0.2533 loss_bbox: 0.1231 loss_iou: 0.2074 d0.loss_cls: 0.2799 d0.loss_bbox: 0.1435 d0.loss_iou: 0.2324 d1.loss_cls: 0.2662 d1.loss_bbox: 0.1302 d1.loss_iou: 0.2211 d2.loss_cls: 0.2626 d2.loss_bbox: 0.1259 d2.loss_iou: 0.2107 d3.loss_cls: 0.2586 d3.loss_bbox: 0.1227 d3.loss_iou: 0.2062 d4.loss_cls: 0.2536 d4.loss_bbox: 0.1228 d4.loss_iou: 0.2073 enc_loss_cls: 0.3011 enc_loss_bbox: 0.1573 enc_loss_iou: 0.2533 dn_loss_cls: 0.0733 dn_loss_bbox: 0.1669 dn_loss_iou: 0.2106 d0.dn_loss_cls: 0.1667 d0.dn_loss_bbox: 0.3329 d0.dn_loss_iou: 0.3622 d1.dn_loss_cls: 0.1062 d1.dn_loss_bbox: 0.2037 d1.dn_loss_iou: 0.2455 d2.dn_loss_cls: 0.0881 d2.dn_loss_bbox: 0.1756 d2.dn_loss_iou: 0.2191 d3.dn_loss_cls: 0.0803 d3.dn_loss_bbox: 0.1678 d3.dn_loss_iou: 0.2112 d4.dn_loss_cls: 0.0742 d4.dn_loss_bbox: 0.1669 d4.dn_loss_iou: 0.2106 d1.loss_lmm_region: 0.1301 loss_lmm_image: 0.7948 2024/11/03 05:10:21 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 05:10:21 - mmengine - INFO - Iter(train) [ 60000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:43:26 time: 0.9806 data_time: 0.0175 memory: 20197 grad_norm: 21.4939 loss: 9.7507 loss_cls: 0.2840 loss_bbox: 0.1445 loss_iou: 0.2623 d0.loss_cls: 0.3243 d0.loss_bbox: 0.1600 d0.loss_iou: 0.2776 d1.loss_cls: 0.3085 d1.loss_bbox: 0.1473 d1.loss_iou: 0.2658 d2.loss_cls: 0.2970 d2.loss_bbox: 0.1465 d2.loss_iou: 0.2628 d3.loss_cls: 0.2959 d3.loss_bbox: 0.1422 d3.loss_iou: 0.2592 d4.loss_cls: 0.2838 d4.loss_bbox: 0.1452 d4.loss_iou: 0.2629 enc_loss_cls: 0.3405 enc_loss_bbox: 0.1730 enc_loss_iou: 0.2974 dn_loss_cls: 0.1001 dn_loss_bbox: 0.1811 dn_loss_iou: 0.2424 d0.dn_loss_cls: 0.1810 d0.dn_loss_bbox: 0.3342 d0.dn_loss_iou: 0.3993 d1.dn_loss_cls: 0.1298 d1.dn_loss_bbox: 0.2191 d1.dn_loss_iou: 0.2797 d2.dn_loss_cls: 0.1145 d2.dn_loss_bbox: 0.1910 d2.dn_loss_iou: 0.2529 d3.dn_loss_cls: 0.1034 d3.dn_loss_bbox: 0.1823 d3.dn_loss_iou: 0.2437 d4.dn_loss_cls: 0.1013 d4.dn_loss_bbox: 0.1812 d4.dn_loss_iou: 0.2424 d1.loss_lmm_region: 0.1413 loss_lmm_image: 0.8494 2024/11/03 05:10:21 - mmengine - INFO - Saving checkpoint at 60000 iterations 2024/11/03 05:15:08 - mmengine - INFO - Iter(val) [100/602] eta: 0:18:37 time: 2.3429 data_time: 0.0017 memory: 5368 2024/11/03 05:19:36 - mmengine - INFO - Iter(val) [200/602] eta: 0:16:25 time: 2.8186 data_time: 0.0017 memory: 5375 2024/11/03 05:24:57 - mmengine - INFO - Iter(val) [300/602] eta: 0:13:36 time: 3.3046 data_time: 0.0019 memory: 5371 2024/11/03 05:31:02 - mmengine - INFO - Iter(val) [400/602] eta: 0:09:54 time: 3.7843 data_time: 0.0018 memory: 5375 2024/11/03 05:37:48 - mmengine - INFO - Iter(val) [500/602] eta: 0:05:22 time: 4.1262 data_time: 0.0018 memory: 5363 2024/11/03 05:45:17 - mmengine - INFO - Iter(val) [600/602] eta: 0:00:06 time: 4.5772 data_time: 0.0018 memory: 5375 2024/11/03 05:51:59 - mmengine - INFO - === 134 classes had less than 10000 detections! Outputting 10000 detections for each class will improve AP further. === 2024/11/03 05:54:25 - mmengine - INFO - mAP_copypaste: {'AP': 0.4245043527358042, 'AP50': 0.5346246658000469, 'AP75': 0.45253601667690835, 'APs': 0.3839104542181046, 'APm': 0.5520593837964334, 'APl': 0.634257141644809, 'APr': 0.33432996619936034, 'APc': 0.37198491469813966, 'APf': 0.4873100421459462} 2024/11/03 05:54:48 - mmengine - INFO - Iter(val) [602/602] lvis_fixed_ap/AP: 0.4245 lvis_fixed_ap/AP50: 0.5346 lvis_fixed_ap/AP75: 0.4525 lvis_fixed_ap/APs: 0.3839 lvis_fixed_ap/APm: 0.5521 lvis_fixed_ap/APl: 0.6343 lvis_fixed_ap/APr: 0.3343 lvis_fixed_ap/APc: 0.3720 lvis_fixed_ap/APf: 0.4873 data_time: 0.0019 time: 3.3899 2024/11/03 05:56:26 - mmengine - INFO - Iter(train) [ 60100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:55:46 time: 0.9718 data_time: 0.0178 memory: 20870 grad_norm: 21.8024 loss: 9.3189 loss_cls: 0.3031 loss_bbox: 0.1283 loss_iou: 0.2697 d0.loss_cls: 0.3263 d0.loss_bbox: 0.1414 d0.loss_iou: 0.2874 d1.loss_cls: 0.3132 d1.loss_bbox: 0.1296 d1.loss_iou: 0.2744 d2.loss_cls: 0.3091 d2.loss_bbox: 0.1284 d2.loss_iou: 0.2700 d3.loss_cls: 0.3074 d3.loss_bbox: 0.1265 d3.loss_iou: 0.2668 d4.loss_cls: 0.3025 d4.loss_bbox: 0.1281 d4.loss_iou: 0.2692 enc_loss_cls: 0.3510 enc_loss_bbox: 0.1508 enc_loss_iou: 0.3004 dn_loss_cls: 0.1024 dn_loss_bbox: 0.1429 dn_loss_iou: 0.2121 d0.dn_loss_cls: 0.1727 d0.dn_loss_bbox: 0.2715 d0.dn_loss_iou: 0.3498 d1.dn_loss_cls: 0.1261 d1.dn_loss_bbox: 0.1708 d1.dn_loss_iou: 0.2433 d2.dn_loss_cls: 0.1139 d2.dn_loss_bbox: 0.1511 d2.dn_loss_iou: 0.2202 d3.dn_loss_cls: 0.1092 d3.dn_loss_bbox: 0.1434 d3.dn_loss_iou: 0.2131 d4.dn_loss_cls: 0.1015 d4.dn_loss_bbox: 0.1427 d4.dn_loss_iou: 0.2121 d1.loss_lmm_region: 0.1442 loss_lmm_image: 0.8923 2024/11/03 05:58:03 - mmengine - INFO - Iter(train) [ 60200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:54:02 time: 0.9701 data_time: 0.0178 memory: 20932 grad_norm: 21.0136 loss: 9.7867 loss_cls: 0.3202 loss_bbox: 0.1463 loss_iou: 0.2537 d0.loss_cls: 0.3505 d0.loss_bbox: 0.1596 d0.loss_iou: 0.2704 d1.loss_cls: 0.3368 d1.loss_bbox: 0.1471 d1.loss_iou: 0.2523 d2.loss_cls: 0.3305 d2.loss_bbox: 0.1436 d2.loss_iou: 0.2484 d3.loss_cls: 0.3247 d3.loss_bbox: 0.1462 d3.loss_iou: 0.2508 d4.loss_cls: 0.3204 d4.loss_bbox: 0.1461 d4.loss_iou: 0.2537 enc_loss_cls: 0.3618 enc_loss_bbox: 0.1656 enc_loss_iou: 0.2844 dn_loss_cls: 0.1138 dn_loss_bbox: 0.1682 dn_loss_iou: 0.2218 d0.dn_loss_cls: 0.2058 d0.dn_loss_bbox: 0.3168 d0.dn_loss_iou: 0.3690 d1.dn_loss_cls: 0.1483 d1.dn_loss_bbox: 0.2004 d1.dn_loss_iou: 0.2553 d2.dn_loss_cls: 0.1305 d2.dn_loss_bbox: 0.1758 d2.dn_loss_iou: 0.2293 d3.dn_loss_cls: 0.1202 d3.dn_loss_bbox: 0.1698 d3.dn_loss_iou: 0.2234 d4.dn_loss_cls: 0.1154 d4.dn_loss_bbox: 0.1681 d4.dn_loss_iou: 0.2218 d1.loss_lmm_region: 0.1742 loss_lmm_image: 0.8459 2024/11/03 05:59:40 - mmengine - INFO - Iter(train) [ 60300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:52:19 time: 0.9694 data_time: 0.0178 memory: 19572 grad_norm: nan loss: 9.5331 loss_cls: 0.2696 loss_bbox: 0.1481 loss_iou: 0.2462 d0.loss_cls: 0.3030 d0.loss_bbox: 0.1622 d0.loss_iou: 0.2626 d1.loss_cls: 0.2856 d1.loss_bbox: 0.1554 d1.loss_iou: 0.2528 d2.loss_cls: 0.2839 d2.loss_bbox: 0.1477 d2.loss_iou: 0.2472 d3.loss_cls: 0.2785 d3.loss_bbox: 0.1464 d3.loss_iou: 0.2432 d4.loss_cls: 0.2737 d4.loss_bbox: 0.1471 d4.loss_iou: 0.2439 enc_loss_cls: 0.3265 enc_loss_bbox: 0.1766 enc_loss_iou: 0.2838 dn_loss_cls: 0.0968 dn_loss_bbox: 0.1869 dn_loss_iou: 0.2225 d0.dn_loss_cls: 0.1826 d0.dn_loss_bbox: 0.3571 d0.dn_loss_iou: 0.3777 d1.dn_loss_cls: 0.1292 d1.dn_loss_bbox: 0.2218 d1.dn_loss_iou: 0.2559 d2.dn_loss_cls: 0.1134 d2.dn_loss_bbox: 0.1974 d2.dn_loss_iou: 0.2313 d3.dn_loss_cls: 0.1026 d3.dn_loss_bbox: 0.1883 d3.dn_loss_iou: 0.2237 d4.dn_loss_cls: 0.0974 d4.dn_loss_bbox: 0.1870 d4.dn_loss_iou: 0.2224 d1.loss_lmm_region: 0.1645 loss_lmm_image: 0.8908 2024/11/03 06:01:16 - mmengine - INFO - Iter(train) [ 60400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:50:34 time: 0.9617 data_time: 0.0179 memory: 20209 grad_norm: 29.8871 loss: 9.2573 loss_cls: 0.2937 loss_bbox: 0.1269 loss_iou: 0.2371 d0.loss_cls: 0.3241 d0.loss_bbox: 0.1377 d0.loss_iou: 0.2605 d1.loss_cls: 0.3049 d1.loss_bbox: 0.1365 d1.loss_iou: 0.2488 d2.loss_cls: 0.2971 d2.loss_bbox: 0.1302 d2.loss_iou: 0.2438 d3.loss_cls: 0.2960 d3.loss_bbox: 0.1271 d3.loss_iou: 0.2374 d4.loss_cls: 0.2954 d4.loss_bbox: 0.1271 d4.loss_iou: 0.2376 enc_loss_cls: 0.3383 enc_loss_bbox: 0.1548 enc_loss_iou: 0.2832 dn_loss_cls: 0.1039 dn_loss_bbox: 0.1677 dn_loss_iou: 0.2162 d0.dn_loss_cls: 0.1811 d0.dn_loss_bbox: 0.3258 d0.dn_loss_iou: 0.3680 d1.dn_loss_cls: 0.1318 d1.dn_loss_bbox: 0.2033 d1.dn_loss_iou: 0.2494 d2.dn_loss_cls: 0.1188 d2.dn_loss_bbox: 0.1749 d2.dn_loss_iou: 0.2237 d3.dn_loss_cls: 0.1084 d3.dn_loss_bbox: 0.1678 d3.dn_loss_iou: 0.2169 d4.dn_loss_cls: 0.1071 d4.dn_loss_bbox: 0.1676 d4.dn_loss_iou: 0.2161 d1.loss_lmm_region: 0.1585 loss_lmm_image: 0.8120 2024/11/03 06:02:53 - mmengine - INFO - Iter(train) [ 60500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:48:49 time: 0.9731 data_time: 0.0181 memory: 20808 grad_norm: 24.3638 loss: 9.7161 loss_cls: 0.2775 loss_bbox: 0.1504 loss_iou: 0.2721 d0.loss_cls: 0.3212 d0.loss_bbox: 0.1643 d0.loss_iou: 0.2913 d1.loss_cls: 0.3071 d1.loss_bbox: 0.1516 d1.loss_iou: 0.2723 d2.loss_cls: 0.2928 d2.loss_bbox: 0.1465 d2.loss_iou: 0.2686 d3.loss_cls: 0.2868 d3.loss_bbox: 0.1467 d3.loss_iou: 0.2691 d4.loss_cls: 0.2789 d4.loss_bbox: 0.1491 d4.loss_iou: 0.2711 enc_loss_cls: 0.3481 enc_loss_bbox: 0.1707 enc_loss_iou: 0.3043 dn_loss_cls: 0.0974 dn_loss_bbox: 0.1695 dn_loss_iou: 0.2350 d0.dn_loss_cls: 0.1892 d0.dn_loss_bbox: 0.3286 d0.dn_loss_iou: 0.3856 d1.dn_loss_cls: 0.1310 d1.dn_loss_bbox: 0.2047 d1.dn_loss_iou: 0.2693 d2.dn_loss_cls: 0.1121 d2.dn_loss_bbox: 0.1789 d2.dn_loss_iou: 0.2440 d3.dn_loss_cls: 0.1012 d3.dn_loss_bbox: 0.1709 d3.dn_loss_iou: 0.2357 d4.dn_loss_cls: 0.0978 d4.dn_loss_bbox: 0.1696 d4.dn_loss_iou: 0.2350 d1.loss_lmm_region: 0.1704 loss_lmm_image: 0.8500 2024/11/03 06:04:30 - mmengine - INFO - Iter(train) [ 60600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:47:06 time: 0.9717 data_time: 0.0179 memory: 21248 grad_norm: 21.5747 loss: 9.2147 loss_cls: 0.2798 loss_bbox: 0.1252 loss_iou: 0.2243 d0.loss_cls: 0.3145 d0.loss_bbox: 0.1393 d0.loss_iou: 0.2372 d1.loss_cls: 0.3059 d1.loss_bbox: 0.1259 d1.loss_iou: 0.2218 d2.loss_cls: 0.2967 d2.loss_bbox: 0.1208 d2.loss_iou: 0.2192 d3.loss_cls: 0.2910 d3.loss_bbox: 0.1230 d3.loss_iou: 0.2211 d4.loss_cls: 0.2831 d4.loss_bbox: 0.1249 d4.loss_iou: 0.2238 enc_loss_cls: 0.3269 enc_loss_bbox: 0.1580 enc_loss_iou: 0.2617 dn_loss_cls: 0.1091 dn_loss_bbox: 0.1727 dn_loss_iou: 0.2185 d0.dn_loss_cls: 0.1956 d0.dn_loss_bbox: 0.3298 d0.dn_loss_iou: 0.3686 d1.dn_loss_cls: 0.1417 d1.dn_loss_bbox: 0.2100 d1.dn_loss_iou: 0.2554 d2.dn_loss_cls: 0.1234 d2.dn_loss_bbox: 0.1823 d2.dn_loss_iou: 0.2279 d3.dn_loss_cls: 0.1150 d3.dn_loss_bbox: 0.1751 d3.dn_loss_iou: 0.2207 d4.dn_loss_cls: 0.1098 d4.dn_loss_bbox: 0.1727 d4.dn_loss_iou: 0.2184 d1.loss_lmm_region: 0.1585 loss_lmm_image: 0.8855 2024/11/03 06:06:07 - mmengine - INFO - Iter(train) [ 60700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:45:22 time: 0.9774 data_time: 0.0178 memory: 22226 grad_norm: 22.0642 loss: 10.4994 loss_cls: 0.3259 loss_bbox: 0.1729 loss_iou: 0.3085 d0.loss_cls: 0.3600 d0.loss_bbox: 0.1831 d0.loss_iou: 0.3230 d1.loss_cls: 0.3408 d1.loss_bbox: 0.1769 d1.loss_iou: 0.3136 d2.loss_cls: 0.3356 d2.loss_bbox: 0.1719 d2.loss_iou: 0.3075 d3.loss_cls: 0.3294 d3.loss_bbox: 0.1749 d3.loss_iou: 0.3082 d4.loss_cls: 0.3290 d4.loss_bbox: 0.1704 d4.loss_iou: 0.3079 enc_loss_cls: 0.3749 enc_loss_bbox: 0.1986 enc_loss_iou: 0.3507 dn_loss_cls: 0.1060 dn_loss_bbox: 0.1734 dn_loss_iou: 0.2312 d0.dn_loss_cls: 0.1892 d0.dn_loss_bbox: 0.3339 d0.dn_loss_iou: 0.3828 d1.dn_loss_cls: 0.1376 d1.dn_loss_bbox: 0.2069 d1.dn_loss_iou: 0.2645 d2.dn_loss_cls: 0.1224 d2.dn_loss_bbox: 0.1825 d2.dn_loss_iou: 0.2398 d3.dn_loss_cls: 0.1116 d3.dn_loss_bbox: 0.1748 d3.dn_loss_iou: 0.2327 d4.dn_loss_cls: 0.1074 d4.dn_loss_bbox: 0.1735 d4.dn_loss_iou: 0.2311 d1.loss_lmm_region: 0.1584 loss_lmm_image: 0.8763 2024/11/03 06:07:45 - mmengine - INFO - Iter(train) [ 60800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:43:39 time: 0.9713 data_time: 0.0179 memory: 21306 grad_norm: 26.4150 loss: 9.5513 loss_cls: 0.3152 loss_bbox: 0.1370 loss_iou: 0.2680 d0.loss_cls: 0.3540 d0.loss_bbox: 0.1504 d0.loss_iou: 0.2890 d1.loss_cls: 0.3358 d1.loss_bbox: 0.1408 d1.loss_iou: 0.2706 d2.loss_cls: 0.3287 d2.loss_bbox: 0.1373 d2.loss_iou: 0.2692 d3.loss_cls: 0.3205 d3.loss_bbox: 0.1383 d3.loss_iou: 0.2690 d4.loss_cls: 0.3125 d4.loss_bbox: 0.1385 d4.loss_iou: 0.2688 enc_loss_cls: 0.3654 enc_loss_bbox: 0.1654 enc_loss_iou: 0.3127 dn_loss_cls: 0.0942 dn_loss_bbox: 0.1514 dn_loss_iou: 0.2194 d0.dn_loss_cls: 0.1837 d0.dn_loss_bbox: 0.2842 d0.dn_loss_iou: 0.3610 d1.dn_loss_cls: 0.1300 d1.dn_loss_bbox: 0.1838 d1.dn_loss_iou: 0.2541 d2.dn_loss_cls: 0.1119 d2.dn_loss_bbox: 0.1600 d2.dn_loss_iou: 0.2282 d3.dn_loss_cls: 0.1004 d3.dn_loss_bbox: 0.1528 d3.dn_loss_iou: 0.2205 d4.dn_loss_cls: 0.0960 d4.dn_loss_bbox: 0.1513 d4.dn_loss_iou: 0.2192 d1.loss_lmm_region: 0.1399 loss_lmm_image: 0.8222 2024/11/03 06:09:22 - mmengine - INFO - Iter(train) [ 60900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:41:55 time: 0.9738 data_time: 0.0179 memory: 21135 grad_norm: 22.3617 loss: 10.2251 loss_cls: 0.3442 loss_bbox: 0.1500 loss_iou: 0.2964 d0.loss_cls: 0.3908 d0.loss_bbox: 0.1603 d0.loss_iou: 0.3171 d1.loss_cls: 0.3666 d1.loss_bbox: 0.1572 d1.loss_iou: 0.3047 d2.loss_cls: 0.3568 d2.loss_bbox: 0.1548 d2.loss_iou: 0.2997 d3.loss_cls: 0.3511 d3.loss_bbox: 0.1487 d3.loss_iou: 0.2953 d4.loss_cls: 0.3476 d4.loss_bbox: 0.1486 d4.loss_iou: 0.2965 enc_loss_cls: 0.4071 enc_loss_bbox: 0.1779 enc_loss_iou: 0.3421 dn_loss_cls: 0.1000 dn_loss_bbox: 0.1521 dn_loss_iou: 0.2341 d0.dn_loss_cls: 0.1843 d0.dn_loss_bbox: 0.2946 d0.dn_loss_iou: 0.3877 d1.dn_loss_cls: 0.1307 d1.dn_loss_bbox: 0.1831 d1.dn_loss_iou: 0.2695 d2.dn_loss_cls: 0.1145 d2.dn_loss_bbox: 0.1595 d2.dn_loss_iou: 0.2435 d3.dn_loss_cls: 0.1045 d3.dn_loss_bbox: 0.1528 d3.dn_loss_iou: 0.2353 d4.dn_loss_cls: 0.1004 d4.dn_loss_bbox: 0.1522 d4.dn_loss_iou: 0.2340 d1.loss_lmm_region: 0.1533 loss_lmm_image: 0.8256 2024/11/03 06:10:58 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 06:10:58 - mmengine - INFO - Iter(train) [ 61000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:40:10 time: 0.9659 data_time: 0.0178 memory: 20905 grad_norm: 20.4420 loss: 9.1170 loss_cls: 0.3082 loss_bbox: 0.1311 loss_iou: 0.2346 d0.loss_cls: 0.3494 d0.loss_bbox: 0.1369 d0.loss_iou: 0.2479 d1.loss_cls: 0.3235 d1.loss_bbox: 0.1303 d1.loss_iou: 0.2403 d2.loss_cls: 0.3158 d2.loss_bbox: 0.1291 d2.loss_iou: 0.2345 d3.loss_cls: 0.3149 d3.loss_bbox: 0.1271 d3.loss_iou: 0.2319 d4.loss_cls: 0.3085 d4.loss_bbox: 0.1301 d4.loss_iou: 0.2359 enc_loss_cls: 0.3595 enc_loss_bbox: 0.1556 enc_loss_iou: 0.2742 dn_loss_cls: 0.1018 dn_loss_bbox: 0.1495 dn_loss_iou: 0.1983 d0.dn_loss_cls: 0.1843 d0.dn_loss_bbox: 0.3027 d0.dn_loss_iou: 0.3463 d1.dn_loss_cls: 0.1328 d1.dn_loss_bbox: 0.1860 d1.dn_loss_iou: 0.2327 d2.dn_loss_cls: 0.1184 d2.dn_loss_bbox: 0.1571 d2.dn_loss_iou: 0.2059 d3.dn_loss_cls: 0.1083 d3.dn_loss_bbox: 0.1503 d3.dn_loss_iou: 0.1994 d4.dn_loss_cls: 0.1026 d4.dn_loss_bbox: 0.1496 d4.dn_loss_iou: 0.1983 d1.loss_lmm_region: 0.1301 loss_lmm_image: 0.8432 2024/11/03 06:12:35 - mmengine - INFO - Iter(train) [ 61100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:38:26 time: 0.9671 data_time: 0.0178 memory: 20677 grad_norm: 23.8562 loss: 9.2090 loss_cls: 0.2810 loss_bbox: 0.1317 loss_iou: 0.2743 d0.loss_cls: 0.3058 d0.loss_bbox: 0.1481 d0.loss_iou: 0.2920 d1.loss_cls: 0.2992 d1.loss_bbox: 0.1304 d1.loss_iou: 0.2766 d2.loss_cls: 0.2942 d2.loss_bbox: 0.1274 d2.loss_iou: 0.2696 d3.loss_cls: 0.2888 d3.loss_bbox: 0.1263 d3.loss_iou: 0.2692 d4.loss_cls: 0.2862 d4.loss_bbox: 0.1280 d4.loss_iou: 0.2705 enc_loss_cls: 0.3317 enc_loss_bbox: 0.1586 enc_loss_iou: 0.3122 dn_loss_cls: 0.0947 dn_loss_bbox: 0.1401 dn_loss_iou: 0.2301 d0.dn_loss_cls: 0.1690 d0.dn_loss_bbox: 0.2725 d0.dn_loss_iou: 0.3798 d1.dn_loss_cls: 0.1224 d1.dn_loss_bbox: 0.1644 d1.dn_loss_iou: 0.2606 d2.dn_loss_cls: 0.1059 d2.dn_loss_bbox: 0.1460 d2.dn_loss_iou: 0.2373 d3.dn_loss_cls: 0.0998 d3.dn_loss_bbox: 0.1408 d3.dn_loss_iou: 0.2310 d4.dn_loss_cls: 0.0950 d4.dn_loss_bbox: 0.1400 d4.dn_loss_iou: 0.2299 d1.loss_lmm_region: 0.1236 loss_lmm_image: 0.8247 2024/11/03 06:14:12 - mmengine - INFO - Iter(train) [ 61200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:36:42 time: 0.9656 data_time: 0.0178 memory: 21464 grad_norm: 29.5513 loss: 11.1092 loss_cls: 0.3674 loss_bbox: 0.1851 loss_iou: 0.2955 d0.loss_cls: 0.4045 d0.loss_bbox: 0.1975 d0.loss_iou: 0.3132 d1.loss_cls: 0.3843 d1.loss_bbox: 0.1914 d1.loss_iou: 0.3023 d2.loss_cls: 0.3797 d2.loss_bbox: 0.1843 d2.loss_iou: 0.2974 d3.loss_cls: 0.3733 d3.loss_bbox: 0.1842 d3.loss_iou: 0.2964 d4.loss_cls: 0.3698 d4.loss_bbox: 0.1825 d4.loss_iou: 0.2938 enc_loss_cls: 0.4214 enc_loss_bbox: 0.2201 enc_loss_iou: 0.3472 dn_loss_cls: 0.1147 dn_loss_bbox: 0.1987 dn_loss_iou: 0.2384 d0.dn_loss_cls: 0.2011 d0.dn_loss_bbox: 0.3800 d0.dn_loss_iou: 0.3954 d1.dn_loss_cls: 0.1462 d1.dn_loss_bbox: 0.2371 d1.dn_loss_iou: 0.2726 d2.dn_loss_cls: 0.1300 d2.dn_loss_bbox: 0.2068 d2.dn_loss_iou: 0.2461 d3.dn_loss_cls: 0.1206 d3.dn_loss_bbox: 0.2001 d3.dn_loss_iou: 0.2397 d4.dn_loss_cls: 0.1153 d4.dn_loss_bbox: 0.1987 d4.dn_loss_iou: 0.2383 d1.loss_lmm_region: 0.1693 loss_lmm_image: 0.8688 2024/11/03 06:15:49 - mmengine - INFO - Iter(train) [ 61300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:34:58 time: 0.9685 data_time: 0.0178 memory: 20777 grad_norm: 22.9036 loss: 9.3396 loss_cls: 0.2886 loss_bbox: 0.1282 loss_iou: 0.2469 d0.loss_cls: 0.3218 d0.loss_bbox: 0.1436 d0.loss_iou: 0.2675 d1.loss_cls: 0.3047 d1.loss_bbox: 0.1366 d1.loss_iou: 0.2540 d2.loss_cls: 0.3006 d2.loss_bbox: 0.1300 d2.loss_iou: 0.2498 d3.loss_cls: 0.2953 d3.loss_bbox: 0.1290 d3.loss_iou: 0.2487 d4.loss_cls: 0.2911 d4.loss_bbox: 0.1282 d4.loss_iou: 0.2473 enc_loss_cls: 0.3408 enc_loss_bbox: 0.1552 enc_loss_iou: 0.2854 dn_loss_cls: 0.0840 dn_loss_bbox: 0.1744 dn_loss_iou: 0.2281 d0.dn_loss_cls: 0.1744 d0.dn_loss_bbox: 0.3314 d0.dn_loss_iou: 0.3797 d1.dn_loss_cls: 0.1093 d1.dn_loss_bbox: 0.2046 d1.dn_loss_iou: 0.2617 d2.dn_loss_cls: 0.0935 d2.dn_loss_bbox: 0.1795 d2.dn_loss_iou: 0.2359 d3.dn_loss_cls: 0.0851 d3.dn_loss_bbox: 0.1746 d3.dn_loss_iou: 0.2287 d4.dn_loss_cls: 0.0840 d4.dn_loss_bbox: 0.1743 d4.dn_loss_iou: 0.2279 d1.loss_lmm_region: 0.1715 loss_lmm_image: 0.8438 2024/11/03 06:17:26 - mmengine - INFO - Iter(train) [ 61400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:33:15 time: 0.9762 data_time: 0.0178 memory: 21094 grad_norm: 23.3339 loss: 9.4728 loss_cls: 0.2771 loss_bbox: 0.1446 loss_iou: 0.2394 d0.loss_cls: 0.2986 d0.loss_bbox: 0.1683 d0.loss_iou: 0.2620 d1.loss_cls: 0.2834 d1.loss_bbox: 0.1576 d1.loss_iou: 0.2509 d2.loss_cls: 0.2836 d2.loss_bbox: 0.1459 d2.loss_iou: 0.2401 d3.loss_cls: 0.2750 d3.loss_bbox: 0.1491 d3.loss_iou: 0.2425 d4.loss_cls: 0.2777 d4.loss_bbox: 0.1454 d4.loss_iou: 0.2396 enc_loss_cls: 0.3228 enc_loss_bbox: 0.1818 enc_loss_iou: 0.2791 dn_loss_cls: 0.0808 dn_loss_bbox: 0.1886 dn_loss_iou: 0.2287 d0.dn_loss_cls: 0.1792 d0.dn_loss_bbox: 0.3780 d0.dn_loss_iou: 0.3919 d1.dn_loss_cls: 0.1191 d1.dn_loss_bbox: 0.2324 d1.dn_loss_iou: 0.2662 d2.dn_loss_cls: 0.0982 d2.dn_loss_bbox: 0.2013 d2.dn_loss_iou: 0.2401 d3.dn_loss_cls: 0.0860 d3.dn_loss_bbox: 0.1902 d3.dn_loss_iou: 0.2305 d4.dn_loss_cls: 0.0817 d4.dn_loss_bbox: 0.1885 d4.dn_loss_iou: 0.2286 d1.loss_lmm_region: 0.1472 loss_lmm_image: 0.8510 2024/11/03 06:19:03 - mmengine - INFO - Iter(train) [ 61500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:31:31 time: 0.9669 data_time: 0.0178 memory: 20015 grad_norm: 20.9675 loss: 10.6252 loss_cls: 0.3288 loss_bbox: 0.1758 loss_iou: 0.2908 d0.loss_cls: 0.3600 d0.loss_bbox: 0.1984 d0.loss_iou: 0.3105 d1.loss_cls: 0.3456 d1.loss_bbox: 0.1861 d1.loss_iou: 0.3022 d2.loss_cls: 0.3377 d2.loss_bbox: 0.1806 d2.loss_iou: 0.2939 d3.loss_cls: 0.3330 d3.loss_bbox: 0.1803 d3.loss_iou: 0.2914 d4.loss_cls: 0.3308 d4.loss_bbox: 0.1765 d4.loss_iou: 0.2910 enc_loss_cls: 0.3893 enc_loss_bbox: 0.2141 enc_loss_iou: 0.3307 dn_loss_cls: 0.0945 dn_loss_bbox: 0.2090 dn_loss_iou: 0.2378 d0.dn_loss_cls: 0.1858 d0.dn_loss_bbox: 0.3758 d0.dn_loss_iou: 0.3912 d1.dn_loss_cls: 0.1277 d1.dn_loss_bbox: 0.2492 d1.dn_loss_iou: 0.2753 d2.dn_loss_cls: 0.1054 d2.dn_loss_bbox: 0.2184 d2.dn_loss_iou: 0.2478 d3.dn_loss_cls: 0.0994 d3.dn_loss_bbox: 0.2101 d3.dn_loss_iou: 0.2392 d4.dn_loss_cls: 0.0942 d4.dn_loss_bbox: 0.2089 d4.dn_loss_iou: 0.2378 d1.loss_lmm_region: 0.1584 loss_lmm_image: 0.8116 2024/11/03 06:20:40 - mmengine - INFO - Iter(train) [ 61600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:29:47 time: 0.9628 data_time: 0.0178 memory: 21207 grad_norm: 25.1497 loss: 10.2809 loss_cls: 0.3132 loss_bbox: 0.1566 loss_iou: 0.2984 d0.loss_cls: 0.3542 d0.loss_bbox: 0.1740 d0.loss_iou: 0.3218 d1.loss_cls: 0.3342 d1.loss_bbox: 0.1605 d1.loss_iou: 0.3048 d2.loss_cls: 0.3281 d2.loss_bbox: 0.1564 d2.loss_iou: 0.2973 d3.loss_cls: 0.3218 d3.loss_bbox: 0.1566 d3.loss_iou: 0.2978 d4.loss_cls: 0.3175 d4.loss_bbox: 0.1549 d4.loss_iou: 0.2951 enc_loss_cls: 0.3644 enc_loss_bbox: 0.1834 enc_loss_iou: 0.3434 dn_loss_cls: 0.0982 dn_loss_bbox: 0.1875 dn_loss_iou: 0.2415 d0.dn_loss_cls: 0.1836 d0.dn_loss_bbox: 0.3342 d0.dn_loss_iou: 0.3921 d1.dn_loss_cls: 0.1247 d1.dn_loss_bbox: 0.2168 d1.dn_loss_iou: 0.2753 d2.dn_loss_cls: 0.1086 d2.dn_loss_bbox: 0.1948 d2.dn_loss_iou: 0.2502 d3.dn_loss_cls: 0.1004 d3.dn_loss_bbox: 0.1888 d3.dn_loss_iou: 0.2430 d4.dn_loss_cls: 0.0987 d4.dn_loss_bbox: 0.1876 d4.dn_loss_iou: 0.2415 d1.loss_lmm_region: 0.1426 loss_lmm_image: 0.8363 2024/11/03 06:22:17 - mmengine - INFO - Iter(train) [ 61700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:28:03 time: 0.9665 data_time: 0.0178 memory: 21102 grad_norm: 23.0817 loss: 10.2712 loss_cls: 0.3398 loss_bbox: 0.1463 loss_iou: 0.2943 d0.loss_cls: 0.3972 d0.loss_bbox: 0.1586 d0.loss_iou: 0.3114 d1.loss_cls: 0.3725 d1.loss_bbox: 0.1505 d1.loss_iou: 0.3004 d2.loss_cls: 0.3566 d2.loss_bbox: 0.1484 d2.loss_iou: 0.2942 d3.loss_cls: 0.3497 d3.loss_bbox: 0.1457 d3.loss_iou: 0.2930 d4.loss_cls: 0.3425 d4.loss_bbox: 0.1453 d4.loss_iou: 0.2926 enc_loss_cls: 0.4158 enc_loss_bbox: 0.1710 enc_loss_iou: 0.3311 dn_loss_cls: 0.1029 dn_loss_bbox: 0.1727 dn_loss_iou: 0.2286 d0.dn_loss_cls: 0.1908 d0.dn_loss_bbox: 0.3249 d0.dn_loss_iou: 0.3788 d1.dn_loss_cls: 0.1359 d1.dn_loss_bbox: 0.2066 d1.dn_loss_iou: 0.2611 d2.dn_loss_cls: 0.1157 d2.dn_loss_bbox: 0.1836 d2.dn_loss_iou: 0.2386 d3.dn_loss_cls: 0.1072 d3.dn_loss_bbox: 0.1748 d3.dn_loss_iou: 0.2306 d4.dn_loss_cls: 0.1021 d4.dn_loss_bbox: 0.1728 d4.dn_loss_iou: 0.2287 d1.loss_lmm_region: 0.1476 loss_lmm_image: 0.8102 2024/11/03 06:23:54 - mmengine - INFO - Iter(train) [ 61800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:26:19 time: 0.9632 data_time: 0.0177 memory: 20240 grad_norm: 20.7230 loss: 9.1199 loss_cls: 0.2613 loss_bbox: 0.1361 loss_iou: 0.2193 d0.loss_cls: 0.3011 d0.loss_bbox: 0.1511 d0.loss_iou: 0.2391 d1.loss_cls: 0.2819 d1.loss_bbox: 0.1381 d1.loss_iou: 0.2244 d2.loss_cls: 0.2772 d2.loss_bbox: 0.1358 d2.loss_iou: 0.2182 d3.loss_cls: 0.2670 d3.loss_bbox: 0.1378 d3.loss_iou: 0.2195 d4.loss_cls: 0.2625 d4.loss_bbox: 0.1369 d4.loss_iou: 0.2189 enc_loss_cls: 0.3107 enc_loss_bbox: 0.1691 enc_loss_iou: 0.2647 dn_loss_cls: 0.0928 dn_loss_bbox: 0.1887 dn_loss_iou: 0.2273 d0.dn_loss_cls: 0.1705 d0.dn_loss_bbox: 0.3730 d0.dn_loss_iou: 0.3854 d1.dn_loss_cls: 0.1211 d1.dn_loss_bbox: 0.2306 d1.dn_loss_iou: 0.2637 d2.dn_loss_cls: 0.1059 d2.dn_loss_bbox: 0.2001 d2.dn_loss_iou: 0.2373 d3.dn_loss_cls: 0.1001 d3.dn_loss_bbox: 0.1906 d3.dn_loss_iou: 0.2284 d4.dn_loss_cls: 0.0942 d4.dn_loss_bbox: 0.1887 d4.dn_loss_iou: 0.2273 d1.loss_lmm_region: 0.1412 loss_lmm_image: 0.7824 2024/11/03 06:25:30 - mmengine - INFO - Iter(train) [ 61900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:24:35 time: 0.9658 data_time: 0.0178 memory: 20706 grad_norm: 21.6464 loss: 9.6989 loss_cls: 0.3233 loss_bbox: 0.1448 loss_iou: 0.2776 d0.loss_cls: 0.3569 d0.loss_bbox: 0.1613 d0.loss_iou: 0.3011 d1.loss_cls: 0.3399 d1.loss_bbox: 0.1470 d1.loss_iou: 0.2830 d2.loss_cls: 0.3300 d2.loss_bbox: 0.1446 d2.loss_iou: 0.2786 d3.loss_cls: 0.3264 d3.loss_bbox: 0.1470 d3.loss_iou: 0.2792 d4.loss_cls: 0.3230 d4.loss_bbox: 0.1465 d4.loss_iou: 0.2767 enc_loss_cls: 0.3765 enc_loss_bbox: 0.1721 enc_loss_iou: 0.3211 dn_loss_cls: 0.0857 dn_loss_bbox: 0.1511 dn_loss_iou: 0.2115 d0.dn_loss_cls: 0.1747 d0.dn_loss_bbox: 0.2992 d0.dn_loss_iou: 0.3547 d1.dn_loss_cls: 0.1182 d1.dn_loss_bbox: 0.1818 d1.dn_loss_iou: 0.2420 d2.dn_loss_cls: 0.1026 d2.dn_loss_bbox: 0.1589 d2.dn_loss_iou: 0.2196 d3.dn_loss_cls: 0.0916 d3.dn_loss_bbox: 0.1518 d3.dn_loss_iou: 0.2125 d4.dn_loss_cls: 0.0866 d4.dn_loss_bbox: 0.1512 d4.dn_loss_iou: 0.2113 d1.loss_lmm_region: 0.1772 loss_lmm_image: 0.8599 2024/11/03 06:27:08 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 06:27:08 - mmengine - INFO - Iter(train) [ 62000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:22:51 time: 0.9767 data_time: 0.0178 memory: 20344 grad_norm: 22.9352 loss: 8.1363 loss_cls: 0.2452 loss_bbox: 0.0995 loss_iou: 0.1814 d0.loss_cls: 0.2715 d0.loss_bbox: 0.1074 d0.loss_iou: 0.1955 d1.loss_cls: 0.2560 d1.loss_bbox: 0.1030 d1.loss_iou: 0.1872 d2.loss_cls: 0.2540 d2.loss_bbox: 0.0992 d2.loss_iou: 0.1817 d3.loss_cls: 0.2494 d3.loss_bbox: 0.0990 d3.loss_iou: 0.1821 d4.loss_cls: 0.2425 d4.loss_bbox: 0.1013 d4.loss_iou: 0.1836 enc_loss_cls: 0.2887 enc_loss_bbox: 0.1253 enc_loss_iou: 0.2159 dn_loss_cls: 0.1445 dn_loss_bbox: 0.1453 dn_loss_iou: 0.1810 d0.dn_loss_cls: 0.2243 d0.dn_loss_bbox: 0.2828 d0.dn_loss_iou: 0.3260 d1.dn_loss_cls: 0.1671 d1.dn_loss_bbox: 0.1741 d1.dn_loss_iou: 0.2154 d2.dn_loss_cls: 0.1514 d2.dn_loss_bbox: 0.1519 d2.dn_loss_iou: 0.1908 d3.dn_loss_cls: 0.1431 d3.dn_loss_bbox: 0.1460 d3.dn_loss_iou: 0.1827 d4.dn_loss_cls: 0.1439 d4.dn_loss_bbox: 0.1454 d4.dn_loss_iou: 0.1809 d1.loss_lmm_region: 0.1410 loss_lmm_image: 0.8289 2024/11/03 06:28:45 - mmengine - INFO - Iter(train) [ 62100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:21:08 time: 0.9786 data_time: 0.0179 memory: 20887 grad_norm: 21.3539 loss: 9.0396 loss_cls: 0.2616 loss_bbox: 0.1376 loss_iou: 0.2340 d0.loss_cls: 0.2928 d0.loss_bbox: 0.1522 d0.loss_iou: 0.2536 d1.loss_cls: 0.2794 d1.loss_bbox: 0.1378 d1.loss_iou: 0.2410 d2.loss_cls: 0.2712 d2.loss_bbox: 0.1359 d2.loss_iou: 0.2382 d3.loss_cls: 0.2649 d3.loss_bbox: 0.1354 d3.loss_iou: 0.2355 d4.loss_cls: 0.2675 d4.loss_bbox: 0.1340 d4.loss_iou: 0.2328 enc_loss_cls: 0.3059 enc_loss_bbox: 0.1704 enc_loss_iou: 0.2785 dn_loss_cls: 0.0856 dn_loss_bbox: 0.1767 dn_loss_iou: 0.2183 d0.dn_loss_cls: 0.1545 d0.dn_loss_bbox: 0.3413 d0.dn_loss_iou: 0.3654 d1.dn_loss_cls: 0.1075 d1.dn_loss_bbox: 0.2145 d1.dn_loss_iou: 0.2520 d2.dn_loss_cls: 0.0952 d2.dn_loss_bbox: 0.1879 d2.dn_loss_iou: 0.2275 d3.dn_loss_cls: 0.0884 d3.dn_loss_bbox: 0.1778 d3.dn_loss_iou: 0.2202 d4.dn_loss_cls: 0.0865 d4.dn_loss_bbox: 0.1769 d4.dn_loss_iou: 0.2185 d1.loss_lmm_region: 0.1384 loss_lmm_image: 0.8463 2024/11/03 06:30:22 - mmengine - INFO - Iter(train) [ 62200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:19:24 time: 0.9653 data_time: 0.0179 memory: 19933 grad_norm: 21.6858 loss: 9.1252 loss_cls: 0.2901 loss_bbox: 0.1277 loss_iou: 0.2314 d0.loss_cls: 0.3221 d0.loss_bbox: 0.1436 d0.loss_iou: 0.2480 d1.loss_cls: 0.3022 d1.loss_bbox: 0.1368 d1.loss_iou: 0.2390 d2.loss_cls: 0.3020 d2.loss_bbox: 0.1278 d2.loss_iou: 0.2312 d3.loss_cls: 0.2963 d3.loss_bbox: 0.1285 d3.loss_iou: 0.2314 d4.loss_cls: 0.2907 d4.loss_bbox: 0.1278 d4.loss_iou: 0.2308 enc_loss_cls: 0.3352 enc_loss_bbox: 0.1562 enc_loss_iou: 0.2669 dn_loss_cls: 0.0886 dn_loss_bbox: 0.1733 dn_loss_iou: 0.2114 d0.dn_loss_cls: 0.1763 d0.dn_loss_bbox: 0.3367 d0.dn_loss_iou: 0.3572 d1.dn_loss_cls: 0.1219 d1.dn_loss_bbox: 0.2088 d1.dn_loss_iou: 0.2443 d2.dn_loss_cls: 0.1030 d2.dn_loss_bbox: 0.1839 d2.dn_loss_iou: 0.2205 d3.dn_loss_cls: 0.0948 d3.dn_loss_bbox: 0.1757 d3.dn_loss_iou: 0.2130 d4.dn_loss_cls: 0.0898 d4.dn_loss_bbox: 0.1732 d4.dn_loss_iou: 0.2115 d1.loss_lmm_region: 0.1566 loss_lmm_image: 0.8190 2024/11/03 06:31:59 - mmengine - INFO - Iter(train) [ 62300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:17:41 time: 0.9650 data_time: 0.0179 memory: 21131 grad_norm: 21.7759 loss: 9.3804 loss_cls: 0.2958 loss_bbox: 0.1447 loss_iou: 0.2847 d0.loss_cls: 0.3259 d0.loss_bbox: 0.1575 d0.loss_iou: 0.3099 d1.loss_cls: 0.3105 d1.loss_bbox: 0.1486 d1.loss_iou: 0.2922 d2.loss_cls: 0.2997 d2.loss_bbox: 0.1448 d2.loss_iou: 0.2891 d3.loss_cls: 0.2979 d3.loss_bbox: 0.1441 d3.loss_iou: 0.2861 d4.loss_cls: 0.2960 d4.loss_bbox: 0.1454 d4.loss_iou: 0.2847 enc_loss_cls: 0.3418 enc_loss_bbox: 0.1747 enc_loss_iou: 0.3309 dn_loss_cls: 0.0882 dn_loss_bbox: 0.1418 dn_loss_iou: 0.2093 d0.dn_loss_cls: 0.1626 d0.dn_loss_bbox: 0.2618 d0.dn_loss_iou: 0.3420 d1.dn_loss_cls: 0.1157 d1.dn_loss_bbox: 0.1650 d1.dn_loss_iou: 0.2381 d2.dn_loss_cls: 0.1021 d2.dn_loss_bbox: 0.1477 d2.dn_loss_iou: 0.2172 d3.dn_loss_cls: 0.0936 d3.dn_loss_bbox: 0.1427 d3.dn_loss_iou: 0.2106 d4.dn_loss_cls: 0.0893 d4.dn_loss_bbox: 0.1418 d4.dn_loss_iou: 0.2094 d1.loss_lmm_region: 0.1521 loss_lmm_image: 0.8444 2024/11/03 06:33:35 - mmengine - INFO - Iter(train) [ 62400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:15:57 time: 0.9631 data_time: 0.0178 memory: 20877 grad_norm: 25.5583 loss: 10.2971 loss_cls: 0.3378 loss_bbox: 0.1502 loss_iou: 0.3207 d0.loss_cls: 0.3831 d0.loss_bbox: 0.1625 d0.loss_iou: 0.3334 d1.loss_cls: 0.3627 d1.loss_bbox: 0.1536 d1.loss_iou: 0.3249 d2.loss_cls: 0.3519 d2.loss_bbox: 0.1482 d2.loss_iou: 0.3177 d3.loss_cls: 0.3415 d3.loss_bbox: 0.1495 d3.loss_iou: 0.3196 d4.loss_cls: 0.3386 d4.loss_bbox: 0.1500 d4.loss_iou: 0.3203 enc_loss_cls: 0.3979 enc_loss_bbox: 0.1840 enc_loss_iou: 0.3667 dn_loss_cls: 0.0916 dn_loss_bbox: 0.1541 dn_loss_iou: 0.2262 d0.dn_loss_cls: 0.1814 d0.dn_loss_bbox: 0.3086 d0.dn_loss_iou: 0.3842 d1.dn_loss_cls: 0.1272 d1.dn_loss_bbox: 0.1907 d1.dn_loss_iou: 0.2642 d2.dn_loss_cls: 0.1141 d2.dn_loss_bbox: 0.1637 d2.dn_loss_iou: 0.2369 d3.dn_loss_cls: 0.0995 d3.dn_loss_bbox: 0.1547 d3.dn_loss_iou: 0.2278 d4.dn_loss_cls: 0.0933 d4.dn_loss_bbox: 0.1542 d4.dn_loss_iou: 0.2261 d1.loss_lmm_region: 0.1539 loss_lmm_image: 0.8302 2024/11/03 06:35:13 - mmengine - INFO - Iter(train) [ 62500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:14:14 time: 0.9772 data_time: 0.0179 memory: 21284 grad_norm: 23.0293 loss: 9.8045 loss_cls: 0.3030 loss_bbox: 0.1539 loss_iou: 0.2982 d0.loss_cls: 0.3301 d0.loss_bbox: 0.1749 d0.loss_iou: 0.3185 d1.loss_cls: 0.3184 d1.loss_bbox: 0.1613 d1.loss_iou: 0.3055 d2.loss_cls: 0.3125 d2.loss_bbox: 0.1541 d2.loss_iou: 0.2968 d3.loss_cls: 0.3047 d3.loss_bbox: 0.1543 d3.loss_iou: 0.2985 d4.loss_cls: 0.3021 d4.loss_bbox: 0.1552 d4.loss_iou: 0.2994 enc_loss_cls: 0.3425 enc_loss_bbox: 0.1837 enc_loss_iou: 0.3399 dn_loss_cls: 0.0890 dn_loss_bbox: 0.1601 dn_loss_iou: 0.2290 d0.dn_loss_cls: 0.1707 d0.dn_loss_bbox: 0.2941 d0.dn_loss_iou: 0.3778 d1.dn_loss_cls: 0.1192 d1.dn_loss_bbox: 0.1852 d1.dn_loss_iou: 0.2610 d2.dn_loss_cls: 0.1018 d2.dn_loss_bbox: 0.1653 d2.dn_loss_iou: 0.2365 d3.dn_loss_cls: 0.0938 d3.dn_loss_bbox: 0.1612 d3.dn_loss_iou: 0.2302 d4.dn_loss_cls: 0.0887 d4.dn_loss_bbox: 0.1600 d4.dn_loss_iou: 0.2289 d1.loss_lmm_region: 0.1284 loss_lmm_image: 0.8162 2024/11/03 06:36:51 - mmengine - INFO - Iter(train) [ 62600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:12:32 time: 0.9711 data_time: 0.0178 memory: 21112 grad_norm: 24.5059 loss: 10.7655 loss_cls: 0.3304 loss_bbox: 0.2056 loss_iou: 0.3085 d0.loss_cls: 0.3683 d0.loss_bbox: 0.2222 d0.loss_iou: 0.3285 d1.loss_cls: 0.3504 d1.loss_bbox: 0.2106 d1.loss_iou: 0.3179 d2.loss_cls: 0.3434 d2.loss_bbox: 0.2078 d2.loss_iou: 0.3131 d3.loss_cls: 0.3369 d3.loss_bbox: 0.2045 d3.loss_iou: 0.3092 d4.loss_cls: 0.3352 d4.loss_bbox: 0.2038 d4.loss_iou: 0.3083 enc_loss_cls: 0.3928 enc_loss_bbox: 0.2290 enc_loss_iou: 0.3432 dn_loss_cls: 0.0919 dn_loss_bbox: 0.1804 dn_loss_iou: 0.2433 d0.dn_loss_cls: 0.1838 d0.dn_loss_bbox: 0.3332 d0.dn_loss_iou: 0.3935 d1.dn_loss_cls: 0.1256 d1.dn_loss_bbox: 0.2108 d1.dn_loss_iou: 0.2748 d2.dn_loss_cls: 0.1058 d2.dn_loss_bbox: 0.1897 d2.dn_loss_iou: 0.2517 d3.dn_loss_cls: 0.1005 d3.dn_loss_bbox: 0.1804 d3.dn_loss_iou: 0.2439 d4.dn_loss_cls: 0.0903 d4.dn_loss_bbox: 0.1803 d4.dn_loss_iou: 0.2431 d1.loss_lmm_region: 0.1540 loss_lmm_image: 0.8191 2024/11/03 06:38:28 - mmengine - INFO - Iter(train) [ 62700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:10:49 time: 0.9676 data_time: 0.0179 memory: 21392 grad_norm: 22.6678 loss: 9.1456 loss_cls: 0.2951 loss_bbox: 0.1289 loss_iou: 0.2613 d0.loss_cls: 0.3250 d0.loss_bbox: 0.1487 d0.loss_iou: 0.2841 d1.loss_cls: 0.3108 d1.loss_bbox: 0.1365 d1.loss_iou: 0.2715 d2.loss_cls: 0.3054 d2.loss_bbox: 0.1304 d2.loss_iou: 0.2644 d3.loss_cls: 0.3004 d3.loss_bbox: 0.1302 d3.loss_iou: 0.2613 d4.loss_cls: 0.2963 d4.loss_bbox: 0.1285 d4.loss_iou: 0.2603 enc_loss_cls: 0.3473 enc_loss_bbox: 0.1614 enc_loss_iou: 0.3066 dn_loss_cls: 0.0758 dn_loss_bbox: 0.1456 dn_loss_iou: 0.2155 d0.dn_loss_cls: 0.1667 d0.dn_loss_bbox: 0.2766 d0.dn_loss_iou: 0.3565 d1.dn_loss_cls: 0.1075 d1.dn_loss_bbox: 0.1752 d1.dn_loss_iou: 0.2458 d2.dn_loss_cls: 0.0905 d2.dn_loss_bbox: 0.1544 d2.dn_loss_iou: 0.2243 d3.dn_loss_cls: 0.0827 d3.dn_loss_bbox: 0.1473 d3.dn_loss_iou: 0.2166 d4.dn_loss_cls: 0.0785 d4.dn_loss_bbox: 0.1456 d4.dn_loss_iou: 0.2155 d1.loss_lmm_region: 0.1477 loss_lmm_image: 0.8230 2024/11/03 06:40:06 - mmengine - INFO - Iter(train) [ 62800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:09:07 time: 0.9778 data_time: 0.0179 memory: 20377 grad_norm: 26.2626 loss: 8.4539 loss_cls: 0.2761 loss_bbox: 0.1087 loss_iou: 0.2097 d0.loss_cls: 0.3038 d0.loss_bbox: 0.1222 d0.loss_iou: 0.2275 d1.loss_cls: 0.2919 d1.loss_bbox: 0.1113 d1.loss_iou: 0.2166 d2.loss_cls: 0.2835 d2.loss_bbox: 0.1080 d2.loss_iou: 0.2096 d3.loss_cls: 0.2773 d3.loss_bbox: 0.1096 d3.loss_iou: 0.2107 d4.loss_cls: 0.2767 d4.loss_bbox: 0.1091 d4.loss_iou: 0.2095 enc_loss_cls: 0.3227 enc_loss_bbox: 0.1366 enc_loss_iou: 0.2495 dn_loss_cls: 0.0779 dn_loss_bbox: 0.1517 dn_loss_iou: 0.2026 d0.dn_loss_cls: 0.1621 d0.dn_loss_bbox: 0.2849 d0.dn_loss_iou: 0.3385 d1.dn_loss_cls: 0.1073 d1.dn_loss_bbox: 0.1789 d1.dn_loss_iou: 0.2321 d2.dn_loss_cls: 0.0909 d2.dn_loss_bbox: 0.1593 d2.dn_loss_iou: 0.2102 d3.dn_loss_cls: 0.0828 d3.dn_loss_bbox: 0.1528 d3.dn_loss_iou: 0.2038 d4.dn_loss_cls: 0.0788 d4.dn_loss_bbox: 0.1516 d4.dn_loss_iou: 0.2023 d1.loss_lmm_region: 0.1418 loss_lmm_image: 0.8729 2024/11/03 06:41:43 - mmengine - INFO - Iter(train) [ 62900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:07:23 time: 0.9665 data_time: 0.0178 memory: 20859 grad_norm: 22.5652 loss: 9.7345 loss_cls: 0.3219 loss_bbox: 0.1281 loss_iou: 0.2599 d0.loss_cls: 0.3576 d0.loss_bbox: 0.1438 d0.loss_iou: 0.2781 d1.loss_cls: 0.3368 d1.loss_bbox: 0.1342 d1.loss_iou: 0.2679 d2.loss_cls: 0.3369 d2.loss_bbox: 0.1265 d2.loss_iou: 0.2585 d3.loss_cls: 0.3299 d3.loss_bbox: 0.1278 d3.loss_iou: 0.2607 d4.loss_cls: 0.3252 d4.loss_bbox: 0.1270 d4.loss_iou: 0.2596 enc_loss_cls: 0.3647 enc_loss_bbox: 0.1565 enc_loss_iou: 0.2991 dn_loss_cls: 0.0911 dn_loss_bbox: 0.1675 dn_loss_iou: 0.2397 d0.dn_loss_cls: 0.1768 d0.dn_loss_bbox: 0.3282 d0.dn_loss_iou: 0.3970 d1.dn_loss_cls: 0.1229 d1.dn_loss_bbox: 0.2022 d1.dn_loss_iou: 0.2746 d2.dn_loss_cls: 0.1063 d2.dn_loss_bbox: 0.1768 d2.dn_loss_iou: 0.2499 d3.dn_loss_cls: 0.0970 d3.dn_loss_bbox: 0.1693 d3.dn_loss_iou: 0.2416 d4.dn_loss_cls: 0.0915 d4.dn_loss_bbox: 0.1674 d4.dn_loss_iou: 0.2395 d1.loss_lmm_region: 0.1513 loss_lmm_image: 0.8432 2024/11/03 06:43:20 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 06:43:20 - mmengine - INFO - Iter(train) [ 63000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:05:39 time: 0.9681 data_time: 0.0179 memory: 21148 grad_norm: 26.4738 loss: 10.4918 loss_cls: 0.3315 loss_bbox: 0.1665 loss_iou: 0.3099 d0.loss_cls: 0.3667 d0.loss_bbox: 0.1927 d0.loss_iou: 0.3348 d1.loss_cls: 0.3499 d1.loss_bbox: 0.1770 d1.loss_iou: 0.3181 d2.loss_cls: 0.3495 d2.loss_bbox: 0.1640 d2.loss_iou: 0.3060 d3.loss_cls: 0.3384 d3.loss_bbox: 0.1648 d3.loss_iou: 0.3068 d4.loss_cls: 0.3331 d4.loss_bbox: 0.1661 d4.loss_iou: 0.3097 enc_loss_cls: 0.3899 enc_loss_bbox: 0.2058 enc_loss_iou: 0.3549 dn_loss_cls: 0.0808 dn_loss_bbox: 0.1863 dn_loss_iou: 0.2408 d0.dn_loss_cls: 0.1660 d0.dn_loss_bbox: 0.3337 d0.dn_loss_iou: 0.3919 d1.dn_loss_cls: 0.1123 d1.dn_loss_bbox: 0.2198 d1.dn_loss_iou: 0.2741 d2.dn_loss_cls: 0.0982 d2.dn_loss_bbox: 0.1928 d2.dn_loss_iou: 0.2482 d3.dn_loss_cls: 0.0871 d3.dn_loss_bbox: 0.1872 d3.dn_loss_iou: 0.2421 d4.dn_loss_cls: 0.0828 d4.dn_loss_bbox: 0.1863 d4.dn_loss_iou: 0.2407 d1.loss_lmm_region: 0.1489 loss_lmm_image: 0.8356 2024/11/03 06:44:57 - mmengine - INFO - Iter(train) [ 63100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:03:56 time: 0.9767 data_time: 0.0178 memory: 20341 grad_norm: 22.2183 loss: 11.0247 loss_cls: 0.3375 loss_bbox: 0.1726 loss_iou: 0.3036 d0.loss_cls: 0.3766 d0.loss_bbox: 0.1851 d0.loss_iou: 0.3175 d1.loss_cls: 0.3557 d1.loss_bbox: 0.1809 d1.loss_iou: 0.3084 d2.loss_cls: 0.3517 d2.loss_bbox: 0.1725 d2.loss_iou: 0.3024 d3.loss_cls: 0.3439 d3.loss_bbox: 0.1723 d3.loss_iou: 0.3028 d4.loss_cls: 0.3403 d4.loss_bbox: 0.1720 d4.loss_iou: 0.3027 enc_loss_cls: 0.3908 enc_loss_bbox: 0.1939 enc_loss_iou: 0.3330 dn_loss_cls: 0.1112 dn_loss_bbox: 0.2212 dn_loss_iou: 0.2643 d0.dn_loss_cls: 0.2071 d0.dn_loss_bbox: 0.3754 d0.dn_loss_iou: 0.4183 d1.dn_loss_cls: 0.1490 d1.dn_loss_bbox: 0.2557 d1.dn_loss_iou: 0.2992 d2.dn_loss_cls: 0.1287 d2.dn_loss_bbox: 0.2294 d2.dn_loss_iou: 0.2721 d3.dn_loss_cls: 0.1209 d3.dn_loss_bbox: 0.2223 d3.dn_loss_iou: 0.2651 d4.dn_loss_cls: 0.1134 d4.dn_loss_bbox: 0.2213 d4.dn_loss_iou: 0.2642 d1.loss_lmm_region: 0.1575 loss_lmm_image: 0.8124 2024/11/03 06:46:34 - mmengine - INFO - Iter(train) [ 63200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:02:13 time: 0.9585 data_time: 0.0179 memory: 20918 grad_norm: 22.4976 loss: 9.0111 loss_cls: 0.2592 loss_bbox: 0.1329 loss_iou: 0.2374 d0.loss_cls: 0.2893 d0.loss_bbox: 0.1483 d0.loss_iou: 0.2531 d1.loss_cls: 0.2696 d1.loss_bbox: 0.1386 d1.loss_iou: 0.2419 d2.loss_cls: 0.2659 d2.loss_bbox: 0.1368 d2.loss_iou: 0.2390 d3.loss_cls: 0.2663 d3.loss_bbox: 0.1322 d3.loss_iou: 0.2372 d4.loss_cls: 0.2614 d4.loss_bbox: 0.1322 d4.loss_iou: 0.2364 enc_loss_cls: 0.3082 enc_loss_bbox: 0.1594 enc_loss_iou: 0.2741 dn_loss_cls: 0.0946 dn_loss_bbox: 0.1751 dn_loss_iou: 0.2165 d0.dn_loss_cls: 0.1768 d0.dn_loss_bbox: 0.3280 d0.dn_loss_iou: 0.3663 d1.dn_loss_cls: 0.1191 d1.dn_loss_bbox: 0.2076 d1.dn_loss_iou: 0.2475 d2.dn_loss_cls: 0.1071 d2.dn_loss_bbox: 0.1825 d2.dn_loss_iou: 0.2238 d3.dn_loss_cls: 0.0991 d3.dn_loss_bbox: 0.1765 d3.dn_loss_iou: 0.2177 d4.dn_loss_cls: 0.0949 d4.dn_loss_bbox: 0.1751 d4.dn_loss_iou: 0.2165 d1.loss_lmm_region: 0.1368 loss_lmm_image: 0.8304 2024/11/03 06:48:12 - mmengine - INFO - Iter(train) [ 63300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:00:30 time: 0.9686 data_time: 0.0180 memory: 20570 grad_norm: 27.3619 loss: 9.4009 loss_cls: 0.3112 loss_bbox: 0.1380 loss_iou: 0.2700 d0.loss_cls: 0.3374 d0.loss_bbox: 0.1614 d0.loss_iou: 0.2929 d1.loss_cls: 0.3245 d1.loss_bbox: 0.1440 d1.loss_iou: 0.2773 d2.loss_cls: 0.3149 d2.loss_bbox: 0.1465 d2.loss_iou: 0.2749 d3.loss_cls: 0.3164 d3.loss_bbox: 0.1426 d3.loss_iou: 0.2716 d4.loss_cls: 0.3131 d4.loss_bbox: 0.1389 d4.loss_iou: 0.2699 enc_loss_cls: 0.3534 enc_loss_bbox: 0.1729 enc_loss_iou: 0.3181 dn_loss_cls: 0.0733 dn_loss_bbox: 0.1528 dn_loss_iou: 0.2126 d0.dn_loss_cls: 0.1587 d0.dn_loss_bbox: 0.2948 d0.dn_loss_iou: 0.3540 d1.dn_loss_cls: 0.1011 d1.dn_loss_bbox: 0.1811 d1.dn_loss_iou: 0.2431 d2.dn_loss_cls: 0.0842 d2.dn_loss_bbox: 0.1602 d2.dn_loss_iou: 0.2209 d3.dn_loss_cls: 0.0754 d3.dn_loss_bbox: 0.1540 d3.dn_loss_iou: 0.2133 d4.dn_loss_cls: 0.0724 d4.dn_loss_bbox: 0.1527 d4.dn_loss_iou: 0.2125 d1.loss_lmm_region: 0.1414 loss_lmm_image: 0.8525 2024/11/03 06:49:49 - mmengine - INFO - Iter(train) [ 63400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:58:48 time: 0.9717 data_time: 0.0179 memory: 22006 grad_norm: 22.6556 loss: 9.3300 loss_cls: 0.2815 loss_bbox: 0.1465 loss_iou: 0.2831 d0.loss_cls: 0.3174 d0.loss_bbox: 0.1632 d0.loss_iou: 0.3032 d1.loss_cls: 0.3011 d1.loss_bbox: 0.1491 d1.loss_iou: 0.2887 d2.loss_cls: 0.2884 d2.loss_bbox: 0.1492 d2.loss_iou: 0.2878 d3.loss_cls: 0.2875 d3.loss_bbox: 0.1489 d3.loss_iou: 0.2845 d4.loss_cls: 0.2833 d4.loss_bbox: 0.1464 d4.loss_iou: 0.2825 enc_loss_cls: 0.3300 enc_loss_bbox: 0.1782 enc_loss_iou: 0.3257 dn_loss_cls: 0.0673 dn_loss_bbox: 0.1605 dn_loss_iou: 0.2187 d0.dn_loss_cls: 0.1446 d0.dn_loss_bbox: 0.3006 d0.dn_loss_iou: 0.3585 d1.dn_loss_cls: 0.0967 d1.dn_loss_bbox: 0.1899 d1.dn_loss_iou: 0.2485 d2.dn_loss_cls: 0.0830 d2.dn_loss_bbox: 0.1678 d2.dn_loss_iou: 0.2275 d3.dn_loss_cls: 0.0739 d3.dn_loss_bbox: 0.1616 d3.dn_loss_iou: 0.2203 d4.dn_loss_cls: 0.0684 d4.dn_loss_bbox: 0.1603 d4.dn_loss_iou: 0.2187 d1.loss_lmm_region: 0.1427 loss_lmm_image: 0.7943 2024/11/03 06:51:27 - mmengine - INFO - Iter(train) [ 63500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:57:05 time: 0.9735 data_time: 0.0179 memory: 21257 grad_norm: 22.8674 loss: 9.8031 loss_cls: 0.3037 loss_bbox: 0.1461 loss_iou: 0.2606 d0.loss_cls: 0.3413 d0.loss_bbox: 0.1619 d0.loss_iou: 0.2801 d1.loss_cls: 0.3285 d1.loss_bbox: 0.1460 d1.loss_iou: 0.2657 d2.loss_cls: 0.3186 d2.loss_bbox: 0.1452 d2.loss_iou: 0.2609 d3.loss_cls: 0.3111 d3.loss_bbox: 0.1449 d3.loss_iou: 0.2590 d4.loss_cls: 0.3063 d4.loss_bbox: 0.1458 d4.loss_iou: 0.2579 enc_loss_cls: 0.3515 enc_loss_bbox: 0.1728 enc_loss_iou: 0.3012 dn_loss_cls: 0.1065 dn_loss_bbox: 0.1752 dn_loss_iou: 0.2366 d0.dn_loss_cls: 0.1942 d0.dn_loss_bbox: 0.3272 d0.dn_loss_iou: 0.3889 d1.dn_loss_cls: 0.1404 d1.dn_loss_bbox: 0.2110 d1.dn_loss_iou: 0.2722 d2.dn_loss_cls: 0.1237 d2.dn_loss_bbox: 0.1837 d2.dn_loss_iou: 0.2447 d3.dn_loss_cls: 0.1147 d3.dn_loss_bbox: 0.1770 d3.dn_loss_iou: 0.2382 d4.dn_loss_cls: 0.1084 d4.dn_loss_bbox: 0.1754 d4.dn_loss_iou: 0.2367 d1.loss_lmm_region: 0.1385 loss_lmm_image: 0.8006 2024/11/03 06:53:04 - mmengine - INFO - Iter(train) [ 63600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:55:22 time: 0.9710 data_time: 0.0179 memory: 21266 grad_norm: 23.0259 loss: 9.0842 loss_cls: 0.2789 loss_bbox: 0.1206 loss_iou: 0.2336 d0.loss_cls: 0.3163 d0.loss_bbox: 0.1374 d0.loss_iou: 0.2533 d1.loss_cls: 0.3003 d1.loss_bbox: 0.1266 d1.loss_iou: 0.2380 d2.loss_cls: 0.2940 d2.loss_bbox: 0.1248 d2.loss_iou: 0.2334 d3.loss_cls: 0.2871 d3.loss_bbox: 0.1210 d3.loss_iou: 0.2312 d4.loss_cls: 0.2812 d4.loss_bbox: 0.1206 d4.loss_iou: 0.2319 enc_loss_cls: 0.3364 enc_loss_bbox: 0.1442 enc_loss_iou: 0.2670 dn_loss_cls: 0.0883 dn_loss_bbox: 0.1626 dn_loss_iou: 0.2237 d0.dn_loss_cls: 0.1777 d0.dn_loss_bbox: 0.3171 d0.dn_loss_iou: 0.3783 d1.dn_loss_cls: 0.1188 d1.dn_loss_bbox: 0.1948 d1.dn_loss_iou: 0.2558 d2.dn_loss_cls: 0.1029 d2.dn_loss_bbox: 0.1720 d2.dn_loss_iou: 0.2329 d3.dn_loss_cls: 0.0935 d3.dn_loss_bbox: 0.1648 d3.dn_loss_iou: 0.2252 d4.dn_loss_cls: 0.0889 d4.dn_loss_bbox: 0.1627 d4.dn_loss_iou: 0.2237 d1.loss_lmm_region: 0.1505 loss_lmm_image: 0.8720 2024/11/03 06:54:41 - mmengine - INFO - Iter(train) [ 63700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:53:39 time: 0.9797 data_time: 0.0179 memory: 21061 grad_norm: 22.6951 loss: 8.9385 loss_cls: 0.2557 loss_bbox: 0.1443 loss_iou: 0.2415 d0.loss_cls: 0.2811 d0.loss_bbox: 0.1496 d0.loss_iou: 0.2521 d1.loss_cls: 0.2715 d1.loss_bbox: 0.1422 d1.loss_iou: 0.2427 d2.loss_cls: 0.2668 d2.loss_bbox: 0.1379 d2.loss_iou: 0.2376 d3.loss_cls: 0.2597 d3.loss_bbox: 0.1390 d3.loss_iou: 0.2375 d4.loss_cls: 0.2575 d4.loss_bbox: 0.1436 d4.loss_iou: 0.2403 enc_loss_cls: 0.2920 enc_loss_bbox: 0.1613 enc_loss_iou: 0.2695 dn_loss_cls: 0.0849 dn_loss_bbox: 0.1713 dn_loss_iou: 0.2207 d0.dn_loss_cls: 0.1618 d0.dn_loss_bbox: 0.3301 d0.dn_loss_iou: 0.3698 d1.dn_loss_cls: 0.1089 d1.dn_loss_bbox: 0.2115 d1.dn_loss_iou: 0.2569 d2.dn_loss_cls: 0.0946 d2.dn_loss_bbox: 0.1819 d2.dn_loss_iou: 0.2295 d3.dn_loss_cls: 0.0879 d3.dn_loss_bbox: 0.1733 d3.dn_loss_iou: 0.2225 d4.dn_loss_cls: 0.0866 d4.dn_loss_bbox: 0.1713 d4.dn_loss_iou: 0.2206 d1.loss_lmm_region: 0.1232 loss_lmm_image: 0.8079 2024/11/03 06:56:19 - mmengine - INFO - Iter(train) [ 63800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:51:56 time: 0.9680 data_time: 0.0179 memory: 22114 grad_norm: 24.0572 loss: 9.5666 loss_cls: 0.3116 loss_bbox: 0.1322 loss_iou: 0.2622 d0.loss_cls: 0.3493 d0.loss_bbox: 0.1452 d0.loss_iou: 0.2754 d1.loss_cls: 0.3326 d1.loss_bbox: 0.1385 d1.loss_iou: 0.2663 d2.loss_cls: 0.3253 d2.loss_bbox: 0.1332 d2.loss_iou: 0.2612 d3.loss_cls: 0.3209 d3.loss_bbox: 0.1320 d3.loss_iou: 0.2622 d4.loss_cls: 0.3131 d4.loss_bbox: 0.1322 d4.loss_iou: 0.2623 enc_loss_cls: 0.3646 enc_loss_bbox: 0.1602 enc_loss_iou: 0.3004 dn_loss_cls: 0.0824 dn_loss_bbox: 0.1730 dn_loss_iou: 0.2333 d0.dn_loss_cls: 0.1625 d0.dn_loss_bbox: 0.3135 d0.dn_loss_iou: 0.3815 d1.dn_loss_cls: 0.1125 d1.dn_loss_bbox: 0.2037 d1.dn_loss_iou: 0.2665 d2.dn_loss_cls: 0.0949 d2.dn_loss_bbox: 0.1812 d2.dn_loss_iou: 0.2404 d3.dn_loss_cls: 0.0875 d3.dn_loss_bbox: 0.1744 d3.dn_loss_iou: 0.2349 d4.dn_loss_cls: 0.0839 d4.dn_loss_bbox: 0.1729 d4.dn_loss_iou: 0.2334 d1.loss_lmm_region: 0.1361 loss_lmm_image: 0.8171 2024/11/03 06:57:56 - mmengine - INFO - Iter(train) [ 63900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:50:14 time: 0.9764 data_time: 0.0180 memory: 21166 grad_norm: 23.7538 loss: 10.1296 loss_cls: 0.3390 loss_bbox: 0.1519 loss_iou: 0.2830 d0.loss_cls: 0.3676 d0.loss_bbox: 0.1679 d0.loss_iou: 0.3001 d1.loss_cls: 0.3526 d1.loss_bbox: 0.1647 d1.loss_iou: 0.2926 d2.loss_cls: 0.3450 d2.loss_bbox: 0.1575 d2.loss_iou: 0.2891 d3.loss_cls: 0.3435 d3.loss_bbox: 0.1515 d3.loss_iou: 0.2829 d4.loss_cls: 0.3384 d4.loss_bbox: 0.1529 d4.loss_iou: 0.2829 enc_loss_cls: 0.3906 enc_loss_bbox: 0.1805 enc_loss_iou: 0.3189 dn_loss_cls: 0.0885 dn_loss_bbox: 0.1671 dn_loss_iou: 0.2266 d0.dn_loss_cls: 0.1812 d0.dn_loss_bbox: 0.3270 d0.dn_loss_iou: 0.3859 d1.dn_loss_cls: 0.1241 d1.dn_loss_bbox: 0.2036 d1.dn_loss_iou: 0.2626 d2.dn_loss_cls: 0.1062 d2.dn_loss_bbox: 0.1759 d2.dn_loss_iou: 0.2351 d3.dn_loss_cls: 0.0946 d3.dn_loss_bbox: 0.1680 d3.dn_loss_iou: 0.2278 d4.dn_loss_cls: 0.0891 d4.dn_loss_bbox: 0.1671 d4.dn_loss_iou: 0.2265 d1.loss_lmm_region: 0.1512 loss_lmm_image: 0.8682 2024/11/03 06:59:34 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 06:59:34 - mmengine - INFO - Iter(train) [ 64000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:48:31 time: 0.9689 data_time: 0.0179 memory: 20990 grad_norm: 20.4906 loss: 10.2399 loss_cls: 0.3133 loss_bbox: 0.1553 loss_iou: 0.2716 d0.loss_cls: 0.3519 d0.loss_bbox: 0.1722 d0.loss_iou: 0.2962 d1.loss_cls: 0.3302 d1.loss_bbox: 0.1635 d1.loss_iou: 0.2822 d2.loss_cls: 0.3213 d2.loss_bbox: 0.1587 d2.loss_iou: 0.2748 d3.loss_cls: 0.3148 d3.loss_bbox: 0.1589 d3.loss_iou: 0.2737 d4.loss_cls: 0.3125 d4.loss_bbox: 0.1555 d4.loss_iou: 0.2718 enc_loss_cls: 0.3608 enc_loss_bbox: 0.1973 enc_loss_iou: 0.3255 dn_loss_cls: 0.1114 dn_loss_bbox: 0.2010 dn_loss_iou: 0.2376 d0.dn_loss_cls: 0.1889 d0.dn_loss_bbox: 0.3603 d0.dn_loss_iou: 0.3869 d1.dn_loss_cls: 0.1367 d1.dn_loss_bbox: 0.2298 d1.dn_loss_iou: 0.2701 d2.dn_loss_cls: 0.1211 d2.dn_loss_bbox: 0.2063 d2.dn_loss_iou: 0.2453 d3.dn_loss_cls: 0.1146 d3.dn_loss_bbox: 0.2018 d3.dn_loss_iou: 0.2387 d4.dn_loss_cls: 0.1115 d4.dn_loss_bbox: 0.2009 d4.dn_loss_iou: 0.2375 d1.loss_lmm_region: 0.1418 loss_lmm_image: 0.8357 2024/11/03 07:01:10 - mmengine - INFO - Iter(train) [ 64100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:46:47 time: 0.9620 data_time: 0.0179 memory: 20330 grad_norm: 22.8586 loss: 11.0673 loss_cls: 0.4097 loss_bbox: 0.1503 loss_iou: 0.3193 d0.loss_cls: 0.4557 d0.loss_bbox: 0.1624 d0.loss_iou: 0.3438 d1.loss_cls: 0.4313 d1.loss_bbox: 0.1580 d1.loss_iou: 0.3346 d2.loss_cls: 0.4233 d2.loss_bbox: 0.1536 d2.loss_iou: 0.3232 d3.loss_cls: 0.4184 d3.loss_bbox: 0.1539 d3.loss_iou: 0.3233 d4.loss_cls: 0.4141 d4.loss_bbox: 0.1501 d4.loss_iou: 0.3185 enc_loss_cls: 0.4651 enc_loss_bbox: 0.1895 enc_loss_iou: 0.3757 dn_loss_cls: 0.1218 dn_loss_bbox: 0.1623 dn_loss_iou: 0.2292 d0.dn_loss_cls: 0.1983 d0.dn_loss_bbox: 0.3019 d0.dn_loss_iou: 0.3776 d1.dn_loss_cls: 0.1392 d1.dn_loss_bbox: 0.1945 d1.dn_loss_iou: 0.2645 d2.dn_loss_cls: 0.1203 d2.dn_loss_bbox: 0.1710 d2.dn_loss_iou: 0.2397 d3.dn_loss_cls: 0.1171 d3.dn_loss_bbox: 0.1632 d3.dn_loss_iou: 0.2307 d4.dn_loss_cls: 0.1252 d4.dn_loss_bbox: 0.1623 d4.dn_loss_iou: 0.2291 d1.loss_lmm_region: 0.1639 loss_lmm_image: 0.8815 2024/11/03 07:02:48 - mmengine - INFO - Iter(train) [ 64200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:45:05 time: 0.9781 data_time: 0.0179 memory: 20636 grad_norm: 20.7678 loss: 8.6959 loss_cls: 0.2772 loss_bbox: 0.1141 loss_iou: 0.2256 d0.loss_cls: 0.3079 d0.loss_bbox: 0.1305 d0.loss_iou: 0.2454 d1.loss_cls: 0.2914 d1.loss_bbox: 0.1168 d1.loss_iou: 0.2321 d2.loss_cls: 0.2820 d2.loss_bbox: 0.1168 d2.loss_iou: 0.2287 d3.loss_cls: 0.2788 d3.loss_bbox: 0.1160 d3.loss_iou: 0.2277 d4.loss_cls: 0.2763 d4.loss_bbox: 0.1150 d4.loss_iou: 0.2274 enc_loss_cls: 0.3207 enc_loss_bbox: 0.1455 enc_loss_iou: 0.2664 dn_loss_cls: 0.0829 dn_loss_bbox: 0.1562 dn_loss_iou: 0.2069 d0.dn_loss_cls: 0.1697 d0.dn_loss_bbox: 0.3121 d0.dn_loss_iou: 0.3523 d1.dn_loss_cls: 0.1132 d1.dn_loss_bbox: 0.1881 d1.dn_loss_iou: 0.2398 d2.dn_loss_cls: 0.0964 d2.dn_loss_bbox: 0.1629 d2.dn_loss_iou: 0.2152 d3.dn_loss_cls: 0.0880 d3.dn_loss_bbox: 0.1579 d3.dn_loss_iou: 0.2085 d4.dn_loss_cls: 0.0844 d4.dn_loss_bbox: 0.1562 d4.dn_loss_iou: 0.2067 d1.loss_lmm_region: 0.1374 loss_lmm_image: 0.8186 2024/11/03 07:04:25 - mmengine - INFO - Iter(train) [ 64300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:43:22 time: 0.9749 data_time: 0.0179 memory: 21021 grad_norm: 25.1955 loss: 10.5473 loss_cls: 0.3134 loss_bbox: 0.1687 loss_iou: 0.3082 d0.loss_cls: 0.3456 d0.loss_bbox: 0.1784 d0.loss_iou: 0.3261 d1.loss_cls: 0.3324 d1.loss_bbox: 0.1697 d1.loss_iou: 0.3136 d2.loss_cls: 0.3210 d2.loss_bbox: 0.1727 d2.loss_iou: 0.3115 d3.loss_cls: 0.3183 d3.loss_bbox: 0.1685 d3.loss_iou: 0.3068 d4.loss_cls: 0.3094 d4.loss_bbox: 0.1736 d4.loss_iou: 0.3098 enc_loss_cls: 0.3624 enc_loss_bbox: 0.1938 enc_loss_iou: 0.3463 dn_loss_cls: 0.1004 dn_loss_bbox: 0.1836 dn_loss_iou: 0.2554 d0.dn_loss_cls: 0.1842 d0.dn_loss_bbox: 0.3535 d0.dn_loss_iou: 0.4246 d1.dn_loss_cls: 0.1297 d1.dn_loss_bbox: 0.2220 d1.dn_loss_iou: 0.2925 d2.dn_loss_cls: 0.1127 d2.dn_loss_bbox: 0.1918 d2.dn_loss_iou: 0.2655 d3.dn_loss_cls: 0.1043 d3.dn_loss_bbox: 0.1852 d3.dn_loss_iou: 0.2576 d4.dn_loss_cls: 0.1014 d4.dn_loss_bbox: 0.1833 d4.dn_loss_iou: 0.2553 d1.loss_lmm_region: 0.1443 loss_lmm_image: 0.8496 2024/11/03 07:06:03 - mmengine - INFO - Iter(train) [ 64400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:41:40 time: 0.9810 data_time: 0.0180 memory: 21039 grad_norm: 27.0434 loss: 9.4001 loss_cls: 0.2885 loss_bbox: 0.1394 loss_iou: 0.2625 d0.loss_cls: 0.3188 d0.loss_bbox: 0.1496 d0.loss_iou: 0.2734 d1.loss_cls: 0.3043 d1.loss_bbox: 0.1451 d1.loss_iou: 0.2661 d2.loss_cls: 0.2977 d2.loss_bbox: 0.1420 d2.loss_iou: 0.2634 d3.loss_cls: 0.2974 d3.loss_bbox: 0.1371 d3.loss_iou: 0.2600 d4.loss_cls: 0.2926 d4.loss_bbox: 0.1385 d4.loss_iou: 0.2611 enc_loss_cls: 0.3358 enc_loss_bbox: 0.1617 enc_loss_iou: 0.2915 dn_loss_cls: 0.0867 dn_loss_bbox: 0.1621 dn_loss_iou: 0.2247 d0.dn_loss_cls: 0.1765 d0.dn_loss_bbox: 0.3221 d0.dn_loss_iou: 0.3824 d1.dn_loss_cls: 0.1215 d1.dn_loss_bbox: 0.1950 d1.dn_loss_iou: 0.2586 d2.dn_loss_cls: 0.1070 d2.dn_loss_bbox: 0.1705 d2.dn_loss_iou: 0.2338 d3.dn_loss_cls: 0.0929 d3.dn_loss_bbox: 0.1631 d3.dn_loss_iou: 0.2258 d4.dn_loss_cls: 0.0879 d4.dn_loss_bbox: 0.1621 d4.dn_loss_iou: 0.2248 d1.loss_lmm_region: 0.1381 loss_lmm_image: 0.8379 2024/11/03 07:07:41 - mmengine - INFO - Iter(train) [ 64500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:39:58 time: 0.9833 data_time: 0.0180 memory: 21225 grad_norm: 22.5727 loss: 8.5361 loss_cls: 0.2585 loss_bbox: 0.1225 loss_iou: 0.2070 d0.loss_cls: 0.2861 d0.loss_bbox: 0.1416 d0.loss_iou: 0.2250 d1.loss_cls: 0.2739 d1.loss_bbox: 0.1309 d1.loss_iou: 0.2135 d2.loss_cls: 0.2711 d2.loss_bbox: 0.1229 d2.loss_iou: 0.2075 d3.loss_cls: 0.2640 d3.loss_bbox: 0.1219 d3.loss_iou: 0.2068 d4.loss_cls: 0.2598 d4.loss_bbox: 0.1225 d4.loss_iou: 0.2070 enc_loss_cls: 0.3088 enc_loss_bbox: 0.1537 enc_loss_iou: 0.2408 dn_loss_cls: 0.0873 dn_loss_bbox: 0.1520 dn_loss_iou: 0.2038 d0.dn_loss_cls: 0.1730 d0.dn_loss_bbox: 0.3131 d0.dn_loss_iou: 0.3550 d1.dn_loss_cls: 0.1196 d1.dn_loss_bbox: 0.1890 d1.dn_loss_iou: 0.2386 d2.dn_loss_cls: 0.1004 d2.dn_loss_bbox: 0.1612 d2.dn_loss_iou: 0.2123 d3.dn_loss_cls: 0.0914 d3.dn_loss_bbox: 0.1529 d3.dn_loss_iou: 0.2050 d4.dn_loss_cls: 0.0873 d4.dn_loss_bbox: 0.1520 d4.dn_loss_iou: 0.2038 d1.loss_lmm_region: 0.1358 loss_lmm_image: 0.8568 2024/11/03 07:09:19 - mmengine - INFO - Iter(train) [ 64600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:38:16 time: 0.9748 data_time: 0.0180 memory: 20889 grad_norm: 23.6562 loss: 9.5250 loss_cls: 0.2795 loss_bbox: 0.1452 loss_iou: 0.2581 d0.loss_cls: 0.3171 d0.loss_bbox: 0.1596 d0.loss_iou: 0.2772 d1.loss_cls: 0.3002 d1.loss_bbox: 0.1494 d1.loss_iou: 0.2632 d2.loss_cls: 0.2919 d2.loss_bbox: 0.1453 d2.loss_iou: 0.2599 d3.loss_cls: 0.2832 d3.loss_bbox: 0.1473 d3.loss_iou: 0.2593 d4.loss_cls: 0.2793 d4.loss_bbox: 0.1457 d4.loss_iou: 0.2589 enc_loss_cls: 0.3315 enc_loss_bbox: 0.1770 enc_loss_iou: 0.3022 dn_loss_cls: 0.0988 dn_loss_bbox: 0.1694 dn_loss_iou: 0.2312 d0.dn_loss_cls: 0.1893 d0.dn_loss_bbox: 0.3422 d0.dn_loss_iou: 0.3975 d1.dn_loss_cls: 0.1343 d1.dn_loss_bbox: 0.2094 d1.dn_loss_iou: 0.2697 d2.dn_loss_cls: 0.1146 d2.dn_loss_bbox: 0.1818 d2.dn_loss_iou: 0.2423 d3.dn_loss_cls: 0.1034 d3.dn_loss_bbox: 0.1709 d3.dn_loss_iou: 0.2328 d4.dn_loss_cls: 0.0995 d4.dn_loss_bbox: 0.1694 d4.dn_loss_iou: 0.2313 d1.loss_lmm_region: 0.1346 loss_lmm_image: 0.7718 2024/11/03 07:10:57 - mmengine - INFO - Iter(train) [ 64700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:36:34 time: 0.9790 data_time: 0.0179 memory: 20707 grad_norm: 22.5812 loss: 9.4851 loss_cls: 0.3015 loss_bbox: 0.1352 loss_iou: 0.2699 d0.loss_cls: 0.3394 d0.loss_bbox: 0.1452 d0.loss_iou: 0.2892 d1.loss_cls: 0.3228 d1.loss_bbox: 0.1308 d1.loss_iou: 0.2708 d2.loss_cls: 0.3143 d2.loss_bbox: 0.1327 d2.loss_iou: 0.2669 d3.loss_cls: 0.3130 d3.loss_bbox: 0.1321 d3.loss_iou: 0.2665 d4.loss_cls: 0.3043 d4.loss_bbox: 0.1351 d4.loss_iou: 0.2690 enc_loss_cls: 0.3536 enc_loss_bbox: 0.1586 enc_loss_iou: 0.3072 dn_loss_cls: 0.0835 dn_loss_bbox: 0.1550 dn_loss_iou: 0.2246 d0.dn_loss_cls: 0.1726 d0.dn_loss_bbox: 0.3116 d0.dn_loss_iou: 0.3769 d1.dn_loss_cls: 0.1133 d1.dn_loss_bbox: 0.1887 d1.dn_loss_iou: 0.2581 d2.dn_loss_cls: 0.1008 d2.dn_loss_bbox: 0.1642 d2.dn_loss_iou: 0.2335 d3.dn_loss_cls: 0.0882 d3.dn_loss_bbox: 0.1562 d3.dn_loss_iou: 0.2252 d4.dn_loss_cls: 0.0828 d4.dn_loss_bbox: 0.1551 d4.dn_loss_iou: 0.2246 d1.loss_lmm_region: 0.1773 loss_lmm_image: 0.8346 2024/11/03 07:12:34 - mmengine - INFO - Iter(train) [ 64800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:34:51 time: 0.9637 data_time: 0.0181 memory: 20649 grad_norm: 23.6289 loss: 9.2039 loss_cls: 0.2633 loss_bbox: 0.1337 loss_iou: 0.2473 d0.loss_cls: 0.2972 d0.loss_bbox: 0.1457 d0.loss_iou: 0.2619 d1.loss_cls: 0.2863 d1.loss_bbox: 0.1370 d1.loss_iou: 0.2482 d2.loss_cls: 0.2732 d2.loss_bbox: 0.1329 d2.loss_iou: 0.2478 d3.loss_cls: 0.2712 d3.loss_bbox: 0.1308 d3.loss_iou: 0.2462 d4.loss_cls: 0.2645 d4.loss_bbox: 0.1328 d4.loss_iou: 0.2468 enc_loss_cls: 0.3128 enc_loss_bbox: 0.1606 enc_loss_iou: 0.2838 dn_loss_cls: 0.0994 dn_loss_bbox: 0.1703 dn_loss_iou: 0.2188 d0.dn_loss_cls: 0.1835 d0.dn_loss_bbox: 0.3079 d0.dn_loss_iou: 0.3647 d1.dn_loss_cls: 0.1328 d1.dn_loss_bbox: 0.2037 d1.dn_loss_iou: 0.2524 d2.dn_loss_cls: 0.1151 d2.dn_loss_bbox: 0.1786 d2.dn_loss_iou: 0.2280 d3.dn_loss_cls: 0.1061 d3.dn_loss_bbox: 0.1719 d3.dn_loss_iou: 0.2202 d4.dn_loss_cls: 0.0996 d4.dn_loss_bbox: 0.1703 d4.dn_loss_iou: 0.2187 d1.loss_lmm_region: 0.1620 loss_lmm_image: 0.8760 2024/11/03 07:14:11 - mmengine - INFO - Iter(train) [ 64900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:33:09 time: 0.9751 data_time: 0.0180 memory: 20632 grad_norm: 25.7641 loss: 10.5758 loss_cls: 0.3081 loss_bbox: 0.1642 loss_iou: 0.2716 d0.loss_cls: 0.3395 d0.loss_bbox: 0.1829 d0.loss_iou: 0.2915 d1.loss_cls: 0.3221 d1.loss_bbox: 0.1741 d1.loss_iou: 0.2771 d2.loss_cls: 0.3127 d2.loss_bbox: 0.1693 d2.loss_iou: 0.2735 d3.loss_cls: 0.3105 d3.loss_bbox: 0.1656 d3.loss_iou: 0.2730 d4.loss_cls: 0.3084 d4.loss_bbox: 0.1634 d4.loss_iou: 0.2713 enc_loss_cls: 0.3659 enc_loss_bbox: 0.1906 enc_loss_iou: 0.3050 dn_loss_cls: 0.1211 dn_loss_bbox: 0.2154 dn_loss_iou: 0.2509 d0.dn_loss_cls: 0.2143 d0.dn_loss_bbox: 0.3943 d0.dn_loss_iou: 0.4114 d1.dn_loss_cls: 0.1557 d1.dn_loss_bbox: 0.2511 d1.dn_loss_iou: 0.2869 d2.dn_loss_cls: 0.1391 d2.dn_loss_bbox: 0.2270 d2.dn_loss_iou: 0.2612 d3.dn_loss_cls: 0.1280 d3.dn_loss_bbox: 0.2171 d3.dn_loss_iou: 0.2524 d4.dn_loss_cls: 0.1224 d4.dn_loss_bbox: 0.2153 d4.dn_loss_iou: 0.2509 d1.loss_lmm_region: 0.1647 loss_lmm_image: 0.8565 2024/11/03 07:15:48 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 07:15:48 - mmengine - INFO - Iter(train) [ 65000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:31:25 time: 0.9741 data_time: 0.0179 memory: 21022 grad_norm: 20.5157 loss: 10.6601 loss_cls: 0.3337 loss_bbox: 0.1739 loss_iou: 0.3198 d0.loss_cls: 0.3772 d0.loss_bbox: 0.1865 d0.loss_iou: 0.3351 d1.loss_cls: 0.3472 d1.loss_bbox: 0.1780 d1.loss_iou: 0.3279 d2.loss_cls: 0.3470 d2.loss_bbox: 0.1728 d2.loss_iou: 0.3199 d3.loss_cls: 0.3403 d3.loss_bbox: 0.1759 d3.loss_iou: 0.3228 d4.loss_cls: 0.3350 d4.loss_bbox: 0.1740 d4.loss_iou: 0.3204 enc_loss_cls: 0.3899 enc_loss_bbox: 0.1974 enc_loss_iou: 0.3581 dn_loss_cls: 0.0948 dn_loss_bbox: 0.1861 dn_loss_iou: 0.2429 d0.dn_loss_cls: 0.1807 d0.dn_loss_bbox: 0.3318 d0.dn_loss_iou: 0.3946 d1.dn_loss_cls: 0.1290 d1.dn_loss_bbox: 0.2155 d1.dn_loss_iou: 0.2761 d2.dn_loss_cls: 0.1096 d2.dn_loss_bbox: 0.1942 d2.dn_loss_iou: 0.2520 d3.dn_loss_cls: 0.1026 d3.dn_loss_bbox: 0.1868 d3.dn_loss_iou: 0.2439 d4.dn_loss_cls: 0.0965 d4.dn_loss_bbox: 0.1861 d4.dn_loss_iou: 0.2427 d1.loss_lmm_region: 0.1457 loss_lmm_image: 0.8160 2024/11/03 07:17:26 - mmengine - INFO - Iter(train) [ 65100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:29:43 time: 0.9837 data_time: 0.0179 memory: 20790 grad_norm: 28.4396 loss: 9.6735 loss_cls: 0.2878 loss_bbox: 0.1474 loss_iou: 0.2412 d0.loss_cls: 0.3132 d0.loss_bbox: 0.1655 d0.loss_iou: 0.2615 d1.loss_cls: 0.3017 d1.loss_bbox: 0.1530 d1.loss_iou: 0.2480 d2.loss_cls: 0.2996 d2.loss_bbox: 0.1482 d2.loss_iou: 0.2419 d3.loss_cls: 0.2967 d3.loss_bbox: 0.1423 d3.loss_iou: 0.2380 d4.loss_cls: 0.2937 d4.loss_bbox: 0.1439 d4.loss_iou: 0.2393 enc_loss_cls: 0.3361 enc_loss_bbox: 0.1795 enc_loss_iou: 0.2811 dn_loss_cls: 0.0959 dn_loss_bbox: 0.1981 dn_loss_iou: 0.2332 d0.dn_loss_cls: 0.1892 d0.dn_loss_bbox: 0.3710 d0.dn_loss_iou: 0.3977 d1.dn_loss_cls: 0.1258 d1.dn_loss_bbox: 0.2324 d1.dn_loss_iou: 0.2719 d2.dn_loss_cls: 0.1100 d2.dn_loss_bbox: 0.2077 d2.dn_loss_iou: 0.2436 d3.dn_loss_cls: 0.1000 d3.dn_loss_bbox: 0.1993 d3.dn_loss_iou: 0.2348 d4.dn_loss_cls: 0.0973 d4.dn_loss_bbox: 0.1980 d4.dn_loss_iou: 0.2331 d1.loss_lmm_region: 0.1377 loss_lmm_image: 0.8372 2024/11/03 07:19:03 - mmengine - INFO - Iter(train) [ 65200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:28:00 time: 0.9765 data_time: 0.0182 memory: 21006 grad_norm: 21.3213 loss: 9.1620 loss_cls: 0.2989 loss_bbox: 0.1329 loss_iou: 0.2360 d0.loss_cls: 0.3371 d0.loss_bbox: 0.1497 d0.loss_iou: 0.2552 d1.loss_cls: 0.3242 d1.loss_bbox: 0.1322 d1.loss_iou: 0.2404 d2.loss_cls: 0.3154 d2.loss_bbox: 0.1288 d2.loss_iou: 0.2364 d3.loss_cls: 0.3093 d3.loss_bbox: 0.1317 d3.loss_iou: 0.2338 d4.loss_cls: 0.3021 d4.loss_bbox: 0.1323 d4.loss_iou: 0.2361 enc_loss_cls: 0.3535 enc_loss_bbox: 0.1614 enc_loss_iou: 0.2780 dn_loss_cls: 0.1171 dn_loss_bbox: 0.1450 dn_loss_iou: 0.2006 d0.dn_loss_cls: 0.1882 d0.dn_loss_bbox: 0.2841 d0.dn_loss_iou: 0.3457 d1.dn_loss_cls: 0.1416 d1.dn_loss_bbox: 0.1788 d1.dn_loss_iou: 0.2358 d2.dn_loss_cls: 0.1279 d2.dn_loss_bbox: 0.1550 d2.dn_loss_iou: 0.2104 d3.dn_loss_cls: 0.1209 d3.dn_loss_bbox: 0.1458 d3.dn_loss_iou: 0.2024 d4.dn_loss_cls: 0.1204 d4.dn_loss_bbox: 0.1451 d4.dn_loss_iou: 0.2006 d1.loss_lmm_region: 0.1385 loss_lmm_image: 0.8329 2024/11/03 07:20:40 - mmengine - INFO - Iter(train) [ 65300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:26:17 time: 0.9604 data_time: 0.0179 memory: 20492 grad_norm: 21.6733 loss: 10.4942 loss_cls: 0.3295 loss_bbox: 0.1616 loss_iou: 0.3003 d0.loss_cls: 0.3760 d0.loss_bbox: 0.1737 d0.loss_iou: 0.3158 d1.loss_cls: 0.3514 d1.loss_bbox: 0.1662 d1.loss_iou: 0.3046 d2.loss_cls: 0.3405 d2.loss_bbox: 0.1618 d2.loss_iou: 0.2966 d3.loss_cls: 0.3370 d3.loss_bbox: 0.1597 d3.loss_iou: 0.2980 d4.loss_cls: 0.3311 d4.loss_bbox: 0.1613 d4.loss_iou: 0.3004 enc_loss_cls: 0.3951 enc_loss_bbox: 0.1833 enc_loss_iou: 0.3382 dn_loss_cls: 0.1071 dn_loss_bbox: 0.1688 dn_loss_iou: 0.2419 d0.dn_loss_cls: 0.2017 d0.dn_loss_bbox: 0.3203 d0.dn_loss_iou: 0.3940 d1.dn_loss_cls: 0.1486 d1.dn_loss_bbox: 0.2033 d1.dn_loss_iou: 0.2752 d2.dn_loss_cls: 0.1260 d2.dn_loss_bbox: 0.1797 d2.dn_loss_iou: 0.2515 d3.dn_loss_cls: 0.1146 d3.dn_loss_bbox: 0.1704 d3.dn_loss_iou: 0.2436 d4.dn_loss_cls: 0.1073 d4.dn_loss_bbox: 0.1689 d4.dn_loss_iou: 0.2420 d1.loss_lmm_region: 0.1789 loss_lmm_image: 0.8683 2024/11/03 07:22:17 - mmengine - INFO - Iter(train) [ 65400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:24:34 time: 0.9686 data_time: 0.0182 memory: 21086 grad_norm: 20.8369 loss: 9.4201 loss_cls: 0.3068 loss_bbox: 0.1208 loss_iou: 0.2399 d0.loss_cls: 0.3444 d0.loss_bbox: 0.1334 d0.loss_iou: 0.2559 d1.loss_cls: 0.3301 d1.loss_bbox: 0.1249 d1.loss_iou: 0.2467 d2.loss_cls: 0.3206 d2.loss_bbox: 0.1221 d2.loss_iou: 0.2391 d3.loss_cls: 0.3120 d3.loss_bbox: 0.1216 d3.loss_iou: 0.2402 d4.loss_cls: 0.3088 d4.loss_bbox: 0.1206 d4.loss_iou: 0.2394 enc_loss_cls: 0.3600 enc_loss_bbox: 0.1464 enc_loss_iou: 0.2768 dn_loss_cls: 0.1099 dn_loss_bbox: 0.1637 dn_loss_iou: 0.2163 d0.dn_loss_cls: 0.1961 d0.dn_loss_bbox: 0.3002 d0.dn_loss_iou: 0.3601 d1.dn_loss_cls: 0.1438 d1.dn_loss_bbox: 0.1995 d1.dn_loss_iou: 0.2534 d2.dn_loss_cls: 0.1270 d2.dn_loss_bbox: 0.1703 d2.dn_loss_iou: 0.2244 d3.dn_loss_cls: 0.1182 d3.dn_loss_bbox: 0.1647 d3.dn_loss_iou: 0.2180 d4.dn_loss_cls: 0.1116 d4.dn_loss_bbox: 0.1639 d4.dn_loss_iou: 0.2162 d1.loss_lmm_region: 0.1642 loss_lmm_image: 0.8882 2024/11/03 07:23:53 - mmengine - INFO - Iter(train) [ 65500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:22:50 time: 0.9562 data_time: 0.0180 memory: 20763 grad_norm: 20.5186 loss: 8.8884 loss_cls: 0.2669 loss_bbox: 0.1327 loss_iou: 0.2322 d0.loss_cls: 0.3047 d0.loss_bbox: 0.1446 d0.loss_iou: 0.2504 d1.loss_cls: 0.2851 d1.loss_bbox: 0.1369 d1.loss_iou: 0.2375 d2.loss_cls: 0.2797 d2.loss_bbox: 0.1351 d2.loss_iou: 0.2337 d3.loss_cls: 0.2720 d3.loss_bbox: 0.1322 d3.loss_iou: 0.2317 d4.loss_cls: 0.2679 d4.loss_bbox: 0.1314 d4.loss_iou: 0.2311 enc_loss_cls: 0.3218 enc_loss_bbox: 0.1684 enc_loss_iou: 0.2741 dn_loss_cls: 0.0727 dn_loss_bbox: 0.1603 dn_loss_iou: 0.2122 d0.dn_loss_cls: 0.1609 d0.dn_loss_bbox: 0.3188 d0.dn_loss_iou: 0.3672 d1.dn_loss_cls: 0.1040 d1.dn_loss_bbox: 0.1945 d1.dn_loss_iou: 0.2473 d2.dn_loss_cls: 0.0895 d2.dn_loss_bbox: 0.1707 d2.dn_loss_iou: 0.2215 d3.dn_loss_cls: 0.0785 d3.dn_loss_bbox: 0.1622 d3.dn_loss_iou: 0.2138 d4.dn_loss_cls: 0.0735 d4.dn_loss_bbox: 0.1603 d4.dn_loss_iou: 0.2121 d1.loss_lmm_region: 0.1381 loss_lmm_image: 0.8601 2024/11/03 07:25:30 - mmengine - INFO - Iter(train) [ 65600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:21:07 time: 0.9865 data_time: 0.0181 memory: 20806 grad_norm: 21.0734 loss: 9.0683 loss_cls: 0.2880 loss_bbox: 0.1347 loss_iou: 0.2463 d0.loss_cls: 0.3291 d0.loss_bbox: 0.1455 d0.loss_iou: 0.2565 d1.loss_cls: 0.3085 d1.loss_bbox: 0.1354 d1.loss_iou: 0.2472 d2.loss_cls: 0.2984 d2.loss_bbox: 0.1351 d2.loss_iou: 0.2458 d3.loss_cls: 0.2988 d3.loss_bbox: 0.1325 d3.loss_iou: 0.2445 d4.loss_cls: 0.2907 d4.loss_bbox: 0.1343 d4.loss_iou: 0.2465 enc_loss_cls: 0.3422 enc_loss_bbox: 0.1552 enc_loss_iou: 0.2774 dn_loss_cls: 0.0840 dn_loss_bbox: 0.1722 dn_loss_iou: 0.2014 d0.dn_loss_cls: 0.1641 d0.dn_loss_bbox: 0.3058 d0.dn_loss_iou: 0.3334 d1.dn_loss_cls: 0.1118 d1.dn_loss_bbox: 0.1971 d1.dn_loss_iou: 0.2293 d2.dn_loss_cls: 0.0970 d2.dn_loss_bbox: 0.1774 d2.dn_loss_iou: 0.2091 d3.dn_loss_cls: 0.0896 d3.dn_loss_bbox: 0.1719 d3.dn_loss_iou: 0.2022 d4.dn_loss_cls: 0.0855 d4.dn_loss_bbox: 0.1721 d4.dn_loss_iou: 0.2014 d1.loss_lmm_region: 0.1357 loss_lmm_image: 0.8346 2024/11/03 07:27:07 - mmengine - INFO - Iter(train) [ 65700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:19:24 time: 0.9572 data_time: 0.0179 memory: 20683 grad_norm: nan loss: 9.1123 loss_cls: 0.2704 loss_bbox: 0.1334 loss_iou: 0.2292 d0.loss_cls: 0.3087 d0.loss_bbox: 0.1436 d0.loss_iou: 0.2407 d1.loss_cls: 0.2859 d1.loss_bbox: 0.1344 d1.loss_iou: 0.2332 d2.loss_cls: 0.2801 d2.loss_bbox: 0.1298 d2.loss_iou: 0.2278 d3.loss_cls: 0.2715 d3.loss_bbox: 0.1317 d3.loss_iou: 0.2297 d4.loss_cls: 0.2718 d4.loss_bbox: 0.1332 d4.loss_iou: 0.2287 enc_loss_cls: 0.3182 enc_loss_bbox: 0.1639 enc_loss_iou: 0.2676 dn_loss_cls: 0.0904 dn_loss_bbox: 0.1809 dn_loss_iou: 0.2216 d0.dn_loss_cls: 0.1736 d0.dn_loss_bbox: 0.3376 d0.dn_loss_iou: 0.3703 d1.dn_loss_cls: 0.1225 d1.dn_loss_bbox: 0.2153 d1.dn_loss_iou: 0.2543 d2.dn_loss_cls: 0.1073 d2.dn_loss_bbox: 0.1895 d2.dn_loss_iou: 0.2294 d3.dn_loss_cls: 0.0967 d3.dn_loss_bbox: 0.1804 d3.dn_loss_iou: 0.2224 d4.dn_loss_cls: 0.0907 d4.dn_loss_bbox: 0.1810 d4.dn_loss_iou: 0.2216 d1.loss_lmm_region: 0.1416 loss_lmm_image: 0.8519 2024/11/03 07:28:45 - mmengine - INFO - Iter(train) [ 65800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:17:42 time: 0.9871 data_time: 0.0180 memory: 21663 grad_norm: 20.9084 loss: 9.8557 loss_cls: 0.2941 loss_bbox: 0.1527 loss_iou: 0.2617 d0.loss_cls: 0.3294 d0.loss_bbox: 0.1662 d0.loss_iou: 0.2841 d1.loss_cls: 0.3081 d1.loss_bbox: 0.1552 d1.loss_iou: 0.2690 d2.loss_cls: 0.2992 d2.loss_bbox: 0.1528 d2.loss_iou: 0.2656 d3.loss_cls: 0.2993 d3.loss_bbox: 0.1507 d3.loss_iou: 0.2616 d4.loss_cls: 0.2928 d4.loss_bbox: 0.1539 d4.loss_iou: 0.2632 enc_loss_cls: 0.3454 enc_loss_bbox: 0.1808 enc_loss_iou: 0.3054 dn_loss_cls: 0.1005 dn_loss_bbox: 0.1754 dn_loss_iou: 0.2350 d0.dn_loss_cls: 0.1890 d0.dn_loss_bbox: 0.3399 d0.dn_loss_iou: 0.3992 d1.dn_loss_cls: 0.1377 d1.dn_loss_bbox: 0.2148 d1.dn_loss_iou: 0.2743 d2.dn_loss_cls: 0.1223 d2.dn_loss_bbox: 0.1863 d2.dn_loss_iou: 0.2465 d3.dn_loss_cls: 0.1058 d3.dn_loss_bbox: 0.1773 d3.dn_loss_iou: 0.2373 d4.dn_loss_cls: 0.1014 d4.dn_loss_bbox: 0.1754 d4.dn_loss_iou: 0.2350 d1.loss_lmm_region: 0.1454 loss_lmm_image: 0.8657 2024/11/03 07:30:21 - mmengine - INFO - Iter(train) [ 65900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:15:59 time: 0.9615 data_time: 0.0179 memory: 20790 grad_norm: 21.8997 loss: 8.7376 loss_cls: 0.2687 loss_bbox: 0.1138 loss_iou: 0.2281 d0.loss_cls: 0.2969 d0.loss_bbox: 0.1282 d0.loss_iou: 0.2491 d1.loss_cls: 0.2805 d1.loss_bbox: 0.1177 d1.loss_iou: 0.2387 d2.loss_cls: 0.2745 d2.loss_bbox: 0.1168 d2.loss_iou: 0.2325 d3.loss_cls: 0.2688 d3.loss_bbox: 0.1161 d3.loss_iou: 0.2305 d4.loss_cls: 0.2684 d4.loss_bbox: 0.1149 d4.loss_iou: 0.2290 enc_loss_cls: 0.3105 enc_loss_bbox: 0.1459 enc_loss_iou: 0.2710 dn_loss_cls: 0.0766 dn_loss_bbox: 0.1572 dn_loss_iou: 0.2125 d0.dn_loss_cls: 0.1657 d0.dn_loss_bbox: 0.3298 d0.dn_loss_iou: 0.3712 d1.dn_loss_cls: 0.1086 d1.dn_loss_bbox: 0.1962 d1.dn_loss_iou: 0.2482 d2.dn_loss_cls: 0.0912 d2.dn_loss_bbox: 0.1659 d2.dn_loss_iou: 0.2207 d3.dn_loss_cls: 0.0809 d3.dn_loss_bbox: 0.1591 d3.dn_loss_iou: 0.2139 d4.dn_loss_cls: 0.0767 d4.dn_loss_bbox: 0.1571 d4.dn_loss_iou: 0.2123 d1.loss_lmm_region: 0.1223 loss_lmm_image: 0.8710 2024/11/03 07:31:59 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 07:31:59 - mmengine - INFO - Iter(train) [ 66000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:14:16 time: 0.9692 data_time: 0.0180 memory: 20419 grad_norm: 19.7852 loss: 9.6235 loss_cls: 0.3024 loss_bbox: 0.1461 loss_iou: 0.2560 d0.loss_cls: 0.3453 d0.loss_bbox: 0.1560 d0.loss_iou: 0.2692 d1.loss_cls: 0.3219 d1.loss_bbox: 0.1516 d1.loss_iou: 0.2650 d2.loss_cls: 0.3064 d2.loss_bbox: 0.1515 d2.loss_iou: 0.2641 d3.loss_cls: 0.3090 d3.loss_bbox: 0.1473 d3.loss_iou: 0.2572 d4.loss_cls: 0.3030 d4.loss_bbox: 0.1473 d4.loss_iou: 0.2573 enc_loss_cls: 0.3536 enc_loss_bbox: 0.1712 enc_loss_iou: 0.2965 dn_loss_cls: 0.0983 dn_loss_bbox: 0.1827 dn_loss_iou: 0.2097 d0.dn_loss_cls: 0.1698 d0.dn_loss_bbox: 0.3447 d0.dn_loss_iou: 0.3645 d1.dn_loss_cls: 0.1189 d1.dn_loss_bbox: 0.2165 d1.dn_loss_iou: 0.2464 d2.dn_loss_cls: 0.1056 d2.dn_loss_bbox: 0.1924 d2.dn_loss_iou: 0.2192 d3.dn_loss_cls: 0.0989 d3.dn_loss_bbox: 0.1837 d3.dn_loss_iou: 0.2112 d4.dn_loss_cls: 0.0981 d4.dn_loss_bbox: 0.1828 d4.dn_loss_iou: 0.2097 d1.loss_lmm_region: 0.1368 loss_lmm_image: 0.8557 2024/11/03 07:33:36 - mmengine - INFO - Iter(train) [ 66100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:12:33 time: 0.9702 data_time: 0.0180 memory: 21103 grad_norm: 21.5227 loss: 9.1031 loss_cls: 0.2919 loss_bbox: 0.1276 loss_iou: 0.2219 d0.loss_cls: 0.3214 d0.loss_bbox: 0.1402 d0.loss_iou: 0.2426 d1.loss_cls: 0.3047 d1.loss_bbox: 0.1330 d1.loss_iou: 0.2288 d2.loss_cls: 0.2962 d2.loss_bbox: 0.1323 d2.loss_iou: 0.2263 d3.loss_cls: 0.2948 d3.loss_bbox: 0.1279 d3.loss_iou: 0.2214 d4.loss_cls: 0.2911 d4.loss_bbox: 0.1272 d4.loss_iou: 0.2214 enc_loss_cls: 0.3396 enc_loss_bbox: 0.1516 enc_loss_iou: 0.2607 dn_loss_cls: 0.0976 dn_loss_bbox: 0.1593 dn_loss_iou: 0.2156 d0.dn_loss_cls: 0.1794 d0.dn_loss_bbox: 0.3243 d0.dn_loss_iou: 0.3737 d1.dn_loss_cls: 0.1268 d1.dn_loss_bbox: 0.1982 d1.dn_loss_iou: 0.2529 d2.dn_loss_cls: 0.1121 d2.dn_loss_bbox: 0.1711 d2.dn_loss_iou: 0.2262 d3.dn_loss_cls: 0.1027 d3.dn_loss_bbox: 0.1613 d3.dn_loss_iou: 0.2176 d4.dn_loss_cls: 0.0981 d4.dn_loss_bbox: 0.1595 d4.dn_loss_iou: 0.2158 d1.loss_lmm_region: 0.1394 loss_lmm_image: 0.8690 2024/11/03 07:35:13 - mmengine - INFO - Iter(train) [ 66200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:10:50 time: 0.9622 data_time: 0.0181 memory: 20722 grad_norm: 23.7038 loss: 9.6188 loss_cls: 0.2914 loss_bbox: 0.1312 loss_iou: 0.2374 d0.loss_cls: 0.3291 d0.loss_bbox: 0.1428 d0.loss_iou: 0.2547 d1.loss_cls: 0.3192 d1.loss_bbox: 0.1270 d1.loss_iou: 0.2379 d2.loss_cls: 0.3025 d2.loss_bbox: 0.1278 d2.loss_iou: 0.2380 d3.loss_cls: 0.3004 d3.loss_bbox: 0.1270 d3.loss_iou: 0.2357 d4.loss_cls: 0.2946 d4.loss_bbox: 0.1310 d4.loss_iou: 0.2369 enc_loss_cls: 0.3421 enc_loss_bbox: 0.1554 enc_loss_iou: 0.2749 dn_loss_cls: 0.1472 dn_loss_bbox: 0.1811 dn_loss_iou: 0.2084 d0.dn_loss_cls: 0.2239 d0.dn_loss_bbox: 0.3406 d0.dn_loss_iou: 0.3543 d1.dn_loss_cls: 0.1792 d1.dn_loss_bbox: 0.2190 d1.dn_loss_iou: 0.2426 d2.dn_loss_cls: 0.1645 d2.dn_loss_bbox: 0.1920 d2.dn_loss_iou: 0.2178 d3.dn_loss_cls: 0.1559 d3.dn_loss_bbox: 0.1823 d3.dn_loss_iou: 0.2098 d4.dn_loss_cls: 0.1474 d4.dn_loss_bbox: 0.1811 d4.dn_loss_iou: 0.2085 d1.loss_lmm_region: 0.1584 loss_lmm_image: 0.8679 2024/11/03 07:36:50 - mmengine - INFO - Iter(train) [ 66300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:09:08 time: 0.9764 data_time: 0.0179 memory: 21218 grad_norm: 27.3940 loss: 10.1365 loss_cls: 0.3212 loss_bbox: 0.1555 loss_iou: 0.2635 d0.loss_cls: 0.3572 d0.loss_bbox: 0.1666 d0.loss_iou: 0.2826 d1.loss_cls: 0.3452 d1.loss_bbox: 0.1553 d1.loss_iou: 0.2648 d2.loss_cls: 0.3370 d2.loss_bbox: 0.1563 d2.loss_iou: 0.2636 d3.loss_cls: 0.3278 d3.loss_bbox: 0.1546 d3.loss_iou: 0.2637 d4.loss_cls: 0.3244 d4.loss_bbox: 0.1556 d4.loss_iou: 0.2639 enc_loss_cls: 0.3723 enc_loss_bbox: 0.1835 enc_loss_iou: 0.3036 dn_loss_cls: 0.0883 dn_loss_bbox: 0.1971 dn_loss_iou: 0.2328 d0.dn_loss_cls: 0.1778 d0.dn_loss_bbox: 0.3705 d0.dn_loss_iou: 0.3897 d1.dn_loss_cls: 0.1222 d1.dn_loss_bbox: 0.2360 d1.dn_loss_iou: 0.2694 d2.dn_loss_cls: 0.1034 d2.dn_loss_bbox: 0.2076 d2.dn_loss_iou: 0.2421 d3.dn_loss_cls: 0.0942 d3.dn_loss_bbox: 0.1978 d3.dn_loss_iou: 0.2343 d4.dn_loss_cls: 0.0898 d4.dn_loss_bbox: 0.1970 d4.dn_loss_iou: 0.2328 d1.loss_lmm_region: 0.1666 loss_lmm_image: 0.8689 2024/11/03 07:38:28 - mmengine - INFO - Iter(train) [ 66400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:07:26 time: 0.9609 data_time: 0.0180 memory: 20690 grad_norm: 21.5191 loss: 10.6571 loss_cls: 0.3419 loss_bbox: 0.1766 loss_iou: 0.2888 d0.loss_cls: 0.3851 d0.loss_bbox: 0.1926 d0.loss_iou: 0.3081 d1.loss_cls: 0.3682 d1.loss_bbox: 0.1822 d1.loss_iou: 0.2960 d2.loss_cls: 0.3561 d2.loss_bbox: 0.1742 d2.loss_iou: 0.2911 d3.loss_cls: 0.3479 d3.loss_bbox: 0.1748 d3.loss_iou: 0.2903 d4.loss_cls: 0.3453 d4.loss_bbox: 0.1745 d4.loss_iou: 0.2890 enc_loss_cls: 0.3987 enc_loss_bbox: 0.2041 enc_loss_iou: 0.3310 dn_loss_cls: 0.1120 dn_loss_bbox: 0.1831 dn_loss_iou: 0.2345 d0.dn_loss_cls: 0.2001 d0.dn_loss_bbox: 0.3507 d0.dn_loss_iou: 0.3900 d1.dn_loss_cls: 0.1423 d1.dn_loss_bbox: 0.2149 d1.dn_loss_iou: 0.2700 d2.dn_loss_cls: 0.1278 d2.dn_loss_bbox: 0.1911 d2.dn_loss_iou: 0.2446 d3.dn_loss_cls: 0.1177 d3.dn_loss_bbox: 0.1840 d3.dn_loss_iou: 0.2360 d4.dn_loss_cls: 0.1164 d4.dn_loss_bbox: 0.1830 d4.dn_loss_iou: 0.2345 d1.loss_lmm_region: 0.1531 loss_lmm_image: 0.8548 2024/11/03 07:40:05 - mmengine - INFO - Iter(train) [ 66500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:05:44 time: 0.9831 data_time: 0.0180 memory: 20696 grad_norm: 27.3463 loss: 10.5698 loss_cls: 0.3280 loss_bbox: 0.1632 loss_iou: 0.2883 d0.loss_cls: 0.3587 d0.loss_bbox: 0.1781 d0.loss_iou: 0.3072 d1.loss_cls: 0.3426 d1.loss_bbox: 0.1711 d1.loss_iou: 0.2957 d2.loss_cls: 0.3381 d2.loss_bbox: 0.1693 d2.loss_iou: 0.2912 d3.loss_cls: 0.3337 d3.loss_bbox: 0.1644 d3.loss_iou: 0.2902 d4.loss_cls: 0.3347 d4.loss_bbox: 0.1634 d4.loss_iou: 0.2889 enc_loss_cls: 0.3754 enc_loss_bbox: 0.1911 enc_loss_iou: 0.3278 dn_loss_cls: 0.1214 dn_loss_bbox: 0.1881 dn_loss_iou: 0.2501 d0.dn_loss_cls: 0.2081 d0.dn_loss_bbox: 0.3549 d0.dn_loss_iou: 0.4106 d1.dn_loss_cls: 0.1511 d1.dn_loss_bbox: 0.2264 d1.dn_loss_iou: 0.2850 d2.dn_loss_cls: 0.1364 d2.dn_loss_bbox: 0.1988 d2.dn_loss_iou: 0.2586 d3.dn_loss_cls: 0.1292 d3.dn_loss_bbox: 0.1902 d3.dn_loss_iou: 0.2516 d4.dn_loss_cls: 0.1234 d4.dn_loss_bbox: 0.1882 d4.dn_loss_iou: 0.2502 d1.loss_lmm_region: 0.1565 loss_lmm_image: 0.7900 2024/11/03 07:41:43 - mmengine - INFO - Iter(train) [ 66600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:04:01 time: 0.9767 data_time: 0.0181 memory: 20816 grad_norm: 21.8447 loss: 11.0258 loss_cls: 0.3529 loss_bbox: 0.1804 loss_iou: 0.3032 d0.loss_cls: 0.4001 d0.loss_bbox: 0.1945 d0.loss_iou: 0.3132 d1.loss_cls: 0.3749 d1.loss_bbox: 0.1870 d1.loss_iou: 0.3043 d2.loss_cls: 0.3656 d2.loss_bbox: 0.1841 d2.loss_iou: 0.2988 d3.loss_cls: 0.3645 d3.loss_bbox: 0.1779 d3.loss_iou: 0.2988 d4.loss_cls: 0.3574 d4.loss_bbox: 0.1790 d4.loss_iou: 0.2994 enc_loss_cls: 0.4129 enc_loss_bbox: 0.2048 enc_loss_iou: 0.3312 dn_loss_cls: 0.1202 dn_loss_bbox: 0.2037 dn_loss_iou: 0.2426 d0.dn_loss_cls: 0.2131 d0.dn_loss_bbox: 0.3847 d0.dn_loss_iou: 0.3952 d1.dn_loss_cls: 0.1558 d1.dn_loss_bbox: 0.2443 d1.dn_loss_iou: 0.2777 d2.dn_loss_cls: 0.1398 d2.dn_loss_bbox: 0.2161 d2.dn_loss_iou: 0.2531 d3.dn_loss_cls: 0.1273 d3.dn_loss_bbox: 0.2052 d3.dn_loss_iou: 0.2437 d4.dn_loss_cls: 0.1212 d4.dn_loss_bbox: 0.2038 d4.dn_loss_iou: 0.2425 d1.loss_lmm_region: 0.1515 loss_lmm_image: 0.7995 2024/11/03 07:43:20 - mmengine - INFO - Iter(train) [ 66700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:02:19 time: 0.9867 data_time: 0.0180 memory: 20411 grad_norm: 24.1643 loss: 9.9503 loss_cls: 0.3013 loss_bbox: 0.1536 loss_iou: 0.2845 d0.loss_cls: 0.3390 d0.loss_bbox: 0.1659 d0.loss_iou: 0.3002 d1.loss_cls: 0.3197 d1.loss_bbox: 0.1548 d1.loss_iou: 0.2901 d2.loss_cls: 0.3103 d2.loss_bbox: 0.1578 d2.loss_iou: 0.2875 d3.loss_cls: 0.3085 d3.loss_bbox: 0.1534 d3.loss_iou: 0.2867 d4.loss_cls: 0.3064 d4.loss_bbox: 0.1528 d4.loss_iou: 0.2844 enc_loss_cls: 0.3563 enc_loss_bbox: 0.1796 enc_loss_iou: 0.3190 dn_loss_cls: 0.0852 dn_loss_bbox: 0.1925 dn_loss_iou: 0.2471 d0.dn_loss_cls: 0.1692 d0.dn_loss_bbox: 0.3372 d0.dn_loss_iou: 0.3925 d1.dn_loss_cls: 0.1149 d1.dn_loss_bbox: 0.2284 d1.dn_loss_iou: 0.2797 d2.dn_loss_cls: 0.0996 d2.dn_loss_bbox: 0.2031 d2.dn_loss_iou: 0.2556 d3.dn_loss_cls: 0.0908 d3.dn_loss_bbox: 0.1940 d3.dn_loss_iou: 0.2486 d4.dn_loss_cls: 0.0857 d4.dn_loss_bbox: 0.1923 d4.dn_loss_iou: 0.2468 d1.loss_lmm_region: 0.1340 loss_lmm_image: 0.7414 2024/11/03 07:44:56 - mmengine - INFO - Iter(train) [ 66800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:00:35 time: 0.9544 data_time: 0.0180 memory: 21172 grad_norm: 21.6361 loss: 9.4206 loss_cls: 0.2629 loss_bbox: 0.1502 loss_iou: 0.2629 d0.loss_cls: 0.3040 d0.loss_bbox: 0.1574 d0.loss_iou: 0.2773 d1.loss_cls: 0.2861 d1.loss_bbox: 0.1516 d1.loss_iou: 0.2656 d2.loss_cls: 0.2792 d2.loss_bbox: 0.1465 d2.loss_iou: 0.2637 d3.loss_cls: 0.2715 d3.loss_bbox: 0.1469 d3.loss_iou: 0.2619 d4.loss_cls: 0.2643 d4.loss_bbox: 0.1490 d4.loss_iou: 0.2626 enc_loss_cls: 0.3216 enc_loss_bbox: 0.1696 enc_loss_iou: 0.2974 dn_loss_cls: 0.0738 dn_loss_bbox: 0.1850 dn_loss_iou: 0.2351 d0.dn_loss_cls: 0.1697 d0.dn_loss_bbox: 0.3366 d0.dn_loss_iou: 0.3910 d1.dn_loss_cls: 0.1043 d1.dn_loss_bbox: 0.2164 d1.dn_loss_iou: 0.2689 d2.dn_loss_cls: 0.0879 d2.dn_loss_bbox: 0.1929 d2.dn_loss_iou: 0.2428 d3.dn_loss_cls: 0.0766 d3.dn_loss_bbox: 0.1863 d3.dn_loss_iou: 0.2362 d4.dn_loss_cls: 0.0740 d4.dn_loss_bbox: 0.1850 d4.dn_loss_iou: 0.2349 d1.loss_lmm_region: 0.1293 loss_lmm_image: 0.8418 2024/11/03 07:46:33 - mmengine - INFO - Iter(train) [ 66900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:58:53 time: 0.9652 data_time: 0.0180 memory: 20859 grad_norm: 21.4108 loss: 8.5531 loss_cls: 0.2864 loss_bbox: 0.1105 loss_iou: 0.2359 d0.loss_cls: 0.3267 d0.loss_bbox: 0.1237 d0.loss_iou: 0.2517 d1.loss_cls: 0.3050 d1.loss_bbox: 0.1158 d1.loss_iou: 0.2430 d2.loss_cls: 0.2932 d2.loss_bbox: 0.1113 d2.loss_iou: 0.2369 d3.loss_cls: 0.2889 d3.loss_bbox: 0.1111 d3.loss_iou: 0.2359 d4.loss_cls: 0.2867 d4.loss_bbox: 0.1106 d4.loss_iou: 0.2354 enc_loss_cls: 0.3327 enc_loss_bbox: 0.1433 enc_loss_iou: 0.2810 dn_loss_cls: 0.0740 dn_loss_bbox: 0.1247 dn_loss_iou: 0.1982 d0.dn_loss_cls: 0.1568 d0.dn_loss_bbox: 0.2639 d0.dn_loss_iou: 0.3423 d1.dn_loss_cls: 0.1081 d1.dn_loss_bbox: 0.1530 d1.dn_loss_iou: 0.2295 d2.dn_loss_cls: 0.0927 d2.dn_loss_bbox: 0.1328 d2.dn_loss_iou: 0.2055 d3.dn_loss_cls: 0.0795 d3.dn_loss_bbox: 0.1256 d3.dn_loss_iou: 0.1991 d4.dn_loss_cls: 0.0764 d4.dn_loss_bbox: 0.1248 d4.dn_loss_iou: 0.1982 d1.loss_lmm_region: 0.1358 loss_lmm_image: 0.8664 2024/11/03 07:48:10 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 07:48:10 - mmengine - INFO - Iter(train) [ 67000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:57:09 time: 0.9676 data_time: 0.0180 memory: 20229 grad_norm: 26.4040 loss: 10.0946 loss_cls: 0.3313 loss_bbox: 0.1584 loss_iou: 0.3042 d0.loss_cls: 0.3607 d0.loss_bbox: 0.1815 d0.loss_iou: 0.3196 d1.loss_cls: 0.3535 d1.loss_bbox: 0.1595 d1.loss_iou: 0.3030 d2.loss_cls: 0.3413 d2.loss_bbox: 0.1602 d2.loss_iou: 0.3004 d3.loss_cls: 0.3379 d3.loss_bbox: 0.1621 d3.loss_iou: 0.3037 d4.loss_cls: 0.3291 d4.loss_bbox: 0.1611 d4.loss_iou: 0.3055 enc_loss_cls: 0.3823 enc_loss_bbox: 0.1944 enc_loss_iou: 0.3404 dn_loss_cls: 0.0966 dn_loss_bbox: 0.1558 dn_loss_iou: 0.2236 d0.dn_loss_cls: 0.1826 d0.dn_loss_bbox: 0.2891 d0.dn_loss_iou: 0.3616 d1.dn_loss_cls: 0.1271 d1.dn_loss_bbox: 0.1887 d1.dn_loss_iou: 0.2558 d2.dn_loss_cls: 0.1088 d2.dn_loss_bbox: 0.1674 d2.dn_loss_iou: 0.2337 d3.dn_loss_cls: 0.1013 d3.dn_loss_bbox: 0.1581 d3.dn_loss_iou: 0.2255 d4.dn_loss_cls: 0.0969 d4.dn_loss_bbox: 0.1558 d4.dn_loss_iou: 0.2235 d1.loss_lmm_region: 0.1418 loss_lmm_image: 0.8111 2024/11/03 07:49:46 - mmengine - INFO - Iter(train) [ 67100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:55:26 time: 0.9576 data_time: 0.0179 memory: 21388 grad_norm: 20.6162 loss: 9.1223 loss_cls: 0.2827 loss_bbox: 0.1288 loss_iou: 0.2327 d0.loss_cls: 0.3219 d0.loss_bbox: 0.1406 d0.loss_iou: 0.2463 d1.loss_cls: 0.3059 d1.loss_bbox: 0.1238 d1.loss_iou: 0.2317 d2.loss_cls: 0.2976 d2.loss_bbox: 0.1259 d2.loss_iou: 0.2327 d3.loss_cls: 0.2930 d3.loss_bbox: 0.1251 d3.loss_iou: 0.2287 d4.loss_cls: 0.2853 d4.loss_bbox: 0.1278 d4.loss_iou: 0.2328 enc_loss_cls: 0.3346 enc_loss_bbox: 0.1506 enc_loss_iou: 0.2679 dn_loss_cls: 0.0853 dn_loss_bbox: 0.1753 dn_loss_iou: 0.2240 d0.dn_loss_cls: 0.1715 d0.dn_loss_bbox: 0.3174 d0.dn_loss_iou: 0.3694 d1.dn_loss_cls: 0.1158 d1.dn_loss_bbox: 0.2081 d1.dn_loss_iou: 0.2557 d2.dn_loss_cls: 0.0990 d2.dn_loss_bbox: 0.1842 d2.dn_loss_iou: 0.2322 d3.dn_loss_cls: 0.0901 d3.dn_loss_bbox: 0.1767 d3.dn_loss_iou: 0.2252 d4.dn_loss_cls: 0.0860 d4.dn_loss_bbox: 0.1756 d4.dn_loss_iou: 0.2240 d1.loss_lmm_region: 0.1535 loss_lmm_image: 0.8368 2024/11/03 07:51:23 - mmengine - INFO - Iter(train) [ 67200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:53:43 time: 0.9760 data_time: 0.0179 memory: 20782 grad_norm: 24.6663 loss: 10.7915 loss_cls: 0.3445 loss_bbox: 0.1748 loss_iou: 0.3239 d0.loss_cls: 0.3813 d0.loss_bbox: 0.1939 d0.loss_iou: 0.3411 d1.loss_cls: 0.3625 d1.loss_bbox: 0.1805 d1.loss_iou: 0.3308 d2.loss_cls: 0.3506 d2.loss_bbox: 0.1780 d2.loss_iou: 0.3240 d3.loss_cls: 0.3511 d3.loss_bbox: 0.1732 d3.loss_iou: 0.3227 d4.loss_cls: 0.3449 d4.loss_bbox: 0.1762 d4.loss_iou: 0.3252 enc_loss_cls: 0.3949 enc_loss_bbox: 0.2079 enc_loss_iou: 0.3666 dn_loss_cls: 0.0985 dn_loss_bbox: 0.1763 dn_loss_iou: 0.2490 d0.dn_loss_cls: 0.1828 d0.dn_loss_bbox: 0.3270 d0.dn_loss_iou: 0.4039 d1.dn_loss_cls: 0.1276 d1.dn_loss_bbox: 0.2145 d1.dn_loss_iou: 0.2856 d2.dn_loss_cls: 0.1102 d2.dn_loss_bbox: 0.1851 d2.dn_loss_iou: 0.2560 d3.dn_loss_cls: 0.1041 d3.dn_loss_bbox: 0.1772 d3.dn_loss_iou: 0.2500 d4.dn_loss_cls: 0.0990 d4.dn_loss_bbox: 0.1764 d4.dn_loss_iou: 0.2489 d1.loss_lmm_region: 0.1401 loss_lmm_image: 0.8308 2024/11/03 07:53:00 - mmengine - INFO - Iter(train) [ 67300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:52:01 time: 0.9731 data_time: 0.0180 memory: 20957 grad_norm: 22.3212 loss: 9.9422 loss_cls: 0.3361 loss_bbox: 0.1533 loss_iou: 0.3032 d0.loss_cls: 0.3714 d0.loss_bbox: 0.1716 d0.loss_iou: 0.3270 d1.loss_cls: 0.3631 d1.loss_bbox: 0.1584 d1.loss_iou: 0.3124 d2.loss_cls: 0.3530 d2.loss_bbox: 0.1533 d2.loss_iou: 0.3052 d3.loss_cls: 0.3452 d3.loss_bbox: 0.1527 d3.loss_iou: 0.3027 d4.loss_cls: 0.3357 d4.loss_bbox: 0.1540 d4.loss_iou: 0.3040 enc_loss_cls: 0.3912 enc_loss_bbox: 0.1836 enc_loss_iou: 0.3525 dn_loss_cls: 0.0700 dn_loss_bbox: 0.1550 dn_loss_iou: 0.2181 d0.dn_loss_cls: 0.1528 d0.dn_loss_bbox: 0.2935 d0.dn_loss_iou: 0.3618 d1.dn_loss_cls: 0.1029 d1.dn_loss_bbox: 0.1881 d1.dn_loss_iou: 0.2504 d2.dn_loss_cls: 0.0862 d2.dn_loss_bbox: 0.1632 d2.dn_loss_iou: 0.2269 d3.dn_loss_cls: 0.0753 d3.dn_loss_bbox: 0.1572 d3.dn_loss_iou: 0.2198 d4.dn_loss_cls: 0.0707 d4.dn_loss_bbox: 0.1550 d4.dn_loss_iou: 0.2180 d1.loss_lmm_region: 0.1255 loss_lmm_image: 0.8223 2024/11/03 07:54:38 - mmengine - INFO - Iter(train) [ 67400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:50:18 time: 0.9770 data_time: 0.0181 memory: 20785 grad_norm: 21.3225 loss: 10.1663 loss_cls: 0.3334 loss_bbox: 0.1514 loss_iou: 0.3090 d0.loss_cls: 0.3744 d0.loss_bbox: 0.1671 d0.loss_iou: 0.3269 d1.loss_cls: 0.3580 d1.loss_bbox: 0.1543 d1.loss_iou: 0.3135 d2.loss_cls: 0.3417 d2.loss_bbox: 0.1527 d2.loss_iou: 0.3132 d3.loss_cls: 0.3390 d3.loss_bbox: 0.1508 d3.loss_iou: 0.3096 d4.loss_cls: 0.3348 d4.loss_bbox: 0.1501 d4.loss_iou: 0.3088 enc_loss_cls: 0.3867 enc_loss_bbox: 0.1817 enc_loss_iou: 0.3536 dn_loss_cls: 0.0922 dn_loss_bbox: 0.1616 dn_loss_iou: 0.2358 d0.dn_loss_cls: 0.1673 d0.dn_loss_bbox: 0.3049 d0.dn_loss_iou: 0.3835 d1.dn_loss_cls: 0.1149 d1.dn_loss_bbox: 0.1955 d1.dn_loss_iou: 0.2713 d2.dn_loss_cls: 0.1001 d2.dn_loss_bbox: 0.1695 d2.dn_loss_iou: 0.2453 d3.dn_loss_cls: 0.0946 d3.dn_loss_bbox: 0.1626 d3.dn_loss_iou: 0.2375 d4.dn_loss_cls: 0.0929 d4.dn_loss_bbox: 0.1616 d4.dn_loss_iou: 0.2358 d1.loss_lmm_region: 0.1326 loss_lmm_image: 0.7959 2024/11/03 07:56:14 - mmengine - INFO - Iter(train) [ 67500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:48:35 time: 0.9644 data_time: 0.0181 memory: 20418 grad_norm: 23.4162 loss: 8.6848 loss_cls: 0.2662 loss_bbox: 0.1238 loss_iou: 0.2089 d0.loss_cls: 0.2957 d0.loss_bbox: 0.1426 d0.loss_iou: 0.2313 d1.loss_cls: 0.2758 d1.loss_bbox: 0.1343 d1.loss_iou: 0.2191 d2.loss_cls: 0.2657 d2.loss_bbox: 0.1317 d2.loss_iou: 0.2169 d3.loss_cls: 0.2650 d3.loss_bbox: 0.1262 d3.loss_iou: 0.2127 d4.loss_cls: 0.2655 d4.loss_bbox: 0.1247 d4.loss_iou: 0.2109 enc_loss_cls: 0.3054 enc_loss_bbox: 0.1532 enc_loss_iou: 0.2429 dn_loss_cls: 0.0971 dn_loss_bbox: 0.1510 dn_loss_iou: 0.2063 d0.dn_loss_cls: 0.1824 d0.dn_loss_bbox: 0.3057 d0.dn_loss_iou: 0.3641 d1.dn_loss_cls: 0.1304 d1.dn_loss_bbox: 0.1835 d1.dn_loss_iou: 0.2408 d2.dn_loss_cls: 0.1126 d2.dn_loss_bbox: 0.1586 d2.dn_loss_iou: 0.2147 d3.dn_loss_cls: 0.1016 d3.dn_loss_bbox: 0.1511 d3.dn_loss_iou: 0.2067 d4.dn_loss_cls: 0.0990 d4.dn_loss_bbox: 0.1511 d4.dn_loss_iou: 0.2063 d1.loss_lmm_region: 0.1463 loss_lmm_image: 0.8569 2024/11/03 07:57:51 - mmengine - INFO - Iter(train) [ 67600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:46:53 time: 0.9608 data_time: 0.0179 memory: 20084 grad_norm: 23.6822 loss: 9.0649 loss_cls: 0.2926 loss_bbox: 0.1404 loss_iou: 0.2263 d0.loss_cls: 0.3237 d0.loss_bbox: 0.1468 d0.loss_iou: 0.2456 d1.loss_cls: 0.3097 d1.loss_bbox: 0.1396 d1.loss_iou: 0.2366 d2.loss_cls: 0.3039 d2.loss_bbox: 0.1392 d2.loss_iou: 0.2314 d3.loss_cls: 0.2986 d3.loss_bbox: 0.1384 d3.loss_iou: 0.2277 d4.loss_cls: 0.2935 d4.loss_bbox: 0.1403 d4.loss_iou: 0.2272 enc_loss_cls: 0.3326 enc_loss_bbox: 0.1667 enc_loss_iou: 0.2712 dn_loss_cls: 0.0932 dn_loss_bbox: 0.1624 dn_loss_iou: 0.1977 d0.dn_loss_cls: 0.1713 d0.dn_loss_bbox: 0.3241 d0.dn_loss_iou: 0.3479 d1.dn_loss_cls: 0.1229 d1.dn_loss_bbox: 0.1965 d1.dn_loss_iou: 0.2332 d2.dn_loss_cls: 0.1086 d2.dn_loss_bbox: 0.1696 d2.dn_loss_iou: 0.2061 d3.dn_loss_cls: 0.0994 d3.dn_loss_bbox: 0.1634 d3.dn_loss_iou: 0.1995 d4.dn_loss_cls: 0.0935 d4.dn_loss_bbox: 0.1624 d4.dn_loss_iou: 0.1978 d1.loss_lmm_region: 0.1587 loss_lmm_image: 0.8245 2024/11/03 07:59:29 - mmengine - INFO - Iter(train) [ 67700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:45:10 time: 0.9666 data_time: 0.0179 memory: 21287 grad_norm: 30.9289 loss: 10.0468 loss_cls: 0.3165 loss_bbox: 0.1362 loss_iou: 0.2815 d0.loss_cls: 0.3552 d0.loss_bbox: 0.1509 d0.loss_iou: 0.2968 d1.loss_cls: 0.3382 d1.loss_bbox: 0.1379 d1.loss_iou: 0.2817 d2.loss_cls: 0.3269 d2.loss_bbox: 0.1348 d2.loss_iou: 0.2794 d3.loss_cls: 0.3233 d3.loss_bbox: 0.1337 d3.loss_iou: 0.2790 d4.loss_cls: 0.3174 d4.loss_bbox: 0.1370 d4.loss_iou: 0.2829 enc_loss_cls: 0.3766 enc_loss_bbox: 0.1670 enc_loss_iou: 0.3153 dn_loss_cls: 0.0874 dn_loss_bbox: 0.1998 dn_loss_iou: 0.2320 d0.dn_loss_cls: 0.1750 d0.dn_loss_bbox: 0.3820 d0.dn_loss_iou: 0.3921 d1.dn_loss_cls: 0.1239 d1.dn_loss_bbox: 0.2377 d1.dn_loss_iou: 0.2676 d2.dn_loss_cls: 0.1027 d2.dn_loss_bbox: 0.2105 d2.dn_loss_iou: 0.2422 d3.dn_loss_cls: 0.0932 d3.dn_loss_bbox: 0.2005 d3.dn_loss_iou: 0.2336 d4.dn_loss_cls: 0.0895 d4.dn_loss_bbox: 0.1999 d4.dn_loss_iou: 0.2319 d1.loss_lmm_region: 0.1432 loss_lmm_image: 0.8336 2024/11/03 08:01:05 - mmengine - INFO - Iter(train) [ 67800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:43:27 time: 0.9500 data_time: 0.0180 memory: 20006 grad_norm: 24.6757 loss: 10.0939 loss_cls: 0.3532 loss_bbox: 0.1520 loss_iou: 0.2460 d0.loss_cls: 0.3869 d0.loss_bbox: 0.1620 d0.loss_iou: 0.2596 d1.loss_cls: 0.3704 d1.loss_bbox: 0.1571 d1.loss_iou: 0.2500 d2.loss_cls: 0.3582 d2.loss_bbox: 0.1557 d2.loss_iou: 0.2504 d3.loss_cls: 0.3549 d3.loss_bbox: 0.1533 d3.loss_iou: 0.2477 d4.loss_cls: 0.3536 d4.loss_bbox: 0.1522 d4.loss_iou: 0.2467 enc_loss_cls: 0.4003 enc_loss_bbox: 0.1752 enc_loss_iou: 0.2827 dn_loss_cls: 0.1167 dn_loss_bbox: 0.1677 dn_loss_iou: 0.2244 d0.dn_loss_cls: 0.2140 d0.dn_loss_bbox: 0.3230 d0.dn_loss_iou: 0.3786 d1.dn_loss_cls: 0.1530 d1.dn_loss_bbox: 0.1950 d1.dn_loss_iou: 0.2548 d2.dn_loss_cls: 0.1325 d2.dn_loss_bbox: 0.1736 d2.dn_loss_iou: 0.2314 d3.dn_loss_cls: 0.1232 d3.dn_loss_bbox: 0.1685 d3.dn_loss_iou: 0.2256 d4.dn_loss_cls: 0.1168 d4.dn_loss_bbox: 0.1677 d4.dn_loss_iou: 0.2244 d1.loss_lmm_region: 0.1761 loss_lmm_image: 0.8588 2024/11/03 08:02:43 - mmengine - INFO - Iter(train) [ 67900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:41:45 time: 0.9822 data_time: 0.0179 memory: 20850 grad_norm: 24.0844 loss: 9.2419 loss_cls: 0.2901 loss_bbox: 0.1252 loss_iou: 0.2856 d0.loss_cls: 0.3272 d0.loss_bbox: 0.1412 d0.loss_iou: 0.2994 d1.loss_cls: 0.3073 d1.loss_bbox: 0.1300 d1.loss_iou: 0.2909 d2.loss_cls: 0.3016 d2.loss_bbox: 0.1267 d2.loss_iou: 0.2870 d3.loss_cls: 0.2971 d3.loss_bbox: 0.1253 d3.loss_iou: 0.2850 d4.loss_cls: 0.2916 d4.loss_bbox: 0.1254 d4.loss_iou: 0.2857 enc_loss_cls: 0.3425 enc_loss_bbox: 0.1550 enc_loss_iou: 0.3219 dn_loss_cls: 0.0803 dn_loss_bbox: 0.1451 dn_loss_iou: 0.2138 d0.dn_loss_cls: 0.1636 d0.dn_loss_bbox: 0.2926 d0.dn_loss_iou: 0.3573 d1.dn_loss_cls: 0.1137 d1.dn_loss_bbox: 0.1763 d1.dn_loss_iou: 0.2465 d2.dn_loss_cls: 0.0973 d2.dn_loss_bbox: 0.1526 d2.dn_loss_iou: 0.2225 d3.dn_loss_cls: 0.0870 d3.dn_loss_bbox: 0.1457 d3.dn_loss_iou: 0.2149 d4.dn_loss_cls: 0.0801 d4.dn_loss_bbox: 0.1450 d4.dn_loss_iou: 0.2136 d1.loss_lmm_region: 0.1133 loss_lmm_image: 0.8391 2024/11/03 08:04:20 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 08:04:20 - mmengine - INFO - Iter(train) [ 68000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:40:03 time: 0.9719 data_time: 0.0181 memory: 21721 grad_norm: 20.8512 loss: 10.4740 loss_cls: 0.3288 loss_bbox: 0.1758 loss_iou: 0.3046 d0.loss_cls: 0.3760 d0.loss_bbox: 0.1894 d0.loss_iou: 0.3202 d1.loss_cls: 0.3514 d1.loss_bbox: 0.1830 d1.loss_iou: 0.3109 d2.loss_cls: 0.3420 d2.loss_bbox: 0.1759 d2.loss_iou: 0.3052 d3.loss_cls: 0.3370 d3.loss_bbox: 0.1753 d3.loss_iou: 0.3054 d4.loss_cls: 0.3318 d4.loss_bbox: 0.1749 d4.loss_iou: 0.3045 enc_loss_cls: 0.3893 enc_loss_bbox: 0.2067 enc_loss_iou: 0.3431 dn_loss_cls: 0.0880 dn_loss_bbox: 0.1709 dn_loss_iou: 0.2456 d0.dn_loss_cls: 0.1798 d0.dn_loss_bbox: 0.3275 d0.dn_loss_iou: 0.4000 d1.dn_loss_cls: 0.1237 d1.dn_loss_bbox: 0.2027 d1.dn_loss_iou: 0.2799 d2.dn_loss_cls: 0.1046 d2.dn_loss_bbox: 0.1802 d2.dn_loss_iou: 0.2545 d3.dn_loss_cls: 0.0942 d3.dn_loss_bbox: 0.1729 d3.dn_loss_iou: 0.2473 d4.dn_loss_cls: 0.0889 d4.dn_loss_bbox: 0.1709 d4.dn_loss_iou: 0.2454 d1.loss_lmm_region: 0.1590 loss_lmm_image: 0.8065 2024/11/03 08:05:57 - mmengine - INFO - Iter(train) [ 68100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:38:21 time: 0.9728 data_time: 0.0179 memory: 21551 grad_norm: 21.3193 loss: 9.8597 loss_cls: 0.3109 loss_bbox: 0.1454 loss_iou: 0.2649 d0.loss_cls: 0.3401 d0.loss_bbox: 0.1641 d0.loss_iou: 0.2826 d1.loss_cls: 0.3255 d1.loss_bbox: 0.1575 d1.loss_iou: 0.2742 d2.loss_cls: 0.3208 d2.loss_bbox: 0.1498 d2.loss_iou: 0.2637 d3.loss_cls: 0.3186 d3.loss_bbox: 0.1461 d3.loss_iou: 0.2656 d4.loss_cls: 0.3121 d4.loss_bbox: 0.1454 d4.loss_iou: 0.2653 enc_loss_cls: 0.3622 enc_loss_bbox: 0.1718 enc_loss_iou: 0.3055 dn_loss_cls: 0.0870 dn_loss_bbox: 0.1850 dn_loss_iou: 0.2332 d0.dn_loss_cls: 0.1859 d0.dn_loss_bbox: 0.3556 d0.dn_loss_iou: 0.3932 d1.dn_loss_cls: 0.1237 d1.dn_loss_bbox: 0.2226 d1.dn_loss_iou: 0.2685 d2.dn_loss_cls: 0.1036 d2.dn_loss_bbox: 0.1921 d2.dn_loss_iou: 0.2428 d3.dn_loss_cls: 0.0941 d3.dn_loss_bbox: 0.1864 d3.dn_loss_iou: 0.2349 d4.dn_loss_cls: 0.0878 d4.dn_loss_bbox: 0.1850 d4.dn_loss_iou: 0.2330 d1.loss_lmm_region: 0.1531 loss_lmm_image: 0.8003 2024/11/03 08:07:34 - mmengine - INFO - Iter(train) [ 68200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:36:38 time: 0.9619 data_time: 0.0180 memory: 20873 grad_norm: 21.2527 loss: 10.5217 loss_cls: 0.3384 loss_bbox: 0.1702 loss_iou: 0.3109 d0.loss_cls: 0.3698 d0.loss_bbox: 0.1867 d0.loss_iou: 0.3278 d1.loss_cls: 0.3518 d1.loss_bbox: 0.1769 d1.loss_iou: 0.3193 d2.loss_cls: 0.3487 d2.loss_bbox: 0.1683 d2.loss_iou: 0.3107 d3.loss_cls: 0.3437 d3.loss_bbox: 0.1679 d3.loss_iou: 0.3104 d4.loss_cls: 0.3419 d4.loss_bbox: 0.1658 d4.loss_iou: 0.3086 enc_loss_cls: 0.3920 enc_loss_bbox: 0.1975 enc_loss_iou: 0.3489 dn_loss_cls: 0.0924 dn_loss_bbox: 0.1801 dn_loss_iou: 0.2339 d0.dn_loss_cls: 0.1855 d0.dn_loss_bbox: 0.3339 d0.dn_loss_iou: 0.3755 d1.dn_loss_cls: 0.1292 d1.dn_loss_bbox: 0.2160 d1.dn_loss_iou: 0.2676 d2.dn_loss_cls: 0.1128 d2.dn_loss_bbox: 0.1905 d2.dn_loss_iou: 0.2438 d3.dn_loss_cls: 0.1026 d3.dn_loss_bbox: 0.1812 d3.dn_loss_iou: 0.2355 d4.dn_loss_cls: 0.0946 d4.dn_loss_bbox: 0.1802 d4.dn_loss_iou: 0.2339 d1.loss_lmm_region: 0.1513 loss_lmm_image: 0.8250 2024/11/03 08:09:11 - mmengine - INFO - Iter(train) [ 68300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:34:56 time: 0.9596 data_time: 0.0180 memory: 21414 grad_norm: 22.7332 loss: 10.1101 loss_cls: 0.3018 loss_bbox: 0.1660 loss_iou: 0.2677 d0.loss_cls: 0.3325 d0.loss_bbox: 0.1779 d0.loss_iou: 0.2787 d1.loss_cls: 0.3157 d1.loss_bbox: 0.1692 d1.loss_iou: 0.2702 d2.loss_cls: 0.3043 d2.loss_bbox: 0.1686 d2.loss_iou: 0.2694 d3.loss_cls: 0.3051 d3.loss_bbox: 0.1654 d3.loss_iou: 0.2657 d4.loss_cls: 0.3026 d4.loss_bbox: 0.1665 d4.loss_iou: 0.2662 enc_loss_cls: 0.3467 enc_loss_bbox: 0.1895 enc_loss_iou: 0.2953 dn_loss_cls: 0.0980 dn_loss_bbox: 0.1984 dn_loss_iou: 0.2388 d0.dn_loss_cls: 0.1894 d0.dn_loss_bbox: 0.3825 d0.dn_loss_iou: 0.3940 d1.dn_loss_cls: 0.1377 d1.dn_loss_bbox: 0.2392 d1.dn_loss_iou: 0.2733 d2.dn_loss_cls: 0.1197 d2.dn_loss_bbox: 0.2096 d2.dn_loss_iou: 0.2480 d3.dn_loss_cls: 0.1053 d3.dn_loss_bbox: 0.2005 d3.dn_loss_iou: 0.2402 d4.dn_loss_cls: 0.0991 d4.dn_loss_bbox: 0.1986 d4.dn_loss_iou: 0.2389 d1.loss_lmm_region: 0.1626 loss_lmm_image: 0.8111 2024/11/03 08:10:48 - mmengine - INFO - Iter(train) [ 68400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:33:13 time: 0.9695 data_time: 0.0181 memory: 20417 grad_norm: 23.7965 loss: 9.6581 loss_cls: 0.3059 loss_bbox: 0.1381 loss_iou: 0.2549 d0.loss_cls: 0.3471 d0.loss_bbox: 0.1532 d0.loss_iou: 0.2726 d1.loss_cls: 0.3264 d1.loss_bbox: 0.1440 d1.loss_iou: 0.2615 d2.loss_cls: 0.3130 d2.loss_bbox: 0.1445 d2.loss_iou: 0.2592 d3.loss_cls: 0.3074 d3.loss_bbox: 0.1435 d3.loss_iou: 0.2577 d4.loss_cls: 0.3063 d4.loss_bbox: 0.1386 d4.loss_iou: 0.2554 enc_loss_cls: 0.3505 enc_loss_bbox: 0.1700 enc_loss_iou: 0.2983 dn_loss_cls: 0.1053 dn_loss_bbox: 0.1694 dn_loss_iou: 0.2305 d0.dn_loss_cls: 0.1932 d0.dn_loss_bbox: 0.3172 d0.dn_loss_iou: 0.3835 d1.dn_loss_cls: 0.1362 d1.dn_loss_bbox: 0.1980 d1.dn_loss_iou: 0.2625 d2.dn_loss_cls: 0.1204 d2.dn_loss_bbox: 0.1746 d2.dn_loss_iou: 0.2379 d3.dn_loss_cls: 0.1097 d3.dn_loss_bbox: 0.1709 d3.dn_loss_iou: 0.2318 d4.dn_loss_cls: 0.1061 d4.dn_loss_bbox: 0.1693 d4.dn_loss_iou: 0.2306 d1.loss_lmm_region: 0.1547 loss_lmm_image: 0.8083 2024/11/03 08:12:26 - mmengine - INFO - Iter(train) [ 68500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:31:32 time: 0.9722 data_time: 0.0181 memory: 20384 grad_norm: 22.1769 loss: 9.7895 loss_cls: 0.3026 loss_bbox: 0.1532 loss_iou: 0.2727 d0.loss_cls: 0.3360 d0.loss_bbox: 0.1792 d0.loss_iou: 0.2961 d1.loss_cls: 0.3220 d1.loss_bbox: 0.1599 d1.loss_iou: 0.2775 d2.loss_cls: 0.3136 d2.loss_bbox: 0.1536 d2.loss_iou: 0.2738 d3.loss_cls: 0.3078 d3.loss_bbox: 0.1520 d3.loss_iou: 0.2731 d4.loss_cls: 0.3040 d4.loss_bbox: 0.1526 d4.loss_iou: 0.2737 enc_loss_cls: 0.3589 enc_loss_bbox: 0.1915 enc_loss_iou: 0.3190 dn_loss_cls: 0.0796 dn_loss_bbox: 0.1637 dn_loss_iou: 0.2284 d0.dn_loss_cls: 0.1747 d0.dn_loss_bbox: 0.3254 d0.dn_loss_iou: 0.3831 d1.dn_loss_cls: 0.1130 d1.dn_loss_bbox: 0.2013 d1.dn_loss_iou: 0.2652 d2.dn_loss_cls: 0.0969 d2.dn_loss_bbox: 0.1737 d2.dn_loss_iou: 0.2375 d3.dn_loss_cls: 0.0867 d3.dn_loss_bbox: 0.1658 d3.dn_loss_iou: 0.2303 d4.dn_loss_cls: 0.0807 d4.dn_loss_bbox: 0.1638 d4.dn_loss_iou: 0.2284 d1.loss_lmm_region: 0.1723 loss_lmm_image: 0.8462 2024/11/03 08:14:04 - mmengine - INFO - Iter(train) [ 68600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:29:51 time: 0.9846 data_time: 0.0180 memory: 20613 grad_norm: 21.7420 loss: 9.8853 loss_cls: 0.3533 loss_bbox: 0.1389 loss_iou: 0.2615 d0.loss_cls: 0.3851 d0.loss_bbox: 0.1593 d0.loss_iou: 0.2828 d1.loss_cls: 0.3689 d1.loss_bbox: 0.1456 d1.loss_iou: 0.2684 d2.loss_cls: 0.3535 d2.loss_bbox: 0.1429 d2.loss_iou: 0.2638 d3.loss_cls: 0.3546 d3.loss_bbox: 0.1408 d3.loss_iou: 0.2633 d4.loss_cls: 0.3529 d4.loss_bbox: 0.1391 d4.loss_iou: 0.2617 enc_loss_cls: 0.3965 enc_loss_bbox: 0.1703 enc_loss_iou: 0.3050 dn_loss_cls: 0.0881 dn_loss_bbox: 0.1608 dn_loss_iou: 0.2257 d0.dn_loss_cls: 0.1752 d0.dn_loss_bbox: 0.3126 d0.dn_loss_iou: 0.3775 d1.dn_loss_cls: 0.1235 d1.dn_loss_bbox: 0.1935 d1.dn_loss_iou: 0.2615 d2.dn_loss_cls: 0.1035 d2.dn_loss_bbox: 0.1726 d2.dn_loss_iou: 0.2370 d3.dn_loss_cls: 0.0922 d3.dn_loss_bbox: 0.1633 d3.dn_loss_iou: 0.2286 d4.dn_loss_cls: 0.0893 d4.dn_loss_bbox: 0.1609 d4.dn_loss_iou: 0.2258 d1.loss_lmm_region: 0.1325 loss_lmm_image: 0.8529 2024/11/03 08:15:41 - mmengine - INFO - Iter(train) [ 68700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:28:08 time: 0.9682 data_time: 0.0181 memory: 21213 grad_norm: 27.8789 loss: 8.8825 loss_cls: 0.2647 loss_bbox: 0.1331 loss_iou: 0.2308 d0.loss_cls: 0.2950 d0.loss_bbox: 0.1441 d0.loss_iou: 0.2489 d1.loss_cls: 0.2821 d1.loss_bbox: 0.1363 d1.loss_iou: 0.2360 d2.loss_cls: 0.2777 d2.loss_bbox: 0.1310 d2.loss_iou: 0.2317 d3.loss_cls: 0.2691 d3.loss_bbox: 0.1325 d3.loss_iou: 0.2320 d4.loss_cls: 0.2658 d4.loss_bbox: 0.1324 d4.loss_iou: 0.2310 enc_loss_cls: 0.3091 enc_loss_bbox: 0.1584 enc_loss_iou: 0.2679 dn_loss_cls: 0.0972 dn_loss_bbox: 0.1638 dn_loss_iou: 0.2021 d0.dn_loss_cls: 0.1725 d0.dn_loss_bbox: 0.3087 d0.dn_loss_iou: 0.3488 d1.dn_loss_cls: 0.1244 d1.dn_loss_bbox: 0.1986 d1.dn_loss_iou: 0.2360 d2.dn_loss_cls: 0.1094 d2.dn_loss_bbox: 0.1738 d2.dn_loss_iou: 0.2110 d3.dn_loss_cls: 0.1000 d3.dn_loss_bbox: 0.1653 d3.dn_loss_iou: 0.2035 d4.dn_loss_cls: 0.0980 d4.dn_loss_bbox: 0.1638 d4.dn_loss_iou: 0.2020 d1.loss_lmm_region: 0.1429 loss_lmm_image: 0.8510 2024/11/03 08:17:20 - mmengine - INFO - Iter(train) [ 68800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:26:27 time: 0.9820 data_time: 0.0180 memory: 22131 grad_norm: 23.7949 loss: 10.1917 loss_cls: 0.2984 loss_bbox: 0.1416 loss_iou: 0.2627 d0.loss_cls: 0.3336 d0.loss_bbox: 0.1523 d0.loss_iou: 0.2734 d1.loss_cls: 0.3160 d1.loss_bbox: 0.1474 d1.loss_iou: 0.2709 d2.loss_cls: 0.3127 d2.loss_bbox: 0.1406 d2.loss_iou: 0.2633 d3.loss_cls: 0.3075 d3.loss_bbox: 0.1418 d3.loss_iou: 0.2632 d4.loss_cls: 0.2989 d4.loss_bbox: 0.1422 d4.loss_iou: 0.2633 enc_loss_cls: 0.3443 enc_loss_bbox: 0.1698 enc_loss_iou: 0.2965 dn_loss_cls: 0.1563 dn_loss_bbox: 0.1872 dn_loss_iou: 0.2429 d0.dn_loss_cls: 0.2215 d0.dn_loss_bbox: 0.3417 d0.dn_loss_iou: 0.3937 d1.dn_loss_cls: 0.1861 d1.dn_loss_bbox: 0.2222 d1.dn_loss_iou: 0.2774 d2.dn_loss_cls: 0.1691 d2.dn_loss_bbox: 0.1944 d2.dn_loss_iou: 0.2517 d3.dn_loss_cls: 0.1835 d3.dn_loss_bbox: 0.1888 d3.dn_loss_iou: 0.2451 d4.dn_loss_cls: 0.1591 d4.dn_loss_bbox: 0.1874 d4.dn_loss_iou: 0.2430 d1.loss_lmm_region: 0.1460 loss_lmm_image: 0.8542 2024/11/03 08:18:57 - mmengine - INFO - Iter(train) [ 68900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:24:45 time: 0.9580 data_time: 0.0181 memory: 20922 grad_norm: 23.3318 loss: 9.2288 loss_cls: 0.2984 loss_bbox: 0.1226 loss_iou: 0.2297 d0.loss_cls: 0.3346 d0.loss_bbox: 0.1453 d0.loss_iou: 0.2502 d1.loss_cls: 0.3177 d1.loss_bbox: 0.1308 d1.loss_iou: 0.2354 d2.loss_cls: 0.3125 d2.loss_bbox: 0.1233 d2.loss_iou: 0.2305 d3.loss_cls: 0.3069 d3.loss_bbox: 0.1217 d3.loss_iou: 0.2293 d4.loss_cls: 0.2982 d4.loss_bbox: 0.1233 d4.loss_iou: 0.2297 enc_loss_cls: 0.3513 enc_loss_bbox: 0.1577 enc_loss_iou: 0.2762 dn_loss_cls: 0.0921 dn_loss_bbox: 0.1757 dn_loss_iou: 0.2166 d0.dn_loss_cls: 0.1786 d0.dn_loss_bbox: 0.3381 d0.dn_loss_iou: 0.3665 d1.dn_loss_cls: 0.1217 d1.dn_loss_bbox: 0.2102 d1.dn_loss_iou: 0.2500 d2.dn_loss_cls: 0.1054 d2.dn_loss_bbox: 0.1847 d2.dn_loss_iou: 0.2253 d3.dn_loss_cls: 0.0949 d3.dn_loss_bbox: 0.1781 d3.dn_loss_iou: 0.2181 d4.dn_loss_cls: 0.0921 d4.dn_loss_bbox: 0.1756 d4.dn_loss_iou: 0.2164 d1.loss_lmm_region: 0.1287 loss_lmm_image: 0.8347 2024/11/03 08:20:34 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 08:20:34 - mmengine - INFO - Iter(train) [ 69000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:23:03 time: 0.9739 data_time: 0.0181 memory: 22456 grad_norm: 22.3454 loss: 10.3406 loss_cls: 0.3091 loss_bbox: 0.1553 loss_iou: 0.2849 d0.loss_cls: 0.3461 d0.loss_bbox: 0.1657 d0.loss_iou: 0.3054 d1.loss_cls: 0.3299 d1.loss_bbox: 0.1618 d1.loss_iou: 0.2966 d2.loss_cls: 0.3224 d2.loss_bbox: 0.1558 d2.loss_iou: 0.2863 d3.loss_cls: 0.3161 d3.loss_bbox: 0.1540 d3.loss_iou: 0.2829 d4.loss_cls: 0.3090 d4.loss_bbox: 0.1557 d4.loss_iou: 0.2847 enc_loss_cls: 0.3584 enc_loss_bbox: 0.1799 enc_loss_iou: 0.3237 dn_loss_cls: 0.1126 dn_loss_bbox: 0.1889 dn_loss_iou: 0.2575 d0.dn_loss_cls: 0.2021 d0.dn_loss_bbox: 0.3524 d0.dn_loss_iou: 0.4094 d1.dn_loss_cls: 0.1477 d1.dn_loss_bbox: 0.2261 d1.dn_loss_iou: 0.2935 d2.dn_loss_cls: 0.1263 d2.dn_loss_bbox: 0.2001 d2.dn_loss_iou: 0.2663 d3.dn_loss_cls: 0.1188 d3.dn_loss_bbox: 0.1910 d3.dn_loss_iou: 0.2591 d4.dn_loss_cls: 0.1134 d4.dn_loss_bbox: 0.1890 d4.dn_loss_iou: 0.2575 d1.loss_lmm_region: 0.1477 loss_lmm_image: 0.7973 2024/11/03 08:22:12 - mmengine - INFO - Iter(train) [ 69100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:21:22 time: 0.9848 data_time: 0.0179 memory: 21424 grad_norm: 19.8185 loss: 9.1590 loss_cls: 0.2642 loss_bbox: 0.1247 loss_iou: 0.2272 d0.loss_cls: 0.2953 d0.loss_bbox: 0.1403 d0.loss_iou: 0.2464 d1.loss_cls: 0.2837 d1.loss_bbox: 0.1278 d1.loss_iou: 0.2302 d2.loss_cls: 0.2797 d2.loss_bbox: 0.1249 d2.loss_iou: 0.2271 d3.loss_cls: 0.2710 d3.loss_bbox: 0.1246 d3.loss_iou: 0.2291 d4.loss_cls: 0.2668 d4.loss_bbox: 0.1236 d4.loss_iou: 0.2272 enc_loss_cls: 0.3068 enc_loss_bbox: 0.1525 enc_loss_iou: 0.2624 dn_loss_cls: 0.0840 dn_loss_bbox: 0.1954 dn_loss_iou: 0.2383 d0.dn_loss_cls: 0.1703 d0.dn_loss_bbox: 0.3585 d0.dn_loss_iou: 0.3934 d1.dn_loss_cls: 0.1169 d1.dn_loss_bbox: 0.2275 d1.dn_loss_iou: 0.2724 d2.dn_loss_cls: 0.0987 d2.dn_loss_bbox: 0.2038 d2.dn_loss_iou: 0.2477 d3.dn_loss_cls: 0.0870 d3.dn_loss_bbox: 0.1974 d3.dn_loss_iou: 0.2402 d4.dn_loss_cls: 0.0836 d4.dn_loss_bbox: 0.1956 d4.dn_loss_iou: 0.2383 d1.loss_lmm_region: 0.1454 loss_lmm_image: 0.8293 2024/11/03 08:23:50 - mmengine - INFO - Iter(train) [ 69200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:19:40 time: 0.9633 data_time: 0.0180 memory: 19562 grad_norm: 23.6136 loss: 9.6475 loss_cls: 0.2909 loss_bbox: 0.1451 loss_iou: 0.2566 d0.loss_cls: 0.3223 d0.loss_bbox: 0.1582 d0.loss_iou: 0.2756 d1.loss_cls: 0.3095 d1.loss_bbox: 0.1487 d1.loss_iou: 0.2633 d2.loss_cls: 0.3005 d2.loss_bbox: 0.1469 d2.loss_iou: 0.2586 d3.loss_cls: 0.2937 d3.loss_bbox: 0.1472 d3.loss_iou: 0.2596 d4.loss_cls: 0.2925 d4.loss_bbox: 0.1448 d4.loss_iou: 0.2569 enc_loss_cls: 0.3347 enc_loss_bbox: 0.1807 enc_loss_iou: 0.2956 dn_loss_cls: 0.0867 dn_loss_bbox: 0.1901 dn_loss_iou: 0.2258 d0.dn_loss_cls: 0.1810 d0.dn_loss_bbox: 0.3579 d0.dn_loss_iou: 0.3784 d1.dn_loss_cls: 0.1254 d1.dn_loss_bbox: 0.2317 d1.dn_loss_iou: 0.2617 d2.dn_loss_cls: 0.1031 d2.dn_loss_bbox: 0.2002 d2.dn_loss_iou: 0.2344 d3.dn_loss_cls: 0.0926 d3.dn_loss_bbox: 0.1922 d3.dn_loss_iou: 0.2275 d4.dn_loss_cls: 0.0866 d4.dn_loss_bbox: 0.1902 d4.dn_loss_iou: 0.2257 d1.loss_lmm_region: 0.1320 loss_lmm_image: 0.8424 2024/11/03 08:25:27 - mmengine - INFO - Iter(train) [ 69300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:17:59 time: 0.9790 data_time: 0.0179 memory: 21186 grad_norm: 22.0281 loss: 9.7620 loss_cls: 0.3133 loss_bbox: 0.1462 loss_iou: 0.2619 d0.loss_cls: 0.3458 d0.loss_bbox: 0.1629 d0.loss_iou: 0.2770 d1.loss_cls: 0.3238 d1.loss_bbox: 0.1566 d1.loss_iou: 0.2668 d2.loss_cls: 0.3200 d2.loss_bbox: 0.1533 d2.loss_iou: 0.2656 d3.loss_cls: 0.3182 d3.loss_bbox: 0.1473 d3.loss_iou: 0.2623 d4.loss_cls: 0.3107 d4.loss_bbox: 0.1512 d4.loss_iou: 0.2646 enc_loss_cls: 0.3536 enc_loss_bbox: 0.1780 enc_loss_iou: 0.3004 dn_loss_cls: 0.0953 dn_loss_bbox: 0.1775 dn_loss_iou: 0.2160 d0.dn_loss_cls: 0.1832 d0.dn_loss_bbox: 0.3337 d0.dn_loss_iou: 0.3625 d1.dn_loss_cls: 0.1309 d1.dn_loss_bbox: 0.2150 d1.dn_loss_iou: 0.2512 d2.dn_loss_cls: 0.1183 d2.dn_loss_bbox: 0.1873 d2.dn_loss_iou: 0.2254 d3.dn_loss_cls: 0.1019 d3.dn_loss_bbox: 0.1791 d3.dn_loss_iou: 0.2179 d4.dn_loss_cls: 0.0968 d4.dn_loss_bbox: 0.1775 d4.dn_loss_iou: 0.2159 d1.loss_lmm_region: 0.1399 loss_lmm_image: 0.8570 2024/11/03 08:27:04 - mmengine - INFO - Iter(train) [ 69400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:16:16 time: 0.9718 data_time: 0.0180 memory: 21150 grad_norm: 20.8162 loss: 9.1325 loss_cls: 0.2885 loss_bbox: 0.1249 loss_iou: 0.2456 d0.loss_cls: 0.3276 d0.loss_bbox: 0.1373 d0.loss_iou: 0.2658 d1.loss_cls: 0.3081 d1.loss_bbox: 0.1293 d1.loss_iou: 0.2551 d2.loss_cls: 0.3002 d2.loss_bbox: 0.1256 d2.loss_iou: 0.2462 d3.loss_cls: 0.2916 d3.loss_bbox: 0.1272 d3.loss_iou: 0.2462 d4.loss_cls: 0.2876 d4.loss_bbox: 0.1252 d4.loss_iou: 0.2455 enc_loss_cls: 0.3380 enc_loss_bbox: 0.1556 enc_loss_iou: 0.2912 dn_loss_cls: 0.0836 dn_loss_bbox: 0.1517 dn_loss_iou: 0.2211 d0.dn_loss_cls: 0.1708 d0.dn_loss_bbox: 0.2979 d0.dn_loss_iou: 0.3768 d1.dn_loss_cls: 0.1156 d1.dn_loss_bbox: 0.1866 d1.dn_loss_iou: 0.2572 d2.dn_loss_cls: 0.1002 d2.dn_loss_bbox: 0.1620 d2.dn_loss_iou: 0.2311 d3.dn_loss_cls: 0.0890 d3.dn_loss_bbox: 0.1536 d3.dn_loss_iou: 0.2227 d4.dn_loss_cls: 0.0853 d4.dn_loss_bbox: 0.1517 d4.dn_loss_iou: 0.2208 d1.loss_lmm_region: 0.1370 loss_lmm_image: 0.8559 2024/11/03 08:28:42 - mmengine - INFO - Iter(train) [ 69500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:14:35 time: 0.9860 data_time: 0.0185 memory: 21326 grad_norm: 24.8563 loss: 9.7826 loss_cls: 0.2659 loss_bbox: 0.1478 loss_iou: 0.2206 d0.loss_cls: 0.2906 d0.loss_bbox: 0.1661 d0.loss_iou: 0.2408 d1.loss_cls: 0.2804 d1.loss_bbox: 0.1562 d1.loss_iou: 0.2278 d2.loss_cls: 0.2764 d2.loss_bbox: 0.1499 d2.loss_iou: 0.2221 d3.loss_cls: 0.2722 d3.loss_bbox: 0.1466 d3.loss_iou: 0.2197 d4.loss_cls: 0.2669 d4.loss_bbox: 0.1491 d4.loss_iou: 0.2216 enc_loss_cls: 0.3056 enc_loss_bbox: 0.1729 enc_loss_iou: 0.2517 dn_loss_cls: 0.1188 dn_loss_bbox: 0.2312 dn_loss_iou: 0.2386 d0.dn_loss_cls: 0.1913 d0.dn_loss_bbox: 0.4133 d0.dn_loss_iou: 0.3933 d1.dn_loss_cls: 0.1450 d1.dn_loss_bbox: 0.2720 d1.dn_loss_iou: 0.2734 d2.dn_loss_cls: 0.1295 d2.dn_loss_bbox: 0.2421 d2.dn_loss_iou: 0.2472 d3.dn_loss_cls: 0.1228 d3.dn_loss_bbox: 0.2324 d3.dn_loss_iou: 0.2400 d4.dn_loss_cls: 0.1188 d4.dn_loss_bbox: 0.2311 d4.dn_loss_iou: 0.2387 d1.loss_lmm_region: 0.1549 loss_lmm_image: 0.8972 2024/11/03 08:30:19 - mmengine - INFO - Iter(train) [ 69600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:12:52 time: 0.9725 data_time: 0.0180 memory: 20183 grad_norm: 22.3156 loss: 10.2803 loss_cls: 0.3217 loss_bbox: 0.1631 loss_iou: 0.3002 d0.loss_cls: 0.3527 d0.loss_bbox: 0.1793 d0.loss_iou: 0.3217 d1.loss_cls: 0.3337 d1.loss_bbox: 0.1739 d1.loss_iou: 0.3092 d2.loss_cls: 0.3276 d2.loss_bbox: 0.1676 d2.loss_iou: 0.3048 d3.loss_cls: 0.3233 d3.loss_bbox: 0.1640 d3.loss_iou: 0.3031 d4.loss_cls: 0.3215 d4.loss_bbox: 0.1634 d4.loss_iou: 0.3014 enc_loss_cls: 0.3754 enc_loss_bbox: 0.1924 enc_loss_iou: 0.3380 dn_loss_cls: 0.0865 dn_loss_bbox: 0.1794 dn_loss_iou: 0.2482 d0.dn_loss_cls: 0.1667 d0.dn_loss_bbox: 0.3248 d0.dn_loss_iou: 0.3945 d1.dn_loss_cls: 0.1157 d1.dn_loss_bbox: 0.2159 d1.dn_loss_iou: 0.2800 d2.dn_loss_cls: 0.1011 d2.dn_loss_bbox: 0.1896 d2.dn_loss_iou: 0.2570 d3.dn_loss_cls: 0.0914 d3.dn_loss_bbox: 0.1822 d3.dn_loss_iou: 0.2495 d4.dn_loss_cls: 0.0875 d4.dn_loss_bbox: 0.1795 d4.dn_loss_iou: 0.2481 d1.loss_lmm_region: 0.1310 loss_lmm_image: 0.8137 2024/11/03 08:31:55 - mmengine - INFO - Iter(train) [ 69700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:11:09 time: 0.9634 data_time: 0.0179 memory: 20942 grad_norm: nan loss: 9.3278 loss_cls: 0.2822 loss_bbox: 0.1356 loss_iou: 0.2485 d0.loss_cls: 0.3122 d0.loss_bbox: 0.1571 d0.loss_iou: 0.2724 d1.loss_cls: 0.2991 d1.loss_bbox: 0.1422 d1.loss_iou: 0.2603 d2.loss_cls: 0.2918 d2.loss_bbox: 0.1363 d2.loss_iou: 0.2523 d3.loss_cls: 0.2840 d3.loss_bbox: 0.1365 d3.loss_iou: 0.2522 d4.loss_cls: 0.2835 d4.loss_bbox: 0.1363 d4.loss_iou: 0.2496 enc_loss_cls: 0.3225 enc_loss_bbox: 0.1740 enc_loss_iou: 0.2953 dn_loss_cls: 0.0834 dn_loss_bbox: 0.1738 dn_loss_iou: 0.2246 d0.dn_loss_cls: 0.1670 d0.dn_loss_bbox: 0.3344 d0.dn_loss_iou: 0.3790 d1.dn_loss_cls: 0.1142 d1.dn_loss_bbox: 0.2109 d1.dn_loss_iou: 0.2602 d2.dn_loss_cls: 0.0997 d2.dn_loss_bbox: 0.1852 d2.dn_loss_iou: 0.2345 d3.dn_loss_cls: 0.0899 d3.dn_loss_bbox: 0.1753 d3.dn_loss_iou: 0.2263 d4.dn_loss_cls: 0.0840 d4.dn_loss_bbox: 0.1740 d4.dn_loss_iou: 0.2246 d1.loss_lmm_region: 0.1505 loss_lmm_image: 0.8123 2024/11/03 08:32:26 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 08:32:26 - mmengine - WARNING - Reach the end of the dataloader, it will be restarted and continue to iterate. It is recommended to use `mmengine.dataset.InfiniteSampler` to enable the dataloader to iterate infinitely. 2024/11/03 08:33:35 - mmengine - INFO - Iter(train) [ 69800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:09:30 time: 0.9675 data_time: 0.0180 memory: 21397 grad_norm: 22.3123 loss: 10.3156 loss_cls: 0.3382 loss_bbox: 0.1505 loss_iou: 0.3136 d0.loss_cls: 0.3769 d0.loss_bbox: 0.1730 d0.loss_iou: 0.3359 d1.loss_cls: 0.3634 d1.loss_bbox: 0.1602 d1.loss_iou: 0.3195 d2.loss_cls: 0.3538 d2.loss_bbox: 0.1542 d2.loss_iou: 0.3171 d3.loss_cls: 0.3441 d3.loss_bbox: 0.1535 d3.loss_iou: 0.3168 d4.loss_cls: 0.3410 d4.loss_bbox: 0.1504 d4.loss_iou: 0.3129 enc_loss_cls: 0.3923 enc_loss_bbox: 0.1806 enc_loss_iou: 0.3574 dn_loss_cls: 0.0882 dn_loss_bbox: 0.1631 dn_loss_iou: 0.2238 d0.dn_loss_cls: 0.1737 d0.dn_loss_bbox: 0.3296 d0.dn_loss_iou: 0.3810 d1.dn_loss_cls: 0.1204 d1.dn_loss_bbox: 0.1999 d1.dn_loss_iou: 0.2589 d2.dn_loss_cls: 0.1022 d2.dn_loss_bbox: 0.1720 d2.dn_loss_iou: 0.2321 d3.dn_loss_cls: 0.0955 d3.dn_loss_bbox: 0.1647 d3.dn_loss_iou: 0.2251 d4.dn_loss_cls: 0.0900 d4.dn_loss_bbox: 0.1633 d4.dn_loss_iou: 0.2236 d1.loss_lmm_region: 0.1538 loss_lmm_image: 0.8495 2024/11/03 08:35:12 - mmengine - INFO - Iter(train) [ 69900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:07:48 time: 0.9645 data_time: 0.0181 memory: 21163 grad_norm: 22.0548 loss: 9.5895 loss_cls: 0.2903 loss_bbox: 0.1475 loss_iou: 0.2988 d0.loss_cls: 0.3243 d0.loss_bbox: 0.1648 d0.loss_iou: 0.3156 d1.loss_cls: 0.3088 d1.loss_bbox: 0.1520 d1.loss_iou: 0.3026 d2.loss_cls: 0.3017 d2.loss_bbox: 0.1503 d2.loss_iou: 0.2980 d3.loss_cls: 0.2979 d3.loss_bbox: 0.1492 d3.loss_iou: 0.2968 d4.loss_cls: 0.2934 d4.loss_bbox: 0.1465 d4.loss_iou: 0.2957 enc_loss_cls: 0.3400 enc_loss_bbox: 0.1771 enc_loss_iou: 0.3360 dn_loss_cls: 0.0750 dn_loss_bbox: 0.1673 dn_loss_iou: 0.2287 d0.dn_loss_cls: 0.1604 d0.dn_loss_bbox: 0.3028 d0.dn_loss_iou: 0.3707 d1.dn_loss_cls: 0.1059 d1.dn_loss_bbox: 0.2005 d1.dn_loss_iou: 0.2604 d2.dn_loss_cls: 0.0880 d2.dn_loss_bbox: 0.1754 d2.dn_loss_iou: 0.2366 d3.dn_loss_cls: 0.0796 d3.dn_loss_bbox: 0.1684 d3.dn_loss_iou: 0.2299 d4.dn_loss_cls: 0.0752 d4.dn_loss_bbox: 0.1672 d4.dn_loss_iou: 0.2286 d1.loss_lmm_region: 0.1141 loss_lmm_image: 0.7675 2024/11/03 08:36:50 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 08:36:50 - mmengine - INFO - Iter(train) [ 70000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:06:06 time: 0.9770 data_time: 0.0181 memory: 21001 grad_norm: 22.3964 loss: 10.0524 loss_cls: 0.3101 loss_bbox: 0.1607 loss_iou: 0.3061 d0.loss_cls: 0.3467 d0.loss_bbox: 0.1772 d0.loss_iou: 0.3244 d1.loss_cls: 0.3278 d1.loss_bbox: 0.1704 d1.loss_iou: 0.3122 d2.loss_cls: 0.3225 d2.loss_bbox: 0.1608 d2.loss_iou: 0.3068 d3.loss_cls: 0.3156 d3.loss_bbox: 0.1596 d3.loss_iou: 0.3057 d4.loss_cls: 0.3153 d4.loss_bbox: 0.1588 d4.loss_iou: 0.3035 enc_loss_cls: 0.3601 enc_loss_bbox: 0.1907 enc_loss_iou: 0.3491 dn_loss_cls: 0.0984 dn_loss_bbox: 0.1578 dn_loss_iou: 0.2293 d0.dn_loss_cls: 0.1666 d0.dn_loss_bbox: 0.3175 d0.dn_loss_iou: 0.3911 d1.dn_loss_cls: 0.1196 d1.dn_loss_bbox: 0.1923 d1.dn_loss_iou: 0.2650 d2.dn_loss_cls: 0.1051 d2.dn_loss_bbox: 0.1679 d2.dn_loss_iou: 0.2398 d3.dn_loss_cls: 0.1008 d3.dn_loss_bbox: 0.1593 d3.dn_loss_iou: 0.2308 d4.dn_loss_cls: 0.0996 d4.dn_loss_bbox: 0.1579 d4.dn_loss_iou: 0.2292 d1.loss_lmm_region: 0.1158 loss_lmm_image: 0.8244 2024/11/03 08:38:27 - mmengine - INFO - Iter(train) [ 70100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:04:25 time: 0.9674 data_time: 0.0183 memory: 20640 grad_norm: 22.7737 loss: 10.7158 loss_cls: 0.3583 loss_bbox: 0.1774 loss_iou: 0.3329 d0.loss_cls: 0.4115 d0.loss_bbox: 0.1870 d0.loss_iou: 0.3530 d1.loss_cls: 0.3842 d1.loss_bbox: 0.1855 d1.loss_iou: 0.3407 d2.loss_cls: 0.3826 d2.loss_bbox: 0.1724 d2.loss_iou: 0.3295 d3.loss_cls: 0.3688 d3.loss_bbox: 0.1743 d3.loss_iou: 0.3309 d4.loss_cls: 0.3614 d4.loss_bbox: 0.1790 d4.loss_iou: 0.3331 enc_loss_cls: 0.4252 enc_loss_bbox: 0.2020 enc_loss_iou: 0.3747 dn_loss_cls: 0.0855 dn_loss_bbox: 0.1675 dn_loss_iou: 0.2283 d0.dn_loss_cls: 0.1696 d0.dn_loss_bbox: 0.2933 d0.dn_loss_iou: 0.3664 d1.dn_loss_cls: 0.1148 d1.dn_loss_bbox: 0.1922 d1.dn_loss_iou: 0.2575 d2.dn_loss_cls: 0.0997 d2.dn_loss_bbox: 0.1733 d2.dn_loss_iou: 0.2353 d3.dn_loss_cls: 0.0893 d3.dn_loss_bbox: 0.1685 d3.dn_loss_iou: 0.2293 d4.dn_loss_cls: 0.0863 d4.dn_loss_bbox: 0.1674 d4.dn_loss_iou: 0.2283 d1.loss_lmm_region: 0.1411 loss_lmm_image: 0.8577 2024/11/03 08:40:05 - mmengine - INFO - Iter(train) [ 70200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:02:43 time: 0.9784 data_time: 0.0181 memory: 21369 grad_norm: 23.7845 loss: 9.0574 loss_cls: 0.2821 loss_bbox: 0.1377 loss_iou: 0.2705 d0.loss_cls: 0.3195 d0.loss_bbox: 0.1461 d0.loss_iou: 0.2882 d1.loss_cls: 0.3060 d1.loss_bbox: 0.1383 d1.loss_iou: 0.2737 d2.loss_cls: 0.2924 d2.loss_bbox: 0.1354 d2.loss_iou: 0.2711 d3.loss_cls: 0.2857 d3.loss_bbox: 0.1374 d3.loss_iou: 0.2720 d4.loss_cls: 0.2822 d4.loss_bbox: 0.1381 d4.loss_iou: 0.2712 enc_loss_cls: 0.3356 enc_loss_bbox: 0.1598 enc_loss_iou: 0.3065 dn_loss_cls: 0.0710 dn_loss_bbox: 0.1369 dn_loss_iou: 0.2035 d0.dn_loss_cls: 0.1522 d0.dn_loss_bbox: 0.3100 d0.dn_loss_iou: 0.3634 d1.dn_loss_cls: 0.1014 d1.dn_loss_bbox: 0.1734 d1.dn_loss_iou: 0.2398 d2.dn_loss_cls: 0.0841 d2.dn_loss_bbox: 0.1453 d2.dn_loss_iou: 0.2117 d3.dn_loss_cls: 0.0755 d3.dn_loss_bbox: 0.1379 d3.dn_loss_iou: 0.2046 d4.dn_loss_cls: 0.0714 d4.dn_loss_bbox: 0.1369 d4.dn_loss_iou: 0.2035 d1.loss_lmm_region: 0.1284 loss_lmm_image: 0.8567 2024/11/03 08:41:43 - mmengine - INFO - Iter(train) [ 70300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:01:02 time: 0.9706 data_time: 0.0181 memory: 20949 grad_norm: 21.9713 loss: 10.4821 loss_cls: 0.3502 loss_bbox: 0.1678 loss_iou: 0.2844 d0.loss_cls: 0.3902 d0.loss_bbox: 0.1801 d0.loss_iou: 0.3026 d1.loss_cls: 0.3736 d1.loss_bbox: 0.1693 d1.loss_iou: 0.2899 d2.loss_cls: 0.3631 d2.loss_bbox: 0.1642 d2.loss_iou: 0.2839 d3.loss_cls: 0.3538 d3.loss_bbox: 0.1669 d3.loss_iou: 0.2846 d4.loss_cls: 0.3536 d4.loss_bbox: 0.1664 d4.loss_iou: 0.2833 enc_loss_cls: 0.4106 enc_loss_bbox: 0.1975 enc_loss_iou: 0.3242 dn_loss_cls: 0.0874 dn_loss_bbox: 0.1918 dn_loss_iou: 0.2341 d0.dn_loss_cls: 0.1767 d0.dn_loss_bbox: 0.3559 d0.dn_loss_iou: 0.3886 d1.dn_loss_cls: 0.1234 d1.dn_loss_bbox: 0.2298 d1.dn_loss_iou: 0.2686 d2.dn_loss_cls: 0.1062 d2.dn_loss_bbox: 0.2019 d2.dn_loss_iou: 0.2437 d3.dn_loss_cls: 0.0944 d3.dn_loss_bbox: 0.1932 d3.dn_loss_iou: 0.2355 d4.dn_loss_cls: 0.0887 d4.dn_loss_bbox: 0.1917 d4.dn_loss_iou: 0.2342 d1.loss_lmm_region: 0.1508 loss_lmm_image: 0.8251 2024/11/03 08:43:20 - mmengine - INFO - Iter(train) [ 70400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:59:20 time: 0.9741 data_time: 0.0182 memory: 21271 grad_norm: 24.6335 loss: 9.1035 loss_cls: 0.2828 loss_bbox: 0.1215 loss_iou: 0.2495 d0.loss_cls: 0.3099 d0.loss_bbox: 0.1396 d0.loss_iou: 0.2694 d1.loss_cls: 0.2950 d1.loss_bbox: 0.1286 d1.loss_iou: 0.2572 d2.loss_cls: 0.2910 d2.loss_bbox: 0.1256 d2.loss_iou: 0.2527 d3.loss_cls: 0.2856 d3.loss_bbox: 0.1228 d3.loss_iou: 0.2497 d4.loss_cls: 0.2838 d4.loss_bbox: 0.1222 d4.loss_iou: 0.2497 enc_loss_cls: 0.3235 enc_loss_bbox: 0.1495 enc_loss_iou: 0.2882 dn_loss_cls: 0.0850 dn_loss_bbox: 0.1793 dn_loss_iou: 0.2193 d0.dn_loss_cls: 0.1653 d0.dn_loss_bbox: 0.3281 d0.dn_loss_iou: 0.3665 d1.dn_loss_cls: 0.1132 d1.dn_loss_bbox: 0.2141 d1.dn_loss_iou: 0.2553 d2.dn_loss_cls: 0.0986 d2.dn_loss_bbox: 0.1880 d2.dn_loss_iou: 0.2282 d3.dn_loss_cls: 0.0901 d3.dn_loss_bbox: 0.1813 d3.dn_loss_iou: 0.2209 d4.dn_loss_cls: 0.0852 d4.dn_loss_bbox: 0.1794 d4.dn_loss_iou: 0.2193 d1.loss_lmm_region: 0.1215 loss_lmm_image: 0.7672 2024/11/03 08:44:57 - mmengine - INFO - Iter(train) [ 70500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:57:38 time: 0.9755 data_time: 0.0181 memory: 20410 grad_norm: 23.7125 loss: 10.8601 loss_cls: 0.3439 loss_bbox: 0.1782 loss_iou: 0.2984 d0.loss_cls: 0.3965 d0.loss_bbox: 0.1845 d0.loss_iou: 0.3182 d1.loss_cls: 0.3651 d1.loss_bbox: 0.1794 d1.loss_iou: 0.3053 d2.loss_cls: 0.3536 d2.loss_bbox: 0.1793 d2.loss_iou: 0.3020 d3.loss_cls: 0.3528 d3.loss_bbox: 0.1762 d3.loss_iou: 0.2965 d4.loss_cls: 0.3456 d4.loss_bbox: 0.1770 d4.loss_iou: 0.2964 enc_loss_cls: 0.4121 enc_loss_bbox: 0.2043 enc_loss_iou: 0.3416 dn_loss_cls: 0.1010 dn_loss_bbox: 0.1954 dn_loss_iou: 0.2506 d0.dn_loss_cls: 0.1978 d0.dn_loss_bbox: 0.3739 d0.dn_loss_iou: 0.4181 d1.dn_loss_cls: 0.1358 d1.dn_loss_bbox: 0.2374 d1.dn_loss_iou: 0.2902 d2.dn_loss_cls: 0.1183 d2.dn_loss_bbox: 0.2075 d2.dn_loss_iou: 0.2615 d3.dn_loss_cls: 0.1052 d3.dn_loss_bbox: 0.1971 d3.dn_loss_iou: 0.2523 d4.dn_loss_cls: 0.1010 d4.dn_loss_bbox: 0.1954 d4.dn_loss_iou: 0.2504 d1.loss_lmm_region: 0.1514 loss_lmm_image: 0.8130 2024/11/03 08:46:34 - mmengine - INFO - Iter(train) [ 70600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:55:56 time: 0.9611 data_time: 0.0181 memory: 19616 grad_norm: 22.9192 loss: 8.7280 loss_cls: 0.2755 loss_bbox: 0.1178 loss_iou: 0.2311 d0.loss_cls: 0.3025 d0.loss_bbox: 0.1291 d0.loss_iou: 0.2448 d1.loss_cls: 0.2912 d1.loss_bbox: 0.1222 d1.loss_iou: 0.2354 d2.loss_cls: 0.2854 d2.loss_bbox: 0.1182 d2.loss_iou: 0.2306 d3.loss_cls: 0.2782 d3.loss_bbox: 0.1199 d3.loss_iou: 0.2325 d4.loss_cls: 0.2787 d4.loss_bbox: 0.1166 d4.loss_iou: 0.2287 enc_loss_cls: 0.3147 enc_loss_bbox: 0.1445 enc_loss_iou: 0.2654 dn_loss_cls: 0.0882 dn_loss_bbox: 0.1507 dn_loss_iou: 0.2068 d0.dn_loss_cls: 0.1631 d0.dn_loss_bbox: 0.3116 d0.dn_loss_iou: 0.3553 d1.dn_loss_cls: 0.1127 d1.dn_loss_bbox: 0.1821 d1.dn_loss_iou: 0.2375 d2.dn_loss_cls: 0.0996 d2.dn_loss_bbox: 0.1606 d2.dn_loss_iou: 0.2157 d3.dn_loss_cls: 0.0901 d3.dn_loss_bbox: 0.1517 d3.dn_loss_iou: 0.2082 d4.dn_loss_cls: 0.0896 d4.dn_loss_bbox: 0.1507 d4.dn_loss_iou: 0.2067 d1.loss_lmm_region: 0.1264 loss_lmm_image: 0.8579 2024/11/03 08:48:11 - mmengine - INFO - Iter(train) [ 70700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:54:13 time: 0.9705 data_time: 0.0182 memory: 20709 grad_norm: 20.5645 loss: 9.6621 loss_cls: 0.3006 loss_bbox: 0.1504 loss_iou: 0.2723 d0.loss_cls: 0.3488 d0.loss_bbox: 0.1640 d0.loss_iou: 0.2931 d1.loss_cls: 0.3281 d1.loss_bbox: 0.1548 d1.loss_iou: 0.2820 d2.loss_cls: 0.3216 d2.loss_bbox: 0.1456 d2.loss_iou: 0.2720 d3.loss_cls: 0.3108 d3.loss_bbox: 0.1488 d3.loss_iou: 0.2715 d4.loss_cls: 0.3015 d4.loss_bbox: 0.1503 d4.loss_iou: 0.2727 enc_loss_cls: 0.3667 enc_loss_bbox: 0.1798 enc_loss_iou: 0.3121 dn_loss_cls: 0.0956 dn_loss_bbox: 0.1488 dn_loss_iou: 0.2166 d0.dn_loss_cls: 0.1882 d0.dn_loss_bbox: 0.2998 d0.dn_loss_iou: 0.3671 d1.dn_loss_cls: 0.1319 d1.dn_loss_bbox: 0.1829 d1.dn_loss_iou: 0.2520 d2.dn_loss_cls: 0.1137 d2.dn_loss_bbox: 0.1568 d2.dn_loss_iou: 0.2255 d3.dn_loss_cls: 0.1030 d3.dn_loss_bbox: 0.1495 d3.dn_loss_iou: 0.2182 d4.dn_loss_cls: 0.0965 d4.dn_loss_bbox: 0.1488 d4.dn_loss_iou: 0.2165 d1.loss_lmm_region: 0.1482 loss_lmm_image: 0.8548 2024/11/03 08:49:48 - mmengine - INFO - Iter(train) [ 70800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:52:30 time: 0.9612 data_time: 0.0182 memory: 20734 grad_norm: 24.1427 loss: 10.3158 loss_cls: 0.3230 loss_bbox: 0.1608 loss_iou: 0.2860 d0.loss_cls: 0.3630 d0.loss_bbox: 0.1830 d0.loss_iou: 0.3105 d1.loss_cls: 0.3408 d1.loss_bbox: 0.1692 d1.loss_iou: 0.2966 d2.loss_cls: 0.3320 d2.loss_bbox: 0.1674 d2.loss_iou: 0.2918 d3.loss_cls: 0.3297 d3.loss_bbox: 0.1622 d3.loss_iou: 0.2878 d4.loss_cls: 0.3238 d4.loss_bbox: 0.1595 d4.loss_iou: 0.2860 enc_loss_cls: 0.3735 enc_loss_bbox: 0.1954 enc_loss_iou: 0.3336 dn_loss_cls: 0.0824 dn_loss_bbox: 0.1907 dn_loss_iou: 0.2447 d0.dn_loss_cls: 0.1732 d0.dn_loss_bbox: 0.3618 d0.dn_loss_iou: 0.4067 d1.dn_loss_cls: 0.1170 d1.dn_loss_bbox: 0.2300 d1.dn_loss_iou: 0.2810 d2.dn_loss_cls: 0.0991 d2.dn_loss_bbox: 0.2015 d2.dn_loss_iou: 0.2539 d3.dn_loss_cls: 0.0902 d3.dn_loss_bbox: 0.1925 d3.dn_loss_iou: 0.2465 d4.dn_loss_cls: 0.0833 d4.dn_loss_bbox: 0.1907 d4.dn_loss_iou: 0.2446 d1.loss_lmm_region: 0.1575 loss_lmm_image: 0.7929 2024/11/03 08:51:25 - mmengine - INFO - Iter(train) [ 70900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:50:49 time: 0.9796 data_time: 0.0182 memory: 21204 grad_norm: 20.7538 loss: 9.9609 loss_cls: 0.3228 loss_bbox: 0.1561 loss_iou: 0.2877 d0.loss_cls: 0.3609 d0.loss_bbox: 0.1705 d0.loss_iou: 0.3127 d1.loss_cls: 0.3382 d1.loss_bbox: 0.1605 d1.loss_iou: 0.2966 d2.loss_cls: 0.3330 d2.loss_bbox: 0.1580 d2.loss_iou: 0.2908 d3.loss_cls: 0.3218 d3.loss_bbox: 0.1612 d3.loss_iou: 0.2889 d4.loss_cls: 0.3225 d4.loss_bbox: 0.1540 d4.loss_iou: 0.2863 enc_loss_cls: 0.3706 enc_loss_bbox: 0.1767 enc_loss_iou: 0.3323 dn_loss_cls: 0.0916 dn_loss_bbox: 0.1652 dn_loss_iou: 0.2214 d0.dn_loss_cls: 0.1811 d0.dn_loss_bbox: 0.3033 d0.dn_loss_iou: 0.3697 d1.dn_loss_cls: 0.1218 d1.dn_loss_bbox: 0.1984 d1.dn_loss_iou: 0.2573 d2.dn_loss_cls: 0.1051 d2.dn_loss_bbox: 0.1740 d2.dn_loss_iou: 0.2311 d3.dn_loss_cls: 0.0951 d3.dn_loss_bbox: 0.1671 d3.dn_loss_iou: 0.2231 d4.dn_loss_cls: 0.0904 d4.dn_loss_bbox: 0.1652 d4.dn_loss_iou: 0.2213 d1.loss_lmm_region: 0.1445 loss_lmm_image: 0.8319 2024/11/03 08:53:02 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 08:53:02 - mmengine - INFO - Iter(train) [ 71000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:49:06 time: 0.9644 data_time: 0.0182 memory: 20955 grad_norm: 23.0588 loss: 9.1329 loss_cls: 0.2769 loss_bbox: 0.1343 loss_iou: 0.2729 d0.loss_cls: 0.3112 d0.loss_bbox: 0.1510 d0.loss_iou: 0.2900 d1.loss_cls: 0.2979 d1.loss_bbox: 0.1366 d1.loss_iou: 0.2754 d2.loss_cls: 0.2855 d2.loss_bbox: 0.1350 d2.loss_iou: 0.2741 d3.loss_cls: 0.2802 d3.loss_bbox: 0.1351 d3.loss_iou: 0.2731 d4.loss_cls: 0.2744 d4.loss_bbox: 0.1357 d4.loss_iou: 0.2749 enc_loss_cls: 0.3268 enc_loss_bbox: 0.1731 enc_loss_iou: 0.3180 dn_loss_cls: 0.0725 dn_loss_bbox: 0.1599 dn_loss_iou: 0.2112 d0.dn_loss_cls: 0.1502 d0.dn_loss_bbox: 0.3236 d0.dn_loss_iou: 0.3667 d1.dn_loss_cls: 0.0983 d1.dn_loss_bbox: 0.1923 d1.dn_loss_iou: 0.2464 d2.dn_loss_cls: 0.0838 d2.dn_loss_bbox: 0.1679 d2.dn_loss_iou: 0.2197 d3.dn_loss_cls: 0.0754 d3.dn_loss_bbox: 0.1601 d3.dn_loss_iou: 0.2122 d4.dn_loss_cls: 0.0721 d4.dn_loss_bbox: 0.1599 d4.dn_loss_iou: 0.2111 d1.loss_lmm_region: 0.1310 loss_lmm_image: 0.7867 2024/11/03 08:54:39 - mmengine - INFO - Iter(train) [ 71100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:47:25 time: 0.9770 data_time: 0.0181 memory: 19910 grad_norm: 20.9483 loss: 10.2964 loss_cls: 0.3321 loss_bbox: 0.1637 loss_iou: 0.3049 d0.loss_cls: 0.3703 d0.loss_bbox: 0.1696 d0.loss_iou: 0.3112 d1.loss_cls: 0.3556 d1.loss_bbox: 0.1587 d1.loss_iou: 0.3029 d2.loss_cls: 0.3515 d2.loss_bbox: 0.1556 d2.loss_iou: 0.3016 d3.loss_cls: 0.3441 d3.loss_bbox: 0.1596 d3.loss_iou: 0.3013 d4.loss_cls: 0.3361 d4.loss_bbox: 0.1633 d4.loss_iou: 0.3034 enc_loss_cls: 0.3841 enc_loss_bbox: 0.1827 enc_loss_iou: 0.3397 dn_loss_cls: 0.0930 dn_loss_bbox: 0.1761 dn_loss_iou: 0.2443 d0.dn_loss_cls: 0.1727 d0.dn_loss_bbox: 0.3187 d0.dn_loss_iou: 0.3905 d1.dn_loss_cls: 0.1245 d1.dn_loss_bbox: 0.2063 d1.dn_loss_iou: 0.2789 d2.dn_loss_cls: 0.1084 d2.dn_loss_bbox: 0.1859 d2.dn_loss_iou: 0.2541 d3.dn_loss_cls: 0.0952 d3.dn_loss_bbox: 0.1779 d3.dn_loss_iou: 0.2458 d4.dn_loss_cls: 0.0931 d4.dn_loss_bbox: 0.1761 d4.dn_loss_iou: 0.2441 d1.loss_lmm_region: 0.1402 loss_lmm_image: 0.7789 2024/11/03 08:56:16 - mmengine - INFO - Iter(train) [ 71200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:45:43 time: 0.9731 data_time: 0.0184 memory: 21911 grad_norm: 27.3057 loss: 8.7354 loss_cls: 0.2700 loss_bbox: 0.1288 loss_iou: 0.2263 d0.loss_cls: 0.3017 d0.loss_bbox: 0.1446 d0.loss_iou: 0.2454 d1.loss_cls: 0.2889 d1.loss_bbox: 0.1339 d1.loss_iou: 0.2317 d2.loss_cls: 0.2773 d2.loss_bbox: 0.1309 d2.loss_iou: 0.2298 d3.loss_cls: 0.2729 d3.loss_bbox: 0.1278 d3.loss_iou: 0.2248 d4.loss_cls: 0.2705 d4.loss_bbox: 0.1288 d4.loss_iou: 0.2258 enc_loss_cls: 0.3174 enc_loss_bbox: 0.1569 enc_loss_iou: 0.2637 dn_loss_cls: 0.0793 dn_loss_bbox: 0.1585 dn_loss_iou: 0.2052 d0.dn_loss_cls: 0.1668 d0.dn_loss_bbox: 0.3052 d0.dn_loss_iou: 0.3530 d1.dn_loss_cls: 0.1158 d1.dn_loss_bbox: 0.1899 d1.dn_loss_iou: 0.2363 d2.dn_loss_cls: 0.0968 d2.dn_loss_bbox: 0.1649 d2.dn_loss_iou: 0.2132 d3.dn_loss_cls: 0.0877 d3.dn_loss_bbox: 0.1593 d3.dn_loss_iou: 0.2062 d4.dn_loss_cls: 0.0806 d4.dn_loss_bbox: 0.1583 d4.dn_loss_iou: 0.2051 d1.loss_lmm_region: 0.1355 loss_lmm_image: 0.8200 2024/11/03 08:57:53 - mmengine - INFO - Iter(train) [ 71300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:44:01 time: 0.9671 data_time: 0.0181 memory: 19504 grad_norm: 21.6689 loss: 8.2806 loss_cls: 0.2238 loss_bbox: 0.1263 loss_iou: 0.2250 d0.loss_cls: 0.2569 d0.loss_bbox: 0.1473 d0.loss_iou: 0.2428 d1.loss_cls: 0.2458 d1.loss_bbox: 0.1369 d1.loss_iou: 0.2294 d2.loss_cls: 0.2395 d2.loss_bbox: 0.1267 d2.loss_iou: 0.2236 d3.loss_cls: 0.2308 d3.loss_bbox: 0.1269 d3.loss_iou: 0.2251 d4.loss_cls: 0.2250 d4.loss_bbox: 0.1261 d4.loss_iou: 0.2247 enc_loss_cls: 0.2807 enc_loss_bbox: 0.1609 enc_loss_iou: 0.2651 dn_loss_cls: 0.0576 dn_loss_bbox: 0.1627 dn_loss_iou: 0.2120 d0.dn_loss_cls: 0.1384 d0.dn_loss_bbox: 0.3178 d0.dn_loss_iou: 0.3551 d1.dn_loss_cls: 0.0857 d1.dn_loss_bbox: 0.1962 d1.dn_loss_iou: 0.2452 d2.dn_loss_cls: 0.0681 d2.dn_loss_bbox: 0.1685 d2.dn_loss_iou: 0.2185 d3.dn_loss_cls: 0.0617 d3.dn_loss_bbox: 0.1640 d3.dn_loss_iou: 0.2132 d4.dn_loss_cls: 0.0585 d4.dn_loss_bbox: 0.1627 d4.dn_loss_iou: 0.2120 d1.loss_lmm_region: 0.1156 loss_lmm_image: 0.7781 2024/11/03 08:59:30 - mmengine - INFO - Iter(train) [ 71400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:42:18 time: 0.9645 data_time: 0.0180 memory: 20433 grad_norm: 20.4322 loss: 9.5897 loss_cls: 0.3045 loss_bbox: 0.1604 loss_iou: 0.2750 d0.loss_cls: 0.3425 d0.loss_bbox: 0.1775 d0.loss_iou: 0.2886 d1.loss_cls: 0.3293 d1.loss_bbox: 0.1627 d1.loss_iou: 0.2766 d2.loss_cls: 0.3116 d2.loss_bbox: 0.1663 d2.loss_iou: 0.2793 d3.loss_cls: 0.3066 d3.loss_bbox: 0.1631 d3.loss_iou: 0.2777 d4.loss_cls: 0.3060 d4.loss_bbox: 0.1603 d4.loss_iou: 0.2749 enc_loss_cls: 0.3609 enc_loss_bbox: 0.1837 enc_loss_iou: 0.3093 dn_loss_cls: 0.0809 dn_loss_bbox: 0.1594 dn_loss_iou: 0.2171 d0.dn_loss_cls: 0.1625 d0.dn_loss_bbox: 0.3071 d0.dn_loss_iou: 0.3594 d1.dn_loss_cls: 0.1082 d1.dn_loss_bbox: 0.1920 d1.dn_loss_iou: 0.2473 d2.dn_loss_cls: 0.0926 d2.dn_loss_bbox: 0.1686 d2.dn_loss_iou: 0.2253 d3.dn_loss_cls: 0.0844 d3.dn_loss_bbox: 0.1609 d3.dn_loss_iou: 0.2184 d4.dn_loss_cls: 0.0819 d4.dn_loss_bbox: 0.1594 d4.dn_loss_iou: 0.2170 d1.loss_lmm_region: 0.1243 loss_lmm_image: 0.8062 2024/11/03 09:01:08 - mmengine - INFO - Iter(train) [ 71500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:40:37 time: 0.9706 data_time: 0.0182 memory: 20268 grad_norm: 22.4552 loss: 8.6159 loss_cls: 0.2529 loss_bbox: 0.1332 loss_iou: 0.2288 d0.loss_cls: 0.2796 d0.loss_bbox: 0.1419 d0.loss_iou: 0.2465 d1.loss_cls: 0.2685 d1.loss_bbox: 0.1359 d1.loss_iou: 0.2358 d2.loss_cls: 0.2604 d2.loss_bbox: 0.1334 d2.loss_iou: 0.2319 d3.loss_cls: 0.2577 d3.loss_bbox: 0.1313 d3.loss_iou: 0.2289 d4.loss_cls: 0.2557 d4.loss_bbox: 0.1321 d4.loss_iou: 0.2294 enc_loss_cls: 0.2945 enc_loss_bbox: 0.1590 enc_loss_iou: 0.2696 dn_loss_cls: 0.0825 dn_loss_bbox: 0.1585 dn_loss_iou: 0.2024 d0.dn_loss_cls: 0.1639 d0.dn_loss_bbox: 0.3268 d0.dn_loss_iou: 0.3489 d1.dn_loss_cls: 0.1134 d1.dn_loss_bbox: 0.1966 d1.dn_loss_iou: 0.2358 d2.dn_loss_cls: 0.0974 d2.dn_loss_bbox: 0.1700 d2.dn_loss_iou: 0.2122 d3.dn_loss_cls: 0.0872 d3.dn_loss_bbox: 0.1604 d3.dn_loss_iou: 0.2045 d4.dn_loss_cls: 0.0837 d4.dn_loss_bbox: 0.1586 d4.dn_loss_iou: 0.2024 d1.loss_lmm_region: 0.1240 loss_lmm_image: 0.7799 2024/11/03 09:02:45 - mmengine - INFO - Iter(train) [ 71600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:38:55 time: 0.9699 data_time: 0.0181 memory: 20321 grad_norm: 27.9870 loss: 9.3776 loss_cls: 0.2965 loss_bbox: 0.1397 loss_iou: 0.2700 d0.loss_cls: 0.3312 d0.loss_bbox: 0.1545 d0.loss_iou: 0.2816 d1.loss_cls: 0.3093 d1.loss_bbox: 0.1452 d1.loss_iou: 0.2743 d2.loss_cls: 0.2992 d2.loss_bbox: 0.1451 d2.loss_iou: 0.2736 d3.loss_cls: 0.2972 d3.loss_bbox: 0.1426 d3.loss_iou: 0.2711 d4.loss_cls: 0.2957 d4.loss_bbox: 0.1410 d4.loss_iou: 0.2699 enc_loss_cls: 0.3540 enc_loss_bbox: 0.1614 enc_loss_iou: 0.2992 dn_loss_cls: 0.0810 dn_loss_bbox: 0.1698 dn_loss_iou: 0.2199 d0.dn_loss_cls: 0.1607 d0.dn_loss_bbox: 0.3134 d0.dn_loss_iou: 0.3653 d1.dn_loss_cls: 0.1062 d1.dn_loss_bbox: 0.1980 d1.dn_loss_iou: 0.2516 d2.dn_loss_cls: 0.0905 d2.dn_loss_bbox: 0.1758 d2.dn_loss_iou: 0.2275 d3.dn_loss_cls: 0.0823 d3.dn_loss_bbox: 0.1704 d3.dn_loss_iou: 0.2211 d4.dn_loss_cls: 0.0810 d4.dn_loss_bbox: 0.1698 d4.dn_loss_iou: 0.2199 d1.loss_lmm_region: 0.1406 loss_lmm_image: 0.7805 2024/11/03 09:04:23 - mmengine - INFO - Iter(train) [ 71700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:37:14 time: 0.9709 data_time: 0.0183 memory: 20470 grad_norm: 23.8460 loss: 9.8006 loss_cls: 0.3106 loss_bbox: 0.1515 loss_iou: 0.2909 d0.loss_cls: 0.3424 d0.loss_bbox: 0.1671 d0.loss_iou: 0.3131 d1.loss_cls: 0.3298 d1.loss_bbox: 0.1568 d1.loss_iou: 0.3020 d2.loss_cls: 0.3190 d2.loss_bbox: 0.1515 d2.loss_iou: 0.2912 d3.loss_cls: 0.3182 d3.loss_bbox: 0.1484 d3.loss_iou: 0.2882 d4.loss_cls: 0.3114 d4.loss_bbox: 0.1528 d4.loss_iou: 0.2912 enc_loss_cls: 0.3747 enc_loss_bbox: 0.1771 enc_loss_iou: 0.3259 dn_loss_cls: 0.0739 dn_loss_bbox: 0.1627 dn_loss_iou: 0.2269 d0.dn_loss_cls: 0.1613 d0.dn_loss_bbox: 0.3120 d0.dn_loss_iou: 0.3829 d1.dn_loss_cls: 0.1071 d1.dn_loss_bbox: 0.1928 d1.dn_loss_iou: 0.2599 d2.dn_loss_cls: 0.0890 d2.dn_loss_bbox: 0.1717 d2.dn_loss_iou: 0.2372 d3.dn_loss_cls: 0.0789 d3.dn_loss_bbox: 0.1643 d3.dn_loss_iou: 0.2283 d4.dn_loss_cls: 0.0751 d4.dn_loss_bbox: 0.1625 d4.dn_loss_iou: 0.2268 d1.loss_lmm_region: 0.1353 loss_lmm_image: 0.8383 2024/11/03 09:06:01 - mmengine - INFO - Iter(train) [ 71800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:35:33 time: 0.9941 data_time: 0.0183 memory: 20512 grad_norm: 21.9547 loss: 9.5419 loss_cls: 0.2778 loss_bbox: 0.1474 loss_iou: 0.2656 d0.loss_cls: 0.3109 d0.loss_bbox: 0.1577 d0.loss_iou: 0.2849 d1.loss_cls: 0.2890 d1.loss_bbox: 0.1553 d1.loss_iou: 0.2786 d2.loss_cls: 0.2819 d2.loss_bbox: 0.1504 d2.loss_iou: 0.2711 d3.loss_cls: 0.2827 d3.loss_bbox: 0.1482 d3.loss_iou: 0.2656 d4.loss_cls: 0.2796 d4.loss_bbox: 0.1476 d4.loss_iou: 0.2655 enc_loss_cls: 0.3276 enc_loss_bbox: 0.1767 enc_loss_iou: 0.3114 dn_loss_cls: 0.0920 dn_loss_bbox: 0.1790 dn_loss_iou: 0.2291 d0.dn_loss_cls: 0.1834 d0.dn_loss_bbox: 0.3277 d0.dn_loss_iou: 0.3812 d1.dn_loss_cls: 0.1261 d1.dn_loss_bbox: 0.2111 d1.dn_loss_iou: 0.2639 d2.dn_loss_cls: 0.1081 d2.dn_loss_bbox: 0.1875 d2.dn_loss_iou: 0.2383 d3.dn_loss_cls: 0.0971 d3.dn_loss_bbox: 0.1800 d3.dn_loss_iou: 0.2308 d4.dn_loss_cls: 0.0931 d4.dn_loss_bbox: 0.1789 d4.dn_loss_iou: 0.2290 d1.loss_lmm_region: 0.1277 loss_lmm_image: 0.8026 2024/11/03 09:07:38 - mmengine - INFO - Iter(train) [ 71900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:33:51 time: 0.9680 data_time: 0.0183 memory: 20824 grad_norm: 25.2154 loss: 8.3282 loss_cls: 0.2506 loss_bbox: 0.1177 loss_iou: 0.2105 d0.loss_cls: 0.2779 d0.loss_bbox: 0.1312 d0.loss_iou: 0.2291 d1.loss_cls: 0.2656 d1.loss_bbox: 0.1214 d1.loss_iou: 0.2154 d2.loss_cls: 0.2594 d2.loss_bbox: 0.1196 d2.loss_iou: 0.2116 d3.loss_cls: 0.2549 d3.loss_bbox: 0.1177 d3.loss_iou: 0.2104 d4.loss_cls: 0.2528 d4.loss_bbox: 0.1150 d4.loss_iou: 0.2091 enc_loss_cls: 0.2992 enc_loss_bbox: 0.1408 enc_loss_iou: 0.2490 dn_loss_cls: 0.0853 dn_loss_bbox: 0.1579 dn_loss_iou: 0.2037 d0.dn_loss_cls: 0.1551 d0.dn_loss_bbox: 0.3027 d0.dn_loss_iou: 0.3448 d1.dn_loss_cls: 0.1141 d1.dn_loss_bbox: 0.1898 d1.dn_loss_iou: 0.2364 d2.dn_loss_cls: 0.1017 d2.dn_loss_bbox: 0.1667 d2.dn_loss_iou: 0.2115 d3.dn_loss_cls: 0.0934 d3.dn_loss_bbox: 0.1593 d3.dn_loss_iou: 0.2050 d4.dn_loss_cls: 0.0876 d4.dn_loss_bbox: 0.1579 d4.dn_loss_iou: 0.2036 d1.loss_lmm_region: 0.0920 loss_lmm_image: 0.8008 2024/11/03 09:09:16 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 09:09:16 - mmengine - INFO - Iter(train) [ 72000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:32:11 time: 0.9841 data_time: 0.0182 memory: 21245 grad_norm: 23.5167 loss: 9.0264 loss_cls: 0.2588 loss_bbox: 0.1337 loss_iou: 0.2281 d0.loss_cls: 0.2890 d0.loss_bbox: 0.1522 d0.loss_iou: 0.2454 d1.loss_cls: 0.2695 d1.loss_bbox: 0.1414 d1.loss_iou: 0.2366 d2.loss_cls: 0.2644 d2.loss_bbox: 0.1382 d2.loss_iou: 0.2325 d3.loss_cls: 0.2587 d3.loss_bbox: 0.1365 d3.loss_iou: 0.2306 d4.loss_cls: 0.2581 d4.loss_bbox: 0.1345 d4.loss_iou: 0.2303 enc_loss_cls: 0.3113 enc_loss_bbox: 0.1644 enc_loss_iou: 0.2664 dn_loss_cls: 0.0775 dn_loss_bbox: 0.1745 dn_loss_iou: 0.2301 d0.dn_loss_cls: 0.1807 d0.dn_loss_bbox: 0.3541 d0.dn_loss_iou: 0.3911 d1.dn_loss_cls: 0.1160 d1.dn_loss_bbox: 0.2173 d1.dn_loss_iou: 0.2686 d2.dn_loss_cls: 0.0950 d2.dn_loss_bbox: 0.1838 d2.dn_loss_iou: 0.2396 d3.dn_loss_cls: 0.0832 d3.dn_loss_bbox: 0.1761 d3.dn_loss_iou: 0.2320 d4.dn_loss_cls: 0.0780 d4.dn_loss_bbox: 0.1746 d4.dn_loss_iou: 0.2302 d1.loss_lmm_region: 0.1538 loss_lmm_image: 0.7897 2024/11/03 09:10:54 - mmengine - INFO - Iter(train) [ 72100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:30:29 time: 0.9775 data_time: 0.0184 memory: 20688 grad_norm: 21.6902 loss: 10.1277 loss_cls: 0.3208 loss_bbox: 0.1627 loss_iou: 0.2826 d0.loss_cls: 0.3568 d0.loss_bbox: 0.1748 d0.loss_iou: 0.2929 d1.loss_cls: 0.3444 d1.loss_bbox: 0.1675 d1.loss_iou: 0.2884 d2.loss_cls: 0.3328 d2.loss_bbox: 0.1641 d2.loss_iou: 0.2825 d3.loss_cls: 0.3192 d3.loss_bbox: 0.1637 d3.loss_iou: 0.2809 d4.loss_cls: 0.3170 d4.loss_bbox: 0.1649 d4.loss_iou: 0.2834 enc_loss_cls: 0.3718 enc_loss_bbox: 0.1942 enc_loss_iou: 0.3197 dn_loss_cls: 0.0832 dn_loss_bbox: 0.1913 dn_loss_iou: 0.2415 d0.dn_loss_cls: 0.1689 d0.dn_loss_bbox: 0.3461 d0.dn_loss_iou: 0.3935 d1.dn_loss_cls: 0.1150 d1.dn_loss_bbox: 0.2251 d1.dn_loss_iou: 0.2748 d2.dn_loss_cls: 0.0974 d2.dn_loss_bbox: 0.1988 d2.dn_loss_iou: 0.2498 d3.dn_loss_cls: 0.0883 d3.dn_loss_bbox: 0.1911 d3.dn_loss_iou: 0.2425 d4.dn_loss_cls: 0.0847 d4.dn_loss_bbox: 0.1915 d4.dn_loss_iou: 0.2417 d1.loss_lmm_region: 0.1367 loss_lmm_image: 0.7807 2024/11/03 09:12:32 - mmengine - INFO - Iter(train) [ 72200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:28:48 time: 0.9709 data_time: 0.0183 memory: 20850 grad_norm: 21.5797 loss: 10.9237 loss_cls: 0.3692 loss_bbox: 0.1682 loss_iou: 0.2875 d0.loss_cls: 0.4109 d0.loss_bbox: 0.1884 d0.loss_iou: 0.3079 d1.loss_cls: 0.3857 d1.loss_bbox: 0.1770 d1.loss_iou: 0.2962 d2.loss_cls: 0.3841 d2.loss_bbox: 0.1656 d2.loss_iou: 0.2870 d3.loss_cls: 0.3755 d3.loss_bbox: 0.1664 d3.loss_iou: 0.2871 d4.loss_cls: 0.3707 d4.loss_bbox: 0.1687 d4.loss_iou: 0.2878 enc_loss_cls: 0.4292 enc_loss_bbox: 0.2063 enc_loss_iou: 0.3356 dn_loss_cls: 0.1201 dn_loss_bbox: 0.1957 dn_loss_iou: 0.2417 d0.dn_loss_cls: 0.2190 d0.dn_loss_bbox: 0.3645 d0.dn_loss_iou: 0.4080 d1.dn_loss_cls: 0.1600 d1.dn_loss_bbox: 0.2422 d1.dn_loss_iou: 0.2825 d2.dn_loss_cls: 0.1355 d2.dn_loss_bbox: 0.2078 d2.dn_loss_iou: 0.2526 d3.dn_loss_cls: 0.1251 d3.dn_loss_bbox: 0.1965 d3.dn_loss_iou: 0.2435 d4.dn_loss_cls: 0.1216 d4.dn_loss_bbox: 0.1956 d4.dn_loss_iou: 0.2415 d1.loss_lmm_region: 0.1544 loss_lmm_image: 0.7611 2024/11/03 09:14:09 - mmengine - INFO - Iter(train) [ 72300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:27:06 time: 0.9715 data_time: 0.0181 memory: 20857 grad_norm: 23.4607 loss: 11.0489 loss_cls: 0.3403 loss_bbox: 0.1870 loss_iou: 0.3301 d0.loss_cls: 0.3743 d0.loss_bbox: 0.2018 d0.loss_iou: 0.3484 d1.loss_cls: 0.3566 d1.loss_bbox: 0.1949 d1.loss_iou: 0.3406 d2.loss_cls: 0.3490 d2.loss_bbox: 0.1847 d2.loss_iou: 0.3312 d3.loss_cls: 0.3394 d3.loss_bbox: 0.1920 d3.loss_iou: 0.3362 d4.loss_cls: 0.3398 d4.loss_bbox: 0.1903 d4.loss_iou: 0.3311 enc_loss_cls: 0.3923 enc_loss_bbox: 0.2235 enc_loss_iou: 0.3747 dn_loss_cls: 0.0795 dn_loss_bbox: 0.1907 dn_loss_iou: 0.2641 d0.dn_loss_cls: 0.1944 d0.dn_loss_bbox: 0.3726 d0.dn_loss_iou: 0.4275 d1.dn_loss_cls: 0.1201 d1.dn_loss_bbox: 0.2345 d1.dn_loss_iou: 0.3021 d2.dn_loss_cls: 0.0999 d2.dn_loss_bbox: 0.1995 d2.dn_loss_iou: 0.2727 d3.dn_loss_cls: 0.0858 d3.dn_loss_bbox: 0.1916 d3.dn_loss_iou: 0.2657 d4.dn_loss_cls: 0.0808 d4.dn_loss_bbox: 0.1906 d4.dn_loss_iou: 0.2642 d1.loss_lmm_region: 0.1710 loss_lmm_image: 0.7834 2024/11/03 09:15:46 - mmengine - INFO - Iter(train) [ 72400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:25:24 time: 0.9647 data_time: 0.0181 memory: 20776 grad_norm: 22.1118 loss: 9.5874 loss_cls: 0.3008 loss_bbox: 0.1525 loss_iou: 0.2573 d0.loss_cls: 0.3432 d0.loss_bbox: 0.1645 d0.loss_iou: 0.2752 d1.loss_cls: 0.3230 d1.loss_bbox: 0.1551 d1.loss_iou: 0.2654 d2.loss_cls: 0.3108 d2.loss_bbox: 0.1493 d2.loss_iou: 0.2582 d3.loss_cls: 0.3061 d3.loss_bbox: 0.1480 d3.loss_iou: 0.2565 d4.loss_cls: 0.3016 d4.loss_bbox: 0.1514 d4.loss_iou: 0.2564 enc_loss_cls: 0.3593 enc_loss_bbox: 0.1763 enc_loss_iou: 0.2915 dn_loss_cls: 0.0859 dn_loss_bbox: 0.1699 dn_loss_iou: 0.2309 d0.dn_loss_cls: 0.1763 d0.dn_loss_bbox: 0.3243 d0.dn_loss_iou: 0.3932 d1.dn_loss_cls: 0.1209 d1.dn_loss_bbox: 0.2046 d1.dn_loss_iou: 0.2682 d2.dn_loss_cls: 0.1023 d2.dn_loss_bbox: 0.1797 d2.dn_loss_iou: 0.2404 d3.dn_loss_cls: 0.0915 d3.dn_loss_bbox: 0.1718 d3.dn_loss_iou: 0.2327 d4.dn_loss_cls: 0.0877 d4.dn_loss_bbox: 0.1700 d4.dn_loss_iou: 0.2310 d1.loss_lmm_region: 0.1391 loss_lmm_image: 0.7648 2024/11/03 09:17:23 - mmengine - INFO - Iter(train) [ 72500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:23:42 time: 0.9718 data_time: 0.0181 memory: 20828 grad_norm: 21.3432 loss: 8.6192 loss_cls: 0.2668 loss_bbox: 0.1301 loss_iou: 0.2265 d0.loss_cls: 0.3025 d0.loss_bbox: 0.1422 d0.loss_iou: 0.2468 d1.loss_cls: 0.2818 d1.loss_bbox: 0.1336 d1.loss_iou: 0.2340 d2.loss_cls: 0.2779 d2.loss_bbox: 0.1309 d2.loss_iou: 0.2287 d3.loss_cls: 0.2765 d3.loss_bbox: 0.1279 d3.loss_iou: 0.2248 d4.loss_cls: 0.2678 d4.loss_bbox: 0.1277 d4.loss_iou: 0.2256 enc_loss_cls: 0.3205 enc_loss_bbox: 0.1609 enc_loss_iou: 0.2717 dn_loss_cls: 0.0823 dn_loss_bbox: 0.1451 dn_loss_iou: 0.2001 d0.dn_loss_cls: 0.1629 d0.dn_loss_bbox: 0.2932 d0.dn_loss_iou: 0.3473 d1.dn_loss_cls: 0.1127 d1.dn_loss_bbox: 0.1801 d1.dn_loss_iou: 0.2345 d2.dn_loss_cls: 0.0977 d2.dn_loss_bbox: 0.1541 d2.dn_loss_iou: 0.2100 d3.dn_loss_cls: 0.0865 d3.dn_loss_bbox: 0.1471 d3.dn_loss_iou: 0.2018 d4.dn_loss_cls: 0.0830 d4.dn_loss_bbox: 0.1450 d4.dn_loss_iou: 0.1998 d1.loss_lmm_region: 0.1189 loss_lmm_image: 0.8118 2024/11/03 09:19:00 - mmengine - INFO - Iter(train) [ 72600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:22:00 time: 0.9692 data_time: 0.0181 memory: 20739 grad_norm: 23.2052 loss: 10.6266 loss_cls: 0.3409 loss_bbox: 0.1635 loss_iou: 0.3309 d0.loss_cls: 0.3780 d0.loss_bbox: 0.1798 d0.loss_iou: 0.3540 d1.loss_cls: 0.3573 d1.loss_bbox: 0.1687 d1.loss_iou: 0.3370 d2.loss_cls: 0.3502 d2.loss_bbox: 0.1659 d2.loss_iou: 0.3348 d3.loss_cls: 0.3429 d3.loss_bbox: 0.1632 d3.loss_iou: 0.3335 d4.loss_cls: 0.3422 d4.loss_bbox: 0.1630 d4.loss_iou: 0.3333 enc_loss_cls: 0.4008 enc_loss_bbox: 0.1930 enc_loss_iou: 0.3707 dn_loss_cls: 0.0978 dn_loss_bbox: 0.1739 dn_loss_iou: 0.2307 d0.dn_loss_cls: 0.1862 d0.dn_loss_bbox: 0.3328 d0.dn_loss_iou: 0.3857 d1.dn_loss_cls: 0.1325 d1.dn_loss_bbox: 0.2086 d1.dn_loss_iou: 0.2638 d2.dn_loss_cls: 0.1159 d2.dn_loss_bbox: 0.1839 d2.dn_loss_iou: 0.2393 d3.dn_loss_cls: 0.1047 d3.dn_loss_bbox: 0.1758 d3.dn_loss_iou: 0.2320 d4.dn_loss_cls: 0.0991 d4.dn_loss_bbox: 0.1738 d4.dn_loss_iou: 0.2306 d1.loss_lmm_region: 0.1408 loss_lmm_image: 0.8151 2024/11/03 09:20:38 - mmengine - INFO - Iter(train) [ 72700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:20:19 time: 0.9750 data_time: 0.0182 memory: 20740 grad_norm: 23.7903 loss: 9.5317 loss_cls: 0.2899 loss_bbox: 0.1522 loss_iou: 0.2489 d0.loss_cls: 0.3181 d0.loss_bbox: 0.1716 d0.loss_iou: 0.2692 d1.loss_cls: 0.3090 d1.loss_bbox: 0.1548 d1.loss_iou: 0.2509 d2.loss_cls: 0.2978 d2.loss_bbox: 0.1565 d2.loss_iou: 0.2510 d3.loss_cls: 0.2959 d3.loss_bbox: 0.1521 d3.loss_iou: 0.2481 d4.loss_cls: 0.2909 d4.loss_bbox: 0.1512 d4.loss_iou: 0.2482 enc_loss_cls: 0.3392 enc_loss_bbox: 0.1786 enc_loss_iou: 0.2866 dn_loss_cls: 0.0888 dn_loss_bbox: 0.1865 dn_loss_iou: 0.2259 d0.dn_loss_cls: 0.1723 d0.dn_loss_bbox: 0.3414 d0.dn_loss_iou: 0.3709 d1.dn_loss_cls: 0.1159 d1.dn_loss_bbox: 0.2206 d1.dn_loss_iou: 0.2587 d2.dn_loss_cls: 0.0998 d2.dn_loss_bbox: 0.1956 d2.dn_loss_iou: 0.2339 d3.dn_loss_cls: 0.0936 d3.dn_loss_bbox: 0.1879 d3.dn_loss_iou: 0.2269 d4.dn_loss_cls: 0.0901 d4.dn_loss_bbox: 0.1863 d4.dn_loss_iou: 0.2258 d1.loss_lmm_region: 0.1401 loss_lmm_image: 0.8100 2024/11/03 09:22:14 - mmengine - INFO - Iter(train) [ 72800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:18:37 time: 0.9645 data_time: 0.0182 memory: 20857 grad_norm: 22.0905 loss: 9.0235 loss_cls: 0.2610 loss_bbox: 0.1355 loss_iou: 0.2277 d0.loss_cls: 0.3030 d0.loss_bbox: 0.1497 d0.loss_iou: 0.2486 d1.loss_cls: 0.2851 d1.loss_bbox: 0.1375 d1.loss_iou: 0.2349 d2.loss_cls: 0.2704 d2.loss_bbox: 0.1362 d2.loss_iou: 0.2313 d3.loss_cls: 0.2675 d3.loss_bbox: 0.1364 d3.loss_iou: 0.2282 d4.loss_cls: 0.2694 d4.loss_bbox: 0.1327 d4.loss_iou: 0.2264 enc_loss_cls: 0.3189 enc_loss_bbox: 0.1651 enc_loss_iou: 0.2669 dn_loss_cls: 0.0774 dn_loss_bbox: 0.1746 dn_loss_iou: 0.2177 d0.dn_loss_cls: 0.1807 d0.dn_loss_bbox: 0.3643 d0.dn_loss_iou: 0.3890 d1.dn_loss_cls: 0.1179 d1.dn_loss_bbox: 0.2187 d1.dn_loss_iou: 0.2580 d2.dn_loss_cls: 0.0947 d2.dn_loss_bbox: 0.1857 d2.dn_loss_iou: 0.2291 d3.dn_loss_cls: 0.0837 d3.dn_loss_bbox: 0.1769 d3.dn_loss_iou: 0.2196 d4.dn_loss_cls: 0.0792 d4.dn_loss_bbox: 0.1747 d4.dn_loss_iou: 0.2177 d1.loss_lmm_region: 0.1602 loss_lmm_image: 0.7715 2024/11/03 09:23:53 - mmengine - INFO - Iter(train) [ 72900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:16:56 time: 0.9730 data_time: 0.0182 memory: 20708 grad_norm: 19.9765 loss: 9.0385 loss_cls: 0.2539 loss_bbox: 0.1318 loss_iou: 0.2317 d0.loss_cls: 0.2843 d0.loss_bbox: 0.1435 d0.loss_iou: 0.2429 d1.loss_cls: 0.2698 d1.loss_bbox: 0.1371 d1.loss_iou: 0.2363 d2.loss_cls: 0.2607 d2.loss_bbox: 0.1377 d2.loss_iou: 0.2345 d3.loss_cls: 0.2553 d3.loss_bbox: 0.1335 d3.loss_iou: 0.2318 d4.loss_cls: 0.2539 d4.loss_bbox: 0.1323 d4.loss_iou: 0.2311 enc_loss_cls: 0.2933 enc_loss_bbox: 0.1607 enc_loss_iou: 0.2626 dn_loss_cls: 0.0810 dn_loss_bbox: 0.1861 dn_loss_iou: 0.2342 d0.dn_loss_cls: 0.1739 d0.dn_loss_bbox: 0.3467 d0.dn_loss_iou: 0.3893 d1.dn_loss_cls: 0.1146 d1.dn_loss_bbox: 0.2211 d1.dn_loss_iou: 0.2688 d2.dn_loss_cls: 0.0975 d2.dn_loss_bbox: 0.1942 d2.dn_loss_iou: 0.2432 d3.dn_loss_cls: 0.0863 d3.dn_loss_bbox: 0.1876 d3.dn_loss_iou: 0.2359 d4.dn_loss_cls: 0.0812 d4.dn_loss_bbox: 0.1862 d4.dn_loss_iou: 0.2344 d1.loss_lmm_region: 0.1576 loss_lmm_image: 0.8001 2024/11/03 09:25:30 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 09:25:30 - mmengine - INFO - Iter(train) [ 73000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:15:15 time: 0.9757 data_time: 0.0181 memory: 21238 grad_norm: 23.1499 loss: 9.1111 loss_cls: 0.2929 loss_bbox: 0.1488 loss_iou: 0.2649 d0.loss_cls: 0.3300 d0.loss_bbox: 0.1599 d0.loss_iou: 0.2866 d1.loss_cls: 0.3146 d1.loss_bbox: 0.1456 d1.loss_iou: 0.2686 d2.loss_cls: 0.3036 d2.loss_bbox: 0.1486 d2.loss_iou: 0.2682 d3.loss_cls: 0.2988 d3.loss_bbox: 0.1492 d3.loss_iou: 0.2651 d4.loss_cls: 0.2974 d4.loss_bbox: 0.1424 d4.loss_iou: 0.2639 enc_loss_cls: 0.3463 enc_loss_bbox: 0.1753 enc_loss_iou: 0.3071 dn_loss_cls: 0.0659 dn_loss_bbox: 0.1439 dn_loss_iou: 0.2107 d0.dn_loss_cls: 0.1496 d0.dn_loss_bbox: 0.2833 d0.dn_loss_iou: 0.3578 d1.dn_loss_cls: 0.0928 d1.dn_loss_bbox: 0.1759 d1.dn_loss_iou: 0.2433 d2.dn_loss_cls: 0.0777 d2.dn_loss_bbox: 0.1534 d2.dn_loss_iou: 0.2199 d3.dn_loss_cls: 0.0726 d3.dn_loss_bbox: 0.1452 d3.dn_loss_iou: 0.2116 d4.dn_loss_cls: 0.0669 d4.dn_loss_bbox: 0.1439 d4.dn_loss_iou: 0.2107 d1.loss_lmm_region: 0.1110 loss_lmm_image: 0.7972 2024/11/03 09:27:07 - mmengine - INFO - Iter(train) [ 73100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:13:33 time: 0.9677 data_time: 0.0182 memory: 20753 grad_norm: 20.5354 loss: 9.3285 loss_cls: 0.2651 loss_bbox: 0.1464 loss_iou: 0.2872 d0.loss_cls: 0.2944 d0.loss_bbox: 0.1702 d0.loss_iou: 0.3046 d1.loss_cls: 0.2763 d1.loss_bbox: 0.1564 d1.loss_iou: 0.2955 d2.loss_cls: 0.2726 d2.loss_bbox: 0.1506 d2.loss_iou: 0.2899 d3.loss_cls: 0.2745 d3.loss_bbox: 0.1461 d3.loss_iou: 0.2848 d4.loss_cls: 0.2641 d4.loss_bbox: 0.1473 d4.loss_iou: 0.2883 enc_loss_cls: 0.3123 enc_loss_bbox: 0.1750 enc_loss_iou: 0.3186 dn_loss_cls: 0.0595 dn_loss_bbox: 0.1732 dn_loss_iou: 0.2368 d0.dn_loss_cls: 0.1426 d0.dn_loss_bbox: 0.3274 d0.dn_loss_iou: 0.3817 d1.dn_loss_cls: 0.0886 d1.dn_loss_bbox: 0.2060 d1.dn_loss_iou: 0.2662 d2.dn_loss_cls: 0.0723 d2.dn_loss_bbox: 0.1825 d2.dn_loss_iou: 0.2452 d3.dn_loss_cls: 0.0641 d3.dn_loss_bbox: 0.1751 d3.dn_loss_iou: 0.2378 d4.dn_loss_cls: 0.0597 d4.dn_loss_bbox: 0.1733 d4.dn_loss_iou: 0.2370 d1.loss_lmm_region: 0.1321 loss_lmm_image: 0.7471 2024/11/03 09:28:45 - mmengine - INFO - Iter(train) [ 73200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:11:52 time: 0.9821 data_time: 0.0187 memory: 21581 grad_norm: 20.6145 loss: 9.1345 loss_cls: 0.2642 loss_bbox: 0.1348 loss_iou: 0.2301 d0.loss_cls: 0.2846 d0.loss_bbox: 0.1538 d0.loss_iou: 0.2457 d1.loss_cls: 0.2823 d1.loss_bbox: 0.1361 d1.loss_iou: 0.2321 d2.loss_cls: 0.2702 d2.loss_bbox: 0.1375 d2.loss_iou: 0.2326 d3.loss_cls: 0.2733 d3.loss_bbox: 0.1312 d3.loss_iou: 0.2283 d4.loss_cls: 0.2705 d4.loss_bbox: 0.1322 d4.loss_iou: 0.2254 enc_loss_cls: 0.3029 enc_loss_bbox: 0.1681 enc_loss_iou: 0.2671 dn_loss_cls: 0.0869 dn_loss_bbox: 0.1851 dn_loss_iou: 0.2321 d0.dn_loss_cls: 0.1764 d0.dn_loss_bbox: 0.3483 d0.dn_loss_iou: 0.3861 d1.dn_loss_cls: 0.1195 d1.dn_loss_bbox: 0.2185 d1.dn_loss_iou: 0.2661 d2.dn_loss_cls: 0.1018 d2.dn_loss_bbox: 0.1936 d2.dn_loss_iou: 0.2415 d3.dn_loss_cls: 0.0937 d3.dn_loss_bbox: 0.1868 d3.dn_loss_iou: 0.2338 d4.dn_loss_cls: 0.0869 d4.dn_loss_bbox: 0.1851 d4.dn_loss_iou: 0.2319 d1.loss_lmm_region: 0.1387 loss_lmm_image: 0.8184 2024/11/03 09:30:22 - mmengine - INFO - Iter(train) [ 73300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:10:11 time: 0.9739 data_time: 0.0182 memory: 21920 grad_norm: 23.4544 loss: 10.1881 loss_cls: 0.3367 loss_bbox: 0.1528 loss_iou: 0.2985 d0.loss_cls: 0.3770 d0.loss_bbox: 0.1665 d0.loss_iou: 0.3157 d1.loss_cls: 0.3576 d1.loss_bbox: 0.1580 d1.loss_iou: 0.3087 d2.loss_cls: 0.3479 d2.loss_bbox: 0.1532 d2.loss_iou: 0.2987 d3.loss_cls: 0.3425 d3.loss_bbox: 0.1509 d3.loss_iou: 0.2960 d4.loss_cls: 0.3376 d4.loss_bbox: 0.1520 d4.loss_iou: 0.2993 enc_loss_cls: 0.3954 enc_loss_bbox: 0.1870 enc_loss_iou: 0.3428 dn_loss_cls: 0.0973 dn_loss_bbox: 0.1607 dn_loss_iou: 0.2263 d0.dn_loss_cls: 0.1892 d0.dn_loss_bbox: 0.3034 d0.dn_loss_iou: 0.3787 d1.dn_loss_cls: 0.1307 d1.dn_loss_bbox: 0.1925 d1.dn_loss_iou: 0.2613 d2.dn_loss_cls: 0.1132 d2.dn_loss_bbox: 0.1699 d2.dn_loss_iou: 0.2362 d3.dn_loss_cls: 0.1004 d3.dn_loss_bbox: 0.1621 d3.dn_loss_iou: 0.2281 d4.dn_loss_cls: 0.0975 d4.dn_loss_bbox: 0.1607 d4.dn_loss_iou: 0.2265 d1.loss_lmm_region: 0.1348 loss_lmm_image: 0.8436 2024/11/03 09:32:00 - mmengine - INFO - Iter(train) [ 73400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:08:30 time: 0.9692 data_time: 0.0181 memory: 21338 grad_norm: 22.4311 loss: 9.6158 loss_cls: 0.3003 loss_bbox: 0.1459 loss_iou: 0.2821 d0.loss_cls: 0.3296 d0.loss_bbox: 0.1647 d0.loss_iou: 0.2988 d1.loss_cls: 0.3187 d1.loss_bbox: 0.1520 d1.loss_iou: 0.2843 d2.loss_cls: 0.3130 d2.loss_bbox: 0.1477 d2.loss_iou: 0.2808 d3.loss_cls: 0.3051 d3.loss_bbox: 0.1457 d3.loss_iou: 0.2810 d4.loss_cls: 0.3021 d4.loss_bbox: 0.1457 d4.loss_iou: 0.2796 enc_loss_cls: 0.3465 enc_loss_bbox: 0.1776 enc_loss_iou: 0.3155 dn_loss_cls: 0.0752 dn_loss_bbox: 0.1688 dn_loss_iou: 0.2297 d0.dn_loss_cls: 0.1626 d0.dn_loss_bbox: 0.3211 d0.dn_loss_iou: 0.3755 d1.dn_loss_cls: 0.1066 d1.dn_loss_bbox: 0.2030 d1.dn_loss_iou: 0.2610 d2.dn_loss_cls: 0.0918 d2.dn_loss_bbox: 0.1772 d2.dn_loss_iou: 0.2372 d3.dn_loss_cls: 0.0812 d3.dn_loss_bbox: 0.1700 d3.dn_loss_iou: 0.2309 d4.dn_loss_cls: 0.0750 d4.dn_loss_bbox: 0.1688 d4.dn_loss_iou: 0.2297 d1.loss_lmm_region: 0.1476 loss_lmm_image: 0.7863 2024/11/03 09:33:38 - mmengine - INFO - Iter(train) [ 73500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:06:48 time: 0.9691 data_time: 0.0182 memory: 21306 grad_norm: 23.2067 loss: 8.0332 loss_cls: 0.2157 loss_bbox: 0.1190 loss_iou: 0.1991 d0.loss_cls: 0.2490 d0.loss_bbox: 0.1286 d0.loss_iou: 0.2122 d1.loss_cls: 0.2351 d1.loss_bbox: 0.1156 d1.loss_iou: 0.2000 d2.loss_cls: 0.2277 d2.loss_bbox: 0.1168 d2.loss_iou: 0.1982 d3.loss_cls: 0.2217 d3.loss_bbox: 0.1162 d3.loss_iou: 0.1973 d4.loss_cls: 0.2175 d4.loss_bbox: 0.1181 d4.loss_iou: 0.1991 enc_loss_cls: 0.2660 enc_loss_bbox: 0.1490 enc_loss_iou: 0.2352 dn_loss_cls: 0.0722 dn_loss_bbox: 0.1668 dn_loss_iou: 0.1913 d0.dn_loss_cls: 0.1622 d0.dn_loss_bbox: 0.3343 d0.dn_loss_iou: 0.3427 d1.dn_loss_cls: 0.1056 d1.dn_loss_bbox: 0.2092 d1.dn_loss_iou: 0.2284 d2.dn_loss_cls: 0.0861 d2.dn_loss_bbox: 0.1786 d2.dn_loss_iou: 0.2009 d3.dn_loss_cls: 0.0770 d3.dn_loss_bbox: 0.1692 d3.dn_loss_iou: 0.1929 d4.dn_loss_cls: 0.0730 d4.dn_loss_bbox: 0.1669 d4.dn_loss_iou: 0.1912 d1.loss_lmm_region: 0.1220 loss_lmm_image: 0.8255 2024/11/03 09:35:16 - mmengine - INFO - Iter(train) [ 73600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:05:08 time: 0.9759 data_time: 0.0183 memory: 21234 grad_norm: 21.3910 loss: 8.7737 loss_cls: 0.2410 loss_bbox: 0.1362 loss_iou: 0.2317 d0.loss_cls: 0.2606 d0.loss_bbox: 0.1570 d0.loss_iou: 0.2528 d1.loss_cls: 0.2542 d1.loss_bbox: 0.1420 d1.loss_iou: 0.2398 d2.loss_cls: 0.2505 d2.loss_bbox: 0.1389 d2.loss_iou: 0.2342 d3.loss_cls: 0.2455 d3.loss_bbox: 0.1376 d3.loss_iou: 0.2330 d4.loss_cls: 0.2428 d4.loss_bbox: 0.1357 d4.loss_iou: 0.2307 enc_loss_cls: 0.2935 enc_loss_bbox: 0.1598 enc_loss_iou: 0.2665 dn_loss_cls: 0.0629 dn_loss_bbox: 0.1780 dn_loss_iou: 0.2247 d0.dn_loss_cls: 0.1452 d0.dn_loss_bbox: 0.3540 d0.dn_loss_iou: 0.3832 d1.dn_loss_cls: 0.0941 d1.dn_loss_bbox: 0.2177 d1.dn_loss_iou: 0.2609 d2.dn_loss_cls: 0.0754 d2.dn_loss_bbox: 0.1873 d2.dn_loss_iou: 0.2337 d3.dn_loss_cls: 0.0656 d3.dn_loss_bbox: 0.1794 d3.dn_loss_iou: 0.2265 d4.dn_loss_cls: 0.0626 d4.dn_loss_bbox: 0.1782 d4.dn_loss_iou: 0.2248 d1.loss_lmm_region: 0.1273 loss_lmm_image: 0.8083 2024/11/03 09:36:53 - mmengine - INFO - Iter(train) [ 73700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:03:26 time: 0.9724 data_time: 0.0182 memory: 20327 grad_norm: 22.1129 loss: 9.6418 loss_cls: 0.2901 loss_bbox: 0.1462 loss_iou: 0.2442 d0.loss_cls: 0.3303 d0.loss_bbox: 0.1589 d0.loss_iou: 0.2641 d1.loss_cls: 0.3116 d1.loss_bbox: 0.1514 d1.loss_iou: 0.2552 d2.loss_cls: 0.3011 d2.loss_bbox: 0.1464 d2.loss_iou: 0.2497 d3.loss_cls: 0.2993 d3.loss_bbox: 0.1416 d3.loss_iou: 0.2449 d4.loss_cls: 0.2916 d4.loss_bbox: 0.1471 d4.loss_iou: 0.2438 enc_loss_cls: 0.3479 enc_loss_bbox: 0.1678 enc_loss_iou: 0.2826 dn_loss_cls: 0.0870 dn_loss_bbox: 0.1920 dn_loss_iou: 0.2322 d0.dn_loss_cls: 0.1775 d0.dn_loss_bbox: 0.3684 d0.dn_loss_iou: 0.3934 d1.dn_loss_cls: 0.1256 d1.dn_loss_bbox: 0.2340 d1.dn_loss_iou: 0.2704 d2.dn_loss_cls: 0.1067 d2.dn_loss_bbox: 0.2042 d2.dn_loss_iou: 0.2418 d3.dn_loss_cls: 0.0955 d3.dn_loss_bbox: 0.1937 d3.dn_loss_iou: 0.2338 d4.dn_loss_cls: 0.0884 d4.dn_loss_bbox: 0.1920 d4.dn_loss_iou: 0.2323 d1.loss_lmm_region: 0.1257 loss_lmm_image: 0.8315 2024/11/03 09:38:30 - mmengine - INFO - Iter(train) [ 73800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:01:44 time: 0.9608 data_time: 0.0182 memory: 21437 grad_norm: 22.8467 loss: 9.4016 loss_cls: 0.2905 loss_bbox: 0.1427 loss_iou: 0.2783 d0.loss_cls: 0.3222 d0.loss_bbox: 0.1611 d0.loss_iou: 0.2979 d1.loss_cls: 0.3061 d1.loss_bbox: 0.1507 d1.loss_iou: 0.2886 d2.loss_cls: 0.2995 d2.loss_bbox: 0.1459 d2.loss_iou: 0.2820 d3.loss_cls: 0.2945 d3.loss_bbox: 0.1445 d3.loss_iou: 0.2803 d4.loss_cls: 0.2911 d4.loss_bbox: 0.1432 d4.loss_iou: 0.2783 enc_loss_cls: 0.3394 enc_loss_bbox: 0.1732 enc_loss_iou: 0.3253 dn_loss_cls: 0.0704 dn_loss_bbox: 0.1665 dn_loss_iou: 0.2185 d0.dn_loss_cls: 0.1512 d0.dn_loss_bbox: 0.3177 d0.dn_loss_iou: 0.3678 d1.dn_loss_cls: 0.0996 d1.dn_loss_bbox: 0.2019 d1.dn_loss_iou: 0.2528 d2.dn_loss_cls: 0.0844 d2.dn_loss_bbox: 0.1761 d2.dn_loss_iou: 0.2282 d3.dn_loss_cls: 0.0762 d3.dn_loss_bbox: 0.1677 d3.dn_loss_iou: 0.2203 d4.dn_loss_cls: 0.0713 d4.dn_loss_bbox: 0.1665 d4.dn_loss_iou: 0.2183 d1.loss_lmm_region: 0.1136 loss_lmm_image: 0.7972 2024/11/03 09:40:07 - mmengine - INFO - Iter(train) [ 73900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:00:03 time: 0.9693 data_time: 0.0182 memory: 21220 grad_norm: 22.7418 loss: 8.6498 loss_cls: 0.2491 loss_bbox: 0.1424 loss_iou: 0.2342 d0.loss_cls: 0.2762 d0.loss_bbox: 0.1520 d0.loss_iou: 0.2469 d1.loss_cls: 0.2593 d1.loss_bbox: 0.1466 d1.loss_iou: 0.2379 d2.loss_cls: 0.2589 d2.loss_bbox: 0.1439 d2.loss_iou: 0.2323 d3.loss_cls: 0.2534 d3.loss_bbox: 0.1440 d3.loss_iou: 0.2343 d4.loss_cls: 0.2513 d4.loss_bbox: 0.1416 d4.loss_iou: 0.2321 enc_loss_cls: 0.2974 enc_loss_bbox: 0.1714 enc_loss_iou: 0.2677 dn_loss_cls: 0.0699 dn_loss_bbox: 0.1626 dn_loss_iou: 0.2058 d0.dn_loss_cls: 0.1465 d0.dn_loss_bbox: 0.3315 d0.dn_loss_iou: 0.3574 d1.dn_loss_cls: 0.0929 d1.dn_loss_bbox: 0.2010 d1.dn_loss_iou: 0.2412 d2.dn_loss_cls: 0.0795 d2.dn_loss_bbox: 0.1721 d2.dn_loss_iou: 0.2149 d3.dn_loss_cls: 0.0727 d3.dn_loss_bbox: 0.1647 d3.dn_loss_iou: 0.2074 d4.dn_loss_cls: 0.0703 d4.dn_loss_bbox: 0.1626 d4.dn_loss_iou: 0.2057 d1.loss_lmm_region: 0.1263 loss_lmm_image: 0.7920 2024/11/03 09:41:43 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 09:41:43 - mmengine - INFO - Iter(train) [ 74000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:58:20 time: 0.9599 data_time: 0.0183 memory: 21394 grad_norm: 22.3852 loss: 10.0209 loss_cls: 0.3318 loss_bbox: 0.1459 loss_iou: 0.2728 d0.loss_cls: 0.3679 d0.loss_bbox: 0.1553 d0.loss_iou: 0.2872 d1.loss_cls: 0.3514 d1.loss_bbox: 0.1502 d1.loss_iou: 0.2834 d2.loss_cls: 0.3419 d2.loss_bbox: 0.1494 d2.loss_iou: 0.2782 d3.loss_cls: 0.3379 d3.loss_bbox: 0.1446 d3.loss_iou: 0.2723 d4.loss_cls: 0.3350 d4.loss_bbox: 0.1455 d4.loss_iou: 0.2709 enc_loss_cls: 0.3876 enc_loss_bbox: 0.1739 enc_loss_iou: 0.3121 dn_loss_cls: 0.1180 dn_loss_bbox: 0.1667 dn_loss_iou: 0.2193 d0.dn_loss_cls: 0.2078 d0.dn_loss_bbox: 0.3035 d0.dn_loss_iou: 0.3670 d1.dn_loss_cls: 0.1497 d1.dn_loss_bbox: 0.1975 d1.dn_loss_iou: 0.2555 d2.dn_loss_cls: 0.1331 d2.dn_loss_bbox: 0.1751 d2.dn_loss_iou: 0.2287 d3.dn_loss_cls: 0.1221 d3.dn_loss_bbox: 0.1686 d3.dn_loss_iou: 0.2208 d4.dn_loss_cls: 0.1180 d4.dn_loss_bbox: 0.1667 d4.dn_loss_iou: 0.2193 d1.loss_lmm_region: 0.1518 loss_lmm_image: 0.8366 2024/11/03 09:43:21 - mmengine - INFO - Iter(train) [ 74100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:56:39 time: 0.9691 data_time: 0.0182 memory: 21049 grad_norm: 20.0215 loss: 11.1880 loss_cls: 0.3593 loss_bbox: 0.1762 loss_iou: 0.3375 d0.loss_cls: 0.4028 d0.loss_bbox: 0.1838 d0.loss_iou: 0.3525 d1.loss_cls: 0.3823 d1.loss_bbox: 0.1735 d1.loss_iou: 0.3457 d2.loss_cls: 0.3728 d2.loss_bbox: 0.1714 d2.loss_iou: 0.3389 d3.loss_cls: 0.3717 d3.loss_bbox: 0.1727 d3.loss_iou: 0.3373 d4.loss_cls: 0.3615 d4.loss_bbox: 0.1742 d4.loss_iou: 0.3375 enc_loss_cls: 0.4195 enc_loss_bbox: 0.2026 enc_loss_iou: 0.3811 dn_loss_cls: 0.1086 dn_loss_bbox: 0.1950 dn_loss_iou: 0.2570 d0.dn_loss_cls: 0.1897 d0.dn_loss_bbox: 0.3504 d0.dn_loss_iou: 0.4221 d1.dn_loss_cls: 0.1383 d1.dn_loss_bbox: 0.2303 d1.dn_loss_iou: 0.2968 d2.dn_loss_cls: 0.1216 d2.dn_loss_bbox: 0.2019 d2.dn_loss_iou: 0.2656 d3.dn_loss_cls: 0.1149 d3.dn_loss_bbox: 0.1971 d3.dn_loss_iou: 0.2585 d4.dn_loss_cls: 0.1095 d4.dn_loss_bbox: 0.1950 d4.dn_loss_iou: 0.2569 d1.loss_lmm_region: 0.1275 loss_lmm_image: 0.7967 2024/11/03 09:44:58 - mmengine - INFO - Iter(train) [ 74200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:54:57 time: 0.9707 data_time: 0.0183 memory: 20605 grad_norm: 22.9534 loss: 10.1207 loss_cls: 0.3101 loss_bbox: 0.1458 loss_iou: 0.2778 d0.loss_cls: 0.3493 d0.loss_bbox: 0.1623 d0.loss_iou: 0.3049 d1.loss_cls: 0.3372 d1.loss_bbox: 0.1460 d1.loss_iou: 0.2843 d2.loss_cls: 0.3194 d2.loss_bbox: 0.1494 d2.loss_iou: 0.2814 d3.loss_cls: 0.3155 d3.loss_bbox: 0.1474 d3.loss_iou: 0.2804 d4.loss_cls: 0.3097 d4.loss_bbox: 0.1459 d4.loss_iou: 0.2774 enc_loss_cls: 0.3682 enc_loss_bbox: 0.1739 enc_loss_iou: 0.3237 dn_loss_cls: 0.1234 dn_loss_bbox: 0.1656 dn_loss_iou: 0.2370 d0.dn_loss_cls: 0.2057 d0.dn_loss_bbox: 0.3321 d0.dn_loss_iou: 0.3999 d1.dn_loss_cls: 0.1517 d1.dn_loss_bbox: 0.2100 d1.dn_loss_iou: 0.2774 d2.dn_loss_cls: 0.1368 d2.dn_loss_bbox: 0.1774 d2.dn_loss_iou: 0.2483 d3.dn_loss_cls: 0.1279 d3.dn_loss_bbox: 0.1669 d3.dn_loss_iou: 0.2390 d4.dn_loss_cls: 0.1236 d4.dn_loss_bbox: 0.1656 d4.dn_loss_iou: 0.2370 d1.loss_lmm_region: 0.1231 loss_lmm_image: 0.8623 2024/11/03 09:46:36 - mmengine - INFO - Iter(train) [ 74300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:53:17 time: 0.9771 data_time: 0.0182 memory: 20776 grad_norm: 20.5252 loss: 9.9179 loss_cls: 0.2979 loss_bbox: 0.1470 loss_iou: 0.3138 d0.loss_cls: 0.3382 d0.loss_bbox: 0.1547 d0.loss_iou: 0.3282 d1.loss_cls: 0.3155 d1.loss_bbox: 0.1556 d1.loss_iou: 0.3247 d2.loss_cls: 0.3082 d2.loss_bbox: 0.1459 d2.loss_iou: 0.3169 d3.loss_cls: 0.3014 d3.loss_bbox: 0.1472 d3.loss_iou: 0.3148 d4.loss_cls: 0.2977 d4.loss_bbox: 0.1474 d4.loss_iou: 0.3146 enc_loss_cls: 0.3506 enc_loss_bbox: 0.1728 enc_loss_iou: 0.3526 dn_loss_cls: 0.0839 dn_loss_bbox: 0.1612 dn_loss_iou: 0.2387 d0.dn_loss_cls: 0.1631 d0.dn_loss_bbox: 0.3162 d0.dn_loss_iou: 0.3845 d1.dn_loss_cls: 0.1099 d1.dn_loss_bbox: 0.1943 d1.dn_loss_iou: 0.2716 d2.dn_loss_cls: 0.0986 d2.dn_loss_bbox: 0.1727 d2.dn_loss_iou: 0.2479 d3.dn_loss_cls: 0.0886 d3.dn_loss_bbox: 0.1634 d3.dn_loss_iou: 0.2400 d4.dn_loss_cls: 0.0852 d4.dn_loss_bbox: 0.1613 d4.dn_loss_iou: 0.2386 d1.loss_lmm_region: 0.1361 loss_lmm_image: 0.8163 2024/11/03 09:48:13 - mmengine - INFO - Iter(train) [ 74400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:51:35 time: 0.9795 data_time: 0.0183 memory: 21332 grad_norm: 22.6186 loss: 10.2036 loss_cls: 0.3468 loss_bbox: 0.1420 loss_iou: 0.2648 d0.loss_cls: 0.3846 d0.loss_bbox: 0.1535 d0.loss_iou: 0.2816 d1.loss_cls: 0.3627 d1.loss_bbox: 0.1472 d1.loss_iou: 0.2748 d2.loss_cls: 0.3601 d2.loss_bbox: 0.1407 d2.loss_iou: 0.2662 d3.loss_cls: 0.3542 d3.loss_bbox: 0.1422 d3.loss_iou: 0.2666 d4.loss_cls: 0.3478 d4.loss_bbox: 0.1425 d4.loss_iou: 0.2655 enc_loss_cls: 0.3933 enc_loss_bbox: 0.1766 enc_loss_iou: 0.3101 dn_loss_cls: 0.0992 dn_loss_bbox: 0.1890 dn_loss_iou: 0.2341 d0.dn_loss_cls: 0.1831 d0.dn_loss_bbox: 0.3844 d0.dn_loss_iou: 0.3960 d1.dn_loss_cls: 0.1279 d1.dn_loss_bbox: 0.2360 d1.dn_loss_iou: 0.2730 d2.dn_loss_cls: 0.1103 d2.dn_loss_bbox: 0.2035 d2.dn_loss_iou: 0.2450 d3.dn_loss_cls: 0.1032 d3.dn_loss_bbox: 0.1920 d3.dn_loss_iou: 0.2364 d4.dn_loss_cls: 0.0977 d4.dn_loss_bbox: 0.1890 d4.dn_loss_iou: 0.2340 d1.loss_lmm_region: 0.1397 loss_lmm_image: 0.8061 2024/11/03 09:49:50 - mmengine - INFO - Iter(train) [ 74500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:49:53 time: 0.9579 data_time: 0.0184 memory: 20821 grad_norm: 24.8814 loss: 9.9963 loss_cls: 0.2979 loss_bbox: 0.1667 loss_iou: 0.2876 d0.loss_cls: 0.3322 d0.loss_bbox: 0.1880 d0.loss_iou: 0.3115 d1.loss_cls: 0.3138 d1.loss_bbox: 0.1742 d1.loss_iou: 0.2948 d2.loss_cls: 0.3067 d2.loss_bbox: 0.1692 d2.loss_iou: 0.2895 d3.loss_cls: 0.3021 d3.loss_bbox: 0.1674 d3.loss_iou: 0.2881 d4.loss_cls: 0.2993 d4.loss_bbox: 0.1673 d4.loss_iou: 0.2879 enc_loss_cls: 0.3576 enc_loss_bbox: 0.2004 enc_loss_iou: 0.3301 dn_loss_cls: 0.0834 dn_loss_bbox: 0.1785 dn_loss_iou: 0.2349 d0.dn_loss_cls: 0.1742 d0.dn_loss_bbox: 0.3571 d0.dn_loss_iou: 0.3936 d1.dn_loss_cls: 0.1177 d1.dn_loss_bbox: 0.2149 d1.dn_loss_iou: 0.2700 d2.dn_loss_cls: 0.0991 d2.dn_loss_bbox: 0.1859 d2.dn_loss_iou: 0.2437 d3.dn_loss_cls: 0.0890 d3.dn_loss_bbox: 0.1793 d3.dn_loss_iou: 0.2361 d4.dn_loss_cls: 0.0843 d4.dn_loss_bbox: 0.1786 d4.dn_loss_iou: 0.2347 d1.loss_lmm_region: 0.1557 loss_lmm_image: 0.7534 2024/11/03 09:51:27 - mmengine - INFO - Iter(train) [ 74600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:48:12 time: 0.9722 data_time: 0.0183 memory: 21244 grad_norm: 22.2639 loss: 9.0498 loss_cls: 0.2847 loss_bbox: 0.1336 loss_iou: 0.2275 d0.loss_cls: 0.3201 d0.loss_bbox: 0.1417 d0.loss_iou: 0.2428 d1.loss_cls: 0.2999 d1.loss_bbox: 0.1364 d1.loss_iou: 0.2346 d2.loss_cls: 0.2966 d2.loss_bbox: 0.1320 d2.loss_iou: 0.2286 d3.loss_cls: 0.2918 d3.loss_bbox: 0.1316 d3.loss_iou: 0.2277 d4.loss_cls: 0.2873 d4.loss_bbox: 0.1336 d4.loss_iou: 0.2280 enc_loss_cls: 0.3397 enc_loss_bbox: 0.1531 enc_loss_iou: 0.2612 dn_loss_cls: 0.1080 dn_loss_bbox: 0.1589 dn_loss_iou: 0.2092 d0.dn_loss_cls: 0.1925 d0.dn_loss_bbox: 0.3037 d0.dn_loss_iou: 0.3512 d1.dn_loss_cls: 0.1380 d1.dn_loss_bbox: 0.1926 d1.dn_loss_iou: 0.2405 d2.dn_loss_cls: 0.1236 d2.dn_loss_bbox: 0.1658 d2.dn_loss_iou: 0.2169 d3.dn_loss_cls: 0.1152 d3.dn_loss_bbox: 0.1599 d3.dn_loss_iou: 0.2103 d4.dn_loss_cls: 0.1089 d4.dn_loss_bbox: 0.1589 d4.dn_loss_iou: 0.2092 d1.loss_lmm_region: 0.1554 loss_lmm_image: 0.7987 2024/11/03 09:53:04 - mmengine - INFO - Iter(train) [ 74700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:46:30 time: 0.9686 data_time: 0.0183 memory: 20692 grad_norm: 21.0561 loss: 10.1038 loss_cls: 0.3125 loss_bbox: 0.1511 loss_iou: 0.2859 d0.loss_cls: 0.3480 d0.loss_bbox: 0.1693 d0.loss_iou: 0.3080 d1.loss_cls: 0.3249 d1.loss_bbox: 0.1593 d1.loss_iou: 0.2940 d2.loss_cls: 0.3221 d2.loss_bbox: 0.1489 d2.loss_iou: 0.2844 d3.loss_cls: 0.3157 d3.loss_bbox: 0.1497 d3.loss_iou: 0.2870 d4.loss_cls: 0.3127 d4.loss_bbox: 0.1508 d4.loss_iou: 0.2854 enc_loss_cls: 0.3624 enc_loss_bbox: 0.1891 enc_loss_iou: 0.3347 dn_loss_cls: 0.0934 dn_loss_bbox: 0.1851 dn_loss_iou: 0.2426 d0.dn_loss_cls: 0.1839 d0.dn_loss_bbox: 0.3374 d0.dn_loss_iou: 0.3930 d1.dn_loss_cls: 0.1249 d1.dn_loss_bbox: 0.2175 d1.dn_loss_iou: 0.2738 d2.dn_loss_cls: 0.1080 d2.dn_loss_bbox: 0.1915 d2.dn_loss_iou: 0.2499 d3.dn_loss_cls: 0.0987 d3.dn_loss_bbox: 0.1859 d3.dn_loss_iou: 0.2434 d4.dn_loss_cls: 0.0939 d4.dn_loss_bbox: 0.1851 d4.dn_loss_iou: 0.2425 d1.loss_lmm_region: 0.1409 loss_lmm_image: 0.8163 2024/11/03 09:54:41 - mmengine - INFO - Iter(train) [ 74800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:44:49 time: 0.9690 data_time: 0.0182 memory: 20467 grad_norm: 21.9705 loss: 9.3646 loss_cls: 0.3080 loss_bbox: 0.1489 loss_iou: 0.2528 d0.loss_cls: 0.3452 d0.loss_bbox: 0.1582 d0.loss_iou: 0.2689 d1.loss_cls: 0.3280 d1.loss_bbox: 0.1467 d1.loss_iou: 0.2555 d2.loss_cls: 0.3198 d2.loss_bbox: 0.1481 d2.loss_iou: 0.2524 d3.loss_cls: 0.3131 d3.loss_bbox: 0.1484 d3.loss_iou: 0.2531 d4.loss_cls: 0.3098 d4.loss_bbox: 0.1494 d4.loss_iou: 0.2538 enc_loss_cls: 0.3608 enc_loss_bbox: 0.1783 enc_loss_iou: 0.2939 dn_loss_cls: 0.0845 dn_loss_bbox: 0.1660 dn_loss_iou: 0.2107 d0.dn_loss_cls: 0.1637 d0.dn_loss_bbox: 0.3061 d0.dn_loss_iou: 0.3443 d1.dn_loss_cls: 0.1127 d1.dn_loss_bbox: 0.1979 d1.dn_loss_iou: 0.2406 d2.dn_loss_cls: 0.0954 d2.dn_loss_bbox: 0.1756 d2.dn_loss_iou: 0.2186 d3.dn_loss_cls: 0.0865 d3.dn_loss_bbox: 0.1680 d3.dn_loss_iou: 0.2121 d4.dn_loss_cls: 0.0861 d4.dn_loss_bbox: 0.1660 d4.dn_loss_iou: 0.2109 d1.loss_lmm_region: 0.1451 loss_lmm_image: 0.7807 2024/11/03 09:56:18 - mmengine - INFO - Iter(train) [ 74900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:43:07 time: 0.9654 data_time: 0.0183 memory: 20252 grad_norm: 21.0177 loss: 10.0358 loss_cls: 0.2974 loss_bbox: 0.1569 loss_iou: 0.2785 d0.loss_cls: 0.3385 d0.loss_bbox: 0.1782 d0.loss_iou: 0.2981 d1.loss_cls: 0.3192 d1.loss_bbox: 0.1623 d1.loss_iou: 0.2843 d2.loss_cls: 0.3082 d2.loss_bbox: 0.1606 d2.loss_iou: 0.2823 d3.loss_cls: 0.3042 d3.loss_bbox: 0.1588 d3.loss_iou: 0.2788 d4.loss_cls: 0.2984 d4.loss_bbox: 0.1577 d4.loss_iou: 0.2792 enc_loss_cls: 0.3599 enc_loss_bbox: 0.1912 enc_loss_iou: 0.3193 dn_loss_cls: 0.0893 dn_loss_bbox: 0.1956 dn_loss_iou: 0.2388 d0.dn_loss_cls: 0.1717 d0.dn_loss_bbox: 0.3546 d0.dn_loss_iou: 0.3900 d1.dn_loss_cls: 0.1171 d1.dn_loss_bbox: 0.2297 d1.dn_loss_iou: 0.2726 d2.dn_loss_cls: 0.1019 d2.dn_loss_bbox: 0.2030 d2.dn_loss_iou: 0.2483 d3.dn_loss_cls: 0.0941 d3.dn_loss_bbox: 0.1968 d3.dn_loss_iou: 0.2406 d4.dn_loss_cls: 0.0905 d4.dn_loss_bbox: 0.1957 d4.dn_loss_iou: 0.2387 d1.loss_lmm_region: 0.1417 loss_lmm_image: 0.8131 2024/11/03 09:57:56 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 09:57:56 - mmengine - INFO - Iter(train) [ 75000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:41:26 time: 0.9736 data_time: 0.0182 memory: 21054 grad_norm: 25.1176 loss: 8.8339 loss_cls: 0.2599 loss_bbox: 0.1242 loss_iou: 0.2356 d0.loss_cls: 0.2943 d0.loss_bbox: 0.1373 d0.loss_iou: 0.2578 d1.loss_cls: 0.2830 d1.loss_bbox: 0.1287 d1.loss_iou: 0.2448 d2.loss_cls: 0.2740 d2.loss_bbox: 0.1236 d2.loss_iou: 0.2374 d3.loss_cls: 0.2651 d3.loss_bbox: 0.1251 d3.loss_iou: 0.2352 d4.loss_cls: 0.2603 d4.loss_bbox: 0.1256 d4.loss_iou: 0.2369 enc_loss_cls: 0.3045 enc_loss_bbox: 0.1578 enc_loss_iou: 0.2846 dn_loss_cls: 0.0898 dn_loss_bbox: 0.1569 dn_loss_iou: 0.2108 d0.dn_loss_cls: 0.1692 d0.dn_loss_bbox: 0.3190 d0.dn_loss_iou: 0.3708 d1.dn_loss_cls: 0.1172 d1.dn_loss_bbox: 0.1915 d1.dn_loss_iou: 0.2478 d2.dn_loss_cls: 0.1027 d2.dn_loss_bbox: 0.1702 d2.dn_loss_iou: 0.2216 d3.dn_loss_cls: 0.0935 d3.dn_loss_bbox: 0.1586 d3.dn_loss_iou: 0.2128 d4.dn_loss_cls: 0.0898 d4.dn_loss_bbox: 0.1570 d4.dn_loss_iou: 0.2109 d1.loss_lmm_region: 0.1229 loss_lmm_image: 0.8255 2024/11/03 09:59:32 - mmengine - INFO - Iter(train) [ 75100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:39:44 time: 0.9740 data_time: 0.0181 memory: 20981 grad_norm: 20.9746 loss: 8.8118 loss_cls: 0.2724 loss_bbox: 0.1257 loss_iou: 0.2415 d0.loss_cls: 0.3074 d0.loss_bbox: 0.1366 d0.loss_iou: 0.2599 d1.loss_cls: 0.2896 d1.loss_bbox: 0.1271 d1.loss_iou: 0.2456 d2.loss_cls: 0.2836 d2.loss_bbox: 0.1237 d2.loss_iou: 0.2391 d3.loss_cls: 0.2800 d3.loss_bbox: 0.1247 d3.loss_iou: 0.2393 d4.loss_cls: 0.2737 d4.loss_bbox: 0.1252 d4.loss_iou: 0.2400 enc_loss_cls: 0.3289 enc_loss_bbox: 0.1445 enc_loss_iou: 0.2716 dn_loss_cls: 0.0983 dn_loss_bbox: 0.1482 dn_loss_iou: 0.2104 d0.dn_loss_cls: 0.1806 d0.dn_loss_bbox: 0.2741 d0.dn_loss_iou: 0.3502 d1.dn_loss_cls: 0.1269 d1.dn_loss_bbox: 0.1761 d1.dn_loss_iou: 0.2405 d2.dn_loss_cls: 0.1138 d2.dn_loss_bbox: 0.1572 d2.dn_loss_iou: 0.2189 d3.dn_loss_cls: 0.1011 d3.dn_loss_bbox: 0.1496 d3.dn_loss_iou: 0.2115 d4.dn_loss_cls: 0.0987 d4.dn_loss_bbox: 0.1482 d4.dn_loss_iou: 0.2102 d1.loss_lmm_region: 0.1268 loss_lmm_image: 0.7903 2024/11/03 10:01:09 - mmengine - INFO - Iter(train) [ 75200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:38:02 time: 0.9666 data_time: 0.0181 memory: 21281 grad_norm: 21.0752 loss: 8.8222 loss_cls: 0.2655 loss_bbox: 0.1207 loss_iou: 0.2015 d0.loss_cls: 0.2941 d0.loss_bbox: 0.1400 d0.loss_iou: 0.2222 d1.loss_cls: 0.2846 d1.loss_bbox: 0.1258 d1.loss_iou: 0.2055 d2.loss_cls: 0.2758 d2.loss_bbox: 0.1234 d2.loss_iou: 0.2026 d3.loss_cls: 0.2648 d3.loss_bbox: 0.1242 d3.loss_iou: 0.2026 d4.loss_cls: 0.2644 d4.loss_bbox: 0.1207 d4.loss_iou: 0.2013 enc_loss_cls: 0.3052 enc_loss_bbox: 0.1570 enc_loss_iou: 0.2419 dn_loss_cls: 0.0917 dn_loss_bbox: 0.1865 dn_loss_iou: 0.2128 d0.dn_loss_cls: 0.1850 d0.dn_loss_bbox: 0.3558 d0.dn_loss_iou: 0.3734 d1.dn_loss_cls: 0.1257 d1.dn_loss_bbox: 0.2263 d1.dn_loss_iou: 0.2503 d2.dn_loss_cls: 0.1068 d2.dn_loss_bbox: 0.1989 d2.dn_loss_iou: 0.2232 d3.dn_loss_cls: 0.0995 d3.dn_loss_bbox: 0.1881 d3.dn_loss_iou: 0.2145 d4.dn_loss_cls: 0.0937 d4.dn_loss_bbox: 0.1864 d4.dn_loss_iou: 0.2126 d1.loss_lmm_region: 0.1479 loss_lmm_image: 0.7989 2024/11/03 10:02:47 - mmengine - INFO - Iter(train) [ 75300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:36:21 time: 0.9831 data_time: 0.0183 memory: 20457 grad_norm: 27.0879 loss: 9.6912 loss_cls: 0.2646 loss_bbox: 0.1529 loss_iou: 0.2657 d0.loss_cls: 0.3056 d0.loss_bbox: 0.1544 d0.loss_iou: 0.2743 d1.loss_cls: 0.2814 d1.loss_bbox: 0.1509 d1.loss_iou: 0.2698 d2.loss_cls: 0.2746 d2.loss_bbox: 0.1521 d2.loss_iou: 0.2680 d3.loss_cls: 0.2695 d3.loss_bbox: 0.1515 d3.loss_iou: 0.2656 d4.loss_cls: 0.2657 d4.loss_bbox: 0.1535 d4.loss_iou: 0.2674 enc_loss_cls: 0.3189 enc_loss_bbox: 0.1690 enc_loss_iou: 0.2984 dn_loss_cls: 0.0972 dn_loss_bbox: 0.1971 dn_loss_iou: 0.2425 d0.dn_loss_cls: 0.1850 d0.dn_loss_bbox: 0.3551 d0.dn_loss_iou: 0.4019 d1.dn_loss_cls: 0.1280 d1.dn_loss_bbox: 0.2299 d1.dn_loss_iou: 0.2768 d2.dn_loss_cls: 0.1140 d2.dn_loss_bbox: 0.2070 d2.dn_loss_iou: 0.2523 d3.dn_loss_cls: 0.1032 d3.dn_loss_bbox: 0.1979 d3.dn_loss_iou: 0.2439 d4.dn_loss_cls: 0.0989 d4.dn_loss_bbox: 0.1970 d4.dn_loss_iou: 0.2425 d1.loss_lmm_region: 0.1356 loss_lmm_image: 0.8116 2024/11/03 10:04:24 - mmengine - INFO - Iter(train) [ 75400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:34:40 time: 0.9700 data_time: 0.0182 memory: 21413 grad_norm: 21.8095 loss: 9.4295 loss_cls: 0.3062 loss_bbox: 0.1341 loss_iou: 0.2426 d0.loss_cls: 0.3471 d0.loss_bbox: 0.1511 d0.loss_iou: 0.2666 d1.loss_cls: 0.3211 d1.loss_bbox: 0.1455 d1.loss_iou: 0.2556 d2.loss_cls: 0.3116 d2.loss_bbox: 0.1370 d2.loss_iou: 0.2494 d3.loss_cls: 0.3081 d3.loss_bbox: 0.1351 d3.loss_iou: 0.2457 d4.loss_cls: 0.3058 d4.loss_bbox: 0.1340 d4.loss_iou: 0.2437 enc_loss_cls: 0.3570 enc_loss_bbox: 0.1659 enc_loss_iou: 0.2912 dn_loss_cls: 0.0972 dn_loss_bbox: 0.1684 dn_loss_iou: 0.2192 d0.dn_loss_cls: 0.1797 d0.dn_loss_bbox: 0.3312 d0.dn_loss_iou: 0.3732 d1.dn_loss_cls: 0.1266 d1.dn_loss_bbox: 0.2023 d1.dn_loss_iou: 0.2563 d2.dn_loss_cls: 0.1102 d2.dn_loss_bbox: 0.1770 d2.dn_loss_iou: 0.2284 d3.dn_loss_cls: 0.1014 d3.dn_loss_bbox: 0.1700 d3.dn_loss_iou: 0.2205 d4.dn_loss_cls: 0.0981 d4.dn_loss_bbox: 0.1684 d4.dn_loss_iou: 0.2191 d1.loss_lmm_region: 0.1420 loss_lmm_image: 0.7858 2024/11/03 10:06:02 - mmengine - INFO - Iter(train) [ 75500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:32:59 time: 0.9778 data_time: 0.0182 memory: 21954 grad_norm: 23.3044 loss: 10.6323 loss_cls: 0.3311 loss_bbox: 0.1742 loss_iou: 0.3130 d0.loss_cls: 0.3677 d0.loss_bbox: 0.1849 d0.loss_iou: 0.3288 d1.loss_cls: 0.3499 d1.loss_bbox: 0.1763 d1.loss_iou: 0.3165 d2.loss_cls: 0.3390 d2.loss_bbox: 0.1768 d2.loss_iou: 0.3151 d3.loss_cls: 0.3357 d3.loss_bbox: 0.1749 d3.loss_iou: 0.3134 d4.loss_cls: 0.3304 d4.loss_bbox: 0.1760 d4.loss_iou: 0.3142 enc_loss_cls: 0.3857 enc_loss_bbox: 0.1968 enc_loss_iou: 0.3507 dn_loss_cls: 0.1002 dn_loss_bbox: 0.1901 dn_loss_iou: 0.2478 d0.dn_loss_cls: 0.1853 d0.dn_loss_bbox: 0.3468 d0.dn_loss_iou: 0.3999 d1.dn_loss_cls: 0.1355 d1.dn_loss_bbox: 0.2229 d1.dn_loss_iou: 0.2820 d2.dn_loss_cls: 0.1169 d2.dn_loss_bbox: 0.1994 d2.dn_loss_iou: 0.2564 d3.dn_loss_cls: 0.1057 d3.dn_loss_bbox: 0.1915 d3.dn_loss_iou: 0.2487 d4.dn_loss_cls: 0.1007 d4.dn_loss_bbox: 0.1902 d4.dn_loss_iou: 0.2476 d1.loss_lmm_region: 0.1363 loss_lmm_image: 0.7773 2024/11/03 10:07:39 - mmengine - INFO - Iter(train) [ 75600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:31:17 time: 0.9649 data_time: 0.0182 memory: 21350 grad_norm: 21.3993 loss: 9.3987 loss_cls: 0.2762 loss_bbox: 0.1288 loss_iou: 0.2528 d0.loss_cls: 0.3141 d0.loss_bbox: 0.1426 d0.loss_iou: 0.2684 d1.loss_cls: 0.2905 d1.loss_bbox: 0.1338 d1.loss_iou: 0.2596 d2.loss_cls: 0.2830 d2.loss_bbox: 0.1300 d2.loss_iou: 0.2570 d3.loss_cls: 0.2802 d3.loss_bbox: 0.1300 d3.loss_iou: 0.2519 d4.loss_cls: 0.2752 d4.loss_bbox: 0.1310 d4.loss_iou: 0.2534 enc_loss_cls: 0.3295 enc_loss_bbox: 0.1561 enc_loss_iou: 0.2916 dn_loss_cls: 0.0891 dn_loss_bbox: 0.1816 dn_loss_iou: 0.2329 d0.dn_loss_cls: 0.1638 d0.dn_loss_bbox: 0.3568 d0.dn_loss_iou: 0.3937 d1.dn_loss_cls: 0.1099 d1.dn_loss_bbox: 0.2194 d1.dn_loss_iou: 0.2687 d2.dn_loss_cls: 0.0986 d2.dn_loss_bbox: 0.1911 d2.dn_loss_iou: 0.2427 d3.dn_loss_cls: 0.0905 d3.dn_loss_bbox: 0.1828 d3.dn_loss_iou: 0.2345 d4.dn_loss_cls: 0.0873 d4.dn_loss_bbox: 0.1815 d4.dn_loss_iou: 0.2327 d1.loss_lmm_region: 0.1300 loss_lmm_image: 0.8752 2024/11/03 10:09:17 - mmengine - INFO - Iter(train) [ 75700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:29:37 time: 0.9739 data_time: 0.0181 memory: 20524 grad_norm: 22.1487 loss: 9.3494 loss_cls: 0.2699 loss_bbox: 0.1292 loss_iou: 0.2491 d0.loss_cls: 0.3079 d0.loss_bbox: 0.1389 d0.loss_iou: 0.2598 d1.loss_cls: 0.2860 d1.loss_bbox: 0.1344 d1.loss_iou: 0.2538 d2.loss_cls: 0.2818 d2.loss_bbox: 0.1304 d2.loss_iou: 0.2478 d3.loss_cls: 0.2747 d3.loss_bbox: 0.1301 d3.loss_iou: 0.2476 d4.loss_cls: 0.2712 d4.loss_bbox: 0.1293 d4.loss_iou: 0.2469 enc_loss_cls: 0.3265 enc_loss_bbox: 0.1485 enc_loss_iou: 0.2763 dn_loss_cls: 0.1089 dn_loss_bbox: 0.1741 dn_loss_iou: 0.2275 d0.dn_loss_cls: 0.1975 d0.dn_loss_bbox: 0.3417 d0.dn_loss_iou: 0.3833 d1.dn_loss_cls: 0.1389 d1.dn_loss_bbox: 0.2139 d1.dn_loss_iou: 0.2630 d2.dn_loss_cls: 0.1252 d2.dn_loss_bbox: 0.1858 d2.dn_loss_iou: 0.2374 d3.dn_loss_cls: 0.1155 d3.dn_loss_bbox: 0.1757 d3.dn_loss_iou: 0.2288 d4.dn_loss_cls: 0.1094 d4.dn_loss_bbox: 0.1741 d4.dn_loss_iou: 0.2274 d1.loss_lmm_region: 0.1459 loss_lmm_image: 0.8357 2024/11/03 10:10:54 - mmengine - INFO - Iter(train) [ 75800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:27:56 time: 0.9753 data_time: 0.0181 memory: 20569 grad_norm: 21.1606 loss: 9.5680 loss_cls: 0.2847 loss_bbox: 0.1607 loss_iou: 0.2638 d0.loss_cls: 0.3165 d0.loss_bbox: 0.1716 d0.loss_iou: 0.2786 d1.loss_cls: 0.3000 d1.loss_bbox: 0.1660 d1.loss_iou: 0.2711 d2.loss_cls: 0.2949 d2.loss_bbox: 0.1632 d2.loss_iou: 0.2655 d3.loss_cls: 0.2869 d3.loss_bbox: 0.1610 d3.loss_iou: 0.2654 d4.loss_cls: 0.2869 d4.loss_bbox: 0.1578 d4.loss_iou: 0.2632 enc_loss_cls: 0.3310 enc_loss_bbox: 0.1843 enc_loss_iou: 0.2934 dn_loss_cls: 0.0790 dn_loss_bbox: 0.1874 dn_loss_iou: 0.2209 d0.dn_loss_cls: 0.1824 d0.dn_loss_bbox: 0.3568 d0.dn_loss_iou: 0.3734 d1.dn_loss_cls: 0.1151 d1.dn_loss_bbox: 0.2268 d1.dn_loss_iou: 0.2545 d2.dn_loss_cls: 0.0944 d2.dn_loss_bbox: 0.1985 d2.dn_loss_iou: 0.2299 d3.dn_loss_cls: 0.0844 d3.dn_loss_bbox: 0.1898 d3.dn_loss_iou: 0.2227 d4.dn_loss_cls: 0.0799 d4.dn_loss_bbox: 0.1876 d4.dn_loss_iou: 0.2210 d1.loss_lmm_region: 0.1431 loss_lmm_image: 0.7538 2024/11/03 10:12:32 - mmengine - INFO - Iter(train) [ 75900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:26:14 time: 0.9731 data_time: 0.0182 memory: 21014 grad_norm: 20.5542 loss: 9.7052 loss_cls: 0.2788 loss_bbox: 0.1553 loss_iou: 0.2821 d0.loss_cls: 0.3206 d0.loss_bbox: 0.1716 d0.loss_iou: 0.3004 d1.loss_cls: 0.3024 d1.loss_bbox: 0.1591 d1.loss_iou: 0.2885 d2.loss_cls: 0.2918 d2.loss_bbox: 0.1588 d2.loss_iou: 0.2847 d3.loss_cls: 0.2851 d3.loss_bbox: 0.1583 d3.loss_iou: 0.2850 d4.loss_cls: 0.2803 d4.loss_bbox: 0.1553 d4.loss_iou: 0.2825 enc_loss_cls: 0.3376 enc_loss_bbox: 0.1874 enc_loss_iou: 0.3242 dn_loss_cls: 0.0814 dn_loss_bbox: 0.1768 dn_loss_iou: 0.2336 d0.dn_loss_cls: 0.1696 d0.dn_loss_bbox: 0.3529 d0.dn_loss_iou: 0.4004 d1.dn_loss_cls: 0.1145 d1.dn_loss_bbox: 0.2126 d1.dn_loss_iou: 0.2688 d2.dn_loss_cls: 0.0950 d2.dn_loss_bbox: 0.1841 d2.dn_loss_iou: 0.2406 d3.dn_loss_cls: 0.0859 d3.dn_loss_bbox: 0.1771 d3.dn_loss_iou: 0.2347 d4.dn_loss_cls: 0.0832 d4.dn_loss_bbox: 0.1767 d4.dn_loss_iou: 0.2335 d1.loss_lmm_region: 0.1256 loss_lmm_image: 0.7684 2024/11/03 10:14:09 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 10:14:09 - mmengine - INFO - Iter(train) [ 76000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:24:33 time: 0.9698 data_time: 0.0183 memory: 21262 grad_norm: 22.5446 loss: 9.1564 loss_cls: 0.2845 loss_bbox: 0.1352 loss_iou: 0.2531 d0.loss_cls: 0.3203 d0.loss_bbox: 0.1461 d0.loss_iou: 0.2656 d1.loss_cls: 0.3117 d1.loss_bbox: 0.1324 d1.loss_iou: 0.2522 d2.loss_cls: 0.2974 d2.loss_bbox: 0.1318 d2.loss_iou: 0.2540 d3.loss_cls: 0.2952 d3.loss_bbox: 0.1325 d3.loss_iou: 0.2529 d4.loss_cls: 0.2845 d4.loss_bbox: 0.1360 d4.loss_iou: 0.2525 enc_loss_cls: 0.3397 enc_loss_bbox: 0.1525 enc_loss_iou: 0.2808 dn_loss_cls: 0.1041 dn_loss_bbox: 0.1542 dn_loss_iou: 0.2199 d0.dn_loss_cls: 0.1873 d0.dn_loss_bbox: 0.2911 d0.dn_loss_iou: 0.3655 d1.dn_loss_cls: 0.1321 d1.dn_loss_bbox: 0.1882 d1.dn_loss_iou: 0.2538 d2.dn_loss_cls: 0.1146 d2.dn_loss_bbox: 0.1648 d2.dn_loss_iou: 0.2287 d3.dn_loss_cls: 0.1074 d3.dn_loss_bbox: 0.1556 d3.dn_loss_iou: 0.2213 d4.dn_loss_cls: 0.1050 d4.dn_loss_bbox: 0.1542 d4.dn_loss_iou: 0.2198 d1.loss_lmm_region: 0.1391 loss_lmm_image: 0.7393 2024/11/03 10:15:47 - mmengine - INFO - Iter(train) [ 76100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:22:52 time: 0.9768 data_time: 0.0183 memory: 21621 grad_norm: 21.1076 loss: 9.1406 loss_cls: 0.2768 loss_bbox: 0.1292 loss_iou: 0.2608 d0.loss_cls: 0.3085 d0.loss_bbox: 0.1484 d0.loss_iou: 0.2816 d1.loss_cls: 0.2906 d1.loss_bbox: 0.1325 d1.loss_iou: 0.2661 d2.loss_cls: 0.2804 d2.loss_bbox: 0.1340 d2.loss_iou: 0.2630 d3.loss_cls: 0.2785 d3.loss_bbox: 0.1289 d3.loss_iou: 0.2600 d4.loss_cls: 0.2795 d4.loss_bbox: 0.1286 d4.loss_iou: 0.2588 enc_loss_cls: 0.3232 enc_loss_bbox: 0.1584 enc_loss_iou: 0.2997 dn_loss_cls: 0.0737 dn_loss_bbox: 0.1591 dn_loss_iou: 0.2300 d0.dn_loss_cls: 0.1649 d0.dn_loss_bbox: 0.3191 d0.dn_loss_iou: 0.3879 d1.dn_loss_cls: 0.1069 d1.dn_loss_bbox: 0.1948 d1.dn_loss_iou: 0.2626 d2.dn_loss_cls: 0.0890 d2.dn_loss_bbox: 0.1707 d2.dn_loss_iou: 0.2390 d3.dn_loss_cls: 0.0780 d3.dn_loss_bbox: 0.1608 d3.dn_loss_iou: 0.2317 d4.dn_loss_cls: 0.0754 d4.dn_loss_bbox: 0.1591 d4.dn_loss_iou: 0.2301 d1.loss_lmm_region: 0.1410 loss_lmm_image: 0.7792 2024/11/03 10:17:24 - mmengine - INFO - Iter(train) [ 76200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:21:11 time: 0.9860 data_time: 0.0182 memory: 22044 grad_norm: 25.1172 loss: 9.4282 loss_cls: 0.2990 loss_bbox: 0.1307 loss_iou: 0.2410 d0.loss_cls: 0.3279 d0.loss_bbox: 0.1509 d0.loss_iou: 0.2588 d1.loss_cls: 0.3217 d1.loss_bbox: 0.1333 d1.loss_iou: 0.2432 d2.loss_cls: 0.3099 d2.loss_bbox: 0.1333 d2.loss_iou: 0.2419 d3.loss_cls: 0.3063 d3.loss_bbox: 0.1298 d3.loss_iou: 0.2400 d4.loss_cls: 0.3004 d4.loss_bbox: 0.1313 d4.loss_iou: 0.2430 enc_loss_cls: 0.3414 enc_loss_bbox: 0.1619 enc_loss_iou: 0.2823 dn_loss_cls: 0.1114 dn_loss_bbox: 0.1677 dn_loss_iou: 0.2285 d0.dn_loss_cls: 0.1840 d0.dn_loss_bbox: 0.3259 d0.dn_loss_iou: 0.3875 d1.dn_loss_cls: 0.1366 d1.dn_loss_bbox: 0.2058 d1.dn_loss_iou: 0.2629 d2.dn_loss_cls: 0.1250 d2.dn_loss_bbox: 0.1805 d2.dn_loss_iou: 0.2395 d3.dn_loss_cls: 0.1139 d3.dn_loss_bbox: 0.1699 d3.dn_loss_iou: 0.2302 d4.dn_loss_cls: 0.1122 d4.dn_loss_bbox: 0.1677 d4.dn_loss_iou: 0.2285 d1.loss_lmm_region: 0.1316 loss_lmm_image: 0.7909 2024/11/03 10:19:01 - mmengine - INFO - Iter(train) [ 76300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:19:30 time: 0.9668 data_time: 0.0181 memory: 20803 grad_norm: 21.7510 loss: 8.9445 loss_cls: 0.2606 loss_bbox: 0.1323 loss_iou: 0.2507 d0.loss_cls: 0.3003 d0.loss_bbox: 0.1487 d0.loss_iou: 0.2653 d1.loss_cls: 0.2868 d1.loss_bbox: 0.1396 d1.loss_iou: 0.2557 d2.loss_cls: 0.2779 d2.loss_bbox: 0.1345 d2.loss_iou: 0.2515 d3.loss_cls: 0.2690 d3.loss_bbox: 0.1348 d3.loss_iou: 0.2520 d4.loss_cls: 0.2604 d4.loss_bbox: 0.1327 d4.loss_iou: 0.2523 enc_loss_cls: 0.3177 enc_loss_bbox: 0.1585 enc_loss_iou: 0.2858 dn_loss_cls: 0.0722 dn_loss_bbox: 0.1696 dn_loss_iou: 0.2149 d0.dn_loss_cls: 0.1500 d0.dn_loss_bbox: 0.3146 d0.dn_loss_iou: 0.3543 d1.dn_loss_cls: 0.1007 d1.dn_loss_bbox: 0.1985 d1.dn_loss_iou: 0.2430 d2.dn_loss_cls: 0.0870 d2.dn_loss_bbox: 0.1774 d2.dn_loss_iou: 0.2218 d3.dn_loss_cls: 0.0771 d3.dn_loss_bbox: 0.1721 d3.dn_loss_iou: 0.2166 d4.dn_loss_cls: 0.0732 d4.dn_loss_bbox: 0.1697 d4.dn_loss_iou: 0.2150 d1.loss_lmm_region: 0.1189 loss_lmm_image: 0.8306 2024/11/03 10:20:39 - mmengine - INFO - Iter(train) [ 76400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:17:49 time: 0.9794 data_time: 0.0182 memory: 20692 grad_norm: 23.3736 loss: 8.7228 loss_cls: 0.2662 loss_bbox: 0.1138 loss_iou: 0.2300 d0.loss_cls: 0.2929 d0.loss_bbox: 0.1337 d0.loss_iou: 0.2481 d1.loss_cls: 0.2787 d1.loss_bbox: 0.1212 d1.loss_iou: 0.2387 d2.loss_cls: 0.2705 d2.loss_bbox: 0.1148 d2.loss_iou: 0.2331 d3.loss_cls: 0.2709 d3.loss_bbox: 0.1150 d3.loss_iou: 0.2321 d4.loss_cls: 0.2654 d4.loss_bbox: 0.1147 d4.loss_iou: 0.2308 enc_loss_cls: 0.3114 enc_loss_bbox: 0.1480 enc_loss_iou: 0.2712 dn_loss_cls: 0.0953 dn_loss_bbox: 0.1520 dn_loss_iou: 0.2085 d0.dn_loss_cls: 0.1813 d0.dn_loss_bbox: 0.3150 d0.dn_loss_iou: 0.3668 d1.dn_loss_cls: 0.1246 d1.dn_loss_bbox: 0.1876 d1.dn_loss_iou: 0.2444 d2.dn_loss_cls: 0.1101 d2.dn_loss_bbox: 0.1608 d2.dn_loss_iou: 0.2162 d3.dn_loss_cls: 0.1006 d3.dn_loss_bbox: 0.1530 d3.dn_loss_iou: 0.2098 d4.dn_loss_cls: 0.0965 d4.dn_loss_bbox: 0.1520 d4.dn_loss_iou: 0.2085 d1.loss_lmm_region: 0.1213 loss_lmm_image: 0.8173 2024/11/03 10:22:16 - mmengine - INFO - Iter(train) [ 76500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:16:07 time: 0.9690 data_time: 0.0182 memory: 20700 grad_norm: 21.3516 loss: 8.8807 loss_cls: 0.2695 loss_bbox: 0.1299 loss_iou: 0.2560 d0.loss_cls: 0.3087 d0.loss_bbox: 0.1390 d0.loss_iou: 0.2705 d1.loss_cls: 0.2887 d1.loss_bbox: 0.1314 d1.loss_iou: 0.2621 d2.loss_cls: 0.2770 d2.loss_bbox: 0.1296 d2.loss_iou: 0.2590 d3.loss_cls: 0.2753 d3.loss_bbox: 0.1279 d3.loss_iou: 0.2555 d4.loss_cls: 0.2690 d4.loss_bbox: 0.1307 d4.loss_iou: 0.2569 enc_loss_cls: 0.3262 enc_loss_bbox: 0.1519 enc_loss_iou: 0.2883 dn_loss_cls: 0.0766 dn_loss_bbox: 0.1498 dn_loss_iou: 0.2150 d0.dn_loss_cls: 0.1513 d0.dn_loss_bbox: 0.2952 d0.dn_loss_iou: 0.3580 d1.dn_loss_cls: 0.1023 d1.dn_loss_bbox: 0.1792 d1.dn_loss_iou: 0.2452 d2.dn_loss_cls: 0.0915 d2.dn_loss_bbox: 0.1564 d2.dn_loss_iou: 0.2212 d3.dn_loss_cls: 0.0835 d3.dn_loss_bbox: 0.1505 d3.dn_loss_iou: 0.2160 d4.dn_loss_cls: 0.0781 d4.dn_loss_bbox: 0.1498 d4.dn_loss_iou: 0.2150 d1.loss_lmm_region: 0.1325 loss_lmm_image: 0.8104 2024/11/03 10:23:53 - mmengine - INFO - Iter(train) [ 76600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:14:26 time: 0.9744 data_time: 0.0181 memory: 21361 grad_norm: 29.9585 loss: 8.7614 loss_cls: 0.2605 loss_bbox: 0.1229 loss_iou: 0.2107 d0.loss_cls: 0.2876 d0.loss_bbox: 0.1343 d0.loss_iou: 0.2251 d1.loss_cls: 0.2727 d1.loss_bbox: 0.1273 d1.loss_iou: 0.2144 d2.loss_cls: 0.2683 d2.loss_bbox: 0.1255 d2.loss_iou: 0.2127 d3.loss_cls: 0.2646 d3.loss_bbox: 0.1244 d3.loss_iou: 0.2108 d4.loss_cls: 0.2615 d4.loss_bbox: 0.1226 d4.loss_iou: 0.2107 enc_loss_cls: 0.3035 enc_loss_bbox: 0.1454 enc_loss_iou: 0.2441 dn_loss_cls: 0.0994 dn_loss_bbox: 0.1742 dn_loss_iou: 0.2118 d0.dn_loss_cls: 0.1842 d0.dn_loss_bbox: 0.3331 d0.dn_loss_iou: 0.3648 d1.dn_loss_cls: 0.1334 d1.dn_loss_bbox: 0.2117 d1.dn_loss_iou: 0.2469 d2.dn_loss_cls: 0.1155 d2.dn_loss_bbox: 0.1825 d2.dn_loss_iou: 0.2214 d3.dn_loss_cls: 0.1096 d3.dn_loss_bbox: 0.1745 d3.dn_loss_iou: 0.2132 d4.dn_loss_cls: 0.0998 d4.dn_loss_bbox: 0.1742 d4.dn_loss_iou: 0.2119 d1.loss_lmm_region: 0.1446 loss_lmm_image: 0.8051 2024/11/03 10:25:30 - mmengine - INFO - Iter(train) [ 76700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:12:45 time: 0.9790 data_time: 0.0182 memory: 21073 grad_norm: 23.8503 loss: 10.5355 loss_cls: 0.3468 loss_bbox: 0.1754 loss_iou: 0.3238 d0.loss_cls: 0.3844 d0.loss_bbox: 0.1896 d0.loss_iou: 0.3383 d1.loss_cls: 0.3680 d1.loss_bbox: 0.1751 d1.loss_iou: 0.3264 d2.loss_cls: 0.3551 d2.loss_bbox: 0.1783 d2.loss_iou: 0.3296 d3.loss_cls: 0.3562 d3.loss_bbox: 0.1753 d3.loss_iou: 0.3214 d4.loss_cls: 0.3512 d4.loss_bbox: 0.1741 d4.loss_iou: 0.3224 enc_loss_cls: 0.4090 enc_loss_bbox: 0.1982 enc_loss_iou: 0.3597 dn_loss_cls: 0.0829 dn_loss_bbox: 0.1714 dn_loss_iou: 0.2282 d0.dn_loss_cls: 0.1712 d0.dn_loss_bbox: 0.3187 d0.dn_loss_iou: 0.3789 d1.dn_loss_cls: 0.1155 d1.dn_loss_bbox: 0.2020 d1.dn_loss_iou: 0.2633 d2.dn_loss_cls: 0.0949 d2.dn_loss_bbox: 0.1781 d2.dn_loss_iou: 0.2379 d3.dn_loss_cls: 0.0868 d3.dn_loss_bbox: 0.1718 d3.dn_loss_iou: 0.2297 d4.dn_loss_cls: 0.0837 d4.dn_loss_bbox: 0.1713 d4.dn_loss_iou: 0.2281 d1.loss_lmm_region: 0.1421 loss_lmm_image: 0.8207 2024/11/03 10:27:08 - mmengine - INFO - Iter(train) [ 76800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:11:04 time: 0.9727 data_time: 0.0182 memory: 19951 grad_norm: 23.5245 loss: 10.0318 loss_cls: 0.3160 loss_bbox: 0.1593 loss_iou: 0.3075 d0.loss_cls: 0.3564 d0.loss_bbox: 0.1831 d0.loss_iou: 0.3294 d1.loss_cls: 0.3419 d1.loss_bbox: 0.1670 d1.loss_iou: 0.3175 d2.loss_cls: 0.3344 d2.loss_bbox: 0.1591 d2.loss_iou: 0.3080 d3.loss_cls: 0.3238 d3.loss_bbox: 0.1602 d3.loss_iou: 0.3092 d4.loss_cls: 0.3169 d4.loss_bbox: 0.1598 d4.loss_iou: 0.3075 enc_loss_cls: 0.3827 enc_loss_bbox: 0.1927 enc_loss_iou: 0.3441 dn_loss_cls: 0.0796 dn_loss_bbox: 0.1687 dn_loss_iou: 0.2344 d0.dn_loss_cls: 0.1642 d0.dn_loss_bbox: 0.3098 d0.dn_loss_iou: 0.3810 d1.dn_loss_cls: 0.1072 d1.dn_loss_bbox: 0.1983 d1.dn_loss_iou: 0.2653 d2.dn_loss_cls: 0.0914 d2.dn_loss_bbox: 0.1753 d2.dn_loss_iou: 0.2418 d3.dn_loss_cls: 0.0837 d3.dn_loss_bbox: 0.1689 d3.dn_loss_iou: 0.2353 d4.dn_loss_cls: 0.0802 d4.dn_loss_bbox: 0.1687 d4.dn_loss_iou: 0.2343 d1.loss_lmm_region: 0.1159 loss_lmm_image: 0.7513 2024/11/03 10:28:45 - mmengine - INFO - Iter(train) [ 76900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:09:23 time: 0.9751 data_time: 0.0182 memory: 20958 grad_norm: 25.8998 loss: 9.2127 loss_cls: 0.2848 loss_bbox: 0.1267 loss_iou: 0.2523 d0.loss_cls: 0.3141 d0.loss_bbox: 0.1416 d0.loss_iou: 0.2710 d1.loss_cls: 0.2977 d1.loss_bbox: 0.1314 d1.loss_iou: 0.2607 d2.loss_cls: 0.2916 d2.loss_bbox: 0.1278 d2.loss_iou: 0.2552 d3.loss_cls: 0.2869 d3.loss_bbox: 0.1266 d3.loss_iou: 0.2529 d4.loss_cls: 0.2846 d4.loss_bbox: 0.1263 d4.loss_iou: 0.2522 enc_loss_cls: 0.3254 enc_loss_bbox: 0.1520 enc_loss_iou: 0.2887 dn_loss_cls: 0.0874 dn_loss_bbox: 0.1562 dn_loss_iou: 0.2276 d0.dn_loss_cls: 0.1716 d0.dn_loss_bbox: 0.3121 d0.dn_loss_iou: 0.3861 d1.dn_loss_cls: 0.1175 d1.dn_loss_bbox: 0.1937 d1.dn_loss_iou: 0.2666 d2.dn_loss_cls: 0.1024 d2.dn_loss_bbox: 0.1648 d2.dn_loss_iou: 0.2375 d3.dn_loss_cls: 0.0924 d3.dn_loss_bbox: 0.1578 d3.dn_loss_iou: 0.2292 d4.dn_loss_cls: 0.0880 d4.dn_loss_bbox: 0.1562 d4.dn_loss_iou: 0.2277 d1.loss_lmm_region: 0.1431 loss_lmm_image: 0.8443 2024/11/03 10:30:22 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 10:30:22 - mmengine - INFO - Iter(train) [ 77000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:07:42 time: 0.9607 data_time: 0.0182 memory: 21832 grad_norm: 23.6291 loss: 9.8567 loss_cls: 0.3009 loss_bbox: 0.1367 loss_iou: 0.2391 d0.loss_cls: 0.3275 d0.loss_bbox: 0.1502 d0.loss_iou: 0.2520 d1.loss_cls: 0.3167 d1.loss_bbox: 0.1427 d1.loss_iou: 0.2433 d2.loss_cls: 0.3135 d2.loss_bbox: 0.1348 d2.loss_iou: 0.2386 d3.loss_cls: 0.3058 d3.loss_bbox: 0.1374 d3.loss_iou: 0.2395 d4.loss_cls: 0.3013 d4.loss_bbox: 0.1368 d4.loss_iou: 0.2404 enc_loss_cls: 0.3399 enc_loss_bbox: 0.1633 enc_loss_iou: 0.2701 dn_loss_cls: 0.1324 dn_loss_bbox: 0.1952 dn_loss_iou: 0.2336 d0.dn_loss_cls: 0.2193 d0.dn_loss_bbox: 0.3689 d0.dn_loss_iou: 0.3993 d1.dn_loss_cls: 0.1712 d1.dn_loss_bbox: 0.2365 d1.dn_loss_iou: 0.2709 d2.dn_loss_cls: 0.1457 d2.dn_loss_bbox: 0.2044 d2.dn_loss_iou: 0.2435 d3.dn_loss_cls: 0.1359 d3.dn_loss_bbox: 0.1983 d3.dn_loss_iou: 0.2359 d4.dn_loss_cls: 0.1338 d4.dn_loss_bbox: 0.1953 d4.dn_loss_iou: 0.2335 d1.loss_lmm_region: 0.1470 loss_lmm_image: 0.8257 2024/11/03 10:32:00 - mmengine - INFO - Iter(train) [ 77100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:06:01 time: 0.9784 data_time: 0.0184 memory: 20418 grad_norm: 21.6923 loss: 9.2996 loss_cls: 0.2810 loss_bbox: 0.1488 loss_iou: 0.2648 d0.loss_cls: 0.3175 d0.loss_bbox: 0.1590 d0.loss_iou: 0.2802 d1.loss_cls: 0.3008 d1.loss_bbox: 0.1514 d1.loss_iou: 0.2712 d2.loss_cls: 0.2895 d2.loss_bbox: 0.1495 d2.loss_iou: 0.2688 d3.loss_cls: 0.2857 d3.loss_bbox: 0.1478 d3.loss_iou: 0.2659 d4.loss_cls: 0.2809 d4.loss_bbox: 0.1494 d4.loss_iou: 0.2654 enc_loss_cls: 0.3442 enc_loss_bbox: 0.1718 enc_loss_iou: 0.3072 dn_loss_cls: 0.0803 dn_loss_bbox: 0.1673 dn_loss_iou: 0.2124 d0.dn_loss_cls: 0.1601 d0.dn_loss_bbox: 0.3209 d0.dn_loss_iou: 0.3592 d1.dn_loss_cls: 0.1097 d1.dn_loss_bbox: 0.1990 d1.dn_loss_iou: 0.2449 d2.dn_loss_cls: 0.0947 d2.dn_loss_bbox: 0.1764 d2.dn_loss_iou: 0.2214 d3.dn_loss_cls: 0.0838 d3.dn_loss_bbox: 0.1686 d3.dn_loss_iou: 0.2141 d4.dn_loss_cls: 0.0807 d4.dn_loss_bbox: 0.1673 d4.dn_loss_iou: 0.2124 d1.loss_lmm_region: 0.1318 loss_lmm_image: 0.7941 2024/11/03 10:33:37 - mmengine - INFO - Iter(train) [ 77200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:04:20 time: 0.9743 data_time: 0.0184 memory: 20798 grad_norm: 21.5148 loss: 9.4369 loss_cls: 0.2911 loss_bbox: 0.1457 loss_iou: 0.2672 d0.loss_cls: 0.3288 d0.loss_bbox: 0.1627 d0.loss_iou: 0.2842 d1.loss_cls: 0.3091 d1.loss_bbox: 0.1491 d1.loss_iou: 0.2713 d2.loss_cls: 0.2976 d2.loss_bbox: 0.1456 d2.loss_iou: 0.2669 d3.loss_cls: 0.2981 d3.loss_bbox: 0.1442 d3.loss_iou: 0.2665 d4.loss_cls: 0.2927 d4.loss_bbox: 0.1450 d4.loss_iou: 0.2670 enc_loss_cls: 0.3434 enc_loss_bbox: 0.1757 enc_loss_iou: 0.3083 dn_loss_cls: 0.0765 dn_loss_bbox: 0.1706 dn_loss_iou: 0.2180 d0.dn_loss_cls: 0.1621 d0.dn_loss_bbox: 0.3118 d0.dn_loss_iou: 0.3627 d1.dn_loss_cls: 0.1059 d1.dn_loss_bbox: 0.2034 d1.dn_loss_iou: 0.2493 d2.dn_loss_cls: 0.0906 d2.dn_loss_bbox: 0.1807 d2.dn_loss_iou: 0.2262 d3.dn_loss_cls: 0.0811 d3.dn_loss_bbox: 0.1717 d3.dn_loss_iou: 0.2194 d4.dn_loss_cls: 0.0781 d4.dn_loss_bbox: 0.1706 d4.dn_loss_iou: 0.2181 d1.loss_lmm_region: 0.1341 loss_lmm_image: 0.8460 2024/11/03 10:35:16 - mmengine - INFO - Iter(train) [ 77300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:02:40 time: 0.9871 data_time: 0.0187 memory: 20700 grad_norm: 21.8562 loss: 9.3315 loss_cls: 0.2558 loss_bbox: 0.1546 loss_iou: 0.2540 d0.loss_cls: 0.2982 d0.loss_bbox: 0.1564 d0.loss_iou: 0.2665 d1.loss_cls: 0.2768 d1.loss_bbox: 0.1560 d1.loss_iou: 0.2594 d2.loss_cls: 0.2641 d2.loss_bbox: 0.1586 d2.loss_iou: 0.2573 d3.loss_cls: 0.2653 d3.loss_bbox: 0.1557 d3.loss_iou: 0.2540 d4.loss_cls: 0.2566 d4.loss_bbox: 0.1554 d4.loss_iou: 0.2556 enc_loss_cls: 0.3143 enc_loss_bbox: 0.1671 enc_loss_iou: 0.2851 dn_loss_cls: 0.0867 dn_loss_bbox: 0.1893 dn_loss_iou: 0.2209 d0.dn_loss_cls: 0.1639 d0.dn_loss_bbox: 0.3634 d0.dn_loss_iou: 0.3668 d1.dn_loss_cls: 0.1131 d1.dn_loss_bbox: 0.2292 d1.dn_loss_iou: 0.2537 d2.dn_loss_cls: 0.0965 d2.dn_loss_bbox: 0.2012 d2.dn_loss_iou: 0.2289 d3.dn_loss_cls: 0.0900 d3.dn_loss_bbox: 0.1907 d3.dn_loss_iou: 0.2217 d4.dn_loss_cls: 0.0876 d4.dn_loss_bbox: 0.1892 d4.dn_loss_iou: 0.2208 d1.loss_lmm_region: 0.1228 loss_lmm_image: 0.8281 2024/11/03 10:36:54 - mmengine - INFO - Iter(train) [ 77400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:00:59 time: 0.9809 data_time: 0.0182 memory: 20965 grad_norm: 25.0624 loss: 9.9133 loss_cls: 0.3367 loss_bbox: 0.1430 loss_iou: 0.2561 d0.loss_cls: 0.3644 d0.loss_bbox: 0.1688 d0.loss_iou: 0.2822 d1.loss_cls: 0.3513 d1.loss_bbox: 0.1551 d1.loss_iou: 0.2670 d2.loss_cls: 0.3426 d2.loss_bbox: 0.1517 d2.loss_iou: 0.2603 d3.loss_cls: 0.3406 d3.loss_bbox: 0.1470 d3.loss_iou: 0.2572 d4.loss_cls: 0.3353 d4.loss_bbox: 0.1470 d4.loss_iou: 0.2574 enc_loss_cls: 0.3884 enc_loss_bbox: 0.1817 enc_loss_iou: 0.3034 dn_loss_cls: 0.0873 dn_loss_bbox: 0.1806 dn_loss_iou: 0.2321 d0.dn_loss_cls: 0.1857 d0.dn_loss_bbox: 0.3399 d0.dn_loss_iou: 0.3882 d1.dn_loss_cls: 0.1256 d1.dn_loss_bbox: 0.2154 d1.dn_loss_iou: 0.2660 d2.dn_loss_cls: 0.1046 d2.dn_loss_bbox: 0.1914 d2.dn_loss_iou: 0.2407 d3.dn_loss_cls: 0.0928 d3.dn_loss_bbox: 0.1828 d3.dn_loss_iou: 0.2338 d4.dn_loss_cls: 0.0872 d4.dn_loss_bbox: 0.1806 d4.dn_loss_iou: 0.2322 d1.loss_lmm_region: 0.1356 loss_lmm_image: 0.7733 2024/11/03 10:38:31 - mmengine - INFO - Iter(train) [ 77500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:59:18 time: 0.9689 data_time: 0.0185 memory: 21266 grad_norm: 23.5871 loss: 9.2009 loss_cls: 0.2642 loss_bbox: 0.1424 loss_iou: 0.2450 d0.loss_cls: 0.2936 d0.loss_bbox: 0.1582 d0.loss_iou: 0.2600 d1.loss_cls: 0.2789 d1.loss_bbox: 0.1487 d1.loss_iou: 0.2472 d2.loss_cls: 0.2708 d2.loss_bbox: 0.1451 d2.loss_iou: 0.2467 d3.loss_cls: 0.2681 d3.loss_bbox: 0.1426 d3.loss_iou: 0.2468 d4.loss_cls: 0.2651 d4.loss_bbox: 0.1413 d4.loss_iou: 0.2449 enc_loss_cls: 0.3134 enc_loss_bbox: 0.1696 enc_loss_iou: 0.2823 dn_loss_cls: 0.0838 dn_loss_bbox: 0.1717 dn_loss_iou: 0.2212 d0.dn_loss_cls: 0.1804 d0.dn_loss_bbox: 0.3301 d0.dn_loss_iou: 0.3790 d1.dn_loss_cls: 0.1201 d1.dn_loss_bbox: 0.2094 d1.dn_loss_iou: 0.2572 d2.dn_loss_cls: 0.1025 d2.dn_loss_bbox: 0.1807 d2.dn_loss_iou: 0.2300 d3.dn_loss_cls: 0.0904 d3.dn_loss_bbox: 0.1739 d3.dn_loss_iou: 0.2228 d4.dn_loss_cls: 0.0847 d4.dn_loss_bbox: 0.1718 d4.dn_loss_iou: 0.2210 d1.loss_lmm_region: 0.1415 loss_lmm_image: 0.8537 2024/11/03 10:40:08 - mmengine - INFO - Iter(train) [ 77600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:57:36 time: 0.9601 data_time: 0.0182 memory: 21511 grad_norm: 21.8983 loss: 8.8388 loss_cls: 0.2798 loss_bbox: 0.1248 loss_iou: 0.2185 d0.loss_cls: 0.3214 d0.loss_bbox: 0.1373 d0.loss_iou: 0.2315 d1.loss_cls: 0.2983 d1.loss_bbox: 0.1310 d1.loss_iou: 0.2253 d2.loss_cls: 0.2952 d2.loss_bbox: 0.1247 d2.loss_iou: 0.2177 d3.loss_cls: 0.2883 d3.loss_bbox: 0.1240 d3.loss_iou: 0.2174 d4.loss_cls: 0.2809 d4.loss_bbox: 0.1253 d4.loss_iou: 0.2196 enc_loss_cls: 0.3432 enc_loss_bbox: 0.1568 enc_loss_iou: 0.2562 dn_loss_cls: 0.0906 dn_loss_bbox: 0.1642 dn_loss_iou: 0.2007 d0.dn_loss_cls: 0.1724 d0.dn_loss_bbox: 0.3329 d0.dn_loss_iou: 0.3490 d1.dn_loss_cls: 0.1198 d1.dn_loss_bbox: 0.2057 d1.dn_loss_iou: 0.2358 d2.dn_loss_cls: 0.1034 d2.dn_loss_bbox: 0.1787 d2.dn_loss_iou: 0.2117 d3.dn_loss_cls: 0.0953 d3.dn_loss_bbox: 0.1669 d3.dn_loss_iou: 0.2024 d4.dn_loss_cls: 0.0907 d4.dn_loss_bbox: 0.1642 d4.dn_loss_iou: 0.2006 d1.loss_lmm_region: 0.1502 loss_lmm_image: 0.7863 2024/11/03 10:41:45 - mmengine - INFO - Iter(train) [ 77700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:55:55 time: 0.9611 data_time: 0.0183 memory: 20501 grad_norm: 23.1746 loss: 8.6092 loss_cls: 0.2645 loss_bbox: 0.1253 loss_iou: 0.2511 d0.loss_cls: 0.3028 d0.loss_bbox: 0.1358 d0.loss_iou: 0.2682 d1.loss_cls: 0.2832 d1.loss_bbox: 0.1307 d1.loss_iou: 0.2578 d2.loss_cls: 0.2743 d2.loss_bbox: 0.1275 d2.loss_iou: 0.2538 d3.loss_cls: 0.2671 d3.loss_bbox: 0.1264 d3.loss_iou: 0.2533 d4.loss_cls: 0.2616 d4.loss_bbox: 0.1271 d4.loss_iou: 0.2526 enc_loss_cls: 0.3176 enc_loss_bbox: 0.1529 enc_loss_iou: 0.2918 dn_loss_cls: 0.0704 dn_loss_bbox: 0.1399 dn_loss_iou: 0.2025 d0.dn_loss_cls: 0.1420 d0.dn_loss_bbox: 0.2796 d0.dn_loss_iou: 0.3413 d1.dn_loss_cls: 0.0910 d1.dn_loss_bbox: 0.1709 d1.dn_loss_iou: 0.2336 d2.dn_loss_cls: 0.0786 d2.dn_loss_bbox: 0.1476 d2.dn_loss_iou: 0.2111 d3.dn_loss_cls: 0.0733 d3.dn_loss_bbox: 0.1409 d3.dn_loss_iou: 0.2038 d4.dn_loss_cls: 0.0703 d4.dn_loss_bbox: 0.1399 d4.dn_loss_iou: 0.2024 d1.loss_lmm_region: 0.1312 loss_lmm_image: 0.8135 2024/11/03 10:43:23 - mmengine - INFO - Iter(train) [ 77800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:54:15 time: 0.9912 data_time: 0.0183 memory: 20448 grad_norm: 21.7985 loss: 9.1108 loss_cls: 0.2839 loss_bbox: 0.1307 loss_iou: 0.2224 d0.loss_cls: 0.3180 d0.loss_bbox: 0.1498 d0.loss_iou: 0.2430 d1.loss_cls: 0.3014 d1.loss_bbox: 0.1365 d1.loss_iou: 0.2290 d2.loss_cls: 0.2920 d2.loss_bbox: 0.1359 d2.loss_iou: 0.2257 d3.loss_cls: 0.2880 d3.loss_bbox: 0.1340 d3.loss_iou: 0.2242 d4.loss_cls: 0.2864 d4.loss_bbox: 0.1304 d4.loss_iou: 0.2243 enc_loss_cls: 0.3381 enc_loss_bbox: 0.1599 enc_loss_iou: 0.2658 dn_loss_cls: 0.0908 dn_loss_bbox: 0.1766 dn_loss_iou: 0.2148 d0.dn_loss_cls: 0.1813 d0.dn_loss_bbox: 0.3495 d0.dn_loss_iou: 0.3710 d1.dn_loss_cls: 0.1220 d1.dn_loss_bbox: 0.2167 d1.dn_loss_iou: 0.2497 d2.dn_loss_cls: 0.1045 d2.dn_loss_bbox: 0.1872 d2.dn_loss_iou: 0.2242 d3.dn_loss_cls: 0.0961 d3.dn_loss_bbox: 0.1781 d3.dn_loss_iou: 0.2158 d4.dn_loss_cls: 0.0914 d4.dn_loss_bbox: 0.1766 d4.dn_loss_iou: 0.2148 d1.loss_lmm_region: 0.1223 loss_lmm_image: 0.8081 2024/11/03 10:44:59 - mmengine - INFO - Iter(train) [ 77900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:52:33 time: 0.9544 data_time: 0.0182 memory: 20874 grad_norm: 22.7905 loss: 9.3059 loss_cls: 0.2765 loss_bbox: 0.1472 loss_iou: 0.2622 d0.loss_cls: 0.3093 d0.loss_bbox: 0.1561 d0.loss_iou: 0.2774 d1.loss_cls: 0.2880 d1.loss_bbox: 0.1552 d1.loss_iou: 0.2719 d2.loss_cls: 0.2826 d2.loss_bbox: 0.1515 d2.loss_iou: 0.2642 d3.loss_cls: 0.2767 d3.loss_bbox: 0.1501 d3.loss_iou: 0.2645 d4.loss_cls: 0.2785 d4.loss_bbox: 0.1467 d4.loss_iou: 0.2608 enc_loss_cls: 0.3250 enc_loss_bbox: 0.1779 enc_loss_iou: 0.2999 dn_loss_cls: 0.0768 dn_loss_bbox: 0.1711 dn_loss_iou: 0.2246 d0.dn_loss_cls: 0.1538 d0.dn_loss_bbox: 0.3295 d0.dn_loss_iou: 0.3761 d1.dn_loss_cls: 0.1033 d1.dn_loss_bbox: 0.2027 d1.dn_loss_iou: 0.2558 d2.dn_loss_cls: 0.0869 d2.dn_loss_bbox: 0.1790 d2.dn_loss_iou: 0.2326 d3.dn_loss_cls: 0.0794 d3.dn_loss_bbox: 0.1719 d3.dn_loss_iou: 0.2255 d4.dn_loss_cls: 0.0782 d4.dn_loss_bbox: 0.1711 d4.dn_loss_iou: 0.2246 d1.loss_lmm_region: 0.1170 loss_lmm_image: 0.8239 2024/11/03 10:46:37 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 10:46:37 - mmengine - INFO - Iter(train) [ 78000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:50:52 time: 0.9782 data_time: 0.0182 memory: 20955 grad_norm: 21.1022 loss: 10.3801 loss_cls: 0.3529 loss_bbox: 0.1544 loss_iou: 0.2720 d0.loss_cls: 0.3913 d0.loss_bbox: 0.1778 d0.loss_iou: 0.2932 d1.loss_cls: 0.3757 d1.loss_bbox: 0.1644 d1.loss_iou: 0.2787 d2.loss_cls: 0.3615 d2.loss_bbox: 0.1632 d2.loss_iou: 0.2748 d3.loss_cls: 0.3562 d3.loss_bbox: 0.1633 d3.loss_iou: 0.2758 d4.loss_cls: 0.3555 d4.loss_bbox: 0.1555 d4.loss_iou: 0.2723 enc_loss_cls: 0.4098 enc_loss_bbox: 0.1854 enc_loss_iou: 0.3101 dn_loss_cls: 0.1139 dn_loss_bbox: 0.1703 dn_loss_iou: 0.2277 d0.dn_loss_cls: 0.2191 d0.dn_loss_bbox: 0.3333 d0.dn_loss_iou: 0.3759 d1.dn_loss_cls: 0.1561 d1.dn_loss_bbox: 0.2078 d1.dn_loss_iou: 0.2612 d2.dn_loss_cls: 0.1341 d2.dn_loss_bbox: 0.1812 d2.dn_loss_iou: 0.2369 d3.dn_loss_cls: 0.1206 d3.dn_loss_bbox: 0.1725 d3.dn_loss_iou: 0.2297 d4.dn_loss_cls: 0.1145 d4.dn_loss_bbox: 0.1703 d4.dn_loss_iou: 0.2278 d1.loss_lmm_region: 0.1641 loss_lmm_image: 0.8193 2024/11/03 10:48:15 - mmengine - INFO - Iter(train) [ 78100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:49:12 time: 0.9700 data_time: 0.0182 memory: 20146 grad_norm: 33.6078 loss: 10.1898 loss_cls: 0.2876 loss_bbox: 0.1530 loss_iou: 0.2922 d0.loss_cls: 0.3322 d0.loss_bbox: 0.1656 d0.loss_iou: 0.3100 d1.loss_cls: 0.3103 d1.loss_bbox: 0.1557 d1.loss_iou: 0.2981 d2.loss_cls: 0.2991 d2.loss_bbox: 0.1540 d2.loss_iou: 0.2969 d3.loss_cls: 0.2950 d3.loss_bbox: 0.1528 d3.loss_iou: 0.2930 d4.loss_cls: 0.2910 d4.loss_bbox: 0.1521 d4.loss_iou: 0.2905 enc_loss_cls: 0.3515 enc_loss_bbox: 0.1765 enc_loss_iou: 0.3265 dn_loss_cls: 0.0872 dn_loss_bbox: 0.2020 dn_loss_iou: 0.2481 d0.dn_loss_cls: 0.1827 d0.dn_loss_bbox: 0.3724 d0.dn_loss_iou: 0.4064 d1.dn_loss_cls: 0.1215 d1.dn_loss_bbox: 0.2395 d1.dn_loss_iou: 0.2816 d2.dn_loss_cls: 0.1014 d2.dn_loss_bbox: 0.2149 d2.dn_loss_iou: 0.2573 d3.dn_loss_cls: 0.0923 d3.dn_loss_bbox: 0.2037 d3.dn_loss_iou: 0.2497 d4.dn_loss_cls: 0.0882 d4.dn_loss_bbox: 0.2020 d4.dn_loss_iou: 0.2480 d1.loss_lmm_region: 0.1581 loss_lmm_image: 0.8491 2024/11/03 10:49:52 - mmengine - INFO - Iter(train) [ 78200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:47:31 time: 0.9717 data_time: 0.0182 memory: 21088 grad_norm: 21.0730 loss: 8.9296 loss_cls: 0.2713 loss_bbox: 0.1286 loss_iou: 0.2607 d0.loss_cls: 0.3026 d0.loss_bbox: 0.1359 d0.loss_iou: 0.2722 d1.loss_cls: 0.2893 d1.loss_bbox: 0.1279 d1.loss_iou: 0.2644 d2.loss_cls: 0.2782 d2.loss_bbox: 0.1294 d2.loss_iou: 0.2631 d3.loss_cls: 0.2762 d3.loss_bbox: 0.1303 d3.loss_iou: 0.2611 d4.loss_cls: 0.2737 d4.loss_bbox: 0.1273 d4.loss_iou: 0.2602 enc_loss_cls: 0.3216 enc_loss_bbox: 0.1486 enc_loss_iou: 0.2958 dn_loss_cls: 0.0849 dn_loss_bbox: 0.1517 dn_loss_iou: 0.2143 d0.dn_loss_cls: 0.1612 d0.dn_loss_bbox: 0.2948 d0.dn_loss_iou: 0.3636 d1.dn_loss_cls: 0.1079 d1.dn_loss_bbox: 0.1835 d1.dn_loss_iou: 0.2477 d2.dn_loss_cls: 0.0945 d2.dn_loss_bbox: 0.1598 d2.dn_loss_iou: 0.2225 d3.dn_loss_cls: 0.0873 d3.dn_loss_bbox: 0.1524 d3.dn_loss_iou: 0.2152 d4.dn_loss_cls: 0.0851 d4.dn_loss_bbox: 0.1516 d4.dn_loss_iou: 0.2143 d1.loss_lmm_region: 0.1439 loss_lmm_image: 0.7748 2024/11/03 10:51:30 - mmengine - INFO - Iter(train) [ 78300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:45:50 time: 0.9760 data_time: 0.0182 memory: 21807 grad_norm: 22.5667 loss: 8.9840 loss_cls: 0.2713 loss_bbox: 0.1324 loss_iou: 0.2199 d0.loss_cls: 0.2911 d0.loss_bbox: 0.1587 d0.loss_iou: 0.2405 d1.loss_cls: 0.2839 d1.loss_bbox: 0.1479 d1.loss_iou: 0.2277 d2.loss_cls: 0.2793 d2.loss_bbox: 0.1387 d2.loss_iou: 0.2237 d3.loss_cls: 0.2785 d3.loss_bbox: 0.1331 d3.loss_iou: 0.2209 d4.loss_cls: 0.2729 d4.loss_bbox: 0.1333 d4.loss_iou: 0.2205 enc_loss_cls: 0.3075 enc_loss_bbox: 0.1726 enc_loss_iou: 0.2623 dn_loss_cls: 0.0818 dn_loss_bbox: 0.1790 dn_loss_iou: 0.2089 d0.dn_loss_cls: 0.1765 d0.dn_loss_bbox: 0.3548 d0.dn_loss_iou: 0.3696 d1.dn_loss_cls: 0.1198 d1.dn_loss_bbox: 0.2251 d1.dn_loss_iou: 0.2482 d2.dn_loss_cls: 0.1011 d2.dn_loss_bbox: 0.1953 d2.dn_loss_iou: 0.2208 d3.dn_loss_cls: 0.0855 d3.dn_loss_bbox: 0.1816 d3.dn_loss_iou: 0.2105 d4.dn_loss_cls: 0.0823 d4.dn_loss_bbox: 0.1791 d4.dn_loss_iou: 0.2089 d1.loss_lmm_region: 0.1450 loss_lmm_image: 0.7935 2024/11/03 10:53:06 - mmengine - INFO - Iter(train) [ 78400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:44:08 time: 0.9684 data_time: 0.0183 memory: 20966 grad_norm: 24.3456 loss: 9.6550 loss_cls: 0.2769 loss_bbox: 0.1576 loss_iou: 0.2616 d0.loss_cls: 0.3162 d0.loss_bbox: 0.1690 d0.loss_iou: 0.2777 d1.loss_cls: 0.2994 d1.loss_bbox: 0.1624 d1.loss_iou: 0.2674 d2.loss_cls: 0.2835 d2.loss_bbox: 0.1633 d2.loss_iou: 0.2668 d3.loss_cls: 0.2840 d3.loss_bbox: 0.1587 d3.loss_iou: 0.2624 d4.loss_cls: 0.2813 d4.loss_bbox: 0.1560 d4.loss_iou: 0.2591 enc_loss_cls: 0.3311 enc_loss_bbox: 0.1869 enc_loss_iou: 0.3036 dn_loss_cls: 0.0807 dn_loss_bbox: 0.1938 dn_loss_iou: 0.2342 d0.dn_loss_cls: 0.1668 d0.dn_loss_bbox: 0.3584 d0.dn_loss_iou: 0.3888 d1.dn_loss_cls: 0.1153 d1.dn_loss_bbox: 0.2302 d1.dn_loss_iou: 0.2703 d2.dn_loss_cls: 0.0971 d2.dn_loss_bbox: 0.2045 d2.dn_loss_iou: 0.2443 d3.dn_loss_cls: 0.0877 d3.dn_loss_bbox: 0.1950 d3.dn_loss_iou: 0.2357 d4.dn_loss_cls: 0.0826 d4.dn_loss_bbox: 0.1938 d4.dn_loss_iou: 0.2342 d1.loss_lmm_region: 0.1307 loss_lmm_image: 0.7857 2024/11/03 10:54:44 - mmengine - INFO - Iter(train) [ 78500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:42:28 time: 0.9723 data_time: 0.0183 memory: 20902 grad_norm: 34.9202 loss: 9.3598 loss_cls: 0.2795 loss_bbox: 0.1510 loss_iou: 0.2568 d0.loss_cls: 0.3076 d0.loss_bbox: 0.1680 d0.loss_iou: 0.2753 d1.loss_cls: 0.2913 d1.loss_bbox: 0.1579 d1.loss_iou: 0.2634 d2.loss_cls: 0.2839 d2.loss_bbox: 0.1544 d2.loss_iou: 0.2588 d3.loss_cls: 0.2800 d3.loss_bbox: 0.1531 d3.loss_iou: 0.2577 d4.loss_cls: 0.2771 d4.loss_bbox: 0.1543 d4.loss_iou: 0.2583 enc_loss_cls: 0.3239 enc_loss_bbox: 0.1805 enc_loss_iou: 0.2939 dn_loss_cls: 0.0960 dn_loss_bbox: 0.1796 dn_loss_iou: 0.2171 d0.dn_loss_cls: 0.1781 d0.dn_loss_bbox: 0.3215 d0.dn_loss_iou: 0.3554 d1.dn_loss_cls: 0.1255 d1.dn_loss_bbox: 0.2069 d1.dn_loss_iou: 0.2456 d2.dn_loss_cls: 0.1096 d2.dn_loss_bbox: 0.1870 d2.dn_loss_iou: 0.2253 d3.dn_loss_cls: 0.1017 d3.dn_loss_bbox: 0.1803 d3.dn_loss_iou: 0.2183 d4.dn_loss_cls: 0.0976 d4.dn_loss_bbox: 0.1796 d4.dn_loss_iou: 0.2171 d1.loss_lmm_region: 0.1332 loss_lmm_image: 0.7576 2024/11/03 10:56:21 - mmengine - INFO - Iter(train) [ 78600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:40:47 time: 0.9750 data_time: 0.0183 memory: 21209 grad_norm: 20.7264 loss: 10.5610 loss_cls: 0.3473 loss_bbox: 0.1685 loss_iou: 0.3163 d0.loss_cls: 0.3881 d0.loss_bbox: 0.1736 d0.loss_iou: 0.3265 d1.loss_cls: 0.3647 d1.loss_bbox: 0.1684 d1.loss_iou: 0.3203 d2.loss_cls: 0.3556 d2.loss_bbox: 0.1696 d2.loss_iou: 0.3186 d3.loss_cls: 0.3529 d3.loss_bbox: 0.1660 d3.loss_iou: 0.3150 d4.loss_cls: 0.3475 d4.loss_bbox: 0.1686 d4.loss_iou: 0.3153 enc_loss_cls: 0.4069 enc_loss_bbox: 0.1895 enc_loss_iou: 0.3576 dn_loss_cls: 0.0916 dn_loss_bbox: 0.1701 dn_loss_iou: 0.2419 d0.dn_loss_cls: 0.1817 d0.dn_loss_bbox: 0.3451 d0.dn_loss_iou: 0.4074 d1.dn_loss_cls: 0.1236 d1.dn_loss_bbox: 0.2114 d1.dn_loss_iou: 0.2800 d2.dn_loss_cls: 0.1072 d2.dn_loss_bbox: 0.1823 d2.dn_loss_iou: 0.2530 d3.dn_loss_cls: 0.0964 d3.dn_loss_bbox: 0.1718 d3.dn_loss_iou: 0.2435 d4.dn_loss_cls: 0.0928 d4.dn_loss_bbox: 0.1701 d4.dn_loss_iou: 0.2419 d1.loss_lmm_region: 0.1295 loss_lmm_image: 0.7826 2024/11/03 10:57:59 - mmengine - INFO - Iter(train) [ 78700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:39:06 time: 0.9839 data_time: 0.0183 memory: 21701 grad_norm: 23.5026 loss: 9.4441 loss_cls: 0.2694 loss_bbox: 0.1391 loss_iou: 0.2547 d0.loss_cls: 0.3060 d0.loss_bbox: 0.1545 d0.loss_iou: 0.2704 d1.loss_cls: 0.2921 d1.loss_bbox: 0.1385 d1.loss_iou: 0.2581 d2.loss_cls: 0.2838 d2.loss_bbox: 0.1366 d2.loss_iou: 0.2534 d3.loss_cls: 0.2790 d3.loss_bbox: 0.1365 d3.loss_iou: 0.2504 d4.loss_cls: 0.2727 d4.loss_bbox: 0.1383 d4.loss_iou: 0.2531 enc_loss_cls: 0.3233 enc_loss_bbox: 0.1702 enc_loss_iou: 0.2926 dn_loss_cls: 0.0865 dn_loss_bbox: 0.1934 dn_loss_iou: 0.2263 d0.dn_loss_cls: 0.1745 d0.dn_loss_bbox: 0.3770 d0.dn_loss_iou: 0.3855 d1.dn_loss_cls: 0.1228 d1.dn_loss_bbox: 0.2386 d1.dn_loss_iou: 0.2647 d2.dn_loss_cls: 0.1049 d2.dn_loss_bbox: 0.2045 d2.dn_loss_iou: 0.2367 d3.dn_loss_cls: 0.0940 d3.dn_loss_bbox: 0.1964 d3.dn_loss_iou: 0.2284 d4.dn_loss_cls: 0.0875 d4.dn_loss_bbox: 0.1936 d4.dn_loss_iou: 0.2264 d1.loss_lmm_region: 0.1346 loss_lmm_image: 0.7949 2024/11/03 10:59:37 - mmengine - INFO - Iter(train) [ 78800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:37:26 time: 0.9774 data_time: 0.0182 memory: 21041 grad_norm: 21.6452 loss: 9.8719 loss_cls: 0.2934 loss_bbox: 0.1589 loss_iou: 0.2789 d0.loss_cls: 0.3201 d0.loss_bbox: 0.1744 d0.loss_iou: 0.2949 d1.loss_cls: 0.3066 d1.loss_bbox: 0.1661 d1.loss_iou: 0.2907 d2.loss_cls: 0.3014 d2.loss_bbox: 0.1632 d2.loss_iou: 0.2829 d3.loss_cls: 0.2994 d3.loss_bbox: 0.1586 d3.loss_iou: 0.2786 d4.loss_cls: 0.2972 d4.loss_bbox: 0.1561 d4.loss_iou: 0.2775 enc_loss_cls: 0.3388 enc_loss_bbox: 0.1798 enc_loss_iou: 0.3118 dn_loss_cls: 0.0906 dn_loss_bbox: 0.1957 dn_loss_iou: 0.2356 d0.dn_loss_cls: 0.1663 d0.dn_loss_bbox: 0.3416 d0.dn_loss_iou: 0.3796 d1.dn_loss_cls: 0.1196 d1.dn_loss_bbox: 0.2269 d1.dn_loss_iou: 0.2654 d2.dn_loss_cls: 0.1050 d2.dn_loss_bbox: 0.2040 d2.dn_loss_iou: 0.2426 d3.dn_loss_cls: 0.0952 d3.dn_loss_bbox: 0.1958 d3.dn_loss_iou: 0.2366 d4.dn_loss_cls: 0.0904 d4.dn_loss_bbox: 0.1957 d4.dn_loss_iou: 0.2357 d1.loss_lmm_region: 0.1181 loss_lmm_image: 0.8025 2024/11/03 11:01:14 - mmengine - INFO - Iter(train) [ 78900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:35:45 time: 0.9723 data_time: 0.0184 memory: 21179 grad_norm: 20.8268 loss: 8.8208 loss_cls: 0.2720 loss_bbox: 0.1339 loss_iou: 0.2407 d0.loss_cls: 0.3113 d0.loss_bbox: 0.1478 d0.loss_iou: 0.2582 d1.loss_cls: 0.2998 d1.loss_bbox: 0.1353 d1.loss_iou: 0.2478 d2.loss_cls: 0.2825 d2.loss_bbox: 0.1361 d2.loss_iou: 0.2451 d3.loss_cls: 0.2790 d3.loss_bbox: 0.1346 d3.loss_iou: 0.2410 d4.loss_cls: 0.2728 d4.loss_bbox: 0.1355 d4.loss_iou: 0.2411 enc_loss_cls: 0.3331 enc_loss_bbox: 0.1560 enc_loss_iou: 0.2729 dn_loss_cls: 0.0686 dn_loss_bbox: 0.1585 dn_loss_iou: 0.2046 d0.dn_loss_cls: 0.1533 d0.dn_loss_bbox: 0.2971 d0.dn_loss_iou: 0.3428 d1.dn_loss_cls: 0.0996 d1.dn_loss_bbox: 0.1837 d1.dn_loss_iou: 0.2320 d2.dn_loss_cls: 0.0809 d2.dn_loss_bbox: 0.1649 d2.dn_loss_iou: 0.2112 d3.dn_loss_cls: 0.0736 d3.dn_loss_bbox: 0.1600 d3.dn_loss_iou: 0.2061 d4.dn_loss_cls: 0.0693 d4.dn_loss_bbox: 0.1585 d4.dn_loss_iou: 0.2047 d1.loss_lmm_region: 0.1324 loss_lmm_image: 0.8427 2024/11/03 11:02:51 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 11:02:51 - mmengine - INFO - Iter(train) [ 79000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:34:03 time: 0.9703 data_time: 0.0183 memory: 21557 grad_norm: 21.4727 loss: 9.1491 loss_cls: 0.2505 loss_bbox: 0.1344 loss_iou: 0.2534 d0.loss_cls: 0.2750 d0.loss_bbox: 0.1464 d0.loss_iou: 0.2601 d1.loss_cls: 0.2561 d1.loss_bbox: 0.1386 d1.loss_iou: 0.2560 d2.loss_cls: 0.2495 d2.loss_bbox: 0.1400 d2.loss_iou: 0.2530 d3.loss_cls: 0.2510 d3.loss_bbox: 0.1359 d3.loss_iou: 0.2531 d4.loss_cls: 0.2513 d4.loss_bbox: 0.1333 d4.loss_iou: 0.2525 enc_loss_cls: 0.2977 enc_loss_bbox: 0.1578 enc_loss_iou: 0.2816 dn_loss_cls: 0.0815 dn_loss_bbox: 0.1851 dn_loss_iou: 0.2332 d0.dn_loss_cls: 0.1753 d0.dn_loss_bbox: 0.3587 d0.dn_loss_iou: 0.3831 d1.dn_loss_cls: 0.1127 d1.dn_loss_bbox: 0.2193 d1.dn_loss_iou: 0.2639 d2.dn_loss_cls: 0.0934 d2.dn_loss_bbox: 0.1921 d2.dn_loss_iou: 0.2403 d3.dn_loss_cls: 0.0887 d3.dn_loss_bbox: 0.1866 d3.dn_loss_iou: 0.2341 d4.dn_loss_cls: 0.0833 d4.dn_loss_bbox: 0.1851 d4.dn_loss_iou: 0.2332 d1.loss_lmm_region: 0.1324 loss_lmm_image: 0.8401 2024/11/03 11:04:28 - mmengine - INFO - Iter(train) [ 79100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:32:22 time: 0.9712 data_time: 0.0183 memory: 21134 grad_norm: 23.3777 loss: 9.5806 loss_cls: 0.2563 loss_bbox: 0.1568 loss_iou: 0.2795 d0.loss_cls: 0.2878 d0.loss_bbox: 0.1746 d0.loss_iou: 0.3016 d1.loss_cls: 0.2726 d1.loss_bbox: 0.1594 d1.loss_iou: 0.2868 d2.loss_cls: 0.2644 d2.loss_bbox: 0.1569 d2.loss_iou: 0.2787 d3.loss_cls: 0.2640 d3.loss_bbox: 0.1522 d3.loss_iou: 0.2780 d4.loss_cls: 0.2601 d4.loss_bbox: 0.1526 d4.loss_iou: 0.2793 enc_loss_cls: 0.3163 enc_loss_bbox: 0.1803 enc_loss_iou: 0.3145 dn_loss_cls: 0.0790 dn_loss_bbox: 0.1795 dn_loss_iou: 0.2471 d0.dn_loss_cls: 0.1684 d0.dn_loss_bbox: 0.3436 d0.dn_loss_iou: 0.4127 d1.dn_loss_cls: 0.1101 d1.dn_loss_bbox: 0.2149 d1.dn_loss_iou: 0.2843 d2.dn_loss_cls: 0.0957 d2.dn_loss_bbox: 0.1867 d2.dn_loss_iou: 0.2569 d3.dn_loss_cls: 0.0847 d3.dn_loss_bbox: 0.1803 d3.dn_loss_iou: 0.2483 d4.dn_loss_cls: 0.0808 d4.dn_loss_bbox: 0.1796 d4.dn_loss_iou: 0.2471 d1.loss_lmm_region: 0.1362 loss_lmm_image: 0.7718 2024/11/03 11:06:06 - mmengine - INFO - Iter(train) [ 79200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:30:41 time: 0.9711 data_time: 0.0184 memory: 20639 grad_norm: 21.1827 loss: 9.3421 loss_cls: 0.2729 loss_bbox: 0.1403 loss_iou: 0.2543 d0.loss_cls: 0.3035 d0.loss_bbox: 0.1485 d0.loss_iou: 0.2764 d1.loss_cls: 0.2871 d1.loss_bbox: 0.1440 d1.loss_iou: 0.2622 d2.loss_cls: 0.2806 d2.loss_bbox: 0.1378 d2.loss_iou: 0.2559 d3.loss_cls: 0.2721 d3.loss_bbox: 0.1407 d3.loss_iou: 0.2538 d4.loss_cls: 0.2734 d4.loss_bbox: 0.1415 d4.loss_iou: 0.2539 enc_loss_cls: 0.3201 enc_loss_bbox: 0.1686 enc_loss_iou: 0.2953 dn_loss_cls: 0.0787 dn_loss_bbox: 0.1755 dn_loss_iou: 0.2343 d0.dn_loss_cls: 0.1722 d0.dn_loss_bbox: 0.3372 d0.dn_loss_iou: 0.3899 d1.dn_loss_cls: 0.1148 d1.dn_loss_bbox: 0.2082 d1.dn_loss_iou: 0.2697 d2.dn_loss_cls: 0.0960 d2.dn_loss_bbox: 0.1826 d2.dn_loss_iou: 0.2439 d3.dn_loss_cls: 0.0857 d3.dn_loss_bbox: 0.1773 d3.dn_loss_iou: 0.2364 d4.dn_loss_cls: 0.0803 d4.dn_loss_bbox: 0.1754 d4.dn_loss_iou: 0.2344 d1.loss_lmm_region: 0.1550 loss_lmm_image: 0.8117 2024/11/03 11:07:42 - mmengine - INFO - Iter(train) [ 79300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:29:00 time: 0.9725 data_time: 0.0185 memory: 21301 grad_norm: 20.8344 loss: 9.8190 loss_cls: 0.3316 loss_bbox: 0.1524 loss_iou: 0.2799 d0.loss_cls: 0.3782 d0.loss_bbox: 0.1651 d0.loss_iou: 0.2980 d1.loss_cls: 0.3596 d1.loss_bbox: 0.1558 d1.loss_iou: 0.2829 d2.loss_cls: 0.3454 d2.loss_bbox: 0.1541 d2.loss_iou: 0.2815 d3.loss_cls: 0.3399 d3.loss_bbox: 0.1537 d3.loss_iou: 0.2800 d4.loss_cls: 0.3367 d4.loss_bbox: 0.1504 d4.loss_iou: 0.2784 enc_loss_cls: 0.3936 enc_loss_bbox: 0.1792 enc_loss_iou: 0.3211 dn_loss_cls: 0.0955 dn_loss_bbox: 0.1517 dn_loss_iou: 0.2128 d0.dn_loss_cls: 0.1791 d0.dn_loss_bbox: 0.2855 d0.dn_loss_iou: 0.3545 d1.dn_loss_cls: 0.1279 d1.dn_loss_bbox: 0.1790 d1.dn_loss_iou: 0.2438 d2.dn_loss_cls: 0.1107 d2.dn_loss_bbox: 0.1586 d2.dn_loss_iou: 0.2207 d3.dn_loss_cls: 0.1022 d3.dn_loss_bbox: 0.1523 d3.dn_loss_iou: 0.2140 d4.dn_loss_cls: 0.0961 d4.dn_loss_bbox: 0.1517 d4.dn_loss_iou: 0.2128 d1.loss_lmm_region: 0.1358 loss_lmm_image: 0.8169 2024/11/03 11:09:20 - mmengine - INFO - Iter(train) [ 79400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:27:20 time: 0.9728 data_time: 0.0183 memory: 20529 grad_norm: 22.0909 loss: 9.7074 loss_cls: 0.2932 loss_bbox: 0.1549 loss_iou: 0.2670 d0.loss_cls: 0.3322 d0.loss_bbox: 0.1667 d0.loss_iou: 0.2794 d1.loss_cls: 0.3131 d1.loss_bbox: 0.1592 d1.loss_iou: 0.2754 d2.loss_cls: 0.3054 d2.loss_bbox: 0.1580 d2.loss_iou: 0.2723 d3.loss_cls: 0.3018 d3.loss_bbox: 0.1554 d3.loss_iou: 0.2687 d4.loss_cls: 0.2956 d4.loss_bbox: 0.1556 d4.loss_iou: 0.2681 enc_loss_cls: 0.3535 enc_loss_bbox: 0.1782 enc_loss_iou: 0.2971 dn_loss_cls: 0.0928 dn_loss_bbox: 0.1729 dn_loss_iou: 0.2289 d0.dn_loss_cls: 0.1839 d0.dn_loss_bbox: 0.3426 d0.dn_loss_iou: 0.3758 d1.dn_loss_cls: 0.1254 d1.dn_loss_bbox: 0.2001 d1.dn_loss_iou: 0.2577 d2.dn_loss_cls: 0.1083 d2.dn_loss_bbox: 0.1806 d2.dn_loss_iou: 0.2379 d3.dn_loss_cls: 0.0982 d3.dn_loss_bbox: 0.1733 d3.dn_loss_iou: 0.2298 d4.dn_loss_cls: 0.0951 d4.dn_loss_bbox: 0.1728 d4.dn_loss_iou: 0.2288 d1.loss_lmm_region: 0.1753 loss_lmm_image: 0.7763 2024/11/03 11:10:58 - mmengine - INFO - Iter(train) [ 79500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:25:39 time: 0.9711 data_time: 0.0184 memory: 21468 grad_norm: 21.8091 loss: 9.0279 loss_cls: 0.3226 loss_bbox: 0.1217 loss_iou: 0.2356 d0.loss_cls: 0.3569 d0.loss_bbox: 0.1356 d0.loss_iou: 0.2623 d1.loss_cls: 0.3392 d1.loss_bbox: 0.1291 d1.loss_iou: 0.2441 d2.loss_cls: 0.3331 d2.loss_bbox: 0.1217 d2.loss_iou: 0.2386 d3.loss_cls: 0.3247 d3.loss_bbox: 0.1218 d3.loss_iou: 0.2362 d4.loss_cls: 0.3225 d4.loss_bbox: 0.1216 d4.loss_iou: 0.2359 enc_loss_cls: 0.3721 enc_loss_bbox: 0.1450 enc_loss_iou: 0.2772 dn_loss_cls: 0.0879 dn_loss_bbox: 0.1438 dn_loss_iou: 0.2039 d0.dn_loss_cls: 0.1707 d0.dn_loss_bbox: 0.2834 d0.dn_loss_iou: 0.3442 d1.dn_loss_cls: 0.1168 d1.dn_loss_bbox: 0.1750 d1.dn_loss_iou: 0.2352 d2.dn_loss_cls: 0.1032 d2.dn_loss_bbox: 0.1512 d2.dn_loss_iou: 0.2122 d3.dn_loss_cls: 0.0919 d3.dn_loss_bbox: 0.1452 d3.dn_loss_iou: 0.2053 d4.dn_loss_cls: 0.0886 d4.dn_loss_bbox: 0.1438 d4.dn_loss_iou: 0.2039 d1.loss_lmm_region: 0.1334 loss_lmm_image: 0.7906 2024/11/03 11:12:34 - mmengine - INFO - Iter(train) [ 79600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:23:57 time: 0.9611 data_time: 0.0185 memory: 21090 grad_norm: 20.9422 loss: 10.4528 loss_cls: 0.3193 loss_bbox: 0.1705 loss_iou: 0.3398 d0.loss_cls: 0.3596 d0.loss_bbox: 0.1805 d0.loss_iou: 0.3546 d1.loss_cls: 0.3355 d1.loss_bbox: 0.1775 d1.loss_iou: 0.3483 d2.loss_cls: 0.3265 d2.loss_bbox: 0.1753 d2.loss_iou: 0.3455 d3.loss_cls: 0.3257 d3.loss_bbox: 0.1702 d3.loss_iou: 0.3417 d4.loss_cls: 0.3210 d4.loss_bbox: 0.1700 d4.loss_iou: 0.3375 enc_loss_cls: 0.3738 enc_loss_bbox: 0.1974 enc_loss_iou: 0.3805 dn_loss_cls: 0.0825 dn_loss_bbox: 0.1694 dn_loss_iou: 0.2433 d0.dn_loss_cls: 0.1624 d0.dn_loss_bbox: 0.3265 d0.dn_loss_iou: 0.3987 d1.dn_loss_cls: 0.1094 d1.dn_loss_bbox: 0.2006 d1.dn_loss_iou: 0.2777 d2.dn_loss_cls: 0.0946 d2.dn_loss_bbox: 0.1780 d2.dn_loss_iou: 0.2524 d3.dn_loss_cls: 0.0876 d3.dn_loss_bbox: 0.1719 d3.dn_loss_iou: 0.2452 d4.dn_loss_cls: 0.0838 d4.dn_loss_bbox: 0.1693 d4.dn_loss_iou: 0.2432 d1.loss_lmm_region: 0.1127 loss_lmm_image: 0.7929 2024/11/03 11:14:12 - mmengine - INFO - Iter(train) [ 79700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:22:17 time: 0.9763 data_time: 0.0183 memory: 20482 grad_norm: 31.7645 loss: 9.1625 loss_cls: 0.2711 loss_bbox: 0.1403 loss_iou: 0.2173 d0.loss_cls: 0.3022 d0.loss_bbox: 0.1562 d0.loss_iou: 0.2308 d1.loss_cls: 0.2912 d1.loss_bbox: 0.1438 d1.loss_iou: 0.2192 d2.loss_cls: 0.2757 d2.loss_bbox: 0.1419 d2.loss_iou: 0.2172 d3.loss_cls: 0.2744 d3.loss_bbox: 0.1415 d3.loss_iou: 0.2151 d4.loss_cls: 0.2679 d4.loss_bbox: 0.1459 d4.loss_iou: 0.2186 enc_loss_cls: 0.3262 enc_loss_bbox: 0.1638 enc_loss_iou: 0.2484 dn_loss_cls: 0.1110 dn_loss_bbox: 0.1970 dn_loss_iou: 0.2169 d0.dn_loss_cls: 0.1868 d0.dn_loss_bbox: 0.3455 d0.dn_loss_iou: 0.3628 d1.dn_loss_cls: 0.1334 d1.dn_loss_bbox: 0.2250 d1.dn_loss_iou: 0.2465 d2.dn_loss_cls: 0.1231 d2.dn_loss_bbox: 0.2044 d2.dn_loss_iou: 0.2247 d3.dn_loss_cls: 0.1176 d3.dn_loss_bbox: 0.1980 d3.dn_loss_iou: 0.2181 d4.dn_loss_cls: 0.1131 d4.dn_loss_bbox: 0.1971 d4.dn_loss_iou: 0.2169 d1.loss_lmm_region: 0.1392 loss_lmm_image: 0.7765 2024/11/03 11:15:50 - mmengine - INFO - Iter(train) [ 79800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:20:37 time: 0.9722 data_time: 0.0183 memory: 20390 grad_norm: 21.8516 loss: 9.3013 loss_cls: 0.2969 loss_bbox: 0.1445 loss_iou: 0.2731 d0.loss_cls: 0.3257 d0.loss_bbox: 0.1556 d0.loss_iou: 0.2941 d1.loss_cls: 0.3125 d1.loss_bbox: 0.1489 d1.loss_iou: 0.2802 d2.loss_cls: 0.3085 d2.loss_bbox: 0.1462 d2.loss_iou: 0.2753 d3.loss_cls: 0.3014 d3.loss_bbox: 0.1446 d3.loss_iou: 0.2724 d4.loss_cls: 0.2977 d4.loss_bbox: 0.1442 d4.loss_iou: 0.2732 enc_loss_cls: 0.3421 enc_loss_bbox: 0.1720 enc_loss_iou: 0.3145 dn_loss_cls: 0.0727 dn_loss_bbox: 0.1567 dn_loss_iou: 0.2122 d0.dn_loss_cls: 0.1541 d0.dn_loss_bbox: 0.3013 d0.dn_loss_iou: 0.3528 d1.dn_loss_cls: 0.1003 d1.dn_loss_bbox: 0.1890 d1.dn_loss_iou: 0.2451 d2.dn_loss_cls: 0.0855 d2.dn_loss_bbox: 0.1665 d2.dn_loss_iou: 0.2216 d3.dn_loss_cls: 0.0777 d3.dn_loss_bbox: 0.1572 d3.dn_loss_iou: 0.2134 d4.dn_loss_cls: 0.0726 d4.dn_loss_bbox: 0.1566 d4.dn_loss_iou: 0.2123 d1.loss_lmm_region: 0.1353 loss_lmm_image: 0.7947 2024/11/03 11:17:27 - mmengine - INFO - Iter(train) [ 79900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:18:55 time: 0.9775 data_time: 0.0183 memory: 21177 grad_norm: 20.0795 loss: 8.7563 loss_cls: 0.2692 loss_bbox: 0.1218 loss_iou: 0.2166 d0.loss_cls: 0.3069 d0.loss_bbox: 0.1305 d0.loss_iou: 0.2288 d1.loss_cls: 0.2902 d1.loss_bbox: 0.1271 d1.loss_iou: 0.2204 d2.loss_cls: 0.2798 d2.loss_bbox: 0.1250 d2.loss_iou: 0.2175 d3.loss_cls: 0.2771 d3.loss_bbox: 0.1200 d3.loss_iou: 0.2150 d4.loss_cls: 0.2712 d4.loss_bbox: 0.1195 d4.loss_iou: 0.2144 enc_loss_cls: 0.3257 enc_loss_bbox: 0.1446 enc_loss_iou: 0.2504 dn_loss_cls: 0.0871 dn_loss_bbox: 0.1678 dn_loss_iou: 0.2079 d0.dn_loss_cls: 0.1693 d0.dn_loss_bbox: 0.3266 d0.dn_loss_iou: 0.3588 d1.dn_loss_cls: 0.1181 d1.dn_loss_bbox: 0.2060 d1.dn_loss_iou: 0.2417 d2.dn_loss_cls: 0.1012 d2.dn_loss_bbox: 0.1763 d2.dn_loss_iou: 0.2160 d3.dn_loss_cls: 0.0920 d3.dn_loss_bbox: 0.1695 d3.dn_loss_iou: 0.2097 d4.dn_loss_cls: 0.0885 d4.dn_loss_bbox: 0.1677 d4.dn_loss_iou: 0.2079 d1.loss_lmm_region: 0.1462 loss_lmm_image: 0.8261 2024/11/03 11:19:04 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 11:19:04 - mmengine - INFO - Iter(train) [ 80000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:17:14 time: 0.9648 data_time: 0.0183 memory: 20345 grad_norm: 19.7696 loss: 9.9064 loss_cls: 0.2967 loss_bbox: 0.1545 loss_iou: 0.2806 d0.loss_cls: 0.3275 d0.loss_bbox: 0.1702 d0.loss_iou: 0.3001 d1.loss_cls: 0.3104 d1.loss_bbox: 0.1594 d1.loss_iou: 0.2865 d2.loss_cls: 0.3031 d2.loss_bbox: 0.1593 d2.loss_iou: 0.2830 d3.loss_cls: 0.2964 d3.loss_bbox: 0.1572 d3.loss_iou: 0.2810 d4.loss_cls: 0.2932 d4.loss_bbox: 0.1588 d4.loss_iou: 0.2824 enc_loss_cls: 0.3483 enc_loss_bbox: 0.1818 enc_loss_iou: 0.3162 dn_loss_cls: 0.0870 dn_loss_bbox: 0.1816 dn_loss_iou: 0.2434 d0.dn_loss_cls: 0.1627 d0.dn_loss_bbox: 0.3407 d0.dn_loss_iou: 0.3931 d1.dn_loss_cls: 0.1134 d1.dn_loss_bbox: 0.2187 d1.dn_loss_iou: 0.2776 d2.dn_loss_cls: 0.0990 d2.dn_loss_bbox: 0.1905 d2.dn_loss_iou: 0.2512 d3.dn_loss_cls: 0.0915 d3.dn_loss_bbox: 0.1825 d3.dn_loss_iou: 0.2449 d4.dn_loss_cls: 0.0871 d4.dn_loss_bbox: 0.1813 d4.dn_loss_iou: 0.2433 d1.loss_lmm_region: 0.1310 loss_lmm_image: 0.8394 2024/11/03 11:20:41 - mmengine - INFO - Iter(train) [ 80100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:15:33 time: 0.9777 data_time: 0.0183 memory: 20181 grad_norm: 21.9629 loss: 9.9510 loss_cls: 0.3241 loss_bbox: 0.1444 loss_iou: 0.2718 d0.loss_cls: 0.3614 d0.loss_bbox: 0.1548 d0.loss_iou: 0.2955 d1.loss_cls: 0.3406 d1.loss_bbox: 0.1498 d1.loss_iou: 0.2810 d2.loss_cls: 0.3362 d2.loss_bbox: 0.1454 d2.loss_iou: 0.2748 d3.loss_cls: 0.3289 d3.loss_bbox: 0.1444 d3.loss_iou: 0.2707 d4.loss_cls: 0.3256 d4.loss_bbox: 0.1434 d4.loss_iou: 0.2708 enc_loss_cls: 0.3865 enc_loss_bbox: 0.1732 enc_loss_iou: 0.3196 dn_loss_cls: 0.0961 dn_loss_bbox: 0.1722 dn_loss_iou: 0.2333 d0.dn_loss_cls: 0.1816 d0.dn_loss_bbox: 0.3328 d0.dn_loss_iou: 0.3929 d1.dn_loss_cls: 0.1288 d1.dn_loss_bbox: 0.2080 d1.dn_loss_iou: 0.2703 d2.dn_loss_cls: 0.1102 d2.dn_loss_bbox: 0.1817 d2.dn_loss_iou: 0.2431 d3.dn_loss_cls: 0.1000 d3.dn_loss_bbox: 0.1744 d3.dn_loss_iou: 0.2354 d4.dn_loss_cls: 0.0963 d4.dn_loss_bbox: 0.1721 d4.dn_loss_iou: 0.2333 d1.loss_lmm_region: 0.1501 loss_lmm_image: 0.7956 2024/11/03 11:22:19 - mmengine - INFO - Iter(train) [ 80200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:13:53 time: 0.9677 data_time: 0.0183 memory: 20360 grad_norm: 21.4713 loss: 7.9108 loss_cls: 0.2393 loss_bbox: 0.1020 loss_iou: 0.1946 d0.loss_cls: 0.2647 d0.loss_bbox: 0.1223 d0.loss_iou: 0.2152 d1.loss_cls: 0.2534 d1.loss_bbox: 0.1094 d1.loss_iou: 0.2026 d2.loss_cls: 0.2488 d2.loss_bbox: 0.1026 d2.loss_iou: 0.1950 d3.loss_cls: 0.2463 d3.loss_bbox: 0.1013 d3.loss_iou: 0.1932 d4.loss_cls: 0.2500 d4.loss_bbox: 0.0999 d4.loss_iou: 0.1925 enc_loss_cls: 0.2850 enc_loss_bbox: 0.1384 enc_loss_iou: 0.2431 dn_loss_cls: 0.0857 dn_loss_bbox: 0.1446 dn_loss_iou: 0.1863 d0.dn_loss_cls: 0.1545 d0.dn_loss_bbox: 0.2795 d0.dn_loss_iou: 0.3267 d1.dn_loss_cls: 0.1126 d1.dn_loss_bbox: 0.1684 d1.dn_loss_iou: 0.2148 d2.dn_loss_cls: 0.0980 d2.dn_loss_bbox: 0.1494 d2.dn_loss_iou: 0.1933 d3.dn_loss_cls: 0.0909 d3.dn_loss_bbox: 0.1474 d3.dn_loss_iou: 0.1878 d4.dn_loss_cls: 0.0880 d4.dn_loss_bbox: 0.1445 d4.dn_loss_iou: 0.1862 d1.loss_lmm_region: 0.1171 loss_lmm_image: 0.8355 2024/11/03 11:23:56 - mmengine - INFO - Iter(train) [ 80300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:12:12 time: 0.9610 data_time: 0.0183 memory: 20214 grad_norm: 21.2352 loss: 10.4609 loss_cls: 0.3160 loss_bbox: 0.1716 loss_iou: 0.2992 d0.loss_cls: 0.3718 d0.loss_bbox: 0.1794 d0.loss_iou: 0.3128 d1.loss_cls: 0.3465 d1.loss_bbox: 0.1701 d1.loss_iou: 0.3034 d2.loss_cls: 0.3363 d2.loss_bbox: 0.1675 d2.loss_iou: 0.2977 d3.loss_cls: 0.3278 d3.loss_bbox: 0.1690 d3.loss_iou: 0.2968 d4.loss_cls: 0.3164 d4.loss_bbox: 0.1718 d4.loss_iou: 0.2994 enc_loss_cls: 0.3856 enc_loss_bbox: 0.1975 enc_loss_iou: 0.3376 dn_loss_cls: 0.0925 dn_loss_bbox: 0.1968 dn_loss_iou: 0.2454 d0.dn_loss_cls: 0.1834 d0.dn_loss_bbox: 0.3607 d0.dn_loss_iou: 0.4071 d1.dn_loss_cls: 0.1286 d1.dn_loss_bbox: 0.2338 d1.dn_loss_iou: 0.2838 d2.dn_loss_cls: 0.1088 d2.dn_loss_bbox: 0.2076 d2.dn_loss_iou: 0.2555 d3.dn_loss_cls: 0.0990 d3.dn_loss_bbox: 0.1989 d3.dn_loss_iou: 0.2477 d4.dn_loss_cls: 0.0933 d4.dn_loss_bbox: 0.1969 d4.dn_loss_iou: 0.2454 d1.loss_lmm_region: 0.1446 loss_lmm_image: 0.7567 2024/11/03 11:25:33 - mmengine - INFO - Iter(train) [ 80400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:10:31 time: 0.9653 data_time: 0.0184 memory: 21584 grad_norm: 20.3000 loss: 9.3919 loss_cls: 0.3118 loss_bbox: 0.1457 loss_iou: 0.2770 d0.loss_cls: 0.3527 d0.loss_bbox: 0.1566 d0.loss_iou: 0.2960 d1.loss_cls: 0.3315 d1.loss_bbox: 0.1450 d1.loss_iou: 0.2819 d2.loss_cls: 0.3267 d2.loss_bbox: 0.1433 d2.loss_iou: 0.2784 d3.loss_cls: 0.3172 d3.loss_bbox: 0.1458 d3.loss_iou: 0.2769 d4.loss_cls: 0.3141 d4.loss_bbox: 0.1472 d4.loss_iou: 0.2773 enc_loss_cls: 0.3683 enc_loss_bbox: 0.1729 enc_loss_iou: 0.3226 dn_loss_cls: 0.0646 dn_loss_bbox: 0.1511 dn_loss_iou: 0.2114 d0.dn_loss_cls: 0.1494 d0.dn_loss_bbox: 0.2834 d0.dn_loss_iou: 0.3532 d1.dn_loss_cls: 0.0942 d1.dn_loss_bbox: 0.1761 d1.dn_loss_iou: 0.2416 d2.dn_loss_cls: 0.0769 d2.dn_loss_bbox: 0.1550 d2.dn_loss_iou: 0.2189 d3.dn_loss_cls: 0.0696 d3.dn_loss_bbox: 0.1513 d3.dn_loss_iou: 0.2127 d4.dn_loss_cls: 0.0652 d4.dn_loss_bbox: 0.1511 d4.dn_loss_iou: 0.2115 d1.loss_lmm_region: 0.1273 loss_lmm_image: 0.8383 2024/11/03 11:27:11 - mmengine - INFO - Iter(train) [ 80500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:08:50 time: 0.9741 data_time: 0.0182 memory: 20857 grad_norm: 22.7894 loss: 8.9382 loss_cls: 0.2729 loss_bbox: 0.1332 loss_iou: 0.2590 d0.loss_cls: 0.3023 d0.loss_bbox: 0.1526 d0.loss_iou: 0.2781 d1.loss_cls: 0.2816 d1.loss_bbox: 0.1449 d1.loss_iou: 0.2685 d2.loss_cls: 0.2810 d2.loss_bbox: 0.1359 d2.loss_iou: 0.2628 d3.loss_cls: 0.2779 d3.loss_bbox: 0.1356 d3.loss_iou: 0.2610 d4.loss_cls: 0.2741 d4.loss_bbox: 0.1329 d4.loss_iou: 0.2589 enc_loss_cls: 0.3146 enc_loss_bbox: 0.1699 enc_loss_iou: 0.3049 dn_loss_cls: 0.0581 dn_loss_bbox: 0.1548 dn_loss_iou: 0.2212 d0.dn_loss_cls: 0.1474 d0.dn_loss_bbox: 0.3113 d0.dn_loss_iou: 0.3693 d1.dn_loss_cls: 0.0887 d1.dn_loss_bbox: 0.1851 d1.dn_loss_iou: 0.2533 d2.dn_loss_cls: 0.0715 d2.dn_loss_bbox: 0.1626 d2.dn_loss_iou: 0.2297 d3.dn_loss_cls: 0.0618 d3.dn_loss_bbox: 0.1567 d3.dn_loss_iou: 0.2236 d4.dn_loss_cls: 0.0588 d4.dn_loss_bbox: 0.1547 d4.dn_loss_iou: 0.2213 d1.loss_lmm_region: 0.1328 loss_lmm_image: 0.7729 2024/11/03 11:28:48 - mmengine - INFO - Iter(train) [ 80600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:07:09 time: 0.9731 data_time: 0.0182 memory: 21317 grad_norm: 25.3237 loss: 9.4546 loss_cls: 0.3246 loss_bbox: 0.1241 loss_iou: 0.2724 d0.loss_cls: 0.3681 d0.loss_bbox: 0.1413 d0.loss_iou: 0.2940 d1.loss_cls: 0.3509 d1.loss_bbox: 0.1279 d1.loss_iou: 0.2787 d2.loss_cls: 0.3386 d2.loss_bbox: 0.1230 d2.loss_iou: 0.2732 d3.loss_cls: 0.3333 d3.loss_bbox: 0.1220 d3.loss_iou: 0.2712 d4.loss_cls: 0.3271 d4.loss_bbox: 0.1243 d4.loss_iou: 0.2729 enc_loss_cls: 0.3837 enc_loss_bbox: 0.1529 enc_loss_iou: 0.3176 dn_loss_cls: 0.0881 dn_loss_bbox: 0.1377 dn_loss_iou: 0.2238 d0.dn_loss_cls: 0.1749 d0.dn_loss_bbox: 0.2712 d0.dn_loss_iou: 0.3726 d1.dn_loss_cls: 0.1201 d1.dn_loss_bbox: 0.1719 d1.dn_loss_iou: 0.2605 d2.dn_loss_cls: 0.1015 d2.dn_loss_bbox: 0.1460 d2.dn_loss_iou: 0.2334 d3.dn_loss_cls: 0.0932 d3.dn_loss_bbox: 0.1392 d3.dn_loss_iou: 0.2254 d4.dn_loss_cls: 0.0901 d4.dn_loss_bbox: 0.1377 d4.dn_loss_iou: 0.2237 d1.loss_lmm_region: 0.1249 loss_lmm_image: 0.7971 2024/11/03 11:30:26 - mmengine - INFO - Iter(train) [ 80700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:05:29 time: 0.9733 data_time: 0.0184 memory: 20860 grad_norm: 20.4003 loss: 9.2444 loss_cls: 0.2907 loss_bbox: 0.1277 loss_iou: 0.2459 d0.loss_cls: 0.3220 d0.loss_bbox: 0.1488 d0.loss_iou: 0.2726 d1.loss_cls: 0.3100 d1.loss_bbox: 0.1318 d1.loss_iou: 0.2524 d2.loss_cls: 0.3003 d2.loss_bbox: 0.1293 d2.loss_iou: 0.2448 d3.loss_cls: 0.2970 d3.loss_bbox: 0.1279 d3.loss_iou: 0.2451 d4.loss_cls: 0.2913 d4.loss_bbox: 0.1271 d4.loss_iou: 0.2450 enc_loss_cls: 0.3486 enc_loss_bbox: 0.1583 enc_loss_iou: 0.2910 dn_loss_cls: 0.0846 dn_loss_bbox: 0.1589 dn_loss_iou: 0.2198 d0.dn_loss_cls: 0.1828 d0.dn_loss_bbox: 0.3236 d0.dn_loss_iou: 0.3814 d1.dn_loss_cls: 0.1222 d1.dn_loss_bbox: 0.1971 d1.dn_loss_iou: 0.2588 d2.dn_loss_cls: 0.1007 d2.dn_loss_bbox: 0.1668 d2.dn_loss_iou: 0.2291 d3.dn_loss_cls: 0.0903 d3.dn_loss_bbox: 0.1599 d3.dn_loss_iou: 0.2214 d4.dn_loss_cls: 0.0852 d4.dn_loss_bbox: 0.1590 d4.dn_loss_iou: 0.2195 d1.loss_lmm_region: 0.1673 loss_lmm_image: 0.8087 2024/11/03 11:32:04 - mmengine - INFO - Iter(train) [ 80800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:03:49 time: 0.9774 data_time: 0.0183 memory: 21583 grad_norm: 24.3452 loss: 9.1231 loss_cls: 0.2884 loss_bbox: 0.1294 loss_iou: 0.2756 d0.loss_cls: 0.3195 d0.loss_bbox: 0.1405 d0.loss_iou: 0.2938 d1.loss_cls: 0.2998 d1.loss_bbox: 0.1331 d1.loss_iou: 0.2827 d2.loss_cls: 0.2908 d2.loss_bbox: 0.1340 d2.loss_iou: 0.2820 d3.loss_cls: 0.2920 d3.loss_bbox: 0.1301 d3.loss_iou: 0.2769 d4.loss_cls: 0.2894 d4.loss_bbox: 0.1292 d4.loss_iou: 0.2763 enc_loss_cls: 0.3384 enc_loss_bbox: 0.1529 enc_loss_iou: 0.3153 dn_loss_cls: 0.0743 dn_loss_bbox: 0.1381 dn_loss_iou: 0.2180 d0.dn_loss_cls: 0.1679 d0.dn_loss_bbox: 0.2875 d0.dn_loss_iou: 0.3668 d1.dn_loss_cls: 0.1054 d1.dn_loss_bbox: 0.1697 d1.dn_loss_iou: 0.2494 d2.dn_loss_cls: 0.0872 d2.dn_loss_bbox: 0.1451 d2.dn_loss_iou: 0.2257 d3.dn_loss_cls: 0.0787 d3.dn_loss_bbox: 0.1400 d3.dn_loss_iou: 0.2196 d4.dn_loss_cls: 0.0738 d4.dn_loss_bbox: 0.1381 d4.dn_loss_iou: 0.2180 d1.loss_lmm_region: 0.1434 loss_lmm_image: 0.8061 2024/11/03 11:33:41 - mmengine - INFO - Iter(train) [ 80900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:02:08 time: 0.9742 data_time: 0.0183 memory: 21055 grad_norm: 21.5193 loss: 9.5538 loss_cls: 0.2769 loss_bbox: 0.1531 loss_iou: 0.2499 d0.loss_cls: 0.3184 d0.loss_bbox: 0.1676 d0.loss_iou: 0.2627 d1.loss_cls: 0.2947 d1.loss_bbox: 0.1600 d1.loss_iou: 0.2543 d2.loss_cls: 0.2944 d2.loss_bbox: 0.1482 d2.loss_iou: 0.2466 d3.loss_cls: 0.2843 d3.loss_bbox: 0.1513 d3.loss_iou: 0.2481 d4.loss_cls: 0.2790 d4.loss_bbox: 0.1530 d4.loss_iou: 0.2496 enc_loss_cls: 0.3321 enc_loss_bbox: 0.1813 enc_loss_iou: 0.2859 dn_loss_cls: 0.0712 dn_loss_bbox: 0.2021 dn_loss_iou: 0.2391 d0.dn_loss_cls: 0.1611 d0.dn_loss_bbox: 0.3596 d0.dn_loss_iou: 0.3973 d1.dn_loss_cls: 0.1027 d1.dn_loss_bbox: 0.2342 d1.dn_loss_iou: 0.2747 d2.dn_loss_cls: 0.0844 d2.dn_loss_bbox: 0.2104 d2.dn_loss_iou: 0.2497 d3.dn_loss_cls: 0.0746 d3.dn_loss_bbox: 0.2045 d3.dn_loss_iou: 0.2409 d4.dn_loss_cls: 0.0728 d4.dn_loss_bbox: 0.2022 d4.dn_loss_iou: 0.2390 d1.loss_lmm_region: 0.1398 loss_lmm_image: 0.8017 2024/11/03 11:35:18 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 11:35:18 - mmengine - INFO - Iter(train) [ 81000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:00:27 time: 0.9751 data_time: 0.0184 memory: 21434 grad_norm: 20.7416 loss: 9.0510 loss_cls: 0.2711 loss_bbox: 0.1347 loss_iou: 0.2460 d0.loss_cls: 0.3017 d0.loss_bbox: 0.1508 d0.loss_iou: 0.2670 d1.loss_cls: 0.2898 d1.loss_bbox: 0.1383 d1.loss_iou: 0.2497 d2.loss_cls: 0.2758 d2.loss_bbox: 0.1376 d2.loss_iou: 0.2506 d3.loss_cls: 0.2735 d3.loss_bbox: 0.1355 d3.loss_iou: 0.2484 d4.loss_cls: 0.2709 d4.loss_bbox: 0.1345 d4.loss_iou: 0.2466 enc_loss_cls: 0.3172 enc_loss_bbox: 0.1643 enc_loss_iou: 0.2832 dn_loss_cls: 0.0891 dn_loss_bbox: 0.1621 dn_loss_iou: 0.2253 d0.dn_loss_cls: 0.1748 d0.dn_loss_bbox: 0.3075 d0.dn_loss_iou: 0.3732 d1.dn_loss_cls: 0.1190 d1.dn_loss_bbox: 0.1946 d1.dn_loss_iou: 0.2580 d2.dn_loss_cls: 0.1023 d2.dn_loss_bbox: 0.1723 d2.dn_loss_iou: 0.2339 d3.dn_loss_cls: 0.0921 d3.dn_loss_bbox: 0.1628 d3.dn_loss_iou: 0.2266 d4.dn_loss_cls: 0.0890 d4.dn_loss_bbox: 0.1621 d4.dn_loss_iou: 0.2253 d1.loss_lmm_region: 0.1296 loss_lmm_image: 0.7646 2024/11/03 11:36:56 - mmengine - INFO - Iter(train) [ 81100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:58:47 time: 0.9768 data_time: 0.0182 memory: 20025 grad_norm: 21.8755 loss: 8.5065 loss_cls: 0.2459 loss_bbox: 0.1237 loss_iou: 0.2205 d0.loss_cls: 0.2806 d0.loss_bbox: 0.1352 d0.loss_iou: 0.2342 d1.loss_cls: 0.2642 d1.loss_bbox: 0.1283 d1.loss_iou: 0.2273 d2.loss_cls: 0.2541 d2.loss_bbox: 0.1220 d2.loss_iou: 0.2206 d3.loss_cls: 0.2491 d3.loss_bbox: 0.1249 d3.loss_iou: 0.2225 d4.loss_cls: 0.2447 d4.loss_bbox: 0.1276 d4.loss_iou: 0.2214 enc_loss_cls: 0.2926 enc_loss_bbox: 0.1533 enc_loss_iou: 0.2582 dn_loss_cls: 0.0677 dn_loss_bbox: 0.1636 dn_loss_iou: 0.2219 d0.dn_loss_cls: 0.1467 d0.dn_loss_bbox: 0.3258 d0.dn_loss_iou: 0.3775 d1.dn_loss_cls: 0.0939 d1.dn_loss_bbox: 0.1991 d1.dn_loss_iou: 0.2561 d2.dn_loss_cls: 0.0798 d2.dn_loss_bbox: 0.1724 d2.dn_loss_iou: 0.2298 d3.dn_loss_cls: 0.0727 d3.dn_loss_bbox: 0.1638 d3.dn_loss_iou: 0.2222 d4.dn_loss_cls: 0.0684 d4.dn_loss_bbox: 0.1635 d4.dn_loss_iou: 0.2218 d1.loss_lmm_region: 0.1280 loss_lmm_image: 0.7806 2024/11/03 11:38:34 - mmengine - INFO - Iter(train) [ 81200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:57:06 time: 0.9746 data_time: 0.0183 memory: 21876 grad_norm: 21.2244 loss: 10.3556 loss_cls: 0.3355 loss_bbox: 0.1523 loss_iou: 0.2910 d0.loss_cls: 0.3624 d0.loss_bbox: 0.1786 d0.loss_iou: 0.3179 d1.loss_cls: 0.3461 d1.loss_bbox: 0.1724 d1.loss_iou: 0.3056 d2.loss_cls: 0.3500 d2.loss_bbox: 0.1547 d2.loss_iou: 0.2912 d3.loss_cls: 0.3402 d3.loss_bbox: 0.1516 d3.loss_iou: 0.2912 d4.loss_cls: 0.3376 d4.loss_bbox: 0.1509 d4.loss_iou: 0.2896 enc_loss_cls: 0.3816 enc_loss_bbox: 0.1847 enc_loss_iou: 0.3361 dn_loss_cls: 0.0897 dn_loss_bbox: 0.1927 dn_loss_iou: 0.2408 d0.dn_loss_cls: 0.1850 d0.dn_loss_bbox: 0.3379 d0.dn_loss_iou: 0.3884 d1.dn_loss_cls: 0.1250 d1.dn_loss_bbox: 0.2213 d1.dn_loss_iou: 0.2721 d2.dn_loss_cls: 0.1068 d2.dn_loss_bbox: 0.2015 d2.dn_loss_iou: 0.2499 d3.dn_loss_cls: 0.0954 d3.dn_loss_bbox: 0.1939 d3.dn_loss_iou: 0.2422 d4.dn_loss_cls: 0.0899 d4.dn_loss_bbox: 0.1926 d4.dn_loss_iou: 0.2406 d1.loss_lmm_region: 0.1407 loss_lmm_image: 0.8281 2024/11/03 11:40:12 - mmengine - INFO - Iter(train) [ 81300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:55:26 time: 0.9820 data_time: 0.0184 memory: 20897 grad_norm: 21.7238 loss: 9.8854 loss_cls: 0.2755 loss_bbox: 0.1660 loss_iou: 0.2733 d0.loss_cls: 0.3167 d0.loss_bbox: 0.1741 d0.loss_iou: 0.2888 d1.loss_cls: 0.3009 d1.loss_bbox: 0.1650 d1.loss_iou: 0.2765 d2.loss_cls: 0.2900 d2.loss_bbox: 0.1640 d2.loss_iou: 0.2724 d3.loss_cls: 0.2808 d3.loss_bbox: 0.1654 d3.loss_iou: 0.2734 d4.loss_cls: 0.2769 d4.loss_bbox: 0.1653 d4.loss_iou: 0.2713 enc_loss_cls: 0.3370 enc_loss_bbox: 0.1843 enc_loss_iou: 0.3053 dn_loss_cls: 0.0961 dn_loss_bbox: 0.1929 dn_loss_iou: 0.2357 d0.dn_loss_cls: 0.1874 d0.dn_loss_bbox: 0.3545 d0.dn_loss_iou: 0.3943 d1.dn_loss_cls: 0.1268 d1.dn_loss_bbox: 0.2250 d1.dn_loss_iou: 0.2697 d2.dn_loss_cls: 0.1093 d2.dn_loss_bbox: 0.1990 d2.dn_loss_iou: 0.2440 d3.dn_loss_cls: 0.1002 d3.dn_loss_bbox: 0.1938 d3.dn_loss_iou: 0.2373 d4.dn_loss_cls: 0.0963 d4.dn_loss_bbox: 0.1930 d4.dn_loss_iou: 0.2358 d1.loss_lmm_region: 0.1467 loss_lmm_image: 0.8247 2024/11/03 11:41:49 - mmengine - INFO - Iter(train) [ 81400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:53:45 time: 0.9741 data_time: 0.0184 memory: 20877 grad_norm: 21.2730 loss: 9.8633 loss_cls: 0.3205 loss_bbox: 0.1456 loss_iou: 0.2729 d0.loss_cls: 0.3667 d0.loss_bbox: 0.1669 d0.loss_iou: 0.2997 d1.loss_cls: 0.3368 d1.loss_bbox: 0.1587 d1.loss_iou: 0.2873 d2.loss_cls: 0.3391 d2.loss_bbox: 0.1436 d2.loss_iou: 0.2762 d3.loss_cls: 0.3284 d3.loss_bbox: 0.1458 d3.loss_iou: 0.2731 d4.loss_cls: 0.3213 d4.loss_bbox: 0.1440 d4.loss_iou: 0.2728 enc_loss_cls: 0.3759 enc_loss_bbox: 0.1845 enc_loss_iou: 0.3284 dn_loss_cls: 0.0822 dn_loss_bbox: 0.1616 dn_loss_iou: 0.2268 d0.dn_loss_cls: 0.1702 d0.dn_loss_bbox: 0.3232 d0.dn_loss_iou: 0.3885 d1.dn_loss_cls: 0.1117 d1.dn_loss_bbox: 0.1989 d1.dn_loss_iou: 0.2625 d2.dn_loss_cls: 0.0952 d2.dn_loss_bbox: 0.1740 d2.dn_loss_iou: 0.2370 d3.dn_loss_cls: 0.0885 d3.dn_loss_bbox: 0.1646 d3.dn_loss_iou: 0.2292 d4.dn_loss_cls: 0.0836 d4.dn_loss_bbox: 0.1617 d4.dn_loss_iou: 0.2269 d1.loss_lmm_region: 0.1260 loss_lmm_image: 0.8625 2024/11/03 11:43:27 - mmengine - INFO - Iter(train) [ 81500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:52:06 time: 0.9902 data_time: 0.0184 memory: 22263 grad_norm: 21.6891 loss: 9.3421 loss_cls: 0.2778 loss_bbox: 0.1396 loss_iou: 0.2661 d0.loss_cls: 0.3141 d0.loss_bbox: 0.1596 d0.loss_iou: 0.2861 d1.loss_cls: 0.2930 d1.loss_bbox: 0.1486 d1.loss_iou: 0.2787 d2.loss_cls: 0.2889 d2.loss_bbox: 0.1410 d2.loss_iou: 0.2688 d3.loss_cls: 0.2852 d3.loss_bbox: 0.1404 d3.loss_iou: 0.2683 d4.loss_cls: 0.2802 d4.loss_bbox: 0.1364 d4.loss_iou: 0.2646 enc_loss_cls: 0.3377 enc_loss_bbox: 0.1726 enc_loss_iou: 0.3043 dn_loss_cls: 0.0758 dn_loss_bbox: 0.1623 dn_loss_iou: 0.2253 d0.dn_loss_cls: 0.1593 d0.dn_loss_bbox: 0.3149 d0.dn_loss_iou: 0.3755 d1.dn_loss_cls: 0.1106 d1.dn_loss_bbox: 0.2006 d1.dn_loss_iou: 0.2616 d2.dn_loss_cls: 0.0910 d2.dn_loss_bbox: 0.1720 d2.dn_loss_iou: 0.2338 d3.dn_loss_cls: 0.0814 d3.dn_loss_bbox: 0.1634 d3.dn_loss_iou: 0.2265 d4.dn_loss_cls: 0.0765 d4.dn_loss_bbox: 0.1623 d4.dn_loss_iou: 0.2251 d1.loss_lmm_region: 0.1332 loss_lmm_image: 0.8388 2024/11/03 11:45:05 - mmengine - INFO - Iter(train) [ 81600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:50:25 time: 0.9755 data_time: 0.0183 memory: 20364 grad_norm: 22.0879 loss: 10.1047 loss_cls: 0.3386 loss_bbox: 0.1548 loss_iou: 0.2956 d0.loss_cls: 0.3782 d0.loss_bbox: 0.1701 d0.loss_iou: 0.3132 d1.loss_cls: 0.3586 d1.loss_bbox: 0.1631 d1.loss_iou: 0.3026 d2.loss_cls: 0.3454 d2.loss_bbox: 0.1550 d2.loss_iou: 0.2953 d3.loss_cls: 0.3414 d3.loss_bbox: 0.1553 d3.loss_iou: 0.2964 d4.loss_cls: 0.3414 d4.loss_bbox: 0.1547 d4.loss_iou: 0.2955 enc_loss_cls: 0.3970 enc_loss_bbox: 0.1796 enc_loss_iou: 0.3357 dn_loss_cls: 0.1206 dn_loss_bbox: 0.1578 dn_loss_iou: 0.2117 d0.dn_loss_cls: 0.1755 d0.dn_loss_bbox: 0.2865 d0.dn_loss_iou: 0.3518 d1.dn_loss_cls: 0.1282 d1.dn_loss_bbox: 0.1868 d1.dn_loss_iou: 0.2433 d2.dn_loss_cls: 0.1167 d2.dn_loss_bbox: 0.1620 d2.dn_loss_iou: 0.2186 d3.dn_loss_cls: 0.1164 d3.dn_loss_bbox: 0.1592 d3.dn_loss_iou: 0.2130 d4.dn_loss_cls: 0.1229 d4.dn_loss_bbox: 0.1580 d4.dn_loss_iou: 0.2118 d1.loss_lmm_region: 0.1569 loss_lmm_image: 0.8397 2024/11/03 11:46:42 - mmengine - INFO - Iter(train) [ 81700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:48:44 time: 0.9741 data_time: 0.0184 memory: 20993 grad_norm: 21.7271 loss: 10.2003 loss_cls: 0.3460 loss_bbox: 0.1604 loss_iou: 0.3118 d0.loss_cls: 0.3924 d0.loss_bbox: 0.1689 d0.loss_iou: 0.3277 d1.loss_cls: 0.3736 d1.loss_bbox: 0.1650 d1.loss_iou: 0.3175 d2.loss_cls: 0.3599 d2.loss_bbox: 0.1618 d2.loss_iou: 0.3118 d3.loss_cls: 0.3541 d3.loss_bbox: 0.1593 d3.loss_iou: 0.3104 d4.loss_cls: 0.3482 d4.loss_bbox: 0.1584 d4.loss_iou: 0.3105 enc_loss_cls: 0.4146 enc_loss_bbox: 0.1865 enc_loss_iou: 0.3554 dn_loss_cls: 0.0822 dn_loss_bbox: 0.1638 dn_loss_iou: 0.2133 d0.dn_loss_cls: 0.1671 d0.dn_loss_bbox: 0.2944 d0.dn_loss_iou: 0.3478 d1.dn_loss_cls: 0.1152 d1.dn_loss_bbox: 0.1951 d1.dn_loss_iou: 0.2457 d2.dn_loss_cls: 0.0986 d2.dn_loss_bbox: 0.1734 d2.dn_loss_iou: 0.2218 d3.dn_loss_cls: 0.0882 d3.dn_loss_bbox: 0.1643 d3.dn_loss_iou: 0.2146 d4.dn_loss_cls: 0.0829 d4.dn_loss_bbox: 0.1638 d4.dn_loss_iou: 0.2132 d1.loss_lmm_region: 0.1356 loss_lmm_image: 0.8254 2024/11/03 11:48:20 - mmengine - INFO - Iter(train) [ 81800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:47:04 time: 0.9792 data_time: 0.0184 memory: 21765 grad_norm: 22.2562 loss: 9.6232 loss_cls: 0.3086 loss_bbox: 0.1439 loss_iou: 0.2673 d0.loss_cls: 0.3420 d0.loss_bbox: 0.1617 d0.loss_iou: 0.2942 d1.loss_cls: 0.3215 d1.loss_bbox: 0.1499 d1.loss_iou: 0.2809 d2.loss_cls: 0.3172 d2.loss_bbox: 0.1441 d2.loss_iou: 0.2711 d3.loss_cls: 0.3126 d3.loss_bbox: 0.1435 d3.loss_iou: 0.2677 d4.loss_cls: 0.3069 d4.loss_bbox: 0.1440 d4.loss_iou: 0.2671 enc_loss_cls: 0.3643 enc_loss_bbox: 0.1731 enc_loss_iou: 0.3150 dn_loss_cls: 0.0846 dn_loss_bbox: 0.1598 dn_loss_iou: 0.2232 d0.dn_loss_cls: 0.1702 d0.dn_loss_bbox: 0.3149 d0.dn_loss_iou: 0.3733 d1.dn_loss_cls: 0.1164 d1.dn_loss_bbox: 0.1965 d1.dn_loss_iou: 0.2584 d2.dn_loss_cls: 0.1022 d2.dn_loss_bbox: 0.1705 d2.dn_loss_iou: 0.2329 d3.dn_loss_cls: 0.0918 d3.dn_loss_bbox: 0.1603 d3.dn_loss_iou: 0.2244 d4.dn_loss_cls: 0.0841 d4.dn_loss_bbox: 0.1597 d4.dn_loss_iou: 0.2230 d1.loss_lmm_region: 0.1332 loss_lmm_image: 0.8469 2024/11/03 11:49:57 - mmengine - INFO - Iter(train) [ 81900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:45:23 time: 0.9750 data_time: 0.0183 memory: 21652 grad_norm: 23.2995 loss: 10.0453 loss_cls: 0.3193 loss_bbox: 0.1524 loss_iou: 0.2906 d0.loss_cls: 0.3529 d0.loss_bbox: 0.1645 d0.loss_iou: 0.3040 d1.loss_cls: 0.3344 d1.loss_bbox: 0.1583 d1.loss_iou: 0.2938 d2.loss_cls: 0.3282 d2.loss_bbox: 0.1537 d2.loss_iou: 0.2895 d3.loss_cls: 0.3233 d3.loss_bbox: 0.1539 d3.loss_iou: 0.2903 d4.loss_cls: 0.3205 d4.loss_bbox: 0.1515 d4.loss_iou: 0.2905 enc_loss_cls: 0.3734 enc_loss_bbox: 0.1767 enc_loss_iou: 0.3242 dn_loss_cls: 0.0977 dn_loss_bbox: 0.1656 dn_loss_iou: 0.2433 d0.dn_loss_cls: 0.1928 d0.dn_loss_bbox: 0.3243 d0.dn_loss_iou: 0.4087 d1.dn_loss_cls: 0.1291 d1.dn_loss_bbox: 0.1994 d1.dn_loss_iou: 0.2791 d2.dn_loss_cls: 0.1102 d2.dn_loss_bbox: 0.1734 d2.dn_loss_iou: 0.2527 d3.dn_loss_cls: 0.1026 d3.dn_loss_bbox: 0.1669 d3.dn_loss_iou: 0.2448 d4.dn_loss_cls: 0.0983 d4.dn_loss_bbox: 0.1656 d4.dn_loss_iou: 0.2434 d1.loss_lmm_region: 0.1460 loss_lmm_image: 0.7553 2024/11/03 11:51:34 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 11:51:34 - mmengine - INFO - Iter(train) [ 82000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:43:42 time: 0.9760 data_time: 0.0182 memory: 20059 grad_norm: 20.5628 loss: 9.5303 loss_cls: 0.2875 loss_bbox: 0.1553 loss_iou: 0.2826 d0.loss_cls: 0.3258 d0.loss_bbox: 0.1634 d0.loss_iou: 0.2944 d1.loss_cls: 0.3132 d1.loss_bbox: 0.1516 d1.loss_iou: 0.2843 d2.loss_cls: 0.3020 d2.loss_bbox: 0.1481 d2.loss_iou: 0.2795 d3.loss_cls: 0.2980 d3.loss_bbox: 0.1488 d3.loss_iou: 0.2799 d4.loss_cls: 0.2937 d4.loss_bbox: 0.1518 d4.loss_iou: 0.2811 enc_loss_cls: 0.3414 enc_loss_bbox: 0.1826 enc_loss_iou: 0.3153 dn_loss_cls: 0.0924 dn_loss_bbox: 0.1656 dn_loss_iou: 0.2198 d0.dn_loss_cls: 0.1768 d0.dn_loss_bbox: 0.3127 d0.dn_loss_iou: 0.3613 d1.dn_loss_cls: 0.1205 d1.dn_loss_bbox: 0.1922 d1.dn_loss_iou: 0.2484 d2.dn_loss_cls: 0.1042 d2.dn_loss_bbox: 0.1726 d2.dn_loss_iou: 0.2266 d3.dn_loss_cls: 0.0966 d3.dn_loss_bbox: 0.1666 d3.dn_loss_iou: 0.2206 d4.dn_loss_cls: 0.0942 d4.dn_loss_bbox: 0.1657 d4.dn_loss_iou: 0.2199 d1.loss_lmm_region: 0.1363 loss_lmm_image: 0.7570 2024/11/03 11:53:11 - mmengine - INFO - Iter(train) [ 82100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:42:01 time: 0.9716 data_time: 0.0184 memory: 20896 grad_norm: 22.4907 loss: 9.1683 loss_cls: 0.2873 loss_bbox: 0.1420 loss_iou: 0.2736 d0.loss_cls: 0.3273 d0.loss_bbox: 0.1553 d0.loss_iou: 0.2854 d1.loss_cls: 0.3081 d1.loss_bbox: 0.1473 d1.loss_iou: 0.2783 d2.loss_cls: 0.2999 d2.loss_bbox: 0.1428 d2.loss_iou: 0.2737 d3.loss_cls: 0.2919 d3.loss_bbox: 0.1451 d3.loss_iou: 0.2731 d4.loss_cls: 0.2903 d4.loss_bbox: 0.1408 d4.loss_iou: 0.2714 enc_loss_cls: 0.3383 enc_loss_bbox: 0.1785 enc_loss_iou: 0.3164 dn_loss_cls: 0.0642 dn_loss_bbox: 0.1502 dn_loss_iou: 0.2189 d0.dn_loss_cls: 0.1510 d0.dn_loss_bbox: 0.2787 d0.dn_loss_iou: 0.3588 d1.dn_loss_cls: 0.0905 d1.dn_loss_bbox: 0.1795 d1.dn_loss_iou: 0.2510 d2.dn_loss_cls: 0.0765 d2.dn_loss_bbox: 0.1571 d2.dn_loss_iou: 0.2268 d3.dn_loss_cls: 0.0700 d3.dn_loss_bbox: 0.1510 d3.dn_loss_iou: 0.2203 d4.dn_loss_cls: 0.0643 d4.dn_loss_bbox: 0.1501 d4.dn_loss_iou: 0.2189 d1.loss_lmm_region: 0.1195 loss_lmm_image: 0.8040 2024/11/03 11:54:48 - mmengine - INFO - Iter(train) [ 82200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:40:21 time: 0.9688 data_time: 0.0183 memory: 21798 grad_norm: 21.5211 loss: 9.0688 loss_cls: 0.2921 loss_bbox: 0.1343 loss_iou: 0.2478 d0.loss_cls: 0.3198 d0.loss_bbox: 0.1540 d0.loss_iou: 0.2720 d1.loss_cls: 0.3059 d1.loss_bbox: 0.1396 d1.loss_iou: 0.2555 d2.loss_cls: 0.2953 d2.loss_bbox: 0.1412 d2.loss_iou: 0.2523 d3.loss_cls: 0.2995 d3.loss_bbox: 0.1346 d3.loss_iou: 0.2480 d4.loss_cls: 0.2933 d4.loss_bbox: 0.1347 d4.loss_iou: 0.2480 enc_loss_cls: 0.3392 enc_loss_bbox: 0.1624 enc_loss_iou: 0.2919 dn_loss_cls: 0.0814 dn_loss_bbox: 0.1521 dn_loss_iou: 0.2113 d0.dn_loss_cls: 0.1670 d0.dn_loss_bbox: 0.2857 d0.dn_loss_iou: 0.3521 d1.dn_loss_cls: 0.1144 d1.dn_loss_bbox: 0.1838 d1.dn_loss_iou: 0.2434 d2.dn_loss_cls: 0.0949 d2.dn_loss_bbox: 0.1616 d2.dn_loss_iou: 0.2212 d3.dn_loss_cls: 0.0852 d3.dn_loss_bbox: 0.1528 d3.dn_loss_iou: 0.2131 d4.dn_loss_cls: 0.0829 d4.dn_loss_bbox: 0.1521 d4.dn_loss_iou: 0.2113 d1.loss_lmm_region: 0.1207 loss_lmm_image: 0.8202 2024/11/03 11:56:25 - mmengine - INFO - Iter(train) [ 82300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:38:39 time: 0.9636 data_time: 0.0182 memory: 20564 grad_norm: 28.6154 loss: 9.5398 loss_cls: 0.2778 loss_bbox: 0.1469 loss_iou: 0.2779 d0.loss_cls: 0.3029 d0.loss_bbox: 0.1648 d0.loss_iou: 0.2992 d1.loss_cls: 0.2917 d1.loss_bbox: 0.1551 d1.loss_iou: 0.2890 d2.loss_cls: 0.2869 d2.loss_bbox: 0.1477 d2.loss_iou: 0.2795 d3.loss_cls: 0.2805 d3.loss_bbox: 0.1485 d3.loss_iou: 0.2779 d4.loss_cls: 0.2781 d4.loss_bbox: 0.1467 d4.loss_iou: 0.2775 enc_loss_cls: 0.3245 enc_loss_bbox: 0.1783 enc_loss_iou: 0.3158 dn_loss_cls: 0.0844 dn_loss_bbox: 0.1743 dn_loss_iou: 0.2309 d0.dn_loss_cls: 0.1638 d0.dn_loss_bbox: 0.3301 d0.dn_loss_iou: 0.3793 d1.dn_loss_cls: 0.1107 d1.dn_loss_bbox: 0.2093 d1.dn_loss_iou: 0.2674 d2.dn_loss_cls: 0.0949 d2.dn_loss_bbox: 0.1816 d2.dn_loss_iou: 0.2394 d3.dn_loss_cls: 0.0878 d3.dn_loss_bbox: 0.1742 d3.dn_loss_iou: 0.2313 d4.dn_loss_cls: 0.0849 d4.dn_loss_bbox: 0.1744 d4.dn_loss_iou: 0.2309 d1.loss_lmm_region: 0.1161 loss_lmm_image: 0.8270 2024/11/03 11:58:01 - mmengine - INFO - Iter(train) [ 82400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:36:58 time: 0.9670 data_time: 0.0183 memory: 20382 grad_norm: 20.7621 loss: 9.8943 loss_cls: 0.3391 loss_bbox: 0.1499 loss_iou: 0.2920 d0.loss_cls: 0.3764 d0.loss_bbox: 0.1688 d0.loss_iou: 0.3151 d1.loss_cls: 0.3539 d1.loss_bbox: 0.1601 d1.loss_iou: 0.3045 d2.loss_cls: 0.3447 d2.loss_bbox: 0.1534 d2.loss_iou: 0.2955 d3.loss_cls: 0.3437 d3.loss_bbox: 0.1499 d3.loss_iou: 0.2928 d4.loss_cls: 0.3368 d4.loss_bbox: 0.1518 d4.loss_iou: 0.2927 enc_loss_cls: 0.3919 enc_loss_bbox: 0.1861 enc_loss_iou: 0.3400 dn_loss_cls: 0.0720 dn_loss_bbox: 0.1454 dn_loss_iou: 0.2272 d0.dn_loss_cls: 0.1621 d0.dn_loss_bbox: 0.2863 d0.dn_loss_iou: 0.3780 d1.dn_loss_cls: 0.1058 d1.dn_loss_bbox: 0.1771 d1.dn_loss_iou: 0.2594 d2.dn_loss_cls: 0.0879 d2.dn_loss_bbox: 0.1531 d2.dn_loss_iou: 0.2359 d3.dn_loss_cls: 0.0765 d3.dn_loss_bbox: 0.1476 d3.dn_loss_iou: 0.2286 d4.dn_loss_cls: 0.0722 d4.dn_loss_bbox: 0.1454 d4.dn_loss_iou: 0.2271 d1.loss_lmm_region: 0.1425 loss_lmm_image: 0.8251 2024/11/03 11:59:39 - mmengine - INFO - Iter(train) [ 82500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:35:17 time: 0.9738 data_time: 0.0183 memory: 21042 grad_norm: 20.7377 loss: 9.1469 loss_cls: 0.2850 loss_bbox: 0.1377 loss_iou: 0.2290 d0.loss_cls: 0.3106 d0.loss_bbox: 0.1530 d0.loss_iou: 0.2578 d1.loss_cls: 0.3014 d1.loss_bbox: 0.1387 d1.loss_iou: 0.2341 d2.loss_cls: 0.2944 d2.loss_bbox: 0.1366 d2.loss_iou: 0.2312 d3.loss_cls: 0.2877 d3.loss_bbox: 0.1397 d3.loss_iou: 0.2314 d4.loss_cls: 0.2848 d4.loss_bbox: 0.1368 d4.loss_iou: 0.2298 enc_loss_cls: 0.3264 enc_loss_bbox: 0.1674 enc_loss_iou: 0.2755 dn_loss_cls: 0.0897 dn_loss_bbox: 0.1734 dn_loss_iou: 0.2111 d0.dn_loss_cls: 0.1662 d0.dn_loss_bbox: 0.3482 d0.dn_loss_iou: 0.3703 d1.dn_loss_cls: 0.1143 d1.dn_loss_bbox: 0.2183 d1.dn_loss_iou: 0.2496 d2.dn_loss_cls: 0.1024 d2.dn_loss_bbox: 0.1873 d2.dn_loss_iou: 0.2228 d3.dn_loss_cls: 0.0931 d3.dn_loss_bbox: 0.1759 d3.dn_loss_iou: 0.2131 d4.dn_loss_cls: 0.0905 d4.dn_loss_bbox: 0.1734 d4.dn_loss_iou: 0.2112 d1.loss_lmm_region: 0.1385 loss_lmm_image: 0.8085 2024/11/03 12:01:17 - mmengine - INFO - Iter(train) [ 82600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:33:37 time: 0.9756 data_time: 0.0183 memory: 20142 grad_norm: 22.7165 loss: 10.1377 loss_cls: 0.3134 loss_bbox: 0.1525 loss_iou: 0.2867 d0.loss_cls: 0.3482 d0.loss_bbox: 0.1645 d0.loss_iou: 0.3079 d1.loss_cls: 0.3298 d1.loss_bbox: 0.1596 d1.loss_iou: 0.2981 d2.loss_cls: 0.3296 d2.loss_bbox: 0.1488 d2.loss_iou: 0.2877 d3.loss_cls: 0.3196 d3.loss_bbox: 0.1514 d3.loss_iou: 0.2875 d4.loss_cls: 0.3163 d4.loss_bbox: 0.1525 d4.loss_iou: 0.2856 enc_loss_cls: 0.3695 enc_loss_bbox: 0.1787 enc_loss_iou: 0.3203 dn_loss_cls: 0.1055 dn_loss_bbox: 0.1731 dn_loss_iou: 0.2366 d0.dn_loss_cls: 0.1939 d0.dn_loss_bbox: 0.3317 d0.dn_loss_iou: 0.3919 d1.dn_loss_cls: 0.1405 d1.dn_loss_bbox: 0.2130 d1.dn_loss_iou: 0.2745 d2.dn_loss_cls: 0.1244 d2.dn_loss_bbox: 0.1826 d2.dn_loss_iou: 0.2468 d3.dn_loss_cls: 0.1121 d3.dn_loss_bbox: 0.1744 d3.dn_loss_iou: 0.2378 d4.dn_loss_cls: 0.1068 d4.dn_loss_bbox: 0.1730 d4.dn_loss_iou: 0.2365 d1.loss_lmm_region: 0.1544 loss_lmm_image: 0.8203 2024/11/03 12:02:54 - mmengine - INFO - Iter(train) [ 82700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:31:56 time: 0.9704 data_time: 0.0184 memory: 20793 grad_norm: 20.1868 loss: 8.5127 loss_cls: 0.2626 loss_bbox: 0.1227 loss_iou: 0.2066 d0.loss_cls: 0.2887 d0.loss_bbox: 0.1380 d0.loss_iou: 0.2189 d1.loss_cls: 0.2824 d1.loss_bbox: 0.1259 d1.loss_iou: 0.2122 d2.loss_cls: 0.2685 d2.loss_bbox: 0.1259 d2.loss_iou: 0.2092 d3.loss_cls: 0.2683 d3.loss_bbox: 0.1213 d3.loss_iou: 0.2059 d4.loss_cls: 0.2609 d4.loss_bbox: 0.1232 d4.loss_iou: 0.2071 enc_loss_cls: 0.3147 enc_loss_bbox: 0.1488 enc_loss_iou: 0.2383 dn_loss_cls: 0.0925 dn_loss_bbox: 0.1557 dn_loss_iou: 0.1980 d0.dn_loss_cls: 0.1670 d0.dn_loss_bbox: 0.3020 d0.dn_loss_iou: 0.3379 d1.dn_loss_cls: 0.1167 d1.dn_loss_bbox: 0.1900 d1.dn_loss_iou: 0.2316 d2.dn_loss_cls: 0.1044 d2.dn_loss_bbox: 0.1649 d2.dn_loss_iou: 0.2073 d3.dn_loss_cls: 0.0984 d3.dn_loss_bbox: 0.1576 d3.dn_loss_iou: 0.1995 d4.dn_loss_cls: 0.0925 d4.dn_loss_bbox: 0.1556 d4.dn_loss_iou: 0.1979 d1.loss_lmm_region: 0.1432 loss_lmm_image: 0.8499 2024/11/03 12:04:31 - mmengine - INFO - Iter(train) [ 82800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:30:16 time: 0.9734 data_time: 0.0183 memory: 21083 grad_norm: 21.9805 loss: 8.5006 loss_cls: 0.2750 loss_bbox: 0.1092 loss_iou: 0.2122 d0.loss_cls: 0.3059 d0.loss_bbox: 0.1372 d0.loss_iou: 0.2364 d1.loss_cls: 0.2989 d1.loss_bbox: 0.1190 d1.loss_iou: 0.2188 d2.loss_cls: 0.2862 d2.loss_bbox: 0.1107 d2.loss_iou: 0.2120 d3.loss_cls: 0.2794 d3.loss_bbox: 0.1118 d3.loss_iou: 0.2136 d4.loss_cls: 0.2759 d4.loss_bbox: 0.1100 d4.loss_iou: 0.2128 enc_loss_cls: 0.3232 enc_loss_bbox: 0.1455 enc_loss_iou: 0.2586 dn_loss_cls: 0.0719 dn_loss_bbox: 0.1609 dn_loss_iou: 0.2010 d0.dn_loss_cls: 0.1560 d0.dn_loss_bbox: 0.3146 d0.dn_loss_iou: 0.3437 d1.dn_loss_cls: 0.1025 d1.dn_loss_bbox: 0.1931 d1.dn_loss_iou: 0.2314 d2.dn_loss_cls: 0.0856 d2.dn_loss_bbox: 0.1706 d2.dn_loss_iou: 0.2083 d3.dn_loss_cls: 0.0782 d3.dn_loss_bbox: 0.1625 d3.dn_loss_iou: 0.2019 d4.dn_loss_cls: 0.0725 d4.dn_loss_bbox: 0.1608 d4.dn_loss_iou: 0.2008 d1.loss_lmm_region: 0.1110 loss_lmm_image: 0.8211 2024/11/03 12:06:08 - mmengine - INFO - Iter(train) [ 82900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:28:35 time: 0.9746 data_time: 0.0183 memory: 21323 grad_norm: 23.0694 loss: 11.0184 loss_cls: 0.3801 loss_bbox: 0.1705 loss_iou: 0.3529 d0.loss_cls: 0.4145 d0.loss_bbox: 0.1863 d0.loss_iou: 0.3748 d1.loss_cls: 0.3940 d1.loss_bbox: 0.1786 d1.loss_iou: 0.3634 d2.loss_cls: 0.3871 d2.loss_bbox: 0.1773 d2.loss_iou: 0.3584 d3.loss_cls: 0.3845 d3.loss_bbox: 0.1729 d3.loss_iou: 0.3541 d4.loss_cls: 0.3807 d4.loss_bbox: 0.1730 d4.loss_iou: 0.3537 enc_loss_cls: 0.4464 enc_loss_bbox: 0.1947 enc_loss_iou: 0.3977 dn_loss_cls: 0.0926 dn_loss_bbox: 0.1645 dn_loss_iou: 0.2432 d0.dn_loss_cls: 0.1820 d0.dn_loss_bbox: 0.3043 d0.dn_loss_iou: 0.3906 d1.dn_loss_cls: 0.1239 d1.dn_loss_bbox: 0.1962 d1.dn_loss_iou: 0.2779 d2.dn_loss_cls: 0.1086 d2.dn_loss_bbox: 0.1717 d2.dn_loss_iou: 0.2515 d3.dn_loss_cls: 0.0999 d3.dn_loss_bbox: 0.1655 d3.dn_loss_iou: 0.2441 d4.dn_loss_cls: 0.0944 d4.dn_loss_bbox: 0.1645 d4.dn_loss_iou: 0.2431 d1.loss_lmm_region: 0.1237 loss_lmm_image: 0.7807 2024/11/03 12:07:45 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 12:07:45 - mmengine - INFO - Iter(train) [ 83000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:26:54 time: 0.9687 data_time: 0.0183 memory: 21796 grad_norm: 20.4023 loss: 10.2150 loss_cls: 0.3452 loss_bbox: 0.1647 loss_iou: 0.2974 d0.loss_cls: 0.3872 d0.loss_bbox: 0.1735 d0.loss_iou: 0.3170 d1.loss_cls: 0.3639 d1.loss_bbox: 0.1638 d1.loss_iou: 0.3010 d2.loss_cls: 0.3568 d2.loss_bbox: 0.1596 d2.loss_iou: 0.3012 d3.loss_cls: 0.3486 d3.loss_bbox: 0.1637 d3.loss_iou: 0.2999 d4.loss_cls: 0.3473 d4.loss_bbox: 0.1626 d4.loss_iou: 0.2980 enc_loss_cls: 0.3999 enc_loss_bbox: 0.1930 enc_loss_iou: 0.3369 dn_loss_cls: 0.0825 dn_loss_bbox: 0.1595 dn_loss_iou: 0.2315 d0.dn_loss_cls: 0.1707 d0.dn_loss_bbox: 0.2998 d0.dn_loss_iou: 0.3761 d1.dn_loss_cls: 0.1094 d1.dn_loss_bbox: 0.1934 d1.dn_loss_iou: 0.2675 d2.dn_loss_cls: 0.0960 d2.dn_loss_bbox: 0.1672 d2.dn_loss_iou: 0.2405 d3.dn_loss_cls: 0.0864 d3.dn_loss_bbox: 0.1598 d3.dn_loss_iou: 0.2323 d4.dn_loss_cls: 0.0825 d4.dn_loss_bbox: 0.1595 d4.dn_loss_iou: 0.2315 d1.loss_lmm_region: 0.1463 loss_lmm_image: 0.8411 2024/11/03 12:09:22 - mmengine - INFO - Iter(train) [ 83100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:25:13 time: 0.9665 data_time: 0.0183 memory: 21153 grad_norm: 21.5387 loss: 8.7649 loss_cls: 0.2683 loss_bbox: 0.1223 loss_iou: 0.2287 d0.loss_cls: 0.2918 d0.loss_bbox: 0.1371 d0.loss_iou: 0.2423 d1.loss_cls: 0.2749 d1.loss_bbox: 0.1304 d1.loss_iou: 0.2343 d2.loss_cls: 0.2737 d2.loss_bbox: 0.1269 d2.loss_iou: 0.2325 d3.loss_cls: 0.2702 d3.loss_bbox: 0.1253 d3.loss_iou: 0.2312 d4.loss_cls: 0.2683 d4.loss_bbox: 0.1226 d4.loss_iou: 0.2283 enc_loss_cls: 0.3088 enc_loss_bbox: 0.1505 enc_loss_iou: 0.2589 dn_loss_cls: 0.0816 dn_loss_bbox: 0.1682 dn_loss_iou: 0.2090 d0.dn_loss_cls: 0.1689 d0.dn_loss_bbox: 0.3080 d0.dn_loss_iou: 0.3410 d1.dn_loss_cls: 0.1125 d1.dn_loss_bbox: 0.2062 d1.dn_loss_iou: 0.2431 d2.dn_loss_cls: 0.0986 d2.dn_loss_bbox: 0.1792 d2.dn_loss_iou: 0.2183 d3.dn_loss_cls: 0.0870 d3.dn_loss_bbox: 0.1696 d3.dn_loss_iou: 0.2104 d4.dn_loss_cls: 0.0836 d4.dn_loss_bbox: 0.1683 d4.dn_loss_iou: 0.2090 d1.loss_lmm_region: 0.1389 loss_lmm_image: 0.8361 2024/11/03 12:11:00 - mmengine - INFO - Iter(train) [ 83200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:23:33 time: 0.9790 data_time: 0.0183 memory: 21089 grad_norm: 20.6889 loss: 9.2004 loss_cls: 0.2798 loss_bbox: 0.1320 loss_iou: 0.2485 d0.loss_cls: 0.3164 d0.loss_bbox: 0.1402 d0.loss_iou: 0.2613 d1.loss_cls: 0.3013 d1.loss_bbox: 0.1322 d1.loss_iou: 0.2519 d2.loss_cls: 0.2898 d2.loss_bbox: 0.1318 d2.loss_iou: 0.2519 d3.loss_cls: 0.2866 d3.loss_bbox: 0.1294 d3.loss_iou: 0.2468 d4.loss_cls: 0.2799 d4.loss_bbox: 0.1316 d4.loss_iou: 0.2491 enc_loss_cls: 0.3333 enc_loss_bbox: 0.1569 enc_loss_iou: 0.2857 dn_loss_cls: 0.1108 dn_loss_bbox: 0.1596 dn_loss_iou: 0.2110 d0.dn_loss_cls: 0.1960 d0.dn_loss_bbox: 0.3242 d0.dn_loss_iou: 0.3682 d1.dn_loss_cls: 0.1412 d1.dn_loss_bbox: 0.1975 d1.dn_loss_iou: 0.2482 d2.dn_loss_cls: 0.1226 d2.dn_loss_bbox: 0.1684 d2.dn_loss_iou: 0.2202 d3.dn_loss_cls: 0.1161 d3.dn_loss_bbox: 0.1606 d3.dn_loss_iou: 0.2125 d4.dn_loss_cls: 0.1123 d4.dn_loss_bbox: 0.1595 d4.dn_loss_iou: 0.2107 d1.loss_lmm_region: 0.1279 loss_lmm_image: 0.7965 2024/11/03 12:12:38 - mmengine - INFO - Iter(train) [ 83300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:21:53 time: 0.9671 data_time: 0.0183 memory: 21282 grad_norm: 22.6070 loss: 9.8144 loss_cls: 0.3322 loss_bbox: 0.1435 loss_iou: 0.3036 d0.loss_cls: 0.3737 d0.loss_bbox: 0.1584 d0.loss_iou: 0.3186 d1.loss_cls: 0.3472 d1.loss_bbox: 0.1454 d1.loss_iou: 0.3064 d2.loss_cls: 0.3411 d2.loss_bbox: 0.1449 d2.loss_iou: 0.3064 d3.loss_cls: 0.3371 d3.loss_bbox: 0.1429 d3.loss_iou: 0.3039 d4.loss_cls: 0.3344 d4.loss_bbox: 0.1417 d4.loss_iou: 0.3029 enc_loss_cls: 0.3881 enc_loss_bbox: 0.1696 enc_loss_iou: 0.3413 dn_loss_cls: 0.0764 dn_loss_bbox: 0.1485 dn_loss_iou: 0.2245 d0.dn_loss_cls: 0.1579 d0.dn_loss_bbox: 0.2951 d0.dn_loss_iou: 0.3695 d1.dn_loss_cls: 0.1095 d1.dn_loss_bbox: 0.1852 d1.dn_loss_iou: 0.2605 d2.dn_loss_cls: 0.0966 d2.dn_loss_bbox: 0.1572 d2.dn_loss_iou: 0.2333 d3.dn_loss_cls: 0.0836 d3.dn_loss_bbox: 0.1499 d3.dn_loss_iou: 0.2257 d4.dn_loss_cls: 0.0783 d4.dn_loss_bbox: 0.1484 d4.dn_loss_iou: 0.2244 d1.loss_lmm_region: 0.1251 loss_lmm_image: 0.7815 2024/11/03 12:14:15 - mmengine - INFO - Iter(train) [ 83400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:20:13 time: 0.9760 data_time: 0.0184 memory: 20947 grad_norm: 25.4412 loss: 8.3636 loss_cls: 0.2505 loss_bbox: 0.1192 loss_iou: 0.2264 d0.loss_cls: 0.2967 d0.loss_bbox: 0.1277 d0.loss_iou: 0.2396 d1.loss_cls: 0.2698 d1.loss_bbox: 0.1223 d1.loss_iou: 0.2316 d2.loss_cls: 0.2585 d2.loss_bbox: 0.1197 d2.loss_iou: 0.2262 d3.loss_cls: 0.2543 d3.loss_bbox: 0.1183 d3.loss_iou: 0.2244 d4.loss_cls: 0.2532 d4.loss_bbox: 0.1186 d4.loss_iou: 0.2264 enc_loss_cls: 0.3073 enc_loss_bbox: 0.1451 enc_loss_iou: 0.2625 dn_loss_cls: 0.0673 dn_loss_bbox: 0.1432 dn_loss_iou: 0.2071 d0.dn_loss_cls: 0.1506 d0.dn_loss_bbox: 0.2960 d0.dn_loss_iou: 0.3628 d1.dn_loss_cls: 0.0958 d1.dn_loss_bbox: 0.1799 d1.dn_loss_iou: 0.2450 d2.dn_loss_cls: 0.0791 d2.dn_loss_bbox: 0.1546 d2.dn_loss_iou: 0.2180 d3.dn_loss_cls: 0.0707 d3.dn_loss_bbox: 0.1451 d3.dn_loss_iou: 0.2091 d4.dn_loss_cls: 0.0673 d4.dn_loss_bbox: 0.1433 d4.dn_loss_iou: 0.2068 d1.loss_lmm_region: 0.1184 loss_lmm_image: 0.8050 2024/11/03 12:15:53 - mmengine - INFO - Iter(train) [ 83500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:18:32 time: 0.9716 data_time: 0.0183 memory: 21374 grad_norm: 22.9695 loss: 9.0271 loss_cls: 0.2889 loss_bbox: 0.1184 loss_iou: 0.2387 d0.loss_cls: 0.3260 d0.loss_bbox: 0.1276 d0.loss_iou: 0.2536 d1.loss_cls: 0.3087 d1.loss_bbox: 0.1246 d1.loss_iou: 0.2446 d2.loss_cls: 0.2953 d2.loss_bbox: 0.1214 d2.loss_iou: 0.2426 d3.loss_cls: 0.2948 d3.loss_bbox: 0.1194 d3.loss_iou: 0.2385 d4.loss_cls: 0.2920 d4.loss_bbox: 0.1178 d4.loss_iou: 0.2380 enc_loss_cls: 0.3383 enc_loss_bbox: 0.1455 enc_loss_iou: 0.2832 dn_loss_cls: 0.0763 dn_loss_bbox: 0.1611 dn_loss_iou: 0.2227 d0.dn_loss_cls: 0.1714 d0.dn_loss_bbox: 0.3119 d0.dn_loss_iou: 0.3758 d1.dn_loss_cls: 0.1062 d1.dn_loss_bbox: 0.1906 d1.dn_loss_iou: 0.2563 d2.dn_loss_cls: 0.0901 d2.dn_loss_bbox: 0.1700 d2.dn_loss_iou: 0.2321 d3.dn_loss_cls: 0.0836 d3.dn_loss_bbox: 0.1617 d3.dn_loss_iou: 0.2234 d4.dn_loss_cls: 0.0770 d4.dn_loss_bbox: 0.1611 d4.dn_loss_iou: 0.2228 d1.loss_lmm_region: 0.1368 loss_lmm_image: 0.8382 2024/11/03 12:17:31 - mmengine - INFO - Iter(train) [ 83600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:16:52 time: 0.9809 data_time: 0.0183 memory: 21281 grad_norm: 33.0148 loss: 8.7197 loss_cls: 0.2492 loss_bbox: 0.1190 loss_iou: 0.2118 d0.loss_cls: 0.2797 d0.loss_bbox: 0.1315 d0.loss_iou: 0.2300 d1.loss_cls: 0.2676 d1.loss_bbox: 0.1240 d1.loss_iou: 0.2209 d2.loss_cls: 0.2599 d2.loss_bbox: 0.1189 d2.loss_iou: 0.2112 d3.loss_cls: 0.2567 d3.loss_bbox: 0.1155 d3.loss_iou: 0.2098 d4.loss_cls: 0.2501 d4.loss_bbox: 0.1168 d4.loss_iou: 0.2128 enc_loss_cls: 0.2956 enc_loss_bbox: 0.1428 enc_loss_iou: 0.2486 dn_loss_cls: 0.1111 dn_loss_bbox: 0.1752 dn_loss_iou: 0.2149 d0.dn_loss_cls: 0.1847 d0.dn_loss_bbox: 0.3325 d0.dn_loss_iou: 0.3605 d1.dn_loss_cls: 0.1326 d1.dn_loss_bbox: 0.2088 d1.dn_loss_iou: 0.2469 d2.dn_loss_cls: 0.1218 d2.dn_loss_bbox: 0.1843 d2.dn_loss_iou: 0.2226 d3.dn_loss_cls: 0.1153 d3.dn_loss_bbox: 0.1769 d3.dn_loss_iou: 0.2166 d4.dn_loss_cls: 0.1121 d4.dn_loss_bbox: 0.1750 d4.dn_loss_iou: 0.2149 d1.loss_lmm_region: 0.1368 loss_lmm_image: 0.8037 2024/11/03 12:19:10 - mmengine - INFO - Iter(train) [ 83700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:15:13 time: 0.9815 data_time: 0.0182 memory: 20146 grad_norm: 23.8649 loss: 9.8190 loss_cls: 0.3079 loss_bbox: 0.1450 loss_iou: 0.2703 d0.loss_cls: 0.3383 d0.loss_bbox: 0.1675 d0.loss_iou: 0.2944 d1.loss_cls: 0.3208 d1.loss_bbox: 0.1530 d1.loss_iou: 0.2796 d2.loss_cls: 0.3159 d2.loss_bbox: 0.1472 d2.loss_iou: 0.2692 d3.loss_cls: 0.3123 d3.loss_bbox: 0.1482 d3.loss_iou: 0.2708 d4.loss_cls: 0.3074 d4.loss_bbox: 0.1454 d4.loss_iou: 0.2694 enc_loss_cls: 0.3536 enc_loss_bbox: 0.1749 enc_loss_iou: 0.3093 dn_loss_cls: 0.0901 dn_loss_bbox: 0.1768 dn_loss_iou: 0.2249 d0.dn_loss_cls: 0.1805 d0.dn_loss_bbox: 0.3357 d0.dn_loss_iou: 0.3786 d1.dn_loss_cls: 0.1268 d1.dn_loss_bbox: 0.2158 d1.dn_loss_iou: 0.2629 d2.dn_loss_cls: 0.1070 d2.dn_loss_bbox: 0.1876 d2.dn_loss_iou: 0.2352 d3.dn_loss_cls: 0.0943 d3.dn_loss_bbox: 0.1789 d3.dn_loss_iou: 0.2265 d4.dn_loss_cls: 0.0903 d4.dn_loss_bbox: 0.1768 d4.dn_loss_iou: 0.2247 d1.loss_lmm_region: 0.1429 loss_lmm_image: 0.8624 2024/11/03 12:20:47 - mmengine - INFO - Iter(train) [ 83800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:13:32 time: 0.9767 data_time: 0.0184 memory: 20606 grad_norm: 21.6615 loss: 10.0525 loss_cls: 0.3053 loss_bbox: 0.1506 loss_iou: 0.2804 d0.loss_cls: 0.3498 d0.loss_bbox: 0.1651 d0.loss_iou: 0.3011 d1.loss_cls: 0.3288 d1.loss_bbox: 0.1561 d1.loss_iou: 0.2859 d2.loss_cls: 0.3171 d2.loss_bbox: 0.1509 d2.loss_iou: 0.2794 d3.loss_cls: 0.3114 d3.loss_bbox: 0.1497 d3.loss_iou: 0.2787 d4.loss_cls: 0.3069 d4.loss_bbox: 0.1500 d4.loss_iou: 0.2787 enc_loss_cls: 0.3710 enc_loss_bbox: 0.1765 enc_loss_iou: 0.3196 dn_loss_cls: 0.1091 dn_loss_bbox: 0.1743 dn_loss_iou: 0.2462 d0.dn_loss_cls: 0.2052 d0.dn_loss_bbox: 0.3285 d0.dn_loss_iou: 0.4062 d1.dn_loss_cls: 0.1406 d1.dn_loss_bbox: 0.2083 d1.dn_loss_iou: 0.2805 d2.dn_loss_cls: 0.1231 d2.dn_loss_bbox: 0.1829 d2.dn_loss_iou: 0.2550 d3.dn_loss_cls: 0.1119 d3.dn_loss_bbox: 0.1749 d3.dn_loss_iou: 0.2471 d4.dn_loss_cls: 0.1081 d4.dn_loss_bbox: 0.1744 d4.dn_loss_iou: 0.2462 d1.loss_lmm_region: 0.1497 loss_lmm_image: 0.7672 2024/11/03 12:22:24 - mmengine - INFO - Iter(train) [ 83900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:11:51 time: 0.9674 data_time: 0.0182 memory: 21582 grad_norm: 23.1392 loss: 10.3802 loss_cls: 0.3571 loss_bbox: 0.1635 loss_iou: 0.2901 d0.loss_cls: 0.3971 d0.loss_bbox: 0.1842 d0.loss_iou: 0.3137 d1.loss_cls: 0.3841 d1.loss_bbox: 0.1690 d1.loss_iou: 0.2969 d2.loss_cls: 0.3724 d2.loss_bbox: 0.1648 d2.loss_iou: 0.2909 d3.loss_cls: 0.3633 d3.loss_bbox: 0.1667 d3.loss_iou: 0.2938 d4.loss_cls: 0.3596 d4.loss_bbox: 0.1651 d4.loss_iou: 0.2913 enc_loss_cls: 0.4191 enc_loss_bbox: 0.1948 enc_loss_iou: 0.3362 dn_loss_cls: 0.0855 dn_loss_bbox: 0.1740 dn_loss_iou: 0.2269 d0.dn_loss_cls: 0.1715 d0.dn_loss_bbox: 0.3323 d0.dn_loss_iou: 0.3731 d1.dn_loss_cls: 0.1184 d1.dn_loss_bbox: 0.2070 d1.dn_loss_iou: 0.2589 d2.dn_loss_cls: 0.1035 d2.dn_loss_bbox: 0.1810 d2.dn_loss_iou: 0.2354 d3.dn_loss_cls: 0.0919 d3.dn_loss_bbox: 0.1741 d3.dn_loss_iou: 0.2279 d4.dn_loss_cls: 0.0872 d4.dn_loss_bbox: 0.1740 d4.dn_loss_iou: 0.2270 d1.loss_lmm_region: 0.1400 loss_lmm_image: 0.8167 2024/11/03 12:24:01 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 12:24:01 - mmengine - INFO - Iter(train) [ 84000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:10:11 time: 0.9734 data_time: 0.0183 memory: 21395 grad_norm: 23.4288 loss: 9.4543 loss_cls: 0.3043 loss_bbox: 0.1444 loss_iou: 0.2628 d0.loss_cls: 0.3393 d0.loss_bbox: 0.1646 d0.loss_iou: 0.2854 d1.loss_cls: 0.3218 d1.loss_bbox: 0.1556 d1.loss_iou: 0.2776 d2.loss_cls: 0.3158 d2.loss_bbox: 0.1439 d2.loss_iou: 0.2637 d3.loss_cls: 0.3113 d3.loss_bbox: 0.1442 d3.loss_iou: 0.2617 d4.loss_cls: 0.3074 d4.loss_bbox: 0.1439 d4.loss_iou: 0.2621 enc_loss_cls: 0.3606 enc_loss_bbox: 0.1716 enc_loss_iou: 0.2989 dn_loss_cls: 0.0860 dn_loss_bbox: 0.1663 dn_loss_iou: 0.2172 d0.dn_loss_cls: 0.1683 d0.dn_loss_bbox: 0.3167 d0.dn_loss_iou: 0.3657 d1.dn_loss_cls: 0.1153 d1.dn_loss_bbox: 0.2017 d1.dn_loss_iou: 0.2508 d2.dn_loss_cls: 0.1003 d2.dn_loss_bbox: 0.1722 d2.dn_loss_iou: 0.2249 d3.dn_loss_cls: 0.0905 d3.dn_loss_bbox: 0.1669 d3.dn_loss_iou: 0.2189 d4.dn_loss_cls: 0.0868 d4.dn_loss_bbox: 0.1663 d4.dn_loss_iou: 0.2172 d1.loss_lmm_region: 0.1127 loss_lmm_image: 0.7688 2024/11/03 12:25:39 - mmengine - INFO - Iter(train) [ 84100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:08:31 time: 0.9819 data_time: 0.0183 memory: 21060 grad_norm: 21.3644 loss: 9.4528 loss_cls: 0.2880 loss_bbox: 0.1357 loss_iou: 0.2715 d0.loss_cls: 0.3264 d0.loss_bbox: 0.1448 d0.loss_iou: 0.2876 d1.loss_cls: 0.3078 d1.loss_bbox: 0.1393 d1.loss_iou: 0.2746 d2.loss_cls: 0.2986 d2.loss_bbox: 0.1366 d2.loss_iou: 0.2733 d3.loss_cls: 0.2981 d3.loss_bbox: 0.1364 d3.loss_iou: 0.2705 d4.loss_cls: 0.2929 d4.loss_bbox: 0.1348 d4.loss_iou: 0.2703 enc_loss_cls: 0.3401 enc_loss_bbox: 0.1647 enc_loss_iou: 0.3108 dn_loss_cls: 0.0784 dn_loss_bbox: 0.1586 dn_loss_iou: 0.2338 d0.dn_loss_cls: 0.1699 d0.dn_loss_bbox: 0.3104 d0.dn_loss_iou: 0.3893 d1.dn_loss_cls: 0.1139 d1.dn_loss_bbox: 0.1867 d1.dn_loss_iou: 0.2670 d2.dn_loss_cls: 0.0949 d2.dn_loss_bbox: 0.1658 d2.dn_loss_iou: 0.2433 d3.dn_loss_cls: 0.0843 d3.dn_loss_bbox: 0.1593 d3.dn_loss_iou: 0.2355 d4.dn_loss_cls: 0.0791 d4.dn_loss_bbox: 0.1587 d4.dn_loss_iou: 0.2338 d1.loss_lmm_region: 0.1257 loss_lmm_image: 0.8615 2024/11/03 12:27:16 - mmengine - INFO - Iter(train) [ 84200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:06:50 time: 0.9777 data_time: 0.0183 memory: 21672 grad_norm: 23.2148 loss: 9.4087 loss_cls: 0.2933 loss_bbox: 0.1503 loss_iou: 0.2254 d0.loss_cls: 0.3166 d0.loss_bbox: 0.1553 d0.loss_iou: 0.2373 d1.loss_cls: 0.3092 d1.loss_bbox: 0.1496 d1.loss_iou: 0.2272 d2.loss_cls: 0.3056 d2.loss_bbox: 0.1424 d2.loss_iou: 0.2246 d3.loss_cls: 0.3019 d3.loss_bbox: 0.1463 d3.loss_iou: 0.2259 d4.loss_cls: 0.2929 d4.loss_bbox: 0.1507 d4.loss_iou: 0.2265 enc_loss_cls: 0.3410 enc_loss_bbox: 0.1712 enc_loss_iou: 0.2608 dn_loss_cls: 0.1093 dn_loss_bbox: 0.1842 dn_loss_iou: 0.2189 d0.dn_loss_cls: 0.1980 d0.dn_loss_bbox: 0.3562 d0.dn_loss_iou: 0.3874 d1.dn_loss_cls: 0.1387 d1.dn_loss_bbox: 0.2193 d1.dn_loss_iou: 0.2569 d2.dn_loss_cls: 0.1210 d2.dn_loss_bbox: 0.1900 d2.dn_loss_iou: 0.2285 d3.dn_loss_cls: 0.1138 d3.dn_loss_bbox: 0.1845 d3.dn_loss_iou: 0.2203 d4.dn_loss_cls: 0.1093 d4.dn_loss_bbox: 0.1841 d4.dn_loss_iou: 0.2187 d1.loss_lmm_region: 0.1370 loss_lmm_image: 0.7783 2024/11/03 12:28:54 - mmengine - INFO - Iter(train) [ 84300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:05:10 time: 0.9696 data_time: 0.0183 memory: 20527 grad_norm: 20.4207 loss: 9.0028 loss_cls: 0.2863 loss_bbox: 0.1296 loss_iou: 0.2501 d0.loss_cls: 0.3105 d0.loss_bbox: 0.1467 d0.loss_iou: 0.2719 d1.loss_cls: 0.3015 d1.loss_bbox: 0.1345 d1.loss_iou: 0.2586 d2.loss_cls: 0.2926 d2.loss_bbox: 0.1319 d2.loss_iou: 0.2524 d3.loss_cls: 0.2898 d3.loss_bbox: 0.1290 d3.loss_iou: 0.2497 d4.loss_cls: 0.2848 d4.loss_bbox: 0.1293 d4.loss_iou: 0.2497 enc_loss_cls: 0.3288 enc_loss_bbox: 0.1593 enc_loss_iou: 0.2923 dn_loss_cls: 0.0704 dn_loss_bbox: 0.1703 dn_loss_iou: 0.2153 d0.dn_loss_cls: 0.1541 d0.dn_loss_bbox: 0.3172 d0.dn_loss_iou: 0.3590 d1.dn_loss_cls: 0.0990 d1.dn_loss_bbox: 0.2005 d1.dn_loss_iou: 0.2454 d2.dn_loss_cls: 0.0848 d2.dn_loss_bbox: 0.1757 d2.dn_loss_iou: 0.2227 d3.dn_loss_cls: 0.0748 d3.dn_loss_bbox: 0.1710 d3.dn_loss_iou: 0.2167 d4.dn_loss_cls: 0.0713 d4.dn_loss_bbox: 0.1704 d4.dn_loss_iou: 0.2153 d1.loss_lmm_region: 0.1339 loss_lmm_image: 0.7555 2024/11/03 12:30:32 - mmengine - INFO - Iter(train) [ 84400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:03:30 time: 0.9802 data_time: 0.0183 memory: 21001 grad_norm: 22.4250 loss: 9.4292 loss_cls: 0.2994 loss_bbox: 0.1371 loss_iou: 0.2481 d0.loss_cls: 0.3269 d0.loss_bbox: 0.1521 d0.loss_iou: 0.2671 d1.loss_cls: 0.3079 d1.loss_bbox: 0.1471 d1.loss_iou: 0.2571 d2.loss_cls: 0.3033 d2.loss_bbox: 0.1403 d2.loss_iou: 0.2519 d3.loss_cls: 0.3019 d3.loss_bbox: 0.1356 d3.loss_iou: 0.2489 d4.loss_cls: 0.2992 d4.loss_bbox: 0.1371 d4.loss_iou: 0.2485 enc_loss_cls: 0.3403 enc_loss_bbox: 0.1701 enc_loss_iou: 0.2937 dn_loss_cls: 0.0889 dn_loss_bbox: 0.1691 dn_loss_iou: 0.2205 d0.dn_loss_cls: 0.1832 d0.dn_loss_bbox: 0.3360 d0.dn_loss_iou: 0.3778 d1.dn_loss_cls: 0.1222 d1.dn_loss_bbox: 0.2084 d1.dn_loss_iou: 0.2552 d2.dn_loss_cls: 0.1045 d2.dn_loss_bbox: 0.1779 d2.dn_loss_iou: 0.2292 d3.dn_loss_cls: 0.0936 d3.dn_loss_bbox: 0.1705 d3.dn_loss_iou: 0.2220 d4.dn_loss_cls: 0.0897 d4.dn_loss_bbox: 0.1691 d4.dn_loss_iou: 0.2205 d1.loss_lmm_region: 0.1479 loss_lmm_image: 0.8295 2024/11/03 12:32:09 - mmengine - INFO - Iter(train) [ 84500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:01:50 time: 0.9680 data_time: 0.0184 memory: 20755 grad_norm: 21.9621 loss: 9.7308 loss_cls: 0.2897 loss_bbox: 0.1434 loss_iou: 0.2614 d0.loss_cls: 0.3239 d0.loss_bbox: 0.1560 d0.loss_iou: 0.2785 d1.loss_cls: 0.3078 d1.loss_bbox: 0.1464 d1.loss_iou: 0.2693 d2.loss_cls: 0.3013 d2.loss_bbox: 0.1432 d2.loss_iou: 0.2641 d3.loss_cls: 0.2967 d3.loss_bbox: 0.1429 d3.loss_iou: 0.2623 d4.loss_cls: 0.2907 d4.loss_bbox: 0.1423 d4.loss_iou: 0.2613 enc_loss_cls: 0.3428 enc_loss_bbox: 0.1687 enc_loss_iou: 0.3004 dn_loss_cls: 0.1041 dn_loss_bbox: 0.1830 dn_loss_iou: 0.2378 d0.dn_loss_cls: 0.1899 d0.dn_loss_bbox: 0.3530 d0.dn_loss_iou: 0.3992 d1.dn_loss_cls: 0.1358 d1.dn_loss_bbox: 0.2158 d1.dn_loss_iou: 0.2740 d2.dn_loss_cls: 0.1218 d2.dn_loss_bbox: 0.1917 d2.dn_loss_iou: 0.2478 d3.dn_loss_cls: 0.1100 d3.dn_loss_bbox: 0.1846 d3.dn_loss_iou: 0.2391 d4.dn_loss_cls: 0.1051 d4.dn_loss_bbox: 0.1831 d4.dn_loss_iou: 0.2379 d1.loss_lmm_region: 0.1413 loss_lmm_image: 0.7827 2024/11/03 12:33:48 - mmengine - INFO - Iter(train) [ 84600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:00:10 time: 0.9814 data_time: 0.0182 memory: 21066 grad_norm: 20.9051 loss: 11.5801 loss_cls: 0.3564 loss_bbox: 0.2067 loss_iou: 0.3378 d0.loss_cls: 0.3957 d0.loss_bbox: 0.2192 d0.loss_iou: 0.3503 d1.loss_cls: 0.3787 d1.loss_bbox: 0.2068 d1.loss_iou: 0.3357 d2.loss_cls: 0.3691 d2.loss_bbox: 0.2054 d2.loss_iou: 0.3339 d3.loss_cls: 0.3616 d3.loss_bbox: 0.2072 d3.loss_iou: 0.3366 d4.loss_cls: 0.3563 d4.loss_bbox: 0.2094 d4.loss_iou: 0.3371 enc_loss_cls: 0.4168 enc_loss_bbox: 0.2327 enc_loss_iou: 0.3714 dn_loss_cls: 0.1099 dn_loss_bbox: 0.2142 dn_loss_iou: 0.2601 d0.dn_loss_cls: 0.2036 d0.dn_loss_bbox: 0.3751 d0.dn_loss_iou: 0.4210 d1.dn_loss_cls: 0.1448 d1.dn_loss_bbox: 0.2470 d1.dn_loss_iou: 0.2950 d2.dn_loss_cls: 0.1250 d2.dn_loss_bbox: 0.2196 d2.dn_loss_iou: 0.2682 d3.dn_loss_cls: 0.1170 d3.dn_loss_bbox: 0.2146 d3.dn_loss_iou: 0.2607 d4.dn_loss_cls: 0.1107 d4.dn_loss_bbox: 0.2141 d4.dn_loss_iou: 0.2600 d1.loss_lmm_region: 0.1761 loss_lmm_image: 0.8189 2024/11/03 12:35:25 - mmengine - INFO - Iter(train) [ 84700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:58:30 time: 0.9821 data_time: 0.0183 memory: 21226 grad_norm: 20.1456 loss: 10.0372 loss_cls: 0.3343 loss_bbox: 0.1504 loss_iou: 0.2563 d0.loss_cls: 0.3666 d0.loss_bbox: 0.1671 d0.loss_iou: 0.2698 d1.loss_cls: 0.3511 d1.loss_bbox: 0.1570 d1.loss_iou: 0.2639 d2.loss_cls: 0.3474 d2.loss_bbox: 0.1490 d2.loss_iou: 0.2558 d3.loss_cls: 0.3380 d3.loss_bbox: 0.1512 d3.loss_iou: 0.2564 d4.loss_cls: 0.3348 d4.loss_bbox: 0.1501 d4.loss_iou: 0.2558 enc_loss_cls: 0.3824 enc_loss_bbox: 0.1792 enc_loss_iou: 0.2952 dn_loss_cls: 0.1038 dn_loss_bbox: 0.1899 dn_loss_iou: 0.2306 d0.dn_loss_cls: 0.1961 d0.dn_loss_bbox: 0.3531 d0.dn_loss_iou: 0.3876 d1.dn_loss_cls: 0.1378 d1.dn_loss_bbox: 0.2226 d1.dn_loss_iou: 0.2628 d2.dn_loss_cls: 0.1192 d2.dn_loss_bbox: 0.1985 d2.dn_loss_iou: 0.2396 d3.dn_loss_cls: 0.1097 d3.dn_loss_bbox: 0.1915 d3.dn_loss_iou: 0.2322 d4.dn_loss_cls: 0.1053 d4.dn_loss_bbox: 0.1899 d4.dn_loss_iou: 0.2306 d1.loss_lmm_region: 0.1482 loss_lmm_image: 0.7761 2024/11/03 12:37:03 - mmengine - INFO - Iter(train) [ 84800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:56:49 time: 0.9730 data_time: 0.0183 memory: 21467 grad_norm: 21.9214 loss: 9.7825 loss_cls: 0.3009 loss_bbox: 0.1506 loss_iou: 0.3225 d0.loss_cls: 0.3328 d0.loss_bbox: 0.1635 d0.loss_iou: 0.3423 d1.loss_cls: 0.3191 d1.loss_bbox: 0.1502 d1.loss_iou: 0.3240 d2.loss_cls: 0.3107 d2.loss_bbox: 0.1500 d2.loss_iou: 0.3218 d3.loss_cls: 0.3070 d3.loss_bbox: 0.1492 d3.loss_iou: 0.3234 d4.loss_cls: 0.3029 d4.loss_bbox: 0.1496 d4.loss_iou: 0.3226 enc_loss_cls: 0.3633 enc_loss_bbox: 0.1695 enc_loss_iou: 0.3571 dn_loss_cls: 0.0777 dn_loss_bbox: 0.1405 dn_loss_iou: 0.2249 d0.dn_loss_cls: 0.1563 d0.dn_loss_bbox: 0.2976 d0.dn_loss_iou: 0.3775 d1.dn_loss_cls: 0.1045 d1.dn_loss_bbox: 0.1728 d1.dn_loss_iou: 0.2607 d2.dn_loss_cls: 0.0873 d2.dn_loss_bbox: 0.1472 d2.dn_loss_iou: 0.2326 d3.dn_loss_cls: 0.0805 d3.dn_loss_bbox: 0.1418 d3.dn_loss_iou: 0.2260 d4.dn_loss_cls: 0.0789 d4.dn_loss_bbox: 0.1405 d4.dn_loss_iou: 0.2248 d1.loss_lmm_region: 0.1437 loss_lmm_image: 0.8336 2024/11/03 12:38:39 - mmengine - INFO - Iter(train) [ 84900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:55:08 time: 0.9621 data_time: 0.0185 memory: 20268 grad_norm: 23.6614 loss: 8.6836 loss_cls: 0.2366 loss_bbox: 0.1487 loss_iou: 0.2240 d0.loss_cls: 0.2773 d0.loss_bbox: 0.1619 d0.loss_iou: 0.2434 d1.loss_cls: 0.2588 d1.loss_bbox: 0.1522 d1.loss_iou: 0.2296 d2.loss_cls: 0.2478 d2.loss_bbox: 0.1495 d2.loss_iou: 0.2266 d3.loss_cls: 0.2418 d3.loss_bbox: 0.1478 d3.loss_iou: 0.2246 d4.loss_cls: 0.2383 d4.loss_bbox: 0.1467 d4.loss_iou: 0.2239 enc_loss_cls: 0.2945 enc_loss_bbox: 0.1756 enc_loss_iou: 0.2651 dn_loss_cls: 0.0725 dn_loss_bbox: 0.1717 dn_loss_iou: 0.2039 d0.dn_loss_cls: 0.1575 d0.dn_loss_bbox: 0.3388 d0.dn_loss_iou: 0.3660 d1.dn_loss_cls: 0.0990 d1.dn_loss_bbox: 0.2100 d1.dn_loss_iou: 0.2418 d2.dn_loss_cls: 0.0839 d2.dn_loss_bbox: 0.1813 d2.dn_loss_iou: 0.2135 d3.dn_loss_cls: 0.0764 d3.dn_loss_bbox: 0.1738 d3.dn_loss_iou: 0.2058 d4.dn_loss_cls: 0.0728 d4.dn_loss_bbox: 0.1717 d4.dn_loss_iou: 0.2040 d1.loss_lmm_region: 0.1381 loss_lmm_image: 0.7868 2024/11/03 12:40:17 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 12:40:17 - mmengine - INFO - Iter(train) [ 85000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:53:28 time: 0.9842 data_time: 0.0183 memory: 20657 grad_norm: 22.0125 loss: 8.8659 loss_cls: 0.2807 loss_bbox: 0.1195 loss_iou: 0.2339 d0.loss_cls: 0.3126 d0.loss_bbox: 0.1328 d0.loss_iou: 0.2560 d1.loss_cls: 0.2930 d1.loss_bbox: 0.1261 d1.loss_iou: 0.2407 d2.loss_cls: 0.2888 d2.loss_bbox: 0.1229 d2.loss_iou: 0.2369 d3.loss_cls: 0.2831 d3.loss_bbox: 0.1204 d3.loss_iou: 0.2350 d4.loss_cls: 0.2821 d4.loss_bbox: 0.1195 d4.loss_iou: 0.2334 enc_loss_cls: 0.3322 enc_loss_bbox: 0.1478 enc_loss_iou: 0.2773 dn_loss_cls: 0.0816 dn_loss_bbox: 0.1494 dn_loss_iou: 0.2112 d0.dn_loss_cls: 0.1616 d0.dn_loss_bbox: 0.3143 d0.dn_loss_iou: 0.3721 d1.dn_loss_cls: 0.1087 d1.dn_loss_bbox: 0.1842 d1.dn_loss_iou: 0.2492 d2.dn_loss_cls: 0.0957 d2.dn_loss_bbox: 0.1606 d2.dn_loss_iou: 0.2217 d3.dn_loss_cls: 0.0877 d3.dn_loss_bbox: 0.1508 d3.dn_loss_iou: 0.2133 d4.dn_loss_cls: 0.0825 d4.dn_loss_bbox: 0.1494 d4.dn_loss_iou: 0.2114 d1.loss_lmm_region: 0.1292 loss_lmm_image: 0.8566 2024/11/03 12:41:55 - mmengine - INFO - Iter(train) [ 85100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:51:48 time: 0.9766 data_time: 0.0184 memory: 21617 grad_norm: 23.6778 loss: 8.8676 loss_cls: 0.2835 loss_bbox: 0.1221 loss_iou: 0.2537 d0.loss_cls: 0.3200 d0.loss_bbox: 0.1367 d0.loss_iou: 0.2744 d1.loss_cls: 0.3057 d1.loss_bbox: 0.1282 d1.loss_iou: 0.2612 d2.loss_cls: 0.2958 d2.loss_bbox: 0.1225 d2.loss_iou: 0.2561 d3.loss_cls: 0.2906 d3.loss_bbox: 0.1216 d3.loss_iou: 0.2540 d4.loss_cls: 0.2846 d4.loss_bbox: 0.1219 d4.loss_iou: 0.2539 enc_loss_cls: 0.3404 enc_loss_bbox: 0.1463 enc_loss_iou: 0.2966 dn_loss_cls: 0.0673 dn_loss_bbox: 0.1484 dn_loss_iou: 0.2147 d0.dn_loss_cls: 0.1533 d0.dn_loss_bbox: 0.2886 d0.dn_loss_iou: 0.3580 d1.dn_loss_cls: 0.1032 d1.dn_loss_bbox: 0.1801 d1.dn_loss_iou: 0.2485 d2.dn_loss_cls: 0.0842 d2.dn_loss_bbox: 0.1564 d2.dn_loss_iou: 0.2236 d3.dn_loss_cls: 0.0712 d3.dn_loss_bbox: 0.1496 d3.dn_loss_iou: 0.2161 d4.dn_loss_cls: 0.0680 d4.dn_loss_bbox: 0.1483 d4.dn_loss_iou: 0.2146 d1.loss_lmm_region: 0.1435 loss_lmm_image: 0.7600 2024/11/03 12:43:33 - mmengine - INFO - Iter(train) [ 85200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:50:08 time: 0.9629 data_time: 0.0185 memory: 21148 grad_norm: 22.0824 loss: 9.9200 loss_cls: 0.3004 loss_bbox: 0.1726 loss_iou: 0.3001 d0.loss_cls: 0.3324 d0.loss_bbox: 0.1813 d0.loss_iou: 0.3164 d1.loss_cls: 0.3135 d1.loss_bbox: 0.1717 d1.loss_iou: 0.3074 d2.loss_cls: 0.3096 d2.loss_bbox: 0.1696 d2.loss_iou: 0.3017 d3.loss_cls: 0.3044 d3.loss_bbox: 0.1714 d3.loss_iou: 0.2994 d4.loss_cls: 0.3013 d4.loss_bbox: 0.1726 d4.loss_iou: 0.3003 enc_loss_cls: 0.3468 enc_loss_bbox: 0.1900 enc_loss_iou: 0.3339 dn_loss_cls: 0.0647 dn_loss_bbox: 0.1663 dn_loss_iou: 0.2385 d0.dn_loss_cls: 0.1625 d0.dn_loss_bbox: 0.3209 d0.dn_loss_iou: 0.3933 d1.dn_loss_cls: 0.1002 d1.dn_loss_bbox: 0.1963 d1.dn_loss_iou: 0.2703 d2.dn_loss_cls: 0.0828 d2.dn_loss_bbox: 0.1750 d2.dn_loss_iou: 0.2473 d3.dn_loss_cls: 0.0731 d3.dn_loss_bbox: 0.1676 d3.dn_loss_iou: 0.2397 d4.dn_loss_cls: 0.0664 d4.dn_loss_bbox: 0.1662 d4.dn_loss_iou: 0.2384 d1.loss_lmm_region: 0.1450 loss_lmm_image: 0.8088 2024/11/03 12:45:10 - mmengine - INFO - Iter(train) [ 85300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:48:27 time: 0.9662 data_time: 0.0183 memory: 20897 grad_norm: 21.1567 loss: 8.6866 loss_cls: 0.2776 loss_bbox: 0.1290 loss_iou: 0.2351 d0.loss_cls: 0.3088 d0.loss_bbox: 0.1413 d0.loss_iou: 0.2508 d1.loss_cls: 0.2948 d1.loss_bbox: 0.1322 d1.loss_iou: 0.2410 d2.loss_cls: 0.2912 d2.loss_bbox: 0.1282 d2.loss_iou: 0.2343 d3.loss_cls: 0.2833 d3.loss_bbox: 0.1292 d3.loss_iou: 0.2354 d4.loss_cls: 0.2816 d4.loss_bbox: 0.1271 d4.loss_iou: 0.2341 enc_loss_cls: 0.3317 enc_loss_bbox: 0.1528 enc_loss_iou: 0.2702 dn_loss_cls: 0.0734 dn_loss_bbox: 0.1558 dn_loss_iou: 0.1946 d0.dn_loss_cls: 0.1559 d0.dn_loss_bbox: 0.2920 d0.dn_loss_iou: 0.3332 d1.dn_loss_cls: 0.0995 d1.dn_loss_bbox: 0.1839 d1.dn_loss_iou: 0.2244 d2.dn_loss_cls: 0.0844 d2.dn_loss_bbox: 0.1649 d2.dn_loss_iou: 0.2037 d3.dn_loss_cls: 0.0755 d3.dn_loss_bbox: 0.1575 d3.dn_loss_iou: 0.1961 d4.dn_loss_cls: 0.0735 d4.dn_loss_bbox: 0.1561 d4.dn_loss_iou: 0.1945 d1.loss_lmm_region: 0.1288 loss_lmm_image: 0.8291 2024/11/03 12:46:46 - mmengine - INFO - Iter(train) [ 85400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:46:46 time: 0.9523 data_time: 0.0184 memory: 21504 grad_norm: 23.0175 loss: 8.3484 loss_cls: 0.2332 loss_bbox: 0.1147 loss_iou: 0.1994 d0.loss_cls: 0.2519 d0.loss_bbox: 0.1308 d0.loss_iou: 0.2177 d1.loss_cls: 0.2381 d1.loss_bbox: 0.1208 d1.loss_iou: 0.2112 d2.loss_cls: 0.2380 d2.loss_bbox: 0.1143 d2.loss_iou: 0.2031 d3.loss_cls: 0.2353 d3.loss_bbox: 0.1168 d3.loss_iou: 0.2025 d4.loss_cls: 0.2345 d4.loss_bbox: 0.1148 d4.loss_iou: 0.1994 enc_loss_cls: 0.2655 enc_loss_bbox: 0.1432 enc_loss_iou: 0.2345 dn_loss_cls: 0.0782 dn_loss_bbox: 0.1798 dn_loss_iou: 0.2139 d0.dn_loss_cls: 0.1629 d0.dn_loss_bbox: 0.3321 d0.dn_loss_iou: 0.3590 d1.dn_loss_cls: 0.1055 d1.dn_loss_bbox: 0.2121 d1.dn_loss_iou: 0.2440 d2.dn_loss_cls: 0.0913 d2.dn_loss_bbox: 0.1889 d2.dn_loss_iou: 0.2213 d3.dn_loss_cls: 0.0821 d3.dn_loss_bbox: 0.1808 d3.dn_loss_iou: 0.2152 d4.dn_loss_cls: 0.0786 d4.dn_loss_bbox: 0.1798 d4.dn_loss_iou: 0.2138 d1.loss_lmm_region: 0.1299 loss_lmm_image: 0.8596 2024/11/03 12:48:24 - mmengine - INFO - Iter(train) [ 85500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:45:06 time: 0.9798 data_time: 0.0183 memory: 21192 grad_norm: 29.9959 loss: 10.2043 loss_cls: 0.3604 loss_bbox: 0.1439 loss_iou: 0.2898 d0.loss_cls: 0.4020 d0.loss_bbox: 0.1638 d0.loss_iou: 0.3191 d1.loss_cls: 0.3837 d1.loss_bbox: 0.1474 d1.loss_iou: 0.2970 d2.loss_cls: 0.3693 d2.loss_bbox: 0.1478 d2.loss_iou: 0.2944 d3.loss_cls: 0.3642 d3.loss_bbox: 0.1439 d3.loss_iou: 0.2904 d4.loss_cls: 0.3584 d4.loss_bbox: 0.1433 d4.loss_iou: 0.2888 enc_loss_cls: 0.4225 enc_loss_bbox: 0.1744 enc_loss_iou: 0.3381 dn_loss_cls: 0.0958 dn_loss_bbox: 0.1571 dn_loss_iou: 0.2234 d0.dn_loss_cls: 0.1813 d0.dn_loss_bbox: 0.3108 d0.dn_loss_iou: 0.3780 d1.dn_loss_cls: 0.1277 d1.dn_loss_bbox: 0.1882 d1.dn_loss_iou: 0.2565 d2.dn_loss_cls: 0.1118 d2.dn_loss_bbox: 0.1682 d2.dn_loss_iou: 0.2333 d3.dn_loss_cls: 0.1005 d3.dn_loss_bbox: 0.1593 d3.dn_loss_iou: 0.2245 d4.dn_loss_cls: 0.0976 d4.dn_loss_bbox: 0.1571 d4.dn_loss_iou: 0.2232 d1.loss_lmm_region: 0.1425 loss_lmm_image: 0.8253 2024/11/03 12:50:01 - mmengine - INFO - Iter(train) [ 85600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:43:26 time: 0.9636 data_time: 0.0184 memory: 20676 grad_norm: 19.8893 loss: 9.7839 loss_cls: 0.3151 loss_bbox: 0.1583 loss_iou: 0.2660 d0.loss_cls: 0.3543 d0.loss_bbox: 0.1682 d0.loss_iou: 0.2761 d1.loss_cls: 0.3309 d1.loss_bbox: 0.1615 d1.loss_iou: 0.2700 d2.loss_cls: 0.3205 d2.loss_bbox: 0.1608 d2.loss_iou: 0.2661 d3.loss_cls: 0.3152 d3.loss_bbox: 0.1592 d3.loss_iou: 0.2675 d4.loss_cls: 0.3230 d4.loss_bbox: 0.1538 d4.loss_iou: 0.2629 enc_loss_cls: 0.3651 enc_loss_bbox: 0.1892 enc_loss_iou: 0.3023 dn_loss_cls: 0.0903 dn_loss_bbox: 0.1753 dn_loss_iou: 0.2220 d0.dn_loss_cls: 0.1883 d0.dn_loss_bbox: 0.3395 d0.dn_loss_iou: 0.3660 d1.dn_loss_cls: 0.1233 d1.dn_loss_bbox: 0.2120 d1.dn_loss_iou: 0.2540 d2.dn_loss_cls: 0.1066 d2.dn_loss_bbox: 0.1833 d2.dn_loss_iou: 0.2298 d3.dn_loss_cls: 0.0956 d3.dn_loss_bbox: 0.1768 d3.dn_loss_iou: 0.2235 d4.dn_loss_cls: 0.0911 d4.dn_loss_bbox: 0.1753 d4.dn_loss_iou: 0.2220 d1.loss_lmm_region: 0.1569 loss_lmm_image: 0.7662 2024/11/03 12:51:39 - mmengine - INFO - Iter(train) [ 85700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:41:45 time: 0.9629 data_time: 0.0183 memory: 21351 grad_norm: 21.4013 loss: 9.5456 loss_cls: 0.2874 loss_bbox: 0.1522 loss_iou: 0.2641 d0.loss_cls: 0.3254 d0.loss_bbox: 0.1645 d0.loss_iou: 0.2802 d1.loss_cls: 0.3096 d1.loss_bbox: 0.1531 d1.loss_iou: 0.2634 d2.loss_cls: 0.3041 d2.loss_bbox: 0.1480 d2.loss_iou: 0.2596 d3.loss_cls: 0.2939 d3.loss_bbox: 0.1494 d3.loss_iou: 0.2618 d4.loss_cls: 0.2870 d4.loss_bbox: 0.1515 d4.loss_iou: 0.2637 enc_loss_cls: 0.3485 enc_loss_bbox: 0.1734 enc_loss_iou: 0.2992 dn_loss_cls: 0.0771 dn_loss_bbox: 0.1967 dn_loss_iou: 0.2272 d0.dn_loss_cls: 0.1666 d0.dn_loss_bbox: 0.3515 d0.dn_loss_iou: 0.3783 d1.dn_loss_cls: 0.1130 d1.dn_loss_bbox: 0.2251 d1.dn_loss_iou: 0.2570 d2.dn_loss_cls: 0.0971 d2.dn_loss_bbox: 0.2051 d2.dn_loss_iou: 0.2353 d3.dn_loss_cls: 0.0826 d3.dn_loss_bbox: 0.1977 d3.dn_loss_iou: 0.2281 d4.dn_loss_cls: 0.0783 d4.dn_loss_bbox: 0.1967 d4.dn_loss_iou: 0.2270 d1.loss_lmm_region: 0.1413 loss_lmm_image: 0.7240 2024/11/03 12:53:16 - mmengine - INFO - Iter(train) [ 85800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:40:05 time: 0.9728 data_time: 0.0183 memory: 20669 grad_norm: 22.4859 loss: 10.2541 loss_cls: 0.3200 loss_bbox: 0.1703 loss_iou: 0.2836 d0.loss_cls: 0.3623 d0.loss_bbox: 0.1759 d0.loss_iou: 0.2914 d1.loss_cls: 0.3447 d1.loss_bbox: 0.1705 d1.loss_iou: 0.2810 d2.loss_cls: 0.3313 d2.loss_bbox: 0.1683 d2.loss_iou: 0.2854 d3.loss_cls: 0.3301 d3.loss_bbox: 0.1659 d3.loss_iou: 0.2830 d4.loss_cls: 0.3221 d4.loss_bbox: 0.1697 d4.loss_iou: 0.2835 enc_loss_cls: 0.3765 enc_loss_bbox: 0.1866 enc_loss_iou: 0.3074 dn_loss_cls: 0.0880 dn_loss_bbox: 0.1942 dn_loss_iou: 0.2428 d0.dn_loss_cls: 0.1742 d0.dn_loss_bbox: 0.3648 d0.dn_loss_iou: 0.3979 d1.dn_loss_cls: 0.1208 d1.dn_loss_bbox: 0.2283 d1.dn_loss_iou: 0.2763 d2.dn_loss_cls: 0.1038 d2.dn_loss_bbox: 0.2034 d2.dn_loss_iou: 0.2509 d3.dn_loss_cls: 0.0927 d3.dn_loss_bbox: 0.1952 d3.dn_loss_iou: 0.2438 d4.dn_loss_cls: 0.0891 d4.dn_loss_bbox: 0.1941 d4.dn_loss_iou: 0.2428 d1.loss_lmm_region: 0.1337 loss_lmm_image: 0.8079 2024/11/03 12:54:53 - mmengine - INFO - Iter(train) [ 85900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:38:24 time: 0.9684 data_time: 0.0182 memory: 20544 grad_norm: 23.9737 loss: 9.7087 loss_cls: 0.2802 loss_bbox: 0.1614 loss_iou: 0.2872 d0.loss_cls: 0.3192 d0.loss_bbox: 0.1674 d0.loss_iou: 0.2942 d1.loss_cls: 0.3011 d1.loss_bbox: 0.1607 d1.loss_iou: 0.2865 d2.loss_cls: 0.2911 d2.loss_bbox: 0.1591 d2.loss_iou: 0.2815 d3.loss_cls: 0.2869 d3.loss_bbox: 0.1587 d3.loss_iou: 0.2841 d4.loss_cls: 0.2827 d4.loss_bbox: 0.1594 d4.loss_iou: 0.2867 enc_loss_cls: 0.3378 enc_loss_bbox: 0.1821 enc_loss_iou: 0.3137 dn_loss_cls: 0.0844 dn_loss_bbox: 0.1807 dn_loss_iou: 0.2262 d0.dn_loss_cls: 0.1663 d0.dn_loss_bbox: 0.3383 d0.dn_loss_iou: 0.3696 d1.dn_loss_cls: 0.1157 d1.dn_loss_bbox: 0.2140 d1.dn_loss_iou: 0.2553 d2.dn_loss_cls: 0.1005 d2.dn_loss_bbox: 0.1872 d2.dn_loss_iou: 0.2330 d3.dn_loss_cls: 0.0890 d3.dn_loss_bbox: 0.1818 d3.dn_loss_iou: 0.2271 d4.dn_loss_cls: 0.0854 d4.dn_loss_bbox: 0.1807 d4.dn_loss_iou: 0.2263 d1.loss_lmm_region: 0.1263 loss_lmm_image: 0.8389 2024/11/03 12:56:30 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 12:56:30 - mmengine - INFO - Iter(train) [ 86000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:36:44 time: 0.9802 data_time: 0.0184 memory: 20650 grad_norm: 26.2132 loss: 8.9783 loss_cls: 0.2803 loss_bbox: 0.1288 loss_iou: 0.2367 d0.loss_cls: 0.3131 d0.loss_bbox: 0.1374 d0.loss_iou: 0.2527 d1.loss_cls: 0.3017 d1.loss_bbox: 0.1292 d1.loss_iou: 0.2388 d2.loss_cls: 0.2902 d2.loss_bbox: 0.1270 d2.loss_iou: 0.2368 d3.loss_cls: 0.2872 d3.loss_bbox: 0.1273 d3.loss_iou: 0.2353 d4.loss_cls: 0.2819 d4.loss_bbox: 0.1280 d4.loss_iou: 0.2368 enc_loss_cls: 0.3257 enc_loss_bbox: 0.1478 enc_loss_iou: 0.2726 dn_loss_cls: 0.0869 dn_loss_bbox: 0.1585 dn_loss_iou: 0.2177 d0.dn_loss_cls: 0.1694 d0.dn_loss_bbox: 0.3165 d0.dn_loss_iou: 0.3693 d1.dn_loss_cls: 0.1150 d1.dn_loss_bbox: 0.1908 d1.dn_loss_iou: 0.2504 d2.dn_loss_cls: 0.0972 d2.dn_loss_bbox: 0.1680 d2.dn_loss_iou: 0.2265 d3.dn_loss_cls: 0.0909 d3.dn_loss_bbox: 0.1599 d3.dn_loss_iou: 0.2187 d4.dn_loss_cls: 0.0879 d4.dn_loss_bbox: 0.1587 d4.dn_loss_iou: 0.2176 d1.loss_lmm_region: 0.1532 loss_lmm_image: 0.8105 2024/11/03 12:58:09 - mmengine - INFO - Iter(train) [ 86100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:35:04 time: 0.9749 data_time: 0.0184 memory: 21347 grad_norm: 22.4746 loss: 8.0514 loss_cls: 0.2215 loss_bbox: 0.1341 loss_iou: 0.2091 d0.loss_cls: 0.2486 d0.loss_bbox: 0.1421 d0.loss_iou: 0.2173 d1.loss_cls: 0.2358 d1.loss_bbox: 0.1328 d1.loss_iou: 0.2115 d2.loss_cls: 0.2297 d2.loss_bbox: 0.1325 d2.loss_iou: 0.2084 d3.loss_cls: 0.2276 d3.loss_bbox: 0.1335 d3.loss_iou: 0.2076 d4.loss_cls: 0.2223 d4.loss_bbox: 0.1341 d4.loss_iou: 0.2091 enc_loss_cls: 0.2633 enc_loss_bbox: 0.1573 enc_loss_iou: 0.2404 dn_loss_cls: 0.0694 dn_loss_bbox: 0.1555 dn_loss_iou: 0.1998 d0.dn_loss_cls: 0.1445 d0.dn_loss_bbox: 0.2958 d0.dn_loss_iou: 0.3405 d1.dn_loss_cls: 0.0964 d1.dn_loss_bbox: 0.1860 d1.dn_loss_iou: 0.2320 d2.dn_loss_cls: 0.0806 d2.dn_loss_bbox: 0.1615 d2.dn_loss_iou: 0.2081 d3.dn_loss_cls: 0.0728 d3.dn_loss_bbox: 0.1567 d3.dn_loss_iou: 0.2013 d4.dn_loss_cls: 0.0695 d4.dn_loss_bbox: 0.1555 d4.dn_loss_iou: 0.1999 d1.loss_lmm_region: 0.1229 loss_lmm_image: 0.7842 2024/11/03 12:59:47 - mmengine - INFO - Iter(train) [ 86200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:33:25 time: 0.9865 data_time: 0.0184 memory: 21067 grad_norm: 22.8916 loss: 10.1742 loss_cls: 0.2980 loss_bbox: 0.1682 loss_iou: 0.2804 d0.loss_cls: 0.3381 d0.loss_bbox: 0.1742 d0.loss_iou: 0.2910 d1.loss_cls: 0.3201 d1.loss_bbox: 0.1685 d1.loss_iou: 0.2841 d2.loss_cls: 0.3088 d2.loss_bbox: 0.1663 d2.loss_iou: 0.2791 d3.loss_cls: 0.3047 d3.loss_bbox: 0.1644 d3.loss_iou: 0.2778 d4.loss_cls: 0.2964 d4.loss_bbox: 0.1678 d4.loss_iou: 0.2818 enc_loss_cls: 0.3497 enc_loss_bbox: 0.1969 enc_loss_iou: 0.3154 dn_loss_cls: 0.0791 dn_loss_bbox: 0.2050 dn_loss_iou: 0.2512 d0.dn_loss_cls: 0.1768 d0.dn_loss_bbox: 0.3734 d0.dn_loss_iou: 0.4080 d1.dn_loss_cls: 0.1190 d1.dn_loss_bbox: 0.2438 d1.dn_loss_iou: 0.2863 d2.dn_loss_cls: 0.0987 d2.dn_loss_bbox: 0.2143 d2.dn_loss_iou: 0.2608 d3.dn_loss_cls: 0.0852 d3.dn_loss_bbox: 0.2054 d3.dn_loss_iou: 0.2529 d4.dn_loss_cls: 0.0796 d4.dn_loss_bbox: 0.2049 d4.dn_loss_iou: 0.2512 d1.loss_lmm_region: 0.1379 loss_lmm_image: 0.8089 2024/11/03 13:01:25 - mmengine - INFO - Iter(train) [ 86300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:31:45 time: 0.9756 data_time: 0.0183 memory: 20940 grad_norm: 24.1917 loss: 10.1911 loss_cls: 0.3047 loss_bbox: 0.1739 loss_iou: 0.2969 d0.loss_cls: 0.3397 d0.loss_bbox: 0.1898 d0.loss_iou: 0.3210 d1.loss_cls: 0.3244 d1.loss_bbox: 0.1794 d1.loss_iou: 0.3064 d2.loss_cls: 0.3170 d2.loss_bbox: 0.1757 d2.loss_iou: 0.3009 d3.loss_cls: 0.3075 d3.loss_bbox: 0.1734 d3.loss_iou: 0.3011 d4.loss_cls: 0.3053 d4.loss_bbox: 0.1734 d4.loss_iou: 0.2970 enc_loss_cls: 0.3614 enc_loss_bbox: 0.2013 enc_loss_iou: 0.3367 dn_loss_cls: 0.0728 dn_loss_bbox: 0.1964 dn_loss_iou: 0.2374 d0.dn_loss_cls: 0.1699 d0.dn_loss_bbox: 0.3567 d0.dn_loss_iou: 0.3833 d1.dn_loss_cls: 0.1084 d1.dn_loss_bbox: 0.2287 d1.dn_loss_iou: 0.2694 d2.dn_loss_cls: 0.0884 d2.dn_loss_bbox: 0.2046 d2.dn_loss_iou: 0.2451 d3.dn_loss_cls: 0.0776 d3.dn_loss_bbox: 0.1980 d3.dn_loss_iou: 0.2389 d4.dn_loss_cls: 0.0740 d4.dn_loss_bbox: 0.1966 d4.dn_loss_iou: 0.2374 d1.loss_lmm_region: 0.1577 loss_lmm_image: 0.7629 2024/11/03 13:03:03 - mmengine - INFO - Iter(train) [ 86400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:30:05 time: 0.9735 data_time: 0.0183 memory: 20767 grad_norm: 20.0379 loss: 9.4396 loss_cls: 0.2911 loss_bbox: 0.1340 loss_iou: 0.2527 d0.loss_cls: 0.3265 d0.loss_bbox: 0.1513 d0.loss_iou: 0.2705 d1.loss_cls: 0.3106 d1.loss_bbox: 0.1391 d1.loss_iou: 0.2584 d2.loss_cls: 0.3007 d2.loss_bbox: 0.1362 d2.loss_iou: 0.2522 d3.loss_cls: 0.2990 d3.loss_bbox: 0.1338 d3.loss_iou: 0.2522 d4.loss_cls: 0.2942 d4.loss_bbox: 0.1335 d4.loss_iou: 0.2520 enc_loss_cls: 0.3441 enc_loss_bbox: 0.1651 enc_loss_iou: 0.2907 dn_loss_cls: 0.0882 dn_loss_bbox: 0.1701 dn_loss_iou: 0.2281 d0.dn_loss_cls: 0.1755 d0.dn_loss_bbox: 0.3218 d0.dn_loss_iou: 0.3843 d1.dn_loss_cls: 0.1161 d1.dn_loss_bbox: 0.2013 d1.dn_loss_iou: 0.2619 d2.dn_loss_cls: 0.1020 d2.dn_loss_bbox: 0.1759 d2.dn_loss_iou: 0.2358 d3.dn_loss_cls: 0.0937 d3.dn_loss_bbox: 0.1708 d3.dn_loss_iou: 0.2295 d4.dn_loss_cls: 0.0893 d4.dn_loss_bbox: 0.1701 d4.dn_loss_iou: 0.2280 d1.loss_lmm_region: 0.1605 loss_lmm_image: 0.8486 2024/11/03 13:04:40 - mmengine - INFO - Iter(train) [ 86500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:28:24 time: 0.9793 data_time: 0.0185 memory: 20736 grad_norm: 29.9356 loss: 10.4318 loss_cls: 0.3568 loss_bbox: 0.1586 loss_iou: 0.3244 d0.loss_cls: 0.3987 d0.loss_bbox: 0.1795 d0.loss_iou: 0.3479 d1.loss_cls: 0.3786 d1.loss_bbox: 0.1621 d1.loss_iou: 0.3316 d2.loss_cls: 0.3667 d2.loss_bbox: 0.1593 d2.loss_iou: 0.3287 d3.loss_cls: 0.3612 d3.loss_bbox: 0.1584 d3.loss_iou: 0.3281 d4.loss_cls: 0.3594 d4.loss_bbox: 0.1585 d4.loss_iou: 0.3250 enc_loss_cls: 0.4143 enc_loss_bbox: 0.1935 enc_loss_iou: 0.3688 dn_loss_cls: 0.0903 dn_loss_bbox: 0.1487 dn_loss_iou: 0.2294 d0.dn_loss_cls: 0.1726 d0.dn_loss_bbox: 0.2960 d0.dn_loss_iou: 0.3732 d1.dn_loss_cls: 0.1215 d1.dn_loss_bbox: 0.1835 d1.dn_loss_iou: 0.2624 d2.dn_loss_cls: 0.1079 d2.dn_loss_bbox: 0.1596 d2.dn_loss_iou: 0.2391 d3.dn_loss_cls: 0.0967 d3.dn_loss_bbox: 0.1501 d3.dn_loss_iou: 0.2309 d4.dn_loss_cls: 0.0915 d4.dn_loss_bbox: 0.1487 d4.dn_loss_iou: 0.2294 d1.loss_lmm_region: 0.1427 loss_lmm_image: 0.7975 2024/11/03 13:06:18 - mmengine - INFO - Iter(train) [ 86600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:26:44 time: 0.9701 data_time: 0.0184 memory: 20287 grad_norm: 23.8988 loss: 7.8579 loss_cls: 0.2399 loss_bbox: 0.1104 loss_iou: 0.1980 d0.loss_cls: 0.2666 d0.loss_bbox: 0.1258 d0.loss_iou: 0.2146 d1.loss_cls: 0.2510 d1.loss_bbox: 0.1171 d1.loss_iou: 0.2049 d2.loss_cls: 0.2499 d2.loss_bbox: 0.1123 d2.loss_iou: 0.1983 d3.loss_cls: 0.2436 d3.loss_bbox: 0.1133 d3.loss_iou: 0.1995 d4.loss_cls: 0.2394 d4.loss_bbox: 0.1124 d4.loss_iou: 0.1978 enc_loss_cls: 0.2815 enc_loss_bbox: 0.1437 enc_loss_iou: 0.2384 dn_loss_cls: 0.0759 dn_loss_bbox: 0.1356 dn_loss_iou: 0.1813 d0.dn_loss_cls: 0.1504 d0.dn_loss_bbox: 0.2993 d0.dn_loss_iou: 0.3356 d1.dn_loss_cls: 0.0994 d1.dn_loss_bbox: 0.1788 d1.dn_loss_iou: 0.2194 d2.dn_loss_cls: 0.0831 d2.dn_loss_bbox: 0.1458 d2.dn_loss_iou: 0.1904 d3.dn_loss_cls: 0.0790 d3.dn_loss_bbox: 0.1360 d3.dn_loss_iou: 0.1825 d4.dn_loss_cls: 0.0747 d4.dn_loss_bbox: 0.1356 d4.dn_loss_iou: 0.1812 d1.loss_lmm_region: 0.1216 loss_lmm_image: 0.7937 2024/11/03 13:07:55 - mmengine - INFO - Iter(train) [ 86700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:25:04 time: 0.9719 data_time: 0.0185 memory: 20745 grad_norm: 21.2699 loss: 9.6497 loss_cls: 0.2888 loss_bbox: 0.1611 loss_iou: 0.2816 d0.loss_cls: 0.3235 d0.loss_bbox: 0.1792 d0.loss_iou: 0.2990 d1.loss_cls: 0.3045 d1.loss_bbox: 0.1743 d1.loss_iou: 0.2916 d2.loss_cls: 0.2951 d2.loss_bbox: 0.1659 d2.loss_iou: 0.2867 d3.loss_cls: 0.2970 d3.loss_bbox: 0.1586 d3.loss_iou: 0.2793 d4.loss_cls: 0.2914 d4.loss_bbox: 0.1604 d4.loss_iou: 0.2805 enc_loss_cls: 0.3462 enc_loss_bbox: 0.1905 enc_loss_iou: 0.3227 dn_loss_cls: 0.0759 dn_loss_bbox: 0.1791 dn_loss_iou: 0.2176 d0.dn_loss_cls: 0.1577 d0.dn_loss_bbox: 0.3131 d0.dn_loss_iou: 0.3583 d1.dn_loss_cls: 0.1053 d1.dn_loss_bbox: 0.2062 d1.dn_loss_iou: 0.2492 d2.dn_loss_cls: 0.0923 d2.dn_loss_bbox: 0.1868 d2.dn_loss_iou: 0.2254 d3.dn_loss_cls: 0.0822 d3.dn_loss_bbox: 0.1796 d3.dn_loss_iou: 0.2187 d4.dn_loss_cls: 0.0768 d4.dn_loss_bbox: 0.1793 d4.dn_loss_iou: 0.2175 d1.loss_lmm_region: 0.1260 loss_lmm_image: 0.8245 2024/11/03 13:09:34 - mmengine - INFO - Iter(train) [ 86800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:23:25 time: 0.9774 data_time: 0.0184 memory: 21936 grad_norm: 19.7272 loss: 9.3244 loss_cls: 0.3036 loss_bbox: 0.1431 loss_iou: 0.2745 d0.loss_cls: 0.3330 d0.loss_bbox: 0.1515 d0.loss_iou: 0.2882 d1.loss_cls: 0.3104 d1.loss_bbox: 0.1478 d1.loss_iou: 0.2827 d2.loss_cls: 0.3061 d2.loss_bbox: 0.1423 d2.loss_iou: 0.2757 d3.loss_cls: 0.3068 d3.loss_bbox: 0.1417 d3.loss_iou: 0.2741 d4.loss_cls: 0.3036 d4.loss_bbox: 0.1438 d4.loss_iou: 0.2758 enc_loss_cls: 0.3423 enc_loss_bbox: 0.1650 enc_loss_iou: 0.3086 dn_loss_cls: 0.0751 dn_loss_bbox: 0.1525 dn_loss_iou: 0.2186 d0.dn_loss_cls: 0.1587 d0.dn_loss_bbox: 0.3031 d0.dn_loss_iou: 0.3689 d1.dn_loss_cls: 0.1033 d1.dn_loss_bbox: 0.1907 d1.dn_loss_iou: 0.2540 d2.dn_loss_cls: 0.0857 d2.dn_loss_bbox: 0.1626 d2.dn_loss_iou: 0.2272 d3.dn_loss_cls: 0.0770 d3.dn_loss_bbox: 0.1543 d3.dn_loss_iou: 0.2204 d4.dn_loss_cls: 0.0747 d4.dn_loss_bbox: 0.1526 d4.dn_loss_iou: 0.2188 d1.loss_lmm_region: 0.1184 loss_lmm_image: 0.7870 2024/11/03 13:11:11 - mmengine - INFO - Iter(train) [ 86900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:21:44 time: 0.9801 data_time: 0.0186 memory: 21817 grad_norm: 26.6726 loss: 9.3654 loss_cls: 0.2875 loss_bbox: 0.1420 loss_iou: 0.2707 d0.loss_cls: 0.3236 d0.loss_bbox: 0.1556 d0.loss_iou: 0.2847 d1.loss_cls: 0.3044 d1.loss_bbox: 0.1480 d1.loss_iou: 0.2790 d2.loss_cls: 0.2967 d2.loss_bbox: 0.1432 d2.loss_iou: 0.2726 d3.loss_cls: 0.2911 d3.loss_bbox: 0.1430 d3.loss_iou: 0.2734 d4.loss_cls: 0.2864 d4.loss_bbox: 0.1418 d4.loss_iou: 0.2717 enc_loss_cls: 0.3435 enc_loss_bbox: 0.1712 enc_loss_iou: 0.3099 dn_loss_cls: 0.0914 dn_loss_bbox: 0.1596 dn_loss_iou: 0.2236 d0.dn_loss_cls: 0.1666 d0.dn_loss_bbox: 0.3150 d0.dn_loss_iou: 0.3741 d1.dn_loss_cls: 0.1160 d1.dn_loss_bbox: 0.1953 d1.dn_loss_iou: 0.2543 d2.dn_loss_cls: 0.1024 d2.dn_loss_bbox: 0.1708 d2.dn_loss_iou: 0.2321 d3.dn_loss_cls: 0.0932 d3.dn_loss_bbox: 0.1611 d3.dn_loss_iou: 0.2252 d4.dn_loss_cls: 0.0935 d4.dn_loss_bbox: 0.1597 d4.dn_loss_iou: 0.2237 d1.loss_lmm_region: 0.1310 loss_lmm_image: 0.7369 2024/11/03 13:12:49 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 13:12:49 - mmengine - INFO - Iter(train) [ 87000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:20:04 time: 0.9683 data_time: 0.0186 memory: 21148 grad_norm: 19.9876 loss: 8.9321 loss_cls: 0.2775 loss_bbox: 0.1353 loss_iou: 0.2352 d0.loss_cls: 0.3101 d0.loss_bbox: 0.1489 d0.loss_iou: 0.2482 d1.loss_cls: 0.2986 d1.loss_bbox: 0.1408 d1.loss_iou: 0.2408 d2.loss_cls: 0.2903 d2.loss_bbox: 0.1363 d2.loss_iou: 0.2346 d3.loss_cls: 0.2847 d3.loss_bbox: 0.1333 d3.loss_iou: 0.2339 d4.loss_cls: 0.2785 d4.loss_bbox: 0.1348 d4.loss_iou: 0.2342 enc_loss_cls: 0.3233 enc_loss_bbox: 0.1617 enc_loss_iou: 0.2649 dn_loss_cls: 0.0783 dn_loss_bbox: 0.1693 dn_loss_iou: 0.2088 d0.dn_loss_cls: 0.1614 d0.dn_loss_bbox: 0.3187 d0.dn_loss_iou: 0.3494 d1.dn_loss_cls: 0.1095 d1.dn_loss_bbox: 0.2002 d1.dn_loss_iou: 0.2381 d2.dn_loss_cls: 0.0944 d2.dn_loss_bbox: 0.1781 d2.dn_loss_iou: 0.2168 d3.dn_loss_cls: 0.0832 d3.dn_loss_bbox: 0.1709 d3.dn_loss_iou: 0.2103 d4.dn_loss_cls: 0.0792 d4.dn_loss_bbox: 0.1694 d4.dn_loss_iou: 0.2086 d1.loss_lmm_region: 0.1254 loss_lmm_image: 0.8161 2024/11/03 13:14:27 - mmengine - INFO - Iter(train) [ 87100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:18:24 time: 0.9795 data_time: 0.0184 memory: 20916 grad_norm: 21.9212 loss: 8.8192 loss_cls: 0.2671 loss_bbox: 0.1282 loss_iou: 0.2205 d0.loss_cls: 0.2941 d0.loss_bbox: 0.1458 d0.loss_iou: 0.2427 d1.loss_cls: 0.2865 d1.loss_bbox: 0.1303 d1.loss_iou: 0.2251 d2.loss_cls: 0.2776 d2.loss_bbox: 0.1278 d2.loss_iou: 0.2224 d3.loss_cls: 0.2719 d3.loss_bbox: 0.1274 d3.loss_iou: 0.2212 d4.loss_cls: 0.2698 d4.loss_bbox: 0.1276 d4.loss_iou: 0.2206 enc_loss_cls: 0.3181 enc_loss_bbox: 0.1588 enc_loss_iou: 0.2618 dn_loss_cls: 0.0840 dn_loss_bbox: 0.1731 dn_loss_iou: 0.2178 d0.dn_loss_cls: 0.1680 d0.dn_loss_bbox: 0.3230 d0.dn_loss_iou: 0.3689 d1.dn_loss_cls: 0.1157 d1.dn_loss_bbox: 0.2008 d1.dn_loss_iou: 0.2493 d2.dn_loss_cls: 0.0980 d2.dn_loss_bbox: 0.1809 d2.dn_loss_iou: 0.2259 d3.dn_loss_cls: 0.0862 d3.dn_loss_bbox: 0.1744 d3.dn_loss_iou: 0.2193 d4.dn_loss_cls: 0.0857 d4.dn_loss_bbox: 0.1730 d4.dn_loss_iou: 0.2178 d1.loss_lmm_region: 0.1348 loss_lmm_image: 0.7768 2024/11/03 13:16:04 - mmengine - INFO - Iter(train) [ 87200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:16:44 time: 0.9680 data_time: 0.0185 memory: 21717 grad_norm: 20.6611 loss: 8.4620 loss_cls: 0.2478 loss_bbox: 0.1250 loss_iou: 0.2071 d0.loss_cls: 0.2763 d0.loss_bbox: 0.1330 d0.loss_iou: 0.2206 d1.loss_cls: 0.2591 d1.loss_bbox: 0.1293 d1.loss_iou: 0.2171 d2.loss_cls: 0.2550 d2.loss_bbox: 0.1241 d2.loss_iou: 0.2083 d3.loss_cls: 0.2536 d3.loss_bbox: 0.1221 d3.loss_iou: 0.2056 d4.loss_cls: 0.2499 d4.loss_bbox: 0.1228 d4.loss_iou: 0.2073 enc_loss_cls: 0.3006 enc_loss_bbox: 0.1405 enc_loss_iou: 0.2393 dn_loss_cls: 0.0914 dn_loss_bbox: 0.1659 dn_loss_iou: 0.2013 d0.dn_loss_cls: 0.1712 d0.dn_loss_bbox: 0.3320 d0.dn_loss_iou: 0.3575 d1.dn_loss_cls: 0.1181 d1.dn_loss_bbox: 0.2005 d1.dn_loss_iou: 0.2360 d2.dn_loss_cls: 0.1020 d2.dn_loss_bbox: 0.1739 d2.dn_loss_iou: 0.2097 d3.dn_loss_cls: 0.0943 d3.dn_loss_bbox: 0.1671 d3.dn_loss_iou: 0.2027 d4.dn_loss_cls: 0.0908 d4.dn_loss_bbox: 0.1659 d4.dn_loss_iou: 0.2014 d1.loss_lmm_region: 0.1205 loss_lmm_image: 0.8154 2024/11/03 13:17:41 - mmengine - INFO - Iter(train) [ 87300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:15:04 time: 0.9680 data_time: 0.0183 memory: 22232 grad_norm: 23.9454 loss: 10.0880 loss_cls: 0.2914 loss_bbox: 0.1752 loss_iou: 0.2966 d0.loss_cls: 0.3283 d0.loss_bbox: 0.1879 d0.loss_iou: 0.3178 d1.loss_cls: 0.3112 d1.loss_bbox: 0.1825 d1.loss_iou: 0.3058 d2.loss_cls: 0.3023 d2.loss_bbox: 0.1792 d2.loss_iou: 0.2998 d3.loss_cls: 0.2990 d3.loss_bbox: 0.1746 d3.loss_iou: 0.2944 d4.loss_cls: 0.2910 d4.loss_bbox: 0.1756 d4.loss_iou: 0.2969 enc_loss_cls: 0.3508 enc_loss_bbox: 0.2015 enc_loss_iou: 0.3349 dn_loss_cls: 0.0855 dn_loss_bbox: 0.1907 dn_loss_iou: 0.2433 d0.dn_loss_cls: 0.1708 d0.dn_loss_bbox: 0.3296 d0.dn_loss_iou: 0.3874 d1.dn_loss_cls: 0.1136 d1.dn_loss_bbox: 0.2192 d1.dn_loss_iou: 0.2719 d2.dn_loss_cls: 0.0986 d2.dn_loss_bbox: 0.1990 d2.dn_loss_iou: 0.2510 d3.dn_loss_cls: 0.0917 d3.dn_loss_bbox: 0.1922 d3.dn_loss_iou: 0.2443 d4.dn_loss_cls: 0.0856 d4.dn_loss_bbox: 0.1907 d4.dn_loss_iou: 0.2430 d1.loss_lmm_region: 0.1460 loss_lmm_image: 0.7373 2024/11/03 13:19:18 - mmengine - INFO - Iter(train) [ 87400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:13:23 time: 0.9675 data_time: 0.0183 memory: 21724 grad_norm: 22.0858 loss: 9.4238 loss_cls: 0.2943 loss_bbox: 0.1376 loss_iou: 0.2672 d0.loss_cls: 0.3333 d0.loss_bbox: 0.1582 d0.loss_iou: 0.2845 d1.loss_cls: 0.3099 d1.loss_bbox: 0.1459 d1.loss_iou: 0.2758 d2.loss_cls: 0.3020 d2.loss_bbox: 0.1399 d2.loss_iou: 0.2668 d3.loss_cls: 0.2999 d3.loss_bbox: 0.1369 d3.loss_iou: 0.2676 d4.loss_cls: 0.2933 d4.loss_bbox: 0.1387 d4.loss_iou: 0.2683 enc_loss_cls: 0.3540 enc_loss_bbox: 0.1690 enc_loss_iou: 0.3017 dn_loss_cls: 0.0817 dn_loss_bbox: 0.1703 dn_loss_iou: 0.2238 d0.dn_loss_cls: 0.1693 d0.dn_loss_bbox: 0.3327 d0.dn_loss_iou: 0.3752 d1.dn_loss_cls: 0.1092 d1.dn_loss_bbox: 0.2063 d1.dn_loss_iou: 0.2587 d2.dn_loss_cls: 0.0919 d2.dn_loss_bbox: 0.1798 d2.dn_loss_iou: 0.2327 d3.dn_loss_cls: 0.0842 d3.dn_loss_bbox: 0.1719 d3.dn_loss_iou: 0.2252 d4.dn_loss_cls: 0.0823 d4.dn_loss_bbox: 0.1703 d4.dn_loss_iou: 0.2238 d1.loss_lmm_region: 0.1193 loss_lmm_image: 0.7703 2024/11/03 13:20:55 - mmengine - INFO - Iter(train) [ 87500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:11:43 time: 0.9657 data_time: 0.0184 memory: 21124 grad_norm: 23.9295 loss: 9.0201 loss_cls: 0.2687 loss_bbox: 0.1385 loss_iou: 0.2513 d0.loss_cls: 0.3052 d0.loss_bbox: 0.1631 d0.loss_iou: 0.2763 d1.loss_cls: 0.2914 d1.loss_bbox: 0.1437 d1.loss_iou: 0.2586 d2.loss_cls: 0.2799 d2.loss_bbox: 0.1392 d2.loss_iou: 0.2548 d3.loss_cls: 0.2749 d3.loss_bbox: 0.1390 d3.loss_iou: 0.2511 d4.loss_cls: 0.2702 d4.loss_bbox: 0.1382 d4.loss_iou: 0.2523 enc_loss_cls: 0.3288 enc_loss_bbox: 0.1767 enc_loss_iou: 0.2963 dn_loss_cls: 0.0769 dn_loss_bbox: 0.1568 dn_loss_iou: 0.2164 d0.dn_loss_cls: 0.1605 d0.dn_loss_bbox: 0.3004 d0.dn_loss_iou: 0.3626 d1.dn_loss_cls: 0.1077 d1.dn_loss_bbox: 0.1875 d1.dn_loss_iou: 0.2482 d2.dn_loss_cls: 0.0925 d2.dn_loss_bbox: 0.1647 d2.dn_loss_iou: 0.2245 d3.dn_loss_cls: 0.0827 d3.dn_loss_bbox: 0.1570 d3.dn_loss_iou: 0.2176 d4.dn_loss_cls: 0.0779 d4.dn_loss_bbox: 0.1567 d4.dn_loss_iou: 0.2163 d1.loss_lmm_region: 0.1373 loss_lmm_image: 0.7778 2024/11/03 13:22:33 - mmengine - INFO - Iter(train) [ 87600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:10:03 time: 0.9783 data_time: 0.0183 memory: 20414 grad_norm: 22.5452 loss: 10.3699 loss_cls: 0.3514 loss_bbox: 0.1643 loss_iou: 0.3031 d0.loss_cls: 0.3861 d0.loss_bbox: 0.1751 d0.loss_iou: 0.3206 d1.loss_cls: 0.3702 d1.loss_bbox: 0.1594 d1.loss_iou: 0.3059 d2.loss_cls: 0.3616 d2.loss_bbox: 0.1617 d2.loss_iou: 0.3032 d3.loss_cls: 0.3580 d3.loss_bbox: 0.1624 d3.loss_iou: 0.3012 d4.loss_cls: 0.3534 d4.loss_bbox: 0.1631 d4.loss_iou: 0.3024 enc_loss_cls: 0.4120 enc_loss_bbox: 0.1848 enc_loss_iou: 0.3425 dn_loss_cls: 0.0841 dn_loss_bbox: 0.1710 dn_loss_iou: 0.2302 d0.dn_loss_cls: 0.1747 d0.dn_loss_bbox: 0.3339 d0.dn_loss_iou: 0.3853 d1.dn_loss_cls: 0.1192 d1.dn_loss_bbox: 0.2056 d1.dn_loss_iou: 0.2645 d2.dn_loss_cls: 0.1035 d2.dn_loss_bbox: 0.1780 d2.dn_loss_iou: 0.2379 d3.dn_loss_cls: 0.0906 d3.dn_loss_bbox: 0.1708 d3.dn_loss_iou: 0.2307 d4.dn_loss_cls: 0.0852 d4.dn_loss_bbox: 0.1710 d4.dn_loss_iou: 0.2300 d1.loss_lmm_region: 0.1393 loss_lmm_image: 0.8221 2024/11/03 13:24:11 - mmengine - INFO - Iter(train) [ 87700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:08:23 time: 0.9777 data_time: 0.0183 memory: 20943 grad_norm: 21.6493 loss: 9.1842 loss_cls: 0.2868 loss_bbox: 0.1411 loss_iou: 0.2751 d0.loss_cls: 0.3255 d0.loss_bbox: 0.1605 d0.loss_iou: 0.2947 d1.loss_cls: 0.3058 d1.loss_bbox: 0.1444 d1.loss_iou: 0.2807 d2.loss_cls: 0.2970 d2.loss_bbox: 0.1425 d2.loss_iou: 0.2774 d3.loss_cls: 0.2919 d3.loss_bbox: 0.1422 d3.loss_iou: 0.2765 d4.loss_cls: 0.2866 d4.loss_bbox: 0.1408 d4.loss_iou: 0.2751 enc_loss_cls: 0.3530 enc_loss_bbox: 0.1736 enc_loss_iou: 0.3173 dn_loss_cls: 0.0704 dn_loss_bbox: 0.1513 dn_loss_iou: 0.2034 d0.dn_loss_cls: 0.1526 d0.dn_loss_bbox: 0.2996 d0.dn_loss_iou: 0.3436 d1.dn_loss_cls: 0.0996 d1.dn_loss_bbox: 0.1831 d1.dn_loss_iou: 0.2346 d2.dn_loss_cls: 0.0839 d2.dn_loss_bbox: 0.1598 d2.dn_loss_iou: 0.2116 d3.dn_loss_cls: 0.0760 d3.dn_loss_bbox: 0.1525 d3.dn_loss_iou: 0.2050 d4.dn_loss_cls: 0.0714 d4.dn_loss_bbox: 0.1512 d4.dn_loss_iou: 0.2032 d1.loss_lmm_region: 0.1215 loss_lmm_image: 0.8211 2024/11/03 13:25:48 - mmengine - INFO - Iter(train) [ 87800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:06:43 time: 0.9746 data_time: 0.0185 memory: 20652 grad_norm: 23.6374 loss: 8.5278 loss_cls: 0.2800 loss_bbox: 0.1233 loss_iou: 0.2492 d0.loss_cls: 0.3123 d0.loss_bbox: 0.1326 d0.loss_iou: 0.2602 d1.loss_cls: 0.2966 d1.loss_bbox: 0.1275 d1.loss_iou: 0.2521 d2.loss_cls: 0.2901 d2.loss_bbox: 0.1226 d2.loss_iou: 0.2469 d3.loss_cls: 0.2863 d3.loss_bbox: 0.1218 d3.loss_iou: 0.2457 d4.loss_cls: 0.2830 d4.loss_bbox: 0.1224 d4.loss_iou: 0.2466 enc_loss_cls: 0.3226 enc_loss_bbox: 0.1515 enc_loss_iou: 0.2845 dn_loss_cls: 0.0569 dn_loss_bbox: 0.1410 dn_loss_iou: 0.1993 d0.dn_loss_cls: 0.1371 d0.dn_loss_bbox: 0.2790 d0.dn_loss_iou: 0.3405 d1.dn_loss_cls: 0.0874 d1.dn_loss_bbox: 0.1707 d1.dn_loss_iou: 0.2314 d2.dn_loss_cls: 0.0686 d2.dn_loss_bbox: 0.1489 d2.dn_loss_iou: 0.2082 d3.dn_loss_cls: 0.0610 d3.dn_loss_bbox: 0.1420 d3.dn_loss_iou: 0.2007 d4.dn_loss_cls: 0.0571 d4.dn_loss_bbox: 0.1410 d4.dn_loss_iou: 0.1991 d1.loss_lmm_region: 0.1286 loss_lmm_image: 0.7717 2024/11/03 13:27:26 - mmengine - INFO - Iter(train) [ 87900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:05:03 time: 0.9819 data_time: 0.0183 memory: 20528 grad_norm: 21.7379 loss: 8.8139 loss_cls: 0.2784 loss_bbox: 0.1256 loss_iou: 0.2174 d0.loss_cls: 0.3109 d0.loss_bbox: 0.1437 d0.loss_iou: 0.2389 d1.loss_cls: 0.2950 d1.loss_bbox: 0.1359 d1.loss_iou: 0.2284 d2.loss_cls: 0.2888 d2.loss_bbox: 0.1270 d2.loss_iou: 0.2192 d3.loss_cls: 0.2818 d3.loss_bbox: 0.1262 d3.loss_iou: 0.2177 d4.loss_cls: 0.2794 d4.loss_bbox: 0.1253 d4.loss_iou: 0.2170 enc_loss_cls: 0.3299 enc_loss_bbox: 0.1559 enc_loss_iou: 0.2620 dn_loss_cls: 0.0938 dn_loss_bbox: 0.1642 dn_loss_iou: 0.1948 d0.dn_loss_cls: 0.1714 d0.dn_loss_bbox: 0.3169 d0.dn_loss_iou: 0.3348 d1.dn_loss_cls: 0.1237 d1.dn_loss_bbox: 0.1979 d1.dn_loss_iou: 0.2270 d2.dn_loss_cls: 0.1074 d2.dn_loss_bbox: 0.1748 d2.dn_loss_iou: 0.2045 d3.dn_loss_cls: 0.0999 d3.dn_loss_bbox: 0.1664 d3.dn_loss_iou: 0.1965 d4.dn_loss_cls: 0.0962 d4.dn_loss_bbox: 0.1642 d4.dn_loss_iou: 0.1946 d1.loss_lmm_region: 0.1235 loss_lmm_image: 0.8570 2024/11/03 13:29:03 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 13:29:03 - mmengine - INFO - Iter(train) [ 88000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:03:22 time: 0.9750 data_time: 0.0184 memory: 20954 grad_norm: 21.8403 loss: 9.7583 loss_cls: 0.2844 loss_bbox: 0.1520 loss_iou: 0.2452 d0.loss_cls: 0.3176 d0.loss_bbox: 0.1746 d0.loss_iou: 0.2732 d1.loss_cls: 0.3021 d1.loss_bbox: 0.1606 d1.loss_iou: 0.2553 d2.loss_cls: 0.2978 d2.loss_bbox: 0.1514 d2.loss_iou: 0.2460 d3.loss_cls: 0.2897 d3.loss_bbox: 0.1547 d3.loss_iou: 0.2473 d4.loss_cls: 0.2850 d4.loss_bbox: 0.1529 d4.loss_iou: 0.2448 enc_loss_cls: 0.3368 enc_loss_bbox: 0.1839 enc_loss_iou: 0.2871 dn_loss_cls: 0.0941 dn_loss_bbox: 0.2060 dn_loss_iou: 0.2437 d0.dn_loss_cls: 0.1821 d0.dn_loss_bbox: 0.3658 d0.dn_loss_iou: 0.3982 d1.dn_loss_cls: 0.1230 d1.dn_loss_bbox: 0.2420 d1.dn_loss_iou: 0.2788 d2.dn_loss_cls: 0.1057 d2.dn_loss_bbox: 0.2156 d2.dn_loss_iou: 0.2527 d3.dn_loss_cls: 0.0979 d3.dn_loss_bbox: 0.2076 d3.dn_loss_iou: 0.2454 d4.dn_loss_cls: 0.0943 d4.dn_loss_bbox: 0.2060 d4.dn_loss_iou: 0.2436 d1.loss_lmm_region: 0.1593 loss_lmm_image: 0.7540 2024/11/03 13:30:42 - mmengine - INFO - Iter(train) [ 88100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:01:43 time: 0.9850 data_time: 0.0183 memory: 21720 grad_norm: 20.9294 loss: 9.2900 loss_cls: 0.2758 loss_bbox: 0.1445 loss_iou: 0.2697 d0.loss_cls: 0.3138 d0.loss_bbox: 0.1594 d0.loss_iou: 0.2860 d1.loss_cls: 0.2904 d1.loss_bbox: 0.1465 d1.loss_iou: 0.2732 d2.loss_cls: 0.2836 d2.loss_bbox: 0.1446 d2.loss_iou: 0.2702 d3.loss_cls: 0.2786 d3.loss_bbox: 0.1463 d3.loss_iou: 0.2695 d4.loss_cls: 0.2769 d4.loss_bbox: 0.1436 d4.loss_iou: 0.2687 enc_loss_cls: 0.3296 enc_loss_bbox: 0.1737 enc_loss_iou: 0.3070 dn_loss_cls: 0.0750 dn_loss_bbox: 0.1727 dn_loss_iou: 0.2263 d0.dn_loss_cls: 0.1643 d0.dn_loss_bbox: 0.3320 d0.dn_loss_iou: 0.3759 d1.dn_loss_cls: 0.1066 d1.dn_loss_bbox: 0.2018 d1.dn_loss_iou: 0.2568 d2.dn_loss_cls: 0.0894 d2.dn_loss_bbox: 0.1798 d2.dn_loss_iou: 0.2340 d3.dn_loss_cls: 0.0808 d3.dn_loss_bbox: 0.1742 d3.dn_loss_iou: 0.2276 d4.dn_loss_cls: 0.0756 d4.dn_loss_bbox: 0.1728 d4.dn_loss_iou: 0.2261 d1.loss_lmm_region: 0.1253 loss_lmm_image: 0.7415 2024/11/03 13:32:20 - mmengine - INFO - Iter(train) [ 88200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:00:03 time: 0.9715 data_time: 0.0185 memory: 20743 grad_norm: 22.2139 loss: 8.6698 loss_cls: 0.2496 loss_bbox: 0.1262 loss_iou: 0.2576 d0.loss_cls: 0.2765 d0.loss_bbox: 0.1380 d0.loss_iou: 0.2757 d1.loss_cls: 0.2678 d1.loss_bbox: 0.1284 d1.loss_iou: 0.2615 d2.loss_cls: 0.2609 d2.loss_bbox: 0.1263 d2.loss_iou: 0.2618 d3.loss_cls: 0.2545 d3.loss_bbox: 0.1272 d3.loss_iou: 0.2588 d4.loss_cls: 0.2500 d4.loss_bbox: 0.1260 d4.loss_iou: 0.2603 enc_loss_cls: 0.3007 enc_loss_bbox: 0.1522 enc_loss_iou: 0.2931 dn_loss_cls: 0.0679 dn_loss_bbox: 0.1459 dn_loss_iou: 0.2158 d0.dn_loss_cls: 0.1463 d0.dn_loss_bbox: 0.2977 d0.dn_loss_iou: 0.3601 d1.dn_loss_cls: 0.0953 d1.dn_loss_bbox: 0.1854 d1.dn_loss_iou: 0.2513 d2.dn_loss_cls: 0.0809 d2.dn_loss_bbox: 0.1553 d2.dn_loss_iou: 0.2247 d3.dn_loss_cls: 0.0731 d3.dn_loss_bbox: 0.1471 d3.dn_loss_iou: 0.2172 d4.dn_loss_cls: 0.0682 d4.dn_loss_bbox: 0.1461 d4.dn_loss_iou: 0.2158 d1.loss_lmm_region: 0.1187 loss_lmm_image: 0.8039 2024/11/03 13:33:56 - mmengine - INFO - Iter(train) [ 88300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:58:22 time: 0.9670 data_time: 0.0184 memory: 20860 grad_norm: 21.6729 loss: 8.9746 loss_cls: 0.2950 loss_bbox: 0.1377 loss_iou: 0.2393 d0.loss_cls: 0.3412 d0.loss_bbox: 0.1526 d0.loss_iou: 0.2650 d1.loss_cls: 0.3177 d1.loss_bbox: 0.1461 d1.loss_iou: 0.2479 d2.loss_cls: 0.3079 d2.loss_bbox: 0.1382 d2.loss_iou: 0.2411 d3.loss_cls: 0.2982 d3.loss_bbox: 0.1401 d3.loss_iou: 0.2425 d4.loss_cls: 0.2962 d4.loss_bbox: 0.1382 d4.loss_iou: 0.2417 enc_loss_cls: 0.3545 enc_loss_bbox: 0.1688 enc_loss_iou: 0.2898 dn_loss_cls: 0.0650 dn_loss_bbox: 0.1618 dn_loss_iou: 0.1981 d0.dn_loss_cls: 0.1412 d0.dn_loss_bbox: 0.3091 d0.dn_loss_iou: 0.3426 d1.dn_loss_cls: 0.0921 d1.dn_loss_bbox: 0.1995 d1.dn_loss_iou: 0.2341 d2.dn_loss_cls: 0.0789 d2.dn_loss_bbox: 0.1737 d2.dn_loss_iou: 0.2087 d3.dn_loss_cls: 0.0716 d3.dn_loss_bbox: 0.1628 d3.dn_loss_iou: 0.2001 d4.dn_loss_cls: 0.0661 d4.dn_loss_bbox: 0.1617 d4.dn_loss_iou: 0.1981 d1.loss_lmm_region: 0.1231 loss_lmm_image: 0.7864 2024/11/03 13:35:34 - mmengine - INFO - Iter(train) [ 88400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:56:42 time: 0.9680 data_time: 0.0185 memory: 19992 grad_norm: 20.8981 loss: 9.3785 loss_cls: 0.3172 loss_bbox: 0.1347 loss_iou: 0.2362 d0.loss_cls: 0.3443 d0.loss_bbox: 0.1495 d0.loss_iou: 0.2537 d1.loss_cls: 0.3289 d1.loss_bbox: 0.1386 d1.loss_iou: 0.2452 d2.loss_cls: 0.3188 d2.loss_bbox: 0.1354 d2.loss_iou: 0.2393 d3.loss_cls: 0.3230 d3.loss_bbox: 0.1341 d3.loss_iou: 0.2358 d4.loss_cls: 0.3181 d4.loss_bbox: 0.1343 d4.loss_iou: 0.2361 enc_loss_cls: 0.3577 enc_loss_bbox: 0.1688 enc_loss_iou: 0.2770 dn_loss_cls: 0.0842 dn_loss_bbox: 0.1745 dn_loss_iou: 0.2164 d0.dn_loss_cls: 0.1726 d0.dn_loss_bbox: 0.3178 d0.dn_loss_iou: 0.3571 d1.dn_loss_cls: 0.1141 d1.dn_loss_bbox: 0.2056 d1.dn_loss_iou: 0.2481 d2.dn_loss_cls: 0.0977 d2.dn_loss_bbox: 0.1839 d2.dn_loss_iou: 0.2251 d3.dn_loss_cls: 0.0899 d3.dn_loss_bbox: 0.1756 d3.dn_loss_iou: 0.2177 d4.dn_loss_cls: 0.0848 d4.dn_loss_bbox: 0.1746 d4.dn_loss_iou: 0.2164 d1.loss_lmm_region: 0.1478 loss_lmm_image: 0.8476 2024/11/03 13:37:12 - mmengine - INFO - Iter(train) [ 88500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:55:02 time: 0.9814 data_time: 0.0184 memory: 20206 grad_norm: 21.5518 loss: 9.6515 loss_cls: 0.2767 loss_bbox: 0.1501 loss_iou: 0.2925 d0.loss_cls: 0.3160 d0.loss_bbox: 0.1659 d0.loss_iou: 0.3090 d1.loss_cls: 0.2981 d1.loss_bbox: 0.1481 d1.loss_iou: 0.2934 d2.loss_cls: 0.2917 d2.loss_bbox: 0.1415 d2.loss_iou: 0.2919 d3.loss_cls: 0.2852 d3.loss_bbox: 0.1460 d3.loss_iou: 0.2920 d4.loss_cls: 0.2816 d4.loss_bbox: 0.1466 d4.loss_iou: 0.2915 enc_loss_cls: 0.3378 enc_loss_bbox: 0.1789 enc_loss_iou: 0.3325 dn_loss_cls: 0.0902 dn_loss_bbox: 0.1720 dn_loss_iou: 0.2310 d0.dn_loss_cls: 0.1718 d0.dn_loss_bbox: 0.3180 d0.dn_loss_iou: 0.3796 d1.dn_loss_cls: 0.1232 d1.dn_loss_bbox: 0.2092 d1.dn_loss_iou: 0.2668 d2.dn_loss_cls: 0.1064 d2.dn_loss_bbox: 0.1807 d2.dn_loss_iou: 0.2408 d3.dn_loss_cls: 0.0964 d3.dn_loss_bbox: 0.1731 d3.dn_loss_iou: 0.2322 d4.dn_loss_cls: 0.0922 d4.dn_loss_bbox: 0.1722 d4.dn_loss_iou: 0.2309 d1.loss_lmm_region: 0.1454 loss_lmm_image: 0.7522 2024/11/03 13:38:49 - mmengine - INFO - Iter(train) [ 88600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:53:22 time: 0.9828 data_time: 0.0184 memory: 21446 grad_norm: 21.7322 loss: 9.1407 loss_cls: 0.2742 loss_bbox: 0.1275 loss_iou: 0.2307 d0.loss_cls: 0.3066 d0.loss_bbox: 0.1442 d0.loss_iou: 0.2489 d1.loss_cls: 0.2913 d1.loss_bbox: 0.1350 d1.loss_iou: 0.2386 d2.loss_cls: 0.2887 d2.loss_bbox: 0.1268 d2.loss_iou: 0.2304 d3.loss_cls: 0.2789 d3.loss_bbox: 0.1281 d3.loss_iou: 0.2308 d4.loss_cls: 0.2763 d4.loss_bbox: 0.1259 d4.loss_iou: 0.2303 enc_loss_cls: 0.3250 enc_loss_bbox: 0.1572 enc_loss_iou: 0.2691 dn_loss_cls: 0.0861 dn_loss_bbox: 0.1846 dn_loss_iou: 0.2276 d0.dn_loss_cls: 0.1756 d0.dn_loss_bbox: 0.3443 d0.dn_loss_iou: 0.3858 d1.dn_loss_cls: 0.1186 d1.dn_loss_bbox: 0.2179 d1.dn_loss_iou: 0.2641 d2.dn_loss_cls: 0.0999 d2.dn_loss_bbox: 0.1920 d2.dn_loss_iou: 0.2355 d3.dn_loss_cls: 0.0925 d3.dn_loss_bbox: 0.1843 d3.dn_loss_iou: 0.2285 d4.dn_loss_cls: 0.0882 d4.dn_loss_bbox: 0.1846 d4.dn_loss_iou: 0.2276 d1.loss_lmm_region: 0.1225 loss_lmm_image: 0.8165 2024/11/03 13:40:27 - mmengine - INFO - Iter(train) [ 88700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:51:42 time: 0.9717 data_time: 0.0184 memory: 20158 grad_norm: 22.6318 loss: 9.0451 loss_cls: 0.2533 loss_bbox: 0.1424 loss_iou: 0.2443 d0.loss_cls: 0.2840 d0.loss_bbox: 0.1419 d0.loss_iou: 0.2503 d1.loss_cls: 0.2716 d1.loss_bbox: 0.1393 d1.loss_iou: 0.2438 d2.loss_cls: 0.2617 d2.loss_bbox: 0.1392 d2.loss_iou: 0.2426 d3.loss_cls: 0.2621 d3.loss_bbox: 0.1372 d3.loss_iou: 0.2404 d4.loss_cls: 0.2554 d4.loss_bbox: 0.1414 d4.loss_iou: 0.2432 enc_loss_cls: 0.2979 enc_loss_bbox: 0.1566 enc_loss_iou: 0.2722 dn_loss_cls: 0.0937 dn_loss_bbox: 0.1799 dn_loss_iou: 0.2348 d0.dn_loss_cls: 0.1732 d0.dn_loss_bbox: 0.3294 d0.dn_loss_iou: 0.3822 d1.dn_loss_cls: 0.1182 d1.dn_loss_bbox: 0.2112 d1.dn_loss_iou: 0.2661 d2.dn_loss_cls: 0.1048 d2.dn_loss_bbox: 0.1857 d2.dn_loss_iou: 0.2416 d3.dn_loss_cls: 0.0957 d3.dn_loss_bbox: 0.1801 d3.dn_loss_iou: 0.2353 d4.dn_loss_cls: 0.0922 d4.dn_loss_bbox: 0.1799 d4.dn_loss_iou: 0.2348 d1.loss_lmm_region: 0.1356 loss_lmm_image: 0.7500 2024/11/03 13:42:03 - mmengine - INFO - Iter(train) [ 88800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:50:01 time: 0.9539 data_time: 0.0184 memory: 20861 grad_norm: 20.9619 loss: 10.1523 loss_cls: 0.2776 loss_bbox: 0.1703 loss_iou: 0.2885 d0.loss_cls: 0.3100 d0.loss_bbox: 0.1732 d0.loss_iou: 0.2980 d1.loss_cls: 0.2921 d1.loss_bbox: 0.1712 d1.loss_iou: 0.2911 d2.loss_cls: 0.2876 d2.loss_bbox: 0.1691 d2.loss_iou: 0.2872 d3.loss_cls: 0.2847 d3.loss_bbox: 0.1682 d3.loss_iou: 0.2852 d4.loss_cls: 0.2800 d4.loss_bbox: 0.1690 d4.loss_iou: 0.2864 enc_loss_cls: 0.3280 enc_loss_bbox: 0.1890 enc_loss_iou: 0.3189 dn_loss_cls: 0.0864 dn_loss_bbox: 0.2181 dn_loss_iou: 0.2626 d0.dn_loss_cls: 0.1675 d0.dn_loss_bbox: 0.3763 d0.dn_loss_iou: 0.4193 d1.dn_loss_cls: 0.1142 d1.dn_loss_bbox: 0.2489 d1.dn_loss_iou: 0.2963 d2.dn_loss_cls: 0.0981 d2.dn_loss_bbox: 0.2254 d2.dn_loss_iou: 0.2695 d3.dn_loss_cls: 0.0911 d3.dn_loss_bbox: 0.2186 d3.dn_loss_iou: 0.2640 d4.dn_loss_cls: 0.0869 d4.dn_loss_bbox: 0.2181 d4.dn_loss_iou: 0.2627 d1.loss_lmm_region: 0.1193 loss_lmm_image: 0.7834 2024/11/03 13:43:40 - mmengine - INFO - Iter(train) [ 88900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:48:21 time: 0.9703 data_time: 0.0186 memory: 20671 grad_norm: 22.5513 loss: 9.4061 loss_cls: 0.2786 loss_bbox: 0.1384 loss_iou: 0.2566 d0.loss_cls: 0.3092 d0.loss_bbox: 0.1501 d0.loss_iou: 0.2755 d1.loss_cls: 0.3005 d1.loss_bbox: 0.1399 d1.loss_iou: 0.2596 d2.loss_cls: 0.2955 d2.loss_bbox: 0.1339 d2.loss_iou: 0.2548 d3.loss_cls: 0.2857 d3.loss_bbox: 0.1350 d3.loss_iou: 0.2546 d4.loss_cls: 0.2786 d4.loss_bbox: 0.1381 d4.loss_iou: 0.2560 enc_loss_cls: 0.3278 enc_loss_bbox: 0.1652 enc_loss_iou: 0.3005 dn_loss_cls: 0.0854 dn_loss_bbox: 0.1800 dn_loss_iou: 0.2252 d0.dn_loss_cls: 0.1700 d0.dn_loss_bbox: 0.3581 d0.dn_loss_iou: 0.3910 d1.dn_loss_cls: 0.1129 d1.dn_loss_bbox: 0.2216 d1.dn_loss_iou: 0.2633 d2.dn_loss_cls: 0.0953 d2.dn_loss_bbox: 0.1914 d2.dn_loss_iou: 0.2358 d3.dn_loss_cls: 0.0878 d3.dn_loss_bbox: 0.1812 d3.dn_loss_iou: 0.2273 d4.dn_loss_cls: 0.0844 d4.dn_loss_bbox: 0.1801 d4.dn_loss_iou: 0.2253 d1.loss_lmm_region: 0.1194 loss_lmm_image: 0.8366 2024/11/03 13:45:19 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 13:45:19 - mmengine - INFO - Iter(train) [ 89000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:46:41 time: 0.9819 data_time: 0.0185 memory: 21383 grad_norm: 23.9137 loss: 9.4672 loss_cls: 0.2938 loss_bbox: 0.1350 loss_iou: 0.2537 d0.loss_cls: 0.3258 d0.loss_bbox: 0.1534 d0.loss_iou: 0.2731 d1.loss_cls: 0.3078 d1.loss_bbox: 0.1401 d1.loss_iou: 0.2594 d2.loss_cls: 0.2974 d2.loss_bbox: 0.1380 d2.loss_iou: 0.2558 d3.loss_cls: 0.2969 d3.loss_bbox: 0.1361 d3.loss_iou: 0.2545 d4.loss_cls: 0.2921 d4.loss_bbox: 0.1366 d4.loss_iou: 0.2558 enc_loss_cls: 0.3454 enc_loss_bbox: 0.1637 enc_loss_iou: 0.2945 dn_loss_cls: 0.0745 dn_loss_bbox: 0.1892 dn_loss_iou: 0.2374 d0.dn_loss_cls: 0.1644 d0.dn_loss_bbox: 0.3515 d0.dn_loss_iou: 0.3918 d1.dn_loss_cls: 0.1044 d1.dn_loss_bbox: 0.2268 d1.dn_loss_iou: 0.2727 d2.dn_loss_cls: 0.0878 d2.dn_loss_bbox: 0.1970 d2.dn_loss_iou: 0.2448 d3.dn_loss_cls: 0.0786 d3.dn_loss_bbox: 0.1895 d3.dn_loss_iou: 0.2377 d4.dn_loss_cls: 0.0737 d4.dn_loss_bbox: 0.1893 d4.dn_loss_iou: 0.2374 d1.loss_lmm_region: 0.1235 loss_lmm_image: 0.7864 2024/11/03 13:46:56 - mmengine - INFO - Iter(train) [ 89100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:45:02 time: 0.9727 data_time: 0.0187 memory: 21357 grad_norm: 20.3374 loss: 9.3340 loss_cls: 0.2861 loss_bbox: 0.1333 loss_iou: 0.2376 d0.loss_cls: 0.3239 d0.loss_bbox: 0.1504 d0.loss_iou: 0.2546 d1.loss_cls: 0.3079 d1.loss_bbox: 0.1378 d1.loss_iou: 0.2421 d2.loss_cls: 0.2971 d2.loss_bbox: 0.1356 d2.loss_iou: 0.2358 d3.loss_cls: 0.2922 d3.loss_bbox: 0.1319 d3.loss_iou: 0.2341 d4.loss_cls: 0.2864 d4.loss_bbox: 0.1343 d4.loss_iou: 0.2385 enc_loss_cls: 0.3416 enc_loss_bbox: 0.1657 enc_loss_iou: 0.2782 dn_loss_cls: 0.1075 dn_loss_bbox: 0.1763 dn_loss_iou: 0.2165 d0.dn_loss_cls: 0.1893 d0.dn_loss_bbox: 0.3492 d0.dn_loss_iou: 0.3752 d1.dn_loss_cls: 0.1305 d1.dn_loss_bbox: 0.2176 d1.dn_loss_iou: 0.2546 d2.dn_loss_cls: 0.1155 d2.dn_loss_bbox: 0.1883 d2.dn_loss_iou: 0.2266 d3.dn_loss_cls: 0.1073 d3.dn_loss_bbox: 0.1778 d3.dn_loss_iou: 0.2182 d4.dn_loss_cls: 0.1054 d4.dn_loss_bbox: 0.1763 d4.dn_loss_iou: 0.2164 d1.loss_lmm_region: 0.1232 loss_lmm_image: 0.8171 2024/11/03 13:48:34 - mmengine - INFO - Iter(train) [ 89200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:43:21 time: 0.9706 data_time: 0.0186 memory: 20649 grad_norm: 20.9587 loss: 9.4501 loss_cls: 0.3048 loss_bbox: 0.1393 loss_iou: 0.2280 d0.loss_cls: 0.3356 d0.loss_bbox: 0.1522 d0.loss_iou: 0.2470 d1.loss_cls: 0.3219 d1.loss_bbox: 0.1417 d1.loss_iou: 0.2318 d2.loss_cls: 0.3135 d2.loss_bbox: 0.1388 d2.loss_iou: 0.2271 d3.loss_cls: 0.3067 d3.loss_bbox: 0.1426 d3.loss_iou: 0.2299 d4.loss_cls: 0.3057 d4.loss_bbox: 0.1407 d4.loss_iou: 0.2286 enc_loss_cls: 0.3493 enc_loss_bbox: 0.1757 enc_loss_iou: 0.2736 dn_loss_cls: 0.0974 dn_loss_bbox: 0.1941 dn_loss_iou: 0.2201 d0.dn_loss_cls: 0.1709 d0.dn_loss_bbox: 0.3351 d0.dn_loss_iou: 0.3644 d1.dn_loss_cls: 0.1232 d1.dn_loss_bbox: 0.2224 d1.dn_loss_iou: 0.2518 d2.dn_loss_cls: 0.1067 d2.dn_loss_bbox: 0.1998 d2.dn_loss_iou: 0.2280 d3.dn_loss_cls: 0.1004 d3.dn_loss_bbox: 0.1946 d3.dn_loss_iou: 0.2219 d4.dn_loss_cls: 0.0979 d4.dn_loss_bbox: 0.1941 d4.dn_loss_iou: 0.2202 d1.loss_lmm_region: 0.1462 loss_lmm_image: 0.8265 2024/11/03 13:50:11 - mmengine - INFO - Iter(train) [ 89300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:41:41 time: 0.9779 data_time: 0.0187 memory: 21052 grad_norm: 22.4523 loss: 9.7420 loss_cls: 0.2755 loss_bbox: 0.1692 loss_iou: 0.2787 d0.loss_cls: 0.3139 d0.loss_bbox: 0.1733 d0.loss_iou: 0.2915 d1.loss_cls: 0.2969 d1.loss_bbox: 0.1596 d1.loss_iou: 0.2811 d2.loss_cls: 0.2887 d2.loss_bbox: 0.1621 d2.loss_iou: 0.2794 d3.loss_cls: 0.2828 d3.loss_bbox: 0.1648 d3.loss_iou: 0.2783 d4.loss_cls: 0.2775 d4.loss_bbox: 0.1665 d4.loss_iou: 0.2781 enc_loss_cls: 0.3334 enc_loss_bbox: 0.1796 enc_loss_iou: 0.3072 dn_loss_cls: 0.0953 dn_loss_bbox: 0.1709 dn_loss_iou: 0.2299 d0.dn_loss_cls: 0.1844 d0.dn_loss_bbox: 0.3386 d0.dn_loss_iou: 0.3819 d1.dn_loss_cls: 0.1302 d1.dn_loss_bbox: 0.2129 d1.dn_loss_iou: 0.2652 d2.dn_loss_cls: 0.1116 d2.dn_loss_bbox: 0.1802 d2.dn_loss_iou: 0.2374 d3.dn_loss_cls: 0.0991 d3.dn_loss_bbox: 0.1721 d3.dn_loss_iou: 0.2309 d4.dn_loss_cls: 0.0940 d4.dn_loss_bbox: 0.1708 d4.dn_loss_iou: 0.2299 d1.loss_lmm_region: 0.1479 loss_lmm_image: 0.8206 2024/11/03 13:51:49 - mmengine - INFO - Iter(train) [ 89400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:40:01 time: 0.9786 data_time: 0.0185 memory: 21027 grad_norm: 22.0378 loss: 10.3394 loss_cls: 0.2945 loss_bbox: 0.1632 loss_iou: 0.3125 d0.loss_cls: 0.3291 d0.loss_bbox: 0.1789 d0.loss_iou: 0.3274 d1.loss_cls: 0.3155 d1.loss_bbox: 0.1672 d1.loss_iou: 0.3154 d2.loss_cls: 0.3056 d2.loss_bbox: 0.1607 d2.loss_iou: 0.3099 d3.loss_cls: 0.2980 d3.loss_bbox: 0.1638 d3.loss_iou: 0.3130 d4.loss_cls: 0.2927 d4.loss_bbox: 0.1637 d4.loss_iou: 0.3128 enc_loss_cls: 0.3531 enc_loss_bbox: 0.1883 enc_loss_iou: 0.3429 dn_loss_cls: 0.0859 dn_loss_bbox: 0.2034 dn_loss_iou: 0.2464 d0.dn_loss_cls: 0.1852 d0.dn_loss_bbox: 0.3659 d0.dn_loss_iou: 0.4002 d1.dn_loss_cls: 0.1249 d1.dn_loss_bbox: 0.2436 d1.dn_loss_iou: 0.2831 d2.dn_loss_cls: 0.1057 d2.dn_loss_bbox: 0.2123 d2.dn_loss_iou: 0.2565 d3.dn_loss_cls: 0.0930 d3.dn_loss_bbox: 0.2054 d3.dn_loss_iou: 0.2486 d4.dn_loss_cls: 0.0860 d4.dn_loss_bbox: 0.2034 d4.dn_loss_iou: 0.2466 d1.loss_lmm_region: 0.1462 loss_lmm_image: 0.7888 2024/11/03 13:53:27 - mmengine - INFO - Iter(train) [ 89500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:38:22 time: 0.9682 data_time: 0.0184 memory: 21593 grad_norm: 21.0077 loss: 8.4875 loss_cls: 0.2619 loss_bbox: 0.1291 loss_iou: 0.2133 d0.loss_cls: 0.2922 d0.loss_bbox: 0.1348 d0.loss_iou: 0.2240 d1.loss_cls: 0.2762 d1.loss_bbox: 0.1278 d1.loss_iou: 0.2138 d2.loss_cls: 0.2727 d2.loss_bbox: 0.1272 d2.loss_iou: 0.2113 d3.loss_cls: 0.2675 d3.loss_bbox: 0.1285 d3.loss_iou: 0.2116 d4.loss_cls: 0.2629 d4.loss_bbox: 0.1291 d4.loss_iou: 0.2134 enc_loss_cls: 0.3014 enc_loss_bbox: 0.1519 enc_loss_iou: 0.2469 dn_loss_cls: 0.0740 dn_loss_bbox: 0.1636 dn_loss_iou: 0.2033 d0.dn_loss_cls: 0.1569 d0.dn_loss_bbox: 0.3256 d0.dn_loss_iou: 0.3577 d1.dn_loss_cls: 0.1032 d1.dn_loss_bbox: 0.1991 d1.dn_loss_iou: 0.2370 d2.dn_loss_cls: 0.0876 d2.dn_loss_bbox: 0.1714 d2.dn_loss_iou: 0.2127 d3.dn_loss_cls: 0.0781 d3.dn_loss_bbox: 0.1647 d3.dn_loss_iou: 0.2049 d4.dn_loss_cls: 0.0743 d4.dn_loss_bbox: 0.1635 d4.dn_loss_iou: 0.2034 d1.loss_lmm_region: 0.1351 loss_lmm_image: 0.7742 2024/11/03 13:55:04 - mmengine - INFO - Iter(train) [ 89600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:36:41 time: 0.9614 data_time: 0.0185 memory: 21000 grad_norm: 22.0927 loss: 11.2057 loss_cls: 0.3440 loss_bbox: 0.1938 loss_iou: 0.3377 d0.loss_cls: 0.3812 d0.loss_bbox: 0.2146 d0.loss_iou: 0.3634 d1.loss_cls: 0.3577 d1.loss_bbox: 0.2064 d1.loss_iou: 0.3519 d2.loss_cls: 0.3568 d2.loss_bbox: 0.1948 d2.loss_iou: 0.3387 d3.loss_cls: 0.3510 d3.loss_bbox: 0.1936 d3.loss_iou: 0.3363 d4.loss_cls: 0.3449 d4.loss_bbox: 0.1947 d4.loss_iou: 0.3369 enc_loss_cls: 0.4025 enc_loss_bbox: 0.2229 enc_loss_iou: 0.3782 dn_loss_cls: 0.0849 dn_loss_bbox: 0.2145 dn_loss_iou: 0.2603 d0.dn_loss_cls: 0.1671 d0.dn_loss_bbox: 0.3767 d0.dn_loss_iou: 0.4151 d1.dn_loss_cls: 0.1151 d1.dn_loss_bbox: 0.2526 d1.dn_loss_iou: 0.2943 d2.dn_loss_cls: 0.0983 d2.dn_loss_bbox: 0.2237 d2.dn_loss_iou: 0.2697 d3.dn_loss_cls: 0.0912 d3.dn_loss_bbox: 0.2158 d3.dn_loss_iou: 0.2616 d4.dn_loss_cls: 0.0843 d4.dn_loss_bbox: 0.2145 d4.dn_loss_iou: 0.2603 d1.loss_lmm_region: 0.1335 loss_lmm_image: 0.7703 2024/11/03 13:56:41 - mmengine - INFO - Iter(train) [ 89700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:35:01 time: 0.9873 data_time: 0.0187 memory: 21112 grad_norm: 20.6520 loss: 9.2424 loss_cls: 0.2954 loss_bbox: 0.1291 loss_iou: 0.2676 d0.loss_cls: 0.3339 d0.loss_bbox: 0.1386 d0.loss_iou: 0.2824 d1.loss_cls: 0.3124 d1.loss_bbox: 0.1327 d1.loss_iou: 0.2736 d2.loss_cls: 0.3039 d2.loss_bbox: 0.1296 d2.loss_iou: 0.2682 d3.loss_cls: 0.2997 d3.loss_bbox: 0.1313 d3.loss_iou: 0.2673 d4.loss_cls: 0.2973 d4.loss_bbox: 0.1279 d4.loss_iou: 0.2659 enc_loss_cls: 0.3496 enc_loss_bbox: 0.1509 enc_loss_iou: 0.3008 dn_loss_cls: 0.0904 dn_loss_bbox: 0.1526 dn_loss_iou: 0.2074 d0.dn_loss_cls: 0.1781 d0.dn_loss_bbox: 0.3011 d0.dn_loss_iou: 0.3569 d1.dn_loss_cls: 0.1219 d1.dn_loss_bbox: 0.1883 d1.dn_loss_iou: 0.2432 d2.dn_loss_cls: 0.1055 d2.dn_loss_bbox: 0.1615 d2.dn_loss_iou: 0.2174 d3.dn_loss_cls: 0.0973 d3.dn_loss_bbox: 0.1545 d3.dn_loss_iou: 0.2091 d4.dn_loss_cls: 0.0914 d4.dn_loss_bbox: 0.1527 d4.dn_loss_iou: 0.2074 d1.loss_lmm_region: 0.1269 loss_lmm_image: 0.8211 2024/11/03 13:58:19 - mmengine - INFO - Iter(train) [ 89800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:33:21 time: 0.9724 data_time: 0.0185 memory: 20512 grad_norm: 23.3888 loss: 9.7028 loss_cls: 0.2649 loss_bbox: 0.1558 loss_iou: 0.2996 d0.loss_cls: 0.2987 d0.loss_bbox: 0.1725 d0.loss_iou: 0.3175 d1.loss_cls: 0.2821 d1.loss_bbox: 0.1609 d1.loss_iou: 0.3072 d2.loss_cls: 0.2747 d2.loss_bbox: 0.1606 d2.loss_iou: 0.3014 d3.loss_cls: 0.2684 d3.loss_bbox: 0.1577 d3.loss_iou: 0.3020 d4.loss_cls: 0.2650 d4.loss_bbox: 0.1584 d4.loss_iou: 0.3008 enc_loss_cls: 0.3175 enc_loss_bbox: 0.1924 enc_loss_iou: 0.3408 dn_loss_cls: 0.0690 dn_loss_bbox: 0.1802 dn_loss_iou: 0.2426 d0.dn_loss_cls: 0.1519 d0.dn_loss_bbox: 0.3467 d0.dn_loss_iou: 0.3908 d1.dn_loss_cls: 0.0962 d1.dn_loss_bbox: 0.2114 d1.dn_loss_iou: 0.2698 d2.dn_loss_cls: 0.0812 d2.dn_loss_bbox: 0.1897 d2.dn_loss_iou: 0.2485 d3.dn_loss_cls: 0.0734 d3.dn_loss_bbox: 0.1822 d3.dn_loss_iou: 0.2433 d4.dn_loss_cls: 0.0701 d4.dn_loss_bbox: 0.1802 d4.dn_loss_iou: 0.2426 d1.loss_lmm_region: 0.1196 loss_lmm_image: 0.8145 2024/11/03 13:59:57 - mmengine - INFO - Iter(train) [ 89900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:31:42 time: 0.9884 data_time: 0.0185 memory: 21231 grad_norm: 21.7564 loss: 10.4027 loss_cls: 0.3391 loss_bbox: 0.1615 loss_iou: 0.3242 d0.loss_cls: 0.3754 d0.loss_bbox: 0.1797 d0.loss_iou: 0.3452 d1.loss_cls: 0.3597 d1.loss_bbox: 0.1677 d1.loss_iou: 0.3307 d2.loss_cls: 0.3506 d2.loss_bbox: 0.1635 d2.loss_iou: 0.3262 d3.loss_cls: 0.3464 d3.loss_bbox: 0.1621 d3.loss_iou: 0.3242 d4.loss_cls: 0.3401 d4.loss_bbox: 0.1608 d4.loss_iou: 0.3246 enc_loss_cls: 0.3998 enc_loss_bbox: 0.1893 enc_loss_iou: 0.3645 dn_loss_cls: 0.0803 dn_loss_bbox: 0.1556 dn_loss_iou: 0.2491 d0.dn_loss_cls: 0.1767 d0.dn_loss_bbox: 0.3001 d0.dn_loss_iou: 0.4065 d1.dn_loss_cls: 0.1167 d1.dn_loss_bbox: 0.1875 d1.dn_loss_iou: 0.2839 d2.dn_loss_cls: 0.0968 d2.dn_loss_bbox: 0.1634 d2.dn_loss_iou: 0.2583 d3.dn_loss_cls: 0.0854 d3.dn_loss_bbox: 0.1569 d3.dn_loss_iou: 0.2507 d4.dn_loss_cls: 0.0809 d4.dn_loss_bbox: 0.1556 d4.dn_loss_iou: 0.2491 d1.loss_lmm_region: 0.1242 loss_lmm_image: 0.7898 2024/11/03 14:01:35 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 14:01:35 - mmengine - INFO - Iter(train) [ 90000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:30:02 time: 0.9818 data_time: 0.0183 memory: 19793 grad_norm: 22.1667 loss: 9.1259 loss_cls: 0.2695 loss_bbox: 0.1479 loss_iou: 0.2432 d0.loss_cls: 0.3011 d0.loss_bbox: 0.1651 d0.loss_iou: 0.2634 d1.loss_cls: 0.2876 d1.loss_bbox: 0.1519 d1.loss_iou: 0.2473 d2.loss_cls: 0.2764 d2.loss_bbox: 0.1521 d2.loss_iou: 0.2457 d3.loss_cls: 0.2734 d3.loss_bbox: 0.1505 d3.loss_iou: 0.2452 d4.loss_cls: 0.2686 d4.loss_bbox: 0.1498 d4.loss_iou: 0.2434 enc_loss_cls: 0.3148 enc_loss_bbox: 0.1812 enc_loss_iou: 0.2842 dn_loss_cls: 0.0821 dn_loss_bbox: 0.1789 dn_loss_iou: 0.2185 d0.dn_loss_cls: 0.1661 d0.dn_loss_bbox: 0.3086 d0.dn_loss_iou: 0.3552 d1.dn_loss_cls: 0.1103 d1.dn_loss_bbox: 0.2026 d1.dn_loss_iou: 0.2461 d2.dn_loss_cls: 0.0957 d2.dn_loss_bbox: 0.1854 d2.dn_loss_iou: 0.2250 d3.dn_loss_cls: 0.0864 d3.dn_loss_bbox: 0.1800 d3.dn_loss_iou: 0.2195 d4.dn_loss_cls: 0.0824 d4.dn_loss_bbox: 0.1788 d4.dn_loss_iou: 0.2182 d1.loss_lmm_region: 0.1265 loss_lmm_image: 0.7975 2024/11/03 14:01:35 - mmengine - INFO - Saving checkpoint at 90000 iterations 2024/11/03 14:05:42 - mmengine - INFO - Iter(val) [100/602] eta: 0:18:31 time: 2.3253 data_time: 0.0017 memory: 5368 2024/11/03 14:10:07 - mmengine - INFO - Iter(val) [200/602] eta: 0:16:18 time: 2.7940 data_time: 0.0018 memory: 5375 2024/11/03 14:15:30 - mmengine - INFO - Iter(val) [300/602] eta: 0:13:34 time: 3.3291 data_time: 0.0018 memory: 5371 2024/11/03 14:21:39 - mmengine - INFO - Iter(val) [400/602] eta: 0:09:55 time: 3.7791 data_time: 0.0019 memory: 5375 2024/11/03 14:28:38 - mmengine - INFO - Iter(val) [500/602] eta: 0:05:25 time: 4.2616 data_time: 0.0018 memory: 5363 2024/11/03 14:36:17 - mmengine - INFO - Iter(val) [600/602] eta: 0:00:06 time: 4.7612 data_time: 0.0019 memory: 5375 2024/11/03 14:42:58 - mmengine - INFO - === 109 classes had less than 10000 detections! Outputting 10000 detections for each class will improve AP further. === 2024/11/03 14:45:25 - mmengine - INFO - mAP_copypaste: {'AP': 0.42747205611919875, 'AP50': 0.5382008464909303, 'AP75': 0.454358819250872, 'APs': 0.3908646570032405, 'APm': 0.5489954273355343, 'APl': 0.6183723775261452, 'APr': 0.34573697693908506, 'APc': 0.37570397740863665, 'APf': 0.48809273143475607} 2024/11/03 14:45:49 - mmengine - INFO - Iter(val) [602/602] lvis_fixed_ap/AP: 0.4275 lvis_fixed_ap/AP50: 0.5382 lvis_fixed_ap/AP75: 0.4544 lvis_fixed_ap/APs: 0.3909 lvis_fixed_ap/APm: 0.5490 lvis_fixed_ap/APl: 0.6184 lvis_fixed_ap/APr: 0.3457 lvis_fixed_ap/APc: 0.3757 lvis_fixed_ap/APf: 0.4881 data_time: 0.0019 time: 3.4331 2024/11/03 14:47:25 - mmengine - INFO - Iter(train) [ 90100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:34:35 time: 0.9597 data_time: 0.0185 memory: 21046 grad_norm: 22.3662 loss: 10.4451 loss_cls: 0.2989 loss_bbox: 0.1664 loss_iou: 0.3086 d0.loss_cls: 0.3474 d0.loss_bbox: 0.1859 d0.loss_iou: 0.3318 d1.loss_cls: 0.3281 d1.loss_bbox: 0.1662 d1.loss_iou: 0.3104 d2.loss_cls: 0.3162 d2.loss_bbox: 0.1654 d2.loss_iou: 0.3084 d3.loss_cls: 0.3071 d3.loss_bbox: 0.1651 d3.loss_iou: 0.3074 d4.loss_cls: 0.2998 d4.loss_bbox: 0.1664 d4.loss_iou: 0.3081 enc_loss_cls: 0.3669 enc_loss_bbox: 0.2009 enc_loss_iou: 0.3549 dn_loss_cls: 0.0905 dn_loss_bbox: 0.1878 dn_loss_iou: 0.2513 d0.dn_loss_cls: 0.1929 d0.dn_loss_bbox: 0.3753 d0.dn_loss_iou: 0.4195 d1.dn_loss_cls: 0.1296 d1.dn_loss_bbox: 0.2313 d1.dn_loss_iou: 0.2866 d2.dn_loss_cls: 0.1132 d2.dn_loss_bbox: 0.1995 d2.dn_loss_iou: 0.2612 d3.dn_loss_cls: 0.0964 d3.dn_loss_bbox: 0.1887 d3.dn_loss_iou: 0.2528 d4.dn_loss_cls: 0.0910 d4.dn_loss_bbox: 0.1876 d4.dn_loss_iou: 0.2511 d1.loss_lmm_region: 0.1379 loss_lmm_image: 0.7905 2024/11/03 14:49:02 - mmengine - INFO - Iter(train) [ 90200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:32:54 time: 0.9735 data_time: 0.0186 memory: 21363 grad_norm: 25.4317 loss: 10.9556 loss_cls: 0.3914 loss_bbox: 0.1724 loss_iou: 0.3386 d0.loss_cls: 0.4337 d0.loss_bbox: 0.1928 d0.loss_iou: 0.3607 d1.loss_cls: 0.4140 d1.loss_bbox: 0.1808 d1.loss_iou: 0.3505 d2.loss_cls: 0.4100 d2.loss_bbox: 0.1728 d2.loss_iou: 0.3368 d3.loss_cls: 0.4001 d3.loss_bbox: 0.1722 d3.loss_iou: 0.3405 d4.loss_cls: 0.3943 d4.loss_bbox: 0.1730 d4.loss_iou: 0.3399 enc_loss_cls: 0.4570 enc_loss_bbox: 0.2059 enc_loss_iou: 0.3866 dn_loss_cls: 0.0824 dn_loss_bbox: 0.1504 dn_loss_iou: 0.2310 d0.dn_loss_cls: 0.1717 d0.dn_loss_bbox: 0.3035 d0.dn_loss_iou: 0.3886 d1.dn_loss_cls: 0.1172 d1.dn_loss_bbox: 0.1878 d1.dn_loss_iou: 0.2713 d2.dn_loss_cls: 0.0977 d2.dn_loss_bbox: 0.1617 d2.dn_loss_iou: 0.2429 d3.dn_loss_cls: 0.0887 d3.dn_loss_bbox: 0.1516 d3.dn_loss_iou: 0.2328 d4.dn_loss_cls: 0.0845 d4.dn_loss_bbox: 0.1505 d4.dn_loss_iou: 0.2311 d1.loss_lmm_region: 0.1676 loss_lmm_image: 0.8188 2024/11/03 14:50:39 - mmengine - INFO - Iter(train) [ 90300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:31:13 time: 0.9720 data_time: 0.0186 memory: 22379 grad_norm: 20.3111 loss: 10.3285 loss_cls: 0.3429 loss_bbox: 0.1696 loss_iou: 0.2955 d0.loss_cls: 0.3837 d0.loss_bbox: 0.1884 d0.loss_iou: 0.3203 d1.loss_cls: 0.3624 d1.loss_bbox: 0.1834 d1.loss_iou: 0.3114 d2.loss_cls: 0.3509 d2.loss_bbox: 0.1758 d2.loss_iou: 0.2993 d3.loss_cls: 0.3489 d3.loss_bbox: 0.1731 d3.loss_iou: 0.2964 d4.loss_cls: 0.3440 d4.loss_bbox: 0.1702 d4.loss_iou: 0.2951 enc_loss_cls: 0.4059 enc_loss_bbox: 0.2014 enc_loss_iou: 0.3469 dn_loss_cls: 0.0734 dn_loss_bbox: 0.1836 dn_loss_iou: 0.2166 d0.dn_loss_cls: 0.1579 d0.dn_loss_bbox: 0.3505 d0.dn_loss_iou: 0.3712 d1.dn_loss_cls: 0.1016 d1.dn_loss_bbox: 0.2226 d1.dn_loss_iou: 0.2532 d2.dn_loss_cls: 0.0854 d2.dn_loss_bbox: 0.1941 d2.dn_loss_iou: 0.2259 d3.dn_loss_cls: 0.0783 d3.dn_loss_bbox: 0.1863 d3.dn_loss_iou: 0.2188 d4.dn_loss_cls: 0.0737 d4.dn_loss_bbox: 0.1836 d4.dn_loss_iou: 0.2164 d1.loss_lmm_region: 0.1411 loss_lmm_image: 0.8290 2024/11/03 14:52:16 - mmengine - INFO - Iter(train) [ 90400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:29:31 time: 0.9652 data_time: 0.0186 memory: 20847 grad_norm: 22.3228 loss: 9.0979 loss_cls: 0.2602 loss_bbox: 0.1443 loss_iou: 0.2712 d0.loss_cls: 0.2963 d0.loss_bbox: 0.1588 d0.loss_iou: 0.2895 d1.loss_cls: 0.2826 d1.loss_bbox: 0.1464 d1.loss_iou: 0.2768 d2.loss_cls: 0.2749 d2.loss_bbox: 0.1455 d2.loss_iou: 0.2733 d3.loss_cls: 0.2699 d3.loss_bbox: 0.1443 d3.loss_iou: 0.2707 d4.loss_cls: 0.2629 d4.loss_bbox: 0.1452 d4.loss_iou: 0.2722 enc_loss_cls: 0.3154 enc_loss_bbox: 0.1695 enc_loss_iou: 0.3075 dn_loss_cls: 0.0693 dn_loss_bbox: 0.1542 dn_loss_iou: 0.2163 d0.dn_loss_cls: 0.1545 d0.dn_loss_bbox: 0.3020 d0.dn_loss_iou: 0.3673 d1.dn_loss_cls: 0.0991 d1.dn_loss_bbox: 0.1888 d1.dn_loss_iou: 0.2501 d2.dn_loss_cls: 0.0828 d2.dn_loss_bbox: 0.1637 d2.dn_loss_iou: 0.2265 d3.dn_loss_cls: 0.0741 d3.dn_loss_bbox: 0.1554 d3.dn_loss_iou: 0.2183 d4.dn_loss_cls: 0.0704 d4.dn_loss_bbox: 0.1542 d4.dn_loss_iou: 0.2162 d1.loss_lmm_region: 0.1276 loss_lmm_image: 0.8296 2024/11/03 14:53:52 - mmengine - INFO - Iter(train) [ 90500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:27:49 time: 0.9586 data_time: 0.0185 memory: 20457 grad_norm: 21.1660 loss: 8.6328 loss_cls: 0.2371 loss_bbox: 0.1435 loss_iou: 0.2483 d0.loss_cls: 0.2697 d0.loss_bbox: 0.1509 d0.loss_iou: 0.2595 d1.loss_cls: 0.2587 d1.loss_bbox: 0.1459 d1.loss_iou: 0.2490 d2.loss_cls: 0.2502 d2.loss_bbox: 0.1428 d2.loss_iou: 0.2474 d3.loss_cls: 0.2401 d3.loss_bbox: 0.1449 d3.loss_iou: 0.2481 d4.loss_cls: 0.2379 d4.loss_bbox: 0.1445 d4.loss_iou: 0.2488 enc_loss_cls: 0.2870 enc_loss_bbox: 0.1710 enc_loss_iou: 0.2772 dn_loss_cls: 0.0675 dn_loss_bbox: 0.1578 dn_loss_iou: 0.2087 d0.dn_loss_cls: 0.1441 d0.dn_loss_bbox: 0.3102 d0.dn_loss_iou: 0.3542 d1.dn_loss_cls: 0.0941 d1.dn_loss_bbox: 0.1901 d1.dn_loss_iou: 0.2399 d2.dn_loss_cls: 0.0804 d2.dn_loss_bbox: 0.1667 d2.dn_loss_iou: 0.2172 d3.dn_loss_cls: 0.0719 d3.dn_loss_bbox: 0.1600 d3.dn_loss_iou: 0.2102 d4.dn_loss_cls: 0.0684 d4.dn_loss_bbox: 0.1578 d4.dn_loss_iou: 0.2087 d1.loss_lmm_region: 0.1153 loss_lmm_image: 0.8071 2024/11/03 14:55:29 - mmengine - INFO - Iter(train) [ 90600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:26:08 time: 0.9696 data_time: 0.0185 memory: 20941 grad_norm: 22.0371 loss: 9.8535 loss_cls: 0.2988 loss_bbox: 0.1479 loss_iou: 0.2969 d0.loss_cls: 0.3332 d0.loss_bbox: 0.1635 d0.loss_iou: 0.3120 d1.loss_cls: 0.3193 d1.loss_bbox: 0.1488 d1.loss_iou: 0.3007 d2.loss_cls: 0.3050 d2.loss_bbox: 0.1504 d2.loss_iou: 0.3006 d3.loss_cls: 0.3057 d3.loss_bbox: 0.1485 d3.loss_iou: 0.2976 d4.loss_cls: 0.3024 d4.loss_bbox: 0.1459 d4.loss_iou: 0.2971 enc_loss_cls: 0.3524 enc_loss_bbox: 0.1678 enc_loss_iou: 0.3260 dn_loss_cls: 0.0790 dn_loss_bbox: 0.1715 dn_loss_iou: 0.2515 d0.dn_loss_cls: 0.1650 d0.dn_loss_bbox: 0.3105 d0.dn_loss_iou: 0.3976 d1.dn_loss_cls: 0.1138 d1.dn_loss_bbox: 0.2029 d1.dn_loss_iou: 0.2839 d2.dn_loss_cls: 0.0960 d2.dn_loss_bbox: 0.1801 d2.dn_loss_iou: 0.2606 d3.dn_loss_cls: 0.0857 d3.dn_loss_bbox: 0.1724 d3.dn_loss_iou: 0.2527 d4.dn_loss_cls: 0.0797 d4.dn_loss_bbox: 0.1714 d4.dn_loss_iou: 0.2515 d1.loss_lmm_region: 0.1362 loss_lmm_image: 0.7709 2024/11/03 14:57:05 - mmengine - INFO - Iter(train) [ 90700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:24:26 time: 0.9725 data_time: 0.0185 memory: 21092 grad_norm: 19.5081 loss: 9.6695 loss_cls: 0.2853 loss_bbox: 0.1460 loss_iou: 0.2658 d0.loss_cls: 0.3244 d0.loss_bbox: 0.1590 d0.loss_iou: 0.2885 d1.loss_cls: 0.3082 d1.loss_bbox: 0.1471 d1.loss_iou: 0.2730 d2.loss_cls: 0.3025 d2.loss_bbox: 0.1423 d2.loss_iou: 0.2681 d3.loss_cls: 0.2937 d3.loss_bbox: 0.1453 d3.loss_iou: 0.2673 d4.loss_cls: 0.2917 d4.loss_bbox: 0.1447 d4.loss_iou: 0.2659 enc_loss_cls: 0.3417 enc_loss_bbox: 0.1764 enc_loss_iou: 0.3115 dn_loss_cls: 0.0753 dn_loss_bbox: 0.1965 dn_loss_iou: 0.2317 d0.dn_loss_cls: 0.1645 d0.dn_loss_bbox: 0.3771 d0.dn_loss_iou: 0.3900 d1.dn_loss_cls: 0.1042 d1.dn_loss_bbox: 0.2377 d1.dn_loss_iou: 0.2665 d2.dn_loss_cls: 0.0884 d2.dn_loss_bbox: 0.2096 d2.dn_loss_iou: 0.2418 d3.dn_loss_cls: 0.0796 d3.dn_loss_bbox: 0.1987 d3.dn_loss_iou: 0.2336 d4.dn_loss_cls: 0.0764 d4.dn_loss_bbox: 0.1965 d4.dn_loss_iou: 0.2317 d1.loss_lmm_region: 0.1211 loss_lmm_image: 0.8004 2024/11/03 14:58:42 - mmengine - INFO - Iter(train) [ 90800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:22:45 time: 0.9633 data_time: 0.0186 memory: 21583 grad_norm: 22.9309 loss: 9.8824 loss_cls: 0.3356 loss_bbox: 0.1520 loss_iou: 0.2775 d0.loss_cls: 0.3693 d0.loss_bbox: 0.1676 d0.loss_iou: 0.2940 d1.loss_cls: 0.3504 d1.loss_bbox: 0.1581 d1.loss_iou: 0.2846 d2.loss_cls: 0.3414 d2.loss_bbox: 0.1499 d2.loss_iou: 0.2792 d3.loss_cls: 0.3405 d3.loss_bbox: 0.1520 d3.loss_iou: 0.2797 d4.loss_cls: 0.3348 d4.loss_bbox: 0.1509 d4.loss_iou: 0.2792 enc_loss_cls: 0.3830 enc_loss_bbox: 0.1772 enc_loss_iou: 0.3140 dn_loss_cls: 0.0912 dn_loss_bbox: 0.1588 dn_loss_iou: 0.2218 d0.dn_loss_cls: 0.1824 d0.dn_loss_bbox: 0.2984 d0.dn_loss_iou: 0.3651 d1.dn_loss_cls: 0.1270 d1.dn_loss_bbox: 0.1870 d1.dn_loss_iou: 0.2502 d2.dn_loss_cls: 0.1098 d2.dn_loss_bbox: 0.1637 d2.dn_loss_iou: 0.2289 d3.dn_loss_cls: 0.0996 d3.dn_loss_bbox: 0.1604 d3.dn_loss_iou: 0.2227 d4.dn_loss_cls: 0.0937 d4.dn_loss_bbox: 0.1590 d4.dn_loss_iou: 0.2217 d1.loss_lmm_region: 0.1334 loss_lmm_image: 0.8368 2024/11/03 15:00:19 - mmengine - INFO - Iter(train) [ 90900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:21:03 time: 0.9590 data_time: 0.0185 memory: 20971 grad_norm: 23.5451 loss: 9.8149 loss_cls: 0.3096 loss_bbox: 0.1431 loss_iou: 0.2736 d0.loss_cls: 0.3447 d0.loss_bbox: 0.1579 d0.loss_iou: 0.2912 d1.loss_cls: 0.3244 d1.loss_bbox: 0.1505 d1.loss_iou: 0.2818 d2.loss_cls: 0.3204 d2.loss_bbox: 0.1439 d2.loss_iou: 0.2781 d3.loss_cls: 0.3128 d3.loss_bbox: 0.1453 d3.loss_iou: 0.2749 d4.loss_cls: 0.3123 d4.loss_bbox: 0.1415 d4.loss_iou: 0.2738 enc_loss_cls: 0.3593 enc_loss_bbox: 0.1793 enc_loss_iou: 0.3152 dn_loss_cls: 0.0817 dn_loss_bbox: 0.1810 dn_loss_iou: 0.2350 d0.dn_loss_cls: 0.1789 d0.dn_loss_bbox: 0.3246 d0.dn_loss_iou: 0.3872 d1.dn_loss_cls: 0.1194 d1.dn_loss_bbox: 0.2216 d1.dn_loss_iou: 0.2746 d2.dn_loss_cls: 0.1004 d2.dn_loss_bbox: 0.1935 d2.dn_loss_iou: 0.2468 d3.dn_loss_cls: 0.0892 d3.dn_loss_bbox: 0.1834 d3.dn_loss_iou: 0.2373 d4.dn_loss_cls: 0.0826 d4.dn_loss_bbox: 0.1811 d4.dn_loss_iou: 0.2352 d1.loss_lmm_region: 0.1375 loss_lmm_image: 0.7906 2024/11/03 15:01:55 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 15:01:55 - mmengine - INFO - Iter(train) [ 91000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:19:21 time: 0.9595 data_time: 0.0186 memory: 21454 grad_norm: 20.8935 loss: 10.1901 loss_cls: 0.3114 loss_bbox: 0.1618 loss_iou: 0.2725 d0.loss_cls: 0.3420 d0.loss_bbox: 0.1742 d0.loss_iou: 0.2873 d1.loss_cls: 0.3306 d1.loss_bbox: 0.1655 d1.loss_iou: 0.2769 d2.loss_cls: 0.3269 d2.loss_bbox: 0.1606 d2.loss_iou: 0.2714 d3.loss_cls: 0.3174 d3.loss_bbox: 0.1595 d3.loss_iou: 0.2702 d4.loss_cls: 0.3151 d4.loss_bbox: 0.1609 d4.loss_iou: 0.2715 enc_loss_cls: 0.3639 enc_loss_bbox: 0.1901 enc_loss_iou: 0.3136 dn_loss_cls: 0.1137 dn_loss_bbox: 0.1924 dn_loss_iou: 0.2340 d0.dn_loss_cls: 0.1953 d0.dn_loss_bbox: 0.3582 d0.dn_loss_iou: 0.3904 d1.dn_loss_cls: 0.1403 d1.dn_loss_bbox: 0.2253 d1.dn_loss_iou: 0.2669 d2.dn_loss_cls: 0.1244 d2.dn_loss_bbox: 0.1974 d2.dn_loss_iou: 0.2411 d3.dn_loss_cls: 0.1200 d3.dn_loss_bbox: 0.1933 d3.dn_loss_iou: 0.2353 d4.dn_loss_cls: 0.1126 d4.dn_loss_bbox: 0.1925 d4.dn_loss_iou: 0.2340 d1.loss_lmm_region: 0.1493 loss_lmm_image: 0.8302 2024/11/03 15:03:33 - mmengine - INFO - Iter(train) [ 91100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:17:40 time: 0.9765 data_time: 0.0186 memory: 21233 grad_norm: 23.1283 loss: 8.9222 loss_cls: 0.2941 loss_bbox: 0.1139 loss_iou: 0.2122 d0.loss_cls: 0.3287 d0.loss_bbox: 0.1222 d0.loss_iou: 0.2303 d1.loss_cls: 0.3141 d1.loss_bbox: 0.1163 d1.loss_iou: 0.2182 d2.loss_cls: 0.3076 d2.loss_bbox: 0.1157 d2.loss_iou: 0.2153 d3.loss_cls: 0.3008 d3.loss_bbox: 0.1144 d3.loss_iou: 0.2120 d4.loss_cls: 0.2956 d4.loss_bbox: 0.1133 d4.loss_iou: 0.2120 enc_loss_cls: 0.3462 enc_loss_bbox: 0.1384 enc_loss_iou: 0.2479 dn_loss_cls: 0.1175 dn_loss_bbox: 0.1711 dn_loss_iou: 0.2101 d0.dn_loss_cls: 0.1865 d0.dn_loss_bbox: 0.3223 d0.dn_loss_iou: 0.3619 d1.dn_loss_cls: 0.1406 d1.dn_loss_bbox: 0.1998 d1.dn_loss_iou: 0.2416 d2.dn_loss_cls: 0.1271 d2.dn_loss_bbox: 0.1815 d2.dn_loss_iou: 0.2192 d3.dn_loss_cls: 0.1217 d3.dn_loss_bbox: 0.1732 d3.dn_loss_iou: 0.2115 d4.dn_loss_cls: 0.1199 d4.dn_loss_bbox: 0.1713 d4.dn_loss_iou: 0.2103 d1.loss_lmm_region: 0.1122 loss_lmm_image: 0.7535 2024/11/03 15:05:09 - mmengine - INFO - Iter(train) [ 91200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:15:59 time: 0.9720 data_time: 0.0185 memory: 20781 grad_norm: 21.1345 loss: 9.5276 loss_cls: 0.3032 loss_bbox: 0.1572 loss_iou: 0.2880 d0.loss_cls: 0.3322 d0.loss_bbox: 0.1698 d0.loss_iou: 0.3022 d1.loss_cls: 0.3196 d1.loss_bbox: 0.1586 d1.loss_iou: 0.2922 d2.loss_cls: 0.3126 d2.loss_bbox: 0.1598 d2.loss_iou: 0.2901 d3.loss_cls: 0.3068 d3.loss_bbox: 0.1595 d3.loss_iou: 0.2909 d4.loss_cls: 0.3025 d4.loss_bbox: 0.1590 d4.loss_iou: 0.2900 enc_loss_cls: 0.3570 enc_loss_bbox: 0.1809 enc_loss_iou: 0.3248 dn_loss_cls: 0.0829 dn_loss_bbox: 0.1499 dn_loss_iou: 0.2142 d0.dn_loss_cls: 0.1649 d0.dn_loss_bbox: 0.2948 d0.dn_loss_iou: 0.3582 d1.dn_loss_cls: 0.1135 d1.dn_loss_bbox: 0.1806 d1.dn_loss_iou: 0.2469 d2.dn_loss_cls: 0.0971 d2.dn_loss_bbox: 0.1579 d2.dn_loss_iou: 0.2232 d3.dn_loss_cls: 0.0886 d3.dn_loss_bbox: 0.1508 d3.dn_loss_iou: 0.2153 d4.dn_loss_cls: 0.0849 d4.dn_loss_bbox: 0.1499 d4.dn_loss_iou: 0.2141 d1.loss_lmm_region: 0.1269 loss_lmm_image: 0.7562 2024/11/03 15:06:45 - mmengine - INFO - Iter(train) [ 91300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:14:17 time: 0.9527 data_time: 0.0186 memory: 20729 grad_norm: 21.9486 loss: 9.4229 loss_cls: 0.2928 loss_bbox: 0.1506 loss_iou: 0.2657 d0.loss_cls: 0.3370 d0.loss_bbox: 0.1592 d0.loss_iou: 0.2838 d1.loss_cls: 0.3126 d1.loss_bbox: 0.1547 d1.loss_iou: 0.2756 d2.loss_cls: 0.3060 d2.loss_bbox: 0.1480 d2.loss_iou: 0.2658 d3.loss_cls: 0.2981 d3.loss_bbox: 0.1484 d3.loss_iou: 0.2666 d4.loss_cls: 0.2975 d4.loss_bbox: 0.1472 d4.loss_iou: 0.2637 enc_loss_cls: 0.3597 enc_loss_bbox: 0.1751 enc_loss_iou: 0.3093 dn_loss_cls: 0.0863 dn_loss_bbox: 0.1594 dn_loss_iou: 0.2122 d0.dn_loss_cls: 0.1765 d0.dn_loss_bbox: 0.2975 d0.dn_loss_iou: 0.3498 d1.dn_loss_cls: 0.1234 d1.dn_loss_bbox: 0.1863 d1.dn_loss_iou: 0.2413 d2.dn_loss_cls: 0.1068 d2.dn_loss_bbox: 0.1652 d2.dn_loss_iou: 0.2186 d3.dn_loss_cls: 0.0923 d3.dn_loss_bbox: 0.1598 d3.dn_loss_iou: 0.2131 d4.dn_loss_cls: 0.0891 d4.dn_loss_bbox: 0.1595 d4.dn_loss_iou: 0.2122 d1.loss_lmm_region: 0.1204 loss_lmm_image: 0.8357 2024/11/03 15:08:22 - mmengine - INFO - Iter(train) [ 91400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:12:36 time: 0.9682 data_time: 0.0186 memory: 20642 grad_norm: 24.4699 loss: 8.9995 loss_cls: 0.2693 loss_bbox: 0.1275 loss_iou: 0.2150 d0.loss_cls: 0.2944 d0.loss_bbox: 0.1423 d0.loss_iou: 0.2278 d1.loss_cls: 0.2850 d1.loss_bbox: 0.1320 d1.loss_iou: 0.2184 d2.loss_cls: 0.2719 d2.loss_bbox: 0.1309 d2.loss_iou: 0.2174 d3.loss_cls: 0.2685 d3.loss_bbox: 0.1289 d3.loss_iou: 0.2162 d4.loss_cls: 0.2686 d4.loss_bbox: 0.1285 d4.loss_iou: 0.2169 enc_loss_cls: 0.3117 enc_loss_bbox: 0.1533 enc_loss_iou: 0.2462 dn_loss_cls: 0.0991 dn_loss_bbox: 0.1823 dn_loss_iou: 0.2133 d0.dn_loss_cls: 0.1915 d0.dn_loss_bbox: 0.3700 d0.dn_loss_iou: 0.3702 d1.dn_loss_cls: 0.1324 d1.dn_loss_bbox: 0.2185 d1.dn_loss_iou: 0.2472 d2.dn_loss_cls: 0.1160 d2.dn_loss_bbox: 0.1904 d2.dn_loss_iou: 0.2213 d3.dn_loss_cls: 0.1047 d3.dn_loss_bbox: 0.1842 d3.dn_loss_iou: 0.2145 d4.dn_loss_cls: 0.1010 d4.dn_loss_bbox: 0.1824 d4.dn_loss_iou: 0.2134 d1.loss_lmm_region: 0.1422 loss_lmm_image: 0.8340 2024/11/03 15:10:00 - mmengine - INFO - Iter(train) [ 91500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:10:55 time: 0.9651 data_time: 0.0186 memory: 20589 grad_norm: nan loss: 8.7638 loss_cls: 0.2570 loss_bbox: 0.1312 loss_iou: 0.2352 d0.loss_cls: 0.2910 d0.loss_bbox: 0.1428 d0.loss_iou: 0.2491 d1.loss_cls: 0.2736 d1.loss_bbox: 0.1328 d1.loss_iou: 0.2380 d2.loss_cls: 0.2637 d2.loss_bbox: 0.1311 d2.loss_iou: 0.2369 d3.loss_cls: 0.2600 d3.loss_bbox: 0.1323 d3.loss_iou: 0.2361 d4.loss_cls: 0.2551 d4.loss_bbox: 0.1331 d4.loss_iou: 0.2361 enc_loss_cls: 0.3083 enc_loss_bbox: 0.1593 enc_loss_iou: 0.2712 dn_loss_cls: 0.0839 dn_loss_bbox: 0.1536 dn_loss_iou: 0.2072 d0.dn_loss_cls: 0.1635 d0.dn_loss_bbox: 0.3097 d0.dn_loss_iou: 0.3586 d1.dn_loss_cls: 0.1102 d1.dn_loss_bbox: 0.1907 d1.dn_loss_iou: 0.2406 d2.dn_loss_cls: 0.0968 d2.dn_loss_bbox: 0.1654 d2.dn_loss_iou: 0.2170 d3.dn_loss_cls: 0.0875 d3.dn_loss_bbox: 0.1556 d3.dn_loss_iou: 0.2086 d4.dn_loss_cls: 0.0839 d4.dn_loss_bbox: 0.1535 d4.dn_loss_iou: 0.2071 d1.loss_lmm_region: 0.1256 loss_lmm_image: 0.8708 2024/11/03 15:11:37 - mmengine - INFO - Iter(train) [ 91600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:09:13 time: 0.9684 data_time: 0.0185 memory: 20413 grad_norm: 23.7915 loss: 9.3156 loss_cls: 0.3167 loss_bbox: 0.1408 loss_iou: 0.2594 d0.loss_cls: 0.3487 d0.loss_bbox: 0.1565 d0.loss_iou: 0.2762 d1.loss_cls: 0.3382 d1.loss_bbox: 0.1495 d1.loss_iou: 0.2664 d2.loss_cls: 0.3299 d2.loss_bbox: 0.1423 d2.loss_iou: 0.2615 d3.loss_cls: 0.3266 d3.loss_bbox: 0.1402 d3.loss_iou: 0.2573 d4.loss_cls: 0.3219 d4.loss_bbox: 0.1386 d4.loss_iou: 0.2583 enc_loss_cls: 0.3746 enc_loss_bbox: 0.1616 enc_loss_iou: 0.2915 dn_loss_cls: 0.1044 dn_loss_bbox: 0.1418 dn_loss_iou: 0.1955 d0.dn_loss_cls: 0.1801 d0.dn_loss_bbox: 0.2828 d0.dn_loss_iou: 0.3326 d1.dn_loss_cls: 0.1299 d1.dn_loss_bbox: 0.1768 d1.dn_loss_iou: 0.2299 d2.dn_loss_cls: 0.1157 d2.dn_loss_bbox: 0.1483 d2.dn_loss_iou: 0.2039 d3.dn_loss_cls: 0.1098 d3.dn_loss_bbox: 0.1432 d3.dn_loss_iou: 0.1969 d4.dn_loss_cls: 0.1068 d4.dn_loss_bbox: 0.1419 d4.dn_loss_iou: 0.1955 d1.loss_lmm_region: 0.1242 loss_lmm_image: 0.7989 2024/11/03 15:13:13 - mmengine - INFO - Iter(train) [ 91700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:07:32 time: 0.9583 data_time: 0.0185 memory: 21197 grad_norm: 20.6514 loss: 9.9905 loss_cls: 0.2846 loss_bbox: 0.1630 loss_iou: 0.2721 d0.loss_cls: 0.3182 d0.loss_bbox: 0.1740 d0.loss_iou: 0.2938 d1.loss_cls: 0.2994 d1.loss_bbox: 0.1657 d1.loss_iou: 0.2810 d2.loss_cls: 0.2892 d2.loss_bbox: 0.1670 d2.loss_iou: 0.2765 d3.loss_cls: 0.2875 d3.loss_bbox: 0.1640 d3.loss_iou: 0.2728 d4.loss_cls: 0.2845 d4.loss_bbox: 0.1629 d4.loss_iou: 0.2717 enc_loss_cls: 0.3381 enc_loss_bbox: 0.1865 enc_loss_iou: 0.3116 dn_loss_cls: 0.0822 dn_loss_bbox: 0.2029 dn_loss_iou: 0.2544 d0.dn_loss_cls: 0.1838 d0.dn_loss_bbox: 0.3902 d0.dn_loss_iou: 0.4212 d1.dn_loss_cls: 0.1178 d1.dn_loss_bbox: 0.2430 d1.dn_loss_iou: 0.2885 d2.dn_loss_cls: 0.0970 d2.dn_loss_bbox: 0.2155 d2.dn_loss_iou: 0.2629 d3.dn_loss_cls: 0.0863 d3.dn_loss_bbox: 0.2054 d3.dn_loss_iou: 0.2562 d4.dn_loss_cls: 0.0832 d4.dn_loss_bbox: 0.2030 d4.dn_loss_iou: 0.2543 d1.loss_lmm_region: 0.1316 loss_lmm_image: 0.7471 2024/11/03 15:14:51 - mmengine - INFO - Iter(train) [ 91800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:05:51 time: 0.9734 data_time: 0.0183 memory: 20272 grad_norm: 21.5937 loss: 8.5716 loss_cls: 0.2594 loss_bbox: 0.1131 loss_iou: 0.2523 d0.loss_cls: 0.2949 d0.loss_bbox: 0.1234 d0.loss_iou: 0.2663 d1.loss_cls: 0.2800 d1.loss_bbox: 0.1187 d1.loss_iou: 0.2617 d2.loss_cls: 0.2681 d2.loss_bbox: 0.1169 d2.loss_iou: 0.2583 d3.loss_cls: 0.2644 d3.loss_bbox: 0.1136 d3.loss_iou: 0.2551 d4.loss_cls: 0.2589 d4.loss_bbox: 0.1144 d4.loss_iou: 0.2536 enc_loss_cls: 0.3067 enc_loss_bbox: 0.1412 enc_loss_iou: 0.2907 dn_loss_cls: 0.0871 dn_loss_bbox: 0.1317 dn_loss_iou: 0.2163 d0.dn_loss_cls: 0.1435 d0.dn_loss_bbox: 0.2602 d0.dn_loss_iou: 0.3524 d1.dn_loss_cls: 0.0943 d1.dn_loss_bbox: 0.1634 d1.dn_loss_iou: 0.2460 d2.dn_loss_cls: 0.0879 d2.dn_loss_bbox: 0.1408 d2.dn_loss_iou: 0.2243 d3.dn_loss_cls: 0.0855 d3.dn_loss_bbox: 0.1330 d3.dn_loss_iou: 0.2175 d4.dn_loss_cls: 0.0862 d4.dn_loss_bbox: 0.1317 d4.dn_loss_iou: 0.2162 d1.loss_lmm_region: 0.1244 loss_lmm_image: 0.8175 2024/11/03 15:16:27 - mmengine - INFO - Iter(train) [ 91900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:04:09 time: 0.9659 data_time: 0.0186 memory: 20385 grad_norm: 23.1627 loss: 9.3688 loss_cls: 0.2840 loss_bbox: 0.1468 loss_iou: 0.2469 d0.loss_cls: 0.3099 d0.loss_bbox: 0.1712 d0.loss_iou: 0.2681 d1.loss_cls: 0.2904 d1.loss_bbox: 0.1595 d1.loss_iou: 0.2556 d2.loss_cls: 0.2874 d2.loss_bbox: 0.1524 d2.loss_iou: 0.2514 d3.loss_cls: 0.2886 d3.loss_bbox: 0.1461 d3.loss_iou: 0.2461 d4.loss_cls: 0.2847 d4.loss_bbox: 0.1478 d4.loss_iou: 0.2477 enc_loss_cls: 0.3262 enc_loss_bbox: 0.1813 enc_loss_iou: 0.2856 dn_loss_cls: 0.0906 dn_loss_bbox: 0.1653 dn_loss_iou: 0.2240 d0.dn_loss_cls: 0.1801 d0.dn_loss_bbox: 0.3260 d0.dn_loss_iou: 0.3749 d1.dn_loss_cls: 0.1269 d1.dn_loss_bbox: 0.2042 d1.dn_loss_iou: 0.2596 d2.dn_loss_cls: 0.1041 d2.dn_loss_bbox: 0.1773 d2.dn_loss_iou: 0.2350 d3.dn_loss_cls: 0.0934 d3.dn_loss_bbox: 0.1679 d3.dn_loss_iou: 0.2259 d4.dn_loss_cls: 0.0910 d4.dn_loss_bbox: 0.1654 d4.dn_loss_iou: 0.2240 d1.loss_lmm_region: 0.1475 loss_lmm_image: 0.8079 2024/11/03 15:18:04 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 15:18:04 - mmengine - INFO - Iter(train) [ 92000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:02:28 time: 0.9685 data_time: 0.0185 memory: 21052 grad_norm: 20.2695 loss: 9.2332 loss_cls: 0.3167 loss_bbox: 0.1267 loss_iou: 0.2981 d0.loss_cls: 0.3583 d0.loss_bbox: 0.1331 d0.loss_iou: 0.3067 d1.loss_cls: 0.3362 d1.loss_bbox: 0.1277 d1.loss_iou: 0.2958 d2.loss_cls: 0.3296 d2.loss_bbox: 0.1244 d2.loss_iou: 0.2919 d3.loss_cls: 0.3238 d3.loss_bbox: 0.1267 d3.loss_iou: 0.2956 d4.loss_cls: 0.3169 d4.loss_bbox: 0.1287 d4.loss_iou: 0.2979 enc_loss_cls: 0.3671 enc_loss_bbox: 0.1561 enc_loss_iou: 0.3372 dn_loss_cls: 0.0745 dn_loss_bbox: 0.1265 dn_loss_iou: 0.2097 d0.dn_loss_cls: 0.1501 d0.dn_loss_bbox: 0.2462 d0.dn_loss_iou: 0.3427 d1.dn_loss_cls: 0.0967 d1.dn_loss_bbox: 0.1491 d1.dn_loss_iou: 0.2360 d2.dn_loss_cls: 0.0835 d2.dn_loss_bbox: 0.1336 d2.dn_loss_iou: 0.2174 d3.dn_loss_cls: 0.0760 d3.dn_loss_bbox: 0.1270 d3.dn_loss_iou: 0.2105 d4.dn_loss_cls: 0.0760 d4.dn_loss_bbox: 0.1265 d4.dn_loss_iou: 0.2097 d1.loss_lmm_region: 0.1131 loss_lmm_image: 0.8332 2024/11/03 15:19:41 - mmengine - INFO - Iter(train) [ 92100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:00:47 time: 0.9776 data_time: 0.0185 memory: 20859 grad_norm: 21.8115 loss: 8.7626 loss_cls: 0.2465 loss_bbox: 0.1360 loss_iou: 0.2221 d0.loss_cls: 0.2767 d0.loss_bbox: 0.1502 d0.loss_iou: 0.2377 d1.loss_cls: 0.2605 d1.loss_bbox: 0.1383 d1.loss_iou: 0.2284 d2.loss_cls: 0.2579 d2.loss_bbox: 0.1366 d2.loss_iou: 0.2225 d3.loss_cls: 0.2516 d3.loss_bbox: 0.1340 d3.loss_iou: 0.2212 d4.loss_cls: 0.2448 d4.loss_bbox: 0.1364 d4.loss_iou: 0.2226 enc_loss_cls: 0.2957 enc_loss_bbox: 0.1579 enc_loss_iou: 0.2532 dn_loss_cls: 0.0924 dn_loss_bbox: 0.1650 dn_loss_iou: 0.2144 d0.dn_loss_cls: 0.1761 d0.dn_loss_bbox: 0.3430 d0.dn_loss_iou: 0.3800 d1.dn_loss_cls: 0.1215 d1.dn_loss_bbox: 0.2074 d1.dn_loss_iou: 0.2524 d2.dn_loss_cls: 0.1054 d2.dn_loss_bbox: 0.1764 d2.dn_loss_iou: 0.2233 d3.dn_loss_cls: 0.0949 d3.dn_loss_bbox: 0.1669 d3.dn_loss_iou: 0.2161 d4.dn_loss_cls: 0.0922 d4.dn_loss_bbox: 0.1651 d4.dn_loss_iou: 0.2145 d1.loss_lmm_region: 0.1225 loss_lmm_image: 0.8026 2024/11/03 15:21:19 - mmengine - INFO - Iter(train) [ 92200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:59:07 time: 0.9795 data_time: 0.0185 memory: 20289 grad_norm: 24.2352 loss: 8.2206 loss_cls: 0.2568 loss_bbox: 0.1162 loss_iou: 0.2029 d0.loss_cls: 0.2826 d0.loss_bbox: 0.1291 d0.loss_iou: 0.2206 d1.loss_cls: 0.2745 d1.loss_bbox: 0.1162 d1.loss_iou: 0.2060 d2.loss_cls: 0.2702 d2.loss_bbox: 0.1110 d2.loss_iou: 0.2000 d3.loss_cls: 0.2647 d3.loss_bbox: 0.1124 d3.loss_iou: 0.2010 d4.loss_cls: 0.2566 d4.loss_bbox: 0.1165 d4.loss_iou: 0.2019 enc_loss_cls: 0.3033 enc_loss_bbox: 0.1412 enc_loss_iou: 0.2401 dn_loss_cls: 0.0776 dn_loss_bbox: 0.1491 dn_loss_iou: 0.1964 d0.dn_loss_cls: 0.1592 d0.dn_loss_bbox: 0.2996 d0.dn_loss_iou: 0.3427 d1.dn_loss_cls: 0.1046 d1.dn_loss_bbox: 0.1817 d1.dn_loss_iou: 0.2290 d2.dn_loss_cls: 0.0897 d2.dn_loss_bbox: 0.1582 d2.dn_loss_iou: 0.2045 d3.dn_loss_cls: 0.0809 d3.dn_loss_bbox: 0.1502 d3.dn_loss_iou: 0.1976 d4.dn_loss_cls: 0.0785 d4.dn_loss_bbox: 0.1491 d4.dn_loss_iou: 0.1962 d1.loss_lmm_region: 0.1314 loss_lmm_image: 0.8205 2024/11/03 15:22:56 - mmengine - INFO - Iter(train) [ 92300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:57:25 time: 0.9780 data_time: 0.0185 memory: 21070 grad_norm: 35.9935 loss: 10.0911 loss_cls: 0.3004 loss_bbox: 0.1801 loss_iou: 0.3007 d0.loss_cls: 0.3463 d0.loss_bbox: 0.1856 d0.loss_iou: 0.3047 d1.loss_cls: 0.3251 d1.loss_bbox: 0.1793 d1.loss_iou: 0.2975 d2.loss_cls: 0.3084 d2.loss_bbox: 0.1816 d2.loss_iou: 0.2997 d3.loss_cls: 0.3088 d3.loss_bbox: 0.1788 d3.loss_iou: 0.3001 d4.loss_cls: 0.3014 d4.loss_bbox: 0.1804 d4.loss_iou: 0.3008 enc_loss_cls: 0.3667 enc_loss_bbox: 0.1999 enc_loss_iou: 0.3270 dn_loss_cls: 0.0903 dn_loss_bbox: 0.1777 dn_loss_iou: 0.2331 d0.dn_loss_cls: 0.1774 d0.dn_loss_bbox: 0.3300 d0.dn_loss_iou: 0.3831 d1.dn_loss_cls: 0.1176 d1.dn_loss_bbox: 0.2084 d1.dn_loss_iou: 0.2641 d2.dn_loss_cls: 0.1051 d2.dn_loss_bbox: 0.1849 d2.dn_loss_iou: 0.2401 d3.dn_loss_cls: 0.0956 d3.dn_loss_bbox: 0.1778 d3.dn_loss_iou: 0.2340 d4.dn_loss_cls: 0.0909 d4.dn_loss_bbox: 0.1777 d4.dn_loss_iou: 0.2331 d1.loss_lmm_region: 0.1282 loss_lmm_image: 0.7688 2024/11/03 15:24:33 - mmengine - INFO - Iter(train) [ 92400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:55:44 time: 0.9638 data_time: 0.0185 memory: 20868 grad_norm: 32.5101 loss: 8.7119 loss_cls: 0.2625 loss_bbox: 0.1246 loss_iou: 0.2458 d0.loss_cls: 0.2940 d0.loss_bbox: 0.1303 d0.loss_iou: 0.2573 d1.loss_cls: 0.2810 d1.loss_bbox: 0.1275 d1.loss_iou: 0.2520 d2.loss_cls: 0.2732 d2.loss_bbox: 0.1234 d2.loss_iou: 0.2455 d3.loss_cls: 0.2686 d3.loss_bbox: 0.1220 d3.loss_iou: 0.2458 d4.loss_cls: 0.2627 d4.loss_bbox: 0.1243 d4.loss_iou: 0.2454 enc_loss_cls: 0.3086 enc_loss_bbox: 0.1498 enc_loss_iou: 0.2788 dn_loss_cls: 0.0670 dn_loss_bbox: 0.1541 dn_loss_iou: 0.2128 d0.dn_loss_cls: 0.1514 d0.dn_loss_bbox: 0.2991 d0.dn_loss_iou: 0.3645 d1.dn_loss_cls: 0.0955 d1.dn_loss_bbox: 0.1823 d1.dn_loss_iou: 0.2431 d2.dn_loss_cls: 0.0788 d2.dn_loss_bbox: 0.1606 d2.dn_loss_iou: 0.2208 d3.dn_loss_cls: 0.0706 d3.dn_loss_bbox: 0.1552 d3.dn_loss_iou: 0.2142 d4.dn_loss_cls: 0.0674 d4.dn_loss_bbox: 0.1541 d4.dn_loss_iou: 0.2130 d1.loss_lmm_region: 0.1226 loss_lmm_image: 0.8613 2024/11/03 15:26:10 - mmengine - INFO - Iter(train) [ 92500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:54:03 time: 0.9732 data_time: 0.0185 memory: 21245 grad_norm: 28.5570 loss: 10.5184 loss_cls: 0.3161 loss_bbox: 0.1726 loss_iou: 0.2977 d0.loss_cls: 0.3530 d0.loss_bbox: 0.1870 d0.loss_iou: 0.3146 d1.loss_cls: 0.3373 d1.loss_bbox: 0.1746 d1.loss_iou: 0.3004 d2.loss_cls: 0.3264 d2.loss_bbox: 0.1757 d2.loss_iou: 0.3002 d3.loss_cls: 0.3224 d3.loss_bbox: 0.1733 d3.loss_iou: 0.2979 d4.loss_cls: 0.3175 d4.loss_bbox: 0.1723 d4.loss_iou: 0.2972 enc_loss_cls: 0.3767 enc_loss_bbox: 0.2048 enc_loss_iou: 0.3408 dn_loss_cls: 0.1138 dn_loss_bbox: 0.1934 dn_loss_iou: 0.2430 d0.dn_loss_cls: 0.1894 d0.dn_loss_bbox: 0.3515 d0.dn_loss_iou: 0.4031 d1.dn_loss_cls: 0.1374 d1.dn_loss_bbox: 0.2271 d1.dn_loss_iou: 0.2790 d2.dn_loss_cls: 0.1264 d2.dn_loss_bbox: 0.2036 d2.dn_loss_iou: 0.2535 d3.dn_loss_cls: 0.1177 d3.dn_loss_bbox: 0.1955 d3.dn_loss_iou: 0.2449 d4.dn_loss_cls: 0.1139 d4.dn_loss_bbox: 0.1932 d4.dn_loss_iou: 0.2428 d1.loss_lmm_region: 0.1374 loss_lmm_image: 0.7934 2024/11/03 15:27:47 - mmengine - INFO - Iter(train) [ 92600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:52:22 time: 0.9675 data_time: 0.0184 memory: 20973 grad_norm: 22.8926 loss: 8.7799 loss_cls: 0.2693 loss_bbox: 0.1304 loss_iou: 0.2596 d0.loss_cls: 0.2976 d0.loss_bbox: 0.1428 d0.loss_iou: 0.2796 d1.loss_cls: 0.2787 d1.loss_bbox: 0.1365 d1.loss_iou: 0.2700 d2.loss_cls: 0.2759 d2.loss_bbox: 0.1290 d2.loss_iou: 0.2594 d3.loss_cls: 0.2712 d3.loss_bbox: 0.1289 d3.loss_iou: 0.2604 d4.loss_cls: 0.2697 d4.loss_bbox: 0.1305 d4.loss_iou: 0.2597 enc_loss_cls: 0.3153 enc_loss_bbox: 0.1544 enc_loss_iou: 0.3013 dn_loss_cls: 0.0828 dn_loss_bbox: 0.1376 dn_loss_iou: 0.2036 d0.dn_loss_cls: 0.1653 d0.dn_loss_bbox: 0.2747 d0.dn_loss_iou: 0.3422 d1.dn_loss_cls: 0.1134 d1.dn_loss_bbox: 0.1669 d1.dn_loss_iou: 0.2347 d2.dn_loss_cls: 0.0948 d2.dn_loss_bbox: 0.1429 d2.dn_loss_iou: 0.2100 d3.dn_loss_cls: 0.0851 d3.dn_loss_bbox: 0.1380 d3.dn_loss_iou: 0.2047 d4.dn_loss_cls: 0.0828 d4.dn_loss_bbox: 0.1375 d4.dn_loss_iou: 0.2034 d1.loss_lmm_region: 0.1394 loss_lmm_image: 0.7998 2024/11/03 15:29:24 - mmengine - INFO - Iter(train) [ 92700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:50:40 time: 0.9727 data_time: 0.0184 memory: 20514 grad_norm: 22.4084 loss: 10.3869 loss_cls: 0.2937 loss_bbox: 0.1766 loss_iou: 0.2931 d0.loss_cls: 0.3267 d0.loss_bbox: 0.1927 d0.loss_iou: 0.3156 d1.loss_cls: 0.3083 d1.loss_bbox: 0.1834 d1.loss_iou: 0.3037 d2.loss_cls: 0.2999 d2.loss_bbox: 0.1803 d2.loss_iou: 0.2986 d3.loss_cls: 0.3015 d3.loss_bbox: 0.1754 d3.loss_iou: 0.2930 d4.loss_cls: 0.2951 d4.loss_bbox: 0.1760 d4.loss_iou: 0.2943 enc_loss_cls: 0.3435 enc_loss_bbox: 0.2094 enc_loss_iou: 0.3381 dn_loss_cls: 0.0869 dn_loss_bbox: 0.1950 dn_loss_iou: 0.2544 d0.dn_loss_cls: 0.1819 d0.dn_loss_bbox: 0.3658 d0.dn_loss_iou: 0.4153 d1.dn_loss_cls: 0.1201 d1.dn_loss_bbox: 0.2317 d1.dn_loss_iou: 0.2882 d2.dn_loss_cls: 0.1030 d2.dn_loss_bbox: 0.2040 d2.dn_loss_iou: 0.2629 d3.dn_loss_cls: 0.0958 d3.dn_loss_bbox: 0.1965 d3.dn_loss_iou: 0.2562 d4.dn_loss_cls: 0.0886 d4.dn_loss_bbox: 0.1950 d4.dn_loss_iou: 0.2544 d1.loss_lmm_region: 0.1557 loss_lmm_image: 0.8367 2024/11/03 15:31:01 - mmengine - INFO - Iter(train) [ 92800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:48:59 time: 0.9691 data_time: 0.0187 memory: 21546 grad_norm: 24.2342 loss: 9.4249 loss_cls: 0.2624 loss_bbox: 0.1367 loss_iou: 0.2486 d0.loss_cls: 0.3042 d0.loss_bbox: 0.1444 d0.loss_iou: 0.2517 d1.loss_cls: 0.2818 d1.loss_bbox: 0.1413 d1.loss_iou: 0.2534 d2.loss_cls: 0.2726 d2.loss_bbox: 0.1393 d2.loss_iou: 0.2497 d3.loss_cls: 0.2690 d3.loss_bbox: 0.1357 d3.loss_iou: 0.2468 d4.loss_cls: 0.2627 d4.loss_bbox: 0.1365 d4.loss_iou: 0.2489 enc_loss_cls: 0.3172 enc_loss_bbox: 0.1580 enc_loss_iou: 0.2760 dn_loss_cls: 0.1099 dn_loss_bbox: 0.1843 dn_loss_iou: 0.2418 d0.dn_loss_cls: 0.1921 d0.dn_loss_bbox: 0.3441 d0.dn_loss_iou: 0.4007 d1.dn_loss_cls: 0.1406 d1.dn_loss_bbox: 0.2173 d1.dn_loss_iou: 0.2752 d2.dn_loss_cls: 0.1242 d2.dn_loss_bbox: 0.1924 d2.dn_loss_iou: 0.2508 d3.dn_loss_cls: 0.1154 d3.dn_loss_bbox: 0.1862 d3.dn_loss_iou: 0.2433 d4.dn_loss_cls: 0.1112 d4.dn_loss_bbox: 0.1843 d4.dn_loss_iou: 0.2419 d1.loss_lmm_region: 0.1416 loss_lmm_image: 0.7908 2024/11/03 15:32:38 - mmengine - INFO - Iter(train) [ 92900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:47:19 time: 0.9761 data_time: 0.0184 memory: 21032 grad_norm: 24.5469 loss: 11.1468 loss_cls: 0.3630 loss_bbox: 0.1815 loss_iou: 0.3438 d0.loss_cls: 0.4045 d0.loss_bbox: 0.2015 d0.loss_iou: 0.3633 d1.loss_cls: 0.3854 d1.loss_bbox: 0.1926 d1.loss_iou: 0.3517 d2.loss_cls: 0.3789 d2.loss_bbox: 0.1824 d2.loss_iou: 0.3424 d3.loss_cls: 0.3711 d3.loss_bbox: 0.1813 d3.loss_iou: 0.3423 d4.loss_cls: 0.3646 d4.loss_bbox: 0.1823 d4.loss_iou: 0.3441 enc_loss_cls: 0.4258 enc_loss_bbox: 0.2109 enc_loss_iou: 0.3802 dn_loss_cls: 0.0859 dn_loss_bbox: 0.1865 dn_loss_iou: 0.2510 d0.dn_loss_cls: 0.1815 d0.dn_loss_bbox: 0.3333 d0.dn_loss_iou: 0.4081 d1.dn_loss_cls: 0.1281 d1.dn_loss_bbox: 0.2189 d1.dn_loss_iou: 0.2868 d2.dn_loss_cls: 0.1051 d2.dn_loss_bbox: 0.1951 d2.dn_loss_iou: 0.2608 d3.dn_loss_cls: 0.0917 d3.dn_loss_bbox: 0.1872 d3.dn_loss_iou: 0.2526 d4.dn_loss_cls: 0.0867 d4.dn_loss_bbox: 0.1864 d4.dn_loss_iou: 0.2510 d1.loss_lmm_region: 0.1564 loss_lmm_image: 0.8003 2024/11/03 15:34:15 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 15:34:15 - mmengine - INFO - Iter(train) [ 93000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:45:37 time: 0.9657 data_time: 0.0182 memory: 20312 grad_norm: 20.6169 loss: 8.6301 loss_cls: 0.2821 loss_bbox: 0.1135 loss_iou: 0.2301 d0.loss_cls: 0.3140 d0.loss_bbox: 0.1317 d0.loss_iou: 0.2555 d1.loss_cls: 0.2974 d1.loss_bbox: 0.1193 d1.loss_iou: 0.2399 d2.loss_cls: 0.2913 d2.loss_bbox: 0.1143 d2.loss_iou: 0.2321 d3.loss_cls: 0.2863 d3.loss_bbox: 0.1134 d3.loss_iou: 0.2311 d4.loss_cls: 0.2835 d4.loss_bbox: 0.1132 d4.loss_iou: 0.2307 enc_loss_cls: 0.3286 enc_loss_bbox: 0.1440 enc_loss_iou: 0.2795 dn_loss_cls: 0.0834 dn_loss_bbox: 0.1405 dn_loss_iou: 0.1984 d0.dn_loss_cls: 0.1698 d0.dn_loss_bbox: 0.2954 d0.dn_loss_iou: 0.3538 d1.dn_loss_cls: 0.1111 d1.dn_loss_bbox: 0.1771 d1.dn_loss_iou: 0.2363 d2.dn_loss_cls: 0.0932 d2.dn_loss_bbox: 0.1508 d2.dn_loss_iou: 0.2082 d3.dn_loss_cls: 0.0848 d3.dn_loss_bbox: 0.1418 d3.dn_loss_iou: 0.1998 d4.dn_loss_cls: 0.0824 d4.dn_loss_bbox: 0.1404 d4.dn_loss_iou: 0.1983 d1.loss_lmm_region: 0.1318 loss_lmm_image: 0.8013 2024/11/03 15:35:53 - mmengine - INFO - Iter(train) [ 93100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:43:56 time: 0.9721 data_time: 0.0184 memory: 20674 grad_norm: 24.4547 loss: 9.0028 loss_cls: 0.2761 loss_bbox: 0.1402 loss_iou: 0.2416 d0.loss_cls: 0.3034 d0.loss_bbox: 0.1499 d0.loss_iou: 0.2600 d1.loss_cls: 0.2974 d1.loss_bbox: 0.1428 d1.loss_iou: 0.2474 d2.loss_cls: 0.2911 d2.loss_bbox: 0.1420 d2.loss_iou: 0.2455 d3.loss_cls: 0.2814 d3.loss_bbox: 0.1401 d3.loss_iou: 0.2423 d4.loss_cls: 0.2756 d4.loss_bbox: 0.1396 d4.loss_iou: 0.2417 enc_loss_cls: 0.3181 enc_loss_bbox: 0.1605 enc_loss_iou: 0.2760 dn_loss_cls: 0.0921 dn_loss_bbox: 0.1505 dn_loss_iou: 0.2080 d0.dn_loss_cls: 0.1706 d0.dn_loss_bbox: 0.2934 d0.dn_loss_iou: 0.3431 d1.dn_loss_cls: 0.1166 d1.dn_loss_bbox: 0.1860 d1.dn_loss_iou: 0.2382 d2.dn_loss_cls: 0.1053 d2.dn_loss_bbox: 0.1581 d2.dn_loss_iou: 0.2158 d3.dn_loss_cls: 0.0960 d3.dn_loss_bbox: 0.1513 d3.dn_loss_iou: 0.2089 d4.dn_loss_cls: 0.0927 d4.dn_loss_bbox: 0.1506 d4.dn_loss_iou: 0.2080 d1.loss_lmm_region: 0.1513 loss_lmm_image: 0.8537 2024/11/03 15:37:30 - mmengine - INFO - Iter(train) [ 93200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:42:16 time: 0.9688 data_time: 0.0182 memory: 20962 grad_norm: 25.3242 loss: 9.7835 loss_cls: 0.3111 loss_bbox: 0.1526 loss_iou: 0.2710 d0.loss_cls: 0.3452 d0.loss_bbox: 0.1742 d0.loss_iou: 0.2922 d1.loss_cls: 0.3311 d1.loss_bbox: 0.1537 d1.loss_iou: 0.2731 d2.loss_cls: 0.3239 d2.loss_bbox: 0.1525 d2.loss_iou: 0.2713 d3.loss_cls: 0.3189 d3.loss_bbox: 0.1508 d3.loss_iou: 0.2701 d4.loss_cls: 0.3168 d4.loss_bbox: 0.1474 d4.loss_iou: 0.2680 enc_loss_cls: 0.3594 enc_loss_bbox: 0.1837 enc_loss_iou: 0.3095 dn_loss_cls: 0.0949 dn_loss_bbox: 0.1664 dn_loss_iou: 0.2297 d0.dn_loss_cls: 0.1850 d0.dn_loss_bbox: 0.3181 d0.dn_loss_iou: 0.3809 d1.dn_loss_cls: 0.1284 d1.dn_loss_bbox: 0.2010 d1.dn_loss_iou: 0.2647 d2.dn_loss_cls: 0.1093 d2.dn_loss_bbox: 0.1747 d2.dn_loss_iou: 0.2377 d3.dn_loss_cls: 0.0996 d3.dn_loss_bbox: 0.1681 d3.dn_loss_iou: 0.2310 d4.dn_loss_cls: 0.0951 d4.dn_loss_bbox: 0.1665 d4.dn_loss_iou: 0.2296 d1.loss_lmm_region: 0.1287 loss_lmm_image: 0.7976 2024/11/03 15:39:07 - mmengine - INFO - Iter(train) [ 93300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:40:35 time: 0.9720 data_time: 0.0183 memory: 20974 grad_norm: 22.3784 loss: 9.1739 loss_cls: 0.2850 loss_bbox: 0.1449 loss_iou: 0.2678 d0.loss_cls: 0.3198 d0.loss_bbox: 0.1565 d0.loss_iou: 0.2879 d1.loss_cls: 0.3008 d1.loss_bbox: 0.1486 d1.loss_iou: 0.2761 d2.loss_cls: 0.2947 d2.loss_bbox: 0.1415 d2.loss_iou: 0.2680 d3.loss_cls: 0.2898 d3.loss_bbox: 0.1456 d3.loss_iou: 0.2673 d4.loss_cls: 0.2849 d4.loss_bbox: 0.1456 d4.loss_iou: 0.2676 enc_loss_cls: 0.3416 enc_loss_bbox: 0.1704 enc_loss_iou: 0.3112 dn_loss_cls: 0.0823 dn_loss_bbox: 0.1603 dn_loss_iou: 0.2020 d0.dn_loss_cls: 0.1552 d0.dn_loss_bbox: 0.3057 d0.dn_loss_iou: 0.3446 d1.dn_loss_cls: 0.1067 d1.dn_loss_bbox: 0.1982 d1.dn_loss_iou: 0.2374 d2.dn_loss_cls: 0.0920 d2.dn_loss_bbox: 0.1691 d2.dn_loss_iou: 0.2102 d3.dn_loss_cls: 0.0840 d3.dn_loss_bbox: 0.1614 d3.dn_loss_iou: 0.2033 d4.dn_loss_cls: 0.0826 d4.dn_loss_bbox: 0.1603 d4.dn_loss_iou: 0.2019 d1.loss_lmm_region: 0.1165 loss_lmm_image: 0.7846 2024/11/03 15:40:44 - mmengine - INFO - Iter(train) [ 93400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:38:54 time: 0.9580 data_time: 0.0184 memory: 21267 grad_norm: 20.6402 loss: 10.3669 loss_cls: 0.3187 loss_bbox: 0.1648 loss_iou: 0.3088 d0.loss_cls: 0.3613 d0.loss_bbox: 0.1729 d0.loss_iou: 0.3248 d1.loss_cls: 0.3459 d1.loss_bbox: 0.1678 d1.loss_iou: 0.3104 d2.loss_cls: 0.3359 d2.loss_bbox: 0.1627 d2.loss_iou: 0.3049 d3.loss_cls: 0.3280 d3.loss_bbox: 0.1650 d3.loss_iou: 0.3074 d4.loss_cls: 0.3221 d4.loss_bbox: 0.1647 d4.loss_iou: 0.3089 enc_loss_cls: 0.3846 enc_loss_bbox: 0.1825 enc_loss_iou: 0.3417 dn_loss_cls: 0.0892 dn_loss_bbox: 0.1726 dn_loss_iou: 0.2503 d0.dn_loss_cls: 0.1756 d0.dn_loss_bbox: 0.3367 d0.dn_loss_iou: 0.4181 d1.dn_loss_cls: 0.1180 d1.dn_loss_bbox: 0.2114 d1.dn_loss_iou: 0.2873 d2.dn_loss_cls: 0.1036 d2.dn_loss_bbox: 0.1799 d2.dn_loss_iou: 0.2599 d3.dn_loss_cls: 0.0944 d3.dn_loss_bbox: 0.1736 d3.dn_loss_iou: 0.2519 d4.dn_loss_cls: 0.0906 d4.dn_loss_bbox: 0.1727 d4.dn_loss_iou: 0.2503 d1.loss_lmm_region: 0.1308 loss_lmm_image: 0.8162 2024/11/03 15:42:21 - mmengine - INFO - Iter(train) [ 93500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:37:12 time: 0.9609 data_time: 0.0181 memory: 20704 grad_norm: 20.7737 loss: 8.6867 loss_cls: 0.2536 loss_bbox: 0.1269 loss_iou: 0.2506 d0.loss_cls: 0.2784 d0.loss_bbox: 0.1413 d0.loss_iou: 0.2694 d1.loss_cls: 0.2637 d1.loss_bbox: 0.1337 d1.loss_iou: 0.2573 d2.loss_cls: 0.2630 d2.loss_bbox: 0.1277 d2.loss_iou: 0.2500 d3.loss_cls: 0.2581 d3.loss_bbox: 0.1300 d3.loss_iou: 0.2526 d4.loss_cls: 0.2546 d4.loss_bbox: 0.1271 d4.loss_iou: 0.2500 enc_loss_cls: 0.2951 enc_loss_bbox: 0.1547 enc_loss_iou: 0.2896 dn_loss_cls: 0.0642 dn_loss_bbox: 0.1581 dn_loss_iou: 0.2103 d0.dn_loss_cls: 0.1459 d0.dn_loss_bbox: 0.3040 d0.dn_loss_iou: 0.3571 d1.dn_loss_cls: 0.0951 d1.dn_loss_bbox: 0.1889 d1.dn_loss_iou: 0.2421 d2.dn_loss_cls: 0.0777 d2.dn_loss_bbox: 0.1641 d2.dn_loss_iou: 0.2177 d3.dn_loss_cls: 0.0701 d3.dn_loss_bbox: 0.1582 d3.dn_loss_iou: 0.2116 d4.dn_loss_cls: 0.0656 d4.dn_loss_bbox: 0.1580 d4.dn_loss_iou: 0.2102 d1.loss_lmm_region: 0.1131 loss_lmm_image: 0.8473 2024/11/03 15:43:59 - mmengine - INFO - Iter(train) [ 93600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:35:32 time: 0.9798 data_time: 0.0185 memory: 20435 grad_norm: 22.4840 loss: 8.3622 loss_cls: 0.2557 loss_bbox: 0.1042 loss_iou: 0.2146 d0.loss_cls: 0.2793 d0.loss_bbox: 0.1181 d0.loss_iou: 0.2340 d1.loss_cls: 0.2743 d1.loss_bbox: 0.1091 d1.loss_iou: 0.2193 d2.loss_cls: 0.2656 d2.loss_bbox: 0.1055 d2.loss_iou: 0.2171 d3.loss_cls: 0.2658 d3.loss_bbox: 0.1031 d3.loss_iou: 0.2157 d4.loss_cls: 0.2573 d4.loss_bbox: 0.1030 d4.loss_iou: 0.2148 enc_loss_cls: 0.2896 enc_loss_bbox: 0.1334 enc_loss_iou: 0.2564 dn_loss_cls: 0.0822 dn_loss_bbox: 0.1548 dn_loss_iou: 0.2154 d0.dn_loss_cls: 0.1586 d0.dn_loss_bbox: 0.3032 d0.dn_loss_iou: 0.3660 d1.dn_loss_cls: 0.1126 d1.dn_loss_bbox: 0.1905 d1.dn_loss_iou: 0.2490 d2.dn_loss_cls: 0.0984 d2.dn_loss_bbox: 0.1640 d2.dn_loss_iou: 0.2237 d3.dn_loss_cls: 0.0884 d3.dn_loss_bbox: 0.1559 d3.dn_loss_iou: 0.2170 d4.dn_loss_cls: 0.0833 d4.dn_loss_bbox: 0.1547 d4.dn_loss_iou: 0.2153 d1.loss_lmm_region: 0.1090 loss_lmm_image: 0.7843 2024/11/03 15:45:35 - mmengine - INFO - Iter(train) [ 93700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:33:51 time: 0.9616 data_time: 0.0184 memory: 21004 grad_norm: 23.4469 loss: 9.6383 loss_cls: 0.2940 loss_bbox: 0.1512 loss_iou: 0.2938 d0.loss_cls: 0.3265 d0.loss_bbox: 0.1692 d0.loss_iou: 0.3163 d1.loss_cls: 0.3131 d1.loss_bbox: 0.1573 d1.loss_iou: 0.2989 d2.loss_cls: 0.3079 d2.loss_bbox: 0.1479 d2.loss_iou: 0.2906 d3.loss_cls: 0.3022 d3.loss_bbox: 0.1498 d3.loss_iou: 0.2911 d4.loss_cls: 0.2969 d4.loss_bbox: 0.1512 d4.loss_iou: 0.2924 enc_loss_cls: 0.3494 enc_loss_bbox: 0.1835 enc_loss_iou: 0.3372 dn_loss_cls: 0.0822 dn_loss_bbox: 0.1528 dn_loss_iou: 0.2243 d0.dn_loss_cls: 0.1689 d0.dn_loss_bbox: 0.3047 d0.dn_loss_iou: 0.3736 d1.dn_loss_cls: 0.1112 d1.dn_loss_bbox: 0.1818 d1.dn_loss_iou: 0.2533 d2.dn_loss_cls: 0.0973 d2.dn_loss_bbox: 0.1592 d2.dn_loss_iou: 0.2315 d3.dn_loss_cls: 0.0857 d3.dn_loss_bbox: 0.1532 d3.dn_loss_iou: 0.2256 d4.dn_loss_cls: 0.0814 d4.dn_loss_bbox: 0.1528 d4.dn_loss_iou: 0.2243 d1.loss_lmm_region: 0.1369 loss_lmm_image: 0.8175 2024/11/03 15:47:13 - mmengine - INFO - Iter(train) [ 93800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:32:10 time: 0.9632 data_time: 0.0185 memory: 21774 grad_norm: 20.4446 loss: 9.4016 loss_cls: 0.2895 loss_bbox: 0.1421 loss_iou: 0.2441 d0.loss_cls: 0.3203 d0.loss_bbox: 0.1603 d0.loss_iou: 0.2660 d1.loss_cls: 0.3022 d1.loss_bbox: 0.1537 d1.loss_iou: 0.2543 d2.loss_cls: 0.2953 d2.loss_bbox: 0.1443 d2.loss_iou: 0.2473 d3.loss_cls: 0.2947 d3.loss_bbox: 0.1441 d3.loss_iou: 0.2443 d4.loss_cls: 0.2899 d4.loss_bbox: 0.1423 d4.loss_iou: 0.2447 enc_loss_cls: 0.3425 enc_loss_bbox: 0.1734 enc_loss_iou: 0.2882 dn_loss_cls: 0.0878 dn_loss_bbox: 0.1829 dn_loss_iou: 0.2160 d0.dn_loss_cls: 0.1718 d0.dn_loss_bbox: 0.3432 d0.dn_loss_iou: 0.3704 d1.dn_loss_cls: 0.1172 d1.dn_loss_bbox: 0.2138 d1.dn_loss_iou: 0.2491 d2.dn_loss_cls: 0.1009 d2.dn_loss_bbox: 0.1912 d2.dn_loss_iou: 0.2264 d3.dn_loss_cls: 0.0905 d3.dn_loss_bbox: 0.1846 d3.dn_loss_iou: 0.2183 d4.dn_loss_cls: 0.0880 d4.dn_loss_bbox: 0.1828 d4.dn_loss_iou: 0.2161 d1.loss_lmm_region: 0.1421 loss_lmm_image: 0.8248 2024/11/03 15:48:50 - mmengine - INFO - Iter(train) [ 93900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:30:29 time: 0.9769 data_time: 0.0184 memory: 21285 grad_norm: 21.3943 loss: 10.0330 loss_cls: 0.3034 loss_bbox: 0.1547 loss_iou: 0.2820 d0.loss_cls: 0.3560 d0.loss_bbox: 0.1716 d0.loss_iou: 0.2990 d1.loss_cls: 0.3302 d1.loss_bbox: 0.1601 d1.loss_iou: 0.2858 d2.loss_cls: 0.3191 d2.loss_bbox: 0.1558 d2.loss_iou: 0.2813 d3.loss_cls: 0.3100 d3.loss_bbox: 0.1563 d3.loss_iou: 0.2816 d4.loss_cls: 0.3027 d4.loss_bbox: 0.1574 d4.loss_iou: 0.2836 enc_loss_cls: 0.3705 enc_loss_bbox: 0.1853 enc_loss_iou: 0.3238 dn_loss_cls: 0.1087 dn_loss_bbox: 0.1670 dn_loss_iou: 0.2396 d0.dn_loss_cls: 0.1981 d0.dn_loss_bbox: 0.3175 d0.dn_loss_iou: 0.3979 d1.dn_loss_cls: 0.1410 d1.dn_loss_bbox: 0.1981 d1.dn_loss_iou: 0.2759 d2.dn_loss_cls: 0.1240 d2.dn_loss_bbox: 0.1754 d2.dn_loss_iou: 0.2491 d3.dn_loss_cls: 0.1142 d3.dn_loss_bbox: 0.1681 d3.dn_loss_iou: 0.2409 d4.dn_loss_cls: 0.1104 d4.dn_loss_bbox: 0.1667 d4.dn_loss_iou: 0.2396 d1.loss_lmm_region: 0.1404 loss_lmm_image: 0.7903 2024/11/03 15:50:28 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 15:50:28 - mmengine - INFO - Iter(train) [ 94000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:28:48 time: 0.9691 data_time: 0.0183 memory: 21207 grad_norm: 23.6909 loss: 10.7735 loss_cls: 0.3374 loss_bbox: 0.1772 loss_iou: 0.3376 d0.loss_cls: 0.3660 d0.loss_bbox: 0.1969 d0.loss_iou: 0.3613 d1.loss_cls: 0.3539 d1.loss_bbox: 0.1839 d1.loss_iou: 0.3507 d2.loss_cls: 0.3489 d2.loss_bbox: 0.1824 d2.loss_iou: 0.3445 d3.loss_cls: 0.3407 d3.loss_bbox: 0.1816 d3.loss_iou: 0.3404 d4.loss_cls: 0.3364 d4.loss_bbox: 0.1809 d4.loss_iou: 0.3393 enc_loss_cls: 0.3788 enc_loss_bbox: 0.2120 enc_loss_iou: 0.3817 dn_loss_cls: 0.0949 dn_loss_bbox: 0.1702 dn_loss_iou: 0.2435 d0.dn_loss_cls: 0.1844 d0.dn_loss_bbox: 0.3200 d0.dn_loss_iou: 0.3966 d1.dn_loss_cls: 0.1313 d1.dn_loss_bbox: 0.2032 d1.dn_loss_iou: 0.2769 d2.dn_loss_cls: 0.1148 d2.dn_loss_bbox: 0.1791 d2.dn_loss_iou: 0.2514 d3.dn_loss_cls: 0.1026 d3.dn_loss_bbox: 0.1727 d3.dn_loss_iou: 0.2451 d4.dn_loss_cls: 0.0959 d4.dn_loss_bbox: 0.1703 d4.dn_loss_iou: 0.2436 d1.loss_lmm_region: 0.1527 loss_lmm_image: 0.7918 2024/11/03 15:52:05 - mmengine - INFO - Iter(train) [ 94100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:27:07 time: 0.9641 data_time: 0.0184 memory: 21253 grad_norm: 20.1273 loss: 9.1793 loss_cls: 0.2839 loss_bbox: 0.1392 loss_iou: 0.2226 d0.loss_cls: 0.3162 d0.loss_bbox: 0.1521 d0.loss_iou: 0.2392 d1.loss_cls: 0.3021 d1.loss_bbox: 0.1454 d1.loss_iou: 0.2297 d2.loss_cls: 0.2970 d2.loss_bbox: 0.1411 d2.loss_iou: 0.2236 d3.loss_cls: 0.2905 d3.loss_bbox: 0.1409 d3.loss_iou: 0.2220 d4.loss_cls: 0.2853 d4.loss_bbox: 0.1386 d4.loss_iou: 0.2216 enc_loss_cls: 0.3343 enc_loss_bbox: 0.1675 enc_loss_iou: 0.2576 dn_loss_cls: 0.0885 dn_loss_bbox: 0.1882 dn_loss_iou: 0.2186 d0.dn_loss_cls: 0.1846 d0.dn_loss_bbox: 0.3495 d0.dn_loss_iou: 0.3714 d1.dn_loss_cls: 0.1224 d1.dn_loss_bbox: 0.2240 d1.dn_loss_iou: 0.2534 d2.dn_loss_cls: 0.1018 d2.dn_loss_bbox: 0.1964 d2.dn_loss_iou: 0.2278 d3.dn_loss_cls: 0.0930 d3.dn_loss_bbox: 0.1881 d3.dn_loss_iou: 0.2198 d4.dn_loss_cls: 0.0898 d4.dn_loss_bbox: 0.1882 d4.dn_loss_iou: 0.2186 d1.loss_lmm_region: 0.1333 loss_lmm_image: 0.7713 2024/11/03 15:53:42 - mmengine - INFO - Iter(train) [ 94200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:25:27 time: 0.9701 data_time: 0.0184 memory: 20423 grad_norm: 20.2095 loss: 9.8417 loss_cls: 0.3159 loss_bbox: 0.1508 loss_iou: 0.3197 d0.loss_cls: 0.3611 d0.loss_bbox: 0.1609 d0.loss_iou: 0.3393 d1.loss_cls: 0.3441 d1.loss_bbox: 0.1512 d1.loss_iou: 0.3245 d2.loss_cls: 0.3329 d2.loss_bbox: 0.1481 d2.loss_iou: 0.3185 d3.loss_cls: 0.3256 d3.loss_bbox: 0.1475 d3.loss_iou: 0.3171 d4.loss_cls: 0.3168 d4.loss_bbox: 0.1518 d4.loss_iou: 0.3210 enc_loss_cls: 0.3854 enc_loss_bbox: 0.1768 enc_loss_iou: 0.3624 dn_loss_cls: 0.0825 dn_loss_bbox: 0.1334 dn_loss_iou: 0.2144 d0.dn_loss_cls: 0.1710 d0.dn_loss_bbox: 0.2790 d0.dn_loss_iou: 0.3558 d1.dn_loss_cls: 0.1146 d1.dn_loss_bbox: 0.1668 d1.dn_loss_iou: 0.2475 d2.dn_loss_cls: 0.0988 d2.dn_loss_bbox: 0.1430 d2.dn_loss_iou: 0.2234 d3.dn_loss_cls: 0.0881 d3.dn_loss_bbox: 0.1348 d3.dn_loss_iou: 0.2156 d4.dn_loss_cls: 0.0843 d4.dn_loss_bbox: 0.1335 d4.dn_loss_iou: 0.2142 d1.loss_lmm_region: 0.1320 loss_lmm_image: 0.8376 2024/11/03 15:55:20 - mmengine - INFO - Iter(train) [ 94300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:23:46 time: 0.9763 data_time: 0.0184 memory: 20742 grad_norm: 21.0899 loss: 9.8252 loss_cls: 0.2868 loss_bbox: 0.1637 loss_iou: 0.2736 d0.loss_cls: 0.3325 d0.loss_bbox: 0.1758 d0.loss_iou: 0.2819 d1.loss_cls: 0.3090 d1.loss_bbox: 0.1720 d1.loss_iou: 0.2813 d2.loss_cls: 0.3020 d2.loss_bbox: 0.1622 d2.loss_iou: 0.2757 d3.loss_cls: 0.2957 d3.loss_bbox: 0.1663 d3.loss_iou: 0.2752 d4.loss_cls: 0.2864 d4.loss_bbox: 0.1641 d4.loss_iou: 0.2763 enc_loss_cls: 0.3446 enc_loss_bbox: 0.1931 enc_loss_iou: 0.3068 dn_loss_cls: 0.0879 dn_loss_bbox: 0.1825 dn_loss_iou: 0.2339 d0.dn_loss_cls: 0.1787 d0.dn_loss_bbox: 0.3494 d0.dn_loss_iou: 0.3913 d1.dn_loss_cls: 0.1216 d1.dn_loss_bbox: 0.2219 d1.dn_loss_iou: 0.2724 d2.dn_loss_cls: 0.1016 d2.dn_loss_bbox: 0.1958 d2.dn_loss_iou: 0.2444 d3.dn_loss_cls: 0.0934 d3.dn_loss_bbox: 0.1849 d3.dn_loss_iou: 0.2361 d4.dn_loss_cls: 0.0875 d4.dn_loss_bbox: 0.1825 d4.dn_loss_iou: 0.2338 d1.loss_lmm_region: 0.1294 loss_lmm_image: 0.7715 2024/11/03 15:56:57 - mmengine - INFO - Iter(train) [ 94400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:22:05 time: 0.9810 data_time: 0.0184 memory: 20686 grad_norm: 24.2433 loss: 8.6306 loss_cls: 0.2756 loss_bbox: 0.1231 loss_iou: 0.2290 d0.loss_cls: 0.3022 d0.loss_bbox: 0.1435 d0.loss_iou: 0.2498 d1.loss_cls: 0.2886 d1.loss_bbox: 0.1272 d1.loss_iou: 0.2357 d2.loss_cls: 0.2801 d2.loss_bbox: 0.1249 d2.loss_iou: 0.2312 d3.loss_cls: 0.2741 d3.loss_bbox: 0.1235 d3.loss_iou: 0.2305 d4.loss_cls: 0.2764 d4.loss_bbox: 0.1229 d4.loss_iou: 0.2295 enc_loss_cls: 0.3251 enc_loss_bbox: 0.1557 enc_loss_iou: 0.2685 dn_loss_cls: 0.0724 dn_loss_bbox: 0.1549 dn_loss_iou: 0.1938 d0.dn_loss_cls: 0.1503 d0.dn_loss_bbox: 0.3275 d0.dn_loss_iou: 0.3438 d1.dn_loss_cls: 0.0976 d1.dn_loss_bbox: 0.1961 d1.dn_loss_iou: 0.2291 d2.dn_loss_cls: 0.0816 d2.dn_loss_bbox: 0.1682 d2.dn_loss_iou: 0.2044 d3.dn_loss_cls: 0.0769 d3.dn_loss_bbox: 0.1577 d3.dn_loss_iou: 0.1963 d4.dn_loss_cls: 0.0720 d4.dn_loss_bbox: 0.1549 d4.dn_loss_iou: 0.1936 d1.loss_lmm_region: 0.1319 loss_lmm_image: 0.8105 2024/11/03 15:58:35 - mmengine - INFO - Iter(train) [ 94500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:20:25 time: 0.9870 data_time: 0.0183 memory: 21765 grad_norm: 20.8947 loss: 9.6043 loss_cls: 0.3063 loss_bbox: 0.1471 loss_iou: 0.3039 d0.loss_cls: 0.3382 d0.loss_bbox: 0.1669 d0.loss_iou: 0.3183 d1.loss_cls: 0.3228 d1.loss_bbox: 0.1539 d1.loss_iou: 0.3116 d2.loss_cls: 0.3159 d2.loss_bbox: 0.1496 d2.loss_iou: 0.3066 d3.loss_cls: 0.3099 d3.loss_bbox: 0.1480 d3.loss_iou: 0.3038 d4.loss_cls: 0.3070 d4.loss_bbox: 0.1472 d4.loss_iou: 0.3037 enc_loss_cls: 0.3636 enc_loss_bbox: 0.1770 enc_loss_iou: 0.3424 dn_loss_cls: 0.0663 dn_loss_bbox: 0.1428 dn_loss_iou: 0.2256 d0.dn_loss_cls: 0.1492 d0.dn_loss_bbox: 0.2899 d0.dn_loss_iou: 0.3754 d1.dn_loss_cls: 0.0949 d1.dn_loss_bbox: 0.1755 d1.dn_loss_iou: 0.2617 d2.dn_loss_cls: 0.0780 d2.dn_loss_bbox: 0.1513 d2.dn_loss_iou: 0.2351 d3.dn_loss_cls: 0.0700 d3.dn_loss_bbox: 0.1439 d3.dn_loss_iou: 0.2273 d4.dn_loss_cls: 0.0670 d4.dn_loss_bbox: 0.1427 d4.dn_loss_iou: 0.2255 d1.loss_lmm_region: 0.1371 loss_lmm_image: 0.8013 2024/11/03 16:00:12 - mmengine - INFO - Iter(train) [ 94600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:18:44 time: 0.9739 data_time: 0.0182 memory: 21013 grad_norm: 28.1847 loss: 8.0718 loss_cls: 0.2288 loss_bbox: 0.1162 loss_iou: 0.1900 d0.loss_cls: 0.2477 d0.loss_bbox: 0.1345 d0.loss_iou: 0.2148 d1.loss_cls: 0.2395 d1.loss_bbox: 0.1234 d1.loss_iou: 0.1980 d2.loss_cls: 0.2308 d2.loss_bbox: 0.1200 d2.loss_iou: 0.1919 d3.loss_cls: 0.2329 d3.loss_bbox: 0.1159 d3.loss_iou: 0.1893 d4.loss_cls: 0.2267 d4.loss_bbox: 0.1172 d4.loss_iou: 0.1918 enc_loss_cls: 0.2677 enc_loss_bbox: 0.1421 enc_loss_iou: 0.2289 dn_loss_cls: 0.0795 dn_loss_bbox: 0.1688 dn_loss_iou: 0.2051 d0.dn_loss_cls: 0.1520 d0.dn_loss_bbox: 0.3279 d0.dn_loss_iou: 0.3552 d1.dn_loss_cls: 0.1066 d1.dn_loss_bbox: 0.2025 d1.dn_loss_iou: 0.2388 d2.dn_loss_cls: 0.0906 d2.dn_loss_bbox: 0.1755 d2.dn_loss_iou: 0.2133 d3.dn_loss_cls: 0.0834 d3.dn_loss_bbox: 0.1697 d3.dn_loss_iou: 0.2064 d4.dn_loss_cls: 0.0795 d4.dn_loss_bbox: 0.1688 d4.dn_loss_iou: 0.2050 d1.loss_lmm_region: 0.1193 loss_lmm_image: 0.7756 2024/11/03 16:01:49 - mmengine - INFO - Iter(train) [ 94700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:17:03 time: 0.9627 data_time: 0.0183 memory: 20982 grad_norm: 22.5545 loss: 9.3571 loss_cls: 0.2807 loss_bbox: 0.1341 loss_iou: 0.2643 d0.loss_cls: 0.3100 d0.loss_bbox: 0.1460 d0.loss_iou: 0.2766 d1.loss_cls: 0.2983 d1.loss_bbox: 0.1364 d1.loss_iou: 0.2663 d2.loss_cls: 0.2884 d2.loss_bbox: 0.1373 d2.loss_iou: 0.2665 d3.loss_cls: 0.2846 d3.loss_bbox: 0.1323 d3.loss_iou: 0.2625 d4.loss_cls: 0.2809 d4.loss_bbox: 0.1345 d4.loss_iou: 0.2655 enc_loss_cls: 0.3279 enc_loss_bbox: 0.1575 enc_loss_iou: 0.2981 dn_loss_cls: 0.0934 dn_loss_bbox: 0.1577 dn_loss_iou: 0.2279 d0.dn_loss_cls: 0.1852 d0.dn_loss_bbox: 0.3179 d0.dn_loss_iou: 0.3932 d1.dn_loss_cls: 0.1283 d1.dn_loss_bbox: 0.1980 d1.dn_loss_iou: 0.2669 d2.dn_loss_cls: 0.1092 d2.dn_loss_bbox: 0.1680 d2.dn_loss_iou: 0.2374 d3.dn_loss_cls: 0.0986 d3.dn_loss_bbox: 0.1585 d3.dn_loss_iou: 0.2287 d4.dn_loss_cls: 0.0949 d4.dn_loss_bbox: 0.1577 d4.dn_loss_iou: 0.2279 d1.loss_lmm_region: 0.1519 loss_lmm_image: 0.8072 2024/11/03 16:03:26 - mmengine - INFO - Iter(train) [ 94800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:15:22 time: 0.9600 data_time: 0.0182 memory: 21638 grad_norm: 26.9359 loss: 8.5274 loss_cls: 0.2296 loss_bbox: 0.1308 loss_iou: 0.2152 d0.loss_cls: 0.2587 d0.loss_bbox: 0.1431 d0.loss_iou: 0.2320 d1.loss_cls: 0.2457 d1.loss_bbox: 0.1355 d1.loss_iou: 0.2242 d2.loss_cls: 0.2373 d2.loss_bbox: 0.1308 d2.loss_iou: 0.2193 d3.loss_cls: 0.2348 d3.loss_bbox: 0.1300 d3.loss_iou: 0.2153 d4.loss_cls: 0.2311 d4.loss_bbox: 0.1299 d4.loss_iou: 0.2155 enc_loss_cls: 0.2853 enc_loss_bbox: 0.1540 enc_loss_iou: 0.2505 dn_loss_cls: 0.0687 dn_loss_bbox: 0.1782 dn_loss_iou: 0.2191 d0.dn_loss_cls: 0.1523 d0.dn_loss_bbox: 0.3448 d0.dn_loss_iou: 0.3828 d1.dn_loss_cls: 0.0959 d1.dn_loss_bbox: 0.2168 d1.dn_loss_iou: 0.2574 d2.dn_loss_cls: 0.0817 d2.dn_loss_bbox: 0.1866 d2.dn_loss_iou: 0.2291 d3.dn_loss_cls: 0.0760 d3.dn_loss_bbox: 0.1790 d3.dn_loss_iou: 0.2204 d4.dn_loss_cls: 0.0699 d4.dn_loss_bbox: 0.1784 d4.dn_loss_iou: 0.2192 d1.loss_lmm_region: 0.1211 loss_lmm_image: 0.8015 2024/11/03 16:05:03 - mmengine - INFO - Iter(train) [ 94900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:13:41 time: 0.9696 data_time: 0.0183 memory: 20435 grad_norm: 26.1177 loss: 9.5435 loss_cls: 0.3331 loss_bbox: 0.1319 loss_iou: 0.2403 d0.loss_cls: 0.3532 d0.loss_bbox: 0.1484 d0.loss_iou: 0.2556 d1.loss_cls: 0.3433 d1.loss_bbox: 0.1385 d1.loss_iou: 0.2451 d2.loss_cls: 0.3411 d2.loss_bbox: 0.1323 d2.loss_iou: 0.2404 d3.loss_cls: 0.3363 d3.loss_bbox: 0.1348 d3.loss_iou: 0.2418 d4.loss_cls: 0.3351 d4.loss_bbox: 0.1322 d4.loss_iou: 0.2408 enc_loss_cls: 0.3682 enc_loss_bbox: 0.1616 enc_loss_iou: 0.2759 dn_loss_cls: 0.0984 dn_loss_bbox: 0.1742 dn_loss_iou: 0.2158 d0.dn_loss_cls: 0.1808 d0.dn_loss_bbox: 0.3321 d0.dn_loss_iou: 0.3650 d1.dn_loss_cls: 0.1290 d1.dn_loss_bbox: 0.2091 d1.dn_loss_iou: 0.2471 d2.dn_loss_cls: 0.1151 d2.dn_loss_bbox: 0.1826 d2.dn_loss_iou: 0.2231 d3.dn_loss_cls: 0.1050 d3.dn_loss_bbox: 0.1753 d3.dn_loss_iou: 0.2171 d4.dn_loss_cls: 0.0997 d4.dn_loss_bbox: 0.1741 d4.dn_loss_iou: 0.2159 d1.loss_lmm_region: 0.1336 loss_lmm_image: 0.8203 2024/11/03 16:06:40 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 16:06:40 - mmengine - INFO - Iter(train) [ 95000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:12:00 time: 0.9630 data_time: 0.0182 memory: 21334 grad_norm: 22.2908 loss: 8.1226 loss_cls: 0.2442 loss_bbox: 0.1064 loss_iou: 0.1867 d0.loss_cls: 0.2707 d0.loss_bbox: 0.1201 d0.loss_iou: 0.2091 d1.loss_cls: 0.2564 d1.loss_bbox: 0.1095 d1.loss_iou: 0.1955 d2.loss_cls: 0.2519 d2.loss_bbox: 0.1078 d2.loss_iou: 0.1909 d3.loss_cls: 0.2469 d3.loss_bbox: 0.1072 d3.loss_iou: 0.1866 d4.loss_cls: 0.2459 d4.loss_bbox: 0.1066 d4.loss_iou: 0.1864 enc_loss_cls: 0.2845 enc_loss_bbox: 0.1410 enc_loss_iou: 0.2324 dn_loss_cls: 0.0857 dn_loss_bbox: 0.1632 dn_loss_iou: 0.1947 d0.dn_loss_cls: 0.1580 d0.dn_loss_bbox: 0.3184 d0.dn_loss_iou: 0.3386 d1.dn_loss_cls: 0.1114 d1.dn_loss_bbox: 0.2035 d1.dn_loss_iou: 0.2293 d2.dn_loss_cls: 0.0978 d2.dn_loss_bbox: 0.1720 d2.dn_loss_iou: 0.2027 d3.dn_loss_cls: 0.0901 d3.dn_loss_bbox: 0.1639 d3.dn_loss_iou: 0.1961 d4.dn_loss_cls: 0.0867 d4.dn_loss_bbox: 0.1632 d4.dn_loss_iou: 0.1946 d1.loss_lmm_region: 0.1204 loss_lmm_image: 0.8457 2024/11/03 16:08:17 - mmengine - INFO - Iter(train) [ 95100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:10:19 time: 0.9743 data_time: 0.0182 memory: 20938 grad_norm: 22.8093 loss: 8.8936 loss_cls: 0.2750 loss_bbox: 0.1293 loss_iou: 0.2652 d0.loss_cls: 0.3143 d0.loss_bbox: 0.1401 d0.loss_iou: 0.2808 d1.loss_cls: 0.2937 d1.loss_bbox: 0.1332 d1.loss_iou: 0.2705 d2.loss_cls: 0.2915 d2.loss_bbox: 0.1300 d2.loss_iou: 0.2620 d3.loss_cls: 0.2858 d3.loss_bbox: 0.1285 d3.loss_iou: 0.2643 d4.loss_cls: 0.2791 d4.loss_bbox: 0.1289 d4.loss_iou: 0.2654 enc_loss_cls: 0.3244 enc_loss_bbox: 0.1524 enc_loss_iou: 0.3079 dn_loss_cls: 0.0775 dn_loss_bbox: 0.1484 dn_loss_iou: 0.2063 d0.dn_loss_cls: 0.1566 d0.dn_loss_bbox: 0.2823 d0.dn_loss_iou: 0.3447 d1.dn_loss_cls: 0.1055 d1.dn_loss_bbox: 0.1783 d1.dn_loss_iou: 0.2381 d2.dn_loss_cls: 0.0909 d2.dn_loss_bbox: 0.1575 d2.dn_loss_iou: 0.2148 d3.dn_loss_cls: 0.0809 d3.dn_loss_bbox: 0.1495 d3.dn_loss_iou: 0.2076 d4.dn_loss_cls: 0.0782 d4.dn_loss_bbox: 0.1485 d4.dn_loss_iou: 0.2063 d1.loss_lmm_region: 0.1142 loss_lmm_image: 0.7852 2024/11/03 16:09:54 - mmengine - INFO - Iter(train) [ 95200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:08:38 time: 0.9663 data_time: 0.0183 memory: 20627 grad_norm: 21.6301 loss: 9.0162 loss_cls: 0.2807 loss_bbox: 0.1273 loss_iou: 0.2742 d0.loss_cls: 0.3085 d0.loss_bbox: 0.1439 d0.loss_iou: 0.2932 d1.loss_cls: 0.2988 d1.loss_bbox: 0.1311 d1.loss_iou: 0.2762 d2.loss_cls: 0.2935 d2.loss_bbox: 0.1279 d2.loss_iou: 0.2722 d3.loss_cls: 0.2835 d3.loss_bbox: 0.1263 d3.loss_iou: 0.2719 d4.loss_cls: 0.2781 d4.loss_bbox: 0.1278 d4.loss_iou: 0.2747 enc_loss_cls: 0.3306 enc_loss_bbox: 0.1518 enc_loss_iou: 0.3013 dn_loss_cls: 0.0794 dn_loss_bbox: 0.1542 dn_loss_iou: 0.2150 d0.dn_loss_cls: 0.1535 d0.dn_loss_bbox: 0.2998 d0.dn_loss_iou: 0.3546 d1.dn_loss_cls: 0.1002 d1.dn_loss_bbox: 0.1864 d1.dn_loss_iou: 0.2463 d2.dn_loss_cls: 0.0857 d2.dn_loss_bbox: 0.1634 d2.dn_loss_iou: 0.2238 d3.dn_loss_cls: 0.0807 d3.dn_loss_bbox: 0.1563 d3.dn_loss_iou: 0.2167 d4.dn_loss_cls: 0.0797 d4.dn_loss_bbox: 0.1542 d4.dn_loss_iou: 0.2150 d1.loss_lmm_region: 0.1277 loss_lmm_image: 0.7498 2024/11/03 16:11:32 - mmengine - INFO - Iter(train) [ 95300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:06:57 time: 0.9688 data_time: 0.0183 memory: 21358 grad_norm: 23.5622 loss: 9.3273 loss_cls: 0.2847 loss_bbox: 0.1392 loss_iou: 0.2673 d0.loss_cls: 0.3191 d0.loss_bbox: 0.1522 d0.loss_iou: 0.2897 d1.loss_cls: 0.3035 d1.loss_bbox: 0.1445 d1.loss_iou: 0.2777 d2.loss_cls: 0.2985 d2.loss_bbox: 0.1377 d2.loss_iou: 0.2683 d3.loss_cls: 0.2891 d3.loss_bbox: 0.1409 d3.loss_iou: 0.2671 d4.loss_cls: 0.2829 d4.loss_bbox: 0.1391 d4.loss_iou: 0.2683 enc_loss_cls: 0.3375 enc_loss_bbox: 0.1648 enc_loss_iou: 0.3131 dn_loss_cls: 0.0839 dn_loss_bbox: 0.1604 dn_loss_iou: 0.2236 d0.dn_loss_cls: 0.1634 d0.dn_loss_bbox: 0.3157 d0.dn_loss_iou: 0.3784 d1.dn_loss_cls: 0.1106 d1.dn_loss_bbox: 0.1991 d1.dn_loss_iou: 0.2626 d2.dn_loss_cls: 0.0952 d2.dn_loss_bbox: 0.1703 d2.dn_loss_iou: 0.2343 d3.dn_loss_cls: 0.0875 d3.dn_loss_bbox: 0.1618 d3.dn_loss_iou: 0.2256 d4.dn_loss_cls: 0.0835 d4.dn_loss_bbox: 0.1604 d4.dn_loss_iou: 0.2236 d1.loss_lmm_region: 0.1274 loss_lmm_image: 0.7750 2024/11/03 16:13:08 - mmengine - INFO - Iter(train) [ 95400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:05:16 time: 0.9637 data_time: 0.0183 memory: 21463 grad_norm: 22.5882 loss: 8.6305 loss_cls: 0.2556 loss_bbox: 0.1261 loss_iou: 0.2359 d0.loss_cls: 0.2841 d0.loss_bbox: 0.1444 d0.loss_iou: 0.2564 d1.loss_cls: 0.2634 d1.loss_bbox: 0.1352 d1.loss_iou: 0.2452 d2.loss_cls: 0.2636 d2.loss_bbox: 0.1255 d2.loss_iou: 0.2374 d3.loss_cls: 0.2599 d3.loss_bbox: 0.1276 d3.loss_iou: 0.2372 d4.loss_cls: 0.2546 d4.loss_bbox: 0.1277 d4.loss_iou: 0.2384 enc_loss_cls: 0.3138 enc_loss_bbox: 0.1554 enc_loss_iou: 0.2766 dn_loss_cls: 0.0801 dn_loss_bbox: 0.1505 dn_loss_iou: 0.2025 d0.dn_loss_cls: 0.1571 d0.dn_loss_bbox: 0.2991 d0.dn_loss_iou: 0.3481 d1.dn_loss_cls: 0.1090 d1.dn_loss_bbox: 0.1855 d1.dn_loss_iou: 0.2358 d2.dn_loss_cls: 0.0950 d2.dn_loss_bbox: 0.1613 d2.dn_loss_iou: 0.2114 d3.dn_loss_cls: 0.0835 d3.dn_loss_bbox: 0.1519 d3.dn_loss_iou: 0.2040 d4.dn_loss_cls: 0.0800 d4.dn_loss_bbox: 0.1507 d4.dn_loss_iou: 0.2025 d1.loss_lmm_region: 0.1107 loss_lmm_image: 0.8477 2024/11/03 16:14:46 - mmengine - INFO - Iter(train) [ 95500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:03:36 time: 0.9717 data_time: 0.0183 memory: 20677 grad_norm: 27.9215 loss: 9.6822 loss_cls: 0.3107 loss_bbox: 0.1484 loss_iou: 0.2531 d0.loss_cls: 0.3459 d0.loss_bbox: 0.1609 d0.loss_iou: 0.2683 d1.loss_cls: 0.3187 d1.loss_bbox: 0.1592 d1.loss_iou: 0.2596 d2.loss_cls: 0.3162 d2.loss_bbox: 0.1490 d2.loss_iou: 0.2539 d3.loss_cls: 0.3185 d3.loss_bbox: 0.1483 d3.loss_iou: 0.2510 d4.loss_cls: 0.3096 d4.loss_bbox: 0.1493 d4.loss_iou: 0.2532 enc_loss_cls: 0.3669 enc_loss_bbox: 0.1748 enc_loss_iou: 0.2912 dn_loss_cls: 0.0771 dn_loss_bbox: 0.1823 dn_loss_iou: 0.2325 d0.dn_loss_cls: 0.1791 d0.dn_loss_bbox: 0.3320 d0.dn_loss_iou: 0.3845 d1.dn_loss_cls: 0.1165 d1.dn_loss_bbox: 0.2114 d1.dn_loss_iou: 0.2656 d2.dn_loss_cls: 0.0965 d2.dn_loss_bbox: 0.1898 d2.dn_loss_iou: 0.2411 d3.dn_loss_cls: 0.0838 d3.dn_loss_bbox: 0.1839 d3.dn_loss_iou: 0.2342 d4.dn_loss_cls: 0.0781 d4.dn_loss_bbox: 0.1825 d4.dn_loss_iou: 0.2327 d1.loss_lmm_region: 0.1534 loss_lmm_image: 0.8185 2024/11/03 16:16:24 - mmengine - INFO - Iter(train) [ 95600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:01:55 time: 0.9776 data_time: 0.0185 memory: 20136 grad_norm: 22.0061 loss: 9.6362 loss_cls: 0.3102 loss_bbox: 0.1480 loss_iou: 0.2656 d0.loss_cls: 0.3443 d0.loss_bbox: 0.1591 d0.loss_iou: 0.2820 d1.loss_cls: 0.3305 d1.loss_bbox: 0.1511 d1.loss_iou: 0.2705 d2.loss_cls: 0.3282 d2.loss_bbox: 0.1453 d2.loss_iou: 0.2637 d3.loss_cls: 0.3118 d3.loss_bbox: 0.1476 d3.loss_iou: 0.2640 d4.loss_cls: 0.3117 d4.loss_bbox: 0.1490 d4.loss_iou: 0.2660 enc_loss_cls: 0.3640 enc_loss_bbox: 0.1717 enc_loss_iou: 0.2962 dn_loss_cls: 0.0895 dn_loss_bbox: 0.1669 dn_loss_iou: 0.2245 d0.dn_loss_cls: 0.1718 d0.dn_loss_bbox: 0.3098 d0.dn_loss_iou: 0.3793 d1.dn_loss_cls: 0.1176 d1.dn_loss_bbox: 0.2003 d1.dn_loss_iou: 0.2596 d2.dn_loss_cls: 0.1049 d2.dn_loss_bbox: 0.1745 d2.dn_loss_iou: 0.2329 d3.dn_loss_cls: 0.0957 d3.dn_loss_bbox: 0.1683 d3.dn_loss_iou: 0.2259 d4.dn_loss_cls: 0.0894 d4.dn_loss_bbox: 0.1669 d4.dn_loss_iou: 0.2245 d1.loss_lmm_region: 0.1331 loss_lmm_image: 0.8205 2024/11/03 16:18:01 - mmengine - INFO - Iter(train) [ 95700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:00:15 time: 0.9611 data_time: 0.0184 memory: 21919 grad_norm: 21.2861 loss: 9.1069 loss_cls: 0.2715 loss_bbox: 0.1397 loss_iou: 0.2403 d0.loss_cls: 0.3067 d0.loss_bbox: 0.1516 d0.loss_iou: 0.2551 d1.loss_cls: 0.2984 d1.loss_bbox: 0.1417 d1.loss_iou: 0.2450 d2.loss_cls: 0.2881 d2.loss_bbox: 0.1369 d2.loss_iou: 0.2405 d3.loss_cls: 0.2784 d3.loss_bbox: 0.1372 d3.loss_iou: 0.2385 d4.loss_cls: 0.2729 d4.loss_bbox: 0.1383 d4.loss_iou: 0.2408 enc_loss_cls: 0.3177 enc_loss_bbox: 0.1706 enc_loss_iou: 0.2765 dn_loss_cls: 0.0824 dn_loss_bbox: 0.1694 dn_loss_iou: 0.2233 d0.dn_loss_cls: 0.1701 d0.dn_loss_bbox: 0.3250 d0.dn_loss_iou: 0.3709 d1.dn_loss_cls: 0.1184 d1.dn_loss_bbox: 0.2001 d1.dn_loss_iou: 0.2522 d2.dn_loss_cls: 0.0984 d2.dn_loss_bbox: 0.1772 d2.dn_loss_iou: 0.2305 d3.dn_loss_cls: 0.0900 d3.dn_loss_bbox: 0.1706 d3.dn_loss_iou: 0.2243 d4.dn_loss_cls: 0.0846 d4.dn_loss_bbox: 0.1694 d4.dn_loss_iou: 0.2233 d1.loss_lmm_region: 0.1295 loss_lmm_image: 0.8109 2024/11/03 16:19:38 - mmengine - INFO - Iter(train) [ 95800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:58:34 time: 0.9679 data_time: 0.0185 memory: 20951 grad_norm: 22.9317 loss: 10.2129 loss_cls: 0.3101 loss_bbox: 0.1611 loss_iou: 0.3102 d0.loss_cls: 0.3433 d0.loss_bbox: 0.1664 d0.loss_iou: 0.3220 d1.loss_cls: 0.3273 d1.loss_bbox: 0.1619 d1.loss_iou: 0.3134 d2.loss_cls: 0.3186 d2.loss_bbox: 0.1581 d2.loss_iou: 0.3101 d3.loss_cls: 0.3162 d3.loss_bbox: 0.1603 d3.loss_iou: 0.3074 d4.loss_cls: 0.3148 d4.loss_bbox: 0.1590 d4.loss_iou: 0.3092 enc_loss_cls: 0.3601 enc_loss_bbox: 0.1833 enc_loss_iou: 0.3431 dn_loss_cls: 0.0993 dn_loss_bbox: 0.1779 dn_loss_iou: 0.2423 d0.dn_loss_cls: 0.1777 d0.dn_loss_bbox: 0.3213 d0.dn_loss_iou: 0.3903 d1.dn_loss_cls: 0.1324 d1.dn_loss_bbox: 0.2124 d1.dn_loss_iou: 0.2774 d2.dn_loss_cls: 0.1146 d2.dn_loss_bbox: 0.1889 d2.dn_loss_iou: 0.2527 d3.dn_loss_cls: 0.1044 d3.dn_loss_bbox: 0.1789 d3.dn_loss_iou: 0.2440 d4.dn_loss_cls: 0.0985 d4.dn_loss_bbox: 0.1779 d4.dn_loss_iou: 0.2423 d1.loss_lmm_region: 0.1394 loss_lmm_image: 0.7844 2024/11/03 16:21:15 - mmengine - INFO - Iter(train) [ 95900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:56:53 time: 0.9665 data_time: 0.0185 memory: 21285 grad_norm: 21.5914 loss: 8.5846 loss_cls: 0.2616 loss_bbox: 0.1260 loss_iou: 0.2380 d0.loss_cls: 0.2969 d0.loss_bbox: 0.1312 d0.loss_iou: 0.2447 d1.loss_cls: 0.2739 d1.loss_bbox: 0.1279 d1.loss_iou: 0.2432 d2.loss_cls: 0.2714 d2.loss_bbox: 0.1252 d2.loss_iou: 0.2398 d3.loss_cls: 0.2648 d3.loss_bbox: 0.1254 d3.loss_iou: 0.2382 d4.loss_cls: 0.2624 d4.loss_bbox: 0.1272 d4.loss_iou: 0.2404 enc_loss_cls: 0.3167 enc_loss_bbox: 0.1445 enc_loss_iou: 0.2663 dn_loss_cls: 0.0848 dn_loss_bbox: 0.1551 dn_loss_iou: 0.1993 d0.dn_loss_cls: 0.1618 d0.dn_loss_bbox: 0.3034 d0.dn_loss_iou: 0.3373 d1.dn_loss_cls: 0.1155 d1.dn_loss_bbox: 0.1916 d1.dn_loss_iou: 0.2307 d2.dn_loss_cls: 0.0992 d2.dn_loss_bbox: 0.1651 d2.dn_loss_iou: 0.2084 d3.dn_loss_cls: 0.0892 d3.dn_loss_bbox: 0.1562 d3.dn_loss_iou: 0.2002 d4.dn_loss_cls: 0.0852 d4.dn_loss_bbox: 0.1551 d4.dn_loss_iou: 0.1993 d1.loss_lmm_region: 0.1158 loss_lmm_image: 0.7654 2024/11/03 16:22:51 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 16:22:51 - mmengine - INFO - Iter(train) [ 96000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:55:12 time: 0.9793 data_time: 0.0184 memory: 21463 grad_norm: 21.7109 loss: 9.5408 loss_cls: 0.2759 loss_bbox: 0.1481 loss_iou: 0.2470 d0.loss_cls: 0.3048 d0.loss_bbox: 0.1642 d0.loss_iou: 0.2585 d1.loss_cls: 0.2909 d1.loss_bbox: 0.1548 d1.loss_iou: 0.2510 d2.loss_cls: 0.2887 d2.loss_bbox: 0.1479 d2.loss_iou: 0.2465 d3.loss_cls: 0.2808 d3.loss_bbox: 0.1479 d3.loss_iou: 0.2497 d4.loss_cls: 0.2791 d4.loss_bbox: 0.1469 d4.loss_iou: 0.2467 enc_loss_cls: 0.3219 enc_loss_bbox: 0.1726 enc_loss_iou: 0.2807 dn_loss_cls: 0.0958 dn_loss_bbox: 0.2052 dn_loss_iou: 0.2328 d0.dn_loss_cls: 0.1870 d0.dn_loss_bbox: 0.3733 d0.dn_loss_iou: 0.3850 d1.dn_loss_cls: 0.1275 d1.dn_loss_bbox: 0.2456 d1.dn_loss_iou: 0.2687 d2.dn_loss_cls: 0.1106 d2.dn_loss_bbox: 0.2143 d2.dn_loss_iou: 0.2408 d3.dn_loss_cls: 0.0999 d3.dn_loss_bbox: 0.2056 d3.dn_loss_iou: 0.2340 d4.dn_loss_cls: 0.0955 d4.dn_loss_bbox: 0.2052 d4.dn_loss_iou: 0.2329 d1.loss_lmm_region: 0.1394 loss_lmm_image: 0.7374 2024/11/03 16:24:28 - mmengine - INFO - Iter(train) [ 96100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:53:31 time: 0.9616 data_time: 0.0182 memory: 20216 grad_norm: 22.8100 loss: 9.4964 loss_cls: 0.2922 loss_bbox: 0.1532 loss_iou: 0.2773 d0.loss_cls: 0.3163 d0.loss_bbox: 0.1700 d0.loss_iou: 0.3001 d1.loss_cls: 0.2985 d1.loss_bbox: 0.1630 d1.loss_iou: 0.2918 d2.loss_cls: 0.3003 d2.loss_bbox: 0.1544 d2.loss_iou: 0.2796 d3.loss_cls: 0.2950 d3.loss_bbox: 0.1528 d3.loss_iou: 0.2786 d4.loss_cls: 0.2917 d4.loss_bbox: 0.1541 d4.loss_iou: 0.2781 enc_loss_cls: 0.3338 enc_loss_bbox: 0.1834 enc_loss_iou: 0.3205 dn_loss_cls: 0.0728 dn_loss_bbox: 0.1836 dn_loss_iou: 0.2248 d0.dn_loss_cls: 0.1526 d0.dn_loss_bbox: 0.3265 d0.dn_loss_iou: 0.3669 d1.dn_loss_cls: 0.1000 d1.dn_loss_bbox: 0.2151 d1.dn_loss_iou: 0.2561 d2.dn_loss_cls: 0.0851 d2.dn_loss_bbox: 0.1925 d2.dn_loss_iou: 0.2323 d3.dn_loss_cls: 0.0789 d3.dn_loss_bbox: 0.1842 d3.dn_loss_iou: 0.2257 d4.dn_loss_cls: 0.0741 d4.dn_loss_bbox: 0.1835 d4.dn_loss_iou: 0.2248 d1.loss_lmm_region: 0.1363 loss_lmm_image: 0.6958 2024/11/03 16:26:05 - mmengine - INFO - Iter(train) [ 96200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:51:50 time: 0.9743 data_time: 0.0183 memory: 20833 grad_norm: 21.6383 loss: 9.6678 loss_cls: 0.2863 loss_bbox: 0.1396 loss_iou: 0.2582 d0.loss_cls: 0.3174 d0.loss_bbox: 0.1573 d0.loss_iou: 0.2776 d1.loss_cls: 0.3030 d1.loss_bbox: 0.1433 d1.loss_iou: 0.2622 d2.loss_cls: 0.2912 d2.loss_bbox: 0.1422 d2.loss_iou: 0.2596 d3.loss_cls: 0.2896 d3.loss_bbox: 0.1422 d3.loss_iou: 0.2593 d4.loss_cls: 0.2880 d4.loss_bbox: 0.1407 d4.loss_iou: 0.2586 enc_loss_cls: 0.3396 enc_loss_bbox: 0.1678 enc_loss_iou: 0.2929 dn_loss_cls: 0.0759 dn_loss_bbox: 0.1957 dn_loss_iou: 0.2493 d0.dn_loss_cls: 0.1777 d0.dn_loss_bbox: 0.3574 d0.dn_loss_iou: 0.4039 d1.dn_loss_cls: 0.1091 d1.dn_loss_bbox: 0.2291 d1.dn_loss_iou: 0.2825 d2.dn_loss_cls: 0.0917 d2.dn_loss_bbox: 0.2030 d2.dn_loss_iou: 0.2561 d3.dn_loss_cls: 0.0805 d3.dn_loss_bbox: 0.1966 d3.dn_loss_iou: 0.2501 d4.dn_loss_cls: 0.0761 d4.dn_loss_bbox: 0.1959 d4.dn_loss_iou: 0.2493 d1.loss_lmm_region: 0.1609 loss_lmm_image: 0.8102 2024/11/03 16:27:43 - mmengine - INFO - Iter(train) [ 96300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:50:09 time: 0.9785 data_time: 0.0183 memory: 21613 grad_norm: 21.9852 loss: 9.8931 loss_cls: 0.2976 loss_bbox: 0.1483 loss_iou: 0.2819 d0.loss_cls: 0.3246 d0.loss_bbox: 0.1652 d0.loss_iou: 0.3074 d1.loss_cls: 0.3100 d1.loss_bbox: 0.1576 d1.loss_iou: 0.2947 d2.loss_cls: 0.3079 d2.loss_bbox: 0.1496 d2.loss_iou: 0.2851 d3.loss_cls: 0.3035 d3.loss_bbox: 0.1485 d3.loss_iou: 0.2825 d4.loss_cls: 0.2989 d4.loss_bbox: 0.1472 d4.loss_iou: 0.2813 enc_loss_cls: 0.3471 enc_loss_bbox: 0.1759 enc_loss_iou: 0.3276 dn_loss_cls: 0.0786 dn_loss_bbox: 0.1809 dn_loss_iou: 0.2413 d0.dn_loss_cls: 0.1701 d0.dn_loss_bbox: 0.3454 d0.dn_loss_iou: 0.4019 d1.dn_loss_cls: 0.1118 d1.dn_loss_bbox: 0.2206 d1.dn_loss_iou: 0.2776 d2.dn_loss_cls: 0.0944 d2.dn_loss_bbox: 0.1911 d2.dn_loss_iou: 0.2504 d3.dn_loss_cls: 0.0839 d3.dn_loss_bbox: 0.1830 d3.dn_loss_iou: 0.2433 d4.dn_loss_cls: 0.0788 d4.dn_loss_bbox: 0.1808 d4.dn_loss_iou: 0.2413 d1.loss_lmm_region: 0.1314 loss_lmm_image: 0.8441 2024/11/03 16:29:20 - mmengine - INFO - Iter(train) [ 96400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:48:28 time: 0.9716 data_time: 0.0186 memory: 21200 grad_norm: 24.4596 loss: 9.2010 loss_cls: 0.2814 loss_bbox: 0.1429 loss_iou: 0.2837 d0.loss_cls: 0.3131 d0.loss_bbox: 0.1586 d0.loss_iou: 0.3027 d1.loss_cls: 0.2931 d1.loss_bbox: 0.1528 d1.loss_iou: 0.2948 d2.loss_cls: 0.2847 d2.loss_bbox: 0.1484 d2.loss_iou: 0.2896 d3.loss_cls: 0.2812 d3.loss_bbox: 0.1464 d3.loss_iou: 0.2866 d4.loss_cls: 0.2810 d4.loss_bbox: 0.1438 d4.loss_iou: 0.2846 enc_loss_cls: 0.3316 enc_loss_bbox: 0.1692 enc_loss_iou: 0.3205 dn_loss_cls: 0.0858 dn_loss_bbox: 0.1488 dn_loss_iou: 0.2104 d0.dn_loss_cls: 0.1594 d0.dn_loss_bbox: 0.2735 d0.dn_loss_iou: 0.3519 d1.dn_loss_cls: 0.1097 d1.dn_loss_bbox: 0.1729 d1.dn_loss_iou: 0.2395 d2.dn_loss_cls: 0.0954 d2.dn_loss_bbox: 0.1556 d2.dn_loss_iou: 0.2177 d3.dn_loss_cls: 0.0863 d3.dn_loss_bbox: 0.1492 d3.dn_loss_iou: 0.2113 d4.dn_loss_cls: 0.0855 d4.dn_loss_bbox: 0.1489 d4.dn_loss_iou: 0.2103 d1.loss_lmm_region: 0.1118 loss_lmm_image: 0.7866 2024/11/03 16:30:58 - mmengine - INFO - Iter(train) [ 96500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:46:48 time: 0.9876 data_time: 0.0183 memory: 20862 grad_norm: 24.2968 loss: 9.2806 loss_cls: 0.3019 loss_bbox: 0.1456 loss_iou: 0.2694 d0.loss_cls: 0.3293 d0.loss_bbox: 0.1645 d0.loss_iou: 0.2855 d1.loss_cls: 0.3169 d1.loss_bbox: 0.1503 d1.loss_iou: 0.2721 d2.loss_cls: 0.3161 d2.loss_bbox: 0.1430 d2.loss_iou: 0.2677 d3.loss_cls: 0.3093 d3.loss_bbox: 0.1428 d3.loss_iou: 0.2661 d4.loss_cls: 0.3005 d4.loss_bbox: 0.1461 d4.loss_iou: 0.2709 enc_loss_cls: 0.3445 enc_loss_bbox: 0.1702 enc_loss_iou: 0.3082 dn_loss_cls: 0.0711 dn_loss_bbox: 0.1551 dn_loss_iou: 0.2144 d0.dn_loss_cls: 0.1618 d0.dn_loss_bbox: 0.2876 d0.dn_loss_iou: 0.3548 d1.dn_loss_cls: 0.1085 d1.dn_loss_bbox: 0.1807 d1.dn_loss_iou: 0.2453 d2.dn_loss_cls: 0.0872 d2.dn_loss_bbox: 0.1636 d2.dn_loss_iou: 0.2232 d3.dn_loss_cls: 0.0786 d3.dn_loss_bbox: 0.1570 d3.dn_loss_iou: 0.2158 d4.dn_loss_cls: 0.0724 d4.dn_loss_bbox: 0.1553 d4.dn_loss_iou: 0.2147 d1.loss_lmm_region: 0.1319 loss_lmm_image: 0.7806 2024/11/03 16:32:35 - mmengine - INFO - Iter(train) [ 96600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:45:07 time: 0.9752 data_time: 0.0183 memory: 21574 grad_norm: 22.5514 loss: 7.7300 loss_cls: 0.2403 loss_bbox: 0.1057 loss_iou: 0.2002 d0.loss_cls: 0.2745 d0.loss_bbox: 0.1202 d0.loss_iou: 0.2179 d1.loss_cls: 0.2529 d1.loss_bbox: 0.1108 d1.loss_iou: 0.2093 d2.loss_cls: 0.2556 d2.loss_bbox: 0.1038 d2.loss_iou: 0.1990 d3.loss_cls: 0.2481 d3.loss_bbox: 0.1031 d3.loss_iou: 0.2004 d4.loss_cls: 0.2422 d4.loss_bbox: 0.1062 d4.loss_iou: 0.2008 enc_loss_cls: 0.2897 enc_loss_bbox: 0.1316 enc_loss_iou: 0.2339 dn_loss_cls: 0.0552 dn_loss_bbox: 0.1361 dn_loss_iou: 0.1852 d0.dn_loss_cls: 0.1314 d0.dn_loss_bbox: 0.2849 d0.dn_loss_iou: 0.3341 d1.dn_loss_cls: 0.0789 d1.dn_loss_bbox: 0.1658 d1.dn_loss_iou: 0.2174 d2.dn_loss_cls: 0.0655 d2.dn_loss_bbox: 0.1439 d2.dn_loss_iou: 0.1940 d3.dn_loss_cls: 0.0593 d3.dn_loss_bbox: 0.1377 d3.dn_loss_iou: 0.1868 d4.dn_loss_cls: 0.0556 d4.dn_loss_bbox: 0.1362 d4.dn_loss_iou: 0.1853 d1.loss_lmm_region: 0.1104 loss_lmm_image: 0.8200 2024/11/03 16:34:12 - mmengine - INFO - Iter(train) [ 96700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:43:27 time: 0.9750 data_time: 0.0184 memory: 20553 grad_norm: 24.2145 loss: 10.2638 loss_cls: 0.3576 loss_bbox: 0.1449 loss_iou: 0.3045 d0.loss_cls: 0.3957 d0.loss_bbox: 0.1584 d0.loss_iou: 0.3223 d1.loss_cls: 0.3783 d1.loss_bbox: 0.1498 d1.loss_iou: 0.3117 d2.loss_cls: 0.3664 d2.loss_bbox: 0.1458 d2.loss_iou: 0.3094 d3.loss_cls: 0.3635 d3.loss_bbox: 0.1443 d3.loss_iou: 0.3059 d4.loss_cls: 0.3559 d4.loss_bbox: 0.1453 d4.loss_iou: 0.3052 enc_loss_cls: 0.4190 enc_loss_bbox: 0.1710 enc_loss_iou: 0.3484 dn_loss_cls: 0.0903 dn_loss_bbox: 0.1643 dn_loss_iou: 0.2192 d0.dn_loss_cls: 0.1853 d0.dn_loss_bbox: 0.3201 d0.dn_loss_iou: 0.3719 d1.dn_loss_cls: 0.1272 d1.dn_loss_bbox: 0.1994 d1.dn_loss_iou: 0.2547 d2.dn_loss_cls: 0.1100 d2.dn_loss_bbox: 0.1746 d2.dn_loss_iou: 0.2296 d3.dn_loss_cls: 0.0963 d3.dn_loss_bbox: 0.1660 d3.dn_loss_iou: 0.2209 d4.dn_loss_cls: 0.0906 d4.dn_loss_bbox: 0.1641 d4.dn_loss_iou: 0.2191 d1.loss_lmm_region: 0.1155 loss_lmm_image: 0.8414 2024/11/03 16:35:49 - mmengine - INFO - Iter(train) [ 96800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:41:46 time: 0.9674 data_time: 0.0183 memory: 20727 grad_norm: 21.1691 loss: 9.4361 loss_cls: 0.2942 loss_bbox: 0.1391 loss_iou: 0.2555 d0.loss_cls: 0.3373 d0.loss_bbox: 0.1436 d0.loss_iou: 0.2638 d1.loss_cls: 0.3155 d1.loss_bbox: 0.1414 d1.loss_iou: 0.2612 d2.loss_cls: 0.3095 d2.loss_bbox: 0.1376 d2.loss_iou: 0.2531 d3.loss_cls: 0.3064 d3.loss_bbox: 0.1390 d3.loss_iou: 0.2559 d4.loss_cls: 0.2959 d4.loss_bbox: 0.1387 d4.loss_iou: 0.2553 enc_loss_cls: 0.3551 enc_loss_bbox: 0.1582 enc_loss_iou: 0.2863 dn_loss_cls: 0.0895 dn_loss_bbox: 0.1816 dn_loss_iou: 0.2221 d0.dn_loss_cls: 0.1654 d0.dn_loss_bbox: 0.3349 d0.dn_loss_iou: 0.3708 d1.dn_loss_cls: 0.1158 d1.dn_loss_bbox: 0.2136 d1.dn_loss_iou: 0.2567 d2.dn_loss_cls: 0.1013 d2.dn_loss_bbox: 0.1884 d2.dn_loss_iou: 0.2295 d3.dn_loss_cls: 0.0954 d3.dn_loss_bbox: 0.1821 d3.dn_loss_iou: 0.2234 d4.dn_loss_cls: 0.0895 d4.dn_loss_bbox: 0.1815 d4.dn_loss_iou: 0.2221 d1.loss_lmm_region: 0.1179 loss_lmm_image: 0.8121 2024/11/03 16:37:28 - mmengine - INFO - Iter(train) [ 96900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:40:06 time: 0.9675 data_time: 0.0184 memory: 20438 grad_norm: 22.6663 loss: 9.9328 loss_cls: 0.2718 loss_bbox: 0.1815 loss_iou: 0.2882 d0.loss_cls: 0.3129 d0.loss_bbox: 0.1887 d0.loss_iou: 0.2966 d1.loss_cls: 0.2907 d1.loss_bbox: 0.1858 d1.loss_iou: 0.2921 d2.loss_cls: 0.2830 d2.loss_bbox: 0.1786 d2.loss_iou: 0.2877 d3.loss_cls: 0.2762 d3.loss_bbox: 0.1821 d3.loss_iou: 0.2887 d4.loss_cls: 0.2718 d4.loss_bbox: 0.1822 d4.loss_iou: 0.2895 enc_loss_cls: 0.3272 enc_loss_bbox: 0.2038 enc_loss_iou: 0.3195 dn_loss_cls: 0.0699 dn_loss_bbox: 0.2003 dn_loss_iou: 0.2547 d0.dn_loss_cls: 0.1621 d0.dn_loss_bbox: 0.3503 d0.dn_loss_iou: 0.4025 d1.dn_loss_cls: 0.1060 d1.dn_loss_bbox: 0.2302 d1.dn_loss_iou: 0.2848 d2.dn_loss_cls: 0.0867 d2.dn_loss_bbox: 0.2088 d2.dn_loss_iou: 0.2624 d3.dn_loss_cls: 0.0769 d3.dn_loss_bbox: 0.2013 d3.dn_loss_iou: 0.2560 d4.dn_loss_cls: 0.0705 d4.dn_loss_bbox: 0.2003 d4.dn_loss_iou: 0.2547 d1.loss_lmm_region: 0.1272 loss_lmm_image: 0.7286 2024/11/03 16:39:05 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 16:39:05 - mmengine - INFO - Iter(train) [ 97000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:38:25 time: 0.9690 data_time: 0.0182 memory: 20388 grad_norm: 20.7859 loss: 9.0960 loss_cls: 0.3047 loss_bbox: 0.1277 loss_iou: 0.2358 d0.loss_cls: 0.3319 d0.loss_bbox: 0.1401 d0.loss_iou: 0.2528 d1.loss_cls: 0.3103 d1.loss_bbox: 0.1339 d1.loss_iou: 0.2432 d2.loss_cls: 0.3172 d2.loss_bbox: 0.1236 d2.loss_iou: 0.2359 d3.loss_cls: 0.3100 d3.loss_bbox: 0.1235 d3.loss_iou: 0.2343 d4.loss_cls: 0.3083 d4.loss_bbox: 0.1248 d4.loss_iou: 0.2351 enc_loss_cls: 0.3490 enc_loss_bbox: 0.1525 enc_loss_iou: 0.2772 dn_loss_cls: 0.0912 dn_loss_bbox: 0.1645 dn_loss_iou: 0.1991 d0.dn_loss_cls: 0.1718 d0.dn_loss_bbox: 0.3141 d0.dn_loss_iou: 0.3432 d1.dn_loss_cls: 0.1190 d1.dn_loss_bbox: 0.1989 d1.dn_loss_iou: 0.2312 d2.dn_loss_cls: 0.1045 d2.dn_loss_bbox: 0.1739 d2.dn_loss_iou: 0.2084 d3.dn_loss_cls: 0.0951 d3.dn_loss_bbox: 0.1652 d3.dn_loss_iou: 0.2001 d4.dn_loss_cls: 0.0905 d4.dn_loss_bbox: 0.1644 d4.dn_loss_iou: 0.1989 d1.loss_lmm_region: 0.1311 loss_lmm_image: 0.8592 2024/11/03 16:40:42 - mmengine - INFO - Iter(train) [ 97100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:36:44 time: 0.9670 data_time: 0.0182 memory: 21072 grad_norm: 21.7716 loss: 9.1270 loss_cls: 0.2933 loss_bbox: 0.1326 loss_iou: 0.2352 d0.loss_cls: 0.3232 d0.loss_bbox: 0.1430 d0.loss_iou: 0.2535 d1.loss_cls: 0.3108 d1.loss_bbox: 0.1372 d1.loss_iou: 0.2411 d2.loss_cls: 0.3020 d2.loss_bbox: 0.1353 d2.loss_iou: 0.2389 d3.loss_cls: 0.2971 d3.loss_bbox: 0.1351 d3.loss_iou: 0.2368 d4.loss_cls: 0.2941 d4.loss_bbox: 0.1324 d4.loss_iou: 0.2349 enc_loss_cls: 0.3401 enc_loss_bbox: 0.1572 enc_loss_iou: 0.2695 dn_loss_cls: 0.0778 dn_loss_bbox: 0.1780 dn_loss_iou: 0.2181 d0.dn_loss_cls: 0.1629 d0.dn_loss_bbox: 0.3197 d0.dn_loss_iou: 0.3591 d1.dn_loss_cls: 0.1112 d1.dn_loss_bbox: 0.2073 d1.dn_loss_iou: 0.2476 d2.dn_loss_cls: 0.0929 d2.dn_loss_bbox: 0.1880 d2.dn_loss_iou: 0.2261 d3.dn_loss_cls: 0.0819 d3.dn_loss_bbox: 0.1797 d3.dn_loss_iou: 0.2192 d4.dn_loss_cls: 0.0786 d4.dn_loss_bbox: 0.1778 d4.dn_loss_iou: 0.2179 d1.loss_lmm_region: 0.1409 loss_lmm_image: 0.7989 2024/11/03 16:42:20 - mmengine - INFO - Iter(train) [ 97200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:35:04 time: 0.9837 data_time: 0.0183 memory: 20905 grad_norm: 21.7048 loss: 9.0469 loss_cls: 0.2752 loss_bbox: 0.1366 loss_iou: 0.2518 d0.loss_cls: 0.3002 d0.loss_bbox: 0.1490 d0.loss_iou: 0.2689 d1.loss_cls: 0.2855 d1.loss_bbox: 0.1397 d1.loss_iou: 0.2589 d2.loss_cls: 0.2818 d2.loss_bbox: 0.1374 d2.loss_iou: 0.2539 d3.loss_cls: 0.2775 d3.loss_bbox: 0.1359 d3.loss_iou: 0.2506 d4.loss_cls: 0.2737 d4.loss_bbox: 0.1351 d4.loss_iou: 0.2508 enc_loss_cls: 0.3212 enc_loss_bbox: 0.1618 enc_loss_iou: 0.2924 dn_loss_cls: 0.0829 dn_loss_bbox: 0.1596 dn_loss_iou: 0.2089 d0.dn_loss_cls: 0.1629 d0.dn_loss_bbox: 0.3241 d0.dn_loss_iou: 0.3636 d1.dn_loss_cls: 0.1110 d1.dn_loss_bbox: 0.1942 d1.dn_loss_iou: 0.2419 d2.dn_loss_cls: 0.0983 d2.dn_loss_bbox: 0.1681 d2.dn_loss_iou: 0.2181 d3.dn_loss_cls: 0.0895 d3.dn_loss_bbox: 0.1602 d3.dn_loss_iou: 0.2108 d4.dn_loss_cls: 0.0844 d4.dn_loss_bbox: 0.1597 d4.dn_loss_iou: 0.2089 d1.loss_lmm_region: 0.1098 loss_lmm_image: 0.8520 2024/11/03 16:43:58 - mmengine - INFO - Iter(train) [ 97300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:33:24 time: 0.9799 data_time: 0.0183 memory: 21498 grad_norm: 26.1015 loss: 9.7038 loss_cls: 0.3360 loss_bbox: 0.1382 loss_iou: 0.2871 d0.loss_cls: 0.3666 d0.loss_bbox: 0.1483 d0.loss_iou: 0.3025 d1.loss_cls: 0.3500 d1.loss_bbox: 0.1415 d1.loss_iou: 0.2922 d2.loss_cls: 0.3466 d2.loss_bbox: 0.1376 d2.loss_iou: 0.2890 d3.loss_cls: 0.3406 d3.loss_bbox: 0.1374 d3.loss_iou: 0.2860 d4.loss_cls: 0.3377 d4.loss_bbox: 0.1371 d4.loss_iou: 0.2861 enc_loss_cls: 0.3908 enc_loss_bbox: 0.1609 enc_loss_iou: 0.3223 dn_loss_cls: 0.0962 dn_loss_bbox: 0.1388 dn_loss_iou: 0.2158 d0.dn_loss_cls: 0.1776 d0.dn_loss_bbox: 0.2645 d0.dn_loss_iou: 0.3514 d1.dn_loss_cls: 0.1280 d1.dn_loss_bbox: 0.1698 d1.dn_loss_iou: 0.2498 d2.dn_loss_cls: 0.1146 d2.dn_loss_bbox: 0.1485 d2.dn_loss_iou: 0.2244 d3.dn_loss_cls: 0.1041 d3.dn_loss_bbox: 0.1402 d3.dn_loss_iou: 0.2176 d4.dn_loss_cls: 0.0980 d4.dn_loss_bbox: 0.1389 d4.dn_loss_iou: 0.2158 d1.loss_lmm_region: 0.1248 loss_lmm_image: 0.8507 2024/11/03 16:45:35 - mmengine - INFO - Iter(train) [ 97400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:31:43 time: 0.9721 data_time: 0.0182 memory: 20137 grad_norm: 21.6438 loss: 9.0192 loss_cls: 0.3111 loss_bbox: 0.1122 loss_iou: 0.2414 d0.loss_cls: 0.3390 d0.loss_bbox: 0.1325 d0.loss_iou: 0.2592 d1.loss_cls: 0.3176 d1.loss_bbox: 0.1272 d1.loss_iou: 0.2540 d2.loss_cls: 0.3123 d2.loss_bbox: 0.1197 d2.loss_iou: 0.2479 d3.loss_cls: 0.3134 d3.loss_bbox: 0.1122 d3.loss_iou: 0.2396 d4.loss_cls: 0.3099 d4.loss_bbox: 0.1127 d4.loss_iou: 0.2433 enc_loss_cls: 0.3587 enc_loss_bbox: 0.1420 enc_loss_iou: 0.2805 dn_loss_cls: 0.1109 dn_loss_bbox: 0.1468 dn_loss_iou: 0.1958 d0.dn_loss_cls: 0.1735 d0.dn_loss_bbox: 0.2919 d0.dn_loss_iou: 0.3391 d1.dn_loss_cls: 0.1305 d1.dn_loss_bbox: 0.1777 d1.dn_loss_iou: 0.2283 d2.dn_loss_cls: 0.1173 d2.dn_loss_bbox: 0.1523 d2.dn_loss_iou: 0.2027 d3.dn_loss_cls: 0.1152 d3.dn_loss_bbox: 0.1479 d3.dn_loss_iou: 0.1969 d4.dn_loss_cls: 0.1123 d4.dn_loss_bbox: 0.1469 d4.dn_loss_iou: 0.1959 d1.loss_lmm_region: 0.1374 loss_lmm_image: 0.8135 2024/11/03 16:47:11 - mmengine - INFO - Iter(train) [ 97500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:30:02 time: 0.9540 data_time: 0.0184 memory: 20564 grad_norm: 22.1735 loss: 8.7524 loss_cls: 0.2532 loss_bbox: 0.1233 loss_iou: 0.2359 d0.loss_cls: 0.2842 d0.loss_bbox: 0.1399 d0.loss_iou: 0.2561 d1.loss_cls: 0.2707 d1.loss_bbox: 0.1254 d1.loss_iou: 0.2419 d2.loss_cls: 0.2600 d2.loss_bbox: 0.1249 d2.loss_iou: 0.2376 d3.loss_cls: 0.2560 d3.loss_bbox: 0.1238 d3.loss_iou: 0.2363 d4.loss_cls: 0.2530 d4.loss_bbox: 0.1231 d4.loss_iou: 0.2361 enc_loss_cls: 0.3083 enc_loss_bbox: 0.1536 enc_loss_iou: 0.2776 dn_loss_cls: 0.0744 dn_loss_bbox: 0.1565 dn_loss_iou: 0.2137 d0.dn_loss_cls: 0.1662 d0.dn_loss_bbox: 0.3215 d0.dn_loss_iou: 0.3697 d1.dn_loss_cls: 0.1089 d1.dn_loss_bbox: 0.2016 d1.dn_loss_iou: 0.2538 d2.dn_loss_cls: 0.0905 d2.dn_loss_bbox: 0.1658 d2.dn_loss_iou: 0.2224 d3.dn_loss_cls: 0.0813 d3.dn_loss_bbox: 0.1582 d3.dn_loss_iou: 0.2153 d4.dn_loss_cls: 0.0762 d4.dn_loss_bbox: 0.1565 d4.dn_loss_iou: 0.2137 d1.loss_lmm_region: 0.1531 loss_lmm_image: 0.8324 2024/11/03 16:48:48 - mmengine - INFO - Iter(train) [ 97600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:28:22 time: 0.9675 data_time: 0.0183 memory: 20789 grad_norm: 24.3906 loss: 9.5314 loss_cls: 0.3084 loss_bbox: 0.1478 loss_iou: 0.2574 d0.loss_cls: 0.3474 d0.loss_bbox: 0.1658 d0.loss_iou: 0.2768 d1.loss_cls: 0.3271 d1.loss_bbox: 0.1540 d1.loss_iou: 0.2647 d2.loss_cls: 0.3221 d2.loss_bbox: 0.1476 d2.loss_iou: 0.2594 d3.loss_cls: 0.3182 d3.loss_bbox: 0.1453 d3.loss_iou: 0.2559 d4.loss_cls: 0.3116 d4.loss_bbox: 0.1477 d4.loss_iou: 0.2580 enc_loss_cls: 0.3690 enc_loss_bbox: 0.1736 enc_loss_iou: 0.2914 dn_loss_cls: 0.0952 dn_loss_bbox: 0.1631 dn_loss_iou: 0.2145 d0.dn_loss_cls: 0.1818 d0.dn_loss_bbox: 0.3017 d0.dn_loss_iou: 0.3576 d1.dn_loss_cls: 0.1249 d1.dn_loss_bbox: 0.1958 d1.dn_loss_iou: 0.2481 d2.dn_loss_cls: 0.1074 d2.dn_loss_bbox: 0.1711 d2.dn_loss_iou: 0.2238 d3.dn_loss_cls: 0.0977 d3.dn_loss_bbox: 0.1645 d3.dn_loss_iou: 0.2163 d4.dn_loss_cls: 0.0946 d4.dn_loss_bbox: 0.1632 d4.dn_loss_iou: 0.2146 d1.loss_lmm_region: 0.1322 loss_lmm_image: 0.8143 2024/11/03 16:50:26 - mmengine - INFO - Iter(train) [ 97700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:26:41 time: 0.9764 data_time: 0.0182 memory: 20081 grad_norm: 24.1188 loss: 9.1645 loss_cls: 0.2749 loss_bbox: 0.1304 loss_iou: 0.2570 d0.loss_cls: 0.2990 d0.loss_bbox: 0.1507 d0.loss_iou: 0.2814 d1.loss_cls: 0.2923 d1.loss_bbox: 0.1364 d1.loss_iou: 0.2644 d2.loss_cls: 0.2860 d2.loss_bbox: 0.1305 d2.loss_iou: 0.2582 d3.loss_cls: 0.2822 d3.loss_bbox: 0.1293 d3.loss_iou: 0.2538 d4.loss_cls: 0.2747 d4.loss_bbox: 0.1311 d4.loss_iou: 0.2575 enc_loss_cls: 0.3165 enc_loss_bbox: 0.1644 enc_loss_iou: 0.3038 dn_loss_cls: 0.0847 dn_loss_bbox: 0.1513 dn_loss_iou: 0.2193 d0.dn_loss_cls: 0.1691 d0.dn_loss_bbox: 0.3000 d0.dn_loss_iou: 0.3701 d1.dn_loss_cls: 0.1163 d1.dn_loss_bbox: 0.1880 d1.dn_loss_iou: 0.2547 d2.dn_loss_cls: 0.1027 d2.dn_loss_bbox: 0.1628 d2.dn_loss_iou: 0.2287 d3.dn_loss_cls: 0.0924 d3.dn_loss_bbox: 0.1530 d3.dn_loss_iou: 0.2209 d4.dn_loss_cls: 0.0837 d4.dn_loss_bbox: 0.1513 d4.dn_loss_iou: 0.2193 d1.loss_lmm_region: 0.1230 loss_lmm_image: 0.8989 2024/11/03 16:52:03 - mmengine - INFO - Iter(train) [ 97800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:25:01 time: 0.9717 data_time: 0.0183 memory: 21551 grad_norm: 20.4778 loss: 8.9969 loss_cls: 0.2543 loss_bbox: 0.1305 loss_iou: 0.2329 d0.loss_cls: 0.2766 d0.loss_bbox: 0.1455 d0.loss_iou: 0.2507 d1.loss_cls: 0.2659 d1.loss_bbox: 0.1349 d1.loss_iou: 0.2378 d2.loss_cls: 0.2545 d2.loss_bbox: 0.1391 d2.loss_iou: 0.2374 d3.loss_cls: 0.2569 d3.loss_bbox: 0.1294 d3.loss_iou: 0.2334 d4.loss_cls: 0.2519 d4.loss_bbox: 0.1308 d4.loss_iou: 0.2348 enc_loss_cls: 0.2970 enc_loss_bbox: 0.1604 enc_loss_iou: 0.2771 dn_loss_cls: 0.0700 dn_loss_bbox: 0.1864 dn_loss_iou: 0.2420 d0.dn_loss_cls: 0.1636 d0.dn_loss_bbox: 0.3536 d0.dn_loss_iou: 0.4025 d1.dn_loss_cls: 0.1050 d1.dn_loss_bbox: 0.2224 d1.dn_loss_iou: 0.2753 d2.dn_loss_cls: 0.0882 d2.dn_loss_bbox: 0.1974 d2.dn_loss_iou: 0.2515 d3.dn_loss_cls: 0.0753 d3.dn_loss_bbox: 0.1877 d3.dn_loss_iou: 0.2434 d4.dn_loss_cls: 0.0705 d4.dn_loss_bbox: 0.1865 d4.dn_loss_iou: 0.2421 d1.loss_lmm_region: 0.1216 loss_lmm_image: 0.7804 2024/11/03 16:53:42 - mmengine - INFO - Iter(train) [ 97900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:23:20 time: 0.9930 data_time: 0.0183 memory: 21196 grad_norm: 22.7369 loss: 9.2593 loss_cls: 0.3021 loss_bbox: 0.1438 loss_iou: 0.2487 d0.loss_cls: 0.3360 d0.loss_bbox: 0.1534 d0.loss_iou: 0.2627 d1.loss_cls: 0.3252 d1.loss_bbox: 0.1459 d1.loss_iou: 0.2544 d2.loss_cls: 0.3142 d2.loss_bbox: 0.1419 d2.loss_iou: 0.2502 d3.loss_cls: 0.3069 d3.loss_bbox: 0.1403 d3.loss_iou: 0.2468 d4.loss_cls: 0.3090 d4.loss_bbox: 0.1396 d4.loss_iou: 0.2467 enc_loss_cls: 0.3466 enc_loss_bbox: 0.1760 enc_loss_iou: 0.2926 dn_loss_cls: 0.0751 dn_loss_bbox: 0.1605 dn_loss_iou: 0.2206 d0.dn_loss_cls: 0.1539 d0.dn_loss_bbox: 0.3128 d0.dn_loss_iou: 0.3633 d1.dn_loss_cls: 0.1029 d1.dn_loss_bbox: 0.1917 d1.dn_loss_iou: 0.2508 d2.dn_loss_cls: 0.0866 d2.dn_loss_bbox: 0.1692 d2.dn_loss_iou: 0.2288 d3.dn_loss_cls: 0.0799 d3.dn_loss_bbox: 0.1621 d3.dn_loss_iou: 0.2215 d4.dn_loss_cls: 0.0772 d4.dn_loss_bbox: 0.1605 d4.dn_loss_iou: 0.2205 d1.loss_lmm_region: 0.1348 loss_lmm_image: 0.8034 2024/11/03 16:55:18 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 16:55:18 - mmengine - INFO - Iter(train) [ 98000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:21:40 time: 0.9731 data_time: 0.0183 memory: 20878 grad_norm: 20.1515 loss: 9.7296 loss_cls: 0.3092 loss_bbox: 0.1508 loss_iou: 0.2679 d0.loss_cls: 0.3504 d0.loss_bbox: 0.1668 d0.loss_iou: 0.2857 d1.loss_cls: 0.3290 d1.loss_bbox: 0.1570 d1.loss_iou: 0.2723 d2.loss_cls: 0.3203 d2.loss_bbox: 0.1517 d2.loss_iou: 0.2676 d3.loss_cls: 0.3152 d3.loss_bbox: 0.1507 d3.loss_iou: 0.2680 d4.loss_cls: 0.3063 d4.loss_bbox: 0.1532 d4.loss_iou: 0.2697 enc_loss_cls: 0.3724 enc_loss_bbox: 0.1782 enc_loss_iou: 0.3083 dn_loss_cls: 0.0759 dn_loss_bbox: 0.1728 dn_loss_iou: 0.2293 d0.dn_loss_cls: 0.1779 d0.dn_loss_bbox: 0.3429 d0.dn_loss_iou: 0.3978 d1.dn_loss_cls: 0.1102 d1.dn_loss_bbox: 0.2129 d1.dn_loss_iou: 0.2700 d2.dn_loss_cls: 0.0910 d2.dn_loss_bbox: 0.1825 d2.dn_loss_iou: 0.2394 d3.dn_loss_cls: 0.0815 d3.dn_loss_bbox: 0.1739 d3.dn_loss_iou: 0.2305 d4.dn_loss_cls: 0.0770 d4.dn_loss_bbox: 0.1727 d4.dn_loss_iou: 0.2290 d1.loss_lmm_region: 0.1331 loss_lmm_image: 0.7787 2024/11/03 16:56:55 - mmengine - INFO - Iter(train) [ 98100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:19:59 time: 0.9577 data_time: 0.0185 memory: 20363 grad_norm: 21.2403 loss: 8.8021 loss_cls: 0.2541 loss_bbox: 0.1383 loss_iou: 0.2574 d0.loss_cls: 0.2918 d0.loss_bbox: 0.1443 d0.loss_iou: 0.2687 d1.loss_cls: 0.2759 d1.loss_bbox: 0.1373 d1.loss_iou: 0.2575 d2.loss_cls: 0.2700 d2.loss_bbox: 0.1359 d2.loss_iou: 0.2567 d3.loss_cls: 0.2625 d3.loss_bbox: 0.1385 d3.loss_iou: 0.2573 d4.loss_cls: 0.2551 d4.loss_bbox: 0.1385 d4.loss_iou: 0.2574 enc_loss_cls: 0.3161 enc_loss_bbox: 0.1572 enc_loss_iou: 0.2881 dn_loss_cls: 0.0877 dn_loss_bbox: 0.1414 dn_loss_iou: 0.2134 d0.dn_loss_cls: 0.1618 d0.dn_loss_bbox: 0.2651 d0.dn_loss_iou: 0.3411 d1.dn_loss_cls: 0.1133 d1.dn_loss_bbox: 0.1668 d1.dn_loss_iou: 0.2438 d2.dn_loss_cls: 0.0991 d2.dn_loss_bbox: 0.1478 d2.dn_loss_iou: 0.2197 d3.dn_loss_cls: 0.0943 d3.dn_loss_bbox: 0.1417 d3.dn_loss_iou: 0.2140 d4.dn_loss_cls: 0.0891 d4.dn_loss_bbox: 0.1413 d4.dn_loss_iou: 0.2133 d1.loss_lmm_region: 0.1277 loss_lmm_image: 0.8209 2024/11/03 16:58:32 - mmengine - INFO - Iter(train) [ 98200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:18:18 time: 0.9608 data_time: 0.0184 memory: 22087 grad_norm: 29.8935 loss: 9.2274 loss_cls: 0.2999 loss_bbox: 0.1299 loss_iou: 0.2470 d0.loss_cls: 0.3322 d0.loss_bbox: 0.1421 d0.loss_iou: 0.2671 d1.loss_cls: 0.3201 d1.loss_bbox: 0.1342 d1.loss_iou: 0.2538 d2.loss_cls: 0.3105 d2.loss_bbox: 0.1322 d2.loss_iou: 0.2490 d3.loss_cls: 0.3051 d3.loss_bbox: 0.1312 d3.loss_iou: 0.2476 d4.loss_cls: 0.2994 d4.loss_bbox: 0.1300 d4.loss_iou: 0.2469 enc_loss_cls: 0.3482 enc_loss_bbox: 0.1611 enc_loss_iou: 0.2885 dn_loss_cls: 0.0976 dn_loss_bbox: 0.1610 dn_loss_iou: 0.2113 d0.dn_loss_cls: 0.1754 d0.dn_loss_bbox: 0.3154 d0.dn_loss_iou: 0.3536 d1.dn_loss_cls: 0.1234 d1.dn_loss_bbox: 0.2003 d1.dn_loss_iou: 0.2472 d2.dn_loss_cls: 0.1062 d2.dn_loss_bbox: 0.1731 d2.dn_loss_iou: 0.2217 d3.dn_loss_cls: 0.1017 d3.dn_loss_bbox: 0.1629 d3.dn_loss_iou: 0.2122 d4.dn_loss_cls: 0.0984 d4.dn_loss_bbox: 0.1611 d4.dn_loss_iou: 0.2113 d1.loss_lmm_region: 0.1323 loss_lmm_image: 0.7854 2024/11/03 17:00:09 - mmengine - INFO - Iter(train) [ 98300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:16:37 time: 0.9640 data_time: 0.0183 memory: 20197 grad_norm: 24.9841 loss: 10.9231 loss_cls: 0.3562 loss_bbox: 0.1704 loss_iou: 0.2959 d0.loss_cls: 0.3842 d0.loss_bbox: 0.2048 d0.loss_iou: 0.3286 d1.loss_cls: 0.3651 d1.loss_bbox: 0.1918 d1.loss_iou: 0.3096 d2.loss_cls: 0.3669 d2.loss_bbox: 0.1798 d2.loss_iou: 0.3028 d3.loss_cls: 0.3636 d3.loss_bbox: 0.1744 d3.loss_iou: 0.2955 d4.loss_cls: 0.3571 d4.loss_bbox: 0.1703 d4.loss_iou: 0.2988 enc_loss_cls: 0.4107 enc_loss_bbox: 0.2243 enc_loss_iou: 0.3479 dn_loss_cls: 0.1120 dn_loss_bbox: 0.1959 dn_loss_iou: 0.2487 d0.dn_loss_cls: 0.2024 d0.dn_loss_bbox: 0.3570 d0.dn_loss_iou: 0.3998 d1.dn_loss_cls: 0.1465 d1.dn_loss_bbox: 0.2331 d1.dn_loss_iou: 0.2845 d2.dn_loss_cls: 0.1313 d2.dn_loss_bbox: 0.2043 d2.dn_loss_iou: 0.2577 d3.dn_loss_cls: 0.1189 d3.dn_loss_bbox: 0.1985 d3.dn_loss_iou: 0.2504 d4.dn_loss_cls: 0.1135 d4.dn_loss_bbox: 0.1964 d4.dn_loss_iou: 0.2488 d1.loss_lmm_region: 0.1595 loss_lmm_image: 0.7649 2024/11/03 17:01:46 - mmengine - INFO - Iter(train) [ 98400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:14:57 time: 0.9630 data_time: 0.0183 memory: 21621 grad_norm: 19.7814 loss: 9.4010 loss_cls: 0.2807 loss_bbox: 0.1565 loss_iou: 0.2627 d0.loss_cls: 0.3130 d0.loss_bbox: 0.1730 d0.loss_iou: 0.2868 d1.loss_cls: 0.2957 d1.loss_bbox: 0.1620 d1.loss_iou: 0.2764 d2.loss_cls: 0.2897 d2.loss_bbox: 0.1571 d2.loss_iou: 0.2660 d3.loss_cls: 0.2861 d3.loss_bbox: 0.1568 d3.loss_iou: 0.2647 d4.loss_cls: 0.2808 d4.loss_bbox: 0.1565 d4.loss_iou: 0.2627 enc_loss_cls: 0.3279 enc_loss_bbox: 0.1830 enc_loss_iou: 0.3078 dn_loss_cls: 0.0815 dn_loss_bbox: 0.1610 dn_loss_iou: 0.2236 d0.dn_loss_cls: 0.1667 d0.dn_loss_bbox: 0.3147 d0.dn_loss_iou: 0.3737 d1.dn_loss_cls: 0.1135 d1.dn_loss_bbox: 0.1926 d1.dn_loss_iou: 0.2558 d2.dn_loss_cls: 0.0986 d2.dn_loss_bbox: 0.1710 d2.dn_loss_iou: 0.2313 d3.dn_loss_cls: 0.0892 d3.dn_loss_bbox: 0.1629 d3.dn_loss_iou: 0.2249 d4.dn_loss_cls: 0.0848 d4.dn_loss_bbox: 0.1611 d4.dn_loss_iou: 0.2237 d1.loss_lmm_region: 0.1493 loss_lmm_image: 0.7751 2024/11/03 17:03:23 - mmengine - INFO - Iter(train) [ 98500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:13:16 time: 0.9754 data_time: 0.0184 memory: 19750 grad_norm: 21.0502 loss: 8.6433 loss_cls: 0.2546 loss_bbox: 0.1207 loss_iou: 0.2096 d0.loss_cls: 0.2823 d0.loss_bbox: 0.1253 d0.loss_iou: 0.2190 d1.loss_cls: 0.2664 d1.loss_bbox: 0.1201 d1.loss_iou: 0.2077 d2.loss_cls: 0.2639 d2.loss_bbox: 0.1184 d2.loss_iou: 0.2073 d3.loss_cls: 0.2611 d3.loss_bbox: 0.1174 d3.loss_iou: 0.2070 d4.loss_cls: 0.2566 d4.loss_bbox: 0.1194 d4.loss_iou: 0.2086 enc_loss_cls: 0.3011 enc_loss_bbox: 0.1435 enc_loss_iou: 0.2355 dn_loss_cls: 0.0761 dn_loss_bbox: 0.1892 dn_loss_iou: 0.2164 d0.dn_loss_cls: 0.1687 d0.dn_loss_bbox: 0.3829 d0.dn_loss_iou: 0.3766 d1.dn_loss_cls: 0.1133 d1.dn_loss_bbox: 0.2376 d1.dn_loss_iou: 0.2535 d2.dn_loss_cls: 0.0925 d2.dn_loss_bbox: 0.1995 d2.dn_loss_iou: 0.2254 d3.dn_loss_cls: 0.0820 d3.dn_loss_bbox: 0.1900 d3.dn_loss_iou: 0.2175 d4.dn_loss_cls: 0.0780 d4.dn_loss_bbox: 0.1891 d4.dn_loss_iou: 0.2163 d1.loss_lmm_region: 0.1164 loss_lmm_image: 0.7769 2024/11/03 17:05:01 - mmengine - INFO - Iter(train) [ 98600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:11:36 time: 0.9725 data_time: 0.0183 memory: 20772 grad_norm: 20.8371 loss: 9.6453 loss_cls: 0.3100 loss_bbox: 0.1416 loss_iou: 0.2893 d0.loss_cls: 0.3522 d0.loss_bbox: 0.1487 d0.loss_iou: 0.3060 d1.loss_cls: 0.3273 d1.loss_bbox: 0.1506 d1.loss_iou: 0.2964 d2.loss_cls: 0.3197 d2.loss_bbox: 0.1432 d2.loss_iou: 0.2915 d3.loss_cls: 0.3163 d3.loss_bbox: 0.1397 d3.loss_iou: 0.2895 d4.loss_cls: 0.3130 d4.loss_bbox: 0.1401 d4.loss_iou: 0.2901 enc_loss_cls: 0.3656 enc_loss_bbox: 0.1693 enc_loss_iou: 0.3295 dn_loss_cls: 0.0894 dn_loss_bbox: 0.1483 dn_loss_iou: 0.2279 d0.dn_loss_cls: 0.1747 d0.dn_loss_bbox: 0.2926 d0.dn_loss_iou: 0.3816 d1.dn_loss_cls: 0.1193 d1.dn_loss_bbox: 0.1812 d1.dn_loss_iou: 0.2639 d2.dn_loss_cls: 0.1037 d2.dn_loss_bbox: 0.1582 d2.dn_loss_iou: 0.2385 d3.dn_loss_cls: 0.0940 d3.dn_loss_bbox: 0.1503 d3.dn_loss_iou: 0.2300 d4.dn_loss_cls: 0.0902 d4.dn_loss_bbox: 0.1483 d4.dn_loss_iou: 0.2279 d1.loss_lmm_region: 0.1232 loss_lmm_image: 0.7723 2024/11/03 17:06:37 - mmengine - INFO - Iter(train) [ 98700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:09:55 time: 0.9652 data_time: 0.0186 memory: 20956 grad_norm: 21.4630 loss: 9.2319 loss_cls: 0.2747 loss_bbox: 0.1434 loss_iou: 0.2666 d0.loss_cls: 0.3136 d0.loss_bbox: 0.1500 d0.loss_iou: 0.2767 d1.loss_cls: 0.2912 d1.loss_bbox: 0.1483 d1.loss_iou: 0.2718 d2.loss_cls: 0.2861 d2.loss_bbox: 0.1424 d2.loss_iou: 0.2690 d3.loss_cls: 0.2795 d3.loss_bbox: 0.1421 d3.loss_iou: 0.2678 d4.loss_cls: 0.2765 d4.loss_bbox: 0.1417 d4.loss_iou: 0.2682 enc_loss_cls: 0.3267 enc_loss_bbox: 0.1658 enc_loss_iou: 0.3013 dn_loss_cls: 0.0740 dn_loss_bbox: 0.1598 dn_loss_iou: 0.2227 d0.dn_loss_cls: 0.1587 d0.dn_loss_bbox: 0.3382 d0.dn_loss_iou: 0.3811 d1.dn_loss_cls: 0.1052 d1.dn_loss_bbox: 0.2074 d1.dn_loss_iou: 0.2608 d2.dn_loss_cls: 0.0882 d2.dn_loss_bbox: 0.1734 d2.dn_loss_iou: 0.2334 d3.dn_loss_cls: 0.0779 d3.dn_loss_bbox: 0.1626 d3.dn_loss_iou: 0.2251 d4.dn_loss_cls: 0.0742 d4.dn_loss_bbox: 0.1598 d4.dn_loss_iou: 0.2228 d1.loss_lmm_region: 0.1157 loss_lmm_image: 0.7872 2024/11/03 17:08:14 - mmengine - INFO - Iter(train) [ 98800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:08:14 time: 0.9754 data_time: 0.0183 memory: 20777 grad_norm: nan loss: 9.2908 loss_cls: 0.2793 loss_bbox: 0.1291 loss_iou: 0.2548 d0.loss_cls: 0.3154 d0.loss_bbox: 0.1404 d0.loss_iou: 0.2698 d1.loss_cls: 0.2940 d1.loss_bbox: 0.1330 d1.loss_iou: 0.2604 d2.loss_cls: 0.2845 d2.loss_bbox: 0.1308 d2.loss_iou: 0.2570 d3.loss_cls: 0.2863 d3.loss_bbox: 0.1269 d3.loss_iou: 0.2526 d4.loss_cls: 0.2811 d4.loss_bbox: 0.1284 d4.loss_iou: 0.2554 enc_loss_cls: 0.3324 enc_loss_bbox: 0.1553 enc_loss_iou: 0.2848 dn_loss_cls: 0.0943 dn_loss_bbox: 0.1772 dn_loss_iou: 0.2318 d0.dn_loss_cls: 0.1785 d0.dn_loss_bbox: 0.3314 d0.dn_loss_iou: 0.3791 d1.dn_loss_cls: 0.1231 d1.dn_loss_bbox: 0.2097 d1.dn_loss_iou: 0.2625 d2.dn_loss_cls: 0.1084 d2.dn_loss_bbox: 0.1867 d2.dn_loss_iou: 0.2403 d3.dn_loss_cls: 0.0978 d3.dn_loss_bbox: 0.1795 d3.dn_loss_iou: 0.2332 d4.dn_loss_cls: 0.0937 d4.dn_loss_bbox: 0.1774 d4.dn_loss_iou: 0.2317 d1.loss_lmm_region: 0.1254 loss_lmm_image: 0.7776 2024/11/03 17:09:52 - mmengine - INFO - Iter(train) [ 98900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:06:34 time: 0.9773 data_time: 0.0184 memory: 21571 grad_norm: 23.7501 loss: 9.7208 loss_cls: 0.3222 loss_bbox: 0.1625 loss_iou: 0.2558 d0.loss_cls: 0.3537 d0.loss_bbox: 0.1764 d0.loss_iou: 0.2766 d1.loss_cls: 0.3423 d1.loss_bbox: 0.1672 d1.loss_iou: 0.2632 d2.loss_cls: 0.3339 d2.loss_bbox: 0.1632 d2.loss_iou: 0.2605 d3.loss_cls: 0.3297 d3.loss_bbox: 0.1609 d3.loss_iou: 0.2587 d4.loss_cls: 0.3237 d4.loss_bbox: 0.1614 d4.loss_iou: 0.2558 enc_loss_cls: 0.3810 enc_loss_bbox: 0.1854 enc_loss_iou: 0.2971 dn_loss_cls: 0.0837 dn_loss_bbox: 0.1692 dn_loss_iou: 0.2187 d0.dn_loss_cls: 0.1735 d0.dn_loss_bbox: 0.3274 d0.dn_loss_iou: 0.3637 d1.dn_loss_cls: 0.1165 d1.dn_loss_bbox: 0.2028 d1.dn_loss_iou: 0.2505 d2.dn_loss_cls: 0.0992 d2.dn_loss_bbox: 0.1790 d2.dn_loss_iou: 0.2283 d3.dn_loss_cls: 0.0886 d3.dn_loss_bbox: 0.1704 d3.dn_loss_iou: 0.2205 d4.dn_loss_cls: 0.0847 d4.dn_loss_bbox: 0.1693 d4.dn_loss_iou: 0.2187 d1.loss_lmm_region: 0.1535 loss_lmm_image: 0.7715 2024/11/03 17:11:29 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 17:11:29 - mmengine - INFO - Iter(train) [ 99000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:04:53 time: 0.9712 data_time: 0.0182 memory: 20240 grad_norm: 23.9561 loss: 9.0361 loss_cls: 0.2947 loss_bbox: 0.1206 loss_iou: 0.2136 d0.loss_cls: 0.3255 d0.loss_bbox: 0.1352 d0.loss_iou: 0.2298 d1.loss_cls: 0.3083 d1.loss_bbox: 0.1271 d1.loss_iou: 0.2188 d2.loss_cls: 0.3059 d2.loss_bbox: 0.1220 d2.loss_iou: 0.2123 d3.loss_cls: 0.3051 d3.loss_bbox: 0.1205 d3.loss_iou: 0.2122 d4.loss_cls: 0.2975 d4.loss_bbox: 0.1207 d4.loss_iou: 0.2119 enc_loss_cls: 0.3432 enc_loss_bbox: 0.1482 enc_loss_iou: 0.2500 dn_loss_cls: 0.0879 dn_loss_bbox: 0.1884 dn_loss_iou: 0.2184 d0.dn_loss_cls: 0.1771 d0.dn_loss_bbox: 0.3500 d0.dn_loss_iou: 0.3708 d1.dn_loss_cls: 0.1210 d1.dn_loss_bbox: 0.2235 d1.dn_loss_iou: 0.2518 d2.dn_loss_cls: 0.1023 d2.dn_loss_bbox: 0.1980 d2.dn_loss_iou: 0.2272 d3.dn_loss_cls: 0.0931 d3.dn_loss_bbox: 0.1896 d3.dn_loss_iou: 0.2202 d4.dn_loss_cls: 0.0881 d4.dn_loss_bbox: 0.1883 d4.dn_loss_iou: 0.2183 d1.loss_lmm_region: 0.1364 loss_lmm_image: 0.7627 2024/11/03 17:13:06 - mmengine - INFO - Iter(train) [ 99100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:03:12 time: 0.9556 data_time: 0.0183 memory: 22233 grad_norm: 21.5545 loss: 9.0998 loss_cls: 0.2852 loss_bbox: 0.1469 loss_iou: 0.2507 d0.loss_cls: 0.3121 d0.loss_bbox: 0.1647 d0.loss_iou: 0.2677 d1.loss_cls: 0.3025 d1.loss_bbox: 0.1494 d1.loss_iou: 0.2542 d2.loss_cls: 0.2937 d2.loss_bbox: 0.1455 d2.loss_iou: 0.2478 d3.loss_cls: 0.2851 d3.loss_bbox: 0.1487 d3.loss_iou: 0.2509 d4.loss_cls: 0.2858 d4.loss_bbox: 0.1477 d4.loss_iou: 0.2521 enc_loss_cls: 0.3340 enc_loss_bbox: 0.1744 enc_loss_iou: 0.2885 dn_loss_cls: 0.0750 dn_loss_bbox: 0.1580 dn_loss_iou: 0.2090 d0.dn_loss_cls: 0.1557 d0.dn_loss_bbox: 0.2962 d0.dn_loss_iou: 0.3534 d1.dn_loss_cls: 0.1031 d1.dn_loss_bbox: 0.1876 d1.dn_loss_iou: 0.2415 d2.dn_loss_cls: 0.0883 d2.dn_loss_bbox: 0.1653 d2.dn_loss_iou: 0.2170 d3.dn_loss_cls: 0.0794 d3.dn_loss_bbox: 0.1595 d3.dn_loss_iou: 0.2107 d4.dn_loss_cls: 0.0762 d4.dn_loss_bbox: 0.1581 d4.dn_loss_iou: 0.2090 d1.loss_lmm_region: 0.1287 loss_lmm_image: 0.8405 2024/11/03 17:14:43 - mmengine - INFO - Iter(train) [ 99200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:01:32 time: 0.9659 data_time: 0.0183 memory: 20354 grad_norm: 19.9610 loss: 11.0021 loss_cls: 0.3169 loss_bbox: 0.1963 loss_iou: 0.3324 d0.loss_cls: 0.3662 d0.loss_bbox: 0.2048 d0.loss_iou: 0.3420 d1.loss_cls: 0.3411 d1.loss_bbox: 0.1963 d1.loss_iou: 0.3357 d2.loss_cls: 0.3369 d2.loss_bbox: 0.1904 d2.loss_iou: 0.3311 d3.loss_cls: 0.3250 d3.loss_bbox: 0.1975 d3.loss_iou: 0.3332 d4.loss_cls: 0.3173 d4.loss_bbox: 0.1969 d4.loss_iou: 0.3324 enc_loss_cls: 0.3756 enc_loss_bbox: 0.2176 enc_loss_iou: 0.3660 dn_loss_cls: 0.1008 dn_loss_bbox: 0.2017 dn_loss_iou: 0.2569 d0.dn_loss_cls: 0.1826 d0.dn_loss_bbox: 0.3560 d0.dn_loss_iou: 0.4096 d1.dn_loss_cls: 0.1273 d1.dn_loss_bbox: 0.2294 d1.dn_loss_iou: 0.2875 d2.dn_loss_cls: 0.1127 d2.dn_loss_bbox: 0.2092 d2.dn_loss_iou: 0.2648 d3.dn_loss_cls: 0.1041 d3.dn_loss_bbox: 0.2023 d3.dn_loss_iou: 0.2579 d4.dn_loss_cls: 0.1012 d4.dn_loss_bbox: 0.2016 d4.dn_loss_iou: 0.2569 d1.loss_lmm_region: 0.1651 loss_lmm_image: 0.8228 2024/11/03 17:16:21 - mmengine - INFO - Iter(train) [ 99300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:59:52 time: 0.9780 data_time: 0.0183 memory: 21191 grad_norm: 20.5248 loss: 9.5268 loss_cls: 0.2747 loss_bbox: 0.1509 loss_iou: 0.2630 d0.loss_cls: 0.3069 d0.loss_bbox: 0.1624 d0.loss_iou: 0.2763 d1.loss_cls: 0.2911 d1.loss_bbox: 0.1549 d1.loss_iou: 0.2667 d2.loss_cls: 0.2776 d2.loss_bbox: 0.1541 d2.loss_iou: 0.2680 d3.loss_cls: 0.2771 d3.loss_bbox: 0.1534 d3.loss_iou: 0.2649 d4.loss_cls: 0.2752 d4.loss_bbox: 0.1500 d4.loss_iou: 0.2626 enc_loss_cls: 0.3214 enc_loss_bbox: 0.1784 enc_loss_iou: 0.3002 dn_loss_cls: 0.0631 dn_loss_bbox: 0.1921 dn_loss_iou: 0.2451 d0.dn_loss_cls: 0.1612 d0.dn_loss_bbox: 0.3529 d0.dn_loss_iou: 0.4080 d1.dn_loss_cls: 0.0944 d1.dn_loss_bbox: 0.2320 d1.dn_loss_iou: 0.2846 d2.dn_loss_cls: 0.0782 d2.dn_loss_bbox: 0.2003 d2.dn_loss_iou: 0.2546 d3.dn_loss_cls: 0.0668 d3.dn_loss_bbox: 0.1927 d3.dn_loss_iou: 0.2464 d4.dn_loss_cls: 0.0630 d4.dn_loss_bbox: 0.1921 d4.dn_loss_iou: 0.2453 d1.loss_lmm_region: 0.1412 loss_lmm_image: 0.7832 2024/11/03 17:17:58 - mmengine - INFO - Iter(train) [ 99400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:58:11 time: 0.9792 data_time: 0.0184 memory: 21402 grad_norm: 20.9184 loss: 10.1883 loss_cls: 0.3275 loss_bbox: 0.1644 loss_iou: 0.2898 d0.loss_cls: 0.3662 d0.loss_bbox: 0.1798 d0.loss_iou: 0.3139 d1.loss_cls: 0.3500 d1.loss_bbox: 0.1754 d1.loss_iou: 0.3028 d2.loss_cls: 0.3419 d2.loss_bbox: 0.1657 d2.loss_iou: 0.2924 d3.loss_cls: 0.3347 d3.loss_bbox: 0.1665 d3.loss_iou: 0.2907 d4.loss_cls: 0.3285 d4.loss_bbox: 0.1644 d4.loss_iou: 0.2892 enc_loss_cls: 0.3858 enc_loss_bbox: 0.2003 enc_loss_iou: 0.3374 dn_loss_cls: 0.0900 dn_loss_bbox: 0.1735 dn_loss_iou: 0.2265 d0.dn_loss_cls: 0.1866 d0.dn_loss_bbox: 0.3181 d0.dn_loss_iou: 0.3722 d1.dn_loss_cls: 0.1265 d1.dn_loss_bbox: 0.2059 d1.dn_loss_iou: 0.2601 d2.dn_loss_cls: 0.1077 d2.dn_loss_bbox: 0.1836 d2.dn_loss_iou: 0.2365 d3.dn_loss_cls: 0.0956 d3.dn_loss_bbox: 0.1748 d3.dn_loss_iou: 0.2279 d4.dn_loss_cls: 0.0904 d4.dn_loss_bbox: 0.1735 d4.dn_loss_iou: 0.2264 d1.loss_lmm_region: 0.1269 loss_lmm_image: 0.8185 2024/11/03 17:19:35 - mmengine - INFO - Iter(train) [ 99500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:56:31 time: 0.9741 data_time: 0.0184 memory: 20616 grad_norm: 29.9618 loss: 9.7690 loss_cls: 0.2968 loss_bbox: 0.1395 loss_iou: 0.3013 d0.loss_cls: 0.3260 d0.loss_bbox: 0.1599 d0.loss_iou: 0.3230 d1.loss_cls: 0.3057 d1.loss_bbox: 0.1515 d1.loss_iou: 0.3132 d2.loss_cls: 0.3077 d2.loss_bbox: 0.1396 d2.loss_iou: 0.3028 d3.loss_cls: 0.3022 d3.loss_bbox: 0.1390 d3.loss_iou: 0.3018 d4.loss_cls: 0.3003 d4.loss_bbox: 0.1372 d4.loss_iou: 0.2994 enc_loss_cls: 0.3543 enc_loss_bbox: 0.1718 enc_loss_iou: 0.3377 dn_loss_cls: 0.0877 dn_loss_bbox: 0.1727 dn_loss_iou: 0.2288 d0.dn_loss_cls: 0.1673 d0.dn_loss_bbox: 0.3156 d0.dn_loss_iou: 0.3707 d1.dn_loss_cls: 0.1168 d1.dn_loss_bbox: 0.2113 d1.dn_loss_iou: 0.2652 d2.dn_loss_cls: 0.1031 d2.dn_loss_bbox: 0.1831 d2.dn_loss_iou: 0.2385 d3.dn_loss_cls: 0.0932 d3.dn_loss_bbox: 0.1755 d3.dn_loss_iou: 0.2309 d4.dn_loss_cls: 0.0888 d4.dn_loss_bbox: 0.1728 d4.dn_loss_iou: 0.2288 d1.loss_lmm_region: 0.1204 loss_lmm_image: 0.7867 2024/11/03 17:21:12 - mmengine - INFO - Iter(train) [ 99600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:54:50 time: 0.9713 data_time: 0.0183 memory: 20104 grad_norm: 20.8862 loss: 10.1063 loss_cls: 0.3406 loss_bbox: 0.1647 loss_iou: 0.2849 d0.loss_cls: 0.3722 d0.loss_bbox: 0.1757 d0.loss_iou: 0.2982 d1.loss_cls: 0.3501 d1.loss_bbox: 0.1763 d1.loss_iou: 0.2925 d2.loss_cls: 0.3519 d2.loss_bbox: 0.1658 d2.loss_iou: 0.2860 d3.loss_cls: 0.3481 d3.loss_bbox: 0.1619 d3.loss_iou: 0.2840 d4.loss_cls: 0.3420 d4.loss_bbox: 0.1651 d4.loss_iou: 0.2846 enc_loss_cls: 0.3953 enc_loss_bbox: 0.1900 enc_loss_iou: 0.3198 dn_loss_cls: 0.0880 dn_loss_bbox: 0.1737 dn_loss_iou: 0.2215 d0.dn_loss_cls: 0.1753 d0.dn_loss_bbox: 0.3286 d0.dn_loss_iou: 0.3693 d1.dn_loss_cls: 0.1157 d1.dn_loss_bbox: 0.2071 d1.dn_loss_iou: 0.2527 d2.dn_loss_cls: 0.1015 d2.dn_loss_bbox: 0.1801 d2.dn_loss_iou: 0.2287 d3.dn_loss_cls: 0.0915 d3.dn_loss_bbox: 0.1741 d3.dn_loss_iou: 0.2227 d4.dn_loss_cls: 0.0886 d4.dn_loss_bbox: 0.1738 d4.dn_loss_iou: 0.2214 d1.loss_lmm_region: 0.1438 loss_lmm_image: 0.7984 2024/11/03 17:22:48 - mmengine - INFO - Iter(train) [ 99700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:53:09 time: 0.9631 data_time: 0.0183 memory: 20392 grad_norm: 20.5721 loss: 9.6643 loss_cls: 0.3103 loss_bbox: 0.1486 loss_iou: 0.2700 d0.loss_cls: 0.3369 d0.loss_bbox: 0.1600 d0.loss_iou: 0.2864 d1.loss_cls: 0.3221 d1.loss_bbox: 0.1530 d1.loss_iou: 0.2773 d2.loss_cls: 0.3145 d2.loss_bbox: 0.1491 d2.loss_iou: 0.2733 d3.loss_cls: 0.3136 d3.loss_bbox: 0.1486 d3.loss_iou: 0.2699 d4.loss_cls: 0.3072 d4.loss_bbox: 0.1529 d4.loss_iou: 0.2725 enc_loss_cls: 0.3607 enc_loss_bbox: 0.1732 enc_loss_iou: 0.3110 dn_loss_cls: 0.0832 dn_loss_bbox: 0.1686 dn_loss_iou: 0.2282 d0.dn_loss_cls: 0.1734 d0.dn_loss_bbox: 0.3185 d0.dn_loss_iou: 0.3732 d1.dn_loss_cls: 0.1138 d1.dn_loss_bbox: 0.2066 d1.dn_loss_iou: 0.2639 d2.dn_loss_cls: 0.0981 d2.dn_loss_bbox: 0.1789 d2.dn_loss_iou: 0.2381 d3.dn_loss_cls: 0.0878 d3.dn_loss_bbox: 0.1711 d3.dn_loss_iou: 0.2298 d4.dn_loss_cls: 0.0840 d4.dn_loss_bbox: 0.1685 d4.dn_loss_iou: 0.2281 d1.loss_lmm_region: 0.1191 loss_lmm_image: 0.8204 2024/11/03 17:24:25 - mmengine - INFO - Iter(train) [ 99800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:51:28 time: 0.9710 data_time: 0.0183 memory: 20729 grad_norm: 23.6570 loss: 9.9854 loss_cls: 0.3156 loss_bbox: 0.1541 loss_iou: 0.2840 d0.loss_cls: 0.3466 d0.loss_bbox: 0.1731 d0.loss_iou: 0.3093 d1.loss_cls: 0.3362 d1.loss_bbox: 0.1594 d1.loss_iou: 0.2890 d2.loss_cls: 0.3241 d2.loss_bbox: 0.1593 d2.loss_iou: 0.2880 d3.loss_cls: 0.3161 d3.loss_bbox: 0.1571 d3.loss_iou: 0.2856 d4.loss_cls: 0.3163 d4.loss_bbox: 0.1545 d4.loss_iou: 0.2846 enc_loss_cls: 0.3688 enc_loss_bbox: 0.1840 enc_loss_iou: 0.3302 dn_loss_cls: 0.1111 dn_loss_bbox: 0.1610 dn_loss_iou: 0.2232 d0.dn_loss_cls: 0.1884 d0.dn_loss_bbox: 0.3171 d0.dn_loss_iou: 0.3757 d1.dn_loss_cls: 0.1402 d1.dn_loss_bbox: 0.1955 d1.dn_loss_iou: 0.2593 d2.dn_loss_cls: 0.1239 d2.dn_loss_bbox: 0.1709 d2.dn_loss_iou: 0.2339 d3.dn_loss_cls: 0.1147 d3.dn_loss_bbox: 0.1631 d3.dn_loss_iou: 0.2253 d4.dn_loss_cls: 0.1106 d4.dn_loss_bbox: 0.1610 d4.dn_loss_iou: 0.2233 d1.loss_lmm_region: 0.1340 loss_lmm_image: 0.8174 2024/11/03 17:26:03 - mmengine - INFO - Iter(train) [ 99900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:49:48 time: 0.9767 data_time: 0.0183 memory: 20958 grad_norm: 30.4718 loss: 10.0810 loss_cls: 0.3074 loss_bbox: 0.1667 loss_iou: 0.3246 d0.loss_cls: 0.3472 d0.loss_bbox: 0.1791 d0.loss_iou: 0.3510 d1.loss_cls: 0.3285 d1.loss_bbox: 0.1675 d1.loss_iou: 0.3353 d2.loss_cls: 0.3175 d2.loss_bbox: 0.1666 d2.loss_iou: 0.3332 d3.loss_cls: 0.3126 d3.loss_bbox: 0.1648 d3.loss_iou: 0.3272 d4.loss_cls: 0.3093 d4.loss_bbox: 0.1639 d4.loss_iou: 0.3235 enc_loss_cls: 0.3572 enc_loss_bbox: 0.1951 enc_loss_iou: 0.3739 dn_loss_cls: 0.0856 dn_loss_bbox: 0.1435 dn_loss_iou: 0.2401 d0.dn_loss_cls: 0.1785 d0.dn_loss_bbox: 0.2850 d0.dn_loss_iou: 0.3914 d1.dn_loss_cls: 0.1213 d1.dn_loss_bbox: 0.1751 d1.dn_loss_iou: 0.2736 d2.dn_loss_cls: 0.1058 d2.dn_loss_bbox: 0.1520 d2.dn_loss_iou: 0.2481 d3.dn_loss_cls: 0.0934 d3.dn_loss_bbox: 0.1446 d3.dn_loss_iou: 0.2414 d4.dn_loss_cls: 0.0868 d4.dn_loss_bbox: 0.1435 d4.dn_loss_iou: 0.2402 d1.loss_lmm_region: 0.1194 loss_lmm_image: 0.7595 2024/11/03 17:27:40 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 17:27:40 - mmengine - INFO - Iter(train) [100000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:48:08 time: 0.9708 data_time: 0.0184 memory: 21269 grad_norm: 22.1941 loss: 10.1860 loss_cls: 0.3294 loss_bbox: 0.1623 loss_iou: 0.2788 d0.loss_cls: 0.3711 d0.loss_bbox: 0.1756 d0.loss_iou: 0.2955 d1.loss_cls: 0.3594 d1.loss_bbox: 0.1649 d1.loss_iou: 0.2861 d2.loss_cls: 0.3465 d2.loss_bbox: 0.1610 d2.loss_iou: 0.2794 d3.loss_cls: 0.3346 d3.loss_bbox: 0.1611 d3.loss_iou: 0.2785 d4.loss_cls: 0.3300 d4.loss_bbox: 0.1619 d4.loss_iou: 0.2786 enc_loss_cls: 0.3919 enc_loss_bbox: 0.1875 enc_loss_iou: 0.3140 dn_loss_cls: 0.0797 dn_loss_bbox: 0.1841 dn_loss_iou: 0.2255 d0.dn_loss_cls: 0.1758 d0.dn_loss_bbox: 0.3764 d0.dn_loss_iou: 0.3948 d1.dn_loss_cls: 0.1164 d1.dn_loss_bbox: 0.2293 d1.dn_loss_iou: 0.2660 d2.dn_loss_cls: 0.0951 d2.dn_loss_bbox: 0.1981 d2.dn_loss_iou: 0.2362 d3.dn_loss_cls: 0.0846 d3.dn_loss_bbox: 0.1864 d3.dn_loss_iou: 0.2275 d4.dn_loss_cls: 0.0808 d4.dn_loss_bbox: 0.1841 d4.dn_loss_iou: 0.2254 d1.loss_lmm_region: 0.1353 loss_lmm_image: 0.8365 2024/11/03 17:29:17 - mmengine - INFO - Iter(train) [100100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:46:27 time: 0.9623 data_time: 0.0187 memory: 21314 grad_norm: 24.8733 loss: 9.1981 loss_cls: 0.2867 loss_bbox: 0.1421 loss_iou: 0.2667 d0.loss_cls: 0.3152 d0.loss_bbox: 0.1621 d0.loss_iou: 0.2845 d1.loss_cls: 0.3015 d1.loss_bbox: 0.1505 d1.loss_iou: 0.2720 d2.loss_cls: 0.2929 d2.loss_bbox: 0.1448 d2.loss_iou: 0.2654 d3.loss_cls: 0.2912 d3.loss_bbox: 0.1433 d3.loss_iou: 0.2660 d4.loss_cls: 0.2871 d4.loss_bbox: 0.1433 d4.loss_iou: 0.2666 enc_loss_cls: 0.3447 enc_loss_bbox: 0.1682 enc_loss_iou: 0.3026 dn_loss_cls: 0.0688 dn_loss_bbox: 0.1523 dn_loss_iou: 0.2160 d0.dn_loss_cls: 0.1593 d0.dn_loss_bbox: 0.2990 d0.dn_loss_iou: 0.3606 d1.dn_loss_cls: 0.1032 d1.dn_loss_bbox: 0.1884 d1.dn_loss_iou: 0.2489 d2.dn_loss_cls: 0.0859 d2.dn_loss_bbox: 0.1641 d2.dn_loss_iou: 0.2258 d3.dn_loss_cls: 0.0740 d3.dn_loss_bbox: 0.1542 d3.dn_loss_iou: 0.2178 d4.dn_loss_cls: 0.0690 d4.dn_loss_bbox: 0.1523 d4.dn_loss_iou: 0.2158 d1.loss_lmm_region: 0.1194 loss_lmm_image: 0.8261 2024/11/03 17:30:55 - mmengine - INFO - Iter(train) [100200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:44:47 time: 0.9855 data_time: 0.0184 memory: 21791 grad_norm: 21.5860 loss: 7.6283 loss_cls: 0.2349 loss_bbox: 0.1040 loss_iou: 0.1876 d0.loss_cls: 0.2694 d0.loss_bbox: 0.1166 d0.loss_iou: 0.2056 d1.loss_cls: 0.2518 d1.loss_bbox: 0.1056 d1.loss_iou: 0.1913 d2.loss_cls: 0.2450 d2.loss_bbox: 0.1009 d2.loss_iou: 0.1855 d3.loss_cls: 0.2412 d3.loss_bbox: 0.1026 d3.loss_iou: 0.1869 d4.loss_cls: 0.2350 d4.loss_bbox: 0.1042 d4.loss_iou: 0.1878 enc_loss_cls: 0.2798 enc_loss_bbox: 0.1332 enc_loss_iou: 0.2301 dn_loss_cls: 0.0614 dn_loss_bbox: 0.1392 dn_loss_iou: 0.1916 d0.dn_loss_cls: 0.1453 d0.dn_loss_bbox: 0.2809 d0.dn_loss_iou: 0.3437 d1.dn_loss_cls: 0.0904 d1.dn_loss_bbox: 0.1645 d1.dn_loss_iou: 0.2231 d2.dn_loss_cls: 0.0744 d2.dn_loss_bbox: 0.1446 d2.dn_loss_iou: 0.1984 d3.dn_loss_cls: 0.0648 d3.dn_loss_bbox: 0.1398 d3.dn_loss_iou: 0.1927 d4.dn_loss_cls: 0.0617 d4.dn_loss_bbox: 0.1391 d4.dn_loss_iou: 0.1916 d1.loss_lmm_region: 0.1012 loss_lmm_image: 0.7809 2024/11/03 17:32:31 - mmengine - INFO - Iter(train) [100300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:43:06 time: 0.9680 data_time: 0.0183 memory: 21044 grad_norm: 21.1171 loss: 9.0173 loss_cls: 0.2724 loss_bbox: 0.1298 loss_iou: 0.2485 d0.loss_cls: 0.2959 d0.loss_bbox: 0.1417 d0.loss_iou: 0.2676 d1.loss_cls: 0.2873 d1.loss_bbox: 0.1339 d1.loss_iou: 0.2547 d2.loss_cls: 0.2815 d2.loss_bbox: 0.1285 d2.loss_iou: 0.2462 d3.loss_cls: 0.2785 d3.loss_bbox: 0.1270 d3.loss_iou: 0.2469 d4.loss_cls: 0.2739 d4.loss_bbox: 0.1277 d4.loss_iou: 0.2474 enc_loss_cls: 0.3206 enc_loss_bbox: 0.1513 enc_loss_iou: 0.2897 dn_loss_cls: 0.0919 dn_loss_bbox: 0.1585 dn_loss_iou: 0.2223 d0.dn_loss_cls: 0.1708 d0.dn_loss_bbox: 0.3253 d0.dn_loss_iou: 0.3777 d1.dn_loss_cls: 0.1218 d1.dn_loss_bbox: 0.2004 d1.dn_loss_iou: 0.2608 d2.dn_loss_cls: 0.1040 d2.dn_loss_bbox: 0.1688 d2.dn_loss_iou: 0.2329 d3.dn_loss_cls: 0.0957 d3.dn_loss_bbox: 0.1604 d3.dn_loss_iou: 0.2242 d4.dn_loss_cls: 0.0916 d4.dn_loss_bbox: 0.1586 d4.dn_loss_iou: 0.2222 d1.loss_lmm_region: 0.1233 loss_lmm_image: 0.7552 2024/11/03 17:34:09 - mmengine - INFO - Iter(train) [100400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:41:26 time: 0.9740 data_time: 0.0185 memory: 21220 grad_norm: 24.2287 loss: 9.1635 loss_cls: 0.2822 loss_bbox: 0.1435 loss_iou: 0.2650 d0.loss_cls: 0.3186 d0.loss_bbox: 0.1566 d0.loss_iou: 0.2839 d1.loss_cls: 0.2940 d1.loss_bbox: 0.1550 d1.loss_iou: 0.2766 d2.loss_cls: 0.2899 d2.loss_bbox: 0.1480 d2.loss_iou: 0.2671 d3.loss_cls: 0.2864 d3.loss_bbox: 0.1452 d3.loss_iou: 0.2651 d4.loss_cls: 0.2824 d4.loss_bbox: 0.1443 d4.loss_iou: 0.2651 enc_loss_cls: 0.3381 enc_loss_bbox: 0.1650 enc_loss_iou: 0.3067 dn_loss_cls: 0.0735 dn_loss_bbox: 0.1627 dn_loss_iou: 0.2228 d0.dn_loss_cls: 0.1525 d0.dn_loss_bbox: 0.3067 d0.dn_loss_iou: 0.3751 d1.dn_loss_cls: 0.1021 d1.dn_loss_bbox: 0.1955 d1.dn_loss_iou: 0.2548 d2.dn_loss_cls: 0.0861 d2.dn_loss_bbox: 0.1707 d2.dn_loss_iou: 0.2306 d3.dn_loss_cls: 0.0783 d3.dn_loss_bbox: 0.1637 d3.dn_loss_iou: 0.2243 d4.dn_loss_cls: 0.0737 d4.dn_loss_bbox: 0.1627 d4.dn_loss_iou: 0.2227 d1.loss_lmm_region: 0.1023 loss_lmm_image: 0.7238 2024/11/03 17:35:46 - mmengine - INFO - Iter(train) [100500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:39:45 time: 0.9678 data_time: 0.0182 memory: 21027 grad_norm: 24.8359 loss: 10.2553 loss_cls: 0.3206 loss_bbox: 0.1569 loss_iou: 0.3016 d0.loss_cls: 0.3511 d0.loss_bbox: 0.1699 d0.loss_iou: 0.3229 d1.loss_cls: 0.3349 d1.loss_bbox: 0.1625 d1.loss_iou: 0.3098 d2.loss_cls: 0.3264 d2.loss_bbox: 0.1633 d2.loss_iou: 0.3035 d3.loss_cls: 0.3207 d3.loss_bbox: 0.1594 d3.loss_iou: 0.3047 d4.loss_cls: 0.3216 d4.loss_bbox: 0.1572 d4.loss_iou: 0.3010 enc_loss_cls: 0.3729 enc_loss_bbox: 0.1851 enc_loss_iou: 0.3328 dn_loss_cls: 0.0872 dn_loss_bbox: 0.1698 dn_loss_iou: 0.2517 d0.dn_loss_cls: 0.1823 d0.dn_loss_bbox: 0.3296 d0.dn_loss_iou: 0.4127 d1.dn_loss_cls: 0.1218 d1.dn_loss_bbox: 0.2046 d1.dn_loss_iou: 0.2873 d2.dn_loss_cls: 0.1031 d2.dn_loss_bbox: 0.1752 d2.dn_loss_iou: 0.2597 d3.dn_loss_cls: 0.0930 d3.dn_loss_bbox: 0.1705 d3.dn_loss_iou: 0.2531 d4.dn_loss_cls: 0.0881 d4.dn_loss_bbox: 0.1697 d4.dn_loss_iou: 0.2517 d1.loss_lmm_region: 0.1419 loss_lmm_image: 0.8233 2024/11/03 17:37:23 - mmengine - INFO - Iter(train) [100600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:38:05 time: 0.9750 data_time: 0.0182 memory: 21048 grad_norm: 28.0478 loss: 9.2583 loss_cls: 0.2725 loss_bbox: 0.1407 loss_iou: 0.2488 d0.loss_cls: 0.2998 d0.loss_bbox: 0.1654 d0.loss_iou: 0.2728 d1.loss_cls: 0.2940 d1.loss_bbox: 0.1454 d1.loss_iou: 0.2525 d2.loss_cls: 0.2820 d2.loss_bbox: 0.1416 d2.loss_iou: 0.2508 d3.loss_cls: 0.2733 d3.loss_bbox: 0.1414 d3.loss_iou: 0.2507 d4.loss_cls: 0.2721 d4.loss_bbox: 0.1411 d4.loss_iou: 0.2493 enc_loss_cls: 0.3272 enc_loss_bbox: 0.1784 enc_loss_iou: 0.2937 dn_loss_cls: 0.0736 dn_loss_bbox: 0.1753 dn_loss_iou: 0.2291 d0.dn_loss_cls: 0.1592 d0.dn_loss_bbox: 0.3468 d0.dn_loss_iou: 0.3866 d1.dn_loss_cls: 0.1056 d1.dn_loss_bbox: 0.2223 d1.dn_loss_iou: 0.2687 d2.dn_loss_cls: 0.0878 d2.dn_loss_bbox: 0.1873 d2.dn_loss_iou: 0.2395 d3.dn_loss_cls: 0.0782 d3.dn_loss_bbox: 0.1779 d3.dn_loss_iou: 0.2307 d4.dn_loss_cls: 0.0735 d4.dn_loss_bbox: 0.1754 d4.dn_loss_iou: 0.2291 d1.loss_lmm_region: 0.1165 loss_lmm_image: 0.8013 2024/11/03 17:39:01 - mmengine - INFO - Iter(train) [100700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:36:25 time: 0.9916 data_time: 0.0184 memory: 20805 grad_norm: 20.3155 loss: 9.2029 loss_cls: 0.2984 loss_bbox: 0.1353 loss_iou: 0.2635 d0.loss_cls: 0.3288 d0.loss_bbox: 0.1511 d0.loss_iou: 0.2863 d1.loss_cls: 0.3135 d1.loss_bbox: 0.1421 d1.loss_iou: 0.2775 d2.loss_cls: 0.3037 d2.loss_bbox: 0.1379 d2.loss_iou: 0.2696 d3.loss_cls: 0.2985 d3.loss_bbox: 0.1355 d3.loss_iou: 0.2652 d4.loss_cls: 0.2971 d4.loss_bbox: 0.1369 d4.loss_iou: 0.2645 enc_loss_cls: 0.3523 enc_loss_bbox: 0.1629 enc_loss_iou: 0.3107 dn_loss_cls: 0.0768 dn_loss_bbox: 0.1521 dn_loss_iou: 0.2103 d0.dn_loss_cls: 0.1618 d0.dn_loss_bbox: 0.2983 d0.dn_loss_iou: 0.3522 d1.dn_loss_cls: 0.1067 d1.dn_loss_bbox: 0.1865 d1.dn_loss_iou: 0.2438 d2.dn_loss_cls: 0.0898 d2.dn_loss_bbox: 0.1611 d2.dn_loss_iou: 0.2188 d3.dn_loss_cls: 0.0804 d3.dn_loss_bbox: 0.1543 d3.dn_loss_iou: 0.2116 d4.dn_loss_cls: 0.0768 d4.dn_loss_bbox: 0.1522 d4.dn_loss_iou: 0.2102 d1.loss_lmm_region: 0.1217 loss_lmm_image: 0.8063 2024/11/03 17:40:39 - mmengine - INFO - Iter(train) [100800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:34:45 time: 0.9711 data_time: 0.0184 memory: 20553 grad_norm: 29.6867 loss: 8.9264 loss_cls: 0.2888 loss_bbox: 0.1332 loss_iou: 0.2545 d0.loss_cls: 0.3212 d0.loss_bbox: 0.1472 d0.loss_iou: 0.2775 d1.loss_cls: 0.3067 d1.loss_bbox: 0.1364 d1.loss_iou: 0.2620 d2.loss_cls: 0.2971 d2.loss_bbox: 0.1342 d2.loss_iou: 0.2563 d3.loss_cls: 0.2954 d3.loss_bbox: 0.1332 d3.loss_iou: 0.2555 d4.loss_cls: 0.2910 d4.loss_bbox: 0.1327 d4.loss_iou: 0.2550 enc_loss_cls: 0.3394 enc_loss_bbox: 0.1564 enc_loss_iou: 0.2944 dn_loss_cls: 0.0717 dn_loss_bbox: 0.1466 dn_loss_iou: 0.2057 d0.dn_loss_cls: 0.1518 d0.dn_loss_bbox: 0.2785 d0.dn_loss_iou: 0.3414 d1.dn_loss_cls: 0.1041 d1.dn_loss_bbox: 0.1739 d1.dn_loss_iou: 0.2345 d2.dn_loss_cls: 0.0888 d2.dn_loss_bbox: 0.1550 d2.dn_loss_iou: 0.2146 d3.dn_loss_cls: 0.0773 d3.dn_loss_bbox: 0.1477 d3.dn_loss_iou: 0.2075 d4.dn_loss_cls: 0.0735 d4.dn_loss_bbox: 0.1465 d4.dn_loss_iou: 0.2057 d1.loss_lmm_region: 0.1291 loss_lmm_image: 0.8047 2024/11/03 17:42:17 - mmengine - INFO - Iter(train) [100900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:33:05 time: 0.9928 data_time: 0.0183 memory: 21728 grad_norm: 20.1001 loss: 10.2624 loss_cls: 0.3400 loss_bbox: 0.1421 loss_iou: 0.3174 d0.loss_cls: 0.3722 d0.loss_bbox: 0.1647 d0.loss_iou: 0.3437 d1.loss_cls: 0.3595 d1.loss_bbox: 0.1499 d1.loss_iou: 0.3248 d2.loss_cls: 0.3487 d2.loss_bbox: 0.1462 d2.loss_iou: 0.3198 d3.loss_cls: 0.3432 d3.loss_bbox: 0.1432 d3.loss_iou: 0.3164 d4.loss_cls: 0.3398 d4.loss_bbox: 0.1427 d4.loss_iou: 0.3170 enc_loss_cls: 0.3945 enc_loss_bbox: 0.1768 enc_loss_iou: 0.3636 dn_loss_cls: 0.0910 dn_loss_bbox: 0.1577 dn_loss_iou: 0.2461 d0.dn_loss_cls: 0.1805 d0.dn_loss_bbox: 0.3125 d0.dn_loss_iou: 0.4065 d1.dn_loss_cls: 0.1246 d1.dn_loss_bbox: 0.1962 d1.dn_loss_iou: 0.2823 d2.dn_loss_cls: 0.1079 d2.dn_loss_bbox: 0.1656 d2.dn_loss_iou: 0.2549 d3.dn_loss_cls: 0.0968 d3.dn_loss_bbox: 0.1587 d3.dn_loss_iou: 0.2473 d4.dn_loss_cls: 0.0913 d4.dn_loss_bbox: 0.1577 d4.dn_loss_iou: 0.2460 d1.loss_lmm_region: 0.1113 loss_lmm_image: 0.7612 2024/11/03 17:43:54 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 17:43:54 - mmengine - INFO - Iter(train) [101000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:31:24 time: 0.9728 data_time: 0.0183 memory: 21667 grad_norm: 23.5732 loss: 9.7331 loss_cls: 0.3322 loss_bbox: 0.1528 loss_iou: 0.2772 d0.loss_cls: 0.3697 d0.loss_bbox: 0.1656 d0.loss_iou: 0.2972 d1.loss_cls: 0.3473 d1.loss_bbox: 0.1581 d1.loss_iou: 0.2858 d2.loss_cls: 0.3410 d2.loss_bbox: 0.1521 d2.loss_iou: 0.2792 d3.loss_cls: 0.3305 d3.loss_bbox: 0.1544 d3.loss_iou: 0.2787 d4.loss_cls: 0.3279 d4.loss_bbox: 0.1544 d4.loss_iou: 0.2790 enc_loss_cls: 0.3902 enc_loss_bbox: 0.1776 enc_loss_iou: 0.3216 dn_loss_cls: 0.0837 dn_loss_bbox: 0.1513 dn_loss_iou: 0.2054 d0.dn_loss_cls: 0.1727 d0.dn_loss_bbox: 0.3159 d0.dn_loss_iou: 0.3622 d1.dn_loss_cls: 0.1218 d1.dn_loss_bbox: 0.1892 d1.dn_loss_iou: 0.2412 d2.dn_loss_cls: 0.1021 d2.dn_loss_bbox: 0.1607 d2.dn_loss_iou: 0.2145 d3.dn_loss_cls: 0.0903 d3.dn_loss_bbox: 0.1531 d3.dn_loss_iou: 0.2069 d4.dn_loss_cls: 0.0845 d4.dn_loss_bbox: 0.1512 d4.dn_loss_iou: 0.2053 d1.loss_lmm_region: 0.1330 loss_lmm_image: 0.8154 2024/11/03 17:45:31 - mmengine - INFO - Iter(train) [101100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:29:44 time: 0.9688 data_time: 0.0184 memory: 21203 grad_norm: 23.2150 loss: 9.3356 loss_cls: 0.3152 loss_bbox: 0.1286 loss_iou: 0.2623 d0.loss_cls: 0.3523 d0.loss_bbox: 0.1449 d0.loss_iou: 0.2834 d1.loss_cls: 0.3315 d1.loss_bbox: 0.1355 d1.loss_iou: 0.2737 d2.loss_cls: 0.3239 d2.loss_bbox: 0.1322 d2.loss_iou: 0.2672 d3.loss_cls: 0.3199 d3.loss_bbox: 0.1277 d3.loss_iou: 0.2632 d4.loss_cls: 0.3157 d4.loss_bbox: 0.1287 d4.loss_iou: 0.2624 enc_loss_cls: 0.3631 enc_loss_bbox: 0.1598 enc_loss_iou: 0.3096 dn_loss_cls: 0.0913 dn_loss_bbox: 0.1477 dn_loss_iou: 0.2120 d0.dn_loss_cls: 0.1623 d0.dn_loss_bbox: 0.2779 d0.dn_loss_iou: 0.3505 d1.dn_loss_cls: 0.1144 d1.dn_loss_bbox: 0.1773 d1.dn_loss_iou: 0.2423 d2.dn_loss_cls: 0.1011 d2.dn_loss_bbox: 0.1574 d2.dn_loss_iou: 0.2221 d3.dn_loss_cls: 0.0955 d3.dn_loss_bbox: 0.1491 d3.dn_loss_iou: 0.2137 d4.dn_loss_cls: 0.0927 d4.dn_loss_bbox: 0.1476 d4.dn_loss_iou: 0.2120 d1.loss_lmm_region: 0.1085 loss_lmm_image: 0.8596 2024/11/03 17:47:08 - mmengine - INFO - Iter(train) [101200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:28:03 time: 0.9643 data_time: 0.0183 memory: 21171 grad_norm: 23.1468 loss: 8.9911 loss_cls: 0.2748 loss_bbox: 0.1352 loss_iou: 0.2279 d0.loss_cls: 0.3062 d0.loss_bbox: 0.1421 d0.loss_iou: 0.2428 d1.loss_cls: 0.2856 d1.loss_bbox: 0.1380 d1.loss_iou: 0.2339 d2.loss_cls: 0.2816 d2.loss_bbox: 0.1359 d2.loss_iou: 0.2271 d3.loss_cls: 0.2807 d3.loss_bbox: 0.1368 d3.loss_iou: 0.2247 d4.loss_cls: 0.2742 d4.loss_bbox: 0.1358 d4.loss_iou: 0.2281 enc_loss_cls: 0.3240 enc_loss_bbox: 0.1535 enc_loss_iou: 0.2563 dn_loss_cls: 0.0786 dn_loss_bbox: 0.1750 dn_loss_iou: 0.2232 d0.dn_loss_cls: 0.1811 d0.dn_loss_bbox: 0.3301 d0.dn_loss_iou: 0.3806 d1.dn_loss_cls: 0.1167 d1.dn_loss_bbox: 0.2059 d1.dn_loss_iou: 0.2554 d2.dn_loss_cls: 0.0966 d2.dn_loss_bbox: 0.1839 d2.dn_loss_iou: 0.2325 d3.dn_loss_cls: 0.0833 d3.dn_loss_bbox: 0.1758 d3.dn_loss_iou: 0.2246 d4.dn_loss_cls: 0.0782 d4.dn_loss_bbox: 0.1749 d4.dn_loss_iou: 0.2229 d1.loss_lmm_region: 0.1398 loss_lmm_image: 0.7870 2024/11/03 17:48:46 - mmengine - INFO - Iter(train) [101300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:26:23 time: 0.9666 data_time: 0.0184 memory: 20605 grad_norm: 29.4233 loss: 10.5426 loss_cls: 0.2924 loss_bbox: 0.1786 loss_iou: 0.3230 d0.loss_cls: 0.3271 d0.loss_bbox: 0.1914 d0.loss_iou: 0.3358 d1.loss_cls: 0.3148 d1.loss_bbox: 0.1753 d1.loss_iou: 0.3255 d2.loss_cls: 0.3103 d2.loss_bbox: 0.1735 d2.loss_iou: 0.3201 d3.loss_cls: 0.3038 d3.loss_bbox: 0.1756 d3.loss_iou: 0.3192 d4.loss_cls: 0.2971 d4.loss_bbox: 0.1760 d4.loss_iou: 0.3210 enc_loss_cls: 0.3440 enc_loss_bbox: 0.2062 enc_loss_iou: 0.3563 dn_loss_cls: 0.0907 dn_loss_bbox: 0.1907 dn_loss_iou: 0.2637 d0.dn_loss_cls: 0.1814 d0.dn_loss_bbox: 0.3643 d0.dn_loss_iou: 0.4266 d1.dn_loss_cls: 0.1231 d1.dn_loss_bbox: 0.2332 d1.dn_loss_iou: 0.3017 d2.dn_loss_cls: 0.1067 d2.dn_loss_bbox: 0.2034 d2.dn_loss_iou: 0.2736 d3.dn_loss_cls: 0.0982 d3.dn_loss_bbox: 0.1935 d3.dn_loss_iou: 0.2655 d4.dn_loss_cls: 0.0919 d4.dn_loss_bbox: 0.1908 d4.dn_loss_iou: 0.2636 d1.loss_lmm_region: 0.1463 loss_lmm_image: 0.7667 2024/11/03 17:50:24 - mmengine - INFO - Iter(train) [101400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:24:43 time: 0.9763 data_time: 0.0182 memory: 20749 grad_norm: 22.3719 loss: 9.8968 loss_cls: 0.3208 loss_bbox: 0.1540 loss_iou: 0.2925 d0.loss_cls: 0.3561 d0.loss_bbox: 0.1710 d0.loss_iou: 0.3161 d1.loss_cls: 0.3317 d1.loss_bbox: 0.1635 d1.loss_iou: 0.3048 d2.loss_cls: 0.3305 d2.loss_bbox: 0.1585 d2.loss_iou: 0.2967 d3.loss_cls: 0.3295 d3.loss_bbox: 0.1531 d3.loss_iou: 0.2916 d4.loss_cls: 0.3234 d4.loss_bbox: 0.1533 d4.loss_iou: 0.2913 enc_loss_cls: 0.3636 enc_loss_bbox: 0.1897 enc_loss_iou: 0.3416 dn_loss_cls: 0.0749 dn_loss_bbox: 0.1734 dn_loss_iou: 0.2243 d0.dn_loss_cls: 0.1532 d0.dn_loss_bbox: 0.3089 d0.dn_loss_iou: 0.3620 d1.dn_loss_cls: 0.1012 d1.dn_loss_bbox: 0.2008 d1.dn_loss_iou: 0.2557 d2.dn_loss_cls: 0.0854 d2.dn_loss_bbox: 0.1793 d2.dn_loss_iou: 0.2307 d3.dn_loss_cls: 0.0792 d3.dn_loss_bbox: 0.1744 d3.dn_loss_iou: 0.2251 d4.dn_loss_cls: 0.0758 d4.dn_loss_bbox: 0.1734 d4.dn_loss_iou: 0.2241 d1.loss_lmm_region: 0.1292 loss_lmm_image: 0.8327 2024/11/03 17:52:01 - mmengine - INFO - Iter(train) [101500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:23:03 time: 0.9649 data_time: 0.0183 memory: 21078 grad_norm: 22.3357 loss: 10.4727 loss_cls: 0.3322 loss_bbox: 0.1690 loss_iou: 0.3281 d0.loss_cls: 0.3853 d0.loss_bbox: 0.1763 d0.loss_iou: 0.3464 d1.loss_cls: 0.3595 d1.loss_bbox: 0.1666 d1.loss_iou: 0.3296 d2.loss_cls: 0.3442 d2.loss_bbox: 0.1678 d2.loss_iou: 0.3295 d3.loss_cls: 0.3402 d3.loss_bbox: 0.1665 d3.loss_iou: 0.3263 d4.loss_cls: 0.3360 d4.loss_bbox: 0.1652 d4.loss_iou: 0.3271 enc_loss_cls: 0.4018 enc_loss_bbox: 0.1886 enc_loss_iou: 0.3753 dn_loss_cls: 0.0918 dn_loss_bbox: 0.1687 dn_loss_iou: 0.2424 d0.dn_loss_cls: 0.1804 d0.dn_loss_bbox: 0.2942 d0.dn_loss_iou: 0.3786 d1.dn_loss_cls: 0.1227 d1.dn_loss_bbox: 0.1950 d1.dn_loss_iou: 0.2714 d2.dn_loss_cls: 0.1060 d2.dn_loss_bbox: 0.1742 d2.dn_loss_iou: 0.2494 d3.dn_loss_cls: 0.0974 d3.dn_loss_bbox: 0.1688 d3.dn_loss_iou: 0.2436 d4.dn_loss_cls: 0.0926 d4.dn_loss_bbox: 0.1688 d4.dn_loss_iou: 0.2427 d1.loss_lmm_region: 0.1365 loss_lmm_image: 0.7862 2024/11/03 17:53:40 - mmengine - INFO - Iter(train) [101600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:21:23 time: 0.9858 data_time: 0.0183 memory: 21572 grad_norm: 23.2910 loss: 9.5038 loss_cls: 0.2818 loss_bbox: 0.1479 loss_iou: 0.2764 d0.loss_cls: 0.3213 d0.loss_bbox: 0.1579 d0.loss_iou: 0.2918 d1.loss_cls: 0.3020 d1.loss_bbox: 0.1494 d1.loss_iou: 0.2845 d2.loss_cls: 0.2859 d2.loss_bbox: 0.1499 d2.loss_iou: 0.2795 d3.loss_cls: 0.2847 d3.loss_bbox: 0.1525 d3.loss_iou: 0.2803 d4.loss_cls: 0.2839 d4.loss_bbox: 0.1460 d4.loss_iou: 0.2764 enc_loss_cls: 0.3406 enc_loss_bbox: 0.1673 enc_loss_iou: 0.3156 dn_loss_cls: 0.0779 dn_loss_bbox: 0.1744 dn_loss_iou: 0.2221 d0.dn_loss_cls: 0.1673 d0.dn_loss_bbox: 0.3239 d0.dn_loss_iou: 0.3721 d1.dn_loss_cls: 0.1064 d1.dn_loss_bbox: 0.2077 d1.dn_loss_iou: 0.2545 d2.dn_loss_cls: 0.0925 d2.dn_loss_bbox: 0.1842 d2.dn_loss_iou: 0.2305 d3.dn_loss_cls: 0.0810 d3.dn_loss_bbox: 0.1761 d3.dn_loss_iou: 0.2235 d4.dn_loss_cls: 0.0777 d4.dn_loss_bbox: 0.1746 d4.dn_loss_iou: 0.2221 d1.loss_lmm_region: 0.1528 loss_lmm_image: 0.8068 2024/11/03 17:55:17 - mmengine - INFO - Iter(train) [101700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:19:43 time: 0.9789 data_time: 0.0183 memory: 21168 grad_norm: 22.1138 loss: 8.7329 loss_cls: 0.2585 loss_bbox: 0.1323 loss_iou: 0.2775 d0.loss_cls: 0.2913 d0.loss_bbox: 0.1440 d0.loss_iou: 0.2937 d1.loss_cls: 0.2782 d1.loss_bbox: 0.1329 d1.loss_iou: 0.2815 d2.loss_cls: 0.2677 d2.loss_bbox: 0.1319 d2.loss_iou: 0.2774 d3.loss_cls: 0.2647 d3.loss_bbox: 0.1324 d3.loss_iou: 0.2784 d4.loss_cls: 0.2584 d4.loss_bbox: 0.1324 d4.loss_iou: 0.2778 enc_loss_cls: 0.3077 enc_loss_bbox: 0.1565 enc_loss_iou: 0.3152 dn_loss_cls: 0.0665 dn_loss_bbox: 0.1394 dn_loss_iou: 0.2051 d0.dn_loss_cls: 0.1499 d0.dn_loss_bbox: 0.2752 d0.dn_loss_iou: 0.3480 d1.dn_loss_cls: 0.0959 d1.dn_loss_bbox: 0.1667 d1.dn_loss_iou: 0.2334 d2.dn_loss_cls: 0.0830 d2.dn_loss_bbox: 0.1451 d2.dn_loss_iou: 0.2119 d3.dn_loss_cls: 0.0711 d3.dn_loss_bbox: 0.1394 d3.dn_loss_iou: 0.2059 d4.dn_loss_cls: 0.0674 d4.dn_loss_bbox: 0.1393 d4.dn_loss_iou: 0.2049 d1.loss_lmm_region: 0.1105 loss_lmm_image: 0.7840 2024/11/03 17:56:54 - mmengine - INFO - Iter(train) [101800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:18:02 time: 0.9699 data_time: 0.0183 memory: 20768 grad_norm: 24.5973 loss: 8.6350 loss_cls: 0.2487 loss_bbox: 0.1460 loss_iou: 0.2250 d0.loss_cls: 0.2755 d0.loss_bbox: 0.1622 d0.loss_iou: 0.2446 d1.loss_cls: 0.2693 d1.loss_bbox: 0.1475 d1.loss_iou: 0.2292 d2.loss_cls: 0.2548 d2.loss_bbox: 0.1465 d2.loss_iou: 0.2276 d3.loss_cls: 0.2481 d3.loss_bbox: 0.1498 d3.loss_iou: 0.2268 d4.loss_cls: 0.2505 d4.loss_bbox: 0.1461 d4.loss_iou: 0.2233 enc_loss_cls: 0.2967 enc_loss_bbox: 0.1695 enc_loss_iou: 0.2611 dn_loss_cls: 0.0698 dn_loss_bbox: 0.1557 dn_loss_iou: 0.2085 d0.dn_loss_cls: 0.1587 d0.dn_loss_bbox: 0.3009 d0.dn_loss_iou: 0.3479 d1.dn_loss_cls: 0.1086 d1.dn_loss_bbox: 0.1863 d1.dn_loss_iou: 0.2392 d2.dn_loss_cls: 0.0897 d2.dn_loss_bbox: 0.1632 d2.dn_loss_iou: 0.2157 d3.dn_loss_cls: 0.0775 d3.dn_loss_bbox: 0.1575 d3.dn_loss_iou: 0.2094 d4.dn_loss_cls: 0.0708 d4.dn_loss_bbox: 0.1558 d4.dn_loss_iou: 0.2084 d1.loss_lmm_region: 0.1261 loss_lmm_image: 0.8364 2024/11/03 17:58:31 - mmengine - INFO - Iter(train) [101900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:16:22 time: 0.9680 data_time: 0.0183 memory: 20962 grad_norm: 21.8954 loss: 9.6566 loss_cls: 0.3079 loss_bbox: 0.1460 loss_iou: 0.2578 d0.loss_cls: 0.3398 d0.loss_bbox: 0.1621 d0.loss_iou: 0.2790 d1.loss_cls: 0.3254 d1.loss_bbox: 0.1508 d1.loss_iou: 0.2642 d2.loss_cls: 0.3123 d2.loss_bbox: 0.1533 d2.loss_iou: 0.2634 d3.loss_cls: 0.3071 d3.loss_bbox: 0.1506 d3.loss_iou: 0.2595 d4.loss_cls: 0.3092 d4.loss_bbox: 0.1451 d4.loss_iou: 0.2577 enc_loss_cls: 0.3588 enc_loss_bbox: 0.1769 enc_loss_iou: 0.3000 dn_loss_cls: 0.0880 dn_loss_bbox: 0.1833 dn_loss_iou: 0.2248 d0.dn_loss_cls: 0.1770 d0.dn_loss_bbox: 0.3467 d0.dn_loss_iou: 0.3805 d1.dn_loss_cls: 0.1232 d1.dn_loss_bbox: 0.2225 d1.dn_loss_iou: 0.2650 d2.dn_loss_cls: 0.1031 d2.dn_loss_bbox: 0.1929 d2.dn_loss_iou: 0.2346 d3.dn_loss_cls: 0.0936 d3.dn_loss_bbox: 0.1850 d3.dn_loss_iou: 0.2270 d4.dn_loss_cls: 0.0889 d4.dn_loss_bbox: 0.1834 d4.dn_loss_iou: 0.2249 d1.loss_lmm_region: 0.1397 loss_lmm_image: 0.7454 2024/11/03 18:00:08 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 18:00:08 - mmengine - INFO - Iter(train) [102000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:14:41 time: 0.9621 data_time: 0.0185 memory: 20721 grad_norm: 21.4662 loss: 9.7823 loss_cls: 0.2895 loss_bbox: 0.1608 loss_iou: 0.2791 d0.loss_cls: 0.3248 d0.loss_bbox: 0.1724 d0.loss_iou: 0.2950 d1.loss_cls: 0.3125 d1.loss_bbox: 0.1588 d1.loss_iou: 0.2796 d2.loss_cls: 0.3029 d2.loss_bbox: 0.1581 d2.loss_iou: 0.2774 d3.loss_cls: 0.2958 d3.loss_bbox: 0.1607 d3.loss_iou: 0.2779 d4.loss_cls: 0.2916 d4.loss_bbox: 0.1596 d4.loss_iou: 0.2788 enc_loss_cls: 0.3388 enc_loss_bbox: 0.1859 enc_loss_iou: 0.3184 dn_loss_cls: 0.1057 dn_loss_bbox: 0.1770 dn_loss_iou: 0.2302 d0.dn_loss_cls: 0.1800 d0.dn_loss_bbox: 0.3357 d0.dn_loss_iou: 0.3887 d1.dn_loss_cls: 0.1301 d1.dn_loss_bbox: 0.2098 d1.dn_loss_iou: 0.2646 d2.dn_loss_cls: 0.1158 d2.dn_loss_bbox: 0.1852 d2.dn_loss_iou: 0.2391 d3.dn_loss_cls: 0.1093 d3.dn_loss_bbox: 0.1781 d3.dn_loss_iou: 0.2319 d4.dn_loss_cls: 0.1062 d4.dn_loss_bbox: 0.1770 d4.dn_loss_iou: 0.2302 d1.loss_lmm_region: 0.1326 loss_lmm_image: 0.7370 2024/11/03 18:01:45 - mmengine - INFO - Iter(train) [102100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:13:01 time: 0.9757 data_time: 0.0184 memory: 20619 grad_norm: 24.7196 loss: 9.6097 loss_cls: 0.2842 loss_bbox: 0.1459 loss_iou: 0.2532 d0.loss_cls: 0.3160 d0.loss_bbox: 0.1607 d0.loss_iou: 0.2702 d1.loss_cls: 0.2993 d1.loss_bbox: 0.1520 d1.loss_iou: 0.2592 d2.loss_cls: 0.2912 d2.loss_bbox: 0.1508 d2.loss_iou: 0.2561 d3.loss_cls: 0.2863 d3.loss_bbox: 0.1455 d3.loss_iou: 0.2543 d4.loss_cls: 0.2842 d4.loss_bbox: 0.1457 d4.loss_iou: 0.2525 enc_loss_cls: 0.3335 enc_loss_bbox: 0.1703 enc_loss_iou: 0.2914 dn_loss_cls: 0.1265 dn_loss_bbox: 0.1706 dn_loss_iou: 0.2260 d0.dn_loss_cls: 0.2046 d0.dn_loss_bbox: 0.3080 d0.dn_loss_iou: 0.3725 d1.dn_loss_cls: 0.1610 d1.dn_loss_bbox: 0.1942 d1.dn_loss_iou: 0.2545 d2.dn_loss_cls: 0.1412 d2.dn_loss_bbox: 0.1766 d2.dn_loss_iou: 0.2328 d3.dn_loss_cls: 0.1416 d3.dn_loss_bbox: 0.1712 d3.dn_loss_iou: 0.2267 d4.dn_loss_cls: 0.1239 d4.dn_loss_bbox: 0.1707 d4.dn_loss_iou: 0.2259 d1.loss_lmm_region: 0.1411 loss_lmm_image: 0.8376 2024/11/03 18:03:23 - mmengine - INFO - Iter(train) [102200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:11:21 time: 0.9654 data_time: 0.0184 memory: 21177 grad_norm: 22.2598 loss: 9.2524 loss_cls: 0.2793 loss_bbox: 0.1375 loss_iou: 0.2576 d0.loss_cls: 0.3037 d0.loss_bbox: 0.1529 d0.loss_iou: 0.2693 d1.loss_cls: 0.2910 d1.loss_bbox: 0.1451 d1.loss_iou: 0.2673 d2.loss_cls: 0.2878 d2.loss_bbox: 0.1384 d2.loss_iou: 0.2603 d3.loss_cls: 0.2825 d3.loss_bbox: 0.1378 d3.loss_iou: 0.2592 d4.loss_cls: 0.2751 d4.loss_bbox: 0.1411 d4.loss_iou: 0.2599 enc_loss_cls: 0.3249 enc_loss_bbox: 0.1667 enc_loss_iou: 0.2891 dn_loss_cls: 0.0879 dn_loss_bbox: 0.1790 dn_loss_iou: 0.2177 d0.dn_loss_cls: 0.1632 d0.dn_loss_bbox: 0.3299 d0.dn_loss_iou: 0.3610 d1.dn_loss_cls: 0.1144 d1.dn_loss_bbox: 0.2164 d1.dn_loss_iou: 0.2505 d2.dn_loss_cls: 0.1019 d2.dn_loss_bbox: 0.1886 d2.dn_loss_iou: 0.2264 d3.dn_loss_cls: 0.0908 d3.dn_loss_bbox: 0.1805 d3.dn_loss_iou: 0.2194 d4.dn_loss_cls: 0.0876 d4.dn_loss_bbox: 0.1791 d4.dn_loss_iou: 0.2178 d1.loss_lmm_region: 0.1181 loss_lmm_image: 0.7958 2024/11/03 18:05:00 - mmengine - INFO - Iter(train) [102300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:09:41 time: 0.9784 data_time: 0.0185 memory: 20364 grad_norm: 22.9235 loss: 9.2937 loss_cls: 0.2709 loss_bbox: 0.1420 loss_iou: 0.2634 d0.loss_cls: 0.3023 d0.loss_bbox: 0.1547 d0.loss_iou: 0.2759 d1.loss_cls: 0.2919 d1.loss_bbox: 0.1468 d1.loss_iou: 0.2673 d2.loss_cls: 0.2811 d2.loss_bbox: 0.1411 d2.loss_iou: 0.2644 d3.loss_cls: 0.2743 d3.loss_bbox: 0.1433 d3.loss_iou: 0.2655 d4.loss_cls: 0.2719 d4.loss_bbox: 0.1421 d4.loss_iou: 0.2634 enc_loss_cls: 0.3307 enc_loss_bbox: 0.1663 enc_loss_iou: 0.2907 dn_loss_cls: 0.0646 dn_loss_bbox: 0.1919 dn_loss_iou: 0.2337 d0.dn_loss_cls: 0.1569 d0.dn_loss_bbox: 0.3420 d0.dn_loss_iou: 0.3762 d1.dn_loss_cls: 0.0954 d1.dn_loss_bbox: 0.2259 d1.dn_loss_iou: 0.2674 d2.dn_loss_cls: 0.0790 d2.dn_loss_bbox: 0.2002 d2.dn_loss_iou: 0.2432 d3.dn_loss_cls: 0.0685 d3.dn_loss_bbox: 0.1928 d3.dn_loss_iou: 0.2353 d4.dn_loss_cls: 0.0648 d4.dn_loss_bbox: 0.1918 d4.dn_loss_iou: 0.2334 d1.loss_lmm_region: 0.1354 loss_lmm_image: 0.7455 2024/11/03 18:06:38 - mmengine - INFO - Iter(train) [102400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:08:00 time: 0.9775 data_time: 0.0184 memory: 22197 grad_norm: 21.7696 loss: 9.8615 loss_cls: 0.3209 loss_bbox: 0.1508 loss_iou: 0.2902 d0.loss_cls: 0.3520 d0.loss_bbox: 0.1623 d0.loss_iou: 0.3155 d1.loss_cls: 0.3382 d1.loss_bbox: 0.1530 d1.loss_iou: 0.3000 d2.loss_cls: 0.3305 d2.loss_bbox: 0.1481 d2.loss_iou: 0.2911 d3.loss_cls: 0.3246 d3.loss_bbox: 0.1492 d3.loss_iou: 0.2897 d4.loss_cls: 0.3239 d4.loss_bbox: 0.1498 d4.loss_iou: 0.2897 enc_loss_cls: 0.3711 enc_loss_bbox: 0.1711 enc_loss_iou: 0.3369 dn_loss_cls: 0.0963 dn_loss_bbox: 0.1625 dn_loss_iou: 0.2264 d0.dn_loss_cls: 0.1647 d0.dn_loss_bbox: 0.2983 d0.dn_loss_iou: 0.3717 d1.dn_loss_cls: 0.1160 d1.dn_loss_bbox: 0.1922 d1.dn_loss_iou: 0.2601 d2.dn_loss_cls: 0.1036 d2.dn_loss_bbox: 0.1692 d2.dn_loss_iou: 0.2347 d3.dn_loss_cls: 0.1004 d3.dn_loss_bbox: 0.1641 d3.dn_loss_iou: 0.2276 d4.dn_loss_cls: 0.0958 d4.dn_loss_bbox: 0.1626 d4.dn_loss_iou: 0.2263 d1.loss_lmm_region: 0.1184 loss_lmm_image: 0.8120 2024/11/03 18:08:16 - mmengine - INFO - Iter(train) [102500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:06:20 time: 0.9709 data_time: 0.0186 memory: 21064 grad_norm: 23.5238 loss: 9.5294 loss_cls: 0.2942 loss_bbox: 0.1491 loss_iou: 0.2821 d0.loss_cls: 0.3163 d0.loss_bbox: 0.1624 d0.loss_iou: 0.3002 d1.loss_cls: 0.3047 d1.loss_bbox: 0.1549 d1.loss_iou: 0.2881 d2.loss_cls: 0.2990 d2.loss_bbox: 0.1529 d2.loss_iou: 0.2863 d3.loss_cls: 0.2978 d3.loss_bbox: 0.1500 d3.loss_iou: 0.2824 d4.loss_cls: 0.2965 d4.loss_bbox: 0.1473 d4.loss_iou: 0.2810 enc_loss_cls: 0.3342 enc_loss_bbox: 0.1708 enc_loss_iou: 0.3128 dn_loss_cls: 0.0826 dn_loss_bbox: 0.1678 dn_loss_iou: 0.2246 d0.dn_loss_cls: 0.1676 d0.dn_loss_bbox: 0.3062 d0.dn_loss_iou: 0.3670 d1.dn_loss_cls: 0.1105 d1.dn_loss_bbox: 0.1978 d1.dn_loss_iou: 0.2545 d2.dn_loss_cls: 0.0956 d2.dn_loss_bbox: 0.1738 d2.dn_loss_iou: 0.2319 d3.dn_loss_cls: 0.0869 d3.dn_loss_bbox: 0.1689 d3.dn_loss_iou: 0.2257 d4.dn_loss_cls: 0.0839 d4.dn_loss_bbox: 0.1678 d4.dn_loss_iou: 0.2245 d1.loss_lmm_region: 0.1181 loss_lmm_image: 0.8112 2024/11/03 18:09:52 - mmengine - INFO - Iter(train) [102600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:04:40 time: 0.9681 data_time: 0.0185 memory: 21857 grad_norm: 20.4338 loss: 8.4725 loss_cls: 0.2315 loss_bbox: 0.1171 loss_iou: 0.2321 d0.loss_cls: 0.2588 d0.loss_bbox: 0.1306 d0.loss_iou: 0.2487 d1.loss_cls: 0.2424 d1.loss_bbox: 0.1231 d1.loss_iou: 0.2389 d2.loss_cls: 0.2369 d2.loss_bbox: 0.1186 d2.loss_iou: 0.2341 d3.loss_cls: 0.2321 d3.loss_bbox: 0.1196 d3.loss_iou: 0.2339 d4.loss_cls: 0.2326 d4.loss_bbox: 0.1166 d4.loss_iou: 0.2321 enc_loss_cls: 0.2763 enc_loss_bbox: 0.1488 enc_loss_iou: 0.2724 dn_loss_cls: 0.0601 dn_loss_bbox: 0.1710 dn_loss_iou: 0.2285 d0.dn_loss_cls: 0.1425 d0.dn_loss_bbox: 0.3360 d0.dn_loss_iou: 0.3861 d1.dn_loss_cls: 0.0890 d1.dn_loss_bbox: 0.2140 d1.dn_loss_iou: 0.2672 d2.dn_loss_cls: 0.0743 d2.dn_loss_bbox: 0.1819 d2.dn_loss_iou: 0.2378 d3.dn_loss_cls: 0.0641 d3.dn_loss_bbox: 0.1728 d3.dn_loss_iou: 0.2293 d4.dn_loss_cls: 0.0614 d4.dn_loss_bbox: 0.1709 d4.dn_loss_iou: 0.2284 d1.loss_lmm_region: 0.1189 loss_lmm_image: 0.7613 2024/11/03 18:11:30 - mmengine - INFO - Iter(train) [102700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:03:00 time: 0.9603 data_time: 0.0186 memory: 20559 grad_norm: 24.8535 loss: 10.7159 loss_cls: 0.3242 loss_bbox: 0.1683 loss_iou: 0.2846 d0.loss_cls: 0.3505 d0.loss_bbox: 0.1975 d0.loss_iou: 0.3097 d1.loss_cls: 0.3442 d1.loss_bbox: 0.1730 d1.loss_iou: 0.2909 d2.loss_cls: 0.3362 d2.loss_bbox: 0.1695 d2.loss_iou: 0.2859 d3.loss_cls: 0.3320 d3.loss_bbox: 0.1683 d3.loss_iou: 0.2842 d4.loss_cls: 0.3247 d4.loss_bbox: 0.1694 d4.loss_iou: 0.2863 enc_loss_cls: 0.3794 enc_loss_bbox: 0.2070 enc_loss_iou: 0.3255 dn_loss_cls: 0.1068 dn_loss_bbox: 0.2087 dn_loss_iou: 0.2557 d0.dn_loss_cls: 0.2101 d0.dn_loss_bbox: 0.3926 d0.dn_loss_iou: 0.4298 d1.dn_loss_cls: 0.1435 d1.dn_loss_bbox: 0.2461 d1.dn_loss_iou: 0.2943 d2.dn_loss_cls: 0.1228 d2.dn_loss_bbox: 0.2143 d2.dn_loss_iou: 0.2649 d3.dn_loss_cls: 0.1127 d3.dn_loss_bbox: 0.2081 d3.dn_loss_iou: 0.2570 d4.dn_loss_cls: 0.1068 d4.dn_loss_bbox: 0.2087 d4.dn_loss_iou: 0.2557 d1.loss_lmm_region: 0.1548 loss_lmm_image: 0.8117 2024/11/03 18:13:07 - mmengine - INFO - Iter(train) [102800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:01:19 time: 0.9731 data_time: 0.0183 memory: 19818 grad_norm: 19.2469 loss: 9.2304 loss_cls: 0.2964 loss_bbox: 0.1289 loss_iou: 0.2697 d0.loss_cls: 0.3359 d0.loss_bbox: 0.1466 d0.loss_iou: 0.2907 d1.loss_cls: 0.3156 d1.loss_bbox: 0.1357 d1.loss_iou: 0.2792 d2.loss_cls: 0.3066 d2.loss_bbox: 0.1326 d2.loss_iou: 0.2746 d3.loss_cls: 0.3061 d3.loss_bbox: 0.1296 d3.loss_iou: 0.2707 d4.loss_cls: 0.3012 d4.loss_bbox: 0.1271 d4.loss_iou: 0.2690 enc_loss_cls: 0.3506 enc_loss_bbox: 0.1544 enc_loss_iou: 0.3142 dn_loss_cls: 0.0691 dn_loss_bbox: 0.1575 dn_loss_iou: 0.2170 d0.dn_loss_cls: 0.1602 d0.dn_loss_bbox: 0.2987 d0.dn_loss_iou: 0.3568 d1.dn_loss_cls: 0.1010 d1.dn_loss_bbox: 0.1893 d1.dn_loss_iou: 0.2478 d2.dn_loss_cls: 0.0852 d2.dn_loss_bbox: 0.1684 d2.dn_loss_iou: 0.2268 d3.dn_loss_cls: 0.0736 d3.dn_loss_bbox: 0.1590 d3.dn_loss_iou: 0.2188 d4.dn_loss_cls: 0.0698 d4.dn_loss_bbox: 0.1575 d4.dn_loss_iou: 0.2170 d1.loss_lmm_region: 0.1280 loss_lmm_image: 0.7934 2024/11/03 18:14:44 - mmengine - INFO - Iter(train) [102900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:59:39 time: 0.9644 data_time: 0.0184 memory: 21961 grad_norm: 22.9140 loss: 10.5256 loss_cls: 0.3293 loss_bbox: 0.1763 loss_iou: 0.2634 d0.loss_cls: 0.3681 d0.loss_bbox: 0.1896 d0.loss_iou: 0.2825 d1.loss_cls: 0.3497 d1.loss_bbox: 0.1842 d1.loss_iou: 0.2729 d2.loss_cls: 0.3404 d2.loss_bbox: 0.1769 d2.loss_iou: 0.2661 d3.loss_cls: 0.3357 d3.loss_bbox: 0.1761 d3.loss_iou: 0.2649 d4.loss_cls: 0.3312 d4.loss_bbox: 0.1752 d4.loss_iou: 0.2631 enc_loss_cls: 0.3893 enc_loss_bbox: 0.2011 enc_loss_iou: 0.3044 dn_loss_cls: 0.1214 dn_loss_bbox: 0.2029 dn_loss_iou: 0.2352 d0.dn_loss_cls: 0.2122 d0.dn_loss_bbox: 0.3560 d0.dn_loss_iou: 0.3781 d1.dn_loss_cls: 0.1547 d1.dn_loss_bbox: 0.2431 d1.dn_loss_iou: 0.2692 d2.dn_loss_cls: 0.1418 d2.dn_loss_bbox: 0.2155 d2.dn_loss_iou: 0.2456 d3.dn_loss_cls: 0.1312 d3.dn_loss_bbox: 0.2059 d3.dn_loss_iou: 0.2371 d4.dn_loss_cls: 0.1234 d4.dn_loss_bbox: 0.2030 d4.dn_loss_iou: 0.2352 d1.loss_lmm_region: 0.1514 loss_lmm_image: 0.8221 2024/11/03 18:16:21 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 18:16:21 - mmengine - INFO - Iter(train) [103000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:57:59 time: 0.9781 data_time: 0.0183 memory: 20303 grad_norm: 27.9721 loss: 9.6356 loss_cls: 0.3098 loss_bbox: 0.1397 loss_iou: 0.2726 d0.loss_cls: 0.3316 d0.loss_bbox: 0.1639 d0.loss_iou: 0.2956 d1.loss_cls: 0.3276 d1.loss_bbox: 0.1436 d1.loss_iou: 0.2797 d2.loss_cls: 0.3167 d2.loss_bbox: 0.1436 d2.loss_iou: 0.2780 d3.loss_cls: 0.3137 d3.loss_bbox: 0.1405 d3.loss_iou: 0.2755 d4.loss_cls: 0.3097 d4.loss_bbox: 0.1402 d4.loss_iou: 0.2729 enc_loss_cls: 0.3477 enc_loss_bbox: 0.1774 enc_loss_iou: 0.3145 dn_loss_cls: 0.0769 dn_loss_bbox: 0.1808 dn_loss_iou: 0.2307 d0.dn_loss_cls: 0.1532 d0.dn_loss_bbox: 0.3369 d0.dn_loss_iou: 0.3762 d1.dn_loss_cls: 0.1030 d1.dn_loss_bbox: 0.2167 d1.dn_loss_iou: 0.2644 d2.dn_loss_cls: 0.0887 d2.dn_loss_bbox: 0.1912 d2.dn_loss_iou: 0.2403 d3.dn_loss_cls: 0.0822 d3.dn_loss_bbox: 0.1828 d3.dn_loss_iou: 0.2324 d4.dn_loss_cls: 0.0767 d4.dn_loss_bbox: 0.1809 d4.dn_loss_iou: 0.2307 d1.loss_lmm_region: 0.1267 loss_lmm_image: 0.7698 2024/11/03 18:17:59 - mmengine - INFO - Iter(train) [103100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:56:18 time: 0.9744 data_time: 0.0183 memory: 21321 grad_norm: 21.7147 loss: 9.3359 loss_cls: 0.2785 loss_bbox: 0.1359 loss_iou: 0.2532 d0.loss_cls: 0.3060 d0.loss_bbox: 0.1595 d0.loss_iou: 0.2774 d1.loss_cls: 0.2894 d1.loss_bbox: 0.1470 d1.loss_iou: 0.2624 d2.loss_cls: 0.2847 d2.loss_bbox: 0.1394 d2.loss_iou: 0.2565 d3.loss_cls: 0.2819 d3.loss_bbox: 0.1385 d3.loss_iou: 0.2551 d4.loss_cls: 0.2757 d4.loss_bbox: 0.1386 d4.loss_iou: 0.2563 enc_loss_cls: 0.3208 enc_loss_bbox: 0.1759 enc_loss_iou: 0.3008 dn_loss_cls: 0.0819 dn_loss_bbox: 0.1835 dn_loss_iou: 0.2119 d0.dn_loss_cls: 0.1768 d0.dn_loss_bbox: 0.3494 d0.dn_loss_iou: 0.3576 d1.dn_loss_cls: 0.1257 d1.dn_loss_bbox: 0.2219 d1.dn_loss_iou: 0.2472 d2.dn_loss_cls: 0.1033 d2.dn_loss_bbox: 0.1933 d2.dn_loss_iou: 0.2211 d3.dn_loss_cls: 0.0903 d3.dn_loss_bbox: 0.1844 d3.dn_loss_iou: 0.2131 d4.dn_loss_cls: 0.0828 d4.dn_loss_bbox: 0.1834 d4.dn_loss_iou: 0.2119 d1.loss_lmm_region: 0.1423 loss_lmm_image: 0.8206 2024/11/03 18:19:36 - mmengine - INFO - Iter(train) [103200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:54:38 time: 0.9694 data_time: 0.0184 memory: 21806 grad_norm: 24.6579 loss: 10.7056 loss_cls: 0.3711 loss_bbox: 0.1726 loss_iou: 0.3260 d0.loss_cls: 0.4143 d0.loss_bbox: 0.1837 d0.loss_iou: 0.3496 d1.loss_cls: 0.3977 d1.loss_bbox: 0.1736 d1.loss_iou: 0.3318 d2.loss_cls: 0.3850 d2.loss_bbox: 0.1709 d2.loss_iou: 0.3244 d3.loss_cls: 0.3773 d3.loss_bbox: 0.1716 d3.loss_iou: 0.3239 d4.loss_cls: 0.3733 d4.loss_bbox: 0.1721 d4.loss_iou: 0.3258 enc_loss_cls: 0.4443 enc_loss_bbox: 0.1958 enc_loss_iou: 0.3688 dn_loss_cls: 0.0964 dn_loss_bbox: 0.1637 dn_loss_iou: 0.2298 d0.dn_loss_cls: 0.1909 d0.dn_loss_bbox: 0.3175 d0.dn_loss_iou: 0.3842 d1.dn_loss_cls: 0.1350 d1.dn_loss_bbox: 0.1989 d1.dn_loss_iou: 0.2675 d2.dn_loss_cls: 0.1148 d2.dn_loss_bbox: 0.1752 d2.dn_loss_iou: 0.2410 d3.dn_loss_cls: 0.1022 d3.dn_loss_bbox: 0.1650 d3.dn_loss_iou: 0.2312 d4.dn_loss_cls: 0.0976 d4.dn_loss_bbox: 0.1638 d4.dn_loss_iou: 0.2298 d1.loss_lmm_region: 0.1399 loss_lmm_image: 0.7076 2024/11/03 18:21:13 - mmengine - INFO - Iter(train) [103300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:52:58 time: 0.9672 data_time: 0.0183 memory: 20796 grad_norm: 21.5926 loss: 9.7942 loss_cls: 0.2988 loss_bbox: 0.1347 loss_iou: 0.2644 d0.loss_cls: 0.3339 d0.loss_bbox: 0.1525 d0.loss_iou: 0.2837 d1.loss_cls: 0.3149 d1.loss_bbox: 0.1373 d1.loss_iou: 0.2715 d2.loss_cls: 0.3068 d2.loss_bbox: 0.1364 d2.loss_iou: 0.2680 d3.loss_cls: 0.3041 d3.loss_bbox: 0.1340 d3.loss_iou: 0.2637 d4.loss_cls: 0.3001 d4.loss_bbox: 0.1352 d4.loss_iou: 0.2645 enc_loss_cls: 0.3510 enc_loss_bbox: 0.1690 enc_loss_iou: 0.3077 dn_loss_cls: 0.0941 dn_loss_bbox: 0.1817 dn_loss_iou: 0.2482 d0.dn_loss_cls: 0.1777 d0.dn_loss_bbox: 0.3438 d0.dn_loss_iou: 0.4046 d1.dn_loss_cls: 0.1296 d1.dn_loss_bbox: 0.2189 d1.dn_loss_iou: 0.2819 d2.dn_loss_cls: 0.1130 d2.dn_loss_bbox: 0.1919 d2.dn_loss_iou: 0.2567 d3.dn_loss_cls: 0.1039 d3.dn_loss_bbox: 0.1828 d3.dn_loss_iou: 0.2496 d4.dn_loss_cls: 0.0968 d4.dn_loss_bbox: 0.1817 d4.dn_loss_iou: 0.2483 d1.loss_lmm_region: 0.1398 loss_lmm_image: 0.8170 2024/11/03 18:22:51 - mmengine - INFO - Iter(train) [103400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:51:18 time: 0.9706 data_time: 0.0184 memory: 20230 grad_norm: 21.0383 loss: 8.9165 loss_cls: 0.2636 loss_bbox: 0.1241 loss_iou: 0.2395 d0.loss_cls: 0.3024 d0.loss_bbox: 0.1348 d0.loss_iou: 0.2554 d1.loss_cls: 0.2835 d1.loss_bbox: 0.1261 d1.loss_iou: 0.2461 d2.loss_cls: 0.2753 d2.loss_bbox: 0.1240 d2.loss_iou: 0.2397 d3.loss_cls: 0.2704 d3.loss_bbox: 0.1242 d3.loss_iou: 0.2398 d4.loss_cls: 0.2661 d4.loss_bbox: 0.1242 d4.loss_iou: 0.2402 enc_loss_cls: 0.3189 enc_loss_bbox: 0.1472 enc_loss_iou: 0.2797 dn_loss_cls: 0.0827 dn_loss_bbox: 0.1721 dn_loss_iou: 0.2193 d0.dn_loss_cls: 0.1699 d0.dn_loss_bbox: 0.3064 d0.dn_loss_iou: 0.3604 d1.dn_loss_cls: 0.1170 d1.dn_loss_bbox: 0.2015 d1.dn_loss_iou: 0.2526 d2.dn_loss_cls: 0.1006 d2.dn_loss_bbox: 0.1823 d2.dn_loss_iou: 0.2293 d3.dn_loss_cls: 0.0890 d3.dn_loss_bbox: 0.1738 d3.dn_loss_iou: 0.2211 d4.dn_loss_cls: 0.0843 d4.dn_loss_bbox: 0.1721 d4.dn_loss_iou: 0.2194 d1.loss_lmm_region: 0.1271 loss_lmm_image: 0.8106 2024/11/03 18:24:28 - mmengine - INFO - Iter(train) [103500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:49:38 time: 0.9658 data_time: 0.0184 memory: 20407 grad_norm: 24.0019 loss: 10.2451 loss_cls: 0.3216 loss_bbox: 0.1693 loss_iou: 0.2750 d0.loss_cls: 0.3520 d0.loss_bbox: 0.1803 d0.loss_iou: 0.2854 d1.loss_cls: 0.3448 d1.loss_bbox: 0.1707 d1.loss_iou: 0.2746 d2.loss_cls: 0.3343 d2.loss_bbox: 0.1680 d2.loss_iou: 0.2757 d3.loss_cls: 0.3330 d3.loss_bbox: 0.1627 d3.loss_iou: 0.2706 d4.loss_cls: 0.3285 d4.loss_bbox: 0.1630 d4.loss_iou: 0.2698 enc_loss_cls: 0.3726 enc_loss_bbox: 0.1911 enc_loss_iou: 0.3028 dn_loss_cls: 0.1005 dn_loss_bbox: 0.1894 dn_loss_iou: 0.2433 d0.dn_loss_cls: 0.2042 d0.dn_loss_bbox: 0.3457 d0.dn_loss_iou: 0.4004 d1.dn_loss_cls: 0.1396 d1.dn_loss_bbox: 0.2185 d1.dn_loss_iou: 0.2758 d2.dn_loss_cls: 0.1179 d2.dn_loss_bbox: 0.1971 d2.dn_loss_iou: 0.2517 d3.dn_loss_cls: 0.1063 d3.dn_loss_bbox: 0.1900 d3.dn_loss_iou: 0.2444 d4.dn_loss_cls: 0.1017 d4.dn_loss_bbox: 0.1894 d4.dn_loss_iou: 0.2433 d1.loss_lmm_region: 0.1571 loss_lmm_image: 0.7830 2024/11/03 18:26:05 - mmengine - INFO - Iter(train) [103600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:47:58 time: 0.9686 data_time: 0.0186 memory: 21010 grad_norm: 20.4638 loss: 8.6513 loss_cls: 0.2600 loss_bbox: 0.1268 loss_iou: 0.2419 d0.loss_cls: 0.2932 d0.loss_bbox: 0.1369 d0.loss_iou: 0.2555 d1.loss_cls: 0.2742 d1.loss_bbox: 0.1324 d1.loss_iou: 0.2449 d2.loss_cls: 0.2661 d2.loss_bbox: 0.1268 d2.loss_iou: 0.2420 d3.loss_cls: 0.2631 d3.loss_bbox: 0.1272 d3.loss_iou: 0.2428 d4.loss_cls: 0.2602 d4.loss_bbox: 0.1269 d4.loss_iou: 0.2427 enc_loss_cls: 0.3093 enc_loss_bbox: 0.1508 enc_loss_iou: 0.2794 dn_loss_cls: 0.0724 dn_loss_bbox: 0.1491 dn_loss_iou: 0.2065 d0.dn_loss_cls: 0.1520 d0.dn_loss_bbox: 0.2993 d0.dn_loss_iou: 0.3515 d1.dn_loss_cls: 0.1018 d1.dn_loss_bbox: 0.1829 d1.dn_loss_iou: 0.2382 d2.dn_loss_cls: 0.0875 d2.dn_loss_bbox: 0.1593 d2.dn_loss_iou: 0.2167 d3.dn_loss_cls: 0.0784 d3.dn_loss_bbox: 0.1517 d3.dn_loss_iou: 0.2086 d4.dn_loss_cls: 0.0731 d4.dn_loss_bbox: 0.1490 d4.dn_loss_iou: 0.2064 d1.loss_lmm_region: 0.1221 loss_lmm_image: 0.8419 2024/11/03 18:27:43 - mmengine - INFO - Iter(train) [103700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:46:18 time: 0.9752 data_time: 0.0185 memory: 20717 grad_norm: 21.9756 loss: 8.6692 loss_cls: 0.2530 loss_bbox: 0.1279 loss_iou: 0.2159 d0.loss_cls: 0.2789 d0.loss_bbox: 0.1448 d0.loss_iou: 0.2346 d1.loss_cls: 0.2703 d1.loss_bbox: 0.1317 d1.loss_iou: 0.2234 d2.loss_cls: 0.2629 d2.loss_bbox: 0.1280 d2.loss_iou: 0.2192 d3.loss_cls: 0.2583 d3.loss_bbox: 0.1291 d3.loss_iou: 0.2190 d4.loss_cls: 0.2528 d4.loss_bbox: 0.1292 d4.loss_iou: 0.2183 enc_loss_cls: 0.2953 enc_loss_bbox: 0.1560 enc_loss_iou: 0.2536 dn_loss_cls: 0.0841 dn_loss_bbox: 0.1774 dn_loss_iou: 0.2093 d0.dn_loss_cls: 0.1726 d0.dn_loss_bbox: 0.3471 d0.dn_loss_iou: 0.3567 d1.dn_loss_cls: 0.1196 d1.dn_loss_bbox: 0.2183 d1.dn_loss_iou: 0.2431 d2.dn_loss_cls: 0.0981 d2.dn_loss_bbox: 0.1903 d2.dn_loss_iou: 0.2191 d3.dn_loss_cls: 0.0893 d3.dn_loss_bbox: 0.1798 d3.dn_loss_iou: 0.2115 d4.dn_loss_cls: 0.0855 d4.dn_loss_bbox: 0.1775 d4.dn_loss_iou: 0.2093 d1.loss_lmm_region: 0.1211 loss_lmm_image: 0.7569 2024/11/03 18:29:20 - mmengine - INFO - Iter(train) [103800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:44:37 time: 0.9731 data_time: 0.0184 memory: 20491 grad_norm: 25.6351 loss: 10.1692 loss_cls: 0.3144 loss_bbox: 0.1600 loss_iou: 0.2953 d0.loss_cls: 0.3512 d0.loss_bbox: 0.1746 d0.loss_iou: 0.3170 d1.loss_cls: 0.3383 d1.loss_bbox: 0.1587 d1.loss_iou: 0.2982 d2.loss_cls: 0.3267 d2.loss_bbox: 0.1582 d2.loss_iou: 0.2948 d3.loss_cls: 0.3206 d3.loss_bbox: 0.1591 d3.loss_iou: 0.2933 d4.loss_cls: 0.3166 d4.loss_bbox: 0.1602 d4.loss_iou: 0.2956 enc_loss_cls: 0.3640 enc_loss_bbox: 0.1902 enc_loss_iou: 0.3417 dn_loss_cls: 0.0859 dn_loss_bbox: 0.1784 dn_loss_iou: 0.2406 d0.dn_loss_cls: 0.1873 d0.dn_loss_bbox: 0.3265 d0.dn_loss_iou: 0.3931 d1.dn_loss_cls: 0.1230 d1.dn_loss_bbox: 0.2066 d1.dn_loss_iou: 0.2745 d2.dn_loss_cls: 0.1019 d2.dn_loss_bbox: 0.1851 d2.dn_loss_iou: 0.2489 d3.dn_loss_cls: 0.0931 d3.dn_loss_bbox: 0.1790 d3.dn_loss_iou: 0.2422 d4.dn_loss_cls: 0.0868 d4.dn_loss_bbox: 0.1783 d4.dn_loss_iou: 0.2405 d1.loss_lmm_region: 0.1368 loss_lmm_image: 0.8318 2024/11/03 18:30:58 - mmengine - INFO - Iter(train) [103900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:42:57 time: 0.9710 data_time: 0.0183 memory: 19927 grad_norm: 23.3419 loss: 10.2093 loss_cls: 0.3184 loss_bbox: 0.1708 loss_iou: 0.2775 d0.loss_cls: 0.3633 d0.loss_bbox: 0.1817 d0.loss_iou: 0.2908 d1.loss_cls: 0.3446 d1.loss_bbox: 0.1731 d1.loss_iou: 0.2806 d2.loss_cls: 0.3403 d2.loss_bbox: 0.1679 d2.loss_iou: 0.2741 d3.loss_cls: 0.3297 d3.loss_bbox: 0.1673 d3.loss_iou: 0.2725 d4.loss_cls: 0.3213 d4.loss_bbox: 0.1709 d4.loss_iou: 0.2750 enc_loss_cls: 0.3773 enc_loss_bbox: 0.1981 enc_loss_iou: 0.3119 dn_loss_cls: 0.1033 dn_loss_bbox: 0.1901 dn_loss_iou: 0.2319 d0.dn_loss_cls: 0.2003 d0.dn_loss_bbox: 0.3537 d0.dn_loss_iou: 0.3894 d1.dn_loss_cls: 0.1410 d1.dn_loss_bbox: 0.2249 d1.dn_loss_iou: 0.2678 d2.dn_loss_cls: 0.1241 d2.dn_loss_bbox: 0.1988 d2.dn_loss_iou: 0.2413 d3.dn_loss_cls: 0.1100 d3.dn_loss_bbox: 0.1905 d3.dn_loss_iou: 0.2330 d4.dn_loss_cls: 0.1047 d4.dn_loss_bbox: 0.1899 d4.dn_loss_iou: 0.2316 d1.loss_lmm_region: 0.1294 loss_lmm_image: 0.7468 2024/11/03 18:32:34 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 18:32:34 - mmengine - INFO - Iter(train) [104000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:41:17 time: 0.9607 data_time: 0.0185 memory: 21862 grad_norm: 21.6539 loss: 9.6238 loss_cls: 0.2816 loss_bbox: 0.1516 loss_iou: 0.2497 d0.loss_cls: 0.3194 d0.loss_bbox: 0.1690 d0.loss_iou: 0.2725 d1.loss_cls: 0.2978 d1.loss_bbox: 0.1621 d1.loss_iou: 0.2606 d2.loss_cls: 0.2902 d2.loss_bbox: 0.1575 d2.loss_iou: 0.2564 d3.loss_cls: 0.2852 d3.loss_bbox: 0.1563 d3.loss_iou: 0.2529 d4.loss_cls: 0.2826 d4.loss_bbox: 0.1520 d4.loss_iou: 0.2500 enc_loss_cls: 0.3351 enc_loss_bbox: 0.1857 enc_loss_iou: 0.2930 dn_loss_cls: 0.0932 dn_loss_bbox: 0.1812 dn_loss_iou: 0.2326 d0.dn_loss_cls: 0.1826 d0.dn_loss_bbox: 0.3626 d0.dn_loss_iou: 0.3968 d1.dn_loss_cls: 0.1333 d1.dn_loss_bbox: 0.2198 d1.dn_loss_iou: 0.2685 d2.dn_loss_cls: 0.1157 d2.dn_loss_bbox: 0.1938 d2.dn_loss_iou: 0.2437 d3.dn_loss_cls: 0.1018 d3.dn_loss_bbox: 0.1832 d3.dn_loss_iou: 0.2346 d4.dn_loss_cls: 0.0943 d4.dn_loss_bbox: 0.1811 d4.dn_loss_iou: 0.2326 d1.loss_lmm_region: 0.1497 loss_lmm_image: 0.7612 2024/11/03 18:34:11 - mmengine - INFO - Iter(train) [104100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:39:36 time: 0.9678 data_time: 0.0182 memory: 21273 grad_norm: 20.7579 loss: 9.6442 loss_cls: 0.2895 loss_bbox: 0.1464 loss_iou: 0.2939 d0.loss_cls: 0.3155 d0.loss_bbox: 0.1701 d0.loss_iou: 0.3157 d1.loss_cls: 0.3008 d1.loss_bbox: 0.1595 d1.loss_iou: 0.3061 d2.loss_cls: 0.2990 d2.loss_bbox: 0.1487 d2.loss_iou: 0.2979 d3.loss_cls: 0.2967 d3.loss_bbox: 0.1462 d3.loss_iou: 0.2943 d4.loss_cls: 0.2909 d4.loss_bbox: 0.1476 d4.loss_iou: 0.2935 enc_loss_cls: 0.3352 enc_loss_bbox: 0.1794 enc_loss_iou: 0.3358 dn_loss_cls: 0.0737 dn_loss_bbox: 0.1726 dn_loss_iou: 0.2337 d0.dn_loss_cls: 0.1484 d0.dn_loss_bbox: 0.3265 d0.dn_loss_iou: 0.3841 d1.dn_loss_cls: 0.0976 d1.dn_loss_bbox: 0.2082 d1.dn_loss_iou: 0.2659 d2.dn_loss_cls: 0.0834 d2.dn_loss_bbox: 0.1800 d2.dn_loss_iou: 0.2418 d3.dn_loss_cls: 0.0762 d3.dn_loss_bbox: 0.1734 d3.dn_loss_iou: 0.2343 d4.dn_loss_cls: 0.0738 d4.dn_loss_bbox: 0.1726 d4.dn_loss_iou: 0.2336 d1.loss_lmm_region: 0.1245 loss_lmm_image: 0.7771 2024/11/03 18:35:49 - mmengine - INFO - Iter(train) [104200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:37:56 time: 0.9704 data_time: 0.0184 memory: 21109 grad_norm: 22.0492 loss: 9.4747 loss_cls: 0.3071 loss_bbox: 0.1387 loss_iou: 0.2641 d0.loss_cls: 0.3405 d0.loss_bbox: 0.1584 d0.loss_iou: 0.2878 d1.loss_cls: 0.3256 d1.loss_bbox: 0.1424 d1.loss_iou: 0.2753 d2.loss_cls: 0.3171 d2.loss_bbox: 0.1400 d2.loss_iou: 0.2689 d3.loss_cls: 0.3112 d3.loss_bbox: 0.1414 d3.loss_iou: 0.2674 d4.loss_cls: 0.3076 d4.loss_bbox: 0.1383 d4.loss_iou: 0.2646 enc_loss_cls: 0.3555 enc_loss_bbox: 0.1681 enc_loss_iou: 0.3032 dn_loss_cls: 0.0841 dn_loss_bbox: 0.1647 dn_loss_iou: 0.2186 d0.dn_loss_cls: 0.1734 d0.dn_loss_bbox: 0.3078 d0.dn_loss_iou: 0.3650 d1.dn_loss_cls: 0.1186 d1.dn_loss_bbox: 0.2022 d1.dn_loss_iou: 0.2519 d2.dn_loss_cls: 0.0991 d2.dn_loss_bbox: 0.1741 d2.dn_loss_iou: 0.2284 d3.dn_loss_cls: 0.0900 d3.dn_loss_bbox: 0.1663 d3.dn_loss_iou: 0.2206 d4.dn_loss_cls: 0.0850 d4.dn_loss_bbox: 0.1646 d4.dn_loss_iou: 0.2187 d1.loss_lmm_region: 0.1372 loss_lmm_image: 0.7815 2024/11/03 18:37:27 - mmengine - INFO - Iter(train) [104300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:36:16 time: 0.9685 data_time: 0.0184 memory: 21352 grad_norm: 23.0388 loss: 10.4604 loss_cls: 0.3946 loss_bbox: 0.1557 loss_iou: 0.2552 d0.loss_cls: 0.4299 d0.loss_bbox: 0.1789 d0.loss_iou: 0.2722 d1.loss_cls: 0.4136 d1.loss_bbox: 0.1647 d1.loss_iou: 0.2586 d2.loss_cls: 0.4015 d2.loss_bbox: 0.1607 d2.loss_iou: 0.2567 d3.loss_cls: 0.3982 d3.loss_bbox: 0.1551 d3.loss_iou: 0.2558 d4.loss_cls: 0.3941 d4.loss_bbox: 0.1556 d4.loss_iou: 0.2549 enc_loss_cls: 0.4443 enc_loss_bbox: 0.1988 enc_loss_iou: 0.2985 dn_loss_cls: 0.1403 dn_loss_bbox: 0.1774 dn_loss_iou: 0.2013 d0.dn_loss_cls: 0.2146 d0.dn_loss_bbox: 0.3369 d0.dn_loss_iou: 0.3519 d1.dn_loss_cls: 0.1684 d1.dn_loss_bbox: 0.2144 d1.dn_loss_iou: 0.2374 d2.dn_loss_cls: 0.1554 d2.dn_loss_bbox: 0.1887 d2.dn_loss_iou: 0.2113 d3.dn_loss_cls: 0.1453 d3.dn_loss_bbox: 0.1786 d3.dn_loss_iou: 0.2027 d4.dn_loss_cls: 0.1428 d4.dn_loss_bbox: 0.1775 d4.dn_loss_iou: 0.2013 d1.loss_lmm_region: 0.1319 loss_lmm_image: 0.7847 2024/11/03 18:39:03 - mmengine - INFO - Iter(train) [104400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:34:36 time: 0.9643 data_time: 0.0183 memory: 20315 grad_norm: 21.1395 loss: 9.8684 loss_cls: 0.3012 loss_bbox: 0.1552 loss_iou: 0.2738 d0.loss_cls: 0.3424 d0.loss_bbox: 0.1704 d0.loss_iou: 0.2966 d1.loss_cls: 0.3208 d1.loss_bbox: 0.1639 d1.loss_iou: 0.2853 d2.loss_cls: 0.3078 d2.loss_bbox: 0.1626 d2.loss_iou: 0.2792 d3.loss_cls: 0.3070 d3.loss_bbox: 0.1575 d3.loss_iou: 0.2770 d4.loss_cls: 0.3036 d4.loss_bbox: 0.1526 d4.loss_iou: 0.2730 enc_loss_cls: 0.3601 enc_loss_bbox: 0.1758 enc_loss_iou: 0.3073 dn_loss_cls: 0.0910 dn_loss_bbox: 0.1836 dn_loss_iou: 0.2312 d0.dn_loss_cls: 0.1851 d0.dn_loss_bbox: 0.3300 d0.dn_loss_iou: 0.3735 d1.dn_loss_cls: 0.1264 d1.dn_loss_bbox: 0.2132 d1.dn_loss_iou: 0.2614 d2.dn_loss_cls: 0.1076 d2.dn_loss_bbox: 0.1880 d2.dn_loss_iou: 0.2372 d3.dn_loss_cls: 0.0966 d3.dn_loss_bbox: 0.1847 d3.dn_loss_iou: 0.2327 d4.dn_loss_cls: 0.0916 d4.dn_loss_bbox: 0.1838 d4.dn_loss_iou: 0.2312 d1.loss_lmm_region: 0.1426 loss_lmm_image: 0.8038 2024/11/03 18:40:40 - mmengine - INFO - Iter(train) [104500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:32:55 time: 0.9684 data_time: 0.0185 memory: 20154 grad_norm: 21.2413 loss: 9.1090 loss_cls: 0.2770 loss_bbox: 0.1269 loss_iou: 0.2212 d0.loss_cls: 0.3095 d0.loss_bbox: 0.1339 d0.loss_iou: 0.2321 d1.loss_cls: 0.2984 d1.loss_bbox: 0.1214 d1.loss_iou: 0.2215 d2.loss_cls: 0.2856 d2.loss_bbox: 0.1247 d2.loss_iou: 0.2225 d3.loss_cls: 0.2857 d3.loss_bbox: 0.1221 d3.loss_iou: 0.2196 d4.loss_cls: 0.2817 d4.loss_bbox: 0.1251 d4.loss_iou: 0.2197 enc_loss_cls: 0.3293 enc_loss_bbox: 0.1421 enc_loss_iou: 0.2466 dn_loss_cls: 0.1113 dn_loss_bbox: 0.1970 dn_loss_iou: 0.2182 d0.dn_loss_cls: 0.1852 d0.dn_loss_bbox: 0.3648 d0.dn_loss_iou: 0.3612 d1.dn_loss_cls: 0.1332 d1.dn_loss_bbox: 0.2291 d1.dn_loss_iou: 0.2490 d2.dn_loss_cls: 0.1188 d2.dn_loss_bbox: 0.2047 d2.dn_loss_iou: 0.2260 d3.dn_loss_cls: 0.1161 d3.dn_loss_bbox: 0.1983 d3.dn_loss_iou: 0.2196 d4.dn_loss_cls: 0.1110 d4.dn_loss_bbox: 0.1971 d4.dn_loss_iou: 0.2182 d1.loss_lmm_region: 0.1513 loss_lmm_image: 0.7523 2024/11/03 18:42:18 - mmengine - INFO - Iter(train) [104600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:31:15 time: 0.9685 data_time: 0.0184 memory: 21423 grad_norm: 22.9630 loss: 9.5946 loss_cls: 0.2975 loss_bbox: 0.1494 loss_iou: 0.2402 d0.loss_cls: 0.3358 d0.loss_bbox: 0.1682 d0.loss_iou: 0.2706 d1.loss_cls: 0.3119 d1.loss_bbox: 0.1586 d1.loss_iou: 0.2534 d2.loss_cls: 0.3074 d2.loss_bbox: 0.1524 d2.loss_iou: 0.2423 d3.loss_cls: 0.3065 d3.loss_bbox: 0.1490 d3.loss_iou: 0.2402 d4.loss_cls: 0.2986 d4.loss_bbox: 0.1511 d4.loss_iou: 0.2408 enc_loss_cls: 0.3528 enc_loss_bbox: 0.1793 enc_loss_iou: 0.2859 dn_loss_cls: 0.0848 dn_loss_bbox: 0.1833 dn_loss_iou: 0.2377 d0.dn_loss_cls: 0.1773 d0.dn_loss_bbox: 0.3493 d0.dn_loss_iou: 0.3990 d1.dn_loss_cls: 0.1213 d1.dn_loss_bbox: 0.2251 d1.dn_loss_iou: 0.2777 d2.dn_loss_cls: 0.1031 d2.dn_loss_bbox: 0.1932 d2.dn_loss_iou: 0.2480 d3.dn_loss_cls: 0.0950 d3.dn_loss_bbox: 0.1853 d3.dn_loss_iou: 0.2399 d4.dn_loss_cls: 0.0867 d4.dn_loss_bbox: 0.1832 d4.dn_loss_iou: 0.2374 d1.loss_lmm_region: 0.1325 loss_lmm_image: 0.7426 2024/11/03 18:43:54 - mmengine - INFO - Iter(train) [104700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:29:35 time: 0.9661 data_time: 0.0182 memory: 20890 grad_norm: 20.9795 loss: 10.1265 loss_cls: 0.3120 loss_bbox: 0.1642 loss_iou: 0.3125 d0.loss_cls: 0.3418 d0.loss_bbox: 0.1808 d0.loss_iou: 0.3299 d1.loss_cls: 0.3309 d1.loss_bbox: 0.1670 d1.loss_iou: 0.3167 d2.loss_cls: 0.3204 d2.loss_bbox: 0.1643 d2.loss_iou: 0.3119 d3.loss_cls: 0.3128 d3.loss_bbox: 0.1651 d3.loss_iou: 0.3129 d4.loss_cls: 0.3139 d4.loss_bbox: 0.1638 d4.loss_iou: 0.3122 enc_loss_cls: 0.3617 enc_loss_bbox: 0.1914 enc_loss_iou: 0.3395 dn_loss_cls: 0.0820 dn_loss_bbox: 0.1661 dn_loss_iou: 0.2421 d0.dn_loss_cls: 0.1714 d0.dn_loss_bbox: 0.3191 d0.dn_loss_iou: 0.3927 d1.dn_loss_cls: 0.1209 d1.dn_loss_bbox: 0.2004 d1.dn_loss_iou: 0.2763 d2.dn_loss_cls: 0.1030 d2.dn_loss_bbox: 0.1772 d2.dn_loss_iou: 0.2520 d3.dn_loss_cls: 0.0903 d3.dn_loss_bbox: 0.1679 d3.dn_loss_iou: 0.2439 d4.dn_loss_cls: 0.0828 d4.dn_loss_bbox: 0.1662 d4.dn_loss_iou: 0.2419 d1.loss_lmm_region: 0.1318 loss_lmm_image: 0.7730 2024/11/03 18:45:32 - mmengine - INFO - Iter(train) [104800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:27:55 time: 0.9757 data_time: 0.0184 memory: 20800 grad_norm: 25.1448 loss: 8.5813 loss_cls: 0.2513 loss_bbox: 0.1270 loss_iou: 0.2072 d0.loss_cls: 0.2810 d0.loss_bbox: 0.1376 d0.loss_iou: 0.2200 d1.loss_cls: 0.2633 d1.loss_bbox: 0.1299 d1.loss_iou: 0.2116 d2.loss_cls: 0.2593 d2.loss_bbox: 0.1264 d2.loss_iou: 0.2078 d3.loss_cls: 0.2575 d3.loss_bbox: 0.1254 d3.loss_iou: 0.2064 d4.loss_cls: 0.2540 d4.loss_bbox: 0.1261 d4.loss_iou: 0.2064 enc_loss_cls: 0.3009 enc_loss_bbox: 0.1515 enc_loss_iou: 0.2415 dn_loss_cls: 0.1012 dn_loss_bbox: 0.1674 dn_loss_iou: 0.2018 d0.dn_loss_cls: 0.1823 d0.dn_loss_bbox: 0.3153 d0.dn_loss_iou: 0.3480 d1.dn_loss_cls: 0.1300 d1.dn_loss_bbox: 0.1964 d1.dn_loss_iou: 0.2318 d2.dn_loss_cls: 0.1164 d2.dn_loss_bbox: 0.1755 d2.dn_loss_iou: 0.2101 d3.dn_loss_cls: 0.1066 d3.dn_loss_bbox: 0.1685 d3.dn_loss_iou: 0.2036 d4.dn_loss_cls: 0.1029 d4.dn_loss_bbox: 0.1674 d4.dn_loss_iou: 0.2019 d1.loss_lmm_region: 0.1323 loss_lmm_image: 0.8299 2024/11/03 18:47:10 - mmengine - INFO - Iter(train) [104900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:26:15 time: 0.9758 data_time: 0.0184 memory: 21280 grad_norm: 23.1828 loss: 8.4475 loss_cls: 0.2490 loss_bbox: 0.1226 loss_iou: 0.2457 d0.loss_cls: 0.2735 d0.loss_bbox: 0.1409 d0.loss_iou: 0.2714 d1.loss_cls: 0.2619 d1.loss_bbox: 0.1322 d1.loss_iou: 0.2564 d2.loss_cls: 0.2571 d2.loss_bbox: 0.1227 d2.loss_iou: 0.2492 d3.loss_cls: 0.2521 d3.loss_bbox: 0.1220 d3.loss_iou: 0.2463 d4.loss_cls: 0.2505 d4.loss_bbox: 0.1216 d4.loss_iou: 0.2453 enc_loss_cls: 0.2987 enc_loss_bbox: 0.1554 enc_loss_iou: 0.2897 dn_loss_cls: 0.0780 dn_loss_bbox: 0.1377 dn_loss_iou: 0.1984 d0.dn_loss_cls: 0.1544 d0.dn_loss_bbox: 0.2885 d0.dn_loss_iou: 0.3466 d1.dn_loss_cls: 0.1036 d1.dn_loss_bbox: 0.1696 d1.dn_loss_iou: 0.2286 d2.dn_loss_cls: 0.0871 d2.dn_loss_bbox: 0.1467 d2.dn_loss_iou: 0.2047 d3.dn_loss_cls: 0.0829 d3.dn_loss_bbox: 0.1392 d3.dn_loss_iou: 0.1996 d4.dn_loss_cls: 0.0774 d4.dn_loss_bbox: 0.1377 d4.dn_loss_iou: 0.1984 d1.loss_lmm_region: 0.1297 loss_lmm_image: 0.7740 2024/11/03 18:48:47 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 18:48:47 - mmengine - INFO - Iter(train) [105000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:24:35 time: 0.9758 data_time: 0.0183 memory: 20672 grad_norm: 21.2388 loss: 8.1478 loss_cls: 0.2513 loss_bbox: 0.1065 loss_iou: 0.2142 d0.loss_cls: 0.2840 d0.loss_bbox: 0.1156 d0.loss_iou: 0.2277 d1.loss_cls: 0.2683 d1.loss_bbox: 0.1089 d1.loss_iou: 0.2182 d2.loss_cls: 0.2610 d2.loss_bbox: 0.1068 d2.loss_iou: 0.2150 d3.loss_cls: 0.2561 d3.loss_bbox: 0.1065 d3.loss_iou: 0.2138 d4.loss_cls: 0.2515 d4.loss_bbox: 0.1068 d4.loss_iou: 0.2134 enc_loss_cls: 0.2984 enc_loss_bbox: 0.1326 enc_loss_iou: 0.2495 dn_loss_cls: 0.0682 dn_loss_bbox: 0.1485 dn_loss_iou: 0.1913 d0.dn_loss_cls: 0.1563 d0.dn_loss_bbox: 0.2963 d0.dn_loss_iou: 0.3335 d1.dn_loss_cls: 0.1005 d1.dn_loss_bbox: 0.1831 d1.dn_loss_iou: 0.2236 d2.dn_loss_cls: 0.0833 d2.dn_loss_bbox: 0.1568 d2.dn_loss_iou: 0.1997 d3.dn_loss_cls: 0.0735 d3.dn_loss_bbox: 0.1495 d3.dn_loss_iou: 0.1924 d4.dn_loss_cls: 0.0687 d4.dn_loss_bbox: 0.1486 d4.dn_loss_iou: 0.1912 d1.loss_lmm_region: 0.1448 loss_lmm_image: 0.8317 2024/11/03 18:50:25 - mmengine - INFO - Iter(train) [105100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:22:55 time: 0.9795 data_time: 0.0182 memory: 20731 grad_norm: 23.7427 loss: 8.3931 loss_cls: 0.2318 loss_bbox: 0.1304 loss_iou: 0.2111 d0.loss_cls: 0.2606 d0.loss_bbox: 0.1410 d0.loss_iou: 0.2215 d1.loss_cls: 0.2471 d1.loss_bbox: 0.1298 d1.loss_iou: 0.2167 d2.loss_cls: 0.2403 d2.loss_bbox: 0.1304 d2.loss_iou: 0.2125 d3.loss_cls: 0.2374 d3.loss_bbox: 0.1289 d3.loss_iou: 0.2101 d4.loss_cls: 0.2323 d4.loss_bbox: 0.1303 d4.loss_iou: 0.2107 enc_loss_cls: 0.2838 enc_loss_bbox: 0.1474 enc_loss_iou: 0.2379 dn_loss_cls: 0.0778 dn_loss_bbox: 0.1659 dn_loss_iou: 0.2156 d0.dn_loss_cls: 0.1606 d0.dn_loss_bbox: 0.3269 d0.dn_loss_iou: 0.3653 d1.dn_loss_cls: 0.1046 d1.dn_loss_bbox: 0.2054 d1.dn_loss_iou: 0.2489 d2.dn_loss_cls: 0.0913 d2.dn_loss_bbox: 0.1747 d2.dn_loss_iou: 0.2231 d3.dn_loss_cls: 0.0807 d3.dn_loss_bbox: 0.1668 d3.dn_loss_iou: 0.2166 d4.dn_loss_cls: 0.0779 d4.dn_loss_bbox: 0.1659 d4.dn_loss_iou: 0.2154 d1.loss_lmm_region: 0.1404 loss_lmm_image: 0.7774 2024/11/03 18:52:02 - mmengine - INFO - Iter(train) [105200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:21:15 time: 0.9635 data_time: 0.0184 memory: 20905 grad_norm: 23.1974 loss: 10.5987 loss_cls: 0.3341 loss_bbox: 0.1781 loss_iou: 0.3102 d0.loss_cls: 0.3744 d0.loss_bbox: 0.1942 d0.loss_iou: 0.3280 d1.loss_cls: 0.3505 d1.loss_bbox: 0.1882 d1.loss_iou: 0.3186 d2.loss_cls: 0.3440 d2.loss_bbox: 0.1795 d2.loss_iou: 0.3117 d3.loss_cls: 0.3381 d3.loss_bbox: 0.1809 d3.loss_iou: 0.3094 d4.loss_cls: 0.3384 d4.loss_bbox: 0.1758 d4.loss_iou: 0.3091 enc_loss_cls: 0.3960 enc_loss_bbox: 0.2051 enc_loss_iou: 0.3453 dn_loss_cls: 0.0897 dn_loss_bbox: 0.1792 dn_loss_iou: 0.2386 d0.dn_loss_cls: 0.1955 d0.dn_loss_bbox: 0.3358 d0.dn_loss_iou: 0.3919 d1.dn_loss_cls: 0.1399 d1.dn_loss_bbox: 0.2116 d1.dn_loss_iou: 0.2711 d2.dn_loss_cls: 0.1153 d2.dn_loss_bbox: 0.1893 d2.dn_loss_iou: 0.2475 d3.dn_loss_cls: 0.1003 d3.dn_loss_bbox: 0.1801 d3.dn_loss_iou: 0.2398 d4.dn_loss_cls: 0.0903 d4.dn_loss_bbox: 0.1794 d4.dn_loss_iou: 0.2385 d1.loss_lmm_region: 0.1615 loss_lmm_image: 0.7939 2024/11/03 18:53:39 - mmengine - INFO - Iter(train) [105300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:19:35 time: 0.9826 data_time: 0.0183 memory: 20562 grad_norm: 21.3118 loss: 9.5106 loss_cls: 0.2859 loss_bbox: 0.1425 loss_iou: 0.2448 d0.loss_cls: 0.3262 d0.loss_bbox: 0.1554 d0.loss_iou: 0.2647 d1.loss_cls: 0.3018 d1.loss_bbox: 0.1501 d1.loss_iou: 0.2534 d2.loss_cls: 0.2967 d2.loss_bbox: 0.1423 d2.loss_iou: 0.2455 d3.loss_cls: 0.2883 d3.loss_bbox: 0.1440 d3.loss_iou: 0.2465 d4.loss_cls: 0.2874 d4.loss_bbox: 0.1415 d4.loss_iou: 0.2432 enc_loss_cls: 0.3451 enc_loss_bbox: 0.1717 enc_loss_iou: 0.2790 dn_loss_cls: 0.0866 dn_loss_bbox: 0.1867 dn_loss_iou: 0.2314 d0.dn_loss_cls: 0.1851 d0.dn_loss_bbox: 0.3464 d0.dn_loss_iou: 0.3881 d1.dn_loss_cls: 0.1248 d1.dn_loss_bbox: 0.2214 d1.dn_loss_iou: 0.2658 d2.dn_loss_cls: 0.1036 d2.dn_loss_bbox: 0.1962 d2.dn_loss_iou: 0.2411 d3.dn_loss_cls: 0.0926 d3.dn_loss_bbox: 0.1889 d3.dn_loss_iou: 0.2337 d4.dn_loss_cls: 0.0869 d4.dn_loss_bbox: 0.1867 d4.dn_loss_iou: 0.2315 d1.loss_lmm_region: 0.1381 loss_lmm_image: 0.8192 2024/11/03 18:55:17 - mmengine - INFO - Iter(train) [105400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:17:55 time: 0.9689 data_time: 0.0183 memory: 19859 grad_norm: 21.9283 loss: 8.9974 loss_cls: 0.2513 loss_bbox: 0.1411 loss_iou: 0.2574 d0.loss_cls: 0.2886 d0.loss_bbox: 0.1526 d0.loss_iou: 0.2738 d1.loss_cls: 0.2680 d1.loss_bbox: 0.1450 d1.loss_iou: 0.2651 d2.loss_cls: 0.2614 d2.loss_bbox: 0.1430 d2.loss_iou: 0.2592 d3.loss_cls: 0.2556 d3.loss_bbox: 0.1440 d3.loss_iou: 0.2593 d4.loss_cls: 0.2517 d4.loss_bbox: 0.1430 d4.loss_iou: 0.2595 enc_loss_cls: 0.3098 enc_loss_bbox: 0.1657 enc_loss_iou: 0.2926 dn_loss_cls: 0.0632 dn_loss_bbox: 0.1653 dn_loss_iou: 0.2307 d0.dn_loss_cls: 0.1500 d0.dn_loss_bbox: 0.3178 d0.dn_loss_iou: 0.3825 d1.dn_loss_cls: 0.0927 d1.dn_loss_bbox: 0.1973 d1.dn_loss_iou: 0.2640 d2.dn_loss_cls: 0.0758 d2.dn_loss_bbox: 0.1729 d2.dn_loss_iou: 0.2388 d3.dn_loss_cls: 0.0684 d3.dn_loss_bbox: 0.1656 d3.dn_loss_iou: 0.2315 d4.dn_loss_cls: 0.0636 d4.dn_loss_bbox: 0.1653 d4.dn_loss_iou: 0.2306 d1.loss_lmm_region: 0.1171 loss_lmm_image: 0.8164 2024/11/03 18:56:54 - mmengine - INFO - Iter(train) [105500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:16:14 time: 0.9650 data_time: 0.0184 memory: 21642 grad_norm: 21.9904 loss: 9.2122 loss_cls: 0.3167 loss_bbox: 0.1291 loss_iou: 0.2245 d0.loss_cls: 0.3428 d0.loss_bbox: 0.1382 d0.loss_iou: 0.2373 d1.loss_cls: 0.3266 d1.loss_bbox: 0.1307 d1.loss_iou: 0.2285 d2.loss_cls: 0.3213 d2.loss_bbox: 0.1295 d2.loss_iou: 0.2241 d3.loss_cls: 0.3209 d3.loss_bbox: 0.1273 d3.loss_iou: 0.2228 d4.loss_cls: 0.3161 d4.loss_bbox: 0.1294 d4.loss_iou: 0.2250 enc_loss_cls: 0.3534 enc_loss_bbox: 0.1612 enc_loss_iou: 0.2633 dn_loss_cls: 0.0943 dn_loss_bbox: 0.1715 dn_loss_iou: 0.2150 d0.dn_loss_cls: 0.1763 d0.dn_loss_bbox: 0.3248 d0.dn_loss_iou: 0.3713 d1.dn_loss_cls: 0.1235 d1.dn_loss_bbox: 0.2062 d1.dn_loss_iou: 0.2504 d2.dn_loss_cls: 0.1069 d2.dn_loss_bbox: 0.1811 d2.dn_loss_iou: 0.2246 d3.dn_loss_cls: 0.0988 d3.dn_loss_bbox: 0.1727 d3.dn_loss_iou: 0.2166 d4.dn_loss_cls: 0.0940 d4.dn_loss_bbox: 0.1715 d4.dn_loss_iou: 0.2149 d1.loss_lmm_region: 0.1280 loss_lmm_image: 0.8010 2024/11/03 18:58:31 - mmengine - INFO - Iter(train) [105600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:14:34 time: 0.9698 data_time: 0.0182 memory: 21126 grad_norm: 23.4001 loss: 8.8174 loss_cls: 0.2665 loss_bbox: 0.1323 loss_iou: 0.2559 d0.loss_cls: 0.2944 d0.loss_bbox: 0.1419 d0.loss_iou: 0.2661 d1.loss_cls: 0.2777 d1.loss_bbox: 0.1366 d1.loss_iou: 0.2588 d2.loss_cls: 0.2763 d2.loss_bbox: 0.1331 d2.loss_iou: 0.2557 d3.loss_cls: 0.2737 d3.loss_bbox: 0.1333 d3.loss_iou: 0.2558 d4.loss_cls: 0.2682 d4.loss_bbox: 0.1322 d4.loss_iou: 0.2549 enc_loss_cls: 0.3164 enc_loss_bbox: 0.1506 enc_loss_iou: 0.2835 dn_loss_cls: 0.0875 dn_loss_bbox: 0.1465 dn_loss_iou: 0.2076 d0.dn_loss_cls: 0.1560 d0.dn_loss_bbox: 0.2915 d0.dn_loss_iou: 0.3536 d1.dn_loss_cls: 0.1034 d1.dn_loss_bbox: 0.1747 d1.dn_loss_iou: 0.2370 d2.dn_loss_cls: 0.0945 d2.dn_loss_bbox: 0.1517 d2.dn_loss_iou: 0.2146 d3.dn_loss_cls: 0.0919 d3.dn_loss_bbox: 0.1471 d3.dn_loss_iou: 0.2085 d4.dn_loss_cls: 0.0876 d4.dn_loss_bbox: 0.1465 d4.dn_loss_iou: 0.2075 d1.loss_lmm_region: 0.1370 loss_lmm_image: 0.8088 2024/11/03 19:00:08 - mmengine - INFO - Iter(train) [105700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:12:54 time: 0.9800 data_time: 0.0184 memory: 20344 grad_norm: 21.3704 loss: 9.2277 loss_cls: 0.2754 loss_bbox: 0.1304 loss_iou: 0.2497 d0.loss_cls: 0.3005 d0.loss_bbox: 0.1510 d0.loss_iou: 0.2744 d1.loss_cls: 0.2913 d1.loss_bbox: 0.1360 d1.loss_iou: 0.2586 d2.loss_cls: 0.2843 d2.loss_bbox: 0.1332 d2.loss_iou: 0.2529 d3.loss_cls: 0.2801 d3.loss_bbox: 0.1326 d3.loss_iou: 0.2506 d4.loss_cls: 0.2770 d4.loss_bbox: 0.1301 d4.loss_iou: 0.2504 enc_loss_cls: 0.3133 enc_loss_bbox: 0.1621 enc_loss_iou: 0.2925 dn_loss_cls: 0.0890 dn_loss_bbox: 0.1681 dn_loss_iou: 0.2364 d0.dn_loss_cls: 0.1715 d0.dn_loss_bbox: 0.3101 d0.dn_loss_iou: 0.3838 d1.dn_loss_cls: 0.1214 d1.dn_loss_bbox: 0.2012 d1.dn_loss_iou: 0.2711 d2.dn_loss_cls: 0.1057 d2.dn_loss_bbox: 0.1758 d2.dn_loss_iou: 0.2453 d3.dn_loss_cls: 0.0951 d3.dn_loss_bbox: 0.1693 d3.dn_loss_iou: 0.2379 d4.dn_loss_cls: 0.0903 d4.dn_loss_bbox: 0.1681 d4.dn_loss_iou: 0.2362 d1.loss_lmm_region: 0.1307 loss_lmm_image: 0.7944 2024/11/03 19:01:47 - mmengine - INFO - Iter(train) [105800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:11:14 time: 0.9860 data_time: 0.0182 memory: 22144 grad_norm: 21.3609 loss: 9.9416 loss_cls: 0.2814 loss_bbox: 0.1555 loss_iou: 0.2723 d0.loss_cls: 0.3182 d0.loss_bbox: 0.1701 d0.loss_iou: 0.2919 d1.loss_cls: 0.2964 d1.loss_bbox: 0.1629 d1.loss_iou: 0.2816 d2.loss_cls: 0.2934 d2.loss_bbox: 0.1569 d2.loss_iou: 0.2755 d3.loss_cls: 0.2847 d3.loss_bbox: 0.1566 d3.loss_iou: 0.2740 d4.loss_cls: 0.2814 d4.loss_bbox: 0.1552 d4.loss_iou: 0.2725 enc_loss_cls: 0.3352 enc_loss_bbox: 0.1787 enc_loss_iou: 0.3100 dn_loss_cls: 0.1020 dn_loss_bbox: 0.1947 dn_loss_iou: 0.2426 d0.dn_loss_cls: 0.1911 d0.dn_loss_bbox: 0.3589 d0.dn_loss_iou: 0.4059 d1.dn_loss_cls: 0.1388 d1.dn_loss_bbox: 0.2349 d1.dn_loss_iou: 0.2797 d2.dn_loss_cls: 0.1247 d2.dn_loss_bbox: 0.2039 d2.dn_loss_iou: 0.2519 d3.dn_loss_cls: 0.1135 d3.dn_loss_bbox: 0.1968 d3.dn_loss_iou: 0.2448 d4.dn_loss_cls: 0.1044 d4.dn_loss_bbox: 0.1946 d4.dn_loss_iou: 0.2425 d1.loss_lmm_region: 0.1358 loss_lmm_image: 0.7757 2024/11/03 19:03:24 - mmengine - INFO - Iter(train) [105900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:09:34 time: 0.9737 data_time: 0.0183 memory: 21084 grad_norm: 23.3949 loss: 9.5583 loss_cls: 0.2897 loss_bbox: 0.1487 loss_iou: 0.2787 d0.loss_cls: 0.3180 d0.loss_bbox: 0.1599 d0.loss_iou: 0.2947 d1.loss_cls: 0.3068 d1.loss_bbox: 0.1510 d1.loss_iou: 0.2830 d2.loss_cls: 0.2963 d2.loss_bbox: 0.1493 d2.loss_iou: 0.2810 d3.loss_cls: 0.2954 d3.loss_bbox: 0.1471 d3.loss_iou: 0.2763 d4.loss_cls: 0.2915 d4.loss_bbox: 0.1450 d4.loss_iou: 0.2765 enc_loss_cls: 0.3320 enc_loss_bbox: 0.1755 enc_loss_iou: 0.3178 dn_loss_cls: 0.0924 dn_loss_bbox: 0.1668 dn_loss_iou: 0.2267 d0.dn_loss_cls: 0.1720 d0.dn_loss_bbox: 0.3141 d0.dn_loss_iou: 0.3763 d1.dn_loss_cls: 0.1251 d1.dn_loss_bbox: 0.2002 d1.dn_loss_iou: 0.2593 d2.dn_loss_cls: 0.1100 d2.dn_loss_bbox: 0.1753 d2.dn_loss_iou: 0.2360 d3.dn_loss_cls: 0.0992 d3.dn_loss_bbox: 0.1678 d3.dn_loss_iou: 0.2280 d4.dn_loss_cls: 0.0937 d4.dn_loss_bbox: 0.1668 d4.dn_loss_iou: 0.2266 d1.loss_lmm_region: 0.1133 loss_lmm_image: 0.7945 2024/11/03 19:05:01 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 19:05:01 - mmengine - INFO - Iter(train) [106000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:07:54 time: 0.9762 data_time: 0.0185 memory: 21911 grad_norm: 20.8916 loss: 9.2145 loss_cls: 0.2838 loss_bbox: 0.1467 loss_iou: 0.2770 d0.loss_cls: 0.3255 d0.loss_bbox: 0.1578 d0.loss_iou: 0.2936 d1.loss_cls: 0.3047 d1.loss_bbox: 0.1471 d1.loss_iou: 0.2811 d2.loss_cls: 0.3014 d2.loss_bbox: 0.1431 d2.loss_iou: 0.2753 d3.loss_cls: 0.2887 d3.loss_bbox: 0.1481 d3.loss_iou: 0.2776 d4.loss_cls: 0.2861 d4.loss_bbox: 0.1465 d4.loss_iou: 0.2775 enc_loss_cls: 0.3512 enc_loss_bbox: 0.1686 enc_loss_iou: 0.3105 dn_loss_cls: 0.0647 dn_loss_bbox: 0.1625 dn_loss_iou: 0.2168 d0.dn_loss_cls: 0.1526 d0.dn_loss_bbox: 0.2907 d0.dn_loss_iou: 0.3514 d1.dn_loss_cls: 0.0939 d1.dn_loss_bbox: 0.1882 d1.dn_loss_iou: 0.2462 d2.dn_loss_cls: 0.0799 d2.dn_loss_bbox: 0.1676 d2.dn_loss_iou: 0.2223 d3.dn_loss_cls: 0.0686 d3.dn_loss_bbox: 0.1632 d3.dn_loss_iou: 0.2177 d4.dn_loss_cls: 0.0648 d4.dn_loss_bbox: 0.1624 d4.dn_loss_iou: 0.2167 d1.loss_lmm_region: 0.1151 loss_lmm_image: 0.7775 2024/11/03 19:06:38 - mmengine - INFO - Iter(train) [106100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:06:14 time: 0.9700 data_time: 0.0185 memory: 20584 grad_norm: 29.0883 loss: 10.3018 loss_cls: 0.3110 loss_bbox: 0.1587 loss_iou: 0.3156 d0.loss_cls: 0.3461 d0.loss_bbox: 0.1758 d0.loss_iou: 0.3415 d1.loss_cls: 0.3267 d1.loss_bbox: 0.1657 d1.loss_iou: 0.3251 d2.loss_cls: 0.3230 d2.loss_bbox: 0.1602 d2.loss_iou: 0.3164 d3.loss_cls: 0.3163 d3.loss_bbox: 0.1599 d3.loss_iou: 0.3161 d4.loss_cls: 0.3090 d4.loss_bbox: 0.1629 d4.loss_iou: 0.3190 enc_loss_cls: 0.3608 enc_loss_bbox: 0.1871 enc_loss_iou: 0.3616 dn_loss_cls: 0.0847 dn_loss_bbox: 0.1751 dn_loss_iou: 0.2596 d0.dn_loss_cls: 0.1768 d0.dn_loss_bbox: 0.3158 d0.dn_loss_iou: 0.4074 d1.dn_loss_cls: 0.1157 d1.dn_loss_bbox: 0.2089 d1.dn_loss_iou: 0.2928 d2.dn_loss_cls: 0.1015 d2.dn_loss_bbox: 0.1831 d2.dn_loss_iou: 0.2681 d3.dn_loss_cls: 0.0904 d3.dn_loss_bbox: 0.1757 d3.dn_loss_iou: 0.2607 d4.dn_loss_cls: 0.0850 d4.dn_loss_bbox: 0.1750 d4.dn_loss_iou: 0.2595 d1.loss_lmm_region: 0.1263 loss_lmm_image: 0.7810 2024/11/03 19:08:16 - mmengine - INFO - Iter(train) [106200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:04:34 time: 0.9728 data_time: 0.0183 memory: 20899 grad_norm: 23.0044 loss: 9.8256 loss_cls: 0.3030 loss_bbox: 0.1524 loss_iou: 0.2774 d0.loss_cls: 0.3399 d0.loss_bbox: 0.1657 d0.loss_iou: 0.2891 d1.loss_cls: 0.3200 d1.loss_bbox: 0.1551 d1.loss_iou: 0.2793 d2.loss_cls: 0.3145 d2.loss_bbox: 0.1544 d2.loss_iou: 0.2783 d3.loss_cls: 0.3117 d3.loss_bbox: 0.1512 d3.loss_iou: 0.2752 d4.loss_cls: 0.3047 d4.loss_bbox: 0.1525 d4.loss_iou: 0.2756 enc_loss_cls: 0.3657 enc_loss_bbox: 0.1760 enc_loss_iou: 0.3063 dn_loss_cls: 0.0875 dn_loss_bbox: 0.1814 dn_loss_iou: 0.2274 d0.dn_loss_cls: 0.1750 d0.dn_loss_bbox: 0.3304 d0.dn_loss_iou: 0.3806 d1.dn_loss_cls: 0.1194 d1.dn_loss_bbox: 0.2196 d1.dn_loss_iou: 0.2651 d2.dn_loss_cls: 0.1014 d2.dn_loss_bbox: 0.1928 d2.dn_loss_iou: 0.2383 d3.dn_loss_cls: 0.0910 d3.dn_loss_bbox: 0.1840 d3.dn_loss_iou: 0.2292 d4.dn_loss_cls: 0.0875 d4.dn_loss_bbox: 0.1813 d4.dn_loss_iou: 0.2274 d1.loss_lmm_region: 0.1493 loss_lmm_image: 0.8091 2024/11/03 19:09:55 - mmengine - INFO - Iter(train) [106300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:02:55 time: 0.9817 data_time: 0.0184 memory: 20090 grad_norm: 21.6380 loss: 9.2901 loss_cls: 0.2669 loss_bbox: 0.1449 loss_iou: 0.2367 d0.loss_cls: 0.2992 d0.loss_bbox: 0.1523 d0.loss_iou: 0.2471 d1.loss_cls: 0.2862 d1.loss_bbox: 0.1471 d1.loss_iou: 0.2426 d2.loss_cls: 0.2842 d2.loss_bbox: 0.1384 d2.loss_iou: 0.2332 d3.loss_cls: 0.2799 d3.loss_bbox: 0.1395 d3.loss_iou: 0.2325 d4.loss_cls: 0.2716 d4.loss_bbox: 0.1436 d4.loss_iou: 0.2360 enc_loss_cls: 0.3182 enc_loss_bbox: 0.1692 enc_loss_iou: 0.2684 dn_loss_cls: 0.0869 dn_loss_bbox: 0.2030 dn_loss_iou: 0.2284 d0.dn_loss_cls: 0.1729 d0.dn_loss_bbox: 0.3764 d0.dn_loss_iou: 0.3835 d1.dn_loss_cls: 0.1137 d1.dn_loss_bbox: 0.2464 d1.dn_loss_iou: 0.2640 d2.dn_loss_cls: 0.1003 d2.dn_loss_bbox: 0.2143 d2.dn_loss_iou: 0.2375 d3.dn_loss_cls: 0.0898 d3.dn_loss_bbox: 0.2051 d3.dn_loss_iou: 0.2301 d4.dn_loss_cls: 0.0882 d4.dn_loss_bbox: 0.2031 d4.dn_loss_iou: 0.2284 d1.loss_lmm_region: 0.1266 loss_lmm_image: 0.7540 2024/11/03 19:11:33 - mmengine - INFO - Iter(train) [106400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:01:15 time: 0.9737 data_time: 0.0183 memory: 21138 grad_norm: 19.9541 loss: 9.6062 loss_cls: 0.2919 loss_bbox: 0.1485 loss_iou: 0.2743 d0.loss_cls: 0.3325 d0.loss_bbox: 0.1604 d0.loss_iou: 0.2935 d1.loss_cls: 0.3193 d1.loss_bbox: 0.1534 d1.loss_iou: 0.2802 d2.loss_cls: 0.3091 d2.loss_bbox: 0.1462 d2.loss_iou: 0.2731 d3.loss_cls: 0.3008 d3.loss_bbox: 0.1476 d3.loss_iou: 0.2730 d4.loss_cls: 0.2945 d4.loss_bbox: 0.1478 d4.loss_iou: 0.2744 enc_loss_cls: 0.3538 enc_loss_bbox: 0.1770 enc_loss_iou: 0.3189 dn_loss_cls: 0.0899 dn_loss_bbox: 0.1671 dn_loss_iou: 0.2178 d0.dn_loss_cls: 0.1704 d0.dn_loss_bbox: 0.3213 d0.dn_loss_iou: 0.3666 d1.dn_loss_cls: 0.1172 d1.dn_loss_bbox: 0.2016 d1.dn_loss_iou: 0.2534 d2.dn_loss_cls: 0.1021 d2.dn_loss_bbox: 0.1752 d2.dn_loss_iou: 0.2268 d3.dn_loss_cls: 0.0935 d3.dn_loss_bbox: 0.1675 d3.dn_loss_iou: 0.2186 d4.dn_loss_cls: 0.0904 d4.dn_loss_bbox: 0.1671 d4.dn_loss_iou: 0.2179 d1.loss_lmm_region: 0.1238 loss_lmm_image: 0.8480 2024/11/03 19:13:10 - mmengine - INFO - Iter(train) [106500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:59:35 time: 0.9695 data_time: 0.0183 memory: 21478 grad_norm: 19.7758 loss: 10.1395 loss_cls: 0.3478 loss_bbox: 0.1581 loss_iou: 0.3007 d0.loss_cls: 0.3717 d0.loss_bbox: 0.1824 d0.loss_iou: 0.3265 d1.loss_cls: 0.3588 d1.loss_bbox: 0.1638 d1.loss_iou: 0.3108 d2.loss_cls: 0.3590 d2.loss_bbox: 0.1570 d2.loss_iou: 0.3036 d3.loss_cls: 0.3531 d3.loss_bbox: 0.1560 d3.loss_iou: 0.3033 d4.loss_cls: 0.3511 d4.loss_bbox: 0.1551 d4.loss_iou: 0.3003 enc_loss_cls: 0.3972 enc_loss_bbox: 0.1948 enc_loss_iou: 0.3470 dn_loss_cls: 0.0907 dn_loss_bbox: 0.1589 dn_loss_iou: 0.2139 d0.dn_loss_cls: 0.1725 d0.dn_loss_bbox: 0.3168 d0.dn_loss_iou: 0.3693 d1.dn_loss_cls: 0.1200 d1.dn_loss_bbox: 0.1959 d1.dn_loss_iou: 0.2491 d2.dn_loss_cls: 0.1023 d2.dn_loss_bbox: 0.1674 d2.dn_loss_iou: 0.2228 d3.dn_loss_cls: 0.0945 d3.dn_loss_bbox: 0.1601 d3.dn_loss_iou: 0.2151 d4.dn_loss_cls: 0.0911 d4.dn_loss_bbox: 0.1591 d4.dn_loss_iou: 0.2139 d1.loss_lmm_region: 0.1294 loss_lmm_image: 0.7988 2024/11/03 19:14:48 - mmengine - INFO - Iter(train) [106600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:57:55 time: 0.9728 data_time: 0.0184 memory: 20759 grad_norm: 24.8784 loss: 9.6176 loss_cls: 0.3290 loss_bbox: 0.1475 loss_iou: 0.2862 d0.loss_cls: 0.3658 d0.loss_bbox: 0.1580 d0.loss_iou: 0.3079 d1.loss_cls: 0.3365 d1.loss_bbox: 0.1521 d1.loss_iou: 0.2961 d2.loss_cls: 0.3350 d2.loss_bbox: 0.1447 d2.loss_iou: 0.2886 d3.loss_cls: 0.3341 d3.loss_bbox: 0.1464 d3.loss_iou: 0.2863 d4.loss_cls: 0.3299 d4.loss_bbox: 0.1474 d4.loss_iou: 0.2857 enc_loss_cls: 0.3818 enc_loss_bbox: 0.1718 enc_loss_iou: 0.3336 dn_loss_cls: 0.0870 dn_loss_bbox: 0.1415 dn_loss_iou: 0.2083 d0.dn_loss_cls: 0.1722 d0.dn_loss_bbox: 0.2667 d0.dn_loss_iou: 0.3451 d1.dn_loss_cls: 0.1181 d1.dn_loss_bbox: 0.1670 d1.dn_loss_iou: 0.2389 d2.dn_loss_cls: 0.1021 d2.dn_loss_bbox: 0.1510 d2.dn_loss_iou: 0.2164 d3.dn_loss_cls: 0.0918 d3.dn_loss_bbox: 0.1424 d3.dn_loss_iou: 0.2093 d4.dn_loss_cls: 0.0866 d4.dn_loss_bbox: 0.1414 d4.dn_loss_iou: 0.2082 d1.loss_lmm_region: 0.1297 loss_lmm_image: 0.8295 2024/11/03 19:16:26 - mmengine - INFO - Iter(train) [106700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:56:15 time: 0.9842 data_time: 0.0185 memory: 21462 grad_norm: 21.1795 loss: 9.7038 loss_cls: 0.3066 loss_bbox: 0.1591 loss_iou: 0.2744 d0.loss_cls: 0.3471 d0.loss_bbox: 0.1813 d0.loss_iou: 0.2955 d1.loss_cls: 0.3259 d1.loss_bbox: 0.1712 d1.loss_iou: 0.2825 d2.loss_cls: 0.3226 d2.loss_bbox: 0.1579 d2.loss_iou: 0.2743 d3.loss_cls: 0.3162 d3.loss_bbox: 0.1552 d3.loss_iou: 0.2707 d4.loss_cls: 0.3114 d4.loss_bbox: 0.1569 d4.loss_iou: 0.2715 enc_loss_cls: 0.3643 enc_loss_bbox: 0.1919 enc_loss_iou: 0.3164 dn_loss_cls: 0.0861 dn_loss_bbox: 0.1648 dn_loss_iou: 0.2123 d0.dn_loss_cls: 0.1764 d0.dn_loss_bbox: 0.3041 d0.dn_loss_iou: 0.3570 d1.dn_loss_cls: 0.1248 d1.dn_loss_bbox: 0.1979 d1.dn_loss_iou: 0.2451 d2.dn_loss_cls: 0.1066 d2.dn_loss_bbox: 0.1719 d2.dn_loss_iou: 0.2203 d3.dn_loss_cls: 0.0941 d3.dn_loss_bbox: 0.1658 d3.dn_loss_iou: 0.2134 d4.dn_loss_cls: 0.0871 d4.dn_loss_bbox: 0.1648 d4.dn_loss_iou: 0.2123 d1.loss_lmm_region: 0.1260 loss_lmm_image: 0.8203 2024/11/03 19:18:04 - mmengine - INFO - Iter(train) [106800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:54:35 time: 0.9744 data_time: 0.0183 memory: 20845 grad_norm: 21.8818 loss: 10.2047 loss_cls: 0.3019 loss_bbox: 0.1833 loss_iou: 0.2980 d0.loss_cls: 0.3427 d0.loss_bbox: 0.1976 d0.loss_iou: 0.3107 d1.loss_cls: 0.3174 d1.loss_bbox: 0.1915 d1.loss_iou: 0.3043 d2.loss_cls: 0.3127 d2.loss_bbox: 0.1838 d2.loss_iou: 0.2955 d3.loss_cls: 0.3105 d3.loss_bbox: 0.1830 d3.loss_iou: 0.2978 d4.loss_cls: 0.3047 d4.loss_bbox: 0.1829 d4.loss_iou: 0.2982 enc_loss_cls: 0.3564 enc_loss_bbox: 0.2134 enc_loss_iou: 0.3328 dn_loss_cls: 0.0807 dn_loss_bbox: 0.1922 dn_loss_iou: 0.2344 d0.dn_loss_cls: 0.1671 d0.dn_loss_bbox: 0.3570 d0.dn_loss_iou: 0.3860 d1.dn_loss_cls: 0.1108 d1.dn_loss_bbox: 0.2251 d1.dn_loss_iou: 0.2656 d2.dn_loss_cls: 0.0940 d2.dn_loss_bbox: 0.2040 d2.dn_loss_iou: 0.2434 d3.dn_loss_cls: 0.0859 d3.dn_loss_bbox: 0.1935 d3.dn_loss_iou: 0.2357 d4.dn_loss_cls: 0.0808 d4.dn_loss_bbox: 0.1921 d4.dn_loss_iou: 0.2343 d1.loss_lmm_region: 0.1288 loss_lmm_image: 0.7745 2024/11/03 19:19:41 - mmengine - INFO - Iter(train) [106900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:52:56 time: 0.9854 data_time: 0.0184 memory: 20166 grad_norm: 22.6418 loss: 8.7524 loss_cls: 0.2592 loss_bbox: 0.1214 loss_iou: 0.2172 d0.loss_cls: 0.2850 d0.loss_bbox: 0.1388 d0.loss_iou: 0.2390 d1.loss_cls: 0.2750 d1.loss_bbox: 0.1260 d1.loss_iou: 0.2254 d2.loss_cls: 0.2667 d2.loss_bbox: 0.1238 d2.loss_iou: 0.2204 d3.loss_cls: 0.2619 d3.loss_bbox: 0.1239 d3.loss_iou: 0.2194 d4.loss_cls: 0.2595 d4.loss_bbox: 0.1213 d4.loss_iou: 0.2169 enc_loss_cls: 0.3089 enc_loss_bbox: 0.1483 enc_loss_iou: 0.2513 dn_loss_cls: 0.0907 dn_loss_bbox: 0.1763 dn_loss_iou: 0.2196 d0.dn_loss_cls: 0.1755 d0.dn_loss_bbox: 0.3585 d0.dn_loss_iou: 0.3742 d1.dn_loss_cls: 0.1211 d1.dn_loss_bbox: 0.2150 d1.dn_loss_iou: 0.2522 d2.dn_loss_cls: 0.1046 d2.dn_loss_bbox: 0.1867 d2.dn_loss_iou: 0.2280 d3.dn_loss_cls: 0.0977 d3.dn_loss_bbox: 0.1773 d3.dn_loss_iou: 0.2207 d4.dn_loss_cls: 0.0912 d4.dn_loss_bbox: 0.1765 d4.dn_loss_iou: 0.2195 d1.loss_lmm_region: 0.1326 loss_lmm_image: 0.7250 2024/11/03 19:21:19 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 19:21:19 - mmengine - INFO - Iter(train) [107000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:51:15 time: 0.9704 data_time: 0.0185 memory: 20876 grad_norm: 21.9551 loss: 10.4449 loss_cls: 0.3346 loss_bbox: 0.1650 loss_iou: 0.3097 d0.loss_cls: 0.3783 d0.loss_bbox: 0.1802 d0.loss_iou: 0.3262 d1.loss_cls: 0.3548 d1.loss_bbox: 0.1700 d1.loss_iou: 0.3160 d2.loss_cls: 0.3451 d2.loss_bbox: 0.1681 d2.loss_iou: 0.3144 d3.loss_cls: 0.3395 d3.loss_bbox: 0.1665 d3.loss_iou: 0.3111 d4.loss_cls: 0.3388 d4.loss_bbox: 0.1644 d4.loss_iou: 0.3088 enc_loss_cls: 0.4023 enc_loss_bbox: 0.1942 enc_loss_iou: 0.3515 dn_loss_cls: 0.0863 dn_loss_bbox: 0.1827 dn_loss_iou: 0.2441 d0.dn_loss_cls: 0.1696 d0.dn_loss_bbox: 0.3468 d0.dn_loss_iou: 0.3928 d1.dn_loss_cls: 0.1157 d1.dn_loss_bbox: 0.2162 d1.dn_loss_iou: 0.2757 d2.dn_loss_cls: 0.0996 d2.dn_loss_bbox: 0.1894 d2.dn_loss_iou: 0.2521 d3.dn_loss_cls: 0.0906 d3.dn_loss_bbox: 0.1847 d3.dn_loss_iou: 0.2453 d4.dn_loss_cls: 0.0876 d4.dn_loss_bbox: 0.1825 d4.dn_loss_iou: 0.2439 d1.loss_lmm_region: 0.1186 loss_lmm_image: 0.7811 2024/11/03 19:22:57 - mmengine - INFO - Iter(train) [107100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:49:36 time: 0.9812 data_time: 0.0184 memory: 20783 grad_norm: 23.5982 loss: 11.3895 loss_cls: 0.3556 loss_bbox: 0.1996 loss_iou: 0.3646 d0.loss_cls: 0.4096 d0.loss_bbox: 0.2109 d0.loss_iou: 0.3803 d1.loss_cls: 0.3754 d1.loss_bbox: 0.2036 d1.loss_iou: 0.3714 d2.loss_cls: 0.3719 d2.loss_bbox: 0.2004 d2.loss_iou: 0.3625 d3.loss_cls: 0.3635 d3.loss_bbox: 0.1984 d3.loss_iou: 0.3627 d4.loss_cls: 0.3571 d4.loss_bbox: 0.2007 d4.loss_iou: 0.3658 enc_loss_cls: 0.4277 enc_loss_bbox: 0.2289 enc_loss_iou: 0.4096 dn_loss_cls: 0.0816 dn_loss_bbox: 0.1854 dn_loss_iou: 0.2592 d0.dn_loss_cls: 0.1877 d0.dn_loss_bbox: 0.3453 d0.dn_loss_iou: 0.4210 d1.dn_loss_cls: 0.1220 d1.dn_loss_bbox: 0.2218 d1.dn_loss_iou: 0.2963 d2.dn_loss_cls: 0.0997 d2.dn_loss_bbox: 0.1955 d2.dn_loss_iou: 0.2694 d3.dn_loss_cls: 0.0905 d3.dn_loss_bbox: 0.1862 d3.dn_loss_iou: 0.2603 d4.dn_loss_cls: 0.0831 d4.dn_loss_bbox: 0.1853 d4.dn_loss_iou: 0.2592 d1.loss_lmm_region: 0.1453 loss_lmm_image: 0.7746 2024/11/03 19:24:34 - mmengine - INFO - Iter(train) [107200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:47:56 time: 0.9806 data_time: 0.0184 memory: 20670 grad_norm: 22.9173 loss: 9.0160 loss_cls: 0.2542 loss_bbox: 0.1353 loss_iou: 0.2408 d0.loss_cls: 0.2901 d0.loss_bbox: 0.1435 d0.loss_iou: 0.2579 d1.loss_cls: 0.2659 d1.loss_bbox: 0.1413 d1.loss_iou: 0.2494 d2.loss_cls: 0.2573 d2.loss_bbox: 0.1401 d2.loss_iou: 0.2462 d3.loss_cls: 0.2568 d3.loss_bbox: 0.1355 d3.loss_iou: 0.2404 d4.loss_cls: 0.2549 d4.loss_bbox: 0.1349 d4.loss_iou: 0.2395 enc_loss_cls: 0.3061 enc_loss_bbox: 0.1618 enc_loss_iou: 0.2788 dn_loss_cls: 0.0843 dn_loss_bbox: 0.1766 dn_loss_iou: 0.2243 d0.dn_loss_cls: 0.1655 d0.dn_loss_bbox: 0.3373 d0.dn_loss_iou: 0.3728 d1.dn_loss_cls: 0.1114 d1.dn_loss_bbox: 0.2142 d1.dn_loss_iou: 0.2590 d2.dn_loss_cls: 0.0977 d2.dn_loss_bbox: 0.1849 d2.dn_loss_iou: 0.2325 d3.dn_loss_cls: 0.0909 d3.dn_loss_bbox: 0.1783 d3.dn_loss_iou: 0.2258 d4.dn_loss_cls: 0.0862 d4.dn_loss_bbox: 0.1766 d4.dn_loss_iou: 0.2241 d1.loss_lmm_region: 0.1477 loss_lmm_image: 0.7954 2024/11/03 19:26:12 - mmengine - INFO - Iter(train) [107300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:46:16 time: 0.9710 data_time: 0.0184 memory: 21837 grad_norm: 21.7498 loss: 9.4522 loss_cls: 0.2945 loss_bbox: 0.1355 loss_iou: 0.2446 d0.loss_cls: 0.3213 d0.loss_bbox: 0.1501 d0.loss_iou: 0.2605 d1.loss_cls: 0.3057 d1.loss_bbox: 0.1420 d1.loss_iou: 0.2510 d2.loss_cls: 0.3029 d2.loss_bbox: 0.1369 d2.loss_iou: 0.2455 d3.loss_cls: 0.3002 d3.loss_bbox: 0.1359 d3.loss_iou: 0.2439 d4.loss_cls: 0.2950 d4.loss_bbox: 0.1351 d4.loss_iou: 0.2445 enc_loss_cls: 0.3414 enc_loss_bbox: 0.1597 enc_loss_iou: 0.2800 dn_loss_cls: 0.1019 dn_loss_bbox: 0.1706 dn_loss_iou: 0.2323 d0.dn_loss_cls: 0.1974 d0.dn_loss_bbox: 0.3310 d0.dn_loss_iou: 0.3897 d1.dn_loss_cls: 0.1428 d1.dn_loss_bbox: 0.2092 d1.dn_loss_iou: 0.2692 d2.dn_loss_cls: 0.1226 d2.dn_loss_bbox: 0.1818 d2.dn_loss_iou: 0.2438 d3.dn_loss_cls: 0.1109 d3.dn_loss_bbox: 0.1725 d3.dn_loss_iou: 0.2346 d4.dn_loss_cls: 0.1028 d4.dn_loss_bbox: 0.1707 d4.dn_loss_iou: 0.2324 d1.loss_lmm_region: 0.1344 loss_lmm_image: 0.7754 2024/11/03 19:27:50 - mmengine - INFO - Iter(train) [107400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:44:36 time: 0.9850 data_time: 0.0186 memory: 20555 grad_norm: 20.8985 loss: 10.0566 loss_cls: 0.3401 loss_bbox: 0.1592 loss_iou: 0.2908 d0.loss_cls: 0.3791 d0.loss_bbox: 0.1724 d0.loss_iou: 0.3067 d1.loss_cls: 0.3480 d1.loss_bbox: 0.1692 d1.loss_iou: 0.2982 d2.loss_cls: 0.3476 d2.loss_bbox: 0.1606 d2.loss_iou: 0.2915 d3.loss_cls: 0.3446 d3.loss_bbox: 0.1591 d3.loss_iou: 0.2916 d4.loss_cls: 0.3410 d4.loss_bbox: 0.1577 d4.loss_iou: 0.2908 enc_loss_cls: 0.4009 enc_loss_bbox: 0.1825 enc_loss_iou: 0.3244 dn_loss_cls: 0.0831 dn_loss_bbox: 0.1778 dn_loss_iou: 0.2301 d0.dn_loss_cls: 0.1617 d0.dn_loss_bbox: 0.3255 d0.dn_loss_iou: 0.3731 d1.dn_loss_cls: 0.1136 d1.dn_loss_bbox: 0.2068 d1.dn_loss_iou: 0.2608 d2.dn_loss_cls: 0.0975 d2.dn_loss_bbox: 0.1866 d2.dn_loss_iou: 0.2374 d3.dn_loss_cls: 0.0879 d3.dn_loss_bbox: 0.1791 d3.dn_loss_iou: 0.2311 d4.dn_loss_cls: 0.0830 d4.dn_loss_bbox: 0.1778 d4.dn_loss_iou: 0.2302 d1.loss_lmm_region: 0.1253 loss_lmm_image: 0.7322 2024/11/03 19:29:28 - mmengine - INFO - Iter(train) [107500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:42:56 time: 0.9765 data_time: 0.0186 memory: 21715 grad_norm: 22.8498 loss: 10.0150 loss_cls: 0.2860 loss_bbox: 0.1619 loss_iou: 0.2693 d0.loss_cls: 0.3141 d0.loss_bbox: 0.1766 d0.loss_iou: 0.2881 d1.loss_cls: 0.2922 d1.loss_bbox: 0.1733 d1.loss_iou: 0.2773 d2.loss_cls: 0.2915 d2.loss_bbox: 0.1637 d2.loss_iou: 0.2725 d3.loss_cls: 0.2875 d3.loss_bbox: 0.1650 d3.loss_iou: 0.2698 d4.loss_cls: 0.2862 d4.loss_bbox: 0.1619 d4.loss_iou: 0.2704 enc_loss_cls: 0.3357 enc_loss_bbox: 0.1869 enc_loss_iou: 0.3017 dn_loss_cls: 0.0911 dn_loss_bbox: 0.2012 dn_loss_iou: 0.2453 d0.dn_loss_cls: 0.1842 d0.dn_loss_bbox: 0.3887 d0.dn_loss_iou: 0.4085 d1.dn_loss_cls: 0.1247 d1.dn_loss_bbox: 0.2430 d1.dn_loss_iou: 0.2799 d2.dn_loss_cls: 0.1070 d2.dn_loss_bbox: 0.2125 d2.dn_loss_iou: 0.2552 d3.dn_loss_cls: 0.0953 d3.dn_loss_bbox: 0.2037 d3.dn_loss_iou: 0.2471 d4.dn_loss_cls: 0.0909 d4.dn_loss_bbox: 0.2013 d4.dn_loss_iou: 0.2453 d1.loss_lmm_region: 0.1550 loss_lmm_image: 0.8032 2024/11/03 19:31:06 - mmengine - INFO - Iter(train) [107600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:41:17 time: 0.9792 data_time: 0.0184 memory: 20909 grad_norm: 22.9664 loss: 10.0203 loss_cls: 0.3238 loss_bbox: 0.1448 loss_iou: 0.2760 d0.loss_cls: 0.3634 d0.loss_bbox: 0.1629 d0.loss_iou: 0.3003 d1.loss_cls: 0.3419 d1.loss_bbox: 0.1509 d1.loss_iou: 0.2837 d2.loss_cls: 0.3372 d2.loss_bbox: 0.1453 d2.loss_iou: 0.2789 d3.loss_cls: 0.3309 d3.loss_bbox: 0.1427 d3.loss_iou: 0.2748 d4.loss_cls: 0.3266 d4.loss_bbox: 0.1436 d4.loss_iou: 0.2755 enc_loss_cls: 0.3756 enc_loss_bbox: 0.1777 enc_loss_iou: 0.3277 dn_loss_cls: 0.0969 dn_loss_bbox: 0.1694 dn_loss_iou: 0.2361 d0.dn_loss_cls: 0.1794 d0.dn_loss_bbox: 0.3154 d0.dn_loss_iou: 0.3896 d1.dn_loss_cls: 0.1266 d1.dn_loss_bbox: 0.2047 d1.dn_loss_iou: 0.2725 d2.dn_loss_cls: 0.1122 d2.dn_loss_bbox: 0.1771 d2.dn_loss_iou: 0.2447 d3.dn_loss_cls: 0.0999 d3.dn_loss_bbox: 0.1708 d3.dn_loss_iou: 0.2382 d4.dn_loss_cls: 0.0978 d4.dn_loss_bbox: 0.1694 d4.dn_loss_iou: 0.2360 d1.loss_lmm_region: 0.1487 loss_lmm_image: 0.8508 2024/11/03 19:32:43 - mmengine - INFO - Iter(train) [107700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:39:37 time: 0.9637 data_time: 0.0184 memory: 21126 grad_norm: 22.4685 loss: 9.5848 loss_cls: 0.3179 loss_bbox: 0.1480 loss_iou: 0.2620 d0.loss_cls: 0.3560 d0.loss_bbox: 0.1582 d0.loss_iou: 0.2793 d1.loss_cls: 0.3387 d1.loss_bbox: 0.1551 d1.loss_iou: 0.2683 d2.loss_cls: 0.3327 d2.loss_bbox: 0.1504 d2.loss_iou: 0.2635 d3.loss_cls: 0.3252 d3.loss_bbox: 0.1476 d3.loss_iou: 0.2625 d4.loss_cls: 0.3189 d4.loss_bbox: 0.1476 d4.loss_iou: 0.2616 enc_loss_cls: 0.3730 enc_loss_bbox: 0.1728 enc_loss_iou: 0.2966 dn_loss_cls: 0.0726 dn_loss_bbox: 0.1629 dn_loss_iou: 0.2296 d0.dn_loss_cls: 0.1741 d0.dn_loss_bbox: 0.3083 d0.dn_loss_iou: 0.3781 d1.dn_loss_cls: 0.1101 d1.dn_loss_bbox: 0.1923 d1.dn_loss_iou: 0.2609 d2.dn_loss_cls: 0.0913 d2.dn_loss_bbox: 0.1716 d2.dn_loss_iou: 0.2387 d3.dn_loss_cls: 0.0780 d3.dn_loss_bbox: 0.1642 d3.dn_loss_iou: 0.2309 d4.dn_loss_cls: 0.0730 d4.dn_loss_bbox: 0.1628 d4.dn_loss_iou: 0.2296 d1.loss_lmm_region: 0.1478 loss_lmm_image: 0.7722 2024/11/03 19:34:20 - mmengine - INFO - Iter(train) [107800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:37:57 time: 0.9678 data_time: 0.0184 memory: 22194 grad_norm: 22.3324 loss: 9.8705 loss_cls: 0.3647 loss_bbox: 0.1411 loss_iou: 0.2999 d0.loss_cls: 0.3978 d0.loss_bbox: 0.1473 d0.loss_iou: 0.3135 d1.loss_cls: 0.3845 d1.loss_bbox: 0.1417 d1.loss_iou: 0.3017 d2.loss_cls: 0.3733 d2.loss_bbox: 0.1370 d2.loss_iou: 0.2974 d3.loss_cls: 0.3699 d3.loss_bbox: 0.1368 d3.loss_iou: 0.2966 d4.loss_cls: 0.3669 d4.loss_bbox: 0.1372 d4.loss_iou: 0.2978 enc_loss_cls: 0.4097 enc_loss_bbox: 0.1639 enc_loss_iou: 0.3329 dn_loss_cls: 0.0810 dn_loss_bbox: 0.1394 dn_loss_iou: 0.2234 d0.dn_loss_cls: 0.1547 d0.dn_loss_bbox: 0.2779 d0.dn_loss_iou: 0.3618 d1.dn_loss_cls: 0.1038 d1.dn_loss_bbox: 0.1717 d1.dn_loss_iou: 0.2565 d2.dn_loss_cls: 0.0897 d2.dn_loss_bbox: 0.1481 d2.dn_loss_iou: 0.2331 d3.dn_loss_cls: 0.0832 d3.dn_loss_bbox: 0.1403 d3.dn_loss_iou: 0.2253 d4.dn_loss_cls: 0.0804 d4.dn_loss_bbox: 0.1395 d4.dn_loss_iou: 0.2235 d1.loss_lmm_region: 0.1248 loss_lmm_image: 0.8012 2024/11/03 19:35:57 - mmengine - INFO - Iter(train) [107900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:36:17 time: 0.9688 data_time: 0.0185 memory: 20567 grad_norm: 23.5514 loss: 9.9907 loss_cls: 0.2947 loss_bbox: 0.1560 loss_iou: 0.2774 d0.loss_cls: 0.3225 d0.loss_bbox: 0.1815 d0.loss_iou: 0.2956 d1.loss_cls: 0.3110 d1.loss_bbox: 0.1652 d1.loss_iou: 0.2844 d2.loss_cls: 0.3022 d2.loss_bbox: 0.1641 d2.loss_iou: 0.2830 d3.loss_cls: 0.2986 d3.loss_bbox: 0.1589 d3.loss_iou: 0.2795 d4.loss_cls: 0.2938 d4.loss_bbox: 0.1583 d4.loss_iou: 0.2808 enc_loss_cls: 0.3428 enc_loss_bbox: 0.1951 enc_loss_iou: 0.3157 dn_loss_cls: 0.1267 dn_loss_bbox: 0.1810 dn_loss_iou: 0.2398 d0.dn_loss_cls: 0.1784 d0.dn_loss_bbox: 0.3296 d0.dn_loss_iou: 0.3808 d1.dn_loss_cls: 0.1509 d1.dn_loss_bbox: 0.2054 d1.dn_loss_iou: 0.2667 d2.dn_loss_cls: 0.1418 d2.dn_loss_bbox: 0.1860 d2.dn_loss_iou: 0.2467 d3.dn_loss_cls: 0.1395 d3.dn_loss_bbox: 0.1816 d3.dn_loss_iou: 0.2405 d4.dn_loss_cls: 0.1303 d4.dn_loss_bbox: 0.1809 d4.dn_loss_iou: 0.2396 d1.loss_lmm_region: 0.1272 loss_lmm_image: 0.7565 2024/11/03 19:37:36 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 19:37:36 - mmengine - INFO - Iter(train) [108000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:34:37 time: 0.9871 data_time: 0.0187 memory: 20995 grad_norm: 22.1774 loss: 8.5521 loss_cls: 0.2440 loss_bbox: 0.1279 loss_iou: 0.2369 d0.loss_cls: 0.2781 d0.loss_bbox: 0.1345 d0.loss_iou: 0.2506 d1.loss_cls: 0.2580 d1.loss_bbox: 0.1302 d1.loss_iou: 0.2420 d2.loss_cls: 0.2498 d2.loss_bbox: 0.1276 d2.loss_iou: 0.2394 d3.loss_cls: 0.2517 d3.loss_bbox: 0.1236 d3.loss_iou: 0.2362 d4.loss_cls: 0.2471 d4.loss_bbox: 0.1261 d4.loss_iou: 0.2353 enc_loss_cls: 0.2952 enc_loss_bbox: 0.1525 enc_loss_iou: 0.2717 dn_loss_cls: 0.0608 dn_loss_bbox: 0.1610 dn_loss_iou: 0.2270 d0.dn_loss_cls: 0.1504 d0.dn_loss_bbox: 0.3025 d0.dn_loss_iou: 0.3682 d1.dn_loss_cls: 0.0966 d1.dn_loss_bbox: 0.1949 d1.dn_loss_iou: 0.2593 d2.dn_loss_cls: 0.0793 d2.dn_loss_bbox: 0.1677 d2.dn_loss_iou: 0.2340 d3.dn_loss_cls: 0.0669 d3.dn_loss_bbox: 0.1620 d3.dn_loss_iou: 0.2280 d4.dn_loss_cls: 0.0617 d4.dn_loss_bbox: 0.1611 d4.dn_loss_iou: 0.2269 d1.loss_lmm_region: 0.1220 loss_lmm_image: 0.7635 2024/11/03 19:39:13 - mmengine - INFO - Iter(train) [108100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:32:57 time: 0.9809 data_time: 0.0183 memory: 20230 grad_norm: 21.3189 loss: 10.2694 loss_cls: 0.3279 loss_bbox: 0.1683 loss_iou: 0.2996 d0.loss_cls: 0.3602 d0.loss_bbox: 0.1858 d0.loss_iou: 0.3200 d1.loss_cls: 0.3476 d1.loss_bbox: 0.1717 d1.loss_iou: 0.3039 d2.loss_cls: 0.3426 d2.loss_bbox: 0.1658 d2.loss_iou: 0.2982 d3.loss_cls: 0.3319 d3.loss_bbox: 0.1693 d3.loss_iou: 0.2994 d4.loss_cls: 0.3304 d4.loss_bbox: 0.1687 d4.loss_iou: 0.2994 enc_loss_cls: 0.3882 enc_loss_bbox: 0.1967 enc_loss_iou: 0.3422 dn_loss_cls: 0.1041 dn_loss_bbox: 0.1671 dn_loss_iou: 0.2309 d0.dn_loss_cls: 0.1804 d0.dn_loss_bbox: 0.3135 d0.dn_loss_iou: 0.3787 d1.dn_loss_cls: 0.1294 d1.dn_loss_bbox: 0.1993 d1.dn_loss_iou: 0.2624 d2.dn_loss_cls: 0.1144 d2.dn_loss_bbox: 0.1743 d2.dn_loss_iou: 0.2379 d3.dn_loss_cls: 0.1094 d3.dn_loss_bbox: 0.1672 d3.dn_loss_iou: 0.2316 d4.dn_loss_cls: 0.1038 d4.dn_loss_bbox: 0.1672 d4.dn_loss_iou: 0.2308 d1.loss_lmm_region: 0.1304 loss_lmm_image: 0.8189 2024/11/03 19:40:51 - mmengine - INFO - Iter(train) [108200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:31:17 time: 0.9750 data_time: 0.0185 memory: 21945 grad_norm: 21.5198 loss: 8.4025 loss_cls: 0.2458 loss_bbox: 0.1201 loss_iou: 0.2257 d0.loss_cls: 0.2708 d0.loss_bbox: 0.1349 d0.loss_iou: 0.2509 d1.loss_cls: 0.2624 d1.loss_bbox: 0.1214 d1.loss_iou: 0.2296 d2.loss_cls: 0.2507 d2.loss_bbox: 0.1212 d2.loss_iou: 0.2271 d3.loss_cls: 0.2480 d3.loss_bbox: 0.1215 d3.loss_iou: 0.2267 d4.loss_cls: 0.2461 d4.loss_bbox: 0.1216 d4.loss_iou: 0.2263 enc_loss_cls: 0.2855 enc_loss_bbox: 0.1490 enc_loss_iou: 0.2644 dn_loss_cls: 0.0719 dn_loss_bbox: 0.1523 dn_loss_iou: 0.2085 d0.dn_loss_cls: 0.1415 d0.dn_loss_bbox: 0.3055 d0.dn_loss_iou: 0.3517 d1.dn_loss_cls: 0.0979 d1.dn_loss_bbox: 0.1859 d1.dn_loss_iou: 0.2409 d2.dn_loss_cls: 0.0864 d2.dn_loss_bbox: 0.1618 d2.dn_loss_iou: 0.2174 d3.dn_loss_cls: 0.0794 d3.dn_loss_bbox: 0.1535 d3.dn_loss_iou: 0.2096 d4.dn_loss_cls: 0.0737 d4.dn_loss_bbox: 0.1523 d4.dn_loss_iou: 0.2083 d1.loss_lmm_region: 0.1038 loss_lmm_image: 0.8505 2024/11/03 19:42:28 - mmengine - INFO - Iter(train) [108300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:29:37 time: 0.9749 data_time: 0.0185 memory: 20063 grad_norm: 27.4829 loss: 8.4638 loss_cls: 0.2490 loss_bbox: 0.1203 loss_iou: 0.2455 d0.loss_cls: 0.2743 d0.loss_bbox: 0.1358 d0.loss_iou: 0.2629 d1.loss_cls: 0.2628 d1.loss_bbox: 0.1257 d1.loss_iou: 0.2502 d2.loss_cls: 0.2594 d2.loss_bbox: 0.1220 d2.loss_iou: 0.2459 d3.loss_cls: 0.2573 d3.loss_bbox: 0.1181 d3.loss_iou: 0.2437 d4.loss_cls: 0.2527 d4.loss_bbox: 0.1183 d4.loss_iou: 0.2434 enc_loss_cls: 0.2986 enc_loss_bbox: 0.1469 enc_loss_iou: 0.2828 dn_loss_cls: 0.0647 dn_loss_bbox: 0.1388 dn_loss_iou: 0.2127 d0.dn_loss_cls: 0.1552 d0.dn_loss_bbox: 0.2919 d0.dn_loss_iou: 0.3655 d1.dn_loss_cls: 0.0974 d1.dn_loss_bbox: 0.1712 d1.dn_loss_iou: 0.2444 d2.dn_loss_cls: 0.0796 d2.dn_loss_bbox: 0.1466 d2.dn_loss_iou: 0.2212 d3.dn_loss_cls: 0.0694 d3.dn_loss_bbox: 0.1409 d3.dn_loss_iou: 0.2142 d4.dn_loss_cls: 0.0651 d4.dn_loss_bbox: 0.1387 d4.dn_loss_iou: 0.2127 d1.loss_lmm_region: 0.1284 loss_lmm_image: 0.7896 2024/11/03 19:44:05 - mmengine - INFO - Iter(train) [108400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:27:57 time: 0.9704 data_time: 0.0184 memory: 21056 grad_norm: 21.8716 loss: 10.0707 loss_cls: 0.3192 loss_bbox: 0.1489 loss_iou: 0.2487 d0.loss_cls: 0.3498 d0.loss_bbox: 0.1661 d0.loss_iou: 0.2794 d1.loss_cls: 0.3366 d1.loss_bbox: 0.1533 d1.loss_iou: 0.2575 d2.loss_cls: 0.3317 d2.loss_bbox: 0.1502 d2.loss_iou: 0.2514 d3.loss_cls: 0.3244 d3.loss_bbox: 0.1474 d3.loss_iou: 0.2471 d4.loss_cls: 0.3209 d4.loss_bbox: 0.1483 d4.loss_iou: 0.2477 enc_loss_cls: 0.3725 enc_loss_bbox: 0.1726 enc_loss_iou: 0.2891 dn_loss_cls: 0.1594 dn_loss_bbox: 0.1724 dn_loss_iou: 0.2290 d0.dn_loss_cls: 0.2276 d0.dn_loss_bbox: 0.3405 d0.dn_loss_iou: 0.3867 d1.dn_loss_cls: 0.1814 d1.dn_loss_bbox: 0.2071 d1.dn_loss_iou: 0.2654 d2.dn_loss_cls: 0.1697 d2.dn_loss_bbox: 0.1815 d2.dn_loss_iou: 0.2399 d3.dn_loss_cls: 0.1642 d3.dn_loss_bbox: 0.1739 d3.dn_loss_iou: 0.2308 d4.dn_loss_cls: 0.1597 d4.dn_loss_bbox: 0.1725 d4.dn_loss_iou: 0.2294 d1.loss_lmm_region: 0.1360 loss_lmm_image: 0.7811 2024/11/03 19:45:43 - mmengine - INFO - Iter(train) [108500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:26:17 time: 0.9829 data_time: 0.0185 memory: 21558 grad_norm: 22.7844 loss: 10.4544 loss_cls: 0.3472 loss_bbox: 0.1602 loss_iou: 0.3166 d0.loss_cls: 0.3914 d0.loss_bbox: 0.1643 d0.loss_iou: 0.3348 d1.loss_cls: 0.3680 d1.loss_bbox: 0.1607 d1.loss_iou: 0.3233 d2.loss_cls: 0.3595 d2.loss_bbox: 0.1615 d2.loss_iou: 0.3170 d3.loss_cls: 0.3527 d3.loss_bbox: 0.1597 d3.loss_iou: 0.3163 d4.loss_cls: 0.3460 d4.loss_bbox: 0.1595 d4.loss_iou: 0.3161 enc_loss_cls: 0.4090 enc_loss_bbox: 0.1859 enc_loss_iou: 0.3632 dn_loss_cls: 0.0979 dn_loss_bbox: 0.1642 dn_loss_iou: 0.2380 d0.dn_loss_cls: 0.1772 d0.dn_loss_bbox: 0.3028 d0.dn_loss_iou: 0.3867 d1.dn_loss_cls: 0.1299 d1.dn_loss_bbox: 0.1961 d1.dn_loss_iou: 0.2700 d2.dn_loss_cls: 0.1125 d2.dn_loss_bbox: 0.1745 d2.dn_loss_iou: 0.2464 d3.dn_loss_cls: 0.1032 d3.dn_loss_bbox: 0.1664 d3.dn_loss_iou: 0.2399 d4.dn_loss_cls: 0.0979 d4.dn_loss_bbox: 0.1642 d4.dn_loss_iou: 0.2379 d1.loss_lmm_region: 0.1311 loss_lmm_image: 0.8050 2024/11/03 19:47:20 - mmengine - INFO - Iter(train) [108600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:24:37 time: 0.9783 data_time: 0.0184 memory: 20204 grad_norm: 21.5055 loss: 10.5707 loss_cls: 0.3375 loss_bbox: 0.1823 loss_iou: 0.3086 d0.loss_cls: 0.3885 d0.loss_bbox: 0.1867 d0.loss_iou: 0.3222 d1.loss_cls: 0.3446 d1.loss_bbox: 0.1920 d1.loss_iou: 0.3150 d2.loss_cls: 0.3433 d2.loss_bbox: 0.1809 d2.loss_iou: 0.3084 d3.loss_cls: 0.3470 d3.loss_bbox: 0.1752 d3.loss_iou: 0.3039 d4.loss_cls: 0.3379 d4.loss_bbox: 0.1808 d4.loss_iou: 0.3082 enc_loss_cls: 0.4037 enc_loss_bbox: 0.2011 enc_loss_iou: 0.3403 dn_loss_cls: 0.0996 dn_loss_bbox: 0.1884 dn_loss_iou: 0.2279 d0.dn_loss_cls: 0.1809 d0.dn_loss_bbox: 0.3491 d0.dn_loss_iou: 0.3755 d1.dn_loss_cls: 0.1249 d1.dn_loss_bbox: 0.2225 d1.dn_loss_iou: 0.2586 d2.dn_loss_cls: 0.1086 d2.dn_loss_bbox: 0.1984 d2.dn_loss_iou: 0.2358 d3.dn_loss_cls: 0.1045 d3.dn_loss_bbox: 0.1903 d3.dn_loss_iou: 0.2293 d4.dn_loss_cls: 0.0999 d4.dn_loss_bbox: 0.1882 d4.dn_loss_iou: 0.2278 d1.loss_lmm_region: 0.1358 loss_lmm_image: 0.8167 2024/11/03 19:48:59 - mmengine - INFO - Iter(train) [108700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:22:58 time: 0.9803 data_time: 0.0184 memory: 20454 grad_norm: 23.6181 loss: 11.4386 loss_cls: 0.3653 loss_bbox: 0.2051 loss_iou: 0.3278 d0.loss_cls: 0.4117 d0.loss_bbox: 0.2224 d0.loss_iou: 0.3496 d1.loss_cls: 0.3894 d1.loss_bbox: 0.2121 d1.loss_iou: 0.3323 d2.loss_cls: 0.3852 d2.loss_bbox: 0.2016 d2.loss_iou: 0.3280 d3.loss_cls: 0.3737 d3.loss_bbox: 0.2043 d3.loss_iou: 0.3277 d4.loss_cls: 0.3670 d4.loss_bbox: 0.2062 d4.loss_iou: 0.3273 enc_loss_cls: 0.4416 enc_loss_bbox: 0.2390 enc_loss_iou: 0.3693 dn_loss_cls: 0.0895 dn_loss_bbox: 0.2125 dn_loss_iou: 0.2567 d0.dn_loss_cls: 0.1898 d0.dn_loss_bbox: 0.3788 d0.dn_loss_iou: 0.4105 d1.dn_loss_cls: 0.1297 d1.dn_loss_bbox: 0.2484 d1.dn_loss_iou: 0.2905 d2.dn_loss_cls: 0.1092 d2.dn_loss_bbox: 0.2231 d2.dn_loss_iou: 0.2665 d3.dn_loss_cls: 0.0957 d3.dn_loss_bbox: 0.2123 d3.dn_loss_iou: 0.2580 d4.dn_loss_cls: 0.0900 d4.dn_loss_bbox: 0.2125 d4.dn_loss_iou: 0.2565 d1.loss_lmm_region: 0.1358 loss_lmm_image: 0.7863 2024/11/03 19:50:36 - mmengine - INFO - Iter(train) [108800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:21:18 time: 0.9828 data_time: 0.0184 memory: 21119 grad_norm: 26.5565 loss: 9.5156 loss_cls: 0.2945 loss_bbox: 0.1483 loss_iou: 0.2525 d0.loss_cls: 0.3271 d0.loss_bbox: 0.1599 d0.loss_iou: 0.2685 d1.loss_cls: 0.3089 d1.loss_bbox: 0.1533 d1.loss_iou: 0.2589 d2.loss_cls: 0.3013 d2.loss_bbox: 0.1489 d2.loss_iou: 0.2564 d3.loss_cls: 0.3016 d3.loss_bbox: 0.1467 d3.loss_iou: 0.2529 d4.loss_cls: 0.2977 d4.loss_bbox: 0.1463 d4.loss_iou: 0.2510 enc_loss_cls: 0.3488 enc_loss_bbox: 0.1745 enc_loss_iou: 0.2884 dn_loss_cls: 0.0846 dn_loss_bbox: 0.1782 dn_loss_iou: 0.2250 d0.dn_loss_cls: 0.1759 d0.dn_loss_bbox: 0.3599 d0.dn_loss_iou: 0.3862 d1.dn_loss_cls: 0.1173 d1.dn_loss_bbox: 0.2200 d1.dn_loss_iou: 0.2619 d2.dn_loss_cls: 0.0984 d2.dn_loss_bbox: 0.1910 d2.dn_loss_iou: 0.2347 d3.dn_loss_cls: 0.0906 d3.dn_loss_bbox: 0.1802 d3.dn_loss_iou: 0.2263 d4.dn_loss_cls: 0.0854 d4.dn_loss_bbox: 0.1783 d4.dn_loss_iou: 0.2248 d1.loss_lmm_region: 0.1353 loss_lmm_image: 0.7751 2024/11/03 19:52:15 - mmengine - INFO - Iter(train) [108900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:19:39 time: 0.9775 data_time: 0.0183 memory: 20901 grad_norm: 28.0068 loss: 10.1264 loss_cls: 0.3039 loss_bbox: 0.1601 loss_iou: 0.3033 d0.loss_cls: 0.3384 d0.loss_bbox: 0.1710 d0.loss_iou: 0.3214 d1.loss_cls: 0.3194 d1.loss_bbox: 0.1658 d1.loss_iou: 0.3143 d2.loss_cls: 0.3127 d2.loss_bbox: 0.1631 d2.loss_iou: 0.3083 d3.loss_cls: 0.3099 d3.loss_bbox: 0.1611 d3.loss_iou: 0.3042 d4.loss_cls: 0.3050 d4.loss_bbox: 0.1616 d4.loss_iou: 0.3016 enc_loss_cls: 0.3629 enc_loss_bbox: 0.1871 enc_loss_iou: 0.3438 dn_loss_cls: 0.0819 dn_loss_bbox: 0.1762 dn_loss_iou: 0.2361 d0.dn_loss_cls: 0.1828 d0.dn_loss_bbox: 0.3458 d0.dn_loss_iou: 0.4006 d1.dn_loss_cls: 0.1186 d1.dn_loss_bbox: 0.2233 d1.dn_loss_iou: 0.2763 d2.dn_loss_cls: 0.0987 d2.dn_loss_bbox: 0.1837 d2.dn_loss_iou: 0.2451 d3.dn_loss_cls: 0.0883 d3.dn_loss_bbox: 0.1775 d3.dn_loss_iou: 0.2376 d4.dn_loss_cls: 0.0831 d4.dn_loss_bbox: 0.1762 d4.dn_loss_iou: 0.2361 d1.loss_lmm_region: 0.1313 loss_lmm_image: 0.8079 2024/11/03 19:53:52 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 19:53:52 - mmengine - INFO - Iter(train) [109000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:17:59 time: 0.9763 data_time: 0.0184 memory: 21556 grad_norm: 24.7455 loss: 9.3289 loss_cls: 0.2843 loss_bbox: 0.1406 loss_iou: 0.2600 d0.loss_cls: 0.3154 d0.loss_bbox: 0.1580 d0.loss_iou: 0.2814 d1.loss_cls: 0.3020 d1.loss_bbox: 0.1443 d1.loss_iou: 0.2692 d2.loss_cls: 0.2929 d2.loss_bbox: 0.1419 d2.loss_iou: 0.2635 d3.loss_cls: 0.2916 d3.loss_bbox: 0.1413 d3.loss_iou: 0.2614 d4.loss_cls: 0.2856 d4.loss_bbox: 0.1405 d4.loss_iou: 0.2607 enc_loss_cls: 0.3294 enc_loss_bbox: 0.1729 enc_loss_iou: 0.3115 dn_loss_cls: 0.0822 dn_loss_bbox: 0.1714 dn_loss_iou: 0.2234 d0.dn_loss_cls: 0.1703 d0.dn_loss_bbox: 0.3123 d0.dn_loss_iou: 0.3690 d1.dn_loss_cls: 0.1139 d1.dn_loss_bbox: 0.1997 d1.dn_loss_iou: 0.2551 d2.dn_loss_cls: 0.0971 d2.dn_loss_bbox: 0.1777 d2.dn_loss_iou: 0.2301 d3.dn_loss_cls: 0.0883 d3.dn_loss_bbox: 0.1716 d3.dn_loss_iou: 0.2243 d4.dn_loss_cls: 0.0843 d4.dn_loss_bbox: 0.1713 d4.dn_loss_iou: 0.2233 d1.loss_lmm_region: 0.1315 loss_lmm_image: 0.7838 2024/11/03 19:55:30 - mmengine - INFO - Iter(train) [109100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:16:19 time: 0.9795 data_time: 0.0183 memory: 21322 grad_norm: 23.3065 loss: 8.2879 loss_cls: 0.2501 loss_bbox: 0.1102 loss_iou: 0.2155 d0.loss_cls: 0.2812 d0.loss_bbox: 0.1247 d0.loss_iou: 0.2310 d1.loss_cls: 0.2653 d1.loss_bbox: 0.1181 d1.loss_iou: 0.2261 d2.loss_cls: 0.2588 d2.loss_bbox: 0.1129 d2.loss_iou: 0.2180 d3.loss_cls: 0.2569 d3.loss_bbox: 0.1100 d3.loss_iou: 0.2161 d4.loss_cls: 0.2525 d4.loss_bbox: 0.1093 d4.loss_iou: 0.2154 enc_loss_cls: 0.2974 enc_loss_bbox: 0.1430 enc_loss_iou: 0.2531 dn_loss_cls: 0.0650 dn_loss_bbox: 0.1563 dn_loss_iou: 0.2101 d0.dn_loss_cls: 0.1544 d0.dn_loss_bbox: 0.2976 d0.dn_loss_iou: 0.3558 d1.dn_loss_cls: 0.0997 d1.dn_loss_bbox: 0.1906 d1.dn_loss_iou: 0.2450 d2.dn_loss_cls: 0.0799 d2.dn_loss_bbox: 0.1673 d2.dn_loss_iou: 0.2202 d3.dn_loss_cls: 0.0703 d3.dn_loss_bbox: 0.1566 d3.dn_loss_iou: 0.2112 d4.dn_loss_cls: 0.0659 d4.dn_loss_bbox: 0.1563 d4.dn_loss_iou: 0.2101 d1.loss_lmm_region: 0.1381 loss_lmm_image: 0.7718 2024/11/03 19:57:08 - mmengine - INFO - Iter(train) [109200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:14:39 time: 0.9758 data_time: 0.0186 memory: 21283 grad_norm: 22.4215 loss: 9.5039 loss_cls: 0.2910 loss_bbox: 0.1551 loss_iou: 0.2641 d0.loss_cls: 0.3328 d0.loss_bbox: 0.1719 d0.loss_iou: 0.2836 d1.loss_cls: 0.3101 d1.loss_bbox: 0.1598 d1.loss_iou: 0.2687 d2.loss_cls: 0.3001 d2.loss_bbox: 0.1546 d2.loss_iou: 0.2629 d3.loss_cls: 0.2983 d3.loss_bbox: 0.1538 d3.loss_iou: 0.2613 d4.loss_cls: 0.2912 d4.loss_bbox: 0.1562 d4.loss_iou: 0.2647 enc_loss_cls: 0.3569 enc_loss_bbox: 0.1851 enc_loss_iou: 0.3020 dn_loss_cls: 0.0834 dn_loss_bbox: 0.1641 dn_loss_iou: 0.2178 d0.dn_loss_cls: 0.1755 d0.dn_loss_bbox: 0.3423 d0.dn_loss_iou: 0.3717 d1.dn_loss_cls: 0.1179 d1.dn_loss_bbox: 0.2050 d1.dn_loss_iou: 0.2542 d2.dn_loss_cls: 0.1009 d2.dn_loss_bbox: 0.1738 d2.dn_loss_iou: 0.2271 d3.dn_loss_cls: 0.0904 d3.dn_loss_bbox: 0.1648 d3.dn_loss_iou: 0.2187 d4.dn_loss_cls: 0.0847 d4.dn_loss_bbox: 0.1642 d4.dn_loss_iou: 0.2177 d1.loss_lmm_region: 0.1467 loss_lmm_image: 0.7590 2024/11/03 19:58:45 - mmengine - INFO - Iter(train) [109300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:12:59 time: 0.9721 data_time: 0.0186 memory: 21486 grad_norm: nan loss: 9.3119 loss_cls: 0.2674 loss_bbox: 0.1504 loss_iou: 0.2538 d0.loss_cls: 0.2980 d0.loss_bbox: 0.1626 d0.loss_iou: 0.2677 d1.loss_cls: 0.2873 d1.loss_bbox: 0.1557 d1.loss_iou: 0.2566 d2.loss_cls: 0.2766 d2.loss_bbox: 0.1532 d2.loss_iou: 0.2558 d3.loss_cls: 0.2729 d3.loss_bbox: 0.1500 d3.loss_iou: 0.2539 d4.loss_cls: 0.2688 d4.loss_bbox: 0.1497 d4.loss_iou: 0.2529 enc_loss_cls: 0.3234 enc_loss_bbox: 0.1788 enc_loss_iou: 0.2860 dn_loss_cls: 0.0832 dn_loss_bbox: 0.1747 dn_loss_iou: 0.2297 d0.dn_loss_cls: 0.1700 d0.dn_loss_bbox: 0.3380 d0.dn_loss_iou: 0.3801 d1.dn_loss_cls: 0.1152 d1.dn_loss_bbox: 0.2102 d1.dn_loss_iou: 0.2621 d2.dn_loss_cls: 0.0970 d2.dn_loss_bbox: 0.1845 d2.dn_loss_iou: 0.2373 d3.dn_loss_cls: 0.0881 d3.dn_loss_bbox: 0.1767 d3.dn_loss_iou: 0.2309 d4.dn_loss_cls: 0.0845 d4.dn_loss_bbox: 0.1748 d4.dn_loss_iou: 0.2296 d1.loss_lmm_region: 0.1338 loss_lmm_image: 0.7900 2024/11/03 20:00:24 - mmengine - INFO - Iter(train) [109400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:11:20 time: 0.9807 data_time: 0.0184 memory: 20767 grad_norm: 20.2991 loss: 9.3446 loss_cls: 0.3254 loss_bbox: 0.1356 loss_iou: 0.2471 d0.loss_cls: 0.3590 d0.loss_bbox: 0.1437 d0.loss_iou: 0.2634 d1.loss_cls: 0.3470 d1.loss_bbox: 0.1370 d1.loss_iou: 0.2527 d2.loss_cls: 0.3393 d2.loss_bbox: 0.1334 d2.loss_iou: 0.2489 d3.loss_cls: 0.3332 d3.loss_bbox: 0.1317 d3.loss_iou: 0.2447 d4.loss_cls: 0.3291 d4.loss_bbox: 0.1321 d4.loss_iou: 0.2451 enc_loss_cls: 0.3770 enc_loss_bbox: 0.1540 enc_loss_iou: 0.2814 dn_loss_cls: 0.1085 dn_loss_bbox: 0.1497 dn_loss_iou: 0.2083 d0.dn_loss_cls: 0.1861 d0.dn_loss_bbox: 0.2877 d0.dn_loss_iou: 0.3453 d1.dn_loss_cls: 0.1318 d1.dn_loss_bbox: 0.1798 d1.dn_loss_iou: 0.2394 d2.dn_loss_cls: 0.1177 d2.dn_loss_bbox: 0.1578 d2.dn_loss_iou: 0.2166 d3.dn_loss_cls: 0.1142 d3.dn_loss_bbox: 0.1514 d3.dn_loss_iou: 0.2103 d4.dn_loss_cls: 0.1112 d4.dn_loss_bbox: 0.1496 d4.dn_loss_iou: 0.2081 d1.loss_lmm_region: 0.1258 loss_lmm_image: 0.7845 2024/11/03 20:02:01 - mmengine - INFO - Iter(train) [109500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:09:40 time: 0.9752 data_time: 0.0184 memory: 20039 grad_norm: 21.9546 loss: 7.9535 loss_cls: 0.2274 loss_bbox: 0.1157 loss_iou: 0.2176 d0.loss_cls: 0.2538 d0.loss_bbox: 0.1320 d0.loss_iou: 0.2346 d1.loss_cls: 0.2352 d1.loss_bbox: 0.1208 d1.loss_iou: 0.2252 d2.loss_cls: 0.2320 d2.loss_bbox: 0.1160 d2.loss_iou: 0.2185 d3.loss_cls: 0.2310 d3.loss_bbox: 0.1160 d3.loss_iou: 0.2173 d4.loss_cls: 0.2268 d4.loss_bbox: 0.1156 d4.loss_iou: 0.2185 enc_loss_cls: 0.2671 enc_loss_bbox: 0.1399 enc_loss_iou: 0.2557 dn_loss_cls: 0.0521 dn_loss_bbox: 0.1558 dn_loss_iou: 0.2069 d0.dn_loss_cls: 0.1296 d0.dn_loss_bbox: 0.3069 d0.dn_loss_iou: 0.3462 d1.dn_loss_cls: 0.0778 d1.dn_loss_bbox: 0.1890 d1.dn_loss_iou: 0.2377 d2.dn_loss_cls: 0.0615 d2.dn_loss_bbox: 0.1625 d2.dn_loss_iou: 0.2143 d3.dn_loss_cls: 0.0559 d3.dn_loss_bbox: 0.1562 d3.dn_loss_iou: 0.2080 d4.dn_loss_cls: 0.0524 d4.dn_loss_bbox: 0.1558 d4.dn_loss_iou: 0.2068 d1.loss_lmm_region: 0.1062 loss_lmm_image: 0.7554 2024/11/03 20:03:40 - mmengine - INFO - Iter(train) [109600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:08:00 time: 0.9907 data_time: 0.0186 memory: 20530 grad_norm: 21.6364 loss: 9.5962 loss_cls: 0.2814 loss_bbox: 0.1484 loss_iou: 0.2811 d0.loss_cls: 0.3145 d0.loss_bbox: 0.1673 d0.loss_iou: 0.2984 d1.loss_cls: 0.3035 d1.loss_bbox: 0.1500 d1.loss_iou: 0.2830 d2.loss_cls: 0.2936 d2.loss_bbox: 0.1470 d2.loss_iou: 0.2827 d3.loss_cls: 0.2882 d3.loss_bbox: 0.1476 d3.loss_iou: 0.2823 d4.loss_cls: 0.2834 d4.loss_bbox: 0.1485 d4.loss_iou: 0.2808 enc_loss_cls: 0.3407 enc_loss_bbox: 0.1812 enc_loss_iou: 0.3192 dn_loss_cls: 0.0887 dn_loss_bbox: 0.1670 dn_loss_iou: 0.2302 d0.dn_loss_cls: 0.1690 d0.dn_loss_bbox: 0.3137 d0.dn_loss_iou: 0.3855 d1.dn_loss_cls: 0.1166 d1.dn_loss_bbox: 0.2012 d1.dn_loss_iou: 0.2663 d2.dn_loss_cls: 0.0999 d2.dn_loss_bbox: 0.1753 d2.dn_loss_iou: 0.2397 d3.dn_loss_cls: 0.0930 d3.dn_loss_bbox: 0.1692 d3.dn_loss_iou: 0.2320 d4.dn_loss_cls: 0.0892 d4.dn_loss_bbox: 0.1670 d4.dn_loss_iou: 0.2303 d1.loss_lmm_region: 0.1183 loss_lmm_image: 0.8216 2024/11/03 20:05:17 - mmengine - INFO - Iter(train) [109700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:06:20 time: 0.9804 data_time: 0.0185 memory: 21222 grad_norm: 24.2583 loss: 9.4573 loss_cls: 0.3033 loss_bbox: 0.1399 loss_iou: 0.2670 d0.loss_cls: 0.3394 d0.loss_bbox: 0.1645 d0.loss_iou: 0.2937 d1.loss_cls: 0.3290 d1.loss_bbox: 0.1437 d1.loss_iou: 0.2714 d2.loss_cls: 0.3163 d2.loss_bbox: 0.1431 d2.loss_iou: 0.2691 d3.loss_cls: 0.3076 d3.loss_bbox: 0.1403 d3.loss_iou: 0.2667 d4.loss_cls: 0.3049 d4.loss_bbox: 0.1399 d4.loss_iou: 0.2661 enc_loss_cls: 0.3578 enc_loss_bbox: 0.1805 enc_loss_iou: 0.3193 dn_loss_cls: 0.0798 dn_loss_bbox: 0.1603 dn_loss_iou: 0.2167 d0.dn_loss_cls: 0.1613 d0.dn_loss_bbox: 0.3021 d0.dn_loss_iou: 0.3655 d1.dn_loss_cls: 0.1129 d1.dn_loss_bbox: 0.1970 d1.dn_loss_iou: 0.2513 d2.dn_loss_cls: 0.0945 d2.dn_loss_bbox: 0.1704 d2.dn_loss_iou: 0.2260 d3.dn_loss_cls: 0.0855 d3.dn_loss_bbox: 0.1615 d3.dn_loss_iou: 0.2180 d4.dn_loss_cls: 0.0800 d4.dn_loss_bbox: 0.1603 d4.dn_loss_iou: 0.2166 d1.loss_lmm_region: 0.1233 loss_lmm_image: 0.8112 2024/11/03 20:06:55 - mmengine - INFO - Iter(train) [109800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:04:41 time: 0.9743 data_time: 0.0186 memory: 20656 grad_norm: 22.0540 loss: 8.9092 loss_cls: 0.2791 loss_bbox: 0.1342 loss_iou: 0.2587 d0.loss_cls: 0.3048 d0.loss_bbox: 0.1455 d0.loss_iou: 0.2793 d1.loss_cls: 0.2926 d1.loss_bbox: 0.1349 d1.loss_iou: 0.2648 d2.loss_cls: 0.2882 d2.loss_bbox: 0.1329 d2.loss_iou: 0.2589 d3.loss_cls: 0.2828 d3.loss_bbox: 0.1354 d3.loss_iou: 0.2598 d4.loss_cls: 0.2777 d4.loss_bbox: 0.1347 d4.loss_iou: 0.2601 enc_loss_cls: 0.3190 enc_loss_bbox: 0.1614 enc_loss_iou: 0.2999 dn_loss_cls: 0.0806 dn_loss_bbox: 0.1480 dn_loss_iou: 0.2057 d0.dn_loss_cls: 0.1547 d0.dn_loss_bbox: 0.2875 d0.dn_loss_iou: 0.3508 d1.dn_loss_cls: 0.1034 d1.dn_loss_bbox: 0.1787 d1.dn_loss_iou: 0.2369 d2.dn_loss_cls: 0.0925 d2.dn_loss_bbox: 0.1564 d2.dn_loss_iou: 0.2140 d3.dn_loss_cls: 0.0868 d3.dn_loss_bbox: 0.1493 d3.dn_loss_iou: 0.2069 d4.dn_loss_cls: 0.0814 d4.dn_loss_bbox: 0.1481 d4.dn_loss_iou: 0.2057 d1.loss_lmm_region: 0.1089 loss_lmm_image: 0.8083 2024/11/03 20:08:32 - mmengine - INFO - Iter(train) [109900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:03:01 time: 0.9711 data_time: 0.0183 memory: 20793 grad_norm: 20.5435 loss: 7.8355 loss_cls: 0.2417 loss_bbox: 0.1083 loss_iou: 0.1959 d0.loss_cls: 0.2678 d0.loss_bbox: 0.1203 d0.loss_iou: 0.2142 d1.loss_cls: 0.2568 d1.loss_bbox: 0.1136 d1.loss_iou: 0.2028 d2.loss_cls: 0.2470 d2.loss_bbox: 0.1090 d2.loss_iou: 0.1974 d3.loss_cls: 0.2455 d3.loss_bbox: 0.1083 d3.loss_iou: 0.1946 d4.loss_cls: 0.2441 d4.loss_bbox: 0.1075 d4.loss_iou: 0.1956 enc_loss_cls: 0.2856 enc_loss_bbox: 0.1295 enc_loss_iou: 0.2285 dn_loss_cls: 0.0738 dn_loss_bbox: 0.1406 dn_loss_iou: 0.1847 d0.dn_loss_cls: 0.1495 d0.dn_loss_bbox: 0.2921 d0.dn_loss_iou: 0.3312 d1.dn_loss_cls: 0.1027 d1.dn_loss_bbox: 0.1745 d1.dn_loss_iou: 0.2179 d2.dn_loss_cls: 0.0882 d2.dn_loss_bbox: 0.1476 d2.dn_loss_iou: 0.1937 d3.dn_loss_cls: 0.0785 d3.dn_loss_bbox: 0.1413 d3.dn_loss_iou: 0.1863 d4.dn_loss_cls: 0.0743 d4.dn_loss_bbox: 0.1405 d4.dn_loss_iou: 0.1846 d1.loss_lmm_region: 0.1137 loss_lmm_image: 0.8059 2024/11/03 20:10:11 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 20:10:11 - mmengine - INFO - Iter(train) [110000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:01:21 time: 0.9766 data_time: 0.0185 memory: 21031 grad_norm: 24.4418 loss: 8.9919 loss_cls: 0.2651 loss_bbox: 0.1281 loss_iou: 0.2434 d0.loss_cls: 0.2990 d0.loss_bbox: 0.1384 d0.loss_iou: 0.2592 d1.loss_cls: 0.2809 d1.loss_bbox: 0.1328 d1.loss_iou: 0.2519 d2.loss_cls: 0.2749 d2.loss_bbox: 0.1264 d2.loss_iou: 0.2439 d3.loss_cls: 0.2747 d3.loss_bbox: 0.1235 d3.loss_iou: 0.2419 d4.loss_cls: 0.2674 d4.loss_bbox: 0.1275 d4.loss_iou: 0.2433 enc_loss_cls: 0.3235 enc_loss_bbox: 0.1489 enc_loss_iou: 0.2819 dn_loss_cls: 0.0829 dn_loss_bbox: 0.1658 dn_loss_iou: 0.2246 d0.dn_loss_cls: 0.1718 d0.dn_loss_bbox: 0.3176 d0.dn_loss_iou: 0.3694 d1.dn_loss_cls: 0.1156 d1.dn_loss_bbox: 0.2027 d1.dn_loss_iou: 0.2581 d2.dn_loss_cls: 0.0994 d2.dn_loss_bbox: 0.1755 d2.dn_loss_iou: 0.2337 d3.dn_loss_cls: 0.0886 d3.dn_loss_bbox: 0.1673 d3.dn_loss_iou: 0.2259 d4.dn_loss_cls: 0.0830 d4.dn_loss_bbox: 0.1657 d4.dn_loss_iou: 0.2245 d1.loss_lmm_region: 0.1363 loss_lmm_image: 0.8070 2024/11/03 20:11:50 - mmengine - INFO - Iter(train) [110100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:59:42 time: 0.9880 data_time: 0.0185 memory: 21344 grad_norm: 26.0102 loss: 11.2363 loss_cls: 0.3725 loss_bbox: 0.1980 loss_iou: 0.3712 d0.loss_cls: 0.4209 d0.loss_bbox: 0.2019 d0.loss_iou: 0.3836 d1.loss_cls: 0.3868 d1.loss_bbox: 0.2059 d1.loss_iou: 0.3802 d2.loss_cls: 0.3814 d2.loss_bbox: 0.1991 d2.loss_iou: 0.3752 d3.loss_cls: 0.3832 d3.loss_bbox: 0.1955 d3.loss_iou: 0.3697 d4.loss_cls: 0.3752 d4.loss_bbox: 0.1975 d4.loss_iou: 0.3703 enc_loss_cls: 0.4287 enc_loss_bbox: 0.2305 enc_loss_iou: 0.4184 dn_loss_cls: 0.0838 dn_loss_bbox: 0.1707 dn_loss_iou: 0.2428 d0.dn_loss_cls: 0.1682 d0.dn_loss_bbox: 0.3150 d0.dn_loss_iou: 0.3902 d1.dn_loss_cls: 0.1130 d1.dn_loss_bbox: 0.2043 d1.dn_loss_iou: 0.2770 d2.dn_loss_cls: 0.0988 d2.dn_loss_bbox: 0.1792 d2.dn_loss_iou: 0.2513 d3.dn_loss_cls: 0.0899 d3.dn_loss_bbox: 0.1718 d3.dn_loss_iou: 0.2439 d4.dn_loss_cls: 0.0849 d4.dn_loss_bbox: 0.1706 d4.dn_loss_iou: 0.2427 d1.loss_lmm_region: 0.1159 loss_lmm_image: 0.7765 2024/11/03 20:13:28 - mmengine - INFO - Iter(train) [110200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:58:03 time: 0.9818 data_time: 0.0185 memory: 20701 grad_norm: 21.3817 loss: 9.2709 loss_cls: 0.2825 loss_bbox: 0.1416 loss_iou: 0.2639 d0.loss_cls: 0.3087 d0.loss_bbox: 0.1577 d0.loss_iou: 0.2879 d1.loss_cls: 0.3044 d1.loss_bbox: 0.1444 d1.loss_iou: 0.2702 d2.loss_cls: 0.2948 d2.loss_bbox: 0.1426 d2.loss_iou: 0.2636 d3.loss_cls: 0.2867 d3.loss_bbox: 0.1433 d3.loss_iou: 0.2647 d4.loss_cls: 0.2843 d4.loss_bbox: 0.1404 d4.loss_iou: 0.2632 enc_loss_cls: 0.3238 enc_loss_bbox: 0.1673 enc_loss_iou: 0.3031 dn_loss_cls: 0.0716 dn_loss_bbox: 0.1730 dn_loss_iou: 0.2299 d0.dn_loss_cls: 0.1503 d0.dn_loss_bbox: 0.3060 d0.dn_loss_iou: 0.3652 d1.dn_loss_cls: 0.0990 d1.dn_loss_bbox: 0.1996 d1.dn_loss_iou: 0.2577 d2.dn_loss_cls: 0.0840 d2.dn_loss_bbox: 0.1810 d2.dn_loss_iou: 0.2368 d3.dn_loss_cls: 0.0757 d3.dn_loss_bbox: 0.1743 d3.dn_loss_iou: 0.2314 d4.dn_loss_cls: 0.0720 d4.dn_loss_bbox: 0.1730 d4.dn_loss_iou: 0.2298 d1.loss_lmm_region: 0.1243 loss_lmm_image: 0.7974 2024/11/03 20:15:06 - mmengine - INFO - Iter(train) [110300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:56:23 time: 0.9887 data_time: 0.0184 memory: 20443 grad_norm: 21.4659 loss: 9.2296 loss_cls: 0.3062 loss_bbox: 0.1390 loss_iou: 0.2369 d0.loss_cls: 0.3403 d0.loss_bbox: 0.1540 d0.loss_iou: 0.2527 d1.loss_cls: 0.3203 d1.loss_bbox: 0.1417 d1.loss_iou: 0.2405 d2.loss_cls: 0.3206 d2.loss_bbox: 0.1388 d2.loss_iou: 0.2398 d3.loss_cls: 0.3113 d3.loss_bbox: 0.1379 d3.loss_iou: 0.2391 d4.loss_cls: 0.3064 d4.loss_bbox: 0.1411 d4.loss_iou: 0.2394 enc_loss_cls: 0.3569 enc_loss_bbox: 0.1755 enc_loss_iou: 0.2814 dn_loss_cls: 0.0839 dn_loss_bbox: 0.1641 dn_loss_iou: 0.2116 d0.dn_loss_cls: 0.1728 d0.dn_loss_bbox: 0.3104 d0.dn_loss_iou: 0.3554 d1.dn_loss_cls: 0.1125 d1.dn_loss_bbox: 0.1949 d1.dn_loss_iou: 0.2424 d2.dn_loss_cls: 0.0980 d2.dn_loss_bbox: 0.1738 d2.dn_loss_iou: 0.2200 d3.dn_loss_cls: 0.0886 d3.dn_loss_bbox: 0.1656 d3.dn_loss_iou: 0.2130 d4.dn_loss_cls: 0.0843 d4.dn_loss_bbox: 0.1640 d4.dn_loss_iou: 0.2117 d1.loss_lmm_region: 0.1355 loss_lmm_image: 0.8074 2024/11/03 20:16:44 - mmengine - INFO - Iter(train) [110400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:54:43 time: 0.9876 data_time: 0.0185 memory: 21408 grad_norm: 20.6398 loss: 9.5471 loss_cls: 0.2934 loss_bbox: 0.1546 loss_iou: 0.2824 d0.loss_cls: 0.3322 d0.loss_bbox: 0.1625 d0.loss_iou: 0.2955 d1.loss_cls: 0.3152 d1.loss_bbox: 0.1556 d1.loss_iou: 0.2842 d2.loss_cls: 0.3038 d2.loss_bbox: 0.1540 d2.loss_iou: 0.2797 d3.loss_cls: 0.2991 d3.loss_bbox: 0.1521 d3.loss_iou: 0.2803 d4.loss_cls: 0.2954 d4.loss_bbox: 0.1529 d4.loss_iou: 0.2805 enc_loss_cls: 0.3532 enc_loss_bbox: 0.1747 enc_loss_iou: 0.3159 dn_loss_cls: 0.0803 dn_loss_bbox: 0.1692 dn_loss_iou: 0.2181 d0.dn_loss_cls: 0.1727 d0.dn_loss_bbox: 0.3253 d0.dn_loss_iou: 0.3660 d1.dn_loss_cls: 0.1132 d1.dn_loss_bbox: 0.2022 d1.dn_loss_iou: 0.2517 d2.dn_loss_cls: 0.0936 d2.dn_loss_bbox: 0.1758 d2.dn_loss_iou: 0.2252 d3.dn_loss_cls: 0.0833 d3.dn_loss_bbox: 0.1707 d3.dn_loss_iou: 0.2193 d4.dn_loss_cls: 0.0813 d4.dn_loss_bbox: 0.1692 d4.dn_loss_iou: 0.2180 d1.loss_lmm_region: 0.1361 loss_lmm_image: 0.7591 2024/11/03 20:18:21 - mmengine - INFO - Iter(train) [110500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:53:04 time: 0.9642 data_time: 0.0184 memory: 20469 grad_norm: 20.5984 loss: 8.6949 loss_cls: 0.2524 loss_bbox: 0.1305 loss_iou: 0.2305 d0.loss_cls: 0.2882 d0.loss_bbox: 0.1392 d0.loss_iou: 0.2498 d1.loss_cls: 0.2693 d1.loss_bbox: 0.1347 d1.loss_iou: 0.2383 d2.loss_cls: 0.2683 d2.loss_bbox: 0.1270 d2.loss_iou: 0.2287 d3.loss_cls: 0.2636 d3.loss_bbox: 0.1259 d3.loss_iou: 0.2278 d4.loss_cls: 0.2544 d4.loss_bbox: 0.1276 d4.loss_iou: 0.2282 enc_loss_cls: 0.3041 enc_loss_bbox: 0.1564 enc_loss_iou: 0.2691 dn_loss_cls: 0.0670 dn_loss_bbox: 0.1706 dn_loss_iou: 0.2204 d0.dn_loss_cls: 0.1586 d0.dn_loss_bbox: 0.3273 d0.dn_loss_iou: 0.3752 d1.dn_loss_cls: 0.1001 d1.dn_loss_bbox: 0.2099 d1.dn_loss_iou: 0.2577 d2.dn_loss_cls: 0.0832 d2.dn_loss_bbox: 0.1815 d2.dn_loss_iou: 0.2307 d3.dn_loss_cls: 0.0719 d3.dn_loss_bbox: 0.1723 d3.dn_loss_iou: 0.2217 d4.dn_loss_cls: 0.0670 d4.dn_loss_bbox: 0.1707 d4.dn_loss_iou: 0.2205 d1.loss_lmm_region: 0.1090 loss_lmm_image: 0.7656 2024/11/03 20:19:59 - mmengine - INFO - Iter(train) [110600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:51:24 time: 0.9734 data_time: 0.0185 memory: 21048 grad_norm: 21.7853 loss: 10.0507 loss_cls: 0.3144 loss_bbox: 0.1712 loss_iou: 0.2977 d0.loss_cls: 0.3491 d0.loss_bbox: 0.1748 d0.loss_iou: 0.3152 d1.loss_cls: 0.3307 d1.loss_bbox: 0.1745 d1.loss_iou: 0.3094 d2.loss_cls: 0.3207 d2.loss_bbox: 0.1687 d2.loss_iou: 0.2988 d3.loss_cls: 0.3195 d3.loss_bbox: 0.1710 d3.loss_iou: 0.2955 d4.loss_cls: 0.3149 d4.loss_bbox: 0.1721 d4.loss_iou: 0.2975 enc_loss_cls: 0.3542 enc_loss_bbox: 0.1993 enc_loss_iou: 0.3368 dn_loss_cls: 0.0917 dn_loss_bbox: 0.1718 dn_loss_iou: 0.2301 d0.dn_loss_cls: 0.1710 d0.dn_loss_bbox: 0.3078 d0.dn_loss_iou: 0.3735 d1.dn_loss_cls: 0.1235 d1.dn_loss_bbox: 0.1993 d1.dn_loss_iou: 0.2608 d2.dn_loss_cls: 0.1090 d2.dn_loss_bbox: 0.1790 d2.dn_loss_iou: 0.2380 d3.dn_loss_cls: 0.0976 d3.dn_loss_bbox: 0.1718 d3.dn_loss_iou: 0.2310 d4.dn_loss_cls: 0.0918 d4.dn_loss_bbox: 0.1717 d4.dn_loss_iou: 0.2300 d1.loss_lmm_region: 0.1230 loss_lmm_image: 0.7925 2024/11/03 20:21:37 - mmengine - INFO - Iter(train) [110700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:49:44 time: 0.9745 data_time: 0.0186 memory: 21235 grad_norm: 25.8517 loss: 8.9781 loss_cls: 0.2841 loss_bbox: 0.1322 loss_iou: 0.2479 d0.loss_cls: 0.3093 d0.loss_bbox: 0.1490 d0.loss_iou: 0.2712 d1.loss_cls: 0.2945 d1.loss_bbox: 0.1372 d1.loss_iou: 0.2575 d2.loss_cls: 0.2909 d2.loss_bbox: 0.1344 d2.loss_iou: 0.2509 d3.loss_cls: 0.2891 d3.loss_bbox: 0.1327 d3.loss_iou: 0.2474 d4.loss_cls: 0.2866 d4.loss_bbox: 0.1315 d4.loss_iou: 0.2468 enc_loss_cls: 0.3247 enc_loss_bbox: 0.1635 enc_loss_iou: 0.2976 dn_loss_cls: 0.0871 dn_loss_bbox: 0.1545 dn_loss_iou: 0.2037 d0.dn_loss_cls: 0.1696 d0.dn_loss_bbox: 0.3059 d0.dn_loss_iou: 0.3552 d1.dn_loss_cls: 0.1191 d1.dn_loss_bbox: 0.1858 d1.dn_loss_iou: 0.2364 d2.dn_loss_cls: 0.1026 d2.dn_loss_bbox: 0.1640 d2.dn_loss_iou: 0.2130 d3.dn_loss_cls: 0.0929 d3.dn_loss_bbox: 0.1558 d3.dn_loss_iou: 0.2057 d4.dn_loss_cls: 0.0872 d4.dn_loss_bbox: 0.1546 d4.dn_loss_iou: 0.2038 d1.loss_lmm_region: 0.1112 loss_lmm_image: 0.7910 2024/11/03 20:23:15 - mmengine - INFO - Iter(train) [110800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:48:05 time: 0.9809 data_time: 0.0186 memory: 20976 grad_norm: 23.5465 loss: 9.2088 loss_cls: 0.3076 loss_bbox: 0.1372 loss_iou: 0.2455 d0.loss_cls: 0.3350 d0.loss_bbox: 0.1550 d0.loss_iou: 0.2703 d1.loss_cls: 0.3231 d1.loss_bbox: 0.1442 d1.loss_iou: 0.2550 d2.loss_cls: 0.3186 d2.loss_bbox: 0.1389 d2.loss_iou: 0.2480 d3.loss_cls: 0.3142 d3.loss_bbox: 0.1370 d3.loss_iou: 0.2458 d4.loss_cls: 0.3102 d4.loss_bbox: 0.1366 d4.loss_iou: 0.2446 enc_loss_cls: 0.3553 enc_loss_bbox: 0.1661 enc_loss_iou: 0.2903 dn_loss_cls: 0.0805 dn_loss_bbox: 0.1641 dn_loss_iou: 0.2079 d0.dn_loss_cls: 0.1647 d0.dn_loss_bbox: 0.3050 d0.dn_loss_iou: 0.3481 d1.dn_loss_cls: 0.1096 d1.dn_loss_bbox: 0.1948 d1.dn_loss_iou: 0.2393 d2.dn_loss_cls: 0.0945 d2.dn_loss_bbox: 0.1721 d2.dn_loss_iou: 0.2160 d3.dn_loss_cls: 0.0869 d3.dn_loss_bbox: 0.1657 d3.dn_loss_iou: 0.2100 d4.dn_loss_cls: 0.0818 d4.dn_loss_bbox: 0.1641 d4.dn_loss_iou: 0.2079 d1.loss_lmm_region: 0.1346 loss_lmm_image: 0.7826 2024/11/03 20:24:53 - mmengine - INFO - Iter(train) [110900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:46:25 time: 0.9819 data_time: 0.0186 memory: 20781 grad_norm: 22.0855 loss: 10.1346 loss_cls: 0.3307 loss_bbox: 0.1608 loss_iou: 0.2926 d0.loss_cls: 0.3706 d0.loss_bbox: 0.1741 d0.loss_iou: 0.3105 d1.loss_cls: 0.3496 d1.loss_bbox: 0.1682 d1.loss_iou: 0.3060 d2.loss_cls: 0.3458 d2.loss_bbox: 0.1630 d2.loss_iou: 0.2975 d3.loss_cls: 0.3350 d3.loss_bbox: 0.1651 d3.loss_iou: 0.2975 d4.loss_cls: 0.3349 d4.loss_bbox: 0.1573 d4.loss_iou: 0.2932 enc_loss_cls: 0.3889 enc_loss_bbox: 0.1871 enc_loss_iou: 0.3378 dn_loss_cls: 0.0884 dn_loss_bbox: 0.1698 dn_loss_iou: 0.2318 d0.dn_loss_cls: 0.1878 d0.dn_loss_bbox: 0.3019 d0.dn_loss_iou: 0.3712 d1.dn_loss_cls: 0.1254 d1.dn_loss_bbox: 0.1983 d1.dn_loss_iou: 0.2630 d2.dn_loss_cls: 0.1054 d2.dn_loss_bbox: 0.1751 d2.dn_loss_iou: 0.2393 d3.dn_loss_cls: 0.0928 d3.dn_loss_bbox: 0.1705 d3.dn_loss_iou: 0.2329 d4.dn_loss_cls: 0.0884 d4.dn_loss_bbox: 0.1698 d4.dn_loss_iou: 0.2316 d1.loss_lmm_region: 0.1242 loss_lmm_image: 0.8010 2024/11/03 20:26:30 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 20:26:30 - mmengine - INFO - Iter(train) [111000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:44:45 time: 0.9786 data_time: 0.0185 memory: 20587 grad_norm: 22.9246 loss: 9.8492 loss_cls: 0.2878 loss_bbox: 0.1713 loss_iou: 0.3069 d0.loss_cls: 0.3261 d0.loss_bbox: 0.1779 d0.loss_iou: 0.3200 d1.loss_cls: 0.3026 d1.loss_bbox: 0.1729 d1.loss_iou: 0.3139 d2.loss_cls: 0.3035 d2.loss_bbox: 0.1678 d2.loss_iou: 0.3070 d3.loss_cls: 0.2926 d3.loss_bbox: 0.1723 d3.loss_iou: 0.3087 d4.loss_cls: 0.2900 d4.loss_bbox: 0.1716 d4.loss_iou: 0.3075 enc_loss_cls: 0.3432 enc_loss_bbox: 0.1881 enc_loss_iou: 0.3444 dn_loss_cls: 0.0757 dn_loss_bbox: 0.1624 dn_loss_iou: 0.2408 d0.dn_loss_cls: 0.1602 d0.dn_loss_bbox: 0.3101 d0.dn_loss_iou: 0.3890 d1.dn_loss_cls: 0.1063 d1.dn_loss_bbox: 0.1927 d1.dn_loss_iou: 0.2732 d2.dn_loss_cls: 0.0905 d2.dn_loss_bbox: 0.1702 d2.dn_loss_iou: 0.2483 d3.dn_loss_cls: 0.0797 d3.dn_loss_bbox: 0.1631 d3.dn_loss_iou: 0.2417 d4.dn_loss_cls: 0.0757 d4.dn_loss_bbox: 0.1622 d4.dn_loss_iou: 0.2408 d1.loss_lmm_region: 0.1277 loss_lmm_image: 0.7628 2024/11/03 20:28:08 - mmengine - INFO - Iter(train) [111100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:43:05 time: 0.9820 data_time: 0.0185 memory: 21259 grad_norm: 20.9010 loss: 8.5738 loss_cls: 0.2538 loss_bbox: 0.1130 loss_iou: 0.2140 d0.loss_cls: 0.2887 d0.loss_bbox: 0.1283 d0.loss_iou: 0.2338 d1.loss_cls: 0.2713 d1.loss_bbox: 0.1176 d1.loss_iou: 0.2194 d2.loss_cls: 0.2627 d2.loss_bbox: 0.1161 d2.loss_iou: 0.2172 d3.loss_cls: 0.2573 d3.loss_bbox: 0.1147 d3.loss_iou: 0.2159 d4.loss_cls: 0.2544 d4.loss_bbox: 0.1139 d4.loss_iou: 0.2144 enc_loss_cls: 0.2994 enc_loss_bbox: 0.1445 enc_loss_iou: 0.2602 dn_loss_cls: 0.0885 dn_loss_bbox: 0.1814 dn_loss_iou: 0.2059 d0.dn_loss_cls: 0.1697 d0.dn_loss_bbox: 0.3339 d0.dn_loss_iou: 0.3471 d1.dn_loss_cls: 0.1181 d1.dn_loss_bbox: 0.2194 d1.dn_loss_iou: 0.2393 d2.dn_loss_cls: 0.1040 d2.dn_loss_bbox: 0.1928 d2.dn_loss_iou: 0.2142 d3.dn_loss_cls: 0.0976 d3.dn_loss_bbox: 0.1834 d3.dn_loss_iou: 0.2077 d4.dn_loss_cls: 0.0894 d4.dn_loss_bbox: 0.1814 d4.dn_loss_iou: 0.2057 d1.loss_lmm_region: 0.1348 loss_lmm_image: 0.7491 2024/11/03 20:29:46 - mmengine - INFO - Iter(train) [111200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:41:26 time: 0.9667 data_time: 0.0185 memory: 20445 grad_norm: 22.3393 loss: 9.1703 loss_cls: 0.2595 loss_bbox: 0.1376 loss_iou: 0.2390 d0.loss_cls: 0.2789 d0.loss_bbox: 0.1566 d0.loss_iou: 0.2532 d1.loss_cls: 0.2717 d1.loss_bbox: 0.1422 d1.loss_iou: 0.2422 d2.loss_cls: 0.2668 d2.loss_bbox: 0.1385 d2.loss_iou: 0.2402 d3.loss_cls: 0.2637 d3.loss_bbox: 0.1380 d3.loss_iou: 0.2389 d4.loss_cls: 0.2617 d4.loss_bbox: 0.1387 d4.loss_iou: 0.2388 enc_loss_cls: 0.3062 enc_loss_bbox: 0.1549 enc_loss_iou: 0.2694 dn_loss_cls: 0.0917 dn_loss_bbox: 0.1910 dn_loss_iou: 0.2449 d0.dn_loss_cls: 0.1752 d0.dn_loss_bbox: 0.3360 d0.dn_loss_iou: 0.3995 d1.dn_loss_cls: 0.1221 d1.dn_loss_bbox: 0.2200 d1.dn_loss_iou: 0.2769 d2.dn_loss_cls: 0.1038 d2.dn_loss_bbox: 0.1960 d2.dn_loss_iou: 0.2513 d3.dn_loss_cls: 0.0974 d3.dn_loss_bbox: 0.1917 d3.dn_loss_iou: 0.2455 d4.dn_loss_cls: 0.0938 d4.dn_loss_bbox: 0.1910 d4.dn_loss_iou: 0.2449 d1.loss_lmm_region: 0.1081 loss_lmm_image: 0.7532 2024/11/03 20:31:24 - mmengine - INFO - Iter(train) [111300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:39:46 time: 0.9756 data_time: 0.0185 memory: 20832 grad_norm: 22.0790 loss: 8.2113 loss_cls: 0.2341 loss_bbox: 0.1218 loss_iou: 0.2320 d0.loss_cls: 0.2660 d0.loss_bbox: 0.1386 d0.loss_iou: 0.2532 d1.loss_cls: 0.2463 d1.loss_bbox: 0.1271 d1.loss_iou: 0.2379 d2.loss_cls: 0.2376 d2.loss_bbox: 0.1253 d2.loss_iou: 0.2338 d3.loss_cls: 0.2397 d3.loss_bbox: 0.1222 d3.loss_iou: 0.2336 d4.loss_cls: 0.2370 d4.loss_bbox: 0.1210 d4.loss_iou: 0.2309 enc_loss_cls: 0.2890 enc_loss_bbox: 0.1461 enc_loss_iou: 0.2708 dn_loss_cls: 0.0671 dn_loss_bbox: 0.1408 dn_loss_iou: 0.2034 d0.dn_loss_cls: 0.1433 d0.dn_loss_bbox: 0.2897 d0.dn_loss_iou: 0.3513 d1.dn_loss_cls: 0.0908 d1.dn_loss_bbox: 0.1751 d1.dn_loss_iou: 0.2367 d2.dn_loss_cls: 0.0769 d2.dn_loss_bbox: 0.1487 d2.dn_loss_iou: 0.2115 d3.dn_loss_cls: 0.0704 d3.dn_loss_bbox: 0.1420 d3.dn_loss_iou: 0.2050 d4.dn_loss_cls: 0.0683 d4.dn_loss_bbox: 0.1408 d4.dn_loss_iou: 0.2034 d1.loss_lmm_region: 0.1261 loss_lmm_image: 0.7758 2024/11/03 20:33:02 - mmengine - INFO - Iter(train) [111400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:38:06 time: 0.9777 data_time: 0.0184 memory: 21232 grad_norm: 34.5901 loss: 9.1170 loss_cls: 0.3122 loss_bbox: 0.1278 loss_iou: 0.2748 d0.loss_cls: 0.3452 d0.loss_bbox: 0.1405 d0.loss_iou: 0.2959 d1.loss_cls: 0.3330 d1.loss_bbox: 0.1324 d1.loss_iou: 0.2833 d2.loss_cls: 0.3214 d2.loss_bbox: 0.1284 d2.loss_iou: 0.2765 d3.loss_cls: 0.3167 d3.loss_bbox: 0.1290 d3.loss_iou: 0.2756 d4.loss_cls: 0.3123 d4.loss_bbox: 0.1282 d4.loss_iou: 0.2759 enc_loss_cls: 0.3639 enc_loss_bbox: 0.1604 enc_loss_iou: 0.3251 dn_loss_cls: 0.0808 dn_loss_bbox: 0.1344 dn_loss_iou: 0.1934 d0.dn_loss_cls: 0.1529 d0.dn_loss_bbox: 0.2658 d0.dn_loss_iou: 0.3399 d1.dn_loss_cls: 0.1038 d1.dn_loss_bbox: 0.1594 d1.dn_loss_iou: 0.2259 d2.dn_loss_cls: 0.0897 d2.dn_loss_bbox: 0.1400 d2.dn_loss_iou: 0.2010 d3.dn_loss_cls: 0.0838 d3.dn_loss_bbox: 0.1355 d3.dn_loss_iou: 0.1944 d4.dn_loss_cls: 0.0805 d4.dn_loss_bbox: 0.1343 d4.dn_loss_iou: 0.1934 d1.loss_lmm_region: 0.1327 loss_lmm_image: 0.8169 2024/11/03 20:34:41 - mmengine - INFO - Iter(train) [111500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:36:27 time: 0.9912 data_time: 0.0186 memory: 21700 grad_norm: 27.2771 loss: 9.1475 loss_cls: 0.2678 loss_bbox: 0.1494 loss_iou: 0.2598 d0.loss_cls: 0.2979 d0.loss_bbox: 0.1636 d0.loss_iou: 0.2776 d1.loss_cls: 0.2799 d1.loss_bbox: 0.1552 d1.loss_iou: 0.2655 d2.loss_cls: 0.2746 d2.loss_bbox: 0.1500 d2.loss_iou: 0.2600 d3.loss_cls: 0.2714 d3.loss_bbox: 0.1518 d3.loss_iou: 0.2613 d4.loss_cls: 0.2681 d4.loss_bbox: 0.1487 d4.loss_iou: 0.2592 enc_loss_cls: 0.3230 enc_loss_bbox: 0.1690 enc_loss_iou: 0.2948 dn_loss_cls: 0.0774 dn_loss_bbox: 0.1647 dn_loss_iou: 0.2269 d0.dn_loss_cls: 0.1599 d0.dn_loss_bbox: 0.3146 d0.dn_loss_iou: 0.3755 d1.dn_loss_cls: 0.1075 d1.dn_loss_bbox: 0.1998 d1.dn_loss_iou: 0.2613 d2.dn_loss_cls: 0.0906 d2.dn_loss_bbox: 0.1744 d2.dn_loss_iou: 0.2369 d3.dn_loss_cls: 0.0817 d3.dn_loss_bbox: 0.1672 d3.dn_loss_iou: 0.2287 d4.dn_loss_cls: 0.0779 d4.dn_loss_bbox: 0.1648 d4.dn_loss_iou: 0.2270 d1.loss_lmm_region: 0.1205 loss_lmm_image: 0.7415 2024/11/03 20:36:19 - mmengine - INFO - Iter(train) [111600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:34:47 time: 0.9698 data_time: 0.0184 memory: 20914 grad_norm: 22.3585 loss: 9.3080 loss_cls: 0.3043 loss_bbox: 0.1312 loss_iou: 0.2551 d0.loss_cls: 0.3282 d0.loss_bbox: 0.1463 d0.loss_iou: 0.2755 d1.loss_cls: 0.3088 d1.loss_bbox: 0.1380 d1.loss_iou: 0.2644 d2.loss_cls: 0.3036 d2.loss_bbox: 0.1346 d2.loss_iou: 0.2589 d3.loss_cls: 0.3098 d3.loss_bbox: 0.1321 d3.loss_iou: 0.2522 d4.loss_cls: 0.3041 d4.loss_bbox: 0.1323 d4.loss_iou: 0.2545 enc_loss_cls: 0.3447 enc_loss_bbox: 0.1660 enc_loss_iou: 0.3007 dn_loss_cls: 0.1091 dn_loss_bbox: 0.1437 dn_loss_iou: 0.2123 d0.dn_loss_cls: 0.1905 d0.dn_loss_bbox: 0.2958 d0.dn_loss_iou: 0.3576 d1.dn_loss_cls: 0.1411 d1.dn_loss_bbox: 0.1759 d1.dn_loss_iou: 0.2414 d2.dn_loss_cls: 0.1240 d2.dn_loss_bbox: 0.1503 d2.dn_loss_iou: 0.2197 d3.dn_loss_cls: 0.1145 d3.dn_loss_bbox: 0.1447 d3.dn_loss_iou: 0.2136 d4.dn_loss_cls: 0.1090 d4.dn_loss_bbox: 0.1436 d4.dn_loss_iou: 0.2120 d1.loss_lmm_region: 0.1395 loss_lmm_image: 0.8241 2024/11/03 20:37:57 - mmengine - INFO - Iter(train) [111700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:33:08 time: 0.9762 data_time: 0.0188 memory: 20848 grad_norm: 19.9380 loss: 8.4464 loss_cls: 0.2678 loss_bbox: 0.1250 loss_iou: 0.2272 d0.loss_cls: 0.3046 d0.loss_bbox: 0.1344 d0.loss_iou: 0.2388 d1.loss_cls: 0.2848 d1.loss_bbox: 0.1265 d1.loss_iou: 0.2285 d2.loss_cls: 0.2779 d2.loss_bbox: 0.1228 d2.loss_iou: 0.2271 d3.loss_cls: 0.2732 d3.loss_bbox: 0.1209 d3.loss_iou: 0.2236 d4.loss_cls: 0.2715 d4.loss_bbox: 0.1218 d4.loss_iou: 0.2236 enc_loss_cls: 0.3210 enc_loss_bbox: 0.1502 enc_loss_iou: 0.2643 dn_loss_cls: 0.0693 dn_loss_bbox: 0.1517 dn_loss_iou: 0.1840 d0.dn_loss_cls: 0.1538 d0.dn_loss_bbox: 0.3075 d0.dn_loss_iou: 0.3250 d1.dn_loss_cls: 0.1014 d1.dn_loss_bbox: 0.1823 d1.dn_loss_iou: 0.2135 d2.dn_loss_cls: 0.0850 d2.dn_loss_bbox: 0.1592 d2.dn_loss_iou: 0.1915 d3.dn_loss_cls: 0.0744 d3.dn_loss_bbox: 0.1533 d3.dn_loss_iou: 0.1856 d4.dn_loss_cls: 0.0698 d4.dn_loss_bbox: 0.1520 d4.dn_loss_iou: 0.1841 d1.loss_lmm_region: 0.1173 loss_lmm_image: 0.8498 2024/11/03 20:39:34 - mmengine - INFO - Iter(train) [111800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:31:28 time: 0.9823 data_time: 0.0185 memory: 21336 grad_norm: 22.6495 loss: 9.1139 loss_cls: 0.2776 loss_bbox: 0.1363 loss_iou: 0.2637 d0.loss_cls: 0.3122 d0.loss_bbox: 0.1495 d0.loss_iou: 0.2770 d1.loss_cls: 0.2992 d1.loss_bbox: 0.1413 d1.loss_iou: 0.2679 d2.loss_cls: 0.2906 d2.loss_bbox: 0.1367 d2.loss_iou: 0.2651 d3.loss_cls: 0.2857 d3.loss_bbox: 0.1329 d3.loss_iou: 0.2608 d4.loss_cls: 0.2779 d4.loss_bbox: 0.1366 d4.loss_iou: 0.2642 enc_loss_cls: 0.3208 enc_loss_bbox: 0.1584 enc_loss_iou: 0.2952 dn_loss_cls: 0.0764 dn_loss_bbox: 0.1571 dn_loss_iou: 0.2201 d0.dn_loss_cls: 0.1606 d0.dn_loss_bbox: 0.3135 d0.dn_loss_iou: 0.3735 d1.dn_loss_cls: 0.1047 d1.dn_loss_bbox: 0.1875 d1.dn_loss_iou: 0.2506 d2.dn_loss_cls: 0.0917 d2.dn_loss_bbox: 0.1665 d2.dn_loss_iou: 0.2283 d3.dn_loss_cls: 0.0803 d3.dn_loss_bbox: 0.1577 d3.dn_loss_iou: 0.2214 d4.dn_loss_cls: 0.0763 d4.dn_loss_bbox: 0.1572 d4.dn_loss_iou: 0.2202 d1.loss_lmm_region: 0.1136 loss_lmm_image: 0.8073 2024/11/03 20:41:12 - mmengine - INFO - Iter(train) [111900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:29:48 time: 0.9776 data_time: 0.0185 memory: 20189 grad_norm: 23.9395 loss: 9.3819 loss_cls: 0.2897 loss_bbox: 0.1360 loss_iou: 0.2681 d0.loss_cls: 0.3088 d0.loss_bbox: 0.1533 d0.loss_iou: 0.2864 d1.loss_cls: 0.2967 d1.loss_bbox: 0.1452 d1.loss_iou: 0.2770 d2.loss_cls: 0.2933 d2.loss_bbox: 0.1347 d2.loss_iou: 0.2715 d3.loss_cls: 0.2895 d3.loss_bbox: 0.1372 d3.loss_iou: 0.2731 d4.loss_cls: 0.2891 d4.loss_bbox: 0.1353 d4.loss_iou: 0.2696 enc_loss_cls: 0.3287 enc_loss_bbox: 0.1657 enc_loss_iou: 0.3001 dn_loss_cls: 0.0841 dn_loss_bbox: 0.1684 dn_loss_iou: 0.2269 d0.dn_loss_cls: 0.1811 d0.dn_loss_bbox: 0.3168 d0.dn_loss_iou: 0.3722 d1.dn_loss_cls: 0.1209 d1.dn_loss_bbox: 0.2007 d1.dn_loss_iou: 0.2594 d2.dn_loss_cls: 0.1008 d2.dn_loss_bbox: 0.1766 d2.dn_loss_iou: 0.2363 d3.dn_loss_cls: 0.0904 d3.dn_loss_bbox: 0.1699 d3.dn_loss_iou: 0.2283 d4.dn_loss_cls: 0.0851 d4.dn_loss_bbox: 0.1685 d4.dn_loss_iou: 0.2269 d1.loss_lmm_region: 0.1306 loss_lmm_image: 0.7889 2024/11/03 20:42:49 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 20:42:49 - mmengine - INFO - Iter(train) [112000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:28:09 time: 0.9789 data_time: 0.0187 memory: 20750 grad_norm: 21.6911 loss: 9.9664 loss_cls: 0.3081 loss_bbox: 0.1499 loss_iou: 0.2816 d0.loss_cls: 0.3489 d0.loss_bbox: 0.1748 d0.loss_iou: 0.3110 d1.loss_cls: 0.3295 d1.loss_bbox: 0.1559 d1.loss_iou: 0.2885 d2.loss_cls: 0.3221 d2.loss_bbox: 0.1501 d2.loss_iou: 0.2821 d3.loss_cls: 0.3181 d3.loss_bbox: 0.1501 d3.loss_iou: 0.2807 d4.loss_cls: 0.3116 d4.loss_bbox: 0.1491 d4.loss_iou: 0.2812 enc_loss_cls: 0.3718 enc_loss_bbox: 0.1829 enc_loss_iou: 0.3236 dn_loss_cls: 0.0858 dn_loss_bbox: 0.1742 dn_loss_iou: 0.2339 d0.dn_loss_cls: 0.1781 d0.dn_loss_bbox: 0.3353 d0.dn_loss_iou: 0.3857 d1.dn_loss_cls: 0.1196 d1.dn_loss_bbox: 0.2174 d1.dn_loss_iou: 0.2708 d2.dn_loss_cls: 0.1022 d2.dn_loss_bbox: 0.1872 d2.dn_loss_iou: 0.2444 d3.dn_loss_cls: 0.0931 d3.dn_loss_bbox: 0.1759 d3.dn_loss_iou: 0.2356 d4.dn_loss_cls: 0.0869 d4.dn_loss_bbox: 0.1742 d4.dn_loss_iou: 0.2339 d1.loss_lmm_region: 0.1537 loss_lmm_image: 0.8069 2024/11/03 20:44:28 - mmengine - INFO - Iter(train) [112100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:26:29 time: 0.9846 data_time: 0.0186 memory: 21886 grad_norm: 22.3145 loss: 8.6886 loss_cls: 0.2629 loss_bbox: 0.1130 loss_iou: 0.2196 d0.loss_cls: 0.2876 d0.loss_bbox: 0.1262 d0.loss_iou: 0.2365 d1.loss_cls: 0.2717 d1.loss_bbox: 0.1194 d1.loss_iou: 0.2248 d2.loss_cls: 0.2687 d2.loss_bbox: 0.1140 d2.loss_iou: 0.2199 d3.loss_cls: 0.2667 d3.loss_bbox: 0.1126 d3.loss_iou: 0.2191 d4.loss_cls: 0.2635 d4.loss_bbox: 0.1130 d4.loss_iou: 0.2196 enc_loss_cls: 0.3065 enc_loss_bbox: 0.1367 enc_loss_iou: 0.2527 dn_loss_cls: 0.0922 dn_loss_bbox: 0.1677 dn_loss_iou: 0.2127 d0.dn_loss_cls: 0.1629 d0.dn_loss_bbox: 0.3431 d0.dn_loss_iou: 0.3690 d1.dn_loss_cls: 0.1161 d1.dn_loss_bbox: 0.2074 d1.dn_loss_iou: 0.2479 d2.dn_loss_cls: 0.0997 d2.dn_loss_bbox: 0.1779 d2.dn_loss_iou: 0.2220 d3.dn_loss_cls: 0.0951 d3.dn_loss_bbox: 0.1689 d3.dn_loss_iou: 0.2144 d4.dn_loss_cls: 0.0928 d4.dn_loss_bbox: 0.1677 d4.dn_loss_iou: 0.2129 d1.loss_lmm_region: 0.1174 loss_lmm_image: 0.8460 2024/11/03 20:46:07 - mmengine - INFO - Iter(train) [112200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:24:50 time: 0.9852 data_time: 0.0184 memory: 20336 grad_norm: 23.0105 loss: 9.4496 loss_cls: 0.2892 loss_bbox: 0.1493 loss_iou: 0.2728 d0.loss_cls: 0.3251 d0.loss_bbox: 0.1667 d0.loss_iou: 0.2924 d1.loss_cls: 0.3102 d1.loss_bbox: 0.1512 d1.loss_iou: 0.2761 d2.loss_cls: 0.3007 d2.loss_bbox: 0.1477 d2.loss_iou: 0.2727 d3.loss_cls: 0.2984 d3.loss_bbox: 0.1487 d3.loss_iou: 0.2713 d4.loss_cls: 0.2910 d4.loss_bbox: 0.1496 d4.loss_iou: 0.2735 enc_loss_cls: 0.3455 enc_loss_bbox: 0.1816 enc_loss_iou: 0.3120 dn_loss_cls: 0.0651 dn_loss_bbox: 0.1707 dn_loss_iou: 0.2269 d0.dn_loss_cls: 0.1537 d0.dn_loss_bbox: 0.3107 d0.dn_loss_iou: 0.3712 d1.dn_loss_cls: 0.0919 d1.dn_loss_bbox: 0.2017 d1.dn_loss_iou: 0.2598 d2.dn_loss_cls: 0.0756 d2.dn_loss_bbox: 0.1786 d2.dn_loss_iou: 0.2352 d3.dn_loss_cls: 0.0694 d3.dn_loss_bbox: 0.1721 d3.dn_loss_iou: 0.2284 d4.dn_loss_cls: 0.0668 d4.dn_loss_bbox: 0.1708 d4.dn_loss_iou: 0.2269 d1.loss_lmm_region: 0.1354 loss_lmm_image: 0.8128 2024/11/03 20:47:45 - mmengine - INFO - Iter(train) [112300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:23:10 time: 0.9790 data_time: 0.0186 memory: 21654 grad_norm: 26.1345 loss: 9.3124 loss_cls: 0.2837 loss_bbox: 0.1398 loss_iou: 0.2700 d0.loss_cls: 0.3182 d0.loss_bbox: 0.1572 d0.loss_iou: 0.2918 d1.loss_cls: 0.3071 d1.loss_bbox: 0.1414 d1.loss_iou: 0.2723 d2.loss_cls: 0.2988 d2.loss_bbox: 0.1377 d2.loss_iou: 0.2689 d3.loss_cls: 0.2904 d3.loss_bbox: 0.1386 d3.loss_iou: 0.2672 d4.loss_cls: 0.2869 d4.loss_bbox: 0.1386 d4.loss_iou: 0.2691 enc_loss_cls: 0.3334 enc_loss_bbox: 0.1780 enc_loss_iou: 0.3148 dn_loss_cls: 0.0698 dn_loss_bbox: 0.1619 dn_loss_iou: 0.2166 d0.dn_loss_cls: 0.1536 d0.dn_loss_bbox: 0.3210 d0.dn_loss_iou: 0.3618 d1.dn_loss_cls: 0.0998 d1.dn_loss_bbox: 0.2024 d1.dn_loss_iou: 0.2510 d2.dn_loss_cls: 0.0859 d2.dn_loss_bbox: 0.1726 d2.dn_loss_iou: 0.2253 d3.dn_loss_cls: 0.0747 d3.dn_loss_bbox: 0.1644 d3.dn_loss_iou: 0.2182 d4.dn_loss_cls: 0.0707 d4.dn_loss_bbox: 0.1617 d4.dn_loss_iou: 0.2165 d1.loss_lmm_region: 0.1358 loss_lmm_image: 0.8447 2024/11/03 20:49:23 - mmengine - INFO - Iter(train) [112400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:21:31 time: 0.9790 data_time: 0.0185 memory: 20944 grad_norm: 23.0550 loss: 9.8974 loss_cls: 0.3463 loss_bbox: 0.1434 loss_iou: 0.2555 d0.loss_cls: 0.3868 d0.loss_bbox: 0.1632 d0.loss_iou: 0.2753 d1.loss_cls: 0.3630 d1.loss_bbox: 0.1523 d1.loss_iou: 0.2635 d2.loss_cls: 0.3591 d2.loss_bbox: 0.1455 d2.loss_iou: 0.2588 d3.loss_cls: 0.3592 d3.loss_bbox: 0.1448 d3.loss_iou: 0.2558 d4.loss_cls: 0.3467 d4.loss_bbox: 0.1441 d4.loss_iou: 0.2555 enc_loss_cls: 0.3984 enc_loss_bbox: 0.1725 enc_loss_iou: 0.2909 dn_loss_cls: 0.0919 dn_loss_bbox: 0.1853 dn_loss_iou: 0.2147 d0.dn_loss_cls: 0.1802 d0.dn_loss_bbox: 0.3364 d0.dn_loss_iou: 0.3534 d1.dn_loss_cls: 0.1268 d1.dn_loss_bbox: 0.2163 d1.dn_loss_iou: 0.2453 d2.dn_loss_cls: 0.1068 d2.dn_loss_bbox: 0.1907 d2.dn_loss_iou: 0.2213 d3.dn_loss_cls: 0.0991 d3.dn_loss_bbox: 0.1860 d3.dn_loss_iou: 0.2154 d4.dn_loss_cls: 0.0926 d4.dn_loss_bbox: 0.1854 d4.dn_loss_iou: 0.2148 d1.loss_lmm_region: 0.1562 loss_lmm_image: 0.7983 2024/11/03 20:51:00 - mmengine - INFO - Iter(train) [112500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:19:51 time: 0.9735 data_time: 0.0185 memory: 20772 grad_norm: nan loss: 10.3102 loss_cls: 0.3325 loss_bbox: 0.1749 loss_iou: 0.2996 d0.loss_cls: 0.3566 d0.loss_bbox: 0.1923 d0.loss_iou: 0.3138 d1.loss_cls: 0.3390 d1.loss_bbox: 0.1787 d1.loss_iou: 0.3046 d2.loss_cls: 0.3332 d2.loss_bbox: 0.1721 d2.loss_iou: 0.3010 d3.loss_cls: 0.3307 d3.loss_bbox: 0.1708 d3.loss_iou: 0.2989 d4.loss_cls: 0.3337 d4.loss_bbox: 0.1720 d4.loss_iou: 0.2989 enc_loss_cls: 0.3812 enc_loss_bbox: 0.1988 enc_loss_iou: 0.3327 dn_loss_cls: 0.0939 dn_loss_bbox: 0.1705 dn_loss_iou: 0.2394 d0.dn_loss_cls: 0.1823 d0.dn_loss_bbox: 0.3189 d0.dn_loss_iou: 0.3890 d1.dn_loss_cls: 0.1263 d1.dn_loss_bbox: 0.2032 d1.dn_loss_iou: 0.2734 d2.dn_loss_cls: 0.1065 d2.dn_loss_bbox: 0.1792 d2.dn_loss_iou: 0.2477 d3.dn_loss_cls: 0.1003 d3.dn_loss_bbox: 0.1713 d3.dn_loss_iou: 0.2409 d4.dn_loss_cls: 0.0946 d4.dn_loss_bbox: 0.1706 d4.dn_loss_iou: 0.2393 d1.loss_lmm_region: 0.1431 loss_lmm_image: 0.8039 2024/11/03 20:52:38 - mmengine - INFO - Iter(train) [112600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:18:11 time: 0.9853 data_time: 0.0185 memory: 20957 grad_norm: 20.1629 loss: 9.0531 loss_cls: 0.2697 loss_bbox: 0.1362 loss_iou: 0.2434 d0.loss_cls: 0.2973 d0.loss_bbox: 0.1476 d0.loss_iou: 0.2579 d1.loss_cls: 0.2788 d1.loss_bbox: 0.1450 d1.loss_iou: 0.2535 d2.loss_cls: 0.2777 d2.loss_bbox: 0.1363 d2.loss_iou: 0.2423 d3.loss_cls: 0.2723 d3.loss_bbox: 0.1356 d3.loss_iou: 0.2446 d4.loss_cls: 0.2692 d4.loss_bbox: 0.1365 d4.loss_iou: 0.2437 enc_loss_cls: 0.3132 enc_loss_bbox: 0.1572 enc_loss_iou: 0.2737 dn_loss_cls: 0.0841 dn_loss_bbox: 0.1835 dn_loss_iou: 0.2190 d0.dn_loss_cls: 0.1650 d0.dn_loss_bbox: 0.3243 d0.dn_loss_iou: 0.3621 d1.dn_loss_cls: 0.1141 d1.dn_loss_bbox: 0.2163 d1.dn_loss_iou: 0.2518 d2.dn_loss_cls: 0.0942 d2.dn_loss_bbox: 0.1927 d2.dn_loss_iou: 0.2281 d3.dn_loss_cls: 0.0864 d3.dn_loss_bbox: 0.1847 d3.dn_loss_iou: 0.2203 d4.dn_loss_cls: 0.0837 d4.dn_loss_bbox: 0.1834 d4.dn_loss_iou: 0.2190 d1.loss_lmm_region: 0.1396 loss_lmm_image: 0.7691 2024/11/03 20:54:16 - mmengine - INFO - Iter(train) [112700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:16:32 time: 0.9855 data_time: 0.0185 memory: 20765 grad_norm: 23.0449 loss: 10.6047 loss_cls: 0.3307 loss_bbox: 0.1883 loss_iou: 0.3096 d0.loss_cls: 0.3704 d0.loss_bbox: 0.1981 d0.loss_iou: 0.3229 d1.loss_cls: 0.3506 d1.loss_bbox: 0.1850 d1.loss_iou: 0.3084 d2.loss_cls: 0.3390 d2.loss_bbox: 0.1851 d2.loss_iou: 0.3107 d3.loss_cls: 0.3379 d3.loss_bbox: 0.1868 d3.loss_iou: 0.3094 d4.loss_cls: 0.3304 d4.loss_bbox: 0.1889 d4.loss_iou: 0.3119 enc_loss_cls: 0.3835 enc_loss_bbox: 0.2136 enc_loss_iou: 0.3458 dn_loss_cls: 0.0862 dn_loss_bbox: 0.2057 dn_loss_iou: 0.2434 d0.dn_loss_cls: 0.1749 d0.dn_loss_bbox: 0.3720 d0.dn_loss_iou: 0.3914 d1.dn_loss_cls: 0.1216 d1.dn_loss_bbox: 0.2427 d1.dn_loss_iou: 0.2766 d2.dn_loss_cls: 0.1033 d2.dn_loss_bbox: 0.2125 d2.dn_loss_iou: 0.2513 d3.dn_loss_cls: 0.0918 d3.dn_loss_bbox: 0.2071 d3.dn_loss_iou: 0.2446 d4.dn_loss_cls: 0.0879 d4.dn_loss_bbox: 0.2057 d4.dn_loss_iou: 0.2431 d1.loss_lmm_region: 0.1225 loss_lmm_image: 0.7134 2024/11/03 20:55:54 - mmengine - INFO - Iter(train) [112800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:14:52 time: 0.9618 data_time: 0.0186 memory: 20881 grad_norm: 22.3857 loss: 9.9579 loss_cls: 0.3035 loss_bbox: 0.1651 loss_iou: 0.2596 d0.loss_cls: 0.3281 d0.loss_bbox: 0.1870 d0.loss_iou: 0.2770 d1.loss_cls: 0.3253 d1.loss_bbox: 0.1678 d1.loss_iou: 0.2648 d2.loss_cls: 0.3116 d2.loss_bbox: 0.1685 d2.loss_iou: 0.2630 d3.loss_cls: 0.3099 d3.loss_bbox: 0.1625 d3.loss_iou: 0.2589 d4.loss_cls: 0.3036 d4.loss_bbox: 0.1651 d4.loss_iou: 0.2599 enc_loss_cls: 0.3475 enc_loss_bbox: 0.2018 enc_loss_iou: 0.3017 dn_loss_cls: 0.0963 dn_loss_bbox: 0.1843 dn_loss_iou: 0.2288 d0.dn_loss_cls: 0.1993 d0.dn_loss_bbox: 0.3554 d0.dn_loss_iou: 0.3872 d1.dn_loss_cls: 0.1361 d1.dn_loss_bbox: 0.2164 d1.dn_loss_iou: 0.2622 d2.dn_loss_cls: 0.1169 d2.dn_loss_bbox: 0.1918 d2.dn_loss_iou: 0.2367 d3.dn_loss_cls: 0.1056 d3.dn_loss_bbox: 0.1855 d3.dn_loss_iou: 0.2302 d4.dn_loss_cls: 0.0974 d4.dn_loss_bbox: 0.1844 d4.dn_loss_iou: 0.2289 d1.loss_lmm_region: 0.1554 loss_lmm_image: 0.8267 2024/11/03 20:57:32 - mmengine - INFO - Iter(train) [112900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:13:13 time: 0.9694 data_time: 0.0185 memory: 20385 grad_norm: 23.2540 loss: 8.7266 loss_cls: 0.2997 loss_bbox: 0.1136 loss_iou: 0.2571 d0.loss_cls: 0.3288 d0.loss_bbox: 0.1311 d0.loss_iou: 0.2723 d1.loss_cls: 0.3130 d1.loss_bbox: 0.1221 d1.loss_iou: 0.2626 d2.loss_cls: 0.3124 d2.loss_bbox: 0.1149 d2.loss_iou: 0.2565 d3.loss_cls: 0.3036 d3.loss_bbox: 0.1146 d3.loss_iou: 0.2583 d4.loss_cls: 0.3022 d4.loss_bbox: 0.1138 d4.loss_iou: 0.2561 enc_loss_cls: 0.3406 enc_loss_bbox: 0.1473 enc_loss_iou: 0.3004 dn_loss_cls: 0.0775 dn_loss_bbox: 0.1328 dn_loss_iou: 0.1998 d0.dn_loss_cls: 0.1500 d0.dn_loss_bbox: 0.2624 d0.dn_loss_iou: 0.3383 d1.dn_loss_cls: 0.1030 d1.dn_loss_bbox: 0.1661 d1.dn_loss_iou: 0.2322 d2.dn_loss_cls: 0.0914 d2.dn_loss_bbox: 0.1408 d2.dn_loss_iou: 0.2078 d3.dn_loss_cls: 0.0840 d3.dn_loss_bbox: 0.1343 d3.dn_loss_iou: 0.2012 d4.dn_loss_cls: 0.0787 d4.dn_loss_bbox: 0.1329 d4.dn_loss_iou: 0.1997 d1.loss_lmm_region: 0.0969 loss_lmm_image: 0.7759 2024/11/03 20:59:10 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 20:59:10 - mmengine - INFO - Iter(train) [113000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:11:33 time: 0.9777 data_time: 0.0189 memory: 20274 grad_norm: 22.6297 loss: 9.4919 loss_cls: 0.2833 loss_bbox: 0.1499 loss_iou: 0.2680 d0.loss_cls: 0.3197 d0.loss_bbox: 0.1602 d0.loss_iou: 0.2864 d1.loss_cls: 0.3045 d1.loss_bbox: 0.1527 d1.loss_iou: 0.2730 d2.loss_cls: 0.2912 d2.loss_bbox: 0.1509 d2.loss_iou: 0.2717 d3.loss_cls: 0.2875 d3.loss_bbox: 0.1482 d3.loss_iou: 0.2680 d4.loss_cls: 0.2826 d4.loss_bbox: 0.1503 d4.loss_iou: 0.2690 enc_loss_cls: 0.3422 enc_loss_bbox: 0.1733 enc_loss_iou: 0.3068 dn_loss_cls: 0.0725 dn_loss_bbox: 0.1761 dn_loss_iou: 0.2300 d0.dn_loss_cls: 0.1622 d0.dn_loss_bbox: 0.3328 d0.dn_loss_iou: 0.3834 d1.dn_loss_cls: 0.1011 d1.dn_loss_bbox: 0.2136 d1.dn_loss_iou: 0.2664 d2.dn_loss_cls: 0.0845 d2.dn_loss_bbox: 0.1878 d2.dn_loss_iou: 0.2409 d3.dn_loss_cls: 0.0773 d3.dn_loss_bbox: 0.1780 d3.dn_loss_iou: 0.2319 d4.dn_loss_cls: 0.0727 d4.dn_loss_bbox: 0.1760 d4.dn_loss_iou: 0.2300 d1.loss_lmm_region: 0.1281 loss_lmm_image: 0.8071 2024/11/03 21:00:48 - mmengine - INFO - Iter(train) [113100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:09:53 time: 0.9734 data_time: 0.0185 memory: 20392 grad_norm: 21.2833 loss: 10.5264 loss_cls: 0.3351 loss_bbox: 0.1645 loss_iou: 0.2777 d0.loss_cls: 0.3613 d0.loss_bbox: 0.1818 d0.loss_iou: 0.2975 d1.loss_cls: 0.3489 d1.loss_bbox: 0.1723 d1.loss_iou: 0.2843 d2.loss_cls: 0.3439 d2.loss_bbox: 0.1642 d2.loss_iou: 0.2791 d3.loss_cls: 0.3365 d3.loss_bbox: 0.1627 d3.loss_iou: 0.2783 d4.loss_cls: 0.3336 d4.loss_bbox: 0.1637 d4.loss_iou: 0.2773 enc_loss_cls: 0.3868 enc_loss_bbox: 0.1974 enc_loss_iou: 0.3205 dn_loss_cls: 0.1159 dn_loss_bbox: 0.1952 dn_loss_iou: 0.2455 d0.dn_loss_cls: 0.2049 d0.dn_loss_bbox: 0.3653 d0.dn_loss_iou: 0.4119 d1.dn_loss_cls: 0.1493 d1.dn_loss_bbox: 0.2331 d1.dn_loss_iou: 0.2829 d2.dn_loss_cls: 0.1366 d2.dn_loss_bbox: 0.2054 d2.dn_loss_iou: 0.2551 d3.dn_loss_cls: 0.1265 d3.dn_loss_bbox: 0.1976 d3.dn_loss_iou: 0.2470 d4.dn_loss_cls: 0.1171 d4.dn_loss_bbox: 0.1952 d4.dn_loss_iou: 0.2455 d1.loss_lmm_region: 0.1338 loss_lmm_image: 0.7951 2024/11/03 21:02:25 - mmengine - INFO - Iter(train) [113200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:08:14 time: 0.9682 data_time: 0.0184 memory: 20289 grad_norm: 22.0705 loss: 9.2244 loss_cls: 0.2710 loss_bbox: 0.1511 loss_iou: 0.2735 d0.loss_cls: 0.2942 d0.loss_bbox: 0.1667 d0.loss_iou: 0.3005 d1.loss_cls: 0.2847 d1.loss_bbox: 0.1551 d1.loss_iou: 0.2829 d2.loss_cls: 0.2771 d2.loss_bbox: 0.1519 d2.loss_iou: 0.2770 d3.loss_cls: 0.2737 d3.loss_bbox: 0.1495 d3.loss_iou: 0.2738 d4.loss_cls: 0.2737 d4.loss_bbox: 0.1498 d4.loss_iou: 0.2717 enc_loss_cls: 0.3101 enc_loss_bbox: 0.1761 enc_loss_iou: 0.3136 dn_loss_cls: 0.0786 dn_loss_bbox: 0.1567 dn_loss_iou: 0.2246 d0.dn_loss_cls: 0.1585 d0.dn_loss_bbox: 0.2935 d0.dn_loss_iou: 0.3670 d1.dn_loss_cls: 0.1101 d1.dn_loss_bbox: 0.1928 d1.dn_loss_iou: 0.2572 d2.dn_loss_cls: 0.0945 d2.dn_loss_bbox: 0.1664 d2.dn_loss_iou: 0.2338 d3.dn_loss_cls: 0.0840 d3.dn_loss_bbox: 0.1580 d3.dn_loss_iou: 0.2262 d4.dn_loss_cls: 0.0799 d4.dn_loss_bbox: 0.1568 d4.dn_loss_iou: 0.2246 d1.loss_lmm_region: 0.1193 loss_lmm_image: 0.7641 2024/11/03 21:04:02 - mmengine - INFO - Iter(train) [113300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:06:34 time: 0.9765 data_time: 0.0184 memory: 20935 grad_norm: 22.2935 loss: 9.4431 loss_cls: 0.2928 loss_bbox: 0.1394 loss_iou: 0.2643 d0.loss_cls: 0.3267 d0.loss_bbox: 0.1538 d0.loss_iou: 0.2839 d1.loss_cls: 0.3102 d1.loss_bbox: 0.1427 d1.loss_iou: 0.2690 d2.loss_cls: 0.3019 d2.loss_bbox: 0.1427 d2.loss_iou: 0.2663 d3.loss_cls: 0.3001 d3.loss_bbox: 0.1402 d3.loss_iou: 0.2649 d4.loss_cls: 0.2952 d4.loss_bbox: 0.1401 d4.loss_iou: 0.2635 enc_loss_cls: 0.3306 enc_loss_bbox: 0.1632 enc_loss_iou: 0.3052 dn_loss_cls: 0.0744 dn_loss_bbox: 0.1746 dn_loss_iou: 0.2300 d0.dn_loss_cls: 0.1747 d0.dn_loss_bbox: 0.3186 d0.dn_loss_iou: 0.3762 d1.dn_loss_cls: 0.1150 d1.dn_loss_bbox: 0.2029 d1.dn_loss_iou: 0.2618 d2.dn_loss_cls: 0.0940 d2.dn_loss_bbox: 0.1810 d2.dn_loss_iou: 0.2379 d3.dn_loss_cls: 0.0807 d3.dn_loss_bbox: 0.1745 d3.dn_loss_iou: 0.2311 d4.dn_loss_cls: 0.0755 d4.dn_loss_bbox: 0.1747 d4.dn_loss_iou: 0.2300 d1.loss_lmm_region: 0.1195 loss_lmm_image: 0.8191 2024/11/03 21:05:39 - mmengine - INFO - Iter(train) [113400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:04:54 time: 0.9759 data_time: 0.0184 memory: 20418 grad_norm: 19.8186 loss: 9.9688 loss_cls: 0.3056 loss_bbox: 0.1717 loss_iou: 0.2776 d0.loss_cls: 0.3421 d0.loss_bbox: 0.1793 d0.loss_iou: 0.2903 d1.loss_cls: 0.3231 d1.loss_bbox: 0.1750 d1.loss_iou: 0.2859 d2.loss_cls: 0.3197 d2.loss_bbox: 0.1692 d2.loss_iou: 0.2771 d3.loss_cls: 0.3166 d3.loss_bbox: 0.1657 d3.loss_iou: 0.2730 d4.loss_cls: 0.3061 d4.loss_bbox: 0.1729 d4.loss_iou: 0.2776 enc_loss_cls: 0.3578 enc_loss_bbox: 0.1961 enc_loss_iou: 0.3095 dn_loss_cls: 0.0833 dn_loss_bbox: 0.1869 dn_loss_iou: 0.2337 d0.dn_loss_cls: 0.1703 d0.dn_loss_bbox: 0.3334 d0.dn_loss_iou: 0.3769 d1.dn_loss_cls: 0.1136 d1.dn_loss_bbox: 0.2228 d1.dn_loss_iou: 0.2655 d2.dn_loss_cls: 0.0959 d2.dn_loss_bbox: 0.1961 d2.dn_loss_iou: 0.2420 d3.dn_loss_cls: 0.0890 d3.dn_loss_bbox: 0.1882 d3.dn_loss_iou: 0.2351 d4.dn_loss_cls: 0.0832 d4.dn_loss_bbox: 0.1868 d4.dn_loss_iou: 0.2336 d1.loss_lmm_region: 0.1405 loss_lmm_image: 0.8001 2024/11/03 21:07:17 - mmengine - INFO - Iter(train) [113500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:03:14 time: 0.9587 data_time: 0.0184 memory: 21187 grad_norm: 26.8722 loss: 9.1335 loss_cls: 0.2606 loss_bbox: 0.1450 loss_iou: 0.2372 d0.loss_cls: 0.2812 d0.loss_bbox: 0.1658 d0.loss_iou: 0.2568 d1.loss_cls: 0.2709 d1.loss_bbox: 0.1545 d1.loss_iou: 0.2452 d2.loss_cls: 0.2719 d2.loss_bbox: 0.1463 d2.loss_iou: 0.2402 d3.loss_cls: 0.2661 d3.loss_bbox: 0.1449 d3.loss_iou: 0.2375 d4.loss_cls: 0.2615 d4.loss_bbox: 0.1444 d4.loss_iou: 0.2364 enc_loss_cls: 0.3077 enc_loss_bbox: 0.1736 enc_loss_iou: 0.2744 dn_loss_cls: 0.0785 dn_loss_bbox: 0.1809 dn_loss_iou: 0.2255 d0.dn_loss_cls: 0.1558 d0.dn_loss_bbox: 0.3432 d0.dn_loss_iou: 0.3779 d1.dn_loss_cls: 0.1083 d1.dn_loss_bbox: 0.2186 d1.dn_loss_iou: 0.2612 d2.dn_loss_cls: 0.0940 d2.dn_loss_bbox: 0.1897 d2.dn_loss_iou: 0.2351 d3.dn_loss_cls: 0.0827 d3.dn_loss_bbox: 0.1825 d3.dn_loss_iou: 0.2278 d4.dn_loss_cls: 0.0781 d4.dn_loss_bbox: 0.1809 d4.dn_loss_iou: 0.2255 d1.loss_lmm_region: 0.1390 loss_lmm_image: 0.8264 2024/11/03 21:08:55 - mmengine - INFO - Iter(train) [113600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:01:35 time: 0.9810 data_time: 0.0185 memory: 20952 grad_norm: 21.4371 loss: 9.8166 loss_cls: 0.2802 loss_bbox: 0.1664 loss_iou: 0.2778 d0.loss_cls: 0.3147 d0.loss_bbox: 0.1774 d0.loss_iou: 0.2972 d1.loss_cls: 0.2927 d1.loss_bbox: 0.1727 d1.loss_iou: 0.2860 d2.loss_cls: 0.2947 d2.loss_bbox: 0.1655 d2.loss_iou: 0.2795 d3.loss_cls: 0.2862 d3.loss_bbox: 0.1687 d3.loss_iou: 0.2813 d4.loss_cls: 0.2810 d4.loss_bbox: 0.1654 d4.loss_iou: 0.2786 enc_loss_cls: 0.3280 enc_loss_bbox: 0.1917 enc_loss_iou: 0.3169 dn_loss_cls: 0.0777 dn_loss_bbox: 0.1841 dn_loss_iou: 0.2334 d0.dn_loss_cls: 0.1737 d0.dn_loss_bbox: 0.3548 d0.dn_loss_iou: 0.3946 d1.dn_loss_cls: 0.1160 d1.dn_loss_bbox: 0.2226 d1.dn_loss_iou: 0.2704 d2.dn_loss_cls: 0.0951 d2.dn_loss_bbox: 0.1949 d2.dn_loss_iou: 0.2429 d3.dn_loss_cls: 0.0844 d3.dn_loss_bbox: 0.1856 d3.dn_loss_iou: 0.2348 d4.dn_loss_cls: 0.0786 d4.dn_loss_bbox: 0.1843 d4.dn_loss_iou: 0.2335 d1.loss_lmm_region: 0.1439 loss_lmm_image: 0.8088 2024/11/03 21:10:32 - mmengine - INFO - Iter(train) [113700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:59:55 time: 0.9585 data_time: 0.0184 memory: 21076 grad_norm: 22.3771 loss: 9.9892 loss_cls: 0.3354 loss_bbox: 0.1534 loss_iou: 0.3049 d0.loss_cls: 0.3620 d0.loss_bbox: 0.1628 d0.loss_iou: 0.3247 d1.loss_cls: 0.3427 d1.loss_bbox: 0.1571 d1.loss_iou: 0.3164 d2.loss_cls: 0.3383 d2.loss_bbox: 0.1558 d2.loss_iou: 0.3141 d3.loss_cls: 0.3370 d3.loss_bbox: 0.1555 d3.loss_iou: 0.3082 d4.loss_cls: 0.3388 d4.loss_bbox: 0.1502 d4.loss_iou: 0.3045 enc_loss_cls: 0.3778 enc_loss_bbox: 0.1790 enc_loss_iou: 0.3536 dn_loss_cls: 0.0654 dn_loss_bbox: 0.1577 dn_loss_iou: 0.2380 d0.dn_loss_cls: 0.1521 d0.dn_loss_bbox: 0.2945 d0.dn_loss_iou: 0.3829 d1.dn_loss_cls: 0.0965 d1.dn_loss_bbox: 0.1865 d1.dn_loss_iou: 0.2707 d2.dn_loss_cls: 0.0795 d2.dn_loss_bbox: 0.1683 d2.dn_loss_iou: 0.2472 d3.dn_loss_cls: 0.0701 d3.dn_loss_bbox: 0.1593 d3.dn_loss_iou: 0.2393 d4.dn_loss_cls: 0.0663 d4.dn_loss_bbox: 0.1577 d4.dn_loss_iou: 0.2380 d1.loss_lmm_region: 0.1534 loss_lmm_image: 0.7936 2024/11/03 21:12:10 - mmengine - INFO - Iter(train) [113800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:58:16 time: 0.9864 data_time: 0.0185 memory: 21158 grad_norm: 21.3211 loss: 8.0629 loss_cls: 0.2172 loss_bbox: 0.1171 loss_iou: 0.1852 d0.loss_cls: 0.2422 d0.loss_bbox: 0.1326 d0.loss_iou: 0.2004 d1.loss_cls: 0.2289 d1.loss_bbox: 0.1256 d1.loss_iou: 0.1932 d2.loss_cls: 0.2231 d2.loss_bbox: 0.1235 d2.loss_iou: 0.1878 d3.loss_cls: 0.2206 d3.loss_bbox: 0.1178 d3.loss_iou: 0.1854 d4.loss_cls: 0.2178 d4.loss_bbox: 0.1173 d4.loss_iou: 0.1855 enc_loss_cls: 0.2586 enc_loss_bbox: 0.1464 enc_loss_iou: 0.2228 dn_loss_cls: 0.0766 dn_loss_bbox: 0.1803 dn_loss_iou: 0.2086 d0.dn_loss_cls: 0.1545 d0.dn_loss_bbox: 0.3392 d0.dn_loss_iou: 0.3594 d1.dn_loss_cls: 0.1003 d1.dn_loss_bbox: 0.2142 d1.dn_loss_iou: 0.2419 d2.dn_loss_cls: 0.0872 d2.dn_loss_bbox: 0.1868 d2.dn_loss_iou: 0.2159 d3.dn_loss_cls: 0.0802 d3.dn_loss_bbox: 0.1805 d3.dn_loss_iou: 0.2097 d4.dn_loss_cls: 0.0763 d4.dn_loss_bbox: 0.1802 d4.dn_loss_iou: 0.2085 d1.loss_lmm_region: 0.1254 loss_lmm_image: 0.7882 2024/11/03 21:13:47 - mmengine - INFO - Iter(train) [113900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:56:36 time: 0.9721 data_time: 0.0185 memory: 20770 grad_norm: 23.9056 loss: 9.0314 loss_cls: 0.2690 loss_bbox: 0.1414 loss_iou: 0.2510 d0.loss_cls: 0.2988 d0.loss_bbox: 0.1611 d0.loss_iou: 0.2735 d1.loss_cls: 0.2806 d1.loss_bbox: 0.1519 d1.loss_iou: 0.2669 d2.loss_cls: 0.2694 d2.loss_bbox: 0.1495 d2.loss_iou: 0.2555 d3.loss_cls: 0.2675 d3.loss_bbox: 0.1507 d3.loss_iou: 0.2523 d4.loss_cls: 0.2695 d4.loss_bbox: 0.1439 d4.loss_iou: 0.2513 enc_loss_cls: 0.3199 enc_loss_bbox: 0.1771 enc_loss_iou: 0.2925 dn_loss_cls: 0.0599 dn_loss_bbox: 0.1671 dn_loss_iou: 0.2243 d0.dn_loss_cls: 0.1536 d0.dn_loss_bbox: 0.3298 d0.dn_loss_iou: 0.3742 d1.dn_loss_cls: 0.0936 d1.dn_loss_bbox: 0.2031 d1.dn_loss_iou: 0.2568 d2.dn_loss_cls: 0.0761 d2.dn_loss_bbox: 0.1783 d2.dn_loss_iou: 0.2328 d3.dn_loss_cls: 0.0656 d3.dn_loss_bbox: 0.1688 d3.dn_loss_iou: 0.2253 d4.dn_loss_cls: 0.0608 d4.dn_loss_bbox: 0.1672 d4.dn_loss_iou: 0.2241 d1.loss_lmm_region: 0.1227 loss_lmm_image: 0.7536 2024/11/03 21:15:25 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 21:15:25 - mmengine - INFO - Iter(train) [114000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:54:56 time: 0.9879 data_time: 0.0188 memory: 21520 grad_norm: 22.8014 loss: 9.2790 loss_cls: 0.2820 loss_bbox: 0.1466 loss_iou: 0.2410 d0.loss_cls: 0.3148 d0.loss_bbox: 0.1625 d0.loss_iou: 0.2599 d1.loss_cls: 0.3004 d1.loss_bbox: 0.1542 d1.loss_iou: 0.2471 d2.loss_cls: 0.2990 d2.loss_bbox: 0.1443 d2.loss_iou: 0.2402 d3.loss_cls: 0.2932 d3.loss_bbox: 0.1446 d3.loss_iou: 0.2390 d4.loss_cls: 0.2869 d4.loss_bbox: 0.1441 d4.loss_iou: 0.2389 enc_loss_cls: 0.3364 enc_loss_bbox: 0.1743 enc_loss_iou: 0.2801 dn_loss_cls: 0.0916 dn_loss_bbox: 0.1727 dn_loss_iou: 0.2113 d0.dn_loss_cls: 0.1735 d0.dn_loss_bbox: 0.3233 d0.dn_loss_iou: 0.3554 d1.dn_loss_cls: 0.1211 d1.dn_loss_bbox: 0.2057 d1.dn_loss_iou: 0.2441 d2.dn_loss_cls: 0.1071 d2.dn_loss_bbox: 0.1796 d2.dn_loss_iou: 0.2199 d3.dn_loss_cls: 0.0989 d3.dn_loss_bbox: 0.1735 d3.dn_loss_iou: 0.2123 d4.dn_loss_cls: 0.0938 d4.dn_loss_bbox: 0.1727 d4.dn_loss_iou: 0.2112 d1.loss_lmm_region: 0.1354 loss_lmm_image: 0.8461 2024/11/03 21:17:03 - mmengine - INFO - Iter(train) [114100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:53:16 time: 0.9812 data_time: 0.0185 memory: 20385 grad_norm: 19.3636 loss: 9.3418 loss_cls: 0.2956 loss_bbox: 0.1351 loss_iou: 0.2636 d0.loss_cls: 0.3349 d0.loss_bbox: 0.1541 d0.loss_iou: 0.2873 d1.loss_cls: 0.3182 d1.loss_bbox: 0.1387 d1.loss_iou: 0.2707 d2.loss_cls: 0.3075 d2.loss_bbox: 0.1335 d2.loss_iou: 0.2649 d3.loss_cls: 0.3009 d3.loss_bbox: 0.1342 d3.loss_iou: 0.2632 d4.loss_cls: 0.2993 d4.loss_bbox: 0.1347 d4.loss_iou: 0.2635 enc_loss_cls: 0.3589 enc_loss_bbox: 0.1685 enc_loss_iou: 0.3151 dn_loss_cls: 0.0724 dn_loss_bbox: 0.1468 dn_loss_iou: 0.2257 d0.dn_loss_cls: 0.1645 d0.dn_loss_bbox: 0.3066 d0.dn_loss_iou: 0.3862 d1.dn_loss_cls: 0.1052 d1.dn_loss_bbox: 0.1843 d1.dn_loss_iou: 0.2638 d2.dn_loss_cls: 0.0872 d2.dn_loss_bbox: 0.1577 d2.dn_loss_iou: 0.2350 d3.dn_loss_cls: 0.0763 d3.dn_loss_bbox: 0.1486 d3.dn_loss_iou: 0.2280 d4.dn_loss_cls: 0.0736 d4.dn_loss_bbox: 0.1467 d4.dn_loss_iou: 0.2256 d1.loss_lmm_region: 0.1124 loss_lmm_image: 0.8528 2024/11/03 21:18:41 - mmengine - INFO - Iter(train) [114200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:51:37 time: 0.9810 data_time: 0.0185 memory: 20922 grad_norm: 20.9024 loss: 8.5634 loss_cls: 0.2743 loss_bbox: 0.1230 loss_iou: 0.2546 d0.loss_cls: 0.3054 d0.loss_bbox: 0.1396 d0.loss_iou: 0.2746 d1.loss_cls: 0.2881 d1.loss_bbox: 0.1338 d1.loss_iou: 0.2643 d2.loss_cls: 0.2837 d2.loss_bbox: 0.1288 d2.loss_iou: 0.2575 d3.loss_cls: 0.2766 d3.loss_bbox: 0.1249 d3.loss_iou: 0.2546 d4.loss_cls: 0.2748 d4.loss_bbox: 0.1230 d4.loss_iou: 0.2540 enc_loss_cls: 0.3278 enc_loss_bbox: 0.1540 enc_loss_iou: 0.2967 dn_loss_cls: 0.0596 dn_loss_bbox: 0.1298 dn_loss_iou: 0.1995 d0.dn_loss_cls: 0.1441 d0.dn_loss_bbox: 0.2705 d0.dn_loss_iou: 0.3534 d1.dn_loss_cls: 0.0902 d1.dn_loss_bbox: 0.1636 d1.dn_loss_iou: 0.2363 d2.dn_loss_cls: 0.0748 d2.dn_loss_bbox: 0.1394 d2.dn_loss_iou: 0.2093 d3.dn_loss_cls: 0.0655 d3.dn_loss_bbox: 0.1309 d3.dn_loss_iou: 0.2011 d4.dn_loss_cls: 0.0605 d4.dn_loss_bbox: 0.1297 d4.dn_loss_iou: 0.1996 d1.loss_lmm_region: 0.1104 loss_lmm_image: 0.7811 2024/11/03 21:20:19 - mmengine - INFO - Iter(train) [114300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:49:57 time: 0.9765 data_time: 0.0186 memory: 21234 grad_norm: 25.2914 loss: 10.6304 loss_cls: 0.3326 loss_bbox: 0.1746 loss_iou: 0.2775 d0.loss_cls: 0.3703 d0.loss_bbox: 0.1936 d0.loss_iou: 0.2953 d1.loss_cls: 0.3602 d1.loss_bbox: 0.1774 d1.loss_iou: 0.2802 d2.loss_cls: 0.3525 d2.loss_bbox: 0.1670 d2.loss_iou: 0.2733 d3.loss_cls: 0.3391 d3.loss_bbox: 0.1723 d3.loss_iou: 0.2771 d4.loss_cls: 0.3362 d4.loss_bbox: 0.1723 d4.loss_iou: 0.2758 enc_loss_cls: 0.4001 enc_loss_bbox: 0.1997 enc_loss_iou: 0.3110 dn_loss_cls: 0.1246 dn_loss_bbox: 0.2127 dn_loss_iou: 0.2354 d0.dn_loss_cls: 0.2073 d0.dn_loss_bbox: 0.3776 d0.dn_loss_iou: 0.3885 d1.dn_loss_cls: 0.1545 d1.dn_loss_bbox: 0.2565 d1.dn_loss_iou: 0.2717 d2.dn_loss_cls: 0.1374 d2.dn_loss_bbox: 0.2245 d2.dn_loss_iou: 0.2452 d3.dn_loss_cls: 0.1266 d3.dn_loss_bbox: 0.2145 d3.dn_loss_iou: 0.2370 d4.dn_loss_cls: 0.1260 d4.dn_loss_bbox: 0.2127 d4.dn_loss_iou: 0.2355 d1.loss_lmm_region: 0.1544 loss_lmm_image: 0.7498 2024/11/03 21:21:57 - mmengine - INFO - Iter(train) [114400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:48:18 time: 0.9708 data_time: 0.0185 memory: 20647 grad_norm: 19.9132 loss: 8.7399 loss_cls: 0.2713 loss_bbox: 0.1203 loss_iou: 0.2285 d0.loss_cls: 0.3060 d0.loss_bbox: 0.1277 d0.loss_iou: 0.2417 d1.loss_cls: 0.2888 d1.loss_bbox: 0.1216 d1.loss_iou: 0.2331 d2.loss_cls: 0.2785 d2.loss_bbox: 0.1221 d2.loss_iou: 0.2320 d3.loss_cls: 0.2748 d3.loss_bbox: 0.1209 d3.loss_iou: 0.2297 d4.loss_cls: 0.2725 d4.loss_bbox: 0.1194 d4.loss_iou: 0.2277 enc_loss_cls: 0.3208 enc_loss_bbox: 0.1415 enc_loss_iou: 0.2629 dn_loss_cls: 0.0831 dn_loss_bbox: 0.1558 dn_loss_iou: 0.2151 d0.dn_loss_cls: 0.1696 d0.dn_loss_bbox: 0.2991 d0.dn_loss_iou: 0.3652 d1.dn_loss_cls: 0.1167 d1.dn_loss_bbox: 0.1842 d1.dn_loss_iou: 0.2469 d2.dn_loss_cls: 0.1008 d2.dn_loss_bbox: 0.1636 d2.dn_loss_iou: 0.2235 d3.dn_loss_cls: 0.0901 d3.dn_loss_bbox: 0.1564 d3.dn_loss_iou: 0.2162 d4.dn_loss_cls: 0.0847 d4.dn_loss_bbox: 0.1560 d4.dn_loss_iou: 0.2151 d1.loss_lmm_region: 0.1388 loss_lmm_image: 0.8172 2024/11/03 21:23:35 - mmengine - INFO - Iter(train) [114500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:46:39 time: 0.9905 data_time: 0.0188 memory: 19747 grad_norm: 22.1141 loss: 9.7508 loss_cls: 0.2877 loss_bbox: 0.1683 loss_iou: 0.2608 d0.loss_cls: 0.3349 d0.loss_bbox: 0.1812 d0.loss_iou: 0.2737 d1.loss_cls: 0.3131 d1.loss_bbox: 0.1646 d1.loss_iou: 0.2625 d2.loss_cls: 0.2972 d2.loss_bbox: 0.1657 d2.loss_iou: 0.2620 d3.loss_cls: 0.2936 d3.loss_bbox: 0.1675 d3.loss_iou: 0.2626 d4.loss_cls: 0.2878 d4.loss_bbox: 0.1688 d4.loss_iou: 0.2621 enc_loss_cls: 0.3543 enc_loss_bbox: 0.1967 enc_loss_iou: 0.2973 dn_loss_cls: 0.0771 dn_loss_bbox: 0.1861 dn_loss_iou: 0.2282 d0.dn_loss_cls: 0.1724 d0.dn_loss_bbox: 0.3485 d0.dn_loss_iou: 0.3797 d1.dn_loss_cls: 0.1141 d1.dn_loss_bbox: 0.2227 d1.dn_loss_iou: 0.2641 d2.dn_loss_cls: 0.0948 d2.dn_loss_bbox: 0.1963 d2.dn_loss_iou: 0.2369 d3.dn_loss_cls: 0.0850 d3.dn_loss_bbox: 0.1872 d3.dn_loss_iou: 0.2295 d4.dn_loss_cls: 0.0788 d4.dn_loss_bbox: 0.1862 d4.dn_loss_iou: 0.2282 d1.loss_lmm_region: 0.1341 loss_lmm_image: 0.8386 2024/11/03 21:25:14 - mmengine - INFO - Iter(train) [114600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:44:59 time: 0.9811 data_time: 0.0185 memory: 21334 grad_norm: 21.1502 loss: 9.0259 loss_cls: 0.3009 loss_bbox: 0.1370 loss_iou: 0.2425 d0.loss_cls: 0.3336 d0.loss_bbox: 0.1506 d0.loss_iou: 0.2590 d1.loss_cls: 0.3122 d1.loss_bbox: 0.1410 d1.loss_iou: 0.2504 d2.loss_cls: 0.3061 d2.loss_bbox: 0.1370 d2.loss_iou: 0.2442 d3.loss_cls: 0.3012 d3.loss_bbox: 0.1385 d3.loss_iou: 0.2450 d4.loss_cls: 0.2988 d4.loss_bbox: 0.1390 d4.loss_iou: 0.2434 enc_loss_cls: 0.3455 enc_loss_bbox: 0.1658 enc_loss_iou: 0.2838 dn_loss_cls: 0.0869 dn_loss_bbox: 0.1511 dn_loss_iou: 0.2024 d0.dn_loss_cls: 0.1718 d0.dn_loss_bbox: 0.2914 d0.dn_loss_iou: 0.3411 d1.dn_loss_cls: 0.1157 d1.dn_loss_bbox: 0.1813 d1.dn_loss_iou: 0.2336 d2.dn_loss_cls: 0.0991 d2.dn_loss_bbox: 0.1607 d2.dn_loss_iou: 0.2110 d3.dn_loss_cls: 0.0916 d3.dn_loss_bbox: 0.1524 d3.dn_loss_iou: 0.2037 d4.dn_loss_cls: 0.0867 d4.dn_loss_bbox: 0.1511 d4.dn_loss_iou: 0.2023 d1.loss_lmm_region: 0.1367 loss_lmm_image: 0.7798 2024/11/03 21:26:52 - mmengine - INFO - Iter(train) [114700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:43:20 time: 0.9815 data_time: 0.0184 memory: 22160 grad_norm: 22.4933 loss: 9.5681 loss_cls: 0.3077 loss_bbox: 0.1346 loss_iou: 0.2642 d0.loss_cls: 0.3446 d0.loss_bbox: 0.1520 d0.loss_iou: 0.2896 d1.loss_cls: 0.3292 d1.loss_bbox: 0.1394 d1.loss_iou: 0.2728 d2.loss_cls: 0.3147 d2.loss_bbox: 0.1372 d2.loss_iou: 0.2681 d3.loss_cls: 0.3121 d3.loss_bbox: 0.1330 d3.loss_iou: 0.2641 d4.loss_cls: 0.3066 d4.loss_bbox: 0.1349 d4.loss_iou: 0.2648 enc_loss_cls: 0.3642 enc_loss_bbox: 0.1654 enc_loss_iou: 0.3091 dn_loss_cls: 0.0759 dn_loss_bbox: 0.1602 dn_loss_iou: 0.2342 d0.dn_loss_cls: 0.1703 d0.dn_loss_bbox: 0.3347 d0.dn_loss_iou: 0.4032 d1.dn_loss_cls: 0.1070 d1.dn_loss_bbox: 0.1997 d1.dn_loss_iou: 0.2747 d2.dn_loss_cls: 0.0890 d2.dn_loss_bbox: 0.1692 d2.dn_loss_iou: 0.2441 d3.dn_loss_cls: 0.0800 d3.dn_loss_bbox: 0.1616 d3.dn_loss_iou: 0.2359 d4.dn_loss_cls: 0.0759 d4.dn_loss_bbox: 0.1601 d4.dn_loss_iou: 0.2341 d1.loss_lmm_region: 0.1247 loss_lmm_image: 0.8253 2024/11/03 21:28:30 - mmengine - INFO - Iter(train) [114800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:41:40 time: 0.9733 data_time: 0.0186 memory: 21738 grad_norm: 20.6278 loss: 9.2661 loss_cls: 0.2762 loss_bbox: 0.1416 loss_iou: 0.2493 d0.loss_cls: 0.3103 d0.loss_bbox: 0.1537 d0.loss_iou: 0.2630 d1.loss_cls: 0.2897 d1.loss_bbox: 0.1429 d1.loss_iou: 0.2534 d2.loss_cls: 0.2822 d2.loss_bbox: 0.1430 d2.loss_iou: 0.2508 d3.loss_cls: 0.2789 d3.loss_bbox: 0.1443 d3.loss_iou: 0.2512 d4.loss_cls: 0.2774 d4.loss_bbox: 0.1435 d4.loss_iou: 0.2490 enc_loss_cls: 0.3253 enc_loss_bbox: 0.1617 enc_loss_iou: 0.2865 dn_loss_cls: 0.0807 dn_loss_bbox: 0.1838 dn_loss_iou: 0.2265 d0.dn_loss_cls: 0.1627 d0.dn_loss_bbox: 0.3358 d0.dn_loss_iou: 0.3707 d1.dn_loss_cls: 0.1089 d1.dn_loss_bbox: 0.2174 d1.dn_loss_iou: 0.2598 d2.dn_loss_cls: 0.0936 d2.dn_loss_bbox: 0.1910 d2.dn_loss_iou: 0.2348 d3.dn_loss_cls: 0.0858 d3.dn_loss_bbox: 0.1843 d3.dn_loss_iou: 0.2276 d4.dn_loss_cls: 0.0790 d4.dn_loss_bbox: 0.1839 d4.dn_loss_iou: 0.2265 d1.loss_lmm_region: 0.1342 loss_lmm_image: 0.8053 2024/11/03 21:30:08 - mmengine - INFO - Iter(train) [114900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:40:01 time: 0.9846 data_time: 0.0185 memory: 20681 grad_norm: 22.5834 loss: 8.6825 loss_cls: 0.2584 loss_bbox: 0.1185 loss_iou: 0.2385 d0.loss_cls: 0.2917 d0.loss_bbox: 0.1338 d0.loss_iou: 0.2472 d1.loss_cls: 0.2728 d1.loss_bbox: 0.1236 d1.loss_iou: 0.2427 d2.loss_cls: 0.2652 d2.loss_bbox: 0.1186 d2.loss_iou: 0.2388 d3.loss_cls: 0.2644 d3.loss_bbox: 0.1160 d3.loss_iou: 0.2360 d4.loss_cls: 0.2595 d4.loss_bbox: 0.1178 d4.loss_iou: 0.2385 enc_loss_cls: 0.3081 enc_loss_bbox: 0.1464 enc_loss_iou: 0.2744 dn_loss_cls: 0.0813 dn_loss_bbox: 0.1489 dn_loss_iou: 0.2213 d0.dn_loss_cls: 0.1674 d0.dn_loss_bbox: 0.3045 d0.dn_loss_iou: 0.3781 d1.dn_loss_cls: 0.1111 d1.dn_loss_bbox: 0.1797 d1.dn_loss_iou: 0.2542 d2.dn_loss_cls: 0.0970 d2.dn_loss_bbox: 0.1566 d2.dn_loss_iou: 0.2295 d3.dn_loss_cls: 0.0855 d3.dn_loss_bbox: 0.1505 d3.dn_loss_iou: 0.2230 d4.dn_loss_cls: 0.0828 d4.dn_loss_bbox: 0.1489 d4.dn_loss_iou: 0.2213 d1.loss_lmm_region: 0.1263 loss_lmm_image: 0.8040 2024/11/03 21:31:45 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 21:31:45 - mmengine - INFO - Iter(train) [115000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:38:21 time: 0.9726 data_time: 0.0184 memory: 20849 grad_norm: 21.7554 loss: 10.9720 loss_cls: 0.3283 loss_bbox: 0.1913 loss_iou: 0.3522 d0.loss_cls: 0.3775 d0.loss_bbox: 0.2014 d0.loss_iou: 0.3647 d1.loss_cls: 0.3534 d1.loss_bbox: 0.1970 d1.loss_iou: 0.3562 d2.loss_cls: 0.3463 d2.loss_bbox: 0.1901 d2.loss_iou: 0.3458 d3.loss_cls: 0.3410 d3.loss_bbox: 0.1893 d3.loss_iou: 0.3480 d4.loss_cls: 0.3357 d4.loss_bbox: 0.1902 d4.loss_iou: 0.3486 enc_loss_cls: 0.3955 enc_loss_bbox: 0.2090 enc_loss_iou: 0.3817 dn_loss_cls: 0.0947 dn_loss_bbox: 0.1969 dn_loss_iou: 0.2442 d0.dn_loss_cls: 0.1742 d0.dn_loss_bbox: 0.3679 d0.dn_loss_iou: 0.4024 d1.dn_loss_cls: 0.1244 d1.dn_loss_bbox: 0.2362 d1.dn_loss_iou: 0.2797 d2.dn_loss_cls: 0.1104 d2.dn_loss_bbox: 0.2091 d2.dn_loss_iou: 0.2537 d3.dn_loss_cls: 0.0991 d3.dn_loss_bbox: 0.1979 d3.dn_loss_iou: 0.2456 d4.dn_loss_cls: 0.0937 d4.dn_loss_bbox: 0.1969 d4.dn_loss_iou: 0.2442 d1.loss_lmm_region: 0.1218 loss_lmm_image: 0.7354 2024/11/03 21:33:22 - mmengine - INFO - Iter(train) [115100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:36:41 time: 0.9782 data_time: 0.0184 memory: 20868 grad_norm: 19.9374 loss: 9.2570 loss_cls: 0.2822 loss_bbox: 0.1318 loss_iou: 0.2418 d0.loss_cls: 0.3177 d0.loss_bbox: 0.1585 d0.loss_iou: 0.2705 d1.loss_cls: 0.3002 d1.loss_bbox: 0.1430 d1.loss_iou: 0.2534 d2.loss_cls: 0.2926 d2.loss_bbox: 0.1343 d2.loss_iou: 0.2450 d3.loss_cls: 0.2884 d3.loss_bbox: 0.1302 d3.loss_iou: 0.2429 d4.loss_cls: 0.2843 d4.loss_bbox: 0.1318 d4.loss_iou: 0.2427 enc_loss_cls: 0.3416 enc_loss_bbox: 0.1673 enc_loss_iou: 0.2892 dn_loss_cls: 0.1042 dn_loss_bbox: 0.1634 dn_loss_iou: 0.2139 d0.dn_loss_cls: 0.1824 d0.dn_loss_bbox: 0.3231 d0.dn_loss_iou: 0.3686 d1.dn_loss_cls: 0.1299 d1.dn_loss_bbox: 0.2040 d1.dn_loss_iou: 0.2520 d2.dn_loss_cls: 0.1185 d2.dn_loss_bbox: 0.1749 d2.dn_loss_iou: 0.2246 d3.dn_loss_cls: 0.1071 d3.dn_loss_bbox: 0.1647 d3.dn_loss_iou: 0.2153 d4.dn_loss_cls: 0.1040 d4.dn_loss_bbox: 0.1634 d4.dn_loss_iou: 0.2138 d1.loss_lmm_region: 0.1365 loss_lmm_image: 0.8031 2024/11/03 21:35:00 - mmengine - INFO - Iter(train) [115200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:35:02 time: 0.9803 data_time: 0.0184 memory: 21315 grad_norm: 22.4146 loss: 10.8558 loss_cls: 0.3785 loss_bbox: 0.1607 loss_iou: 0.3139 d0.loss_cls: 0.4079 d0.loss_bbox: 0.1842 d0.loss_iou: 0.3431 d1.loss_cls: 0.3921 d1.loss_bbox: 0.1686 d1.loss_iou: 0.3188 d2.loss_cls: 0.3892 d2.loss_bbox: 0.1658 d2.loss_iou: 0.3161 d3.loss_cls: 0.3892 d3.loss_bbox: 0.1609 d3.loss_iou: 0.3124 d4.loss_cls: 0.3801 d4.loss_bbox: 0.1623 d4.loss_iou: 0.3140 enc_loss_cls: 0.4292 enc_loss_bbox: 0.1966 enc_loss_iou: 0.3628 dn_loss_cls: 0.0848 dn_loss_bbox: 0.1792 dn_loss_iou: 0.2498 d0.dn_loss_cls: 0.1873 d0.dn_loss_bbox: 0.3357 d0.dn_loss_iou: 0.4095 d1.dn_loss_cls: 0.1267 d1.dn_loss_bbox: 0.2106 d1.dn_loss_iou: 0.2836 d2.dn_loss_cls: 0.1042 d2.dn_loss_bbox: 0.1873 d2.dn_loss_iou: 0.2581 d3.dn_loss_cls: 0.0908 d3.dn_loss_bbox: 0.1807 d3.dn_loss_iou: 0.2515 d4.dn_loss_cls: 0.0858 d4.dn_loss_bbox: 0.1792 d4.dn_loss_iou: 0.2498 d1.loss_lmm_region: 0.1429 loss_lmm_image: 0.8117 2024/11/03 21:36:38 - mmengine - INFO - Iter(train) [115300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:33:22 time: 0.9745 data_time: 0.0184 memory: 21961 grad_norm: 21.2487 loss: 9.7884 loss_cls: 0.2880 loss_bbox: 0.1647 loss_iou: 0.2757 d0.loss_cls: 0.3252 d0.loss_bbox: 0.1764 d0.loss_iou: 0.2882 d1.loss_cls: 0.3069 d1.loss_bbox: 0.1684 d1.loss_iou: 0.2777 d2.loss_cls: 0.2992 d2.loss_bbox: 0.1646 d2.loss_iou: 0.2750 d3.loss_cls: 0.2923 d3.loss_bbox: 0.1668 d3.loss_iou: 0.2762 d4.loss_cls: 0.2870 d4.loss_bbox: 0.1657 d4.loss_iou: 0.2765 enc_loss_cls: 0.3477 enc_loss_bbox: 0.1866 enc_loss_iou: 0.3056 dn_loss_cls: 0.0817 dn_loss_bbox: 0.1890 dn_loss_iou: 0.2391 d0.dn_loss_cls: 0.1664 d0.dn_loss_bbox: 0.3469 d0.dn_loss_iou: 0.3907 d1.dn_loss_cls: 0.1146 d1.dn_loss_bbox: 0.2175 d1.dn_loss_iou: 0.2705 d2.dn_loss_cls: 0.0975 d2.dn_loss_bbox: 0.1944 d2.dn_loss_iou: 0.2467 d3.dn_loss_cls: 0.0859 d3.dn_loss_bbox: 0.1904 d3.dn_loss_iou: 0.2409 d4.dn_loss_cls: 0.0828 d4.dn_loss_bbox: 0.1891 d4.dn_loss_iou: 0.2392 d1.loss_lmm_region: 0.1295 loss_lmm_image: 0.7612 2024/11/03 21:38:16 - mmengine - INFO - Iter(train) [115400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:31:43 time: 0.9905 data_time: 0.0185 memory: 22329 grad_norm: 26.5691 loss: 9.2057 loss_cls: 0.2870 loss_bbox: 0.1277 loss_iou: 0.2116 d0.loss_cls: 0.3139 d0.loss_bbox: 0.1508 d0.loss_iou: 0.2338 d1.loss_cls: 0.3002 d1.loss_bbox: 0.1383 d1.loss_iou: 0.2183 d2.loss_cls: 0.2957 d2.loss_bbox: 0.1285 d2.loss_iou: 0.2117 d3.loss_cls: 0.2929 d3.loss_bbox: 0.1271 d3.loss_iou: 0.2094 d4.loss_cls: 0.2875 d4.loss_bbox: 0.1281 d4.loss_iou: 0.2117 enc_loss_cls: 0.3285 enc_loss_bbox: 0.1631 enc_loss_iou: 0.2550 dn_loss_cls: 0.0989 dn_loss_bbox: 0.1972 dn_loss_iou: 0.2239 d0.dn_loss_cls: 0.1825 d0.dn_loss_bbox: 0.3624 d0.dn_loss_iou: 0.3754 d1.dn_loss_cls: 0.1275 d1.dn_loss_bbox: 0.2261 d1.dn_loss_iou: 0.2544 d2.dn_loss_cls: 0.1119 d2.dn_loss_bbox: 0.2024 d2.dn_loss_iou: 0.2314 d3.dn_loss_cls: 0.1017 d3.dn_loss_bbox: 0.1980 d3.dn_loss_iou: 0.2248 d4.dn_loss_cls: 0.0993 d4.dn_loss_bbox: 0.1973 d4.dn_loss_iou: 0.2238 d1.loss_lmm_region: 0.1192 loss_lmm_image: 0.8267 2024/11/03 21:39:54 - mmengine - INFO - Iter(train) [115500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:30:03 time: 0.9732 data_time: 0.0185 memory: 20441 grad_norm: 19.7268 loss: 9.9286 loss_cls: 0.3227 loss_bbox: 0.1443 loss_iou: 0.3090 d0.loss_cls: 0.3704 d0.loss_bbox: 0.1600 d0.loss_iou: 0.3251 d1.loss_cls: 0.3405 d1.loss_bbox: 0.1529 d1.loss_iou: 0.3224 d2.loss_cls: 0.3320 d2.loss_bbox: 0.1468 d2.loss_iou: 0.3136 d3.loss_cls: 0.3230 d3.loss_bbox: 0.1444 d3.loss_iou: 0.3090 d4.loss_cls: 0.3229 d4.loss_bbox: 0.1429 d4.loss_iou: 0.3103 enc_loss_cls: 0.3813 enc_loss_bbox: 0.1760 enc_loss_iou: 0.3496 dn_loss_cls: 0.0852 dn_loss_bbox: 0.1616 dn_loss_iou: 0.2238 d0.dn_loss_cls: 0.1609 d0.dn_loss_bbox: 0.3059 d0.dn_loss_iou: 0.3678 d1.dn_loss_cls: 0.1094 d1.dn_loss_bbox: 0.1905 d1.dn_loss_iou: 0.2565 d2.dn_loss_cls: 0.0972 d2.dn_loss_bbox: 0.1682 d2.dn_loss_iou: 0.2321 d3.dn_loss_cls: 0.0910 d3.dn_loss_bbox: 0.1632 d3.dn_loss_iou: 0.2253 d4.dn_loss_cls: 0.0869 d4.dn_loss_bbox: 0.1615 d4.dn_loss_iou: 0.2239 d1.loss_lmm_region: 0.1293 loss_lmm_image: 0.7896 2024/11/03 21:41:31 - mmengine - INFO - Iter(train) [115600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:28:23 time: 0.9786 data_time: 0.0185 memory: 20075 grad_norm: 25.9661 loss: 9.6125 loss_cls: 0.3153 loss_bbox: 0.1461 loss_iou: 0.2618 d0.loss_cls: 0.3483 d0.loss_bbox: 0.1570 d0.loss_iou: 0.2807 d1.loss_cls: 0.3269 d1.loss_bbox: 0.1556 d1.loss_iou: 0.2709 d2.loss_cls: 0.3237 d2.loss_bbox: 0.1502 d2.loss_iou: 0.2647 d3.loss_cls: 0.3206 d3.loss_bbox: 0.1472 d3.loss_iou: 0.2620 d4.loss_cls: 0.3186 d4.loss_bbox: 0.1445 d4.loss_iou: 0.2609 enc_loss_cls: 0.3697 enc_loss_bbox: 0.1743 enc_loss_iou: 0.3054 dn_loss_cls: 0.0979 dn_loss_bbox: 0.1534 dn_loss_iou: 0.2168 d0.dn_loss_cls: 0.1979 d0.dn_loss_bbox: 0.3233 d0.dn_loss_iou: 0.3782 d1.dn_loss_cls: 0.1363 d1.dn_loss_bbox: 0.1878 d1.dn_loss_iou: 0.2503 d2.dn_loss_cls: 0.1160 d2.dn_loss_bbox: 0.1601 d2.dn_loss_iou: 0.2244 d3.dn_loss_cls: 0.1032 d3.dn_loss_bbox: 0.1549 d3.dn_loss_iou: 0.2184 d4.dn_loss_cls: 0.0975 d4.dn_loss_bbox: 0.1535 d4.dn_loss_iou: 0.2169 d1.loss_lmm_region: 0.1343 loss_lmm_image: 0.7870 2024/11/03 21:43:09 - mmengine - INFO - Iter(train) [115700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:26:44 time: 0.9770 data_time: 0.0184 memory: 21656 grad_norm: 20.4369 loss: 9.8262 loss_cls: 0.2979 loss_bbox: 0.1708 loss_iou: 0.2810 d0.loss_cls: 0.3313 d0.loss_bbox: 0.1871 d0.loss_iou: 0.3010 d1.loss_cls: 0.3182 d1.loss_bbox: 0.1751 d1.loss_iou: 0.2887 d2.loss_cls: 0.3096 d2.loss_bbox: 0.1740 d2.loss_iou: 0.2831 d3.loss_cls: 0.3067 d3.loss_bbox: 0.1687 d3.loss_iou: 0.2772 d4.loss_cls: 0.3005 d4.loss_bbox: 0.1707 d4.loss_iou: 0.2807 enc_loss_cls: 0.3540 enc_loss_bbox: 0.1953 enc_loss_iou: 0.3166 dn_loss_cls: 0.0813 dn_loss_bbox: 0.1853 dn_loss_iou: 0.2221 d0.dn_loss_cls: 0.1592 d0.dn_loss_bbox: 0.3266 d0.dn_loss_iou: 0.3576 d1.dn_loss_cls: 0.1076 d1.dn_loss_bbox: 0.2170 d1.dn_loss_iou: 0.2518 d2.dn_loss_cls: 0.0922 d2.dn_loss_bbox: 0.1932 d2.dn_loss_iou: 0.2298 d3.dn_loss_cls: 0.0843 d3.dn_loss_bbox: 0.1871 d3.dn_loss_iou: 0.2236 d4.dn_loss_cls: 0.0825 d4.dn_loss_bbox: 0.1853 d4.dn_loss_iou: 0.2221 d1.loss_lmm_region: 0.1307 loss_lmm_image: 0.7988 2024/11/03 21:44:47 - mmengine - INFO - Iter(train) [115800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:25:04 time: 0.9737 data_time: 0.0185 memory: 20594 grad_norm: 23.0253 loss: 9.5711 loss_cls: 0.2953 loss_bbox: 0.1563 loss_iou: 0.2553 d0.loss_cls: 0.3238 d0.loss_bbox: 0.1785 d0.loss_iou: 0.2825 d1.loss_cls: 0.3127 d1.loss_bbox: 0.1631 d1.loss_iou: 0.2681 d2.loss_cls: 0.3032 d2.loss_bbox: 0.1568 d2.loss_iou: 0.2604 d3.loss_cls: 0.3002 d3.loss_bbox: 0.1590 d3.loss_iou: 0.2603 d4.loss_cls: 0.2976 d4.loss_bbox: 0.1568 d4.loss_iou: 0.2568 enc_loss_cls: 0.3509 enc_loss_bbox: 0.1867 enc_loss_iou: 0.2960 dn_loss_cls: 0.0655 dn_loss_bbox: 0.1841 dn_loss_iou: 0.2244 d0.dn_loss_cls: 0.1695 d0.dn_loss_bbox: 0.3530 d0.dn_loss_iou: 0.3828 d1.dn_loss_cls: 0.0996 d1.dn_loss_bbox: 0.2204 d1.dn_loss_iou: 0.2605 d2.dn_loss_cls: 0.0823 d2.dn_loss_bbox: 0.1946 d2.dn_loss_iou: 0.2335 d3.dn_loss_cls: 0.0710 d3.dn_loss_bbox: 0.1857 d3.dn_loss_iou: 0.2259 d4.dn_loss_cls: 0.0663 d4.dn_loss_bbox: 0.1843 d4.dn_loss_iou: 0.2245 d1.loss_lmm_region: 0.1331 loss_lmm_image: 0.7899 2024/11/03 21:46:25 - mmengine - INFO - Iter(train) [115900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:23:25 time: 0.9832 data_time: 0.0186 memory: 21635 grad_norm: 22.0343 loss: 9.8748 loss_cls: 0.3161 loss_bbox: 0.1531 loss_iou: 0.2692 d0.loss_cls: 0.3448 d0.loss_bbox: 0.1664 d0.loss_iou: 0.2885 d1.loss_cls: 0.3344 d1.loss_bbox: 0.1544 d1.loss_iou: 0.2723 d2.loss_cls: 0.3227 d2.loss_bbox: 0.1498 d2.loss_iou: 0.2682 d3.loss_cls: 0.3184 d3.loss_bbox: 0.1516 d3.loss_iou: 0.2681 d4.loss_cls: 0.3151 d4.loss_bbox: 0.1524 d4.loss_iou: 0.2701 enc_loss_cls: 0.3667 enc_loss_bbox: 0.1839 enc_loss_iou: 0.3058 dn_loss_cls: 0.0902 dn_loss_bbox: 0.1778 dn_loss_iou: 0.2464 d0.dn_loss_cls: 0.1803 d0.dn_loss_bbox: 0.3320 d0.dn_loss_iou: 0.4021 d1.dn_loss_cls: 0.1201 d1.dn_loss_bbox: 0.2080 d1.dn_loss_iou: 0.2786 d2.dn_loss_cls: 0.0996 d2.dn_loss_bbox: 0.1853 d2.dn_loss_iou: 0.2540 d3.dn_loss_cls: 0.0955 d3.dn_loss_bbox: 0.1783 d3.dn_loss_iou: 0.2470 d4.dn_loss_cls: 0.0902 d4.dn_loss_bbox: 0.1779 d4.dn_loss_iou: 0.2462 d1.loss_lmm_region: 0.1295 loss_lmm_image: 0.7637 2024/11/03 21:48:02 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 21:48:02 - mmengine - INFO - Iter(train) [116000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:21:45 time: 0.9702 data_time: 0.0188 memory: 20596 grad_norm: 25.3329 loss: 10.0839 loss_cls: 0.3395 loss_bbox: 0.1506 loss_iou: 0.3214 d0.loss_cls: 0.3704 d0.loss_bbox: 0.1723 d0.loss_iou: 0.3468 d1.loss_cls: 0.3538 d1.loss_bbox: 0.1612 d1.loss_iou: 0.3361 d2.loss_cls: 0.3502 d2.loss_bbox: 0.1538 d2.loss_iou: 0.3241 d3.loss_cls: 0.3414 d3.loss_bbox: 0.1536 d3.loss_iou: 0.3237 d4.loss_cls: 0.3382 d4.loss_bbox: 0.1510 d4.loss_iou: 0.3228 enc_loss_cls: 0.4044 enc_loss_bbox: 0.1850 enc_loss_iou: 0.3666 dn_loss_cls: 0.0606 dn_loss_bbox: 0.1622 dn_loss_iou: 0.2287 d0.dn_loss_cls: 0.1447 d0.dn_loss_bbox: 0.2824 d0.dn_loss_iou: 0.3625 d1.dn_loss_cls: 0.0918 d1.dn_loss_bbox: 0.1893 d1.dn_loss_iou: 0.2560 d2.dn_loss_cls: 0.0737 d2.dn_loss_bbox: 0.1686 d2.dn_loss_iou: 0.2353 d3.dn_loss_cls: 0.0665 d3.dn_loss_bbox: 0.1636 d3.dn_loss_iou: 0.2300 d4.dn_loss_cls: 0.0608 d4.dn_loss_bbox: 0.1622 d4.dn_loss_iou: 0.2286 d1.loss_lmm_region: 0.1186 loss_lmm_image: 0.8305 2024/11/03 21:49:40 - mmengine - INFO - Iter(train) [116100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:20:06 time: 0.9857 data_time: 0.0186 memory: 21500 grad_norm: 26.3567 loss: 9.6765 loss_cls: 0.3130 loss_bbox: 0.1480 loss_iou: 0.2538 d0.loss_cls: 0.3512 d0.loss_bbox: 0.1634 d0.loss_iou: 0.2708 d1.loss_cls: 0.3333 d1.loss_bbox: 0.1499 d1.loss_iou: 0.2596 d2.loss_cls: 0.3229 d2.loss_bbox: 0.1478 d2.loss_iou: 0.2564 d3.loss_cls: 0.3189 d3.loss_bbox: 0.1451 d3.loss_iou: 0.2526 d4.loss_cls: 0.3149 d4.loss_bbox: 0.1458 d4.loss_iou: 0.2530 enc_loss_cls: 0.3712 enc_loss_bbox: 0.1748 enc_loss_iou: 0.2923 dn_loss_cls: 0.0795 dn_loss_bbox: 0.1790 dn_loss_iou: 0.2323 d0.dn_loss_cls: 0.1748 d0.dn_loss_bbox: 0.3491 d0.dn_loss_iou: 0.3928 d1.dn_loss_cls: 0.1109 d1.dn_loss_bbox: 0.2106 d1.dn_loss_iou: 0.2644 d2.dn_loss_cls: 0.0930 d2.dn_loss_bbox: 0.1875 d2.dn_loss_iou: 0.2404 d3.dn_loss_cls: 0.0845 d3.dn_loss_bbox: 0.1797 d3.dn_loss_iou: 0.2331 d4.dn_loss_cls: 0.0807 d4.dn_loss_bbox: 0.1792 d4.dn_loss_iou: 0.2325 d1.loss_lmm_region: 0.1206 loss_lmm_image: 0.8129 2024/11/03 21:51:17 - mmengine - INFO - Iter(train) [116200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:18:26 time: 0.9772 data_time: 0.0185 memory: 20858 grad_norm: 22.5670 loss: 9.0352 loss_cls: 0.2570 loss_bbox: 0.1428 loss_iou: 0.2304 d0.loss_cls: 0.2831 d0.loss_bbox: 0.1593 d0.loss_iou: 0.2457 d1.loss_cls: 0.2714 d1.loss_bbox: 0.1484 d1.loss_iou: 0.2372 d2.loss_cls: 0.2643 d2.loss_bbox: 0.1437 d2.loss_iou: 0.2341 d3.loss_cls: 0.2615 d3.loss_bbox: 0.1403 d3.loss_iou: 0.2291 d4.loss_cls: 0.2581 d4.loss_bbox: 0.1429 d4.loss_iou: 0.2311 enc_loss_cls: 0.3076 enc_loss_bbox: 0.1638 enc_loss_iou: 0.2620 dn_loss_cls: 0.0945 dn_loss_bbox: 0.1844 dn_loss_iou: 0.2178 d0.dn_loss_cls: 0.1800 d0.dn_loss_bbox: 0.3478 d0.dn_loss_iou: 0.3666 d1.dn_loss_cls: 0.1269 d1.dn_loss_bbox: 0.2194 d1.dn_loss_iou: 0.2492 d2.dn_loss_cls: 0.1100 d2.dn_loss_bbox: 0.1943 d2.dn_loss_iou: 0.2258 d3.dn_loss_cls: 0.1004 d3.dn_loss_bbox: 0.1871 d3.dn_loss_iou: 0.2198 d4.dn_loss_cls: 0.0961 d4.dn_loss_bbox: 0.1845 d4.dn_loss_iou: 0.2178 d1.loss_lmm_region: 0.1467 loss_lmm_image: 0.7526 2024/11/03 21:52:55 - mmengine - INFO - Iter(train) [116300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:16:46 time: 0.9643 data_time: 0.0185 memory: 20608 grad_norm: 24.4111 loss: 9.6998 loss_cls: 0.3143 loss_bbox: 0.1560 loss_iou: 0.2855 d0.loss_cls: 0.3581 d0.loss_bbox: 0.1623 d0.loss_iou: 0.2937 d1.loss_cls: 0.3362 d1.loss_bbox: 0.1567 d1.loss_iou: 0.2864 d2.loss_cls: 0.3277 d2.loss_bbox: 0.1530 d2.loss_iou: 0.2844 d3.loss_cls: 0.3212 d3.loss_bbox: 0.1556 d3.loss_iou: 0.2854 d4.loss_cls: 0.3159 d4.loss_bbox: 0.1563 d4.loss_iou: 0.2861 enc_loss_cls: 0.3753 enc_loss_bbox: 0.1743 enc_loss_iou: 0.3129 dn_loss_cls: 0.0886 dn_loss_bbox: 0.1579 dn_loss_iou: 0.2122 d0.dn_loss_cls: 0.1798 d0.dn_loss_bbox: 0.2985 d0.dn_loss_iou: 0.3550 d1.dn_loss_cls: 0.1242 d1.dn_loss_bbox: 0.1891 d1.dn_loss_iou: 0.2445 d2.dn_loss_cls: 0.1067 d2.dn_loss_bbox: 0.1683 d2.dn_loss_iou: 0.2209 d3.dn_loss_cls: 0.0919 d3.dn_loss_bbox: 0.1595 d3.dn_loss_iou: 0.2138 d4.dn_loss_cls: 0.0894 d4.dn_loss_bbox: 0.1579 d4.dn_loss_iou: 0.2121 d1.loss_lmm_region: 0.1260 loss_lmm_image: 0.8060 2024/11/03 21:54:33 - mmengine - INFO - Iter(train) [116400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:15:07 time: 0.9893 data_time: 0.0184 memory: 21638 grad_norm: 21.9085 loss: 8.8684 loss_cls: 0.2744 loss_bbox: 0.1318 loss_iou: 0.2324 d0.loss_cls: 0.3102 d0.loss_bbox: 0.1462 d0.loss_iou: 0.2480 d1.loss_cls: 0.2901 d1.loss_bbox: 0.1376 d1.loss_iou: 0.2379 d2.loss_cls: 0.2898 d2.loss_bbox: 0.1325 d2.loss_iou: 0.2331 d3.loss_cls: 0.2814 d3.loss_bbox: 0.1313 d3.loss_iou: 0.2319 d4.loss_cls: 0.2745 d4.loss_bbox: 0.1322 d4.loss_iou: 0.2331 enc_loss_cls: 0.3367 enc_loss_bbox: 0.1577 enc_loss_iou: 0.2697 dn_loss_cls: 0.0836 dn_loss_bbox: 0.1667 dn_loss_iou: 0.2120 d0.dn_loss_cls: 0.1660 d0.dn_loss_bbox: 0.3099 d0.dn_loss_iou: 0.3537 d1.dn_loss_cls: 0.1107 d1.dn_loss_bbox: 0.1990 d1.dn_loss_iou: 0.2445 d2.dn_loss_cls: 0.0966 d2.dn_loss_bbox: 0.1731 d2.dn_loss_iou: 0.2195 d3.dn_loss_cls: 0.0863 d3.dn_loss_bbox: 0.1679 d3.dn_loss_iou: 0.2137 d4.dn_loss_cls: 0.0828 d4.dn_loss_bbox: 0.1666 d4.dn_loss_iou: 0.2119 d1.loss_lmm_region: 0.1381 loss_lmm_image: 0.7531 2024/11/03 21:56:11 - mmengine - INFO - Iter(train) [116500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:13:28 time: 0.9724 data_time: 0.0184 memory: 21004 grad_norm: 21.1205 loss: 9.3956 loss_cls: 0.2784 loss_bbox: 0.1480 loss_iou: 0.2570 d0.loss_cls: 0.2996 d0.loss_bbox: 0.1666 d0.loss_iou: 0.2781 d1.loss_cls: 0.2831 d1.loss_bbox: 0.1590 d1.loss_iou: 0.2662 d2.loss_cls: 0.2867 d2.loss_bbox: 0.1475 d2.loss_iou: 0.2563 d3.loss_cls: 0.2803 d3.loss_bbox: 0.1454 d3.loss_iou: 0.2553 d4.loss_cls: 0.2820 d4.loss_bbox: 0.1453 d4.loss_iou: 0.2554 enc_loss_cls: 0.3228 enc_loss_bbox: 0.1732 enc_loss_iou: 0.2931 dn_loss_cls: 0.0755 dn_loss_bbox: 0.1661 dn_loss_iou: 0.2353 d0.dn_loss_cls: 0.1755 d0.dn_loss_bbox: 0.3358 d0.dn_loss_iou: 0.3982 d1.dn_loss_cls: 0.1169 d1.dn_loss_bbox: 0.2069 d1.dn_loss_iou: 0.2736 d2.dn_loss_cls: 0.1012 d2.dn_loss_bbox: 0.1784 d2.dn_loss_iou: 0.2453 d3.dn_loss_cls: 0.0838 d3.dn_loss_bbox: 0.1679 d3.dn_loss_iou: 0.2371 d4.dn_loss_cls: 0.0766 d4.dn_loss_bbox: 0.1661 d4.dn_loss_iou: 0.2354 d1.loss_lmm_region: 0.1232 loss_lmm_image: 0.8176 2024/11/03 21:57:48 - mmengine - INFO - Iter(train) [116600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:11:48 time: 0.9788 data_time: 0.0186 memory: 21843 grad_norm: 20.8400 loss: 9.4643 loss_cls: 0.2826 loss_bbox: 0.1442 loss_iou: 0.2792 d0.loss_cls: 0.3147 d0.loss_bbox: 0.1655 d0.loss_iou: 0.3027 d1.loss_cls: 0.3019 d1.loss_bbox: 0.1513 d1.loss_iou: 0.2851 d2.loss_cls: 0.2938 d2.loss_bbox: 0.1457 d2.loss_iou: 0.2777 d3.loss_cls: 0.2882 d3.loss_bbox: 0.1475 d3.loss_iou: 0.2802 d4.loss_cls: 0.2851 d4.loss_bbox: 0.1441 d4.loss_iou: 0.2783 enc_loss_cls: 0.3395 enc_loss_bbox: 0.1734 enc_loss_iou: 0.3237 dn_loss_cls: 0.0883 dn_loss_bbox: 0.1593 dn_loss_iou: 0.2240 d0.dn_loss_cls: 0.1777 d0.dn_loss_bbox: 0.2948 d0.dn_loss_iou: 0.3694 d1.dn_loss_cls: 0.1250 d1.dn_loss_bbox: 0.1894 d1.dn_loss_iou: 0.2579 d2.dn_loss_cls: 0.1075 d2.dn_loss_bbox: 0.1675 d2.dn_loss_iou: 0.2328 d3.dn_loss_cls: 0.0940 d3.dn_loss_bbox: 0.1602 d3.dn_loss_iou: 0.2253 d4.dn_loss_cls: 0.0893 d4.dn_loss_bbox: 0.1594 d4.dn_loss_iou: 0.2238 d1.loss_lmm_region: 0.1258 loss_lmm_image: 0.7886 2024/11/03 21:59:26 - mmengine - INFO - Iter(train) [116700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:10:08 time: 0.9744 data_time: 0.0184 memory: 20596 grad_norm: 28.6101 loss: 8.9485 loss_cls: 0.2685 loss_bbox: 0.1323 loss_iou: 0.2199 d0.loss_cls: 0.2888 d0.loss_bbox: 0.1514 d0.loss_iou: 0.2388 d1.loss_cls: 0.2824 d1.loss_bbox: 0.1413 d1.loss_iou: 0.2278 d2.loss_cls: 0.2771 d2.loss_bbox: 0.1337 d2.loss_iou: 0.2232 d3.loss_cls: 0.2707 d3.loss_bbox: 0.1342 d3.loss_iou: 0.2223 d4.loss_cls: 0.2684 d4.loss_bbox: 0.1320 d4.loss_iou: 0.2187 enc_loss_cls: 0.3105 enc_loss_bbox: 0.1650 enc_loss_iou: 0.2568 dn_loss_cls: 0.0737 dn_loss_bbox: 0.1868 dn_loss_iou: 0.2162 d0.dn_loss_cls: 0.1570 d0.dn_loss_bbox: 0.3655 d0.dn_loss_iou: 0.3678 d1.dn_loss_cls: 0.1060 d1.dn_loss_bbox: 0.2321 d1.dn_loss_iou: 0.2540 d2.dn_loss_cls: 0.0858 d2.dn_loss_bbox: 0.1989 d2.dn_loss_iou: 0.2269 d3.dn_loss_cls: 0.0788 d3.dn_loss_bbox: 0.1896 d3.dn_loss_iou: 0.2188 d4.dn_loss_cls: 0.0747 d4.dn_loss_bbox: 0.1869 d4.dn_loss_iou: 0.2161 d1.loss_lmm_region: 0.1328 loss_lmm_image: 0.8163 2024/11/03 22:01:05 - mmengine - INFO - Iter(train) [116800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:08:29 time: 0.9936 data_time: 0.0185 memory: 20286 grad_norm: 21.7414 loss: 9.1249 loss_cls: 0.2624 loss_bbox: 0.1349 loss_iou: 0.2589 d0.loss_cls: 0.2880 d0.loss_bbox: 0.1507 d0.loss_iou: 0.2764 d1.loss_cls: 0.2717 d1.loss_bbox: 0.1408 d1.loss_iou: 0.2663 d2.loss_cls: 0.2661 d2.loss_bbox: 0.1382 d2.loss_iou: 0.2620 d3.loss_cls: 0.2655 d3.loss_bbox: 0.1364 d3.loss_iou: 0.2605 d4.loss_cls: 0.2610 d4.loss_bbox: 0.1368 d4.loss_iou: 0.2598 enc_loss_cls: 0.3115 enc_loss_bbox: 0.1555 enc_loss_iou: 0.2875 dn_loss_cls: 0.0742 dn_loss_bbox: 0.1708 dn_loss_iou: 0.2267 d0.dn_loss_cls: 0.1635 d0.dn_loss_bbox: 0.3448 d0.dn_loss_iou: 0.3836 d1.dn_loss_cls: 0.1064 d1.dn_loss_bbox: 0.2068 d1.dn_loss_iou: 0.2606 d2.dn_loss_cls: 0.0903 d2.dn_loss_bbox: 0.1802 d2.dn_loss_iou: 0.2356 d3.dn_loss_cls: 0.0805 d3.dn_loss_bbox: 0.1710 d3.dn_loss_iou: 0.2278 d4.dn_loss_cls: 0.0740 d4.dn_loss_bbox: 0.1706 d4.dn_loss_iou: 0.2267 d1.loss_lmm_region: 0.1420 loss_lmm_image: 0.7980 2024/11/03 22:02:42 - mmengine - INFO - Iter(train) [116900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:06:49 time: 0.9668 data_time: 0.0183 memory: 20901 grad_norm: 24.5341 loss: 8.2576 loss_cls: 0.2409 loss_bbox: 0.1251 loss_iou: 0.2097 d0.loss_cls: 0.2655 d0.loss_bbox: 0.1395 d0.loss_iou: 0.2212 d1.loss_cls: 0.2476 d1.loss_bbox: 0.1325 d1.loss_iou: 0.2171 d2.loss_cls: 0.2459 d2.loss_bbox: 0.1260 d2.loss_iou: 0.2132 d3.loss_cls: 0.2426 d3.loss_bbox: 0.1256 d3.loss_iou: 0.2088 d4.loss_cls: 0.2419 d4.loss_bbox: 0.1234 d4.loss_iou: 0.2087 enc_loss_cls: 0.2795 enc_loss_bbox: 0.1487 enc_loss_iou: 0.2425 dn_loss_cls: 0.0820 dn_loss_bbox: 0.1568 dn_loss_iou: 0.2100 d0.dn_loss_cls: 0.1528 d0.dn_loss_bbox: 0.2968 d0.dn_loss_iou: 0.3550 d1.dn_loss_cls: 0.1041 d1.dn_loss_bbox: 0.1853 d1.dn_loss_iou: 0.2422 d2.dn_loss_cls: 0.0904 d2.dn_loss_bbox: 0.1616 d2.dn_loss_iou: 0.2166 d3.dn_loss_cls: 0.0846 d3.dn_loss_bbox: 0.1568 d3.dn_loss_iou: 0.2108 d4.dn_loss_cls: 0.0821 d4.dn_loss_bbox: 0.1568 d4.dn_loss_iou: 0.2098 d1.loss_lmm_region: 0.0928 loss_lmm_image: 0.8045 2024/11/03 22:04:21 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 22:04:21 - mmengine - INFO - Iter(train) [117000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:05:10 time: 0.9856 data_time: 0.0190 memory: 21224 grad_norm: 22.4799 loss: 9.1657 loss_cls: 0.2956 loss_bbox: 0.1263 loss_iou: 0.2256 d0.loss_cls: 0.3255 d0.loss_bbox: 0.1398 d0.loss_iou: 0.2444 d1.loss_cls: 0.3110 d1.loss_bbox: 0.1281 d1.loss_iou: 0.2327 d2.loss_cls: 0.3040 d2.loss_bbox: 0.1253 d2.loss_iou: 0.2274 d3.loss_cls: 0.2998 d3.loss_bbox: 0.1250 d3.loss_iou: 0.2269 d4.loss_cls: 0.2977 d4.loss_bbox: 0.1259 d4.loss_iou: 0.2259 enc_loss_cls: 0.3465 enc_loss_bbox: 0.1527 enc_loss_iou: 0.2624 dn_loss_cls: 0.1120 dn_loss_bbox: 0.1778 dn_loss_iou: 0.2079 d0.dn_loss_cls: 0.1919 d0.dn_loss_bbox: 0.3358 d0.dn_loss_iou: 0.3530 d1.dn_loss_cls: 0.1475 d1.dn_loss_bbox: 0.2159 d1.dn_loss_iou: 0.2412 d2.dn_loss_cls: 0.1292 d2.dn_loss_bbox: 0.1865 d2.dn_loss_iou: 0.2167 d3.dn_loss_cls: 0.1207 d3.dn_loss_bbox: 0.1790 d3.dn_loss_iou: 0.2093 d4.dn_loss_cls: 0.1127 d4.dn_loss_bbox: 0.1776 d4.dn_loss_iou: 0.2078 d1.loss_lmm_region: 0.1198 loss_lmm_image: 0.7749 2024/11/03 22:05:57 - mmengine - INFO - Iter(train) [117100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:03:30 time: 0.9675 data_time: 0.0184 memory: 20490 grad_norm: 26.8648 loss: 8.3999 loss_cls: 0.2365 loss_bbox: 0.1146 loss_iou: 0.2223 d0.loss_cls: 0.2585 d0.loss_bbox: 0.1355 d0.loss_iou: 0.2424 d1.loss_cls: 0.2470 d1.loss_bbox: 0.1240 d1.loss_iou: 0.2309 d2.loss_cls: 0.2375 d2.loss_bbox: 0.1227 d2.loss_iou: 0.2270 d3.loss_cls: 0.2354 d3.loss_bbox: 0.1205 d3.loss_iou: 0.2231 d4.loss_cls: 0.2334 d4.loss_bbox: 0.1198 d4.loss_iou: 0.2223 enc_loss_cls: 0.2746 enc_loss_bbox: 0.1443 enc_loss_iou: 0.2597 dn_loss_cls: 0.0835 dn_loss_bbox: 0.1651 dn_loss_iou: 0.2083 d0.dn_loss_cls: 0.1613 d0.dn_loss_bbox: 0.3185 d0.dn_loss_iou: 0.3614 d1.dn_loss_cls: 0.1097 d1.dn_loss_bbox: 0.2021 d1.dn_loss_iou: 0.2426 d2.dn_loss_cls: 0.0932 d2.dn_loss_bbox: 0.1760 d2.dn_loss_iou: 0.2190 d3.dn_loss_cls: 0.0872 d3.dn_loss_bbox: 0.1669 d3.dn_loss_iou: 0.2100 d4.dn_loss_cls: 0.0838 d4.dn_loss_bbox: 0.1651 d4.dn_loss_iou: 0.2083 d1.loss_lmm_region: 0.1303 loss_lmm_image: 0.7753 2024/11/03 22:07:36 - mmengine - INFO - Iter(train) [117200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:01:51 time: 0.9917 data_time: 0.0185 memory: 21711 grad_norm: 21.3619 loss: 8.3108 loss_cls: 0.2385 loss_bbox: 0.1278 loss_iou: 0.2304 d0.loss_cls: 0.2649 d0.loss_bbox: 0.1393 d0.loss_iou: 0.2408 d1.loss_cls: 0.2575 d1.loss_bbox: 0.1259 d1.loss_iou: 0.2300 d2.loss_cls: 0.2483 d2.loss_bbox: 0.1250 d2.loss_iou: 0.2238 d3.loss_cls: 0.2408 d3.loss_bbox: 0.1284 d3.loss_iou: 0.2289 d4.loss_cls: 0.2425 d4.loss_bbox: 0.1264 d4.loss_iou: 0.2286 enc_loss_cls: 0.2902 enc_loss_bbox: 0.1405 enc_loss_iou: 0.2535 dn_loss_cls: 0.0831 dn_loss_bbox: 0.1489 dn_loss_iou: 0.2101 d0.dn_loss_cls: 0.1705 d0.dn_loss_bbox: 0.2960 d0.dn_loss_iou: 0.3522 d1.dn_loss_cls: 0.1152 d1.dn_loss_bbox: 0.1781 d1.dn_loss_iou: 0.2419 d2.dn_loss_cls: 0.0974 d2.dn_loss_bbox: 0.1556 d2.dn_loss_iou: 0.2174 d3.dn_loss_cls: 0.0878 d3.dn_loss_bbox: 0.1495 d3.dn_loss_iou: 0.2110 d4.dn_loss_cls: 0.0841 d4.dn_loss_bbox: 0.1488 d4.dn_loss_iou: 0.2101 d1.loss_lmm_region: 0.1047 loss_lmm_image: 0.7166 2024/11/03 22:09:14 - mmengine - INFO - Iter(train) [117300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:00:12 time: 0.9644 data_time: 0.0186 memory: 22320 grad_norm: 20.3055 loss: 9.5504 loss_cls: 0.2736 loss_bbox: 0.1663 loss_iou: 0.2577 d0.loss_cls: 0.3094 d0.loss_bbox: 0.1799 d0.loss_iou: 0.2744 d1.loss_cls: 0.2964 d1.loss_bbox: 0.1662 d1.loss_iou: 0.2598 d2.loss_cls: 0.2861 d2.loss_bbox: 0.1664 d2.loss_iou: 0.2581 d3.loss_cls: 0.2847 d3.loss_bbox: 0.1617 d3.loss_iou: 0.2551 d4.loss_cls: 0.2747 d4.loss_bbox: 0.1669 d4.loss_iou: 0.2577 enc_loss_cls: 0.3328 enc_loss_bbox: 0.1824 enc_loss_iou: 0.2871 dn_loss_cls: 0.0905 dn_loss_bbox: 0.1809 dn_loss_iou: 0.2224 d0.dn_loss_cls: 0.1754 d0.dn_loss_bbox: 0.3325 d0.dn_loss_iou: 0.3638 d1.dn_loss_cls: 0.1246 d1.dn_loss_bbox: 0.2146 d1.dn_loss_iou: 0.2549 d2.dn_loss_cls: 0.1068 d2.dn_loss_bbox: 0.1904 d2.dn_loss_iou: 0.2310 d3.dn_loss_cls: 0.0964 d3.dn_loss_bbox: 0.1818 d3.dn_loss_iou: 0.2239 d4.dn_loss_cls: 0.0908 d4.dn_loss_bbox: 0.1809 d4.dn_loss_iou: 0.2225 d1.loss_lmm_region: 0.1518 loss_lmm_image: 0.8172 2024/11/03 22:10:52 - mmengine - INFO - Iter(train) [117400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:58:32 time: 0.9761 data_time: 0.0186 memory: 22125 grad_norm: 22.2913 loss: 8.8175 loss_cls: 0.2444 loss_bbox: 0.1252 loss_iou: 0.2463 d0.loss_cls: 0.2625 d0.loss_bbox: 0.1417 d0.loss_iou: 0.2653 d1.loss_cls: 0.2543 d1.loss_bbox: 0.1295 d1.loss_iou: 0.2525 d2.loss_cls: 0.2475 d2.loss_bbox: 0.1258 d2.loss_iou: 0.2484 d3.loss_cls: 0.2471 d3.loss_bbox: 0.1260 d3.loss_iou: 0.2456 d4.loss_cls: 0.2455 d4.loss_bbox: 0.1250 d4.loss_iou: 0.2455 enc_loss_cls: 0.2844 enc_loss_bbox: 0.1503 enc_loss_iou: 0.2808 dn_loss_cls: 0.0863 dn_loss_bbox: 0.1648 dn_loss_iou: 0.2239 d0.dn_loss_cls: 0.1760 d0.dn_loss_bbox: 0.3171 d0.dn_loss_iou: 0.3737 d1.dn_loss_cls: 0.1206 d1.dn_loss_bbox: 0.1967 d1.dn_loss_iou: 0.2541 d2.dn_loss_cls: 0.1032 d2.dn_loss_bbox: 0.1741 d2.dn_loss_iou: 0.2319 d3.dn_loss_cls: 0.0916 d3.dn_loss_bbox: 0.1662 d3.dn_loss_iou: 0.2254 d4.dn_loss_cls: 0.0863 d4.dn_loss_bbox: 0.1648 d4.dn_loss_iou: 0.2239 d1.loss_lmm_region: 0.1301 loss_lmm_image: 0.8131 2024/11/03 22:12:29 - mmengine - INFO - Iter(train) [117500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:56:53 time: 0.9810 data_time: 0.0187 memory: 21101 grad_norm: 22.0235 loss: 9.3007 loss_cls: 0.2846 loss_bbox: 0.1280 loss_iou: 0.2337 d0.loss_cls: 0.3175 d0.loss_bbox: 0.1413 d0.loss_iou: 0.2513 d1.loss_cls: 0.3054 d1.loss_bbox: 0.1297 d1.loss_iou: 0.2369 d2.loss_cls: 0.2973 d2.loss_bbox: 0.1293 d2.loss_iou: 0.2354 d3.loss_cls: 0.2902 d3.loss_bbox: 0.1285 d3.loss_iou: 0.2335 d4.loss_cls: 0.2887 d4.loss_bbox: 0.1263 d4.loss_iou: 0.2329 enc_loss_cls: 0.3464 enc_loss_bbox: 0.1510 enc_loss_iou: 0.2695 dn_loss_cls: 0.0991 dn_loss_bbox: 0.1845 dn_loss_iou: 0.2195 d0.dn_loss_cls: 0.1931 d0.dn_loss_bbox: 0.3420 d0.dn_loss_iou: 0.3684 d1.dn_loss_cls: 0.1341 d1.dn_loss_bbox: 0.2157 d1.dn_loss_iou: 0.2526 d2.dn_loss_cls: 0.1131 d2.dn_loss_bbox: 0.1914 d2.dn_loss_iou: 0.2284 d3.dn_loss_cls: 0.1046 d3.dn_loss_bbox: 0.1851 d3.dn_loss_iou: 0.2207 d4.dn_loss_cls: 0.0994 d4.dn_loss_bbox: 0.1844 d4.dn_loss_iou: 0.2195 d1.loss_lmm_region: 0.1616 loss_lmm_image: 0.8263 2024/11/03 22:14:06 - mmengine - INFO - Iter(train) [117600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:55:13 time: 0.9762 data_time: 0.0186 memory: 21327 grad_norm: 20.7544 loss: 9.3301 loss_cls: 0.2862 loss_bbox: 0.1387 loss_iou: 0.2514 d0.loss_cls: 0.3140 d0.loss_bbox: 0.1608 d0.loss_iou: 0.2780 d1.loss_cls: 0.3055 d1.loss_bbox: 0.1453 d1.loss_iou: 0.2631 d2.loss_cls: 0.2956 d2.loss_bbox: 0.1397 d2.loss_iou: 0.2559 d3.loss_cls: 0.2905 d3.loss_bbox: 0.1365 d3.loss_iou: 0.2519 d4.loss_cls: 0.2873 d4.loss_bbox: 0.1385 d4.loss_iou: 0.2513 enc_loss_cls: 0.3350 enc_loss_bbox: 0.1730 enc_loss_iou: 0.2986 dn_loss_cls: 0.0794 dn_loss_bbox: 0.1699 dn_loss_iou: 0.2269 d0.dn_loss_cls: 0.1738 d0.dn_loss_bbox: 0.3179 d0.dn_loss_iou: 0.3751 d1.dn_loss_cls: 0.1112 d1.dn_loss_bbox: 0.2027 d1.dn_loss_iou: 0.2593 d2.dn_loss_cls: 0.0933 d2.dn_loss_bbox: 0.1800 d2.dn_loss_iou: 0.2361 d3.dn_loss_cls: 0.0843 d3.dn_loss_bbox: 0.1711 d3.dn_loss_iou: 0.2286 d4.dn_loss_cls: 0.0808 d4.dn_loss_bbox: 0.1700 d4.dn_loss_iou: 0.2270 d1.loss_lmm_region: 0.1316 loss_lmm_image: 0.8142 2024/11/03 22:15:44 - mmengine - INFO - Iter(train) [117700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:53:33 time: 0.9854 data_time: 0.0185 memory: 21524 grad_norm: 22.6113 loss: 10.4598 loss_cls: 0.3330 loss_bbox: 0.1505 loss_iou: 0.3009 d0.loss_cls: 0.3675 d0.loss_bbox: 0.1773 d0.loss_iou: 0.3219 d1.loss_cls: 0.3466 d1.loss_bbox: 0.1670 d1.loss_iou: 0.3113 d2.loss_cls: 0.3439 d2.loss_bbox: 0.1561 d2.loss_iou: 0.3045 d3.loss_cls: 0.3363 d3.loss_bbox: 0.1541 d3.loss_iou: 0.3022 d4.loss_cls: 0.3340 d4.loss_bbox: 0.1506 d4.loss_iou: 0.3013 enc_loss_cls: 0.3880 enc_loss_bbox: 0.1859 enc_loss_iou: 0.3449 dn_loss_cls: 0.0977 dn_loss_bbox: 0.1786 dn_loss_iou: 0.2565 d0.dn_loss_cls: 0.1890 d0.dn_loss_bbox: 0.3399 d0.dn_loss_iou: 0.4166 d1.dn_loss_cls: 0.1332 d1.dn_loss_bbox: 0.2142 d1.dn_loss_iou: 0.2896 d2.dn_loss_cls: 0.1159 d2.dn_loss_bbox: 0.1881 d2.dn_loss_iou: 0.2656 d3.dn_loss_cls: 0.1036 d3.dn_loss_bbox: 0.1788 d3.dn_loss_iou: 0.2580 d4.dn_loss_cls: 0.0989 d4.dn_loss_bbox: 0.1786 d4.dn_loss_iou: 0.2564 d1.loss_lmm_region: 0.1487 loss_lmm_image: 0.7739 2024/11/03 22:17:23 - mmengine - INFO - Iter(train) [117800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:51:54 time: 0.9762 data_time: 0.0188 memory: 21512 grad_norm: 30.5216 loss: 8.9075 loss_cls: 0.2845 loss_bbox: 0.1235 loss_iou: 0.2458 d0.loss_cls: 0.3242 d0.loss_bbox: 0.1285 d0.loss_iou: 0.2557 d1.loss_cls: 0.3025 d1.loss_bbox: 0.1269 d1.loss_iou: 0.2486 d2.loss_cls: 0.3005 d2.loss_bbox: 0.1210 d2.loss_iou: 0.2439 d3.loss_cls: 0.2908 d3.loss_bbox: 0.1227 d3.loss_iou: 0.2445 d4.loss_cls: 0.2866 d4.loss_bbox: 0.1238 d4.loss_iou: 0.2453 enc_loss_cls: 0.3486 enc_loss_bbox: 0.1431 enc_loss_iou: 0.2787 dn_loss_cls: 0.0802 dn_loss_bbox: 0.1457 dn_loss_iou: 0.2145 d0.dn_loss_cls: 0.1746 d0.dn_loss_bbox: 0.2942 d0.dn_loss_iou: 0.3577 d1.dn_loss_cls: 0.1122 d1.dn_loss_bbox: 0.1772 d1.dn_loss_iou: 0.2446 d2.dn_loss_cls: 0.0943 d2.dn_loss_bbox: 0.1549 d2.dn_loss_iou: 0.2231 d3.dn_loss_cls: 0.0882 d3.dn_loss_bbox: 0.1466 d3.dn_loss_iou: 0.2160 d4.dn_loss_cls: 0.0826 d4.dn_loss_bbox: 0.1457 d4.dn_loss_iou: 0.2145 d1.loss_lmm_region: 0.1308 loss_lmm_image: 0.8198 2024/11/03 22:19:00 - mmengine - INFO - Iter(train) [117900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:50:15 time: 0.9714 data_time: 0.0185 memory: 20743 grad_norm: 21.1969 loss: 9.9556 loss_cls: 0.3204 loss_bbox: 0.1554 loss_iou: 0.2889 d0.loss_cls: 0.3538 d0.loss_bbox: 0.1705 d0.loss_iou: 0.3092 d1.loss_cls: 0.3444 d1.loss_bbox: 0.1586 d1.loss_iou: 0.2959 d2.loss_cls: 0.3416 d2.loss_bbox: 0.1553 d2.loss_iou: 0.2912 d3.loss_cls: 0.3336 d3.loss_bbox: 0.1536 d3.loss_iou: 0.2895 d4.loss_cls: 0.3242 d4.loss_bbox: 0.1535 d4.loss_iou: 0.2883 enc_loss_cls: 0.3779 enc_loss_bbox: 0.1754 enc_loss_iou: 0.3221 dn_loss_cls: 0.0886 dn_loss_bbox: 0.1665 dn_loss_iou: 0.2342 d0.dn_loss_cls: 0.1741 d0.dn_loss_bbox: 0.3134 d0.dn_loss_iou: 0.3856 d1.dn_loss_cls: 0.1188 d1.dn_loss_bbox: 0.2040 d1.dn_loss_iou: 0.2681 d2.dn_loss_cls: 0.1058 d2.dn_loss_bbox: 0.1745 d2.dn_loss_iou: 0.2423 d3.dn_loss_cls: 0.0931 d3.dn_loss_bbox: 0.1676 d3.dn_loss_iou: 0.2355 d4.dn_loss_cls: 0.0878 d4.dn_loss_bbox: 0.1665 d4.dn_loss_iou: 0.2341 d1.loss_lmm_region: 0.1340 loss_lmm_image: 0.7582 2024/11/03 22:20:38 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 22:20:38 - mmengine - INFO - Iter(train) [118000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:48:35 time: 0.9822 data_time: 0.0188 memory: 21681 grad_norm: 21.8987 loss: 9.4127 loss_cls: 0.2961 loss_bbox: 0.1432 loss_iou: 0.2375 d0.loss_cls: 0.3261 d0.loss_bbox: 0.1635 d0.loss_iou: 0.2614 d1.loss_cls: 0.3145 d1.loss_bbox: 0.1527 d1.loss_iou: 0.2460 d2.loss_cls: 0.3083 d2.loss_bbox: 0.1466 d2.loss_iou: 0.2417 d3.loss_cls: 0.3016 d3.loss_bbox: 0.1468 d3.loss_iou: 0.2410 d4.loss_cls: 0.2947 d4.loss_bbox: 0.1440 d4.loss_iou: 0.2383 enc_loss_cls: 0.3412 enc_loss_bbox: 0.1723 enc_loss_iou: 0.2781 dn_loss_cls: 0.0990 dn_loss_bbox: 0.1845 dn_loss_iou: 0.2216 d0.dn_loss_cls: 0.1854 d0.dn_loss_bbox: 0.3409 d0.dn_loss_iou: 0.3715 d1.dn_loss_cls: 0.1271 d1.dn_loss_bbox: 0.2177 d1.dn_loss_iou: 0.2528 d2.dn_loss_cls: 0.1143 d2.dn_loss_bbox: 0.1948 d2.dn_loss_iou: 0.2309 d3.dn_loss_cls: 0.1029 d3.dn_loss_bbox: 0.1850 d3.dn_loss_iou: 0.2225 d4.dn_loss_cls: 0.0983 d4.dn_loss_bbox: 0.1844 d4.dn_loss_iou: 0.2215 d1.loss_lmm_region: 0.1256 loss_lmm_image: 0.7364 2024/11/03 22:22:15 - mmengine - INFO - Iter(train) [118100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:46:56 time: 0.9712 data_time: 0.0185 memory: 20827 grad_norm: 21.2547 loss: 9.0698 loss_cls: 0.2619 loss_bbox: 0.1292 loss_iou: 0.2392 d0.loss_cls: 0.2993 d0.loss_bbox: 0.1475 d0.loss_iou: 0.2568 d1.loss_cls: 0.2888 d1.loss_bbox: 0.1293 d1.loss_iou: 0.2400 d2.loss_cls: 0.2773 d2.loss_bbox: 0.1333 d2.loss_iou: 0.2407 d3.loss_cls: 0.2693 d3.loss_bbox: 0.1280 d3.loss_iou: 0.2398 d4.loss_cls: 0.2653 d4.loss_bbox: 0.1277 d4.loss_iou: 0.2384 enc_loss_cls: 0.3230 enc_loss_bbox: 0.1594 enc_loss_iou: 0.2741 dn_loss_cls: 0.0958 dn_loss_bbox: 0.1671 dn_loss_iou: 0.2258 d0.dn_loss_cls: 0.1769 d0.dn_loss_bbox: 0.3333 d0.dn_loss_iou: 0.3792 d1.dn_loss_cls: 0.1218 d1.dn_loss_bbox: 0.2075 d1.dn_loss_iou: 0.2617 d2.dn_loss_cls: 0.1073 d2.dn_loss_bbox: 0.1777 d2.dn_loss_iou: 0.2347 d3.dn_loss_cls: 0.0988 d3.dn_loss_bbox: 0.1693 d3.dn_loss_iou: 0.2278 d4.dn_loss_cls: 0.0966 d4.dn_loss_bbox: 0.1670 d4.dn_loss_iou: 0.2258 d1.loss_lmm_region: 0.1399 loss_lmm_image: 0.7877 2024/11/03 22:23:53 - mmengine - INFO - Iter(train) [118200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:45:16 time: 0.9830 data_time: 0.0186 memory: 21080 grad_norm: 26.3420 loss: 9.6537 loss_cls: 0.2943 loss_bbox: 0.1537 loss_iou: 0.2778 d0.loss_cls: 0.3275 d0.loss_bbox: 0.1687 d0.loss_iou: 0.2966 d1.loss_cls: 0.3139 d1.loss_bbox: 0.1573 d1.loss_iou: 0.2818 d2.loss_cls: 0.3038 d2.loss_bbox: 0.1540 d2.loss_iou: 0.2799 d3.loss_cls: 0.2987 d3.loss_bbox: 0.1547 d3.loss_iou: 0.2774 d4.loss_cls: 0.2950 d4.loss_bbox: 0.1530 d4.loss_iou: 0.2764 enc_loss_cls: 0.3429 enc_loss_bbox: 0.1845 enc_loss_iou: 0.3190 dn_loss_cls: 0.0659 dn_loss_bbox: 0.1712 dn_loss_iou: 0.2508 d0.dn_loss_cls: 0.1538 d0.dn_loss_bbox: 0.3162 d0.dn_loss_iou: 0.4021 d1.dn_loss_cls: 0.0989 d1.dn_loss_bbox: 0.2042 d1.dn_loss_iou: 0.2830 d2.dn_loss_cls: 0.0824 d2.dn_loss_bbox: 0.1799 d2.dn_loss_iou: 0.2596 d3.dn_loss_cls: 0.0731 d3.dn_loss_bbox: 0.1726 d3.dn_loss_iou: 0.2524 d4.dn_loss_cls: 0.0668 d4.dn_loss_bbox: 0.1711 d4.dn_loss_iou: 0.2506 d1.loss_lmm_region: 0.1325 loss_lmm_image: 0.7558 2024/11/03 22:25:31 - mmengine - INFO - Iter(train) [118300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:43:37 time: 0.9760 data_time: 0.0186 memory: 20700 grad_norm: 21.2672 loss: 9.1171 loss_cls: 0.2605 loss_bbox: 0.1317 loss_iou: 0.2379 d0.loss_cls: 0.2836 d0.loss_bbox: 0.1496 d0.loss_iou: 0.2533 d1.loss_cls: 0.2736 d1.loss_bbox: 0.1367 d1.loss_iou: 0.2424 d2.loss_cls: 0.2650 d2.loss_bbox: 0.1346 d2.loss_iou: 0.2390 d3.loss_cls: 0.2618 d3.loss_bbox: 0.1333 d3.loss_iou: 0.2386 d4.loss_cls: 0.2597 d4.loss_bbox: 0.1311 d4.loss_iou: 0.2380 enc_loss_cls: 0.3101 enc_loss_bbox: 0.1600 enc_loss_iou: 0.2701 dn_loss_cls: 0.0935 dn_loss_bbox: 0.1779 dn_loss_iou: 0.2264 d0.dn_loss_cls: 0.1804 d0.dn_loss_bbox: 0.3546 d0.dn_loss_iou: 0.3860 d1.dn_loss_cls: 0.1230 d1.dn_loss_bbox: 0.2182 d1.dn_loss_iou: 0.2649 d2.dn_loss_cls: 0.1065 d2.dn_loss_bbox: 0.1876 d2.dn_loss_iou: 0.2360 d3.dn_loss_cls: 0.0991 d3.dn_loss_bbox: 0.1781 d3.dn_loss_iou: 0.2272 d4.dn_loss_cls: 0.0945 d4.dn_loss_bbox: 0.1779 d4.dn_loss_iou: 0.2263 d1.loss_lmm_region: 0.1449 loss_lmm_image: 0.8035 2024/11/03 22:27:09 - mmengine - INFO - Iter(train) [118400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:41:57 time: 0.9813 data_time: 0.0184 memory: 21437 grad_norm: 26.0284 loss: 10.7071 loss_cls: 0.3716 loss_bbox: 0.1872 loss_iou: 0.3287 d0.loss_cls: 0.4164 d0.loss_bbox: 0.1920 d0.loss_iou: 0.3395 d1.loss_cls: 0.3943 d1.loss_bbox: 0.1863 d1.loss_iou: 0.3292 d2.loss_cls: 0.3902 d2.loss_bbox: 0.1796 d2.loss_iou: 0.3230 d3.loss_cls: 0.3820 d3.loss_bbox: 0.1817 d3.loss_iou: 0.3232 d4.loss_cls: 0.3740 d4.loss_bbox: 0.1848 d4.loss_iou: 0.3272 enc_loss_cls: 0.4341 enc_loss_bbox: 0.2063 enc_loss_iou: 0.3570 dn_loss_cls: 0.0830 dn_loss_bbox: 0.1534 dn_loss_iou: 0.2274 d0.dn_loss_cls: 0.1801 d0.dn_loss_bbox: 0.3058 d0.dn_loss_iou: 0.3756 d1.dn_loss_cls: 0.1206 d1.dn_loss_bbox: 0.1868 d1.dn_loss_iou: 0.2615 d2.dn_loss_cls: 0.1020 d2.dn_loss_bbox: 0.1629 d2.dn_loss_iou: 0.2371 d3.dn_loss_cls: 0.0889 d3.dn_loss_bbox: 0.1546 d3.dn_loss_iou: 0.2288 d4.dn_loss_cls: 0.0835 d4.dn_loss_bbox: 0.1533 d4.dn_loss_iou: 0.2272 d1.loss_lmm_region: 0.1524 loss_lmm_image: 0.8139 2024/11/03 22:28:47 - mmengine - INFO - Iter(train) [118500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:40:18 time: 0.9770 data_time: 0.0185 memory: 20676 grad_norm: 23.3469 loss: 10.3682 loss_cls: 0.3172 loss_bbox: 0.1801 loss_iou: 0.3263 d0.loss_cls: 0.3568 d0.loss_bbox: 0.1951 d0.loss_iou: 0.3495 d1.loss_cls: 0.3456 d1.loss_bbox: 0.1793 d1.loss_iou: 0.3310 d2.loss_cls: 0.3330 d2.loss_bbox: 0.1837 d2.loss_iou: 0.3289 d3.loss_cls: 0.3258 d3.loss_bbox: 0.1767 d3.loss_iou: 0.3249 d4.loss_cls: 0.3213 d4.loss_bbox: 0.1762 d4.loss_iou: 0.3243 enc_loss_cls: 0.3801 enc_loss_bbox: 0.2112 enc_loss_iou: 0.3709 dn_loss_cls: 0.0741 dn_loss_bbox: 0.1651 dn_loss_iou: 0.2259 d0.dn_loss_cls: 0.1702 d0.dn_loss_bbox: 0.3367 d0.dn_loss_iou: 0.3907 d1.dn_loss_cls: 0.1128 d1.dn_loss_bbox: 0.2058 d1.dn_loss_iou: 0.2649 d2.dn_loss_cls: 0.0927 d2.dn_loss_bbox: 0.1752 d2.dn_loss_iou: 0.2353 d3.dn_loss_cls: 0.0801 d3.dn_loss_bbox: 0.1660 d3.dn_loss_iou: 0.2271 d4.dn_loss_cls: 0.0744 d4.dn_loss_bbox: 0.1651 d4.dn_loss_iou: 0.2258 d1.loss_lmm_region: 0.1191 loss_lmm_image: 0.8235 2024/11/03 22:30:25 - mmengine - INFO - Iter(train) [118600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:38:38 time: 0.9855 data_time: 0.0184 memory: 20035 grad_norm: 21.6078 loss: 8.8477 loss_cls: 0.2773 loss_bbox: 0.1186 loss_iou: 0.2227 d0.loss_cls: 0.3029 d0.loss_bbox: 0.1349 d0.loss_iou: 0.2458 d1.loss_cls: 0.2924 d1.loss_bbox: 0.1211 d1.loss_iou: 0.2291 d2.loss_cls: 0.2852 d2.loss_bbox: 0.1215 d2.loss_iou: 0.2256 d3.loss_cls: 0.2804 d3.loss_bbox: 0.1193 d3.loss_iou: 0.2244 d4.loss_cls: 0.2799 d4.loss_bbox: 0.1180 d4.loss_iou: 0.2211 enc_loss_cls: 0.3162 enc_loss_bbox: 0.1506 enc_loss_iou: 0.2676 dn_loss_cls: 0.1075 dn_loss_bbox: 0.1508 dn_loss_iou: 0.2152 d0.dn_loss_cls: 0.1818 d0.dn_loss_bbox: 0.3090 d0.dn_loss_iou: 0.3705 d1.dn_loss_cls: 0.1319 d1.dn_loss_bbox: 0.1902 d1.dn_loss_iou: 0.2553 d2.dn_loss_cls: 0.1200 d2.dn_loss_bbox: 0.1617 d2.dn_loss_iou: 0.2272 d3.dn_loss_cls: 0.1083 d3.dn_loss_bbox: 0.1528 d3.dn_loss_iou: 0.2174 d4.dn_loss_cls: 0.1063 d4.dn_loss_bbox: 0.1508 d4.dn_loss_iou: 0.2152 d1.loss_lmm_region: 0.1340 loss_lmm_image: 0.7871 2024/11/03 22:32:03 - mmengine - INFO - Iter(train) [118700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:36:59 time: 0.9785 data_time: 0.0186 memory: 20933 grad_norm: 34.5623 loss: 8.6784 loss_cls: 0.2499 loss_bbox: 0.1395 loss_iou: 0.2378 d0.loss_cls: 0.2806 d0.loss_bbox: 0.1424 d0.loss_iou: 0.2460 d1.loss_cls: 0.2660 d1.loss_bbox: 0.1373 d1.loss_iou: 0.2416 d2.loss_cls: 0.2578 d2.loss_bbox: 0.1379 d2.loss_iou: 0.2377 d3.loss_cls: 0.2519 d3.loss_bbox: 0.1389 d3.loss_iou: 0.2377 d4.loss_cls: 0.2532 d4.loss_bbox: 0.1376 d4.loss_iou: 0.2362 enc_loss_cls: 0.2940 enc_loss_bbox: 0.1594 enc_loss_iou: 0.2702 dn_loss_cls: 0.0780 dn_loss_bbox: 0.1599 dn_loss_iou: 0.2151 d0.dn_loss_cls: 0.1529 d0.dn_loss_bbox: 0.3124 d0.dn_loss_iou: 0.3587 d1.dn_loss_cls: 0.1054 d1.dn_loss_bbox: 0.1920 d1.dn_loss_iou: 0.2458 d2.dn_loss_cls: 0.0902 d2.dn_loss_bbox: 0.1698 d2.dn_loss_iou: 0.2232 d3.dn_loss_cls: 0.0812 d3.dn_loss_bbox: 0.1613 d3.dn_loss_iou: 0.2169 d4.dn_loss_cls: 0.0790 d4.dn_loss_bbox: 0.1599 d4.dn_loss_iou: 0.2150 d1.loss_lmm_region: 0.1164 loss_lmm_image: 0.7920 2024/11/03 22:33:40 - mmengine - INFO - Iter(train) [118800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:35:19 time: 0.9764 data_time: 0.0185 memory: 20314 grad_norm: 22.6706 loss: 8.2825 loss_cls: 0.2616 loss_bbox: 0.1127 loss_iou: 0.2131 d0.loss_cls: 0.2966 d0.loss_bbox: 0.1297 d0.loss_iou: 0.2347 d1.loss_cls: 0.2797 d1.loss_bbox: 0.1175 d1.loss_iou: 0.2222 d2.loss_cls: 0.2718 d2.loss_bbox: 0.1122 d2.loss_iou: 0.2135 d3.loss_cls: 0.2686 d3.loss_bbox: 0.1112 d3.loss_iou: 0.2121 d4.loss_cls: 0.2621 d4.loss_bbox: 0.1103 d4.loss_iou: 0.2116 enc_loss_cls: 0.3209 enc_loss_bbox: 0.1403 enc_loss_iou: 0.2509 dn_loss_cls: 0.0675 dn_loss_bbox: 0.1489 dn_loss_iou: 0.1962 d0.dn_loss_cls: 0.1520 d0.dn_loss_bbox: 0.3059 d0.dn_loss_iou: 0.3460 d1.dn_loss_cls: 0.0959 d1.dn_loss_bbox: 0.1832 d1.dn_loss_iou: 0.2285 d2.dn_loss_cls: 0.0790 d2.dn_loss_bbox: 0.1580 d2.dn_loss_iou: 0.2049 d3.dn_loss_cls: 0.0710 d3.dn_loss_bbox: 0.1505 d3.dn_loss_iou: 0.1974 d4.dn_loss_cls: 0.0665 d4.dn_loss_bbox: 0.1489 d4.dn_loss_iou: 0.1960 d1.loss_lmm_region: 0.1139 loss_lmm_image: 0.8192 2024/11/03 22:35:17 - mmengine - INFO - Iter(train) [118900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:33:40 time: 0.9738 data_time: 0.0186 memory: 21291 grad_norm: nan loss: 8.4775 loss_cls: 0.2831 loss_bbox: 0.1194 loss_iou: 0.2313 d0.loss_cls: 0.3086 d0.loss_bbox: 0.1357 d0.loss_iou: 0.2545 d1.loss_cls: 0.2993 d1.loss_bbox: 0.1265 d1.loss_iou: 0.2370 d2.loss_cls: 0.2928 d2.loss_bbox: 0.1193 d2.loss_iou: 0.2316 d3.loss_cls: 0.2869 d3.loss_bbox: 0.1204 d3.loss_iou: 0.2323 d4.loss_cls: 0.2828 d4.loss_bbox: 0.1203 d4.loss_iou: 0.2316 enc_loss_cls: 0.3297 enc_loss_bbox: 0.1524 enc_loss_iou: 0.2786 dn_loss_cls: 0.0858 dn_loss_bbox: 0.1279 dn_loss_iou: 0.1913 d0.dn_loss_cls: 0.1659 d0.dn_loss_bbox: 0.2565 d0.dn_loss_iou: 0.3338 d1.dn_loss_cls: 0.1141 d1.dn_loss_bbox: 0.1566 d1.dn_loss_iou: 0.2234 d2.dn_loss_cls: 0.0997 d2.dn_loss_bbox: 0.1356 d2.dn_loss_iou: 0.1987 d3.dn_loss_cls: 0.0900 d3.dn_loss_bbox: 0.1299 d3.dn_loss_iou: 0.1928 d4.dn_loss_cls: 0.0854 d4.dn_loss_bbox: 0.1279 d4.dn_loss_iou: 0.1913 d1.loss_lmm_region: 0.1274 loss_lmm_image: 0.7697 2024/11/03 22:36:55 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 22:36:55 - mmengine - INFO - Iter(train) [119000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:32:00 time: 0.9841 data_time: 0.0186 memory: 20272 grad_norm: 25.0779 loss: 9.5591 loss_cls: 0.3112 loss_bbox: 0.1366 loss_iou: 0.2740 d0.loss_cls: 0.3527 d0.loss_bbox: 0.1509 d0.loss_iou: 0.3005 d1.loss_cls: 0.3341 d1.loss_bbox: 0.1407 d1.loss_iou: 0.2826 d2.loss_cls: 0.3208 d2.loss_bbox: 0.1360 d2.loss_iou: 0.2758 d3.loss_cls: 0.3167 d3.loss_bbox: 0.1368 d3.loss_iou: 0.2739 d4.loss_cls: 0.3105 d4.loss_bbox: 0.1386 d4.loss_iou: 0.2746 enc_loss_cls: 0.3690 enc_loss_bbox: 0.1604 enc_loss_iou: 0.3172 dn_loss_cls: 0.1425 dn_loss_bbox: 0.1344 dn_loss_iou: 0.1993 d0.dn_loss_cls: 0.2231 d0.dn_loss_bbox: 0.2801 d0.dn_loss_iou: 0.3489 d1.dn_loss_cls: 0.1513 d1.dn_loss_bbox: 0.1652 d1.dn_loss_iou: 0.2336 d2.dn_loss_cls: 0.1431 d2.dn_loss_bbox: 0.1433 d2.dn_loss_iou: 0.2086 d3.dn_loss_cls: 0.1533 d3.dn_loss_bbox: 0.1366 d3.dn_loss_iou: 0.2014 d4.dn_loss_cls: 0.1393 d4.dn_loss_bbox: 0.1345 d4.dn_loss_iou: 0.1992 d1.loss_lmm_region: 0.1181 loss_lmm_image: 0.7893 2024/11/03 22:38:34 - mmengine - INFO - Iter(train) [119100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:30:21 time: 0.9896 data_time: 0.0185 memory: 20507 grad_norm: 20.3769 loss: 8.9790 loss_cls: 0.2454 loss_bbox: 0.1344 loss_iou: 0.2320 d0.loss_cls: 0.2663 d0.loss_bbox: 0.1501 d0.loss_iou: 0.2481 d1.loss_cls: 0.2562 d1.loss_bbox: 0.1361 d1.loss_iou: 0.2363 d2.loss_cls: 0.2527 d2.loss_bbox: 0.1317 d2.loss_iou: 0.2324 d3.loss_cls: 0.2481 d3.loss_bbox: 0.1342 d3.loss_iou: 0.2339 d4.loss_cls: 0.2469 d4.loss_bbox: 0.1336 d4.loss_iou: 0.2320 enc_loss_cls: 0.2822 enc_loss_bbox: 0.1591 enc_loss_iou: 0.2661 dn_loss_cls: 0.0689 dn_loss_bbox: 0.2030 dn_loss_iou: 0.2421 d0.dn_loss_cls: 0.1502 d0.dn_loss_bbox: 0.3674 d0.dn_loss_iou: 0.3926 d1.dn_loss_cls: 0.0971 d1.dn_loss_bbox: 0.2329 d1.dn_loss_iou: 0.2711 d2.dn_loss_cls: 0.0802 d2.dn_loss_bbox: 0.2087 d2.dn_loss_iou: 0.2487 d3.dn_loss_cls: 0.0717 d3.dn_loss_bbox: 0.2028 d3.dn_loss_iou: 0.2425 d4.dn_loss_cls: 0.0697 d4.dn_loss_bbox: 0.2029 d4.dn_loss_iou: 0.2421 d1.loss_lmm_region: 0.1208 loss_lmm_image: 0.8059 2024/11/03 22:40:11 - mmengine - INFO - Iter(train) [119200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:28:42 time: 0.9812 data_time: 0.0185 memory: 20572 grad_norm: 25.6040 loss: 9.7885 loss_cls: 0.2791 loss_bbox: 0.1408 loss_iou: 0.2366 d0.loss_cls: 0.3114 d0.loss_bbox: 0.1599 d0.loss_iou: 0.2551 d1.loss_cls: 0.2944 d1.loss_bbox: 0.1482 d1.loss_iou: 0.2454 d2.loss_cls: 0.2855 d2.loss_bbox: 0.1450 d2.loss_iou: 0.2380 d3.loss_cls: 0.2897 d3.loss_bbox: 0.1398 d3.loss_iou: 0.2335 d4.loss_cls: 0.2806 d4.loss_bbox: 0.1411 d4.loss_iou: 0.2365 enc_loss_cls: 0.3307 enc_loss_bbox: 0.1726 enc_loss_iou: 0.2754 dn_loss_cls: 0.2056 dn_loss_bbox: 0.1762 dn_loss_iou: 0.2198 d0.dn_loss_cls: 0.2296 d0.dn_loss_bbox: 0.3377 d0.dn_loss_iou: 0.3676 d1.dn_loss_cls: 0.2031 d1.dn_loss_bbox: 0.2130 d1.dn_loss_iou: 0.2528 d2.dn_loss_cls: 0.1948 d2.dn_loss_bbox: 0.1879 d2.dn_loss_iou: 0.2290 d3.dn_loss_cls: 0.1920 d3.dn_loss_bbox: 0.1778 d3.dn_loss_iou: 0.2212 d4.dn_loss_cls: 0.2038 d4.dn_loss_bbox: 0.1763 d4.dn_loss_iou: 0.2198 d1.loss_lmm_region: 0.1325 loss_lmm_image: 0.8087 2024/11/03 22:41:49 - mmengine - INFO - Iter(train) [119300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:27:02 time: 0.9800 data_time: 0.0186 memory: 21236 grad_norm: 33.4866 loss: 9.0491 loss_cls: 0.2759 loss_bbox: 0.1456 loss_iou: 0.2348 d0.loss_cls: 0.3127 d0.loss_bbox: 0.1598 d0.loss_iou: 0.2510 d1.loss_cls: 0.2962 d1.loss_bbox: 0.1484 d1.loss_iou: 0.2389 d2.loss_cls: 0.2870 d2.loss_bbox: 0.1454 d2.loss_iou: 0.2339 d3.loss_cls: 0.2792 d3.loss_bbox: 0.1418 d3.loss_iou: 0.2337 d4.loss_cls: 0.2780 d4.loss_bbox: 0.1458 d4.loss_iou: 0.2345 enc_loss_cls: 0.3322 enc_loss_bbox: 0.1721 enc_loss_iou: 0.2673 dn_loss_cls: 0.0831 dn_loss_bbox: 0.1663 dn_loss_iou: 0.2095 d0.dn_loss_cls: 0.1770 d0.dn_loss_bbox: 0.3288 d0.dn_loss_iou: 0.3604 d1.dn_loss_cls: 0.1203 d1.dn_loss_bbox: 0.1988 d1.dn_loss_iou: 0.2413 d2.dn_loss_cls: 0.1030 d2.dn_loss_bbox: 0.1741 d2.dn_loss_iou: 0.2170 d3.dn_loss_cls: 0.0906 d3.dn_loss_bbox: 0.1670 d3.dn_loss_iou: 0.2105 d4.dn_loss_cls: 0.0843 d4.dn_loss_bbox: 0.1662 d4.dn_loss_iou: 0.2095 d1.loss_lmm_region: 0.1280 loss_lmm_image: 0.7991 2024/11/03 22:43:27 - mmengine - INFO - Iter(train) [119400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:25:23 time: 0.9809 data_time: 0.0184 memory: 19943 grad_norm: 22.4133 loss: 9.7068 loss_cls: 0.3286 loss_bbox: 0.1582 loss_iou: 0.2762 d0.loss_cls: 0.3643 d0.loss_bbox: 0.1763 d0.loss_iou: 0.3017 d1.loss_cls: 0.3509 d1.loss_bbox: 0.1625 d1.loss_iou: 0.2830 d2.loss_cls: 0.3394 d2.loss_bbox: 0.1601 d2.loss_iou: 0.2760 d3.loss_cls: 0.3339 d3.loss_bbox: 0.1571 d3.loss_iou: 0.2739 d4.loss_cls: 0.3279 d4.loss_bbox: 0.1581 d4.loss_iou: 0.2765 enc_loss_cls: 0.3768 enc_loss_bbox: 0.1854 enc_loss_iou: 0.3199 dn_loss_cls: 0.0749 dn_loss_bbox: 0.1564 dn_loss_iou: 0.2243 d0.dn_loss_cls: 0.1643 d0.dn_loss_bbox: 0.2976 d0.dn_loss_iou: 0.3693 d1.dn_loss_cls: 0.1085 d1.dn_loss_bbox: 0.1845 d1.dn_loss_iou: 0.2539 d2.dn_loss_cls: 0.0919 d2.dn_loss_bbox: 0.1641 d2.dn_loss_iou: 0.2320 d3.dn_loss_cls: 0.0816 d3.dn_loss_bbox: 0.1561 d3.dn_loss_iou: 0.2248 d4.dn_loss_cls: 0.0754 d4.dn_loss_bbox: 0.1563 d4.dn_loss_iou: 0.2241 d1.loss_lmm_region: 0.1278 loss_lmm_image: 0.7522 2024/11/03 22:45:05 - mmengine - INFO - Iter(train) [119500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:23:43 time: 0.9747 data_time: 0.0186 memory: 20876 grad_norm: 20.4079 loss: 9.7869 loss_cls: 0.2797 loss_bbox: 0.1552 loss_iou: 0.2613 d0.loss_cls: 0.3111 d0.loss_bbox: 0.1727 d0.loss_iou: 0.2813 d1.loss_cls: 0.2960 d1.loss_bbox: 0.1637 d1.loss_iou: 0.2711 d2.loss_cls: 0.2903 d2.loss_bbox: 0.1598 d2.loss_iou: 0.2670 d3.loss_cls: 0.2879 d3.loss_bbox: 0.1560 d3.loss_iou: 0.2628 d4.loss_cls: 0.2808 d4.loss_bbox: 0.1558 d4.loss_iou: 0.2614 enc_loss_cls: 0.3268 enc_loss_bbox: 0.1859 enc_loss_iou: 0.3030 dn_loss_cls: 0.0781 dn_loss_bbox: 0.2048 dn_loss_iou: 0.2503 d0.dn_loss_cls: 0.1560 d0.dn_loss_bbox: 0.3641 d0.dn_loss_iou: 0.4024 d1.dn_loss_cls: 0.1071 d1.dn_loss_bbox: 0.2457 d1.dn_loss_iou: 0.2849 d2.dn_loss_cls: 0.0909 d2.dn_loss_bbox: 0.2131 d2.dn_loss_iou: 0.2586 d3.dn_loss_cls: 0.0838 d3.dn_loss_bbox: 0.2046 d3.dn_loss_iou: 0.2511 d4.dn_loss_cls: 0.0793 d4.dn_loss_bbox: 0.2048 d4.dn_loss_iou: 0.2503 d1.loss_lmm_region: 0.1197 loss_lmm_image: 0.8077 2024/11/03 22:46:42 - mmengine - INFO - Iter(train) [119600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:22:04 time: 0.9752 data_time: 0.0186 memory: 21541 grad_norm: 21.5897 loss: 9.5246 loss_cls: 0.3168 loss_bbox: 0.1279 loss_iou: 0.2395 d0.loss_cls: 0.3391 d0.loss_bbox: 0.1432 d0.loss_iou: 0.2573 d1.loss_cls: 0.3270 d1.loss_bbox: 0.1351 d1.loss_iou: 0.2483 d2.loss_cls: 0.3211 d2.loss_bbox: 0.1315 d2.loss_iou: 0.2422 d3.loss_cls: 0.3177 d3.loss_bbox: 0.1303 d3.loss_iou: 0.2394 d4.loss_cls: 0.3158 d4.loss_bbox: 0.1281 d4.loss_iou: 0.2391 enc_loss_cls: 0.3668 enc_loss_bbox: 0.1537 enc_loss_iou: 0.2724 dn_loss_cls: 0.1093 dn_loss_bbox: 0.1770 dn_loss_iou: 0.2206 d0.dn_loss_cls: 0.1972 d0.dn_loss_bbox: 0.3304 d0.dn_loss_iou: 0.3722 d1.dn_loss_cls: 0.1404 d1.dn_loss_bbox: 0.2154 d1.dn_loss_iou: 0.2579 d2.dn_loss_cls: 0.1283 d2.dn_loss_bbox: 0.1869 d2.dn_loss_iou: 0.2302 d3.dn_loss_cls: 0.1171 d3.dn_loss_bbox: 0.1792 d3.dn_loss_iou: 0.2221 d4.dn_loss_cls: 0.1110 d4.dn_loss_bbox: 0.1769 d4.dn_loss_iou: 0.2206 d1.loss_lmm_region: 0.1240 loss_lmm_image: 0.8154 2024/11/03 22:48:20 - mmengine - INFO - Iter(train) [119700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:20:24 time: 0.9691 data_time: 0.0185 memory: 21010 grad_norm: 22.5897 loss: 9.5055 loss_cls: 0.3140 loss_bbox: 0.1309 loss_iou: 0.2653 d0.loss_cls: 0.3586 d0.loss_bbox: 0.1436 d0.loss_iou: 0.2807 d1.loss_cls: 0.3348 d1.loss_bbox: 0.1394 d1.loss_iou: 0.2724 d2.loss_cls: 0.3286 d2.loss_bbox: 0.1324 d2.loss_iou: 0.2666 d3.loss_cls: 0.3216 d3.loss_bbox: 0.1333 d3.loss_iou: 0.2674 d4.loss_cls: 0.3184 d4.loss_bbox: 0.1307 d4.loss_iou: 0.2651 enc_loss_cls: 0.3651 enc_loss_bbox: 0.1620 enc_loss_iou: 0.3109 dn_loss_cls: 0.0876 dn_loss_bbox: 0.1579 dn_loss_iou: 0.2154 d0.dn_loss_cls: 0.1669 d0.dn_loss_bbox: 0.3201 d0.dn_loss_iou: 0.3759 d1.dn_loss_cls: 0.1180 d1.dn_loss_bbox: 0.1971 d1.dn_loss_iou: 0.2541 d2.dn_loss_cls: 0.1006 d2.dn_loss_bbox: 0.1677 d2.dn_loss_iou: 0.2246 d3.dn_loss_cls: 0.0925 d3.dn_loss_bbox: 0.1598 d3.dn_loss_iou: 0.2171 d4.dn_loss_cls: 0.0871 d4.dn_loss_bbox: 0.1579 d4.dn_loss_iou: 0.2151 d1.loss_lmm_region: 0.1386 loss_lmm_image: 0.8099 2024/11/03 22:49:58 - mmengine - INFO - Iter(train) [119800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:18:45 time: 0.9885 data_time: 0.0186 memory: 21683 grad_norm: 19.6379 loss: 9.4549 loss_cls: 0.2820 loss_bbox: 0.1510 loss_iou: 0.2486 d0.loss_cls: 0.3062 d0.loss_bbox: 0.1683 d0.loss_iou: 0.2732 d1.loss_cls: 0.2932 d1.loss_bbox: 0.1532 d1.loss_iou: 0.2566 d2.loss_cls: 0.2889 d2.loss_bbox: 0.1507 d2.loss_iou: 0.2507 d3.loss_cls: 0.2862 d3.loss_bbox: 0.1498 d3.loss_iou: 0.2486 d4.loss_cls: 0.2843 d4.loss_bbox: 0.1494 d4.loss_iou: 0.2468 enc_loss_cls: 0.3269 enc_loss_bbox: 0.1830 enc_loss_iou: 0.2913 dn_loss_cls: 0.0808 dn_loss_bbox: 0.1862 dn_loss_iou: 0.2239 d0.dn_loss_cls: 0.1791 d0.dn_loss_bbox: 0.3681 d0.dn_loss_iou: 0.3947 d1.dn_loss_cls: 0.1186 d1.dn_loss_bbox: 0.2260 d1.dn_loss_iou: 0.2605 d2.dn_loss_cls: 0.0981 d2.dn_loss_bbox: 0.1964 d2.dn_loss_iou: 0.2336 d3.dn_loss_cls: 0.0871 d3.dn_loss_bbox: 0.1880 d3.dn_loss_iou: 0.2258 d4.dn_loss_cls: 0.0820 d4.dn_loss_bbox: 0.1862 d4.dn_loss_iou: 0.2239 d1.loss_lmm_region: 0.1329 loss_lmm_image: 0.7743 2024/11/03 22:51:36 - mmengine - INFO - Iter(train) [119900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:17:06 time: 0.9929 data_time: 0.0186 memory: 20763 grad_norm: 19.8357 loss: 8.6609 loss_cls: 0.2657 loss_bbox: 0.1264 loss_iou: 0.2425 d0.loss_cls: 0.2938 d0.loss_bbox: 0.1413 d0.loss_iou: 0.2658 d1.loss_cls: 0.2851 d1.loss_bbox: 0.1268 d1.loss_iou: 0.2481 d2.loss_cls: 0.2764 d2.loss_bbox: 0.1249 d2.loss_iou: 0.2448 d3.loss_cls: 0.2750 d3.loss_bbox: 0.1251 d3.loss_iou: 0.2422 d4.loss_cls: 0.2701 d4.loss_bbox: 0.1255 d4.loss_iou: 0.2419 enc_loss_cls: 0.3103 enc_loss_bbox: 0.1549 enc_loss_iou: 0.2807 dn_loss_cls: 0.0666 dn_loss_bbox: 0.1485 dn_loss_iou: 0.2104 d0.dn_loss_cls: 0.1466 d0.dn_loss_bbox: 0.2889 d0.dn_loss_iou: 0.3536 d1.dn_loss_cls: 0.0970 d1.dn_loss_bbox: 0.1793 d1.dn_loss_iou: 0.2403 d2.dn_loss_cls: 0.0803 d2.dn_loss_bbox: 0.1566 d2.dn_loss_iou: 0.2174 d3.dn_loss_cls: 0.0722 d3.dn_loss_bbox: 0.1494 d3.dn_loss_iou: 0.2118 d4.dn_loss_cls: 0.0674 d4.dn_loss_bbox: 0.1484 d4.dn_loss_iou: 0.2102 d1.loss_lmm_region: 0.1269 loss_lmm_image: 0.8220 2024/11/03 22:53:15 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 22:53:15 - mmengine - INFO - Iter(train) [120000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:15:26 time: 0.9738 data_time: 0.0185 memory: 21107 grad_norm: 20.9783 loss: 9.8200 loss_cls: 0.2925 loss_bbox: 0.1520 loss_iou: 0.2495 d0.loss_cls: 0.3237 d0.loss_bbox: 0.1709 d0.loss_iou: 0.2728 d1.loss_cls: 0.3056 d1.loss_bbox: 0.1606 d1.loss_iou: 0.2584 d2.loss_cls: 0.2992 d2.loss_bbox: 0.1551 d2.loss_iou: 0.2503 d3.loss_cls: 0.2954 d3.loss_bbox: 0.1512 d3.loss_iou: 0.2480 d4.loss_cls: 0.2905 d4.loss_bbox: 0.1526 d4.loss_iou: 0.2505 enc_loss_cls: 0.3357 enc_loss_bbox: 0.1862 enc_loss_iou: 0.2858 dn_loss_cls: 0.0975 dn_loss_bbox: 0.2049 dn_loss_iou: 0.2355 d0.dn_loss_cls: 0.1895 d0.dn_loss_bbox: 0.3816 d0.dn_loss_iou: 0.3968 d1.dn_loss_cls: 0.1288 d1.dn_loss_bbox: 0.2397 d1.dn_loss_iou: 0.2705 d2.dn_loss_cls: 0.1124 d2.dn_loss_bbox: 0.2106 d2.dn_loss_iou: 0.2428 d3.dn_loss_cls: 0.1037 d3.dn_loss_bbox: 0.2056 d3.dn_loss_iou: 0.2368 d4.dn_loss_cls: 0.0978 d4.dn_loss_bbox: 0.2049 d4.dn_loss_iou: 0.2353 d1.loss_lmm_region: 0.1417 loss_lmm_image: 0.7970 2024/11/03 22:53:15 - mmengine - INFO - Saving checkpoint at 120000 iterations 2024/11/03 22:57:26 - mmengine - INFO - Iter(val) [100/602] eta: 0:18:44 time: 2.3477 data_time: 0.0016 memory: 5368 2024/11/03 23:01:54 - mmengine - INFO - Iter(val) [200/602] eta: 0:16:29 time: 2.7975 data_time: 0.0017 memory: 5375 2024/11/03 23:07:12 - mmengine - INFO - Iter(val) [300/602] eta: 0:13:35 time: 3.2757 data_time: 0.0018 memory: 5371 2024/11/03 23:13:19 - mmengine - INFO - Iter(val) [400/602] eta: 0:09:54 time: 3.8008 data_time: 0.0018 memory: 5375 2024/11/03 23:20:04 - mmengine - INFO - Iter(val) [500/602] eta: 0:05:22 time: 4.0647 data_time: 0.0018 memory: 5363 2024/11/03 23:27:37 - mmengine - INFO - Iter(val) [600/602] eta: 0:00:06 time: 4.5545 data_time: 0.0018 memory: 5375 2024/11/03 23:34:33 - mmengine - INFO - === 74 classes had less than 10000 detections! Outputting 10000 detections for each class will improve AP further. === 2024/11/03 23:37:02 - mmengine - INFO - mAP_copypaste: {'AP': 0.43098098903281307, 'AP50': 0.5411668200454748, 'AP75': 0.45626103675581803, 'APs': 0.3889295265521572, 'APm': 0.5609789020057985, 'APl': 0.6261091687077311, 'APr': 0.35802089061457687, 'APc': 0.37874444618741465, 'APf': 0.4904380948707027} 2024/11/03 23:37:25 - mmengine - INFO - Iter(val) [602/602] lvis_fixed_ap/AP: 0.4310 lvis_fixed_ap/AP50: 0.5412 lvis_fixed_ap/AP75: 0.4563 lvis_fixed_ap/APs: 0.3889 lvis_fixed_ap/APm: 0.5610 lvis_fixed_ap/APl: 0.6261 lvis_fixed_ap/APr: 0.3580 lvis_fixed_ap/APc: 0.3787 lvis_fixed_ap/APf: 0.4904 data_time: 0.0019 time: 3.3962 2024/11/03 23:39:03 - mmengine - INFO - Iter(train) [120100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:16:11 time: 0.9740 data_time: 0.0189 memory: 21166 grad_norm: 21.9274 loss: 9.5325 loss_cls: 0.2704 loss_bbox: 0.1482 loss_iou: 0.2778 d0.loss_cls: 0.3049 d0.loss_bbox: 0.1642 d0.loss_iou: 0.2935 d1.loss_cls: 0.2843 d1.loss_bbox: 0.1555 d1.loss_iou: 0.2870 d2.loss_cls: 0.2788 d2.loss_bbox: 0.1506 d2.loss_iou: 0.2790 d3.loss_cls: 0.2774 d3.loss_bbox: 0.1485 d3.loss_iou: 0.2762 d4.loss_cls: 0.2721 d4.loss_bbox: 0.1476 d4.loss_iou: 0.2763 enc_loss_cls: 0.3269 enc_loss_bbox: 0.1716 enc_loss_iou: 0.3059 dn_loss_cls: 0.0862 dn_loss_bbox: 0.1752 dn_loss_iou: 0.2294 d0.dn_loss_cls: 0.1697 d0.dn_loss_bbox: 0.3428 d0.dn_loss_iou: 0.3789 d1.dn_loss_cls: 0.1171 d1.dn_loss_bbox: 0.2103 d1.dn_loss_iou: 0.2634 d2.dn_loss_cls: 0.1005 d2.dn_loss_bbox: 0.1845 d2.dn_loss_iou: 0.2393 d3.dn_loss_cls: 0.0916 d3.dn_loss_bbox: 0.1765 d3.dn_loss_iou: 0.2314 d4.dn_loss_cls: 0.0869 d4.dn_loss_bbox: 0.1751 d4.dn_loss_iou: 0.2294 d1.loss_lmm_region: 0.1271 loss_lmm_image: 0.8206 2024/11/03 23:40:40 - mmengine - INFO - Iter(train) [120200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:14:31 time: 0.9777 data_time: 0.0192 memory: 20476 grad_norm: 18.5493 loss: 10.5741 loss_cls: 0.3590 loss_bbox: 0.1725 loss_iou: 0.3124 d0.loss_cls: 0.4030 d0.loss_bbox: 0.1860 d0.loss_iou: 0.3297 d1.loss_cls: 0.3787 d1.loss_bbox: 0.1759 d1.loss_iou: 0.3198 d2.loss_cls: 0.3655 d2.loss_bbox: 0.1764 d2.loss_iou: 0.3161 d3.loss_cls: 0.3607 d3.loss_bbox: 0.1763 d3.loss_iou: 0.3138 d4.loss_cls: 0.3579 d4.loss_bbox: 0.1740 d4.loss_iou: 0.3132 enc_loss_cls: 0.4248 enc_loss_bbox: 0.1977 enc_loss_iou: 0.3509 dn_loss_cls: 0.0858 dn_loss_bbox: 0.1816 dn_loss_iou: 0.2335 d0.dn_loss_cls: 0.1741 d0.dn_loss_bbox: 0.3198 d0.dn_loss_iou: 0.3747 d1.dn_loss_cls: 0.1151 d1.dn_loss_bbox: 0.2099 d1.dn_loss_iou: 0.2635 d2.dn_loss_cls: 0.0993 d2.dn_loss_bbox: 0.1890 d2.dn_loss_iou: 0.2411 d3.dn_loss_cls: 0.0906 d3.dn_loss_bbox: 0.1825 d3.dn_loss_iou: 0.2343 d4.dn_loss_cls: 0.0862 d4.dn_loss_bbox: 0.1817 d4.dn_loss_iou: 0.2334 d1.loss_lmm_region: 0.1285 loss_lmm_image: 0.7850 2024/11/03 23:42:18 - mmengine - INFO - Iter(train) [120300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:12:51 time: 0.9783 data_time: 0.0192 memory: 21071 grad_norm: 19.2943 loss: 9.8635 loss_cls: 0.2966 loss_bbox: 0.1548 loss_iou: 0.3090 d0.loss_cls: 0.3330 d0.loss_bbox: 0.1608 d0.loss_iou: 0.3255 d1.loss_cls: 0.3169 d1.loss_bbox: 0.1547 d1.loss_iou: 0.3165 d2.loss_cls: 0.3074 d2.loss_bbox: 0.1561 d2.loss_iou: 0.3152 d3.loss_cls: 0.3056 d3.loss_bbox: 0.1529 d3.loss_iou: 0.3068 d4.loss_cls: 0.3001 d4.loss_bbox: 0.1547 d4.loss_iou: 0.3085 enc_loss_cls: 0.3529 enc_loss_bbox: 0.1754 enc_loss_iou: 0.3466 dn_loss_cls: 0.0672 dn_loss_bbox: 0.1762 dn_loss_iou: 0.2494 d0.dn_loss_cls: 0.1554 d0.dn_loss_bbox: 0.3118 d0.dn_loss_iou: 0.3987 d1.dn_loss_cls: 0.0987 d1.dn_loss_bbox: 0.2096 d1.dn_loss_iou: 0.2835 d2.dn_loss_cls: 0.0808 d2.dn_loss_bbox: 0.1845 d2.dn_loss_iou: 0.2577 d3.dn_loss_cls: 0.0720 d3.dn_loss_bbox: 0.1772 d3.dn_loss_iou: 0.2509 d4.dn_loss_cls: 0.0684 d4.dn_loss_bbox: 0.1763 d4.dn_loss_iou: 0.2495 d1.loss_lmm_region: 0.1216 loss_lmm_image: 0.7240 2024/11/03 23:43:56 - mmengine - INFO - Iter(train) [120400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:11:11 time: 0.9714 data_time: 0.0189 memory: 20878 grad_norm: 21.2318 loss: 9.8505 loss_cls: 0.2934 loss_bbox: 0.1570 loss_iou: 0.2698 d0.loss_cls: 0.3297 d0.loss_bbox: 0.1783 d0.loss_iou: 0.2884 d1.loss_cls: 0.3077 d1.loss_bbox: 0.1666 d1.loss_iou: 0.2804 d2.loss_cls: 0.3043 d2.loss_bbox: 0.1582 d2.loss_iou: 0.2722 d3.loss_cls: 0.2996 d3.loss_bbox: 0.1547 d3.loss_iou: 0.2691 d4.loss_cls: 0.2979 d4.loss_bbox: 0.1527 d4.loss_iou: 0.2653 enc_loss_cls: 0.3489 enc_loss_bbox: 0.1856 enc_loss_iou: 0.3047 dn_loss_cls: 0.0883 dn_loss_bbox: 0.1952 dn_loss_iou: 0.2390 d0.dn_loss_cls: 0.1761 d0.dn_loss_bbox: 0.3468 d0.dn_loss_iou: 0.3941 d1.dn_loss_cls: 0.1227 d1.dn_loss_bbox: 0.2278 d1.dn_loss_iou: 0.2741 d2.dn_loss_cls: 0.1029 d2.dn_loss_bbox: 0.2024 d2.dn_loss_iou: 0.2475 d3.dn_loss_cls: 0.0934 d3.dn_loss_bbox: 0.1976 d3.dn_loss_iou: 0.2407 d4.dn_loss_cls: 0.0898 d4.dn_loss_bbox: 0.1953 d4.dn_loss_iou: 0.2389 d1.loss_lmm_region: 0.1237 loss_lmm_image: 0.7701 2024/11/03 23:45:33 - mmengine - INFO - Iter(train) [120500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:09:31 time: 0.9792 data_time: 0.0190 memory: 20424 grad_norm: 20.8152 loss: 10.2357 loss_cls: 0.3184 loss_bbox: 0.1653 loss_iou: 0.3065 d0.loss_cls: 0.3677 d0.loss_bbox: 0.1789 d0.loss_iou: 0.3163 d1.loss_cls: 0.3508 d1.loss_bbox: 0.1672 d1.loss_iou: 0.3046 d2.loss_cls: 0.3277 d2.loss_bbox: 0.1693 d2.loss_iou: 0.3051 d3.loss_cls: 0.3227 d3.loss_bbox: 0.1673 d3.loss_iou: 0.3064 d4.loss_cls: 0.3198 d4.loss_bbox: 0.1644 d4.loss_iou: 0.3060 enc_loss_cls: 0.3776 enc_loss_bbox: 0.1918 enc_loss_iou: 0.3333 dn_loss_cls: 0.0976 dn_loss_bbox: 0.1765 dn_loss_iou: 0.2277 d0.dn_loss_cls: 0.1830 d0.dn_loss_bbox: 0.3297 d0.dn_loss_iou: 0.3710 d1.dn_loss_cls: 0.1282 d1.dn_loss_bbox: 0.2110 d1.dn_loss_iou: 0.2583 d2.dn_loss_cls: 0.1093 d2.dn_loss_bbox: 0.1881 d2.dn_loss_iou: 0.2368 d3.dn_loss_cls: 0.0993 d3.dn_loss_bbox: 0.1779 d3.dn_loss_iou: 0.2287 d4.dn_loss_cls: 0.0979 d4.dn_loss_bbox: 0.1765 d4.dn_loss_iou: 0.2277 d1.loss_lmm_region: 0.1348 loss_lmm_image: 0.8087 2024/11/03 23:47:11 - mmengine - INFO - Iter(train) [120600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:07:51 time: 0.9674 data_time: 0.0189 memory: 21553 grad_norm: 21.3002 loss: 9.3966 loss_cls: 0.2803 loss_bbox: 0.1460 loss_iou: 0.2613 d0.loss_cls: 0.3143 d0.loss_bbox: 0.1654 d0.loss_iou: 0.2792 d1.loss_cls: 0.3022 d1.loss_bbox: 0.1490 d1.loss_iou: 0.2678 d2.loss_cls: 0.2915 d2.loss_bbox: 0.1476 d2.loss_iou: 0.2631 d3.loss_cls: 0.2835 d3.loss_bbox: 0.1447 d3.loss_iou: 0.2611 d4.loss_cls: 0.2800 d4.loss_bbox: 0.1447 d4.loss_iou: 0.2610 enc_loss_cls: 0.3305 enc_loss_bbox: 0.1798 enc_loss_iou: 0.3009 dn_loss_cls: 0.1018 dn_loss_bbox: 0.1554 dn_loss_iou: 0.2270 d0.dn_loss_cls: 0.1891 d0.dn_loss_bbox: 0.3038 d0.dn_loss_iou: 0.3692 d1.dn_loss_cls: 0.1310 d1.dn_loss_bbox: 0.1923 d1.dn_loss_iou: 0.2610 d2.dn_loss_cls: 0.1164 d2.dn_loss_bbox: 0.1651 d2.dn_loss_iou: 0.2361 d3.dn_loss_cls: 0.1048 d3.dn_loss_bbox: 0.1570 d3.dn_loss_iou: 0.2286 d4.dn_loss_cls: 0.1011 d4.dn_loss_bbox: 0.1555 d4.dn_loss_iou: 0.2270 d1.loss_lmm_region: 0.1341 loss_lmm_image: 0.7867 2024/11/03 23:48:49 - mmengine - INFO - Iter(train) [120700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:06:11 time: 0.9771 data_time: 0.0188 memory: 21269 grad_norm: 22.7222 loss: 9.7843 loss_cls: 0.2595 loss_bbox: 0.1612 loss_iou: 0.2735 d0.loss_cls: 0.2827 d0.loss_bbox: 0.1832 d0.loss_iou: 0.2950 d1.loss_cls: 0.2788 d1.loss_bbox: 0.1682 d1.loss_iou: 0.2798 d2.loss_cls: 0.2682 d2.loss_bbox: 0.1630 d2.loss_iou: 0.2766 d3.loss_cls: 0.2666 d3.loss_bbox: 0.1610 d3.loss_iou: 0.2736 d4.loss_cls: 0.2599 d4.loss_bbox: 0.1611 d4.loss_iou: 0.2737 enc_loss_cls: 0.3066 enc_loss_bbox: 0.1928 enc_loss_iou: 0.3065 dn_loss_cls: 0.0746 dn_loss_bbox: 0.2147 dn_loss_iou: 0.2548 d0.dn_loss_cls: 0.1707 d0.dn_loss_bbox: 0.3791 d0.dn_loss_iou: 0.4114 d1.dn_loss_cls: 0.1047 d1.dn_loss_bbox: 0.2419 d1.dn_loss_iou: 0.2851 d2.dn_loss_cls: 0.0884 d2.dn_loss_bbox: 0.2182 d2.dn_loss_iou: 0.2612 d3.dn_loss_cls: 0.0793 d3.dn_loss_bbox: 0.2143 d3.dn_loss_iou: 0.2558 d4.dn_loss_cls: 0.0749 d4.dn_loss_bbox: 0.2145 d4.dn_loss_iou: 0.2549 d1.loss_lmm_region: 0.1431 loss_lmm_image: 0.7510 2024/11/03 23:50:26 - mmengine - INFO - Iter(train) [120800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:04:31 time: 0.9767 data_time: 0.0189 memory: 20744 grad_norm: 21.1144 loss: 9.6697 loss_cls: 0.2937 loss_bbox: 0.1633 loss_iou: 0.3054 d0.loss_cls: 0.3332 d0.loss_bbox: 0.1743 d0.loss_iou: 0.3187 d1.loss_cls: 0.3105 d1.loss_bbox: 0.1697 d1.loss_iou: 0.3091 d2.loss_cls: 0.3046 d2.loss_bbox: 0.1616 d2.loss_iou: 0.3047 d3.loss_cls: 0.2996 d3.loss_bbox: 0.1622 d3.loss_iou: 0.3023 d4.loss_cls: 0.2940 d4.loss_bbox: 0.1622 d4.loss_iou: 0.3061 enc_loss_cls: 0.3483 enc_loss_bbox: 0.1847 enc_loss_iou: 0.3419 dn_loss_cls: 0.0649 dn_loss_bbox: 0.1688 dn_loss_iou: 0.2255 d0.dn_loss_cls: 0.1399 d0.dn_loss_bbox: 0.3121 d0.dn_loss_iou: 0.3726 d1.dn_loss_cls: 0.0911 d1.dn_loss_bbox: 0.2008 d1.dn_loss_iou: 0.2572 d2.dn_loss_cls: 0.0771 d2.dn_loss_bbox: 0.1785 d2.dn_loss_iou: 0.2338 d3.dn_loss_cls: 0.0682 d3.dn_loss_bbox: 0.1699 d3.dn_loss_iou: 0.2272 d4.dn_loss_cls: 0.0657 d4.dn_loss_bbox: 0.1689 d4.dn_loss_iou: 0.2255 d1.loss_lmm_region: 0.1157 loss_lmm_image: 0.7564 2024/11/03 23:52:04 - mmengine - INFO - Iter(train) [120900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:02:51 time: 0.9688 data_time: 0.0189 memory: 20980 grad_norm: 20.0161 loss: 8.7019 loss_cls: 0.2643 loss_bbox: 0.1278 loss_iou: 0.2480 d0.loss_cls: 0.2856 d0.loss_bbox: 0.1426 d0.loss_iou: 0.2686 d1.loss_cls: 0.2775 d1.loss_bbox: 0.1333 d1.loss_iou: 0.2565 d2.loss_cls: 0.2634 d2.loss_bbox: 0.1309 d2.loss_iou: 0.2513 d3.loss_cls: 0.2664 d3.loss_bbox: 0.1280 d3.loss_iou: 0.2481 d4.loss_cls: 0.2638 d4.loss_bbox: 0.1285 d4.loss_iou: 0.2488 enc_loss_cls: 0.3064 enc_loss_bbox: 0.1546 enc_loss_iou: 0.2902 dn_loss_cls: 0.0804 dn_loss_bbox: 0.1470 dn_loss_iou: 0.2075 d0.dn_loss_cls: 0.1591 d0.dn_loss_bbox: 0.3054 d0.dn_loss_iou: 0.3532 d1.dn_loss_cls: 0.1045 d1.dn_loss_bbox: 0.1778 d1.dn_loss_iou: 0.2378 d2.dn_loss_cls: 0.0901 d2.dn_loss_bbox: 0.1561 d2.dn_loss_iou: 0.2156 d3.dn_loss_cls: 0.0836 d3.dn_loss_bbox: 0.1486 d3.dn_loss_iou: 0.2089 d4.dn_loss_cls: 0.0808 d4.dn_loss_bbox: 0.1470 d4.dn_loss_iou: 0.2075 d1.loss_lmm_region: 0.1204 loss_lmm_image: 0.7860 2024/11/03 23:53:41 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/03 23:53:41 - mmengine - INFO - Iter(train) [121000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:01:11 time: 0.9720 data_time: 0.0188 memory: 21025 grad_norm: 19.7626 loss: 9.4504 loss_cls: 0.2920 loss_bbox: 0.1485 loss_iou: 0.2499 d0.loss_cls: 0.3236 d0.loss_bbox: 0.1656 d0.loss_iou: 0.2696 d1.loss_cls: 0.3040 d1.loss_bbox: 0.1515 d1.loss_iou: 0.2537 d2.loss_cls: 0.2974 d2.loss_bbox: 0.1473 d2.loss_iou: 0.2522 d3.loss_cls: 0.2936 d3.loss_bbox: 0.1498 d3.loss_iou: 0.2521 d4.loss_cls: 0.2908 d4.loss_bbox: 0.1483 d4.loss_iou: 0.2498 enc_loss_cls: 0.3447 enc_loss_bbox: 0.1715 enc_loss_iou: 0.2814 dn_loss_cls: 0.0775 dn_loss_bbox: 0.1844 dn_loss_iou: 0.2336 d0.dn_loss_cls: 0.1646 d0.dn_loss_bbox: 0.3372 d0.dn_loss_iou: 0.3837 d1.dn_loss_cls: 0.1082 d1.dn_loss_bbox: 0.2179 d1.dn_loss_iou: 0.2662 d2.dn_loss_cls: 0.0920 d2.dn_loss_bbox: 0.1938 d2.dn_loss_iou: 0.2425 d3.dn_loss_cls: 0.0835 d3.dn_loss_bbox: 0.1853 d3.dn_loss_iou: 0.2347 d4.dn_loss_cls: 0.0786 d4.dn_loss_bbox: 0.1844 d4.dn_loss_iou: 0.2335 d1.loss_lmm_region: 0.1490 loss_lmm_image: 0.7623 2024/11/03 23:55:18 - mmengine - INFO - Iter(train) [121100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:59:30 time: 0.9680 data_time: 0.0190 memory: 21023 grad_norm: 20.2363 loss: 10.0996 loss_cls: 0.3389 loss_bbox: 0.1555 loss_iou: 0.2903 d0.loss_cls: 0.3776 d0.loss_bbox: 0.1749 d0.loss_iou: 0.3113 d1.loss_cls: 0.3566 d1.loss_bbox: 0.1668 d1.loss_iou: 0.2996 d2.loss_cls: 0.3537 d2.loss_bbox: 0.1533 d2.loss_iou: 0.2913 d3.loss_cls: 0.3497 d3.loss_bbox: 0.1519 d3.loss_iou: 0.2896 d4.loss_cls: 0.3419 d4.loss_bbox: 0.1544 d4.loss_iou: 0.2908 enc_loss_cls: 0.4014 enc_loss_bbox: 0.1843 enc_loss_iou: 0.3273 dn_loss_cls: 0.0996 dn_loss_bbox: 0.1727 dn_loss_iou: 0.2215 d0.dn_loss_cls: 0.1864 d0.dn_loss_bbox: 0.3117 d0.dn_loss_iou: 0.3568 d1.dn_loss_cls: 0.1368 d1.dn_loss_bbox: 0.2046 d1.dn_loss_iou: 0.2538 d2.dn_loss_cls: 0.1140 d2.dn_loss_bbox: 0.1818 d2.dn_loss_iou: 0.2303 d3.dn_loss_cls: 0.1025 d3.dn_loss_bbox: 0.1740 d3.dn_loss_iou: 0.2233 d4.dn_loss_cls: 0.1010 d4.dn_loss_bbox: 0.1728 d4.dn_loss_iou: 0.2216 d1.loss_lmm_region: 0.1257 loss_lmm_image: 0.7476 2024/11/03 23:56:55 - mmengine - INFO - Iter(train) [121200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:57:50 time: 0.9770 data_time: 0.0188 memory: 20665 grad_norm: 23.1722 loss: 8.6250 loss_cls: 0.2534 loss_bbox: 0.1277 loss_iou: 0.2533 d0.loss_cls: 0.2750 d0.loss_bbox: 0.1445 d0.loss_iou: 0.2768 d1.loss_cls: 0.2620 d1.loss_bbox: 0.1355 d1.loss_iou: 0.2620 d2.loss_cls: 0.2612 d2.loss_bbox: 0.1278 d2.loss_iou: 0.2542 d3.loss_cls: 0.2602 d3.loss_bbox: 0.1275 d3.loss_iou: 0.2537 d4.loss_cls: 0.2551 d4.loss_bbox: 0.1270 d4.loss_iou: 0.2532 enc_loss_cls: 0.2932 enc_loss_bbox: 0.1524 enc_loss_iou: 0.2906 dn_loss_cls: 0.0778 dn_loss_bbox: 0.1530 dn_loss_iou: 0.2207 d0.dn_loss_cls: 0.1508 d0.dn_loss_bbox: 0.2840 d0.dn_loss_iou: 0.3568 d1.dn_loss_cls: 0.1046 d1.dn_loss_bbox: 0.1774 d1.dn_loss_iou: 0.2484 d2.dn_loss_cls: 0.0904 d2.dn_loss_bbox: 0.1594 d2.dn_loss_iou: 0.2282 d3.dn_loss_cls: 0.0845 d3.dn_loss_bbox: 0.1551 d3.dn_loss_iou: 0.2225 d4.dn_loss_cls: 0.0785 d4.dn_loss_bbox: 0.1531 d4.dn_loss_iou: 0.2210 d1.loss_lmm_region: 0.1115 loss_lmm_image: 0.7012 2024/11/03 23:58:32 - mmengine - INFO - Iter(train) [121300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:56:10 time: 0.9654 data_time: 0.0193 memory: 20986 grad_norm: 18.8317 loss: 8.2600 loss_cls: 0.2473 loss_bbox: 0.1202 loss_iou: 0.2243 d0.loss_cls: 0.2740 d0.loss_bbox: 0.1359 d0.loss_iou: 0.2414 d1.loss_cls: 0.2628 d1.loss_bbox: 0.1281 d1.loss_iou: 0.2299 d2.loss_cls: 0.2556 d2.loss_bbox: 0.1205 d2.loss_iou: 0.2250 d3.loss_cls: 0.2545 d3.loss_bbox: 0.1212 d3.loss_iou: 0.2226 d4.loss_cls: 0.2476 d4.loss_bbox: 0.1205 d4.loss_iou: 0.2245 enc_loss_cls: 0.2895 enc_loss_bbox: 0.1506 enc_loss_iou: 0.2621 dn_loss_cls: 0.0699 dn_loss_bbox: 0.1411 dn_loss_iou: 0.2105 d0.dn_loss_cls: 0.1547 d0.dn_loss_bbox: 0.2931 d0.dn_loss_iou: 0.3582 d1.dn_loss_cls: 0.0989 d1.dn_loss_bbox: 0.1763 d1.dn_loss_iou: 0.2423 d2.dn_loss_cls: 0.0823 d2.dn_loss_bbox: 0.1494 d2.dn_loss_iou: 0.2177 d3.dn_loss_cls: 0.0736 d3.dn_loss_bbox: 0.1428 d3.dn_loss_iou: 0.2124 d4.dn_loss_cls: 0.0702 d4.dn_loss_bbox: 0.1412 d4.dn_loss_iou: 0.2106 d1.loss_lmm_region: 0.1193 loss_lmm_image: 0.7373 2024/11/04 00:00:09 - mmengine - INFO - Iter(train) [121400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:54:30 time: 0.9729 data_time: 0.0189 memory: 21140 grad_norm: 23.3243 loss: 9.2352 loss_cls: 0.2866 loss_bbox: 0.1383 loss_iou: 0.2626 d0.loss_cls: 0.3175 d0.loss_bbox: 0.1508 d0.loss_iou: 0.2800 d1.loss_cls: 0.3013 d1.loss_bbox: 0.1452 d1.loss_iou: 0.2714 d2.loss_cls: 0.2950 d2.loss_bbox: 0.1415 d2.loss_iou: 0.2651 d3.loss_cls: 0.2915 d3.loss_bbox: 0.1388 d3.loss_iou: 0.2640 d4.loss_cls: 0.2876 d4.loss_bbox: 0.1386 d4.loss_iou: 0.2631 enc_loss_cls: 0.3407 enc_loss_bbox: 0.1572 enc_loss_iou: 0.2902 dn_loss_cls: 0.0790 dn_loss_bbox: 0.1658 dn_loss_iou: 0.2262 d0.dn_loss_cls: 0.1624 d0.dn_loss_bbox: 0.3079 d0.dn_loss_iou: 0.3765 d1.dn_loss_cls: 0.1166 d1.dn_loss_bbox: 0.2017 d1.dn_loss_iou: 0.2630 d2.dn_loss_cls: 0.0980 d2.dn_loss_bbox: 0.1759 d2.dn_loss_iou: 0.2371 d3.dn_loss_cls: 0.0852 d3.dn_loss_bbox: 0.1673 d3.dn_loss_iou: 0.2279 d4.dn_loss_cls: 0.0796 d4.dn_loss_bbox: 0.1657 d4.dn_loss_iou: 0.2259 d1.loss_lmm_region: 0.1167 loss_lmm_image: 0.7301 2024/11/04 00:01:47 - mmengine - INFO - Iter(train) [121500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:52:50 time: 0.9801 data_time: 0.0193 memory: 21368 grad_norm: 23.5114 loss: 8.4688 loss_cls: 0.2602 loss_bbox: 0.1172 loss_iou: 0.2114 d0.loss_cls: 0.2832 d0.loss_bbox: 0.1339 d0.loss_iou: 0.2334 d1.loss_cls: 0.2703 d1.loss_bbox: 0.1220 d1.loss_iou: 0.2203 d2.loss_cls: 0.2635 d2.loss_bbox: 0.1198 d2.loss_iou: 0.2153 d3.loss_cls: 0.2651 d3.loss_bbox: 0.1180 d3.loss_iou: 0.2130 d4.loss_cls: 0.2631 d4.loss_bbox: 0.1167 d4.loss_iou: 0.2110 enc_loss_cls: 0.3043 enc_loss_bbox: 0.1437 enc_loss_iou: 0.2492 dn_loss_cls: 0.0795 dn_loss_bbox: 0.1640 dn_loss_iou: 0.2083 d0.dn_loss_cls: 0.1507 d0.dn_loss_bbox: 0.3197 d0.dn_loss_iou: 0.3646 d1.dn_loss_cls: 0.1023 d1.dn_loss_bbox: 0.2001 d1.dn_loss_iou: 0.2480 d2.dn_loss_cls: 0.0903 d2.dn_loss_bbox: 0.1743 d2.dn_loss_iou: 0.2204 d3.dn_loss_cls: 0.0845 d3.dn_loss_bbox: 0.1656 d3.dn_loss_iou: 0.2103 d4.dn_loss_cls: 0.0803 d4.dn_loss_bbox: 0.1640 d4.dn_loss_iou: 0.2084 d1.loss_lmm_region: 0.0970 loss_lmm_image: 0.8022 2024/11/04 00:03:24 - mmengine - INFO - Iter(train) [121600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:51:10 time: 0.9726 data_time: 0.0189 memory: 20412 grad_norm: 19.3553 loss: 9.1325 loss_cls: 0.2769 loss_bbox: 0.1351 loss_iou: 0.2797 d0.loss_cls: 0.3105 d0.loss_bbox: 0.1460 d0.loss_iou: 0.2915 d1.loss_cls: 0.2981 d1.loss_bbox: 0.1378 d1.loss_iou: 0.2833 d2.loss_cls: 0.2867 d2.loss_bbox: 0.1370 d2.loss_iou: 0.2803 d3.loss_cls: 0.2829 d3.loss_bbox: 0.1350 d3.loss_iou: 0.2798 d4.loss_cls: 0.2812 d4.loss_bbox: 0.1326 d4.loss_iou: 0.2779 enc_loss_cls: 0.3292 enc_loss_bbox: 0.1606 enc_loss_iou: 0.3138 dn_loss_cls: 0.0807 dn_loss_bbox: 0.1488 dn_loss_iou: 0.2274 d0.dn_loss_cls: 0.1679 d0.dn_loss_bbox: 0.2800 d0.dn_loss_iou: 0.3691 d1.dn_loss_cls: 0.1139 d1.dn_loss_bbox: 0.1761 d1.dn_loss_iou: 0.2571 d2.dn_loss_cls: 0.0969 d2.dn_loss_bbox: 0.1558 d2.dn_loss_iou: 0.2358 d3.dn_loss_cls: 0.0873 d3.dn_loss_bbox: 0.1500 d3.dn_loss_iou: 0.2293 d4.dn_loss_cls: 0.0816 d4.dn_loss_bbox: 0.1488 d4.dn_loss_iou: 0.2273 d1.loss_lmm_region: 0.1198 loss_lmm_image: 0.7226 2024/11/04 00:05:02 - mmengine - INFO - Iter(train) [121700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:49:30 time: 0.9687 data_time: 0.0191 memory: 20614 grad_norm: 21.1030 loss: 9.4112 loss_cls: 0.3066 loss_bbox: 0.1426 loss_iou: 0.3199 d0.loss_cls: 0.3469 d0.loss_bbox: 0.1523 d0.loss_iou: 0.3310 d1.loss_cls: 0.3261 d1.loss_bbox: 0.1471 d1.loss_iou: 0.3266 d2.loss_cls: 0.3148 d2.loss_bbox: 0.1445 d2.loss_iou: 0.3212 d3.loss_cls: 0.3092 d3.loss_bbox: 0.1440 d3.loss_iou: 0.3190 d4.loss_cls: 0.3080 d4.loss_bbox: 0.1420 d4.loss_iou: 0.3183 enc_loss_cls: 0.3624 enc_loss_bbox: 0.1663 enc_loss_iou: 0.3533 dn_loss_cls: 0.0727 dn_loss_bbox: 0.1359 dn_loss_iou: 0.2117 d0.dn_loss_cls: 0.1575 d0.dn_loss_bbox: 0.2535 d0.dn_loss_iou: 0.3405 d1.dn_loss_cls: 0.1053 d1.dn_loss_bbox: 0.1598 d1.dn_loss_iou: 0.2405 d2.dn_loss_cls: 0.0881 d2.dn_loss_bbox: 0.1416 d2.dn_loss_iou: 0.2185 d3.dn_loss_cls: 0.0794 d3.dn_loss_bbox: 0.1377 d3.dn_loss_iou: 0.2130 d4.dn_loss_cls: 0.0734 d4.dn_loss_bbox: 0.1359 d4.dn_loss_iou: 0.2116 d1.loss_lmm_region: 0.1187 loss_lmm_image: 0.7138 2024/11/04 00:06:39 - mmengine - INFO - Iter(train) [121800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:47:50 time: 0.9629 data_time: 0.0189 memory: 20104 grad_norm: 20.4675 loss: 9.5192 loss_cls: 0.2897 loss_bbox: 0.1524 loss_iou: 0.2656 d0.loss_cls: 0.3261 d0.loss_bbox: 0.1689 d0.loss_iou: 0.2859 d1.loss_cls: 0.3124 d1.loss_bbox: 0.1567 d1.loss_iou: 0.2683 d2.loss_cls: 0.2983 d2.loss_bbox: 0.1563 d2.loss_iou: 0.2668 d3.loss_cls: 0.2888 d3.loss_bbox: 0.1569 d3.loss_iou: 0.2678 d4.loss_cls: 0.2903 d4.loss_bbox: 0.1524 d4.loss_iou: 0.2653 enc_loss_cls: 0.3431 enc_loss_bbox: 0.1792 enc_loss_iou: 0.3015 dn_loss_cls: 0.0836 dn_loss_bbox: 0.1719 dn_loss_iou: 0.2229 d0.dn_loss_cls: 0.1677 d0.dn_loss_bbox: 0.3474 d0.dn_loss_iou: 0.3844 d1.dn_loss_cls: 0.1148 d1.dn_loss_bbox: 0.2115 d1.dn_loss_iou: 0.2581 d2.dn_loss_cls: 0.1004 d2.dn_loss_bbox: 0.1811 d2.dn_loss_iou: 0.2321 d3.dn_loss_cls: 0.0903 d3.dn_loss_bbox: 0.1743 d3.dn_loss_iou: 0.2249 d4.dn_loss_cls: 0.0842 d4.dn_loss_bbox: 0.1721 d4.dn_loss_iou: 0.2229 d1.loss_lmm_region: 0.1281 loss_lmm_image: 0.7538 2024/11/04 00:08:16 - mmengine - INFO - Iter(train) [121900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:46:10 time: 0.9687 data_time: 0.0189 memory: 20507 grad_norm: 21.6709 loss: 8.4205 loss_cls: 0.2481 loss_bbox: 0.1314 loss_iou: 0.2433 d0.loss_cls: 0.2762 d0.loss_bbox: 0.1453 d0.loss_iou: 0.2609 d1.loss_cls: 0.2591 d1.loss_bbox: 0.1397 d1.loss_iou: 0.2527 d2.loss_cls: 0.2576 d2.loss_bbox: 0.1316 d2.loss_iou: 0.2439 d3.loss_cls: 0.2515 d3.loss_bbox: 0.1318 d3.loss_iou: 0.2446 d4.loss_cls: 0.2464 d4.loss_bbox: 0.1330 d4.loss_iou: 0.2446 enc_loss_cls: 0.3010 enc_loss_bbox: 0.1533 enc_loss_iou: 0.2778 dn_loss_cls: 0.0748 dn_loss_bbox: 0.1421 dn_loss_iou: 0.2106 d0.dn_loss_cls: 0.1499 d0.dn_loss_bbox: 0.2752 d0.dn_loss_iou: 0.3463 d1.dn_loss_cls: 0.1027 d1.dn_loss_bbox: 0.1711 d1.dn_loss_iou: 0.2379 d2.dn_loss_cls: 0.0910 d2.dn_loss_bbox: 0.1508 d2.dn_loss_iou: 0.2186 d3.dn_loss_cls: 0.0826 d3.dn_loss_bbox: 0.1439 d3.dn_loss_iou: 0.2119 d4.dn_loss_cls: 0.0769 d4.dn_loss_bbox: 0.1420 d4.dn_loss_iou: 0.2106 d1.loss_lmm_region: 0.1142 loss_lmm_image: 0.6937 2024/11/04 00:09:53 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 00:09:53 - mmengine - INFO - Iter(train) [122000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:44:30 time: 0.9697 data_time: 0.0189 memory: 20584 grad_norm: 22.4555 loss: 9.6319 loss_cls: 0.3019 loss_bbox: 0.1551 loss_iou: 0.2770 d0.loss_cls: 0.3357 d0.loss_bbox: 0.1727 d0.loss_iou: 0.2953 d1.loss_cls: 0.3229 d1.loss_bbox: 0.1560 d1.loss_iou: 0.2812 d2.loss_cls: 0.3053 d2.loss_bbox: 0.1608 d2.loss_iou: 0.2821 d3.loss_cls: 0.3074 d3.loss_bbox: 0.1532 d3.loss_iou: 0.2740 d4.loss_cls: 0.3040 d4.loss_bbox: 0.1550 d4.loss_iou: 0.2769 enc_loss_cls: 0.3488 enc_loss_bbox: 0.1833 enc_loss_iou: 0.3128 dn_loss_cls: 0.0792 dn_loss_bbox: 0.1706 dn_loss_iou: 0.2295 d0.dn_loss_cls: 0.1642 d0.dn_loss_bbox: 0.3249 d0.dn_loss_iou: 0.3787 d1.dn_loss_cls: 0.1076 d1.dn_loss_bbox: 0.2070 d1.dn_loss_iou: 0.2646 d2.dn_loss_cls: 0.0917 d2.dn_loss_bbox: 0.1782 d2.dn_loss_iou: 0.2381 d3.dn_loss_cls: 0.0828 d3.dn_loss_bbox: 0.1723 d3.dn_loss_iou: 0.2314 d4.dn_loss_cls: 0.0791 d4.dn_loss_bbox: 0.1706 d4.dn_loss_iou: 0.2295 d1.loss_lmm_region: 0.1256 loss_lmm_image: 0.7447 2024/11/04 00:11:30 - mmengine - INFO - Iter(train) [122100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:42:50 time: 0.9750 data_time: 0.0189 memory: 19985 grad_norm: 19.7943 loss: 9.4618 loss_cls: 0.2658 loss_bbox: 0.1597 loss_iou: 0.2855 d0.loss_cls: 0.2964 d0.loss_bbox: 0.1716 d0.loss_iou: 0.2976 d1.loss_cls: 0.2865 d1.loss_bbox: 0.1609 d1.loss_iou: 0.2860 d2.loss_cls: 0.2771 d2.loss_bbox: 0.1601 d2.loss_iou: 0.2832 d3.loss_cls: 0.2709 d3.loss_bbox: 0.1615 d3.loss_iou: 0.2853 d4.loss_cls: 0.2678 d4.loss_bbox: 0.1603 d4.loss_iou: 0.2851 enc_loss_cls: 0.3099 enc_loss_bbox: 0.1838 enc_loss_iou: 0.3171 dn_loss_cls: 0.0753 dn_loss_bbox: 0.1704 dn_loss_iou: 0.2404 d0.dn_loss_cls: 0.1577 d0.dn_loss_bbox: 0.3110 d0.dn_loss_iou: 0.3812 d1.dn_loss_cls: 0.1076 d1.dn_loss_bbox: 0.2026 d1.dn_loss_iou: 0.2707 d2.dn_loss_cls: 0.0890 d2.dn_loss_bbox: 0.1761 d2.dn_loss_iou: 0.2465 d3.dn_loss_cls: 0.0802 d3.dn_loss_bbox: 0.1705 d3.dn_loss_iou: 0.2410 d4.dn_loss_cls: 0.0760 d4.dn_loss_bbox: 0.1704 d4.dn_loss_iou: 0.2404 d1.loss_lmm_region: 0.1295 loss_lmm_image: 0.7534 2024/11/04 00:13:08 - mmengine - INFO - Iter(train) [122200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:41:10 time: 0.9739 data_time: 0.0189 memory: 21574 grad_norm: 18.6038 loss: 8.5546 loss_cls: 0.2754 loss_bbox: 0.1304 loss_iou: 0.2489 d0.loss_cls: 0.3103 d0.loss_bbox: 0.1419 d0.loss_iou: 0.2666 d1.loss_cls: 0.3010 d1.loss_bbox: 0.1297 d1.loss_iou: 0.2516 d2.loss_cls: 0.2914 d2.loss_bbox: 0.1296 d2.loss_iou: 0.2503 d3.loss_cls: 0.2827 d3.loss_bbox: 0.1305 d3.loss_iou: 0.2492 d4.loss_cls: 0.2741 d4.loss_bbox: 0.1313 d4.loss_iou: 0.2500 enc_loss_cls: 0.3268 enc_loss_bbox: 0.1522 enc_loss_iou: 0.2815 dn_loss_cls: 0.0595 dn_loss_bbox: 0.1494 dn_loss_iou: 0.2053 d0.dn_loss_cls: 0.1440 d0.dn_loss_bbox: 0.2875 d0.dn_loss_iou: 0.3373 d1.dn_loss_cls: 0.0896 d1.dn_loss_bbox: 0.1770 d1.dn_loss_iou: 0.2329 d2.dn_loss_cls: 0.0726 d2.dn_loss_bbox: 0.1556 d2.dn_loss_iou: 0.2116 d3.dn_loss_cls: 0.0629 d3.dn_loss_bbox: 0.1500 d3.dn_loss_iou: 0.2061 d4.dn_loss_cls: 0.0601 d4.dn_loss_bbox: 0.1493 d4.dn_loss_iou: 0.2053 d1.loss_lmm_region: 0.1070 loss_lmm_image: 0.6859 2024/11/04 00:14:44 - mmengine - INFO - Iter(train) [122300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:39:29 time: 0.9558 data_time: 0.0189 memory: 20576 grad_norm: 23.6540 loss: 9.4099 loss_cls: 0.2926 loss_bbox: 0.1291 loss_iou: 0.2787 d0.loss_cls: 0.3209 d0.loss_bbox: 0.1437 d0.loss_iou: 0.2939 d1.loss_cls: 0.3080 d1.loss_bbox: 0.1333 d1.loss_iou: 0.2828 d2.loss_cls: 0.3020 d2.loss_bbox: 0.1287 d2.loss_iou: 0.2772 d3.loss_cls: 0.2983 d3.loss_bbox: 0.1280 d3.loss_iou: 0.2780 d4.loss_cls: 0.2952 d4.loss_bbox: 0.1283 d4.loss_iou: 0.2782 enc_loss_cls: 0.3408 enc_loss_bbox: 0.1562 enc_loss_iou: 0.3120 dn_loss_cls: 0.0837 dn_loss_bbox: 0.1525 dn_loss_iou: 0.2399 d0.dn_loss_cls: 0.1787 d0.dn_loss_bbox: 0.3011 d0.dn_loss_iou: 0.3938 d1.dn_loss_cls: 0.1218 d1.dn_loss_bbox: 0.1871 d1.dn_loss_iou: 0.2741 d2.dn_loss_cls: 0.1029 d2.dn_loss_bbox: 0.1613 d2.dn_loss_iou: 0.2481 d3.dn_loss_cls: 0.0911 d3.dn_loss_bbox: 0.1542 d3.dn_loss_iou: 0.2416 d4.dn_loss_cls: 0.0862 d4.dn_loss_bbox: 0.1524 d4.dn_loss_iou: 0.2397 d1.loss_lmm_region: 0.1015 loss_lmm_image: 0.7922 2024/11/04 00:16:21 - mmengine - INFO - Iter(train) [122400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:37:49 time: 0.9663 data_time: 0.0189 memory: 20545 grad_norm: 20.3190 loss: 9.0652 loss_cls: 0.2775 loss_bbox: 0.1286 loss_iou: 0.2711 d0.loss_cls: 0.3145 d0.loss_bbox: 0.1449 d0.loss_iou: 0.2875 d1.loss_cls: 0.2957 d1.loss_bbox: 0.1306 d1.loss_iou: 0.2738 d2.loss_cls: 0.2867 d2.loss_bbox: 0.1305 d2.loss_iou: 0.2742 d3.loss_cls: 0.2841 d3.loss_bbox: 0.1288 d3.loss_iou: 0.2716 d4.loss_cls: 0.2790 d4.loss_bbox: 0.1288 d4.loss_iou: 0.2711 enc_loss_cls: 0.3364 enc_loss_bbox: 0.1545 enc_loss_iou: 0.3069 dn_loss_cls: 0.0857 dn_loss_bbox: 0.1530 dn_loss_iou: 0.2197 d0.dn_loss_cls: 0.1746 d0.dn_loss_bbox: 0.3014 d0.dn_loss_iou: 0.3688 d1.dn_loss_cls: 0.1234 d1.dn_loss_bbox: 0.1903 d1.dn_loss_iou: 0.2560 d2.dn_loss_cls: 0.1049 d2.dn_loss_bbox: 0.1618 d2.dn_loss_iou: 0.2288 d3.dn_loss_cls: 0.0921 d3.dn_loss_bbox: 0.1553 d3.dn_loss_iou: 0.2219 d4.dn_loss_cls: 0.0861 d4.dn_loss_bbox: 0.1531 d4.dn_loss_iou: 0.2198 d1.loss_lmm_region: 0.1208 loss_lmm_image: 0.6710 2024/11/04 00:17:58 - mmengine - INFO - Iter(train) [122500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:36:09 time: 0.9716 data_time: 0.0190 memory: 20854 grad_norm: 18.7157 loss: 8.9668 loss_cls: 0.2727 loss_bbox: 0.1404 loss_iou: 0.2581 d0.loss_cls: 0.2922 d0.loss_bbox: 0.1591 d0.loss_iou: 0.2774 d1.loss_cls: 0.2825 d1.loss_bbox: 0.1464 d1.loss_iou: 0.2649 d2.loss_cls: 0.2788 d2.loss_bbox: 0.1409 d2.loss_iou: 0.2598 d3.loss_cls: 0.2788 d3.loss_bbox: 0.1397 d3.loss_iou: 0.2594 d4.loss_cls: 0.2743 d4.loss_bbox: 0.1396 d4.loss_iou: 0.2581 enc_loss_cls: 0.3033 enc_loss_bbox: 0.1667 enc_loss_iou: 0.2893 dn_loss_cls: 0.0900 dn_loss_bbox: 0.1485 dn_loss_iou: 0.2212 d0.dn_loss_cls: 0.1733 d0.dn_loss_bbox: 0.3011 d0.dn_loss_iou: 0.3694 d1.dn_loss_cls: 0.1191 d1.dn_loss_bbox: 0.1855 d1.dn_loss_iou: 0.2541 d2.dn_loss_cls: 0.1020 d2.dn_loss_bbox: 0.1582 d2.dn_loss_iou: 0.2297 d3.dn_loss_cls: 0.0951 d3.dn_loss_bbox: 0.1495 d3.dn_loss_iou: 0.2221 d4.dn_loss_cls: 0.0901 d4.dn_loss_bbox: 0.1484 d4.dn_loss_iou: 0.2211 d1.loss_lmm_region: 0.1169 loss_lmm_image: 0.6891 2024/11/04 00:19:35 - mmengine - INFO - Iter(train) [122600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:34:29 time: 0.9740 data_time: 0.0189 memory: 20924 grad_norm: 19.7302 loss: 9.8129 loss_cls: 0.2922 loss_bbox: 0.1669 loss_iou: 0.2815 d0.loss_cls: 0.3253 d0.loss_bbox: 0.1847 d0.loss_iou: 0.3031 d1.loss_cls: 0.3093 d1.loss_bbox: 0.1737 d1.loss_iou: 0.2911 d2.loss_cls: 0.2967 d2.loss_bbox: 0.1729 d2.loss_iou: 0.2866 d3.loss_cls: 0.2976 d3.loss_bbox: 0.1668 d3.loss_iou: 0.2810 d4.loss_cls: 0.2934 d4.loss_bbox: 0.1665 d4.loss_iou: 0.2826 enc_loss_cls: 0.3429 enc_loss_bbox: 0.1956 enc_loss_iou: 0.3167 dn_loss_cls: 0.0784 dn_loss_bbox: 0.1845 dn_loss_iou: 0.2354 d0.dn_loss_cls: 0.1663 d0.dn_loss_bbox: 0.3377 d0.dn_loss_iou: 0.3806 d1.dn_loss_cls: 0.1120 d1.dn_loss_bbox: 0.2188 d1.dn_loss_iou: 0.2689 d2.dn_loss_cls: 0.0936 d2.dn_loss_bbox: 0.1947 d2.dn_loss_iou: 0.2449 d3.dn_loss_cls: 0.0834 d3.dn_loss_bbox: 0.1864 d3.dn_loss_iou: 0.2375 d4.dn_loss_cls: 0.0789 d4.dn_loss_bbox: 0.1846 d4.dn_loss_iou: 0.2355 d1.loss_lmm_region: 0.1203 loss_lmm_image: 0.7437 2024/11/04 00:21:12 - mmengine - INFO - Iter(train) [122700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:32:49 time: 0.9721 data_time: 0.0189 memory: 20281 grad_norm: 18.9154 loss: 9.1707 loss_cls: 0.2886 loss_bbox: 0.1636 loss_iou: 0.2726 d0.loss_cls: 0.3190 d0.loss_bbox: 0.1714 d0.loss_iou: 0.2877 d1.loss_cls: 0.3108 d1.loss_bbox: 0.1638 d1.loss_iou: 0.2704 d2.loss_cls: 0.2958 d2.loss_bbox: 0.1683 d2.loss_iou: 0.2722 d3.loss_cls: 0.2892 d3.loss_bbox: 0.1654 d3.loss_iou: 0.2737 d4.loss_cls: 0.2874 d4.loss_bbox: 0.1649 d4.loss_iou: 0.2730 enc_loss_cls: 0.3405 enc_loss_bbox: 0.1826 enc_loss_iou: 0.3036 dn_loss_cls: 0.0653 dn_loss_bbox: 0.1564 dn_loss_iou: 0.2120 d0.dn_loss_cls: 0.1535 d0.dn_loss_bbox: 0.3130 d0.dn_loss_iou: 0.3547 d1.dn_loss_cls: 0.0985 d1.dn_loss_bbox: 0.1893 d1.dn_loss_iou: 0.2423 d2.dn_loss_cls: 0.0793 d2.dn_loss_bbox: 0.1614 d2.dn_loss_iou: 0.2184 d3.dn_loss_cls: 0.0706 d3.dn_loss_bbox: 0.1572 d3.dn_loss_iou: 0.2132 d4.dn_loss_cls: 0.0664 d4.dn_loss_bbox: 0.1565 d4.dn_loss_iou: 0.2121 d1.loss_lmm_region: 0.1024 loss_lmm_image: 0.6838 2024/11/04 00:22:49 - mmengine - INFO - Iter(train) [122800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:31:09 time: 0.9706 data_time: 0.0190 memory: 21792 grad_norm: 20.8535 loss: 10.0617 loss_cls: 0.3067 loss_bbox: 0.1696 loss_iou: 0.3148 d0.loss_cls: 0.3375 d0.loss_bbox: 0.1861 d0.loss_iou: 0.3323 d1.loss_cls: 0.3246 d1.loss_bbox: 0.1746 d1.loss_iou: 0.3199 d2.loss_cls: 0.3190 d2.loss_bbox: 0.1678 d2.loss_iou: 0.3138 d3.loss_cls: 0.3149 d3.loss_bbox: 0.1703 d3.loss_iou: 0.3128 d4.loss_cls: 0.3088 d4.loss_bbox: 0.1700 d4.loss_iou: 0.3160 enc_loss_cls: 0.3522 enc_loss_bbox: 0.2027 enc_loss_iou: 0.3487 dn_loss_cls: 0.0651 dn_loss_bbox: 0.1770 dn_loss_iou: 0.2481 d0.dn_loss_cls: 0.1709 d0.dn_loss_bbox: 0.3211 d0.dn_loss_iou: 0.3899 d1.dn_loss_cls: 0.1048 d1.dn_loss_bbox: 0.2109 d1.dn_loss_iou: 0.2805 d2.dn_loss_cls: 0.0826 d2.dn_loss_bbox: 0.1864 d2.dn_loss_iou: 0.2571 d3.dn_loss_cls: 0.0718 d3.dn_loss_bbox: 0.1778 d3.dn_loss_iou: 0.2492 d4.dn_loss_cls: 0.0667 d4.dn_loss_bbox: 0.1771 d4.dn_loss_iou: 0.2482 d1.loss_lmm_region: 0.1477 loss_lmm_image: 0.6653 2024/11/04 00:24:25 - mmengine - INFO - Iter(train) [122900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:29:29 time: 0.9635 data_time: 0.0189 memory: 21150 grad_norm: 19.4510 loss: 9.6599 loss_cls: 0.2769 loss_bbox: 0.1667 loss_iou: 0.2822 d0.loss_cls: 0.3100 d0.loss_bbox: 0.1760 d0.loss_iou: 0.2983 d1.loss_cls: 0.2944 d1.loss_bbox: 0.1698 d1.loss_iou: 0.2878 d2.loss_cls: 0.2880 d2.loss_bbox: 0.1660 d2.loss_iou: 0.2837 d3.loss_cls: 0.2826 d3.loss_bbox: 0.1649 d3.loss_iou: 0.2814 d4.loss_cls: 0.2809 d4.loss_bbox: 0.1648 d4.loss_iou: 0.2814 enc_loss_cls: 0.3262 enc_loss_bbox: 0.1886 enc_loss_iou: 0.3121 dn_loss_cls: 0.0898 dn_loss_bbox: 0.1885 dn_loss_iou: 0.2456 d0.dn_loss_cls: 0.1677 d0.dn_loss_bbox: 0.3351 d0.dn_loss_iou: 0.3888 d1.dn_loss_cls: 0.1147 d1.dn_loss_bbox: 0.2167 d1.dn_loss_iou: 0.2749 d2.dn_loss_cls: 0.1014 d2.dn_loss_bbox: 0.1947 d2.dn_loss_iou: 0.2534 d3.dn_loss_cls: 0.0958 d3.dn_loss_bbox: 0.1896 d3.dn_loss_iou: 0.2472 d4.dn_loss_cls: 0.0902 d4.dn_loss_bbox: 0.1886 d4.dn_loss_iou: 0.2455 d1.loss_lmm_region: 0.1072 loss_lmm_image: 0.6419 2024/11/04 00:26:03 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 00:26:03 - mmengine - INFO - Iter(train) [123000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:27:49 time: 0.9722 data_time: 0.0190 memory: 20702 grad_norm: 19.9496 loss: 8.5341 loss_cls: 0.3105 loss_bbox: 0.1160 loss_iou: 0.2274 d0.loss_cls: 0.3438 d0.loss_bbox: 0.1326 d0.loss_iou: 0.2501 d1.loss_cls: 0.3236 d1.loss_bbox: 0.1229 d1.loss_iou: 0.2340 d2.loss_cls: 0.3215 d2.loss_bbox: 0.1176 d2.loss_iou: 0.2268 d3.loss_cls: 0.3184 d3.loss_bbox: 0.1134 d3.loss_iou: 0.2251 d4.loss_cls: 0.3134 d4.loss_bbox: 0.1150 d4.loss_iou: 0.2271 enc_loss_cls: 0.3666 enc_loss_bbox: 0.1450 enc_loss_iou: 0.2673 dn_loss_cls: 0.0774 dn_loss_bbox: 0.1400 dn_loss_iou: 0.1821 d0.dn_loss_cls: 0.1534 d0.dn_loss_bbox: 0.2788 d0.dn_loss_iou: 0.3140 d1.dn_loss_cls: 0.1014 d1.dn_loss_bbox: 0.1691 d1.dn_loss_iou: 0.2094 d2.dn_loss_cls: 0.0867 d2.dn_loss_bbox: 0.1477 d2.dn_loss_iou: 0.1895 d3.dn_loss_cls: 0.0791 d3.dn_loss_bbox: 0.1409 d3.dn_loss_iou: 0.1834 d4.dn_loss_cls: 0.0775 d4.dn_loss_bbox: 0.1400 d4.dn_loss_iou: 0.1821 d1.loss_lmm_region: 0.1142 loss_lmm_image: 0.7493 2024/11/04 00:27:41 - mmengine - INFO - Iter(train) [123100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:26:09 time: 0.9816 data_time: 0.0190 memory: 21458 grad_norm: 22.4978 loss: 9.4900 loss_cls: 0.3046 loss_bbox: 0.1488 loss_iou: 0.2649 d0.loss_cls: 0.3320 d0.loss_bbox: 0.1653 d0.loss_iou: 0.2865 d1.loss_cls: 0.3270 d1.loss_bbox: 0.1530 d1.loss_iou: 0.2711 d2.loss_cls: 0.3120 d2.loss_bbox: 0.1564 d2.loss_iou: 0.2696 d3.loss_cls: 0.3057 d3.loss_bbox: 0.1519 d3.loss_iou: 0.2668 d4.loss_cls: 0.3051 d4.loss_bbox: 0.1476 d4.loss_iou: 0.2641 enc_loss_cls: 0.3632 enc_loss_bbox: 0.1661 enc_loss_iou: 0.2954 dn_loss_cls: 0.0719 dn_loss_bbox: 0.1746 dn_loss_iou: 0.2197 d0.dn_loss_cls: 0.1689 d0.dn_loss_bbox: 0.3258 d0.dn_loss_iou: 0.3607 d1.dn_loss_cls: 0.1085 d1.dn_loss_bbox: 0.2102 d1.dn_loss_iou: 0.2519 d2.dn_loss_cls: 0.0879 d2.dn_loss_bbox: 0.1861 d2.dn_loss_iou: 0.2289 d3.dn_loss_cls: 0.0769 d3.dn_loss_bbox: 0.1753 d3.dn_loss_iou: 0.2213 d4.dn_loss_cls: 0.0734 d4.dn_loss_bbox: 0.1746 d4.dn_loss_iou: 0.2198 d1.loss_lmm_region: 0.1251 loss_lmm_image: 0.7714 2024/11/04 00:29:19 - mmengine - INFO - Iter(train) [123200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:24:29 time: 0.9848 data_time: 0.0189 memory: 20494 grad_norm: 18.7876 loss: 9.5559 loss_cls: 0.2950 loss_bbox: 0.1585 loss_iou: 0.2560 d0.loss_cls: 0.3322 d0.loss_bbox: 0.1730 d0.loss_iou: 0.2697 d1.loss_cls: 0.3154 d1.loss_bbox: 0.1649 d1.loss_iou: 0.2630 d2.loss_cls: 0.3056 d2.loss_bbox: 0.1600 d2.loss_iou: 0.2572 d3.loss_cls: 0.2999 d3.loss_bbox: 0.1593 d3.loss_iou: 0.2564 d4.loss_cls: 0.2953 d4.loss_bbox: 0.1598 d4.loss_iou: 0.2569 enc_loss_cls: 0.3400 enc_loss_bbox: 0.1817 enc_loss_iou: 0.2905 dn_loss_cls: 0.0942 dn_loss_bbox: 0.1735 dn_loss_iou: 0.2270 d0.dn_loss_cls: 0.1788 d0.dn_loss_bbox: 0.3259 d0.dn_loss_iou: 0.3747 d1.dn_loss_cls: 0.1301 d1.dn_loss_bbox: 0.2060 d1.dn_loss_iou: 0.2584 d2.dn_loss_cls: 0.1119 d2.dn_loss_bbox: 0.1811 d2.dn_loss_iou: 0.2349 d3.dn_loss_cls: 0.1011 d3.dn_loss_bbox: 0.1735 d3.dn_loss_iou: 0.2284 d4.dn_loss_cls: 0.0950 d4.dn_loss_bbox: 0.1736 d4.dn_loss_iou: 0.2272 d1.loss_lmm_region: 0.1300 loss_lmm_image: 0.7404 2024/11/04 00:30:56 - mmengine - INFO - Iter(train) [123300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:22:49 time: 0.9624 data_time: 0.0189 memory: 20061 grad_norm: 22.5709 loss: 10.3226 loss_cls: 0.3240 loss_bbox: 0.1729 loss_iou: 0.3048 d0.loss_cls: 0.3535 d0.loss_bbox: 0.1881 d0.loss_iou: 0.3284 d1.loss_cls: 0.3390 d1.loss_bbox: 0.1759 d1.loss_iou: 0.3121 d2.loss_cls: 0.3275 d2.loss_bbox: 0.1751 d2.loss_iou: 0.3081 d3.loss_cls: 0.3282 d3.loss_bbox: 0.1730 d3.loss_iou: 0.3060 d4.loss_cls: 0.3279 d4.loss_bbox: 0.1724 d4.loss_iou: 0.3046 enc_loss_cls: 0.3791 enc_loss_bbox: 0.1953 enc_loss_iou: 0.3427 dn_loss_cls: 0.1009 dn_loss_bbox: 0.1823 dn_loss_iou: 0.2395 d0.dn_loss_cls: 0.1926 d0.dn_loss_bbox: 0.3333 d0.dn_loss_iou: 0.3852 d1.dn_loss_cls: 0.1368 d1.dn_loss_bbox: 0.2137 d1.dn_loss_iou: 0.2677 d2.dn_loss_cls: 0.1174 d2.dn_loss_bbox: 0.1905 d2.dn_loss_iou: 0.2472 d3.dn_loss_cls: 0.1065 d3.dn_loss_bbox: 0.1835 d3.dn_loss_iou: 0.2411 d4.dn_loss_cls: 0.1020 d4.dn_loss_bbox: 0.1824 d4.dn_loss_iou: 0.2395 d1.loss_lmm_region: 0.1135 loss_lmm_image: 0.7085 2024/11/04 00:32:33 - mmengine - INFO - Iter(train) [123400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:21:09 time: 0.9728 data_time: 0.0188 memory: 21353 grad_norm: 20.3467 loss: 8.7133 loss_cls: 0.2493 loss_bbox: 0.1406 loss_iou: 0.2437 d0.loss_cls: 0.2776 d0.loss_bbox: 0.1488 d0.loss_iou: 0.2572 d1.loss_cls: 0.2642 d1.loss_bbox: 0.1421 d1.loss_iou: 0.2462 d2.loss_cls: 0.2538 d2.loss_bbox: 0.1458 d2.loss_iou: 0.2447 d3.loss_cls: 0.2514 d3.loss_bbox: 0.1431 d3.loss_iou: 0.2451 d4.loss_cls: 0.2507 d4.loss_bbox: 0.1400 d4.loss_iou: 0.2435 enc_loss_cls: 0.2930 enc_loss_bbox: 0.1576 enc_loss_iou: 0.2727 dn_loss_cls: 0.0697 dn_loss_bbox: 0.1655 dn_loss_iou: 0.2251 d0.dn_loss_cls: 0.1547 d0.dn_loss_bbox: 0.3184 d0.dn_loss_iou: 0.3774 d1.dn_loss_cls: 0.0982 d1.dn_loss_bbox: 0.1936 d1.dn_loss_iou: 0.2552 d2.dn_loss_cls: 0.0837 d2.dn_loss_bbox: 0.1726 d2.dn_loss_iou: 0.2330 d3.dn_loss_cls: 0.0749 d3.dn_loss_bbox: 0.1665 d3.dn_loss_iou: 0.2259 d4.dn_loss_cls: 0.0698 d4.dn_loss_bbox: 0.1653 d4.dn_loss_iou: 0.2250 d1.loss_lmm_region: 0.1174 loss_lmm_image: 0.7105 2024/11/04 00:34:10 - mmengine - INFO - Iter(train) [123500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:19:29 time: 0.9729 data_time: 0.0188 memory: 20951 grad_norm: 17.5818 loss: 8.1606 loss_cls: 0.2483 loss_bbox: 0.1263 loss_iou: 0.2132 d0.loss_cls: 0.2696 d0.loss_bbox: 0.1373 d0.loss_iou: 0.2244 d1.loss_cls: 0.2572 d1.loss_bbox: 0.1287 d1.loss_iou: 0.2169 d2.loss_cls: 0.2511 d2.loss_bbox: 0.1302 d2.loss_iou: 0.2194 d3.loss_cls: 0.2541 d3.loss_bbox: 0.1257 d3.loss_iou: 0.2141 d4.loss_cls: 0.2481 d4.loss_bbox: 0.1251 d4.loss_iou: 0.2133 enc_loss_cls: 0.2817 enc_loss_bbox: 0.1436 enc_loss_iou: 0.2339 dn_loss_cls: 0.0697 dn_loss_bbox: 0.1587 dn_loss_iou: 0.2005 d0.dn_loss_cls: 0.1478 d0.dn_loss_bbox: 0.3160 d0.dn_loss_iou: 0.3442 d1.dn_loss_cls: 0.0948 d1.dn_loss_bbox: 0.1866 d1.dn_loss_iou: 0.2295 d2.dn_loss_cls: 0.0817 d2.dn_loss_bbox: 0.1664 d2.dn_loss_iou: 0.2088 d3.dn_loss_cls: 0.0725 d3.dn_loss_bbox: 0.1588 d3.dn_loss_iou: 0.2018 d4.dn_loss_cls: 0.0704 d4.dn_loss_bbox: 0.1585 d4.dn_loss_iou: 0.2007 d1.loss_lmm_region: 0.1125 loss_lmm_image: 0.7187 2024/11/04 00:35:48 - mmengine - INFO - Iter(train) [123600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:17:49 time: 0.9823 data_time: 0.0188 memory: 20335 grad_norm: 18.9620 loss: 8.5993 loss_cls: 0.2517 loss_bbox: 0.1146 loss_iou: 0.2404 d0.loss_cls: 0.2762 d0.loss_bbox: 0.1356 d0.loss_iou: 0.2640 d1.loss_cls: 0.2691 d1.loss_bbox: 0.1218 d1.loss_iou: 0.2478 d2.loss_cls: 0.2597 d2.loss_bbox: 0.1174 d2.loss_iou: 0.2439 d3.loss_cls: 0.2599 d3.loss_bbox: 0.1144 d3.loss_iou: 0.2402 d4.loss_cls: 0.2529 d4.loss_bbox: 0.1143 d4.loss_iou: 0.2408 enc_loss_cls: 0.2961 enc_loss_bbox: 0.1498 enc_loss_iou: 0.2847 dn_loss_cls: 0.0748 dn_loss_bbox: 0.1590 dn_loss_iou: 0.2254 d0.dn_loss_cls: 0.1563 d0.dn_loss_bbox: 0.3001 d0.dn_loss_iou: 0.3781 d1.dn_loss_cls: 0.1032 d1.dn_loss_bbox: 0.1898 d1.dn_loss_iou: 0.2595 d2.dn_loss_cls: 0.0867 d2.dn_loss_bbox: 0.1656 d2.dn_loss_iou: 0.2338 d3.dn_loss_cls: 0.0805 d3.dn_loss_bbox: 0.1602 d3.dn_loss_iou: 0.2268 d4.dn_loss_cls: 0.0755 d4.dn_loss_bbox: 0.1591 d4.dn_loss_iou: 0.2254 d1.loss_lmm_region: 0.1178 loss_lmm_image: 0.7265 2024/11/04 00:37:25 - mmengine - INFO - Iter(train) [123700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:16:09 time: 0.9726 data_time: 0.0190 memory: 21065 grad_norm: 32.2165 loss: 9.3646 loss_cls: 0.3182 loss_bbox: 0.1311 loss_iou: 0.2762 d0.loss_cls: 0.3482 d0.loss_bbox: 0.1511 d0.loss_iou: 0.2995 d1.loss_cls: 0.3336 d1.loss_bbox: 0.1400 d1.loss_iou: 0.2877 d2.loss_cls: 0.3286 d2.loss_bbox: 0.1329 d2.loss_iou: 0.2785 d3.loss_cls: 0.3201 d3.loss_bbox: 0.1322 d3.loss_iou: 0.2805 d4.loss_cls: 0.3177 d4.loss_bbox: 0.1320 d4.loss_iou: 0.2789 enc_loss_cls: 0.3719 enc_loss_bbox: 0.1583 enc_loss_iou: 0.3160 dn_loss_cls: 0.0856 dn_loss_bbox: 0.1491 dn_loss_iou: 0.2122 d0.dn_loss_cls: 0.1729 d0.dn_loss_bbox: 0.2825 d0.dn_loss_iou: 0.3546 d1.dn_loss_cls: 0.1176 d1.dn_loss_bbox: 0.1755 d1.dn_loss_iou: 0.2409 d2.dn_loss_cls: 0.1016 d2.dn_loss_bbox: 0.1560 d2.dn_loss_iou: 0.2191 d3.dn_loss_cls: 0.0920 d3.dn_loss_bbox: 0.1506 d3.dn_loss_iou: 0.2135 d4.dn_loss_cls: 0.0876 d4.dn_loss_bbox: 0.1491 d4.dn_loss_iou: 0.2122 d1.loss_lmm_region: 0.1295 loss_lmm_image: 0.7295 2024/11/04 00:39:02 - mmengine - INFO - Iter(train) [123800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:14:29 time: 0.9686 data_time: 0.0190 memory: 19546 grad_norm: 19.8475 loss: 8.5287 loss_cls: 0.2824 loss_bbox: 0.1148 loss_iou: 0.2595 d0.loss_cls: 0.3186 d0.loss_bbox: 0.1331 d0.loss_iou: 0.2858 d1.loss_cls: 0.2989 d1.loss_bbox: 0.1241 d1.loss_iou: 0.2746 d2.loss_cls: 0.2906 d2.loss_bbox: 0.1192 d2.loss_iou: 0.2650 d3.loss_cls: 0.2898 d3.loss_bbox: 0.1134 d3.loss_iou: 0.2584 d4.loss_cls: 0.2841 d4.loss_bbox: 0.1139 d4.loss_iou: 0.2582 enc_loss_cls: 0.3477 enc_loss_bbox: 0.1432 enc_loss_iou: 0.2995 dn_loss_cls: 0.0613 dn_loss_bbox: 0.1286 dn_loss_iou: 0.2022 d0.dn_loss_cls: 0.1407 d0.dn_loss_bbox: 0.2551 d0.dn_loss_iou: 0.3402 d1.dn_loss_cls: 0.0864 d1.dn_loss_bbox: 0.1571 d1.dn_loss_iou: 0.2325 d2.dn_loss_cls: 0.0714 d2.dn_loss_bbox: 0.1348 d2.dn_loss_iou: 0.2097 d3.dn_loss_cls: 0.0639 d3.dn_loss_bbox: 0.1295 d3.dn_loss_iou: 0.2030 d4.dn_loss_cls: 0.0618 d4.dn_loss_bbox: 0.1286 d4.dn_loss_iou: 0.2020 d1.loss_lmm_region: 0.1082 loss_lmm_image: 0.7369 2024/11/04 00:40:40 - mmengine - INFO - Iter(train) [123900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:12:49 time: 0.9793 data_time: 0.0189 memory: 21024 grad_norm: 18.4784 loss: 8.8829 loss_cls: 0.2782 loss_bbox: 0.1359 loss_iou: 0.2542 d0.loss_cls: 0.3108 d0.loss_bbox: 0.1540 d0.loss_iou: 0.2707 d1.loss_cls: 0.2986 d1.loss_bbox: 0.1403 d1.loss_iou: 0.2603 d2.loss_cls: 0.2906 d2.loss_bbox: 0.1371 d2.loss_iou: 0.2549 d3.loss_cls: 0.2854 d3.loss_bbox: 0.1364 d3.loss_iou: 0.2538 d4.loss_cls: 0.2781 d4.loss_bbox: 0.1374 d4.loss_iou: 0.2543 enc_loss_cls: 0.3290 enc_loss_bbox: 0.1618 enc_loss_iou: 0.2885 dn_loss_cls: 0.0721 dn_loss_bbox: 0.1497 dn_loss_iou: 0.2097 d0.dn_loss_cls: 0.1651 d0.dn_loss_bbox: 0.3066 d0.dn_loss_iou: 0.3613 d1.dn_loss_cls: 0.1098 d1.dn_loss_bbox: 0.1872 d1.dn_loss_iou: 0.2456 d2.dn_loss_cls: 0.0908 d2.dn_loss_bbox: 0.1597 d2.dn_loss_iou: 0.2191 d3.dn_loss_cls: 0.0792 d3.dn_loss_bbox: 0.1520 d3.dn_loss_iou: 0.2109 d4.dn_loss_cls: 0.0728 d4.dn_loss_bbox: 0.1498 d4.dn_loss_iou: 0.2098 d1.loss_lmm_region: 0.1155 loss_lmm_image: 0.7058 2024/11/04 00:42:17 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 00:42:17 - mmengine - INFO - Iter(train) [124000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:11:09 time: 0.9661 data_time: 0.0191 memory: 20439 grad_norm: 18.8981 loss: 8.1094 loss_cls: 0.2623 loss_bbox: 0.1165 loss_iou: 0.1974 d0.loss_cls: 0.2997 d0.loss_bbox: 0.1300 d0.loss_iou: 0.2156 d1.loss_cls: 0.2816 d1.loss_bbox: 0.1240 d1.loss_iou: 0.2068 d2.loss_cls: 0.2730 d2.loss_bbox: 0.1190 d2.loss_iou: 0.2006 d3.loss_cls: 0.2683 d3.loss_bbox: 0.1178 d3.loss_iou: 0.1979 d4.loss_cls: 0.2636 d4.loss_bbox: 0.1163 d4.loss_iou: 0.1968 enc_loss_cls: 0.3138 enc_loss_bbox: 0.1399 enc_loss_iou: 0.2345 dn_loss_cls: 0.0836 dn_loss_bbox: 0.1536 dn_loss_iou: 0.1812 d0.dn_loss_cls: 0.1634 d0.dn_loss_bbox: 0.2915 d0.dn_loss_iou: 0.3153 d1.dn_loss_cls: 0.1114 d1.dn_loss_bbox: 0.1810 d1.dn_loss_iou: 0.2110 d2.dn_loss_cls: 0.0971 d2.dn_loss_bbox: 0.1609 d2.dn_loss_iou: 0.1895 d3.dn_loss_cls: 0.0885 d3.dn_loss_bbox: 0.1551 d3.dn_loss_iou: 0.1826 d4.dn_loss_cls: 0.0842 d4.dn_loss_bbox: 0.1537 d4.dn_loss_iou: 0.1812 d1.loss_lmm_region: 0.1147 loss_lmm_image: 0.7340 2024/11/04 00:43:54 - mmengine - INFO - Iter(train) [124100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:09:29 time: 0.9647 data_time: 0.0189 memory: 20635 grad_norm: 21.6658 loss: 8.8854 loss_cls: 0.2891 loss_bbox: 0.1311 loss_iou: 0.2367 d0.loss_cls: 0.3060 d0.loss_bbox: 0.1478 d0.loss_iou: 0.2573 d1.loss_cls: 0.2970 d1.loss_bbox: 0.1377 d1.loss_iou: 0.2458 d2.loss_cls: 0.2955 d2.loss_bbox: 0.1353 d2.loss_iou: 0.2391 d3.loss_cls: 0.2939 d3.loss_bbox: 0.1296 d3.loss_iou: 0.2361 d4.loss_cls: 0.2896 d4.loss_bbox: 0.1298 d4.loss_iou: 0.2368 enc_loss_cls: 0.3256 enc_loss_bbox: 0.1531 enc_loss_iou: 0.2724 dn_loss_cls: 0.0708 dn_loss_bbox: 0.1625 dn_loss_iou: 0.2165 d0.dn_loss_cls: 0.1535 d0.dn_loss_bbox: 0.3382 d0.dn_loss_iou: 0.3740 d1.dn_loss_cls: 0.0972 d1.dn_loss_bbox: 0.2021 d1.dn_loss_iou: 0.2506 d2.dn_loss_cls: 0.0843 d2.dn_loss_bbox: 0.1729 d2.dn_loss_iou: 0.2261 d3.dn_loss_cls: 0.0762 d3.dn_loss_bbox: 0.1647 d3.dn_loss_iou: 0.2184 d4.dn_loss_cls: 0.0715 d4.dn_loss_bbox: 0.1626 d4.dn_loss_iou: 0.2165 d1.loss_lmm_region: 0.1070 loss_lmm_image: 0.7347 2024/11/04 00:45:32 - mmengine - INFO - Iter(train) [124200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:07:49 time: 0.9706 data_time: 0.0190 memory: 20530 grad_norm: 18.8707 loss: 8.7395 loss_cls: 0.2839 loss_bbox: 0.1275 loss_iou: 0.2637 d0.loss_cls: 0.3221 d0.loss_bbox: 0.1450 d0.loss_iou: 0.2864 d1.loss_cls: 0.3003 d1.loss_bbox: 0.1377 d1.loss_iou: 0.2748 d2.loss_cls: 0.2965 d2.loss_bbox: 0.1298 d2.loss_iou: 0.2651 d3.loss_cls: 0.2917 d3.loss_bbox: 0.1269 d3.loss_iou: 0.2621 d4.loss_cls: 0.2856 d4.loss_bbox: 0.1264 d4.loss_iou: 0.2635 enc_loss_cls: 0.3422 enc_loss_bbox: 0.1582 enc_loss_iou: 0.3073 dn_loss_cls: 0.0655 dn_loss_bbox: 0.1327 dn_loss_iou: 0.2083 d0.dn_loss_cls: 0.1424 d0.dn_loss_bbox: 0.2640 d0.dn_loss_iou: 0.3457 d1.dn_loss_cls: 0.0902 d1.dn_loss_bbox: 0.1618 d1.dn_loss_iou: 0.2352 d2.dn_loss_cls: 0.0768 d2.dn_loss_bbox: 0.1396 d2.dn_loss_iou: 0.2150 d3.dn_loss_cls: 0.0701 d3.dn_loss_bbox: 0.1342 d3.dn_loss_iou: 0.2094 d4.dn_loss_cls: 0.0665 d4.dn_loss_bbox: 0.1327 d4.dn_loss_iou: 0.2083 d1.loss_lmm_region: 0.1035 loss_lmm_image: 0.7411 2024/11/04 00:47:09 - mmengine - INFO - Iter(train) [124300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:06:09 time: 0.9764 data_time: 0.0190 memory: 20231 grad_norm: 25.2637 loss: 8.0585 loss_cls: 0.2561 loss_bbox: 0.1125 loss_iou: 0.2168 d0.loss_cls: 0.2815 d0.loss_bbox: 0.1265 d0.loss_iou: 0.2399 d1.loss_cls: 0.2618 d1.loss_bbox: 0.1224 d1.loss_iou: 0.2292 d2.loss_cls: 0.2621 d2.loss_bbox: 0.1143 d2.loss_iou: 0.2205 d3.loss_cls: 0.2585 d3.loss_bbox: 0.1139 d3.loss_iou: 0.2174 d4.loss_cls: 0.2544 d4.loss_bbox: 0.1146 d4.loss_iou: 0.2183 enc_loss_cls: 0.2968 enc_loss_bbox: 0.1352 enc_loss_iou: 0.2534 dn_loss_cls: 0.0683 dn_loss_bbox: 0.1498 dn_loss_iou: 0.1936 d0.dn_loss_cls: 0.1381 d0.dn_loss_bbox: 0.2772 d0.dn_loss_iou: 0.3230 d1.dn_loss_cls: 0.0906 d1.dn_loss_bbox: 0.1771 d1.dn_loss_iou: 0.2248 d2.dn_loss_cls: 0.0788 d2.dn_loss_bbox: 0.1573 d2.dn_loss_iou: 0.2020 d3.dn_loss_cls: 0.0721 d3.dn_loss_bbox: 0.1500 d3.dn_loss_iou: 0.1949 d4.dn_loss_cls: 0.0674 d4.dn_loss_bbox: 0.1499 d4.dn_loss_iou: 0.1935 d1.loss_lmm_region: 0.1020 loss_lmm_image: 0.7416 2024/11/04 00:48:47 - mmengine - INFO - Iter(train) [124400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:04:29 time: 0.9812 data_time: 0.0189 memory: 21655 grad_norm: 19.2271 loss: 9.7119 loss_cls: 0.2966 loss_bbox: 0.1602 loss_iou: 0.3212 d0.loss_cls: 0.3351 d0.loss_bbox: 0.1770 d0.loss_iou: 0.3389 d1.loss_cls: 0.3173 d1.loss_bbox: 0.1645 d1.loss_iou: 0.3248 d2.loss_cls: 0.3061 d2.loss_bbox: 0.1618 d2.loss_iou: 0.3222 d3.loss_cls: 0.3037 d3.loss_bbox: 0.1596 d3.loss_iou: 0.3209 d4.loss_cls: 0.2998 d4.loss_bbox: 0.1594 d4.loss_iou: 0.3195 enc_loss_cls: 0.3568 enc_loss_bbox: 0.1896 enc_loss_iou: 0.3559 dn_loss_cls: 0.0749 dn_loss_bbox: 0.1554 dn_loss_iou: 0.2320 d0.dn_loss_cls: 0.1587 d0.dn_loss_bbox: 0.2848 d0.dn_loss_iou: 0.3676 d1.dn_loss_cls: 0.1033 d1.dn_loss_bbox: 0.1838 d1.dn_loss_iou: 0.2618 d2.dn_loss_cls: 0.0881 d2.dn_loss_bbox: 0.1632 d2.dn_loss_iou: 0.2394 d3.dn_loss_cls: 0.0800 d3.dn_loss_bbox: 0.1561 d3.dn_loss_iou: 0.2330 d4.dn_loss_cls: 0.0763 d4.dn_loss_bbox: 0.1554 d4.dn_loss_iou: 0.2321 d1.loss_lmm_region: 0.1114 loss_lmm_image: 0.6639 2024/11/04 00:50:24 - mmengine - INFO - Iter(train) [124500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:02:49 time: 0.9721 data_time: 0.0190 memory: 21482 grad_norm: 22.6184 loss: 8.9262 loss_cls: 0.2994 loss_bbox: 0.1326 loss_iou: 0.2695 d0.loss_cls: 0.3356 d0.loss_bbox: 0.1478 d0.loss_iou: 0.2851 d1.loss_cls: 0.3233 d1.loss_bbox: 0.1374 d1.loss_iou: 0.2722 d2.loss_cls: 0.3148 d2.loss_bbox: 0.1331 d2.loss_iou: 0.2686 d3.loss_cls: 0.3114 d3.loss_bbox: 0.1315 d3.loss_iou: 0.2665 d4.loss_cls: 0.3008 d4.loss_bbox: 0.1338 d4.loss_iou: 0.2695 enc_loss_cls: 0.3547 enc_loss_bbox: 0.1563 enc_loss_iou: 0.3026 dn_loss_cls: 0.0749 dn_loss_bbox: 0.1344 dn_loss_iou: 0.2079 d0.dn_loss_cls: 0.1562 d0.dn_loss_bbox: 0.2588 d0.dn_loss_iou: 0.3434 d1.dn_loss_cls: 0.1072 d1.dn_loss_bbox: 0.1652 d1.dn_loss_iou: 0.2386 d2.dn_loss_cls: 0.0895 d2.dn_loss_bbox: 0.1430 d2.dn_loss_iou: 0.2171 d3.dn_loss_cls: 0.0805 d3.dn_loss_bbox: 0.1360 d3.dn_loss_iou: 0.2099 d4.dn_loss_cls: 0.0757 d4.dn_loss_bbox: 0.1345 d4.dn_loss_iou: 0.2080 d1.loss_lmm_region: 0.1079 loss_lmm_image: 0.6911 2024/11/04 00:52:01 - mmengine - INFO - Iter(train) [124600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:01:09 time: 0.9807 data_time: 0.0188 memory: 20820 grad_norm: 19.4499 loss: 8.2987 loss_cls: 0.2607 loss_bbox: 0.1294 loss_iou: 0.2612 d0.loss_cls: 0.2969 d0.loss_bbox: 0.1360 d0.loss_iou: 0.2721 d1.loss_cls: 0.2766 d1.loss_bbox: 0.1344 d1.loss_iou: 0.2662 d2.loss_cls: 0.2722 d2.loss_bbox: 0.1306 d2.loss_iou: 0.2611 d3.loss_cls: 0.2719 d3.loss_bbox: 0.1268 d3.loss_iou: 0.2604 d4.loss_cls: 0.2622 d4.loss_bbox: 0.1287 d4.loss_iou: 0.2604 enc_loss_cls: 0.3088 enc_loss_bbox: 0.1515 enc_loss_iou: 0.2988 dn_loss_cls: 0.0677 dn_loss_bbox: 0.1199 dn_loss_iou: 0.1978 d0.dn_loss_cls: 0.1451 d0.dn_loss_bbox: 0.2303 d0.dn_loss_iou: 0.3282 d1.dn_loss_cls: 0.0953 d1.dn_loss_bbox: 0.1414 d1.dn_loss_iou: 0.2271 d2.dn_loss_cls: 0.0796 d2.dn_loss_bbox: 0.1241 d2.dn_loss_iou: 0.2054 d3.dn_loss_cls: 0.0716 d3.dn_loss_bbox: 0.1204 d3.dn_loss_iou: 0.1993 d4.dn_loss_cls: 0.0682 d4.dn_loss_bbox: 0.1199 d4.dn_loss_iou: 0.1978 d1.loss_lmm_region: 0.0927 loss_lmm_image: 0.6999 2024/11/04 00:53:38 - mmengine - INFO - Iter(train) [124700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:59:29 time: 0.9739 data_time: 0.0191 memory: 20773 grad_norm: 19.3696 loss: 10.4472 loss_cls: 0.3169 loss_bbox: 0.1741 loss_iou: 0.2948 d0.loss_cls: 0.3500 d0.loss_bbox: 0.1852 d0.loss_iou: 0.3108 d1.loss_cls: 0.3335 d1.loss_bbox: 0.1749 d1.loss_iou: 0.3014 d2.loss_cls: 0.3285 d2.loss_bbox: 0.1744 d2.loss_iou: 0.2953 d3.loss_cls: 0.3256 d3.loss_bbox: 0.1731 d3.loss_iou: 0.2951 d4.loss_cls: 0.3199 d4.loss_bbox: 0.1730 d4.loss_iou: 0.2942 enc_loss_cls: 0.3637 enc_loss_bbox: 0.2030 enc_loss_iou: 0.3317 dn_loss_cls: 0.1160 dn_loss_bbox: 0.1921 dn_loss_iou: 0.2485 d0.dn_loss_cls: 0.2059 d0.dn_loss_bbox: 0.3510 d0.dn_loss_iou: 0.4027 d1.dn_loss_cls: 0.1501 d1.dn_loss_bbox: 0.2276 d1.dn_loss_iou: 0.2813 d2.dn_loss_cls: 0.1323 d2.dn_loss_bbox: 0.1971 d2.dn_loss_iou: 0.2562 d3.dn_loss_cls: 0.1235 d3.dn_loss_bbox: 0.1934 d3.dn_loss_iou: 0.2502 d4.dn_loss_cls: 0.1170 d4.dn_loss_bbox: 0.1922 d4.dn_loss_iou: 0.2485 d1.loss_lmm_region: 0.1446 loss_lmm_image: 0.6977 2024/11/04 00:55:15 - mmengine - INFO - Iter(train) [124800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:57:49 time: 0.9657 data_time: 0.0191 memory: 21048 grad_norm: 22.1574 loss: 8.8401 loss_cls: 0.2903 loss_bbox: 0.1287 loss_iou: 0.2667 d0.loss_cls: 0.3200 d0.loss_bbox: 0.1458 d0.loss_iou: 0.2868 d1.loss_cls: 0.3024 d1.loss_bbox: 0.1433 d1.loss_iou: 0.2790 d2.loss_cls: 0.2995 d2.loss_bbox: 0.1317 d2.loss_iou: 0.2734 d3.loss_cls: 0.2897 d3.loss_bbox: 0.1343 d3.loss_iou: 0.2690 d4.loss_cls: 0.2928 d4.loss_bbox: 0.1288 d4.loss_iou: 0.2665 enc_loss_cls: 0.3368 enc_loss_bbox: 0.1608 enc_loss_iou: 0.3121 dn_loss_cls: 0.0761 dn_loss_bbox: 0.1407 dn_loss_iou: 0.1936 d0.dn_loss_cls: 0.1610 d0.dn_loss_bbox: 0.2910 d0.dn_loss_iou: 0.3406 d1.dn_loss_cls: 0.1093 d1.dn_loss_bbox: 0.1708 d1.dn_loss_iou: 0.2248 d2.dn_loss_cls: 0.0918 d2.dn_loss_bbox: 0.1502 d2.dn_loss_iou: 0.2025 d3.dn_loss_cls: 0.0836 d3.dn_loss_bbox: 0.1418 d3.dn_loss_iou: 0.1950 d4.dn_loss_cls: 0.0767 d4.dn_loss_bbox: 0.1407 d4.dn_loss_iou: 0.1936 d1.loss_lmm_region: 0.1006 loss_lmm_image: 0.6974 2024/11/04 00:56:52 - mmengine - INFO - Iter(train) [124900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:56:09 time: 0.9675 data_time: 0.0189 memory: 21252 grad_norm: 19.2701 loss: 7.4300 loss_cls: 0.2261 loss_bbox: 0.0930 loss_iou: 0.1835 d0.loss_cls: 0.2415 d0.loss_bbox: 0.1071 d0.loss_iou: 0.2020 d1.loss_cls: 0.2346 d1.loss_bbox: 0.0955 d1.loss_iou: 0.1883 d2.loss_cls: 0.2259 d2.loss_bbox: 0.0980 d2.loss_iou: 0.1867 d3.loss_cls: 0.2235 d3.loss_bbox: 0.0973 d3.loss_iou: 0.1862 d4.loss_cls: 0.2268 d4.loss_bbox: 0.0929 d4.loss_iou: 0.1830 enc_loss_cls: 0.2550 enc_loss_bbox: 0.1156 enc_loss_iou: 0.2156 dn_loss_cls: 0.0804 dn_loss_bbox: 0.1464 dn_loss_iou: 0.1920 d0.dn_loss_cls: 0.1452 d0.dn_loss_bbox: 0.2783 d0.dn_loss_iou: 0.3254 d1.dn_loss_cls: 0.1027 d1.dn_loss_bbox: 0.1699 d1.dn_loss_iou: 0.2200 d2.dn_loss_cls: 0.0900 d2.dn_loss_bbox: 0.1505 d2.dn_loss_iou: 0.1983 d3.dn_loss_cls: 0.0848 d3.dn_loss_bbox: 0.1477 d3.dn_loss_iou: 0.1933 d4.dn_loss_cls: 0.0819 d4.dn_loss_bbox: 0.1464 d4.dn_loss_iou: 0.1920 d1.loss_lmm_region: 0.1076 loss_lmm_image: 0.6991 2024/11/04 00:58:30 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 00:58:30 - mmengine - INFO - Iter(train) [125000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:54:30 time: 0.9770 data_time: 0.0190 memory: 21138 grad_norm: 20.7137 loss: 8.3411 loss_cls: 0.2438 loss_bbox: 0.1171 loss_iou: 0.2173 d0.loss_cls: 0.2690 d0.loss_bbox: 0.1327 d0.loss_iou: 0.2354 d1.loss_cls: 0.2591 d1.loss_bbox: 0.1252 d1.loss_iou: 0.2227 d2.loss_cls: 0.2492 d2.loss_bbox: 0.1193 d2.loss_iou: 0.2184 d3.loss_cls: 0.2468 d3.loss_bbox: 0.1168 d3.loss_iou: 0.2159 d4.loss_cls: 0.2446 d4.loss_bbox: 0.1168 d4.loss_iou: 0.2174 enc_loss_cls: 0.2905 enc_loss_bbox: 0.1433 enc_loss_iou: 0.2492 dn_loss_cls: 0.0725 dn_loss_bbox: 0.1702 dn_loss_iou: 0.2127 d0.dn_loss_cls: 0.1539 d0.dn_loss_bbox: 0.3266 d0.dn_loss_iou: 0.3546 d1.dn_loss_cls: 0.1016 d1.dn_loss_bbox: 0.2006 d1.dn_loss_iou: 0.2439 d2.dn_loss_cls: 0.0874 d2.dn_loss_bbox: 0.1813 d2.dn_loss_iou: 0.2220 d3.dn_loss_cls: 0.0789 d3.dn_loss_bbox: 0.1731 d3.dn_loss_iou: 0.2145 d4.dn_loss_cls: 0.0738 d4.dn_loss_bbox: 0.1702 d4.dn_loss_iou: 0.2126 d1.loss_lmm_region: 0.1105 loss_lmm_image: 0.7297 2024/11/04 01:00:07 - mmengine - INFO - Iter(train) [125100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:52:50 time: 0.9672 data_time: 0.0189 memory: 20237 grad_norm: 21.7513 loss: 9.1649 loss_cls: 0.3425 loss_bbox: 0.1364 loss_iou: 0.2842 d0.loss_cls: 0.3877 d0.loss_bbox: 0.1503 d0.loss_iou: 0.3039 d1.loss_cls: 0.3661 d1.loss_bbox: 0.1408 d1.loss_iou: 0.2901 d2.loss_cls: 0.3569 d2.loss_bbox: 0.1373 d2.loss_iou: 0.2853 d3.loss_cls: 0.3488 d3.loss_bbox: 0.1375 d3.loss_iou: 0.2832 d4.loss_cls: 0.3413 d4.loss_bbox: 0.1377 d4.loss_iou: 0.2832 enc_loss_cls: 0.4024 enc_loss_bbox: 0.1623 enc_loss_iou: 0.3192 dn_loss_cls: 0.0694 dn_loss_bbox: 0.1211 dn_loss_iou: 0.1873 d0.dn_loss_cls: 0.1486 d0.dn_loss_bbox: 0.2394 d0.dn_loss_iou: 0.3155 d1.dn_loss_cls: 0.0984 d1.dn_loss_bbox: 0.1472 d1.dn_loss_iou: 0.2152 d2.dn_loss_cls: 0.0826 d2.dn_loss_bbox: 0.1296 d2.dn_loss_iou: 0.1956 d3.dn_loss_cls: 0.0742 d3.dn_loss_bbox: 0.1228 d3.dn_loss_iou: 0.1884 d4.dn_loss_cls: 0.0709 d4.dn_loss_bbox: 0.1212 d4.dn_loss_iou: 0.1874 d1.loss_lmm_region: 0.1034 loss_lmm_image: 0.7494 2024/11/04 01:01:44 - mmengine - INFO - Iter(train) [125200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:51:10 time: 0.9650 data_time: 0.0189 memory: 20643 grad_norm: 20.8512 loss: 7.7006 loss_cls: 0.2342 loss_bbox: 0.1074 loss_iou: 0.2088 d0.loss_cls: 0.2623 d0.loss_bbox: 0.1292 d0.loss_iou: 0.2320 d1.loss_cls: 0.2434 d1.loss_bbox: 0.1202 d1.loss_iou: 0.2197 d2.loss_cls: 0.2400 d2.loss_bbox: 0.1157 d2.loss_iou: 0.2139 d3.loss_cls: 0.2368 d3.loss_bbox: 0.1085 d3.loss_iou: 0.2098 d4.loss_cls: 0.2360 d4.loss_bbox: 0.1076 d4.loss_iou: 0.2091 enc_loss_cls: 0.2896 enc_loss_bbox: 0.1344 enc_loss_iou: 0.2466 dn_loss_cls: 0.0604 dn_loss_bbox: 0.1377 dn_loss_iou: 0.1911 d0.dn_loss_cls: 0.1358 d0.dn_loss_bbox: 0.2731 d0.dn_loss_iou: 0.3277 d1.dn_loss_cls: 0.0858 d1.dn_loss_bbox: 0.1690 d1.dn_loss_iou: 0.2214 d2.dn_loss_cls: 0.0725 d2.dn_loss_bbox: 0.1460 d2.dn_loss_iou: 0.1994 d3.dn_loss_cls: 0.0640 d3.dn_loss_bbox: 0.1393 d3.dn_loss_iou: 0.1924 d4.dn_loss_cls: 0.0616 d4.dn_loss_bbox: 0.1378 d4.dn_loss_iou: 0.1912 d1.loss_lmm_region: 0.0867 loss_lmm_image: 0.7024 2024/11/04 01:03:22 - mmengine - INFO - Iter(train) [125300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:49:30 time: 0.9625 data_time: 0.0189 memory: 21089 grad_norm: 21.9442 loss: 9.2688 loss_cls: 0.2888 loss_bbox: 0.1491 loss_iou: 0.2492 d0.loss_cls: 0.3248 d0.loss_bbox: 0.1649 d0.loss_iou: 0.2662 d1.loss_cls: 0.3057 d1.loss_bbox: 0.1574 d1.loss_iou: 0.2582 d2.loss_cls: 0.2988 d2.loss_bbox: 0.1558 d2.loss_iou: 0.2517 d3.loss_cls: 0.2960 d3.loss_bbox: 0.1496 d3.loss_iou: 0.2480 d4.loss_cls: 0.2919 d4.loss_bbox: 0.1494 d4.loss_iou: 0.2498 enc_loss_cls: 0.3484 enc_loss_bbox: 0.1757 enc_loss_iou: 0.2821 dn_loss_cls: 0.0715 dn_loss_bbox: 0.1831 dn_loss_iou: 0.2151 d0.dn_loss_cls: 0.1730 d0.dn_loss_bbox: 0.3474 d0.dn_loss_iou: 0.3618 d1.dn_loss_cls: 0.1106 d1.dn_loss_bbox: 0.2211 d1.dn_loss_iou: 0.2472 d2.dn_loss_cls: 0.0924 d2.dn_loss_bbox: 0.1912 d2.dn_loss_iou: 0.2233 d3.dn_loss_cls: 0.0781 d3.dn_loss_bbox: 0.1846 d3.dn_loss_iou: 0.2168 d4.dn_loss_cls: 0.0725 d4.dn_loss_bbox: 0.1832 d4.dn_loss_iou: 0.2151 d1.loss_lmm_region: 0.1420 loss_lmm_image: 0.6775 2024/11/04 01:04:58 - mmengine - INFO - Iter(train) [125400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:47:50 time: 0.9691 data_time: 0.0192 memory: 20254 grad_norm: 20.4973 loss: 8.1869 loss_cls: 0.2567 loss_bbox: 0.1077 loss_iou: 0.2211 d0.loss_cls: 0.2756 d0.loss_bbox: 0.1214 d0.loss_iou: 0.2371 d1.loss_cls: 0.2673 d1.loss_bbox: 0.1136 d1.loss_iou: 0.2279 d2.loss_cls: 0.2608 d2.loss_bbox: 0.1103 d2.loss_iou: 0.2249 d3.loss_cls: 0.2594 d3.loss_bbox: 0.1087 d3.loss_iou: 0.2232 d4.loss_cls: 0.2575 d4.loss_bbox: 0.1083 d4.loss_iou: 0.2210 enc_loss_cls: 0.2984 enc_loss_bbox: 0.1367 enc_loss_iou: 0.2541 dn_loss_cls: 0.0617 dn_loss_bbox: 0.1458 dn_loss_iou: 0.2110 d0.dn_loss_cls: 0.1414 d0.dn_loss_bbox: 0.3047 d0.dn_loss_iou: 0.3586 d1.dn_loss_cls: 0.0927 d1.dn_loss_bbox: 0.1817 d1.dn_loss_iou: 0.2447 d2.dn_loss_cls: 0.0747 d2.dn_loss_bbox: 0.1541 d2.dn_loss_iou: 0.2188 d3.dn_loss_cls: 0.0654 d3.dn_loss_bbox: 0.1470 d3.dn_loss_iou: 0.2129 d4.dn_loss_cls: 0.0617 d4.dn_loss_bbox: 0.1457 d4.dn_loss_iou: 0.2110 d1.loss_lmm_region: 0.0932 loss_lmm_image: 0.7684 2024/11/04 01:06:36 - mmengine - INFO - Iter(train) [125500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:46:10 time: 0.9808 data_time: 0.0189 memory: 21523 grad_norm: 23.5863 loss: 9.8004 loss_cls: 0.2993 loss_bbox: 0.1664 loss_iou: 0.3099 d0.loss_cls: 0.3387 d0.loss_bbox: 0.1808 d0.loss_iou: 0.3310 d1.loss_cls: 0.3190 d1.loss_bbox: 0.1728 d1.loss_iou: 0.3212 d2.loss_cls: 0.3145 d2.loss_bbox: 0.1661 d2.loss_iou: 0.3114 d3.loss_cls: 0.3119 d3.loss_bbox: 0.1635 d3.loss_iou: 0.3079 d4.loss_cls: 0.3026 d4.loss_bbox: 0.1667 d4.loss_iou: 0.3102 enc_loss_cls: 0.3621 enc_loss_bbox: 0.1993 enc_loss_iou: 0.3518 dn_loss_cls: 0.0796 dn_loss_bbox: 0.1639 dn_loss_iou: 0.2165 d0.dn_loss_cls: 0.1647 d0.dn_loss_bbox: 0.3108 d0.dn_loss_iou: 0.3573 d1.dn_loss_cls: 0.1086 d1.dn_loss_bbox: 0.1944 d1.dn_loss_iou: 0.2466 d2.dn_loss_cls: 0.0918 d2.dn_loss_bbox: 0.1701 d2.dn_loss_iou: 0.2246 d3.dn_loss_cls: 0.0848 d3.dn_loss_bbox: 0.1642 d3.dn_loss_iou: 0.2175 d4.dn_loss_cls: 0.0800 d4.dn_loss_bbox: 0.1639 d4.dn_loss_iou: 0.2165 d1.loss_lmm_region: 0.1078 loss_lmm_image: 0.7299 2024/11/04 01:08:14 - mmengine - INFO - Iter(train) [125600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:44:30 time: 0.9808 data_time: 0.0189 memory: 21612 grad_norm: 33.2308 loss: 8.3121 loss_cls: 0.2977 loss_bbox: 0.1084 loss_iou: 0.2297 d0.loss_cls: 0.3257 d0.loss_bbox: 0.1138 d0.loss_iou: 0.2383 d1.loss_cls: 0.3041 d1.loss_bbox: 0.1102 d1.loss_iou: 0.2354 d2.loss_cls: 0.2971 d2.loss_bbox: 0.1077 d2.loss_iou: 0.2325 d3.loss_cls: 0.2936 d3.loss_bbox: 0.1087 d3.loss_iou: 0.2321 d4.loss_cls: 0.2930 d4.loss_bbox: 0.1099 d4.loss_iou: 0.2325 enc_loss_cls: 0.3278 enc_loss_bbox: 0.1315 enc_loss_iou: 0.2652 dn_loss_cls: 0.0953 dn_loss_bbox: 0.1239 dn_loss_iou: 0.1839 d0.dn_loss_cls: 0.1613 d0.dn_loss_bbox: 0.2663 d0.dn_loss_iou: 0.3323 d1.dn_loss_cls: 0.1154 d1.dn_loss_bbox: 0.1519 d1.dn_loss_iou: 0.2151 d2.dn_loss_cls: 0.1011 d2.dn_loss_bbox: 0.1302 d2.dn_loss_iou: 0.1918 d3.dn_loss_cls: 0.0934 d3.dn_loss_bbox: 0.1247 d3.dn_loss_iou: 0.1850 d4.dn_loss_cls: 0.0913 d4.dn_loss_bbox: 0.1239 d4.dn_loss_iou: 0.1838 d1.loss_lmm_region: 0.1036 loss_lmm_image: 0.7427 2024/11/04 01:09:52 - mmengine - INFO - Iter(train) [125700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:42:50 time: 0.9768 data_time: 0.0190 memory: 21235 grad_norm: 22.1531 loss: 9.7293 loss_cls: 0.3082 loss_bbox: 0.1518 loss_iou: 0.3101 d0.loss_cls: 0.3401 d0.loss_bbox: 0.1741 d0.loss_iou: 0.3296 d1.loss_cls: 0.3345 d1.loss_bbox: 0.1562 d1.loss_iou: 0.3139 d2.loss_cls: 0.3260 d2.loss_bbox: 0.1504 d2.loss_iou: 0.3092 d3.loss_cls: 0.3160 d3.loss_bbox: 0.1532 d3.loss_iou: 0.3105 d4.loss_cls: 0.3080 d4.loss_bbox: 0.1521 d4.loss_iou: 0.3092 enc_loss_cls: 0.3679 enc_loss_bbox: 0.1788 enc_loss_iou: 0.3437 dn_loss_cls: 0.0685 dn_loss_bbox: 0.1526 dn_loss_iou: 0.2398 d0.dn_loss_cls: 0.1495 d0.dn_loss_bbox: 0.2793 d0.dn_loss_iou: 0.3745 d1.dn_loss_cls: 0.1002 d1.dn_loss_bbox: 0.1783 d1.dn_loss_iou: 0.2702 d2.dn_loss_cls: 0.0819 d2.dn_loss_bbox: 0.1590 d2.dn_loss_iou: 0.2468 d3.dn_loss_cls: 0.0733 d3.dn_loss_bbox: 0.1529 d3.dn_loss_iou: 0.2410 d4.dn_loss_cls: 0.0698 d4.dn_loss_bbox: 0.1525 d4.dn_loss_iou: 0.2396 d1.loss_lmm_region: 0.1106 loss_lmm_image: 0.7457 2024/11/04 01:11:29 - mmengine - INFO - Iter(train) [125800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:41:11 time: 0.9733 data_time: 0.0188 memory: 20682 grad_norm: 21.4340 loss: 8.8438 loss_cls: 0.2472 loss_bbox: 0.1515 loss_iou: 0.2614 d0.loss_cls: 0.2790 d0.loss_bbox: 0.1661 d0.loss_iou: 0.2774 d1.loss_cls: 0.2635 d1.loss_bbox: 0.1567 d1.loss_iou: 0.2658 d2.loss_cls: 0.2548 d2.loss_bbox: 0.1516 d2.loss_iou: 0.2635 d3.loss_cls: 0.2538 d3.loss_bbox: 0.1507 d3.loss_iou: 0.2613 d4.loss_cls: 0.2488 d4.loss_bbox: 0.1520 d4.loss_iou: 0.2627 enc_loss_cls: 0.3010 enc_loss_bbox: 0.1763 enc_loss_iou: 0.2962 dn_loss_cls: 0.0812 dn_loss_bbox: 0.1576 dn_loss_iou: 0.2111 d0.dn_loss_cls: 0.1627 d0.dn_loss_bbox: 0.3154 d0.dn_loss_iou: 0.3635 d1.dn_loss_cls: 0.1091 d1.dn_loss_bbox: 0.1873 d1.dn_loss_iou: 0.2425 d2.dn_loss_cls: 0.0944 d2.dn_loss_bbox: 0.1665 d2.dn_loss_iou: 0.2201 d3.dn_loss_cls: 0.0869 d3.dn_loss_bbox: 0.1588 d3.dn_loss_iou: 0.2127 d4.dn_loss_cls: 0.0821 d4.dn_loss_bbox: 0.1577 d4.dn_loss_iou: 0.2113 d1.loss_lmm_region: 0.1118 loss_lmm_image: 0.6698 2024/11/04 01:13:06 - mmengine - INFO - Iter(train) [125900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:39:31 time: 0.9629 data_time: 0.0190 memory: 20904 grad_norm: 22.5715 loss: 9.1981 loss_cls: 0.2916 loss_bbox: 0.1483 loss_iou: 0.2802 d0.loss_cls: 0.3220 d0.loss_bbox: 0.1570 d0.loss_iou: 0.2965 d1.loss_cls: 0.2989 d1.loss_bbox: 0.1530 d1.loss_iou: 0.2869 d2.loss_cls: 0.2919 d2.loss_bbox: 0.1479 d2.loss_iou: 0.2821 d3.loss_cls: 0.2904 d3.loss_bbox: 0.1473 d3.loss_iou: 0.2827 d4.loss_cls: 0.2894 d4.loss_bbox: 0.1475 d4.loss_iou: 0.2822 enc_loss_cls: 0.3417 enc_loss_bbox: 0.1664 enc_loss_iou: 0.3161 dn_loss_cls: 0.0798 dn_loss_bbox: 0.1575 dn_loss_iou: 0.2070 d0.dn_loss_cls: 0.1592 d0.dn_loss_bbox: 0.3026 d0.dn_loss_iou: 0.3487 d1.dn_loss_cls: 0.1094 d1.dn_loss_bbox: 0.1925 d1.dn_loss_iou: 0.2370 d2.dn_loss_cls: 0.0952 d2.dn_loss_bbox: 0.1654 d2.dn_loss_iou: 0.2149 d3.dn_loss_cls: 0.0857 d3.dn_loss_bbox: 0.1591 d3.dn_loss_iou: 0.2087 d4.dn_loss_cls: 0.0813 d4.dn_loss_bbox: 0.1575 d4.dn_loss_iou: 0.2068 d1.loss_lmm_region: 0.1054 loss_lmm_image: 0.7044 2024/11/04 01:14:44 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 01:14:44 - mmengine - INFO - Iter(train) [126000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:37:51 time: 0.9725 data_time: 0.0190 memory: 21148 grad_norm: 19.5565 loss: 9.0776 loss_cls: 0.2678 loss_bbox: 0.1496 loss_iou: 0.2686 d0.loss_cls: 0.3044 d0.loss_bbox: 0.1581 d0.loss_iou: 0.2814 d1.loss_cls: 0.2896 d1.loss_bbox: 0.1513 d1.loss_iou: 0.2719 d2.loss_cls: 0.2817 d2.loss_bbox: 0.1503 d2.loss_iou: 0.2695 d3.loss_cls: 0.2756 d3.loss_bbox: 0.1508 d3.loss_iou: 0.2694 d4.loss_cls: 0.2694 d4.loss_bbox: 0.1509 d4.loss_iou: 0.2692 enc_loss_cls: 0.3263 enc_loss_bbox: 0.1676 enc_loss_iou: 0.2925 dn_loss_cls: 0.0737 dn_loss_bbox: 0.1663 dn_loss_iou: 0.2163 d0.dn_loss_cls: 0.1659 d0.dn_loss_bbox: 0.3104 d0.dn_loss_iou: 0.3576 d1.dn_loss_cls: 0.1086 d1.dn_loss_bbox: 0.1936 d1.dn_loss_iou: 0.2445 d2.dn_loss_cls: 0.0936 d2.dn_loss_bbox: 0.1707 d2.dn_loss_iou: 0.2219 d3.dn_loss_cls: 0.0805 d3.dn_loss_bbox: 0.1668 d3.dn_loss_iou: 0.2171 d4.dn_loss_cls: 0.0752 d4.dn_loss_bbox: 0.1662 d4.dn_loss_iou: 0.2162 d1.loss_lmm_region: 0.1055 loss_lmm_image: 0.7112 2024/11/04 01:16:21 - mmengine - INFO - Iter(train) [126100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:36:11 time: 0.9703 data_time: 0.0191 memory: 20837 grad_norm: 24.6795 loss: 9.4652 loss_cls: 0.3289 loss_bbox: 0.1500 loss_iou: 0.2779 d0.loss_cls: 0.3557 d0.loss_bbox: 0.1654 d0.loss_iou: 0.2944 d1.loss_cls: 0.3418 d1.loss_bbox: 0.1504 d1.loss_iou: 0.2799 d2.loss_cls: 0.3377 d2.loss_bbox: 0.1489 d2.loss_iou: 0.2792 d3.loss_cls: 0.3297 d3.loss_bbox: 0.1497 d3.loss_iou: 0.2769 d4.loss_cls: 0.3278 d4.loss_bbox: 0.1507 d4.loss_iou: 0.2782 enc_loss_cls: 0.3730 enc_loss_bbox: 0.1723 enc_loss_iou: 0.3096 dn_loss_cls: 0.0774 dn_loss_bbox: 0.1556 dn_loss_iou: 0.2149 d0.dn_loss_cls: 0.1624 d0.dn_loss_bbox: 0.2952 d0.dn_loss_iou: 0.3556 d1.dn_loss_cls: 0.1107 d1.dn_loss_bbox: 0.1857 d1.dn_loss_iou: 0.2469 d2.dn_loss_cls: 0.0938 d2.dn_loss_bbox: 0.1633 d2.dn_loss_iou: 0.2230 d3.dn_loss_cls: 0.0831 d3.dn_loss_bbox: 0.1573 d3.dn_loss_iou: 0.2161 d4.dn_loss_cls: 0.0778 d4.dn_loss_bbox: 0.1557 d4.dn_loss_iou: 0.2151 d1.loss_lmm_region: 0.1107 loss_lmm_image: 0.6865 2024/11/04 01:17:58 - mmengine - INFO - Iter(train) [126200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:34:31 time: 0.9725 data_time: 0.0191 memory: 20988 grad_norm: 18.5806 loss: 8.6127 loss_cls: 0.2753 loss_bbox: 0.1261 loss_iou: 0.2502 d0.loss_cls: 0.3085 d0.loss_bbox: 0.1380 d0.loss_iou: 0.2654 d1.loss_cls: 0.2998 d1.loss_bbox: 0.1285 d1.loss_iou: 0.2523 d2.loss_cls: 0.2859 d2.loss_bbox: 0.1268 d2.loss_iou: 0.2504 d3.loss_cls: 0.2812 d3.loss_bbox: 0.1228 d3.loss_iou: 0.2489 d4.loss_cls: 0.2790 d4.loss_bbox: 0.1239 d4.loss_iou: 0.2482 enc_loss_cls: 0.3198 enc_loss_bbox: 0.1521 enc_loss_iou: 0.2866 dn_loss_cls: 0.0734 dn_loss_bbox: 0.1484 dn_loss_iou: 0.2120 d0.dn_loss_cls: 0.1448 d0.dn_loss_bbox: 0.2861 d0.dn_loss_iou: 0.3488 d1.dn_loss_cls: 0.0984 d1.dn_loss_bbox: 0.1768 d1.dn_loss_iou: 0.2411 d2.dn_loss_cls: 0.0840 d2.dn_loss_bbox: 0.1560 d2.dn_loss_iou: 0.2191 d3.dn_loss_cls: 0.0754 d3.dn_loss_bbox: 0.1490 d3.dn_loss_iou: 0.2130 d4.dn_loss_cls: 0.0737 d4.dn_loss_bbox: 0.1483 d4.dn_loss_iou: 0.2119 d1.loss_lmm_region: 0.0951 loss_lmm_image: 0.6876 2024/11/04 01:19:36 - mmengine - INFO - Iter(train) [126300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:32:51 time: 0.9693 data_time: 0.0188 memory: 20814 grad_norm: 21.7697 loss: 8.3603 loss_cls: 0.2487 loss_bbox: 0.1184 loss_iou: 0.2203 d0.loss_cls: 0.2731 d0.loss_bbox: 0.1385 d0.loss_iou: 0.2434 d1.loss_cls: 0.2606 d1.loss_bbox: 0.1252 d1.loss_iou: 0.2268 d2.loss_cls: 0.2555 d2.loss_bbox: 0.1217 d2.loss_iou: 0.2221 d3.loss_cls: 0.2496 d3.loss_bbox: 0.1199 d3.loss_iou: 0.2227 d4.loss_cls: 0.2483 d4.loss_bbox: 0.1193 d4.loss_iou: 0.2193 enc_loss_cls: 0.2908 enc_loss_bbox: 0.1528 enc_loss_iou: 0.2629 dn_loss_cls: 0.0795 dn_loss_bbox: 0.1627 dn_loss_iou: 0.2145 d0.dn_loss_cls: 0.1644 d0.dn_loss_bbox: 0.3113 d0.dn_loss_iou: 0.3589 d1.dn_loss_cls: 0.1063 d1.dn_loss_bbox: 0.1922 d1.dn_loss_iou: 0.2414 d2.dn_loss_cls: 0.0910 d2.dn_loss_bbox: 0.1698 d2.dn_loss_iou: 0.2215 d3.dn_loss_cls: 0.0837 d3.dn_loss_bbox: 0.1646 d3.dn_loss_iou: 0.2157 d4.dn_loss_cls: 0.0801 d4.dn_loss_bbox: 0.1628 d4.dn_loss_iou: 0.2147 d1.loss_lmm_region: 0.1240 loss_lmm_image: 0.6612 2024/11/04 01:21:14 - mmengine - INFO - Iter(train) [126400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:31:12 time: 0.9830 data_time: 0.0190 memory: 20789 grad_norm: 24.6718 loss: 9.4853 loss_cls: 0.3039 loss_bbox: 0.1380 loss_iou: 0.2691 d0.loss_cls: 0.3439 d0.loss_bbox: 0.1560 d0.loss_iou: 0.2879 d1.loss_cls: 0.3260 d1.loss_bbox: 0.1449 d1.loss_iou: 0.2792 d2.loss_cls: 0.3157 d2.loss_bbox: 0.1406 d2.loss_iou: 0.2710 d3.loss_cls: 0.3107 d3.loss_bbox: 0.1389 d3.loss_iou: 0.2698 d4.loss_cls: 0.3083 d4.loss_bbox: 0.1385 d4.loss_iou: 0.2688 enc_loss_cls: 0.3579 enc_loss_bbox: 0.1680 enc_loss_iou: 0.3125 dn_loss_cls: 0.1112 dn_loss_bbox: 0.1660 dn_loss_iou: 0.2233 d0.dn_loss_cls: 0.1836 d0.dn_loss_bbox: 0.2990 d0.dn_loss_iou: 0.3629 d1.dn_loss_cls: 0.1326 d1.dn_loss_bbox: 0.1978 d1.dn_loss_iou: 0.2559 d2.dn_loss_cls: 0.1179 d2.dn_loss_bbox: 0.1748 d2.dn_loss_iou: 0.2326 d3.dn_loss_cls: 0.1132 d3.dn_loss_bbox: 0.1671 d3.dn_loss_iou: 0.2248 d4.dn_loss_cls: 0.1130 d4.dn_loss_bbox: 0.1660 d4.dn_loss_iou: 0.2234 d1.loss_lmm_region: 0.1181 loss_lmm_image: 0.6527 2024/11/04 01:22:52 - mmengine - INFO - Iter(train) [126500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:29:32 time: 0.9775 data_time: 0.0189 memory: 21635 grad_norm: 19.3202 loss: 8.4561 loss_cls: 0.2563 loss_bbox: 0.1281 loss_iou: 0.2299 d0.loss_cls: 0.2805 d0.loss_bbox: 0.1392 d0.loss_iou: 0.2492 d1.loss_cls: 0.2669 d1.loss_bbox: 0.1345 d1.loss_iou: 0.2399 d2.loss_cls: 0.2571 d2.loss_bbox: 0.1288 d2.loss_iou: 0.2336 d3.loss_cls: 0.2576 d3.loss_bbox: 0.1274 d3.loss_iou: 0.2301 d4.loss_cls: 0.2551 d4.loss_bbox: 0.1280 d4.loss_iou: 0.2298 enc_loss_cls: 0.2951 enc_loss_bbox: 0.1508 enc_loss_iou: 0.2654 dn_loss_cls: 0.0798 dn_loss_bbox: 0.1534 dn_loss_iou: 0.2011 d0.dn_loss_cls: 0.1606 d0.dn_loss_bbox: 0.3074 d0.dn_loss_iou: 0.3437 d1.dn_loss_cls: 0.1145 d1.dn_loss_bbox: 0.1871 d1.dn_loss_iou: 0.2326 d2.dn_loss_cls: 0.0947 d2.dn_loss_bbox: 0.1647 d2.dn_loss_iou: 0.2102 d3.dn_loss_cls: 0.0826 d3.dn_loss_bbox: 0.1551 d3.dn_loss_iou: 0.2029 d4.dn_loss_cls: 0.0798 d4.dn_loss_bbox: 0.1535 d4.dn_loss_iou: 0.2012 d1.loss_lmm_region: 0.0941 loss_lmm_image: 0.7541 2024/11/04 01:24:30 - mmengine - INFO - Iter(train) [126600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:27:52 time: 0.9786 data_time: 0.0190 memory: 21918 grad_norm: 22.7766 loss: 8.4689 loss_cls: 0.2775 loss_bbox: 0.1124 loss_iou: 0.2382 d0.loss_cls: 0.3080 d0.loss_bbox: 0.1291 d0.loss_iou: 0.2587 d1.loss_cls: 0.2953 d1.loss_bbox: 0.1217 d1.loss_iou: 0.2484 d2.loss_cls: 0.2859 d2.loss_bbox: 0.1183 d2.loss_iou: 0.2453 d3.loss_cls: 0.2852 d3.loss_bbox: 0.1134 d3.loss_iou: 0.2391 d4.loss_cls: 0.2798 d4.loss_bbox: 0.1124 d4.loss_iou: 0.2376 enc_loss_cls: 0.3282 enc_loss_bbox: 0.1438 enc_loss_iou: 0.2790 dn_loss_cls: 0.1027 dn_loss_bbox: 0.1255 dn_loss_iou: 0.1952 d0.dn_loss_cls: 0.1560 d0.dn_loss_bbox: 0.2686 d0.dn_loss_iou: 0.3379 d1.dn_loss_cls: 0.1130 d1.dn_loss_bbox: 0.1545 d1.dn_loss_iou: 0.2251 d2.dn_loss_cls: 0.1066 d2.dn_loss_bbox: 0.1358 d2.dn_loss_iou: 0.2033 d3.dn_loss_cls: 0.1045 d3.dn_loss_bbox: 0.1276 d3.dn_loss_iou: 0.1966 d4.dn_loss_cls: 0.1038 d4.dn_loss_bbox: 0.1255 d4.dn_loss_iou: 0.1953 d1.loss_lmm_region: 0.0867 loss_lmm_image: 0.7474 2024/11/04 01:26:07 - mmengine - INFO - Iter(train) [126700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:26:12 time: 0.9693 data_time: 0.0190 memory: 20560 grad_norm: 19.9863 loss: 8.2007 loss_cls: 0.2445 loss_bbox: 0.1320 loss_iou: 0.2193 d0.loss_cls: 0.2687 d0.loss_bbox: 0.1514 d0.loss_iou: 0.2406 d1.loss_cls: 0.2568 d1.loss_bbox: 0.1411 d1.loss_iou: 0.2288 d2.loss_cls: 0.2534 d2.loss_bbox: 0.1331 d2.loss_iou: 0.2205 d3.loss_cls: 0.2508 d3.loss_bbox: 0.1307 d3.loss_iou: 0.2172 d4.loss_cls: 0.2479 d4.loss_bbox: 0.1310 d4.loss_iou: 0.2182 enc_loss_cls: 0.2852 enc_loss_bbox: 0.1670 enc_loss_iou: 0.2589 dn_loss_cls: 0.0658 dn_loss_bbox: 0.1548 dn_loss_iou: 0.1937 d0.dn_loss_cls: 0.1477 d0.dn_loss_bbox: 0.2959 d0.dn_loss_iou: 0.3285 d1.dn_loss_cls: 0.0964 d1.dn_loss_bbox: 0.1863 d1.dn_loss_iou: 0.2236 d2.dn_loss_cls: 0.0794 d2.dn_loss_bbox: 0.1650 d2.dn_loss_iou: 0.2021 d3.dn_loss_cls: 0.0706 d3.dn_loss_bbox: 0.1564 d3.dn_loss_iou: 0.1951 d4.dn_loss_cls: 0.0671 d4.dn_loss_bbox: 0.1548 d4.dn_loss_iou: 0.1937 d1.loss_lmm_region: 0.1131 loss_lmm_image: 0.7133 2024/11/04 01:27:45 - mmengine - INFO - Iter(train) [126800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:24:32 time: 0.9826 data_time: 0.0191 memory: 21180 grad_norm: 19.4906 loss: 10.0434 loss_cls: 0.3142 loss_bbox: 0.1621 loss_iou: 0.2913 d0.loss_cls: 0.3429 d0.loss_bbox: 0.1857 d0.loss_iou: 0.3188 d1.loss_cls: 0.3366 d1.loss_bbox: 0.1683 d1.loss_iou: 0.3047 d2.loss_cls: 0.3257 d2.loss_bbox: 0.1633 d2.loss_iou: 0.2954 d3.loss_cls: 0.3223 d3.loss_bbox: 0.1607 d3.loss_iou: 0.2940 d4.loss_cls: 0.3154 d4.loss_bbox: 0.1614 d4.loss_iou: 0.2923 enc_loss_cls: 0.3705 enc_loss_bbox: 0.1916 enc_loss_iou: 0.3300 dn_loss_cls: 0.0946 dn_loss_bbox: 0.1732 dn_loss_iou: 0.2430 d0.dn_loss_cls: 0.1867 d0.dn_loss_bbox: 0.3263 d0.dn_loss_iou: 0.3916 d1.dn_loss_cls: 0.1286 d1.dn_loss_bbox: 0.2052 d1.dn_loss_iou: 0.2763 d2.dn_loss_cls: 0.1112 d2.dn_loss_bbox: 0.1835 d2.dn_loss_iou: 0.2524 d3.dn_loss_cls: 0.0996 d3.dn_loss_bbox: 0.1741 d3.dn_loss_iou: 0.2441 d4.dn_loss_cls: 0.0937 d4.dn_loss_bbox: 0.1731 d4.dn_loss_iou: 0.2431 d1.loss_lmm_region: 0.1210 loss_lmm_image: 0.6749 2024/11/04 01:29:22 - mmengine - INFO - Iter(train) [126900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:22:53 time: 0.9648 data_time: 0.0189 memory: 21114 grad_norm: 22.8739 loss: 8.5667 loss_cls: 0.2677 loss_bbox: 0.1273 loss_iou: 0.2287 d0.loss_cls: 0.2997 d0.loss_bbox: 0.1402 d0.loss_iou: 0.2440 d1.loss_cls: 0.2856 d1.loss_bbox: 0.1286 d1.loss_iou: 0.2340 d2.loss_cls: 0.2731 d2.loss_bbox: 0.1272 d2.loss_iou: 0.2303 d3.loss_cls: 0.2724 d3.loss_bbox: 0.1276 d3.loss_iou: 0.2302 d4.loss_cls: 0.2691 d4.loss_bbox: 0.1272 d4.loss_iou: 0.2284 enc_loss_cls: 0.3145 enc_loss_bbox: 0.1509 enc_loss_iou: 0.2632 dn_loss_cls: 0.0751 dn_loss_bbox: 0.1656 dn_loss_iou: 0.2113 d0.dn_loss_cls: 0.1645 d0.dn_loss_bbox: 0.3115 d0.dn_loss_iou: 0.3509 d1.dn_loss_cls: 0.1057 d1.dn_loss_bbox: 0.1962 d1.dn_loss_iou: 0.2402 d2.dn_loss_cls: 0.0884 d2.dn_loss_bbox: 0.1746 d2.dn_loss_iou: 0.2201 d3.dn_loss_cls: 0.0814 d3.dn_loss_bbox: 0.1669 d3.dn_loss_iou: 0.2126 d4.dn_loss_cls: 0.0764 d4.dn_loss_bbox: 0.1656 d4.dn_loss_iou: 0.2113 d1.loss_lmm_region: 0.0899 loss_lmm_image: 0.6885 2024/11/04 01:31:00 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 01:31:00 - mmengine - INFO - Iter(train) [127000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:21:13 time: 0.9885 data_time: 0.0191 memory: 21184 grad_norm: 18.2574 loss: 9.5299 loss_cls: 0.2993 loss_bbox: 0.1549 loss_iou: 0.2970 d0.loss_cls: 0.3400 d0.loss_bbox: 0.1638 d0.loss_iou: 0.3136 d1.loss_cls: 0.3217 d1.loss_bbox: 0.1550 d1.loss_iou: 0.3005 d2.loss_cls: 0.3086 d2.loss_bbox: 0.1524 d2.loss_iou: 0.2977 d3.loss_cls: 0.3086 d3.loss_bbox: 0.1522 d3.loss_iou: 0.2965 d4.loss_cls: 0.3015 d4.loss_bbox: 0.1551 d4.loss_iou: 0.2969 enc_loss_cls: 0.3537 enc_loss_bbox: 0.1766 enc_loss_iou: 0.3340 dn_loss_cls: 0.0737 dn_loss_bbox: 0.1687 dn_loss_iou: 0.2247 d0.dn_loss_cls: 0.1493 d0.dn_loss_bbox: 0.3014 d0.dn_loss_iou: 0.3622 d1.dn_loss_cls: 0.0999 d1.dn_loss_bbox: 0.2029 d1.dn_loss_iou: 0.2571 d2.dn_loss_cls: 0.0847 d2.dn_loss_bbox: 0.1776 d2.dn_loss_iou: 0.2327 d3.dn_loss_cls: 0.0769 d3.dn_loss_bbox: 0.1697 d3.dn_loss_iou: 0.2262 d4.dn_loss_cls: 0.0746 d4.dn_loss_bbox: 0.1687 d4.dn_loss_iou: 0.2247 d1.loss_lmm_region: 0.0957 loss_lmm_image: 0.6788 2024/11/04 01:32:37 - mmengine - INFO - Iter(train) [127100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:19:33 time: 0.9728 data_time: 0.0192 memory: 20501 grad_norm: 19.5250 loss: 7.9337 loss_cls: 0.2283 loss_bbox: 0.1127 loss_iou: 0.2032 d0.loss_cls: 0.2525 d0.loss_bbox: 0.1252 d0.loss_iou: 0.2198 d1.loss_cls: 0.2430 d1.loss_bbox: 0.1183 d1.loss_iou: 0.2116 d2.loss_cls: 0.2385 d2.loss_bbox: 0.1119 d2.loss_iou: 0.2027 d3.loss_cls: 0.2323 d3.loss_bbox: 0.1127 d3.loss_iou: 0.2043 d4.loss_cls: 0.2295 d4.loss_bbox: 0.1138 d4.loss_iou: 0.2043 enc_loss_cls: 0.2617 enc_loss_bbox: 0.1381 enc_loss_iou: 0.2345 dn_loss_cls: 0.0921 dn_loss_bbox: 0.1486 dn_loss_iou: 0.2018 d0.dn_loss_cls: 0.1647 d0.dn_loss_bbox: 0.3003 d0.dn_loss_iou: 0.3440 d1.dn_loss_cls: 0.1164 d1.dn_loss_bbox: 0.1864 d1.dn_loss_iou: 0.2349 d2.dn_loss_cls: 0.1026 d2.dn_loss_bbox: 0.1616 d2.dn_loss_iou: 0.2114 d3.dn_loss_cls: 0.0966 d3.dn_loss_bbox: 0.1513 d3.dn_loss_iou: 0.2037 d4.dn_loss_cls: 0.0922 d4.dn_loss_bbox: 0.1486 d4.dn_loss_iou: 0.2017 d1.loss_lmm_region: 0.1105 loss_lmm_image: 0.6658 2024/11/04 01:34:16 - mmengine - INFO - Iter(train) [127200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:17:53 time: 0.9860 data_time: 0.0190 memory: 20484 grad_norm: 20.8276 loss: 9.1033 loss_cls: 0.3015 loss_bbox: 0.1454 loss_iou: 0.2284 d0.loss_cls: 0.3307 d0.loss_bbox: 0.1517 d0.loss_iou: 0.2422 d1.loss_cls: 0.3198 d1.loss_bbox: 0.1455 d1.loss_iou: 0.2301 d2.loss_cls: 0.3088 d2.loss_bbox: 0.1492 d2.loss_iou: 0.2297 d3.loss_cls: 0.3086 d3.loss_bbox: 0.1437 d3.loss_iou: 0.2282 d4.loss_cls: 0.3027 d4.loss_bbox: 0.1461 d4.loss_iou: 0.2284 enc_loss_cls: 0.3501 enc_loss_bbox: 0.1609 enc_loss_iou: 0.2542 dn_loss_cls: 0.0843 dn_loss_bbox: 0.1831 dn_loss_iou: 0.2125 d0.dn_loss_cls: 0.1781 d0.dn_loss_bbox: 0.3435 d0.dn_loss_iou: 0.3570 d1.dn_loss_cls: 0.1193 d1.dn_loss_bbox: 0.2163 d1.dn_loss_iou: 0.2404 d2.dn_loss_cls: 0.0999 d2.dn_loss_bbox: 0.1908 d2.dn_loss_iou: 0.2202 d3.dn_loss_cls: 0.0893 d3.dn_loss_bbox: 0.1852 d3.dn_loss_iou: 0.2146 d4.dn_loss_cls: 0.0848 d4.dn_loss_bbox: 0.1833 d4.dn_loss_iou: 0.2126 d1.loss_lmm_region: 0.1294 loss_lmm_image: 0.6528 2024/11/04 01:35:53 - mmengine - INFO - Iter(train) [127300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:16:13 time: 0.9604 data_time: 0.0191 memory: 20588 grad_norm: nan loss: 8.2246 loss_cls: 0.2326 loss_bbox: 0.1287 loss_iou: 0.2153 d0.loss_cls: 0.2625 d0.loss_bbox: 0.1386 d0.loss_iou: 0.2279 d1.loss_cls: 0.2462 d1.loss_bbox: 0.1320 d1.loss_iou: 0.2200 d2.loss_cls: 0.2388 d2.loss_bbox: 0.1278 d2.loss_iou: 0.2162 d3.loss_cls: 0.2340 d3.loss_bbox: 0.1285 d3.loss_iou: 0.2144 d4.loss_cls: 0.2331 d4.loss_bbox: 0.1287 d4.loss_iou: 0.2152 enc_loss_cls: 0.2824 enc_loss_bbox: 0.1501 enc_loss_iou: 0.2427 dn_loss_cls: 0.0657 dn_loss_bbox: 0.1720 dn_loss_iou: 0.2102 d0.dn_loss_cls: 0.1406 d0.dn_loss_bbox: 0.3122 d0.dn_loss_iou: 0.3418 d1.dn_loss_cls: 0.0883 d1.dn_loss_bbox: 0.2017 d1.dn_loss_iou: 0.2366 d2.dn_loss_cls: 0.0759 d2.dn_loss_bbox: 0.1785 d2.dn_loss_iou: 0.2163 d3.dn_loss_cls: 0.0689 d3.dn_loss_bbox: 0.1730 d3.dn_loss_iou: 0.2115 d4.dn_loss_cls: 0.0662 d4.dn_loss_bbox: 0.1719 d4.dn_loss_iou: 0.2101 d1.loss_lmm_region: 0.1061 loss_lmm_image: 0.7614 2024/11/04 01:37:30 - mmengine - INFO - Iter(train) [127400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:14:34 time: 0.9646 data_time: 0.0190 memory: 20417 grad_norm: 25.0142 loss: 8.6911 loss_cls: 0.2676 loss_bbox: 0.1356 loss_iou: 0.2471 d0.loss_cls: 0.2986 d0.loss_bbox: 0.1471 d0.loss_iou: 0.2620 d1.loss_cls: 0.2909 d1.loss_bbox: 0.1345 d1.loss_iou: 0.2477 d2.loss_cls: 0.2797 d2.loss_bbox: 0.1345 d2.loss_iou: 0.2440 d3.loss_cls: 0.2730 d3.loss_bbox: 0.1344 d3.loss_iou: 0.2447 d4.loss_cls: 0.2698 d4.loss_bbox: 0.1345 d4.loss_iou: 0.2460 enc_loss_cls: 0.3199 enc_loss_bbox: 0.1528 enc_loss_iou: 0.2713 dn_loss_cls: 0.0708 dn_loss_bbox: 0.1567 dn_loss_iou: 0.2111 d0.dn_loss_cls: 0.1500 d0.dn_loss_bbox: 0.3008 d0.dn_loss_iou: 0.3556 d1.dn_loss_cls: 0.0977 d1.dn_loss_bbox: 0.1848 d1.dn_loss_iou: 0.2395 d2.dn_loss_cls: 0.0830 d2.dn_loss_bbox: 0.1627 d2.dn_loss_iou: 0.2188 d3.dn_loss_cls: 0.0751 d3.dn_loss_bbox: 0.1570 d3.dn_loss_iou: 0.2119 d4.dn_loss_cls: 0.0710 d4.dn_loss_bbox: 0.1568 d4.dn_loss_iou: 0.2109 d1.loss_lmm_region: 0.1029 loss_lmm_image: 0.7381 2024/11/04 01:39:07 - mmengine - INFO - Iter(train) [127500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:12:54 time: 0.9729 data_time: 0.0191 memory: 20451 grad_norm: 22.8538 loss: 8.0486 loss_cls: 0.2593 loss_bbox: 0.1017 loss_iou: 0.2203 d0.loss_cls: 0.2871 d0.loss_bbox: 0.1191 d0.loss_iou: 0.2407 d1.loss_cls: 0.2770 d1.loss_bbox: 0.1044 d1.loss_iou: 0.2238 d2.loss_cls: 0.2674 d2.loss_bbox: 0.1009 d2.loss_iou: 0.2215 d3.loss_cls: 0.2648 d3.loss_bbox: 0.0983 d3.loss_iou: 0.2190 d4.loss_cls: 0.2621 d4.loss_bbox: 0.1007 d4.loss_iou: 0.2202 enc_loss_cls: 0.3083 enc_loss_bbox: 0.1273 enc_loss_iou: 0.2576 dn_loss_cls: 0.0769 dn_loss_bbox: 0.1370 dn_loss_iou: 0.1848 d0.dn_loss_cls: 0.1664 d0.dn_loss_bbox: 0.2761 d0.dn_loss_iou: 0.3251 d1.dn_loss_cls: 0.1164 d1.dn_loss_bbox: 0.1654 d1.dn_loss_iou: 0.2143 d2.dn_loss_cls: 0.0955 d2.dn_loss_bbox: 0.1442 d2.dn_loss_iou: 0.1924 d3.dn_loss_cls: 0.0825 d3.dn_loss_bbox: 0.1384 d3.dn_loss_iou: 0.1861 d4.dn_loss_cls: 0.0770 d4.dn_loss_bbox: 0.1370 d4.dn_loss_iou: 0.1849 d1.loss_lmm_region: 0.1143 loss_lmm_image: 0.7522 2024/11/04 01:40:44 - mmengine - INFO - Iter(train) [127600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:11:14 time: 0.9668 data_time: 0.0191 memory: 21123 grad_norm: 27.5549 loss: 9.6779 loss_cls: 0.3004 loss_bbox: 0.1295 loss_iou: 0.2815 d0.loss_cls: 0.3327 d0.loss_bbox: 0.1489 d0.loss_iou: 0.3019 d1.loss_cls: 0.3256 d1.loss_bbox: 0.1376 d1.loss_iou: 0.2879 d2.loss_cls: 0.3059 d2.loss_bbox: 0.1372 d2.loss_iou: 0.2875 d3.loss_cls: 0.3071 d3.loss_bbox: 0.1325 d3.loss_iou: 0.2827 d4.loss_cls: 0.3025 d4.loss_bbox: 0.1312 d4.loss_iou: 0.2829 enc_loss_cls: 0.3578 enc_loss_bbox: 0.1563 enc_loss_iou: 0.3144 dn_loss_cls: 0.1182 dn_loss_bbox: 0.1617 dn_loss_iou: 0.2389 d0.dn_loss_cls: 0.2033 d0.dn_loss_bbox: 0.3122 d0.dn_loss_iou: 0.3892 d1.dn_loss_cls: 0.1457 d1.dn_loss_bbox: 0.1996 d1.dn_loss_iou: 0.2718 d2.dn_loss_cls: 0.1358 d2.dn_loss_bbox: 0.1719 d2.dn_loss_iou: 0.2481 d3.dn_loss_cls: 0.1226 d3.dn_loss_bbox: 0.1633 d3.dn_loss_iou: 0.2406 d4.dn_loss_cls: 0.1196 d4.dn_loss_bbox: 0.1616 d4.dn_loss_iou: 0.2388 d1.loss_lmm_region: 0.1070 loss_lmm_image: 0.6841 2024/11/04 01:42:21 - mmengine - INFO - Iter(train) [127700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:09:34 time: 0.9769 data_time: 0.0190 memory: 20690 grad_norm: 20.3643 loss: 9.1782 loss_cls: 0.3116 loss_bbox: 0.1446 loss_iou: 0.2517 d0.loss_cls: 0.3535 d0.loss_bbox: 0.1522 d0.loss_iou: 0.2682 d1.loss_cls: 0.3372 d1.loss_bbox: 0.1445 d1.loss_iou: 0.2551 d2.loss_cls: 0.3250 d2.loss_bbox: 0.1456 d2.loss_iou: 0.2537 d3.loss_cls: 0.3200 d3.loss_bbox: 0.1450 d3.loss_iou: 0.2505 d4.loss_cls: 0.3141 d4.loss_bbox: 0.1459 d4.loss_iou: 0.2512 enc_loss_cls: 0.3727 enc_loss_bbox: 0.1625 enc_loss_iou: 0.2851 dn_loss_cls: 0.0926 dn_loss_bbox: 0.1518 dn_loss_iou: 0.1997 d0.dn_loss_cls: 0.1782 d0.dn_loss_bbox: 0.2905 d0.dn_loss_iou: 0.3360 d1.dn_loss_cls: 0.1230 d1.dn_loss_bbox: 0.1844 d1.dn_loss_iou: 0.2297 d2.dn_loss_cls: 0.1066 d2.dn_loss_bbox: 0.1592 d2.dn_loss_iou: 0.2070 d3.dn_loss_cls: 0.0991 d3.dn_loss_bbox: 0.1527 d3.dn_loss_iou: 0.2009 d4.dn_loss_cls: 0.0923 d4.dn_loss_bbox: 0.1518 d4.dn_loss_iou: 0.1997 d1.loss_lmm_region: 0.1151 loss_lmm_image: 0.7179 2024/11/04 01:43:59 - mmengine - INFO - Iter(train) [127800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:07:54 time: 0.9713 data_time: 0.0190 memory: 20509 grad_norm: 21.6097 loss: 8.7415 loss_cls: 0.2664 loss_bbox: 0.1381 loss_iou: 0.2603 d0.loss_cls: 0.2934 d0.loss_bbox: 0.1566 d0.loss_iou: 0.2765 d1.loss_cls: 0.2753 d1.loss_bbox: 0.1465 d1.loss_iou: 0.2672 d2.loss_cls: 0.2704 d2.loss_bbox: 0.1394 d2.loss_iou: 0.2608 d3.loss_cls: 0.2677 d3.loss_bbox: 0.1381 d3.loss_iou: 0.2596 d4.loss_cls: 0.2676 d4.loss_bbox: 0.1391 d4.loss_iou: 0.2607 enc_loss_cls: 0.3176 enc_loss_bbox: 0.1667 enc_loss_iou: 0.2889 dn_loss_cls: 0.0617 dn_loss_bbox: 0.1645 dn_loss_iou: 0.2093 d0.dn_loss_cls: 0.1513 d0.dn_loss_bbox: 0.3047 d0.dn_loss_iou: 0.3497 d1.dn_loss_cls: 0.0931 d1.dn_loss_bbox: 0.1933 d1.dn_loss_iou: 0.2397 d2.dn_loss_cls: 0.0772 d2.dn_loss_bbox: 0.1733 d2.dn_loss_iou: 0.2176 d3.dn_loss_cls: 0.0670 d3.dn_loss_bbox: 0.1646 d3.dn_loss_iou: 0.2102 d4.dn_loss_cls: 0.0627 d4.dn_loss_bbox: 0.1645 d4.dn_loss_iou: 0.2091 d1.loss_lmm_region: 0.1095 loss_lmm_image: 0.6613 2024/11/04 01:45:36 - mmengine - INFO - Iter(train) [127900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:06:14 time: 0.9659 data_time: 0.0192 memory: 21421 grad_norm: 18.4128 loss: 9.6637 loss_cls: 0.3097 loss_bbox: 0.1475 loss_iou: 0.2774 d0.loss_cls: 0.3376 d0.loss_bbox: 0.1561 d0.loss_iou: 0.2880 d1.loss_cls: 0.3232 d1.loss_bbox: 0.1505 d1.loss_iou: 0.2799 d2.loss_cls: 0.3157 d2.loss_bbox: 0.1473 d2.loss_iou: 0.2771 d3.loss_cls: 0.3128 d3.loss_bbox: 0.1476 d3.loss_iou: 0.2777 d4.loss_cls: 0.3093 d4.loss_bbox: 0.1476 d4.loss_iou: 0.2774 enc_loss_cls: 0.3678 enc_loss_bbox: 0.1716 enc_loss_iou: 0.3066 dn_loss_cls: 0.0822 dn_loss_bbox: 0.1743 dn_loss_iou: 0.2396 d0.dn_loss_cls: 0.1656 d0.dn_loss_bbox: 0.3199 d0.dn_loss_iou: 0.3867 d1.dn_loss_cls: 0.1121 d1.dn_loss_bbox: 0.2060 d1.dn_loss_iou: 0.2730 d2.dn_loss_cls: 0.0947 d2.dn_loss_bbox: 0.1817 d2.dn_loss_iou: 0.2472 d3.dn_loss_cls: 0.0863 d3.dn_loss_bbox: 0.1760 d3.dn_loss_iou: 0.2410 d4.dn_loss_cls: 0.0824 d4.dn_loss_bbox: 0.1744 d4.dn_loss_iou: 0.2396 d1.loss_lmm_region: 0.1061 loss_lmm_image: 0.7465 2024/11/04 01:47:14 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 01:47:14 - mmengine - INFO - Iter(train) [128000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:04:35 time: 0.9738 data_time: 0.0190 memory: 20754 grad_norm: 33.9351 loss: 8.4331 loss_cls: 0.2504 loss_bbox: 0.1349 loss_iou: 0.2389 d0.loss_cls: 0.2799 d0.loss_bbox: 0.1502 d0.loss_iou: 0.2551 d1.loss_cls: 0.2705 d1.loss_bbox: 0.1383 d1.loss_iou: 0.2437 d2.loss_cls: 0.2598 d2.loss_bbox: 0.1387 d2.loss_iou: 0.2405 d3.loss_cls: 0.2538 d3.loss_bbox: 0.1375 d3.loss_iou: 0.2401 d4.loss_cls: 0.2504 d4.loss_bbox: 0.1355 d4.loss_iou: 0.2393 enc_loss_cls: 0.2962 enc_loss_bbox: 0.1628 enc_loss_iou: 0.2730 dn_loss_cls: 0.0613 dn_loss_bbox: 0.1543 dn_loss_iou: 0.2086 d0.dn_loss_cls: 0.1485 d0.dn_loss_bbox: 0.3105 d0.dn_loss_iou: 0.3515 d1.dn_loss_cls: 0.0954 d1.dn_loss_bbox: 0.1854 d1.dn_loss_iou: 0.2363 d2.dn_loss_cls: 0.0789 d2.dn_loss_bbox: 0.1630 d2.dn_loss_iou: 0.2165 d3.dn_loss_cls: 0.0668 d3.dn_loss_bbox: 0.1554 d3.dn_loss_iou: 0.2102 d4.dn_loss_cls: 0.0623 d4.dn_loss_bbox: 0.1542 d4.dn_loss_iou: 0.2087 d1.loss_lmm_region: 0.0979 loss_lmm_image: 0.6776 2024/11/04 01:48:52 - mmengine - INFO - Iter(train) [128100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:02:55 time: 0.9693 data_time: 0.0191 memory: 21362 grad_norm: 20.7712 loss: 9.4571 loss_cls: 0.2921 loss_bbox: 0.1454 loss_iou: 0.2812 d0.loss_cls: 0.3230 d0.loss_bbox: 0.1596 d0.loss_iou: 0.2966 d1.loss_cls: 0.3061 d1.loss_bbox: 0.1522 d1.loss_iou: 0.2894 d2.loss_cls: 0.2982 d2.loss_bbox: 0.1469 d2.loss_iou: 0.2829 d3.loss_cls: 0.2960 d3.loss_bbox: 0.1456 d3.loss_iou: 0.2815 d4.loss_cls: 0.2914 d4.loss_bbox: 0.1453 d4.loss_iou: 0.2806 enc_loss_cls: 0.3405 enc_loss_bbox: 0.1658 enc_loss_iou: 0.3144 dn_loss_cls: 0.1141 dn_loss_bbox: 0.1643 dn_loss_iou: 0.2242 d0.dn_loss_cls: 0.1780 d0.dn_loss_bbox: 0.2946 d0.dn_loss_iou: 0.3538 d1.dn_loss_cls: 0.1345 d1.dn_loss_bbox: 0.1949 d1.dn_loss_iou: 0.2550 d2.dn_loss_cls: 0.1198 d2.dn_loss_bbox: 0.1715 d2.dn_loss_iou: 0.2318 d3.dn_loss_cls: 0.1164 d3.dn_loss_bbox: 0.1643 d3.dn_loss_iou: 0.2252 d4.dn_loss_cls: 0.1149 d4.dn_loss_bbox: 0.1642 d4.dn_loss_iou: 0.2241 d1.loss_lmm_region: 0.1155 loss_lmm_image: 0.6613 2024/11/04 01:50:30 - mmengine - INFO - Iter(train) [128200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:01:15 time: 0.9739 data_time: 0.0190 memory: 20855 grad_norm: 23.3337 loss: 7.9468 loss_cls: 0.2736 loss_bbox: 0.0968 loss_iou: 0.1973 d0.loss_cls: 0.3058 d0.loss_bbox: 0.1114 d0.loss_iou: 0.2140 d1.loss_cls: 0.2886 d1.loss_bbox: 0.1065 d1.loss_iou: 0.2049 d2.loss_cls: 0.2843 d2.loss_bbox: 0.0999 d2.loss_iou: 0.1984 d3.loss_cls: 0.2752 d3.loss_bbox: 0.0997 d3.loss_iou: 0.1979 d4.loss_cls: 0.2734 d4.loss_bbox: 0.0977 d4.loss_iou: 0.1982 enc_loss_cls: 0.3239 enc_loss_bbox: 0.1255 enc_loss_iou: 0.2331 dn_loss_cls: 0.0842 dn_loss_bbox: 0.1296 dn_loss_iou: 0.1859 d0.dn_loss_cls: 0.1690 d0.dn_loss_bbox: 0.2770 d0.dn_loss_iou: 0.3244 d1.dn_loss_cls: 0.1134 d1.dn_loss_bbox: 0.1629 d1.dn_loss_iou: 0.2155 d2.dn_loss_cls: 0.1003 d2.dn_loss_bbox: 0.1379 d2.dn_loss_iou: 0.1930 d3.dn_loss_cls: 0.0900 d3.dn_loss_bbox: 0.1308 d3.dn_loss_iou: 0.1870 d4.dn_loss_cls: 0.0867 d4.dn_loss_bbox: 0.1297 d4.dn_loss_iou: 0.1860 d1.loss_lmm_region: 0.1094 loss_lmm_image: 0.7278 2024/11/04 01:52:07 - mmengine - INFO - Iter(train) [128300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:59:36 time: 0.9660 data_time: 0.0189 memory: 21109 grad_norm: 20.0358 loss: 9.7454 loss_cls: 0.2888 loss_bbox: 0.1667 loss_iou: 0.2883 d0.loss_cls: 0.3220 d0.loss_bbox: 0.1824 d0.loss_iou: 0.3066 d1.loss_cls: 0.3059 d1.loss_bbox: 0.1747 d1.loss_iou: 0.2962 d2.loss_cls: 0.2970 d2.loss_bbox: 0.1742 d2.loss_iou: 0.2912 d3.loss_cls: 0.2883 d3.loss_bbox: 0.1725 d3.loss_iou: 0.2922 d4.loss_cls: 0.2904 d4.loss_bbox: 0.1664 d4.loss_iou: 0.2876 enc_loss_cls: 0.3459 enc_loss_bbox: 0.1912 enc_loss_iou: 0.3315 dn_loss_cls: 0.0632 dn_loss_bbox: 0.1812 dn_loss_iou: 0.2378 d0.dn_loss_cls: 0.1475 d0.dn_loss_bbox: 0.3379 d0.dn_loss_iou: 0.3842 d1.dn_loss_cls: 0.0949 d1.dn_loss_bbox: 0.2133 d1.dn_loss_iou: 0.2683 d2.dn_loss_cls: 0.0784 d2.dn_loss_bbox: 0.1874 d2.dn_loss_iou: 0.2448 d3.dn_loss_cls: 0.0684 d3.dn_loss_bbox: 0.1820 d3.dn_loss_iou: 0.2387 d4.dn_loss_cls: 0.0648 d4.dn_loss_bbox: 0.1813 d4.dn_loss_iou: 0.2378 d1.loss_lmm_region: 0.1248 loss_lmm_image: 0.7485 2024/11/04 01:53:44 - mmengine - INFO - Iter(train) [128400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:57:56 time: 0.9723 data_time: 0.0190 memory: 21026 grad_norm: 19.9394 loss: 8.8166 loss_cls: 0.2948 loss_bbox: 0.1247 loss_iou: 0.2524 d0.loss_cls: 0.3200 d0.loss_bbox: 0.1380 d0.loss_iou: 0.2726 d1.loss_cls: 0.3072 d1.loss_bbox: 0.1283 d1.loss_iou: 0.2599 d2.loss_cls: 0.3048 d2.loss_bbox: 0.1241 d2.loss_iou: 0.2518 d3.loss_cls: 0.2995 d3.loss_bbox: 0.1237 d3.loss_iou: 0.2524 d4.loss_cls: 0.2969 d4.loss_bbox: 0.1253 d4.loss_iou: 0.2509 enc_loss_cls: 0.3301 enc_loss_bbox: 0.1525 enc_loss_iou: 0.2941 dn_loss_cls: 0.0638 dn_loss_bbox: 0.1583 dn_loss_iou: 0.2122 d0.dn_loss_cls: 0.1472 d0.dn_loss_bbox: 0.2997 d0.dn_loss_iou: 0.3551 d1.dn_loss_cls: 0.0906 d1.dn_loss_bbox: 0.1874 d1.dn_loss_iou: 0.2431 d2.dn_loss_cls: 0.0770 d2.dn_loss_bbox: 0.1653 d2.dn_loss_iou: 0.2191 d3.dn_loss_cls: 0.0691 d3.dn_loss_bbox: 0.1592 d3.dn_loss_iou: 0.2135 d4.dn_loss_cls: 0.0645 d4.dn_loss_bbox: 0.1582 d4.dn_loss_iou: 0.2122 d1.loss_lmm_region: 0.0891 loss_lmm_image: 0.7276 2024/11/04 01:55:22 - mmengine - INFO - Iter(train) [128500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:56:16 time: 0.9741 data_time: 0.0191 memory: 20582 grad_norm: 21.8020 loss: 8.1399 loss_cls: 0.2468 loss_bbox: 0.1293 loss_iou: 0.2135 d0.loss_cls: 0.2739 d0.loss_bbox: 0.1407 d0.loss_iou: 0.2323 d1.loss_cls: 0.2641 d1.loss_bbox: 0.1328 d1.loss_iou: 0.2189 d2.loss_cls: 0.2523 d2.loss_bbox: 0.1322 d2.loss_iou: 0.2169 d3.loss_cls: 0.2523 d3.loss_bbox: 0.1281 d3.loss_iou: 0.2143 d4.loss_cls: 0.2472 d4.loss_bbox: 0.1292 d4.loss_iou: 0.2131 enc_loss_cls: 0.2889 enc_loss_bbox: 0.1510 enc_loss_iou: 0.2463 dn_loss_cls: 0.0678 dn_loss_bbox: 0.1577 dn_loss_iou: 0.1906 d0.dn_loss_cls: 0.1411 d0.dn_loss_bbox: 0.2960 d0.dn_loss_iou: 0.3294 d1.dn_loss_cls: 0.0908 d1.dn_loss_bbox: 0.1850 d1.dn_loss_iou: 0.2199 d2.dn_loss_cls: 0.0778 d2.dn_loss_bbox: 0.1644 d2.dn_loss_iou: 0.1984 d3.dn_loss_cls: 0.0719 d3.dn_loss_bbox: 0.1584 d3.dn_loss_iou: 0.1920 d4.dn_loss_cls: 0.0685 d4.dn_loss_bbox: 0.1578 d4.dn_loss_iou: 0.1907 d1.loss_lmm_region: 0.1106 loss_lmm_image: 0.7472 2024/11/04 01:56:59 - mmengine - INFO - Iter(train) [128600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:54:36 time: 0.9765 data_time: 0.0190 memory: 21402 grad_norm: 21.8796 loss: 9.7797 loss_cls: 0.2961 loss_bbox: 0.1594 loss_iou: 0.2845 d0.loss_cls: 0.3324 d0.loss_bbox: 0.1708 d0.loss_iou: 0.2927 d1.loss_cls: 0.3124 d1.loss_bbox: 0.1657 d1.loss_iou: 0.2904 d2.loss_cls: 0.3048 d2.loss_bbox: 0.1595 d2.loss_iou: 0.2843 d3.loss_cls: 0.3038 d3.loss_bbox: 0.1581 d3.loss_iou: 0.2822 d4.loss_cls: 0.2964 d4.loss_bbox: 0.1591 d4.loss_iou: 0.2835 enc_loss_cls: 0.3537 enc_loss_bbox: 0.1794 enc_loss_iou: 0.3106 dn_loss_cls: 0.0857 dn_loss_bbox: 0.1882 dn_loss_iou: 0.2408 d0.dn_loss_cls: 0.1732 d0.dn_loss_bbox: 0.3371 d0.dn_loss_iou: 0.3852 d1.dn_loss_cls: 0.1171 d1.dn_loss_bbox: 0.2216 d1.dn_loss_iou: 0.2714 d2.dn_loss_cls: 0.1031 d2.dn_loss_bbox: 0.1978 d2.dn_loss_iou: 0.2493 d3.dn_loss_cls: 0.0895 d3.dn_loss_bbox: 0.1904 d3.dn_loss_iou: 0.2425 d4.dn_loss_cls: 0.0857 d4.dn_loss_bbox: 0.1882 d4.dn_loss_iou: 0.2409 d1.loss_lmm_region: 0.1112 loss_lmm_image: 0.6808 2024/11/04 01:58:37 - mmengine - INFO - Iter(train) [128700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:52:57 time: 0.9788 data_time: 0.0190 memory: 21099 grad_norm: 23.1223 loss: 8.4792 loss_cls: 0.2471 loss_bbox: 0.1327 loss_iou: 0.2202 d0.loss_cls: 0.2738 d0.loss_bbox: 0.1535 d0.loss_iou: 0.2381 d1.loss_cls: 0.2628 d1.loss_bbox: 0.1385 d1.loss_iou: 0.2268 d2.loss_cls: 0.2564 d2.loss_bbox: 0.1327 d2.loss_iou: 0.2239 d3.loss_cls: 0.2515 d3.loss_bbox: 0.1339 d3.loss_iou: 0.2228 d4.loss_cls: 0.2513 d4.loss_bbox: 0.1305 d4.loss_iou: 0.2193 enc_loss_cls: 0.2915 enc_loss_bbox: 0.1644 enc_loss_iou: 0.2587 dn_loss_cls: 0.0644 dn_loss_bbox: 0.1781 dn_loss_iou: 0.2079 d0.dn_loss_cls: 0.1446 d0.dn_loss_bbox: 0.3250 d0.dn_loss_iou: 0.3499 d1.dn_loss_cls: 0.0915 d1.dn_loss_bbox: 0.2084 d1.dn_loss_iou: 0.2399 d2.dn_loss_cls: 0.0770 d2.dn_loss_bbox: 0.1855 d2.dn_loss_iou: 0.2164 d3.dn_loss_cls: 0.0715 d3.dn_loss_bbox: 0.1784 d3.dn_loss_iou: 0.2092 d4.dn_loss_cls: 0.0650 d4.dn_loss_bbox: 0.1782 d4.dn_loss_iou: 0.2080 d1.loss_lmm_region: 0.1115 loss_lmm_image: 0.7383 2024/11/04 02:00:15 - mmengine - INFO - Iter(train) [128800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:51:17 time: 0.9823 data_time: 0.0191 memory: 20422 grad_norm: 23.7119 loss: 8.2848 loss_cls: 0.3000 loss_bbox: 0.1041 loss_iou: 0.2268 d0.loss_cls: 0.3310 d0.loss_bbox: 0.1215 d0.loss_iou: 0.2479 d1.loss_cls: 0.3105 d1.loss_bbox: 0.1138 d1.loss_iou: 0.2373 d2.loss_cls: 0.3054 d2.loss_bbox: 0.1046 d2.loss_iou: 0.2293 d3.loss_cls: 0.3031 d3.loss_bbox: 0.1045 d3.loss_iou: 0.2269 d4.loss_cls: 0.3024 d4.loss_bbox: 0.1046 d4.loss_iou: 0.2270 enc_loss_cls: 0.3395 enc_loss_bbox: 0.1342 enc_loss_iou: 0.2686 dn_loss_cls: 0.0773 dn_loss_bbox: 0.1243 dn_loss_iou: 0.1894 d0.dn_loss_cls: 0.1490 d0.dn_loss_bbox: 0.2638 d0.dn_loss_iou: 0.3307 d1.dn_loss_cls: 0.1033 d1.dn_loss_bbox: 0.1587 d1.dn_loss_iou: 0.2242 d2.dn_loss_cls: 0.0904 d2.dn_loss_bbox: 0.1328 d2.dn_loss_iou: 0.1978 d3.dn_loss_cls: 0.0815 d3.dn_loss_bbox: 0.1264 d3.dn_loss_iou: 0.1910 d4.dn_loss_cls: 0.0777 d4.dn_loss_bbox: 0.1244 d4.dn_loss_iou: 0.1894 d1.loss_lmm_region: 0.0830 loss_lmm_image: 0.7266 2024/11/04 02:01:53 - mmengine - INFO - Iter(train) [128900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:49:37 time: 0.9789 data_time: 0.0189 memory: 20962 grad_norm: 18.5566 loss: 8.9234 loss_cls: 0.2660 loss_bbox: 0.1298 loss_iou: 0.2685 d0.loss_cls: 0.2980 d0.loss_bbox: 0.1453 d0.loss_iou: 0.2839 d1.loss_cls: 0.2852 d1.loss_bbox: 0.1306 d1.loss_iou: 0.2719 d2.loss_cls: 0.2769 d2.loss_bbox: 0.1309 d2.loss_iou: 0.2699 d3.loss_cls: 0.2743 d3.loss_bbox: 0.1281 d3.loss_iou: 0.2681 d4.loss_cls: 0.2662 d4.loss_bbox: 0.1298 d4.loss_iou: 0.2674 enc_loss_cls: 0.3234 enc_loss_bbox: 0.1523 enc_loss_iou: 0.3014 dn_loss_cls: 0.0649 dn_loss_bbox: 0.1497 dn_loss_iou: 0.2120 d0.dn_loss_cls: 0.1654 d0.dn_loss_bbox: 0.3197 d0.dn_loss_iou: 0.3626 d1.dn_loss_cls: 0.1045 d1.dn_loss_bbox: 0.1898 d1.dn_loss_iou: 0.2482 d2.dn_loss_cls: 0.0840 d2.dn_loss_bbox: 0.1595 d2.dn_loss_iou: 0.2214 d3.dn_loss_cls: 0.0723 d3.dn_loss_bbox: 0.1513 d3.dn_loss_iou: 0.2139 d4.dn_loss_cls: 0.0655 d4.dn_loss_bbox: 0.1496 d4.dn_loss_iou: 0.2120 d1.loss_lmm_region: 0.1206 loss_lmm_image: 0.7887 2024/11/04 02:03:31 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 02:03:31 - mmengine - INFO - Iter(train) [129000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:47:58 time: 0.9741 data_time: 0.0191 memory: 21242 grad_norm: 19.8763 loss: 8.6712 loss_cls: 0.2958 loss_bbox: 0.1121 loss_iou: 0.2429 d0.loss_cls: 0.3296 d0.loss_bbox: 0.1320 d0.loss_iou: 0.2704 d1.loss_cls: 0.3106 d1.loss_bbox: 0.1218 d1.loss_iou: 0.2526 d2.loss_cls: 0.3048 d2.loss_bbox: 0.1166 d2.loss_iou: 0.2482 d3.loss_cls: 0.3025 d3.loss_bbox: 0.1128 d3.loss_iou: 0.2445 d4.loss_cls: 0.2960 d4.loss_bbox: 0.1125 d4.loss_iou: 0.2444 enc_loss_cls: 0.3447 enc_loss_bbox: 0.1470 enc_loss_iou: 0.2895 dn_loss_cls: 0.0691 dn_loss_bbox: 0.1385 dn_loss_iou: 0.2134 d0.dn_loss_cls: 0.1584 d0.dn_loss_bbox: 0.2808 d0.dn_loss_iou: 0.3674 d1.dn_loss_cls: 0.1007 d1.dn_loss_bbox: 0.1712 d1.dn_loss_iou: 0.2463 d2.dn_loss_cls: 0.0823 d2.dn_loss_bbox: 0.1489 d2.dn_loss_iou: 0.2231 d3.dn_loss_cls: 0.0730 d3.dn_loss_bbox: 0.1401 d3.dn_loss_iou: 0.2150 d4.dn_loss_cls: 0.0693 d4.dn_loss_bbox: 0.1387 d4.dn_loss_iou: 0.2134 d1.loss_lmm_region: 0.1099 loss_lmm_image: 0.6807 2024/11/04 02:05:09 - mmengine - INFO - Iter(train) [129100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:46:18 time: 0.9800 data_time: 0.0190 memory: 21347 grad_norm: 17.8271 loss: 8.9701 loss_cls: 0.2839 loss_bbox: 0.1439 loss_iou: 0.2741 d0.loss_cls: 0.3145 d0.loss_bbox: 0.1509 d0.loss_iou: 0.2875 d1.loss_cls: 0.3008 d1.loss_bbox: 0.1422 d1.loss_iou: 0.2770 d2.loss_cls: 0.2938 d2.loss_bbox: 0.1396 d2.loss_iou: 0.2747 d3.loss_cls: 0.2874 d3.loss_bbox: 0.1424 d3.loss_iou: 0.2735 d4.loss_cls: 0.2836 d4.loss_bbox: 0.1436 d4.loss_iou: 0.2742 enc_loss_cls: 0.3302 enc_loss_bbox: 0.1652 enc_loss_iou: 0.3094 dn_loss_cls: 0.0644 dn_loss_bbox: 0.1475 dn_loss_iou: 0.2131 d0.dn_loss_cls: 0.1500 d0.dn_loss_bbox: 0.2880 d0.dn_loss_iou: 0.3500 d1.dn_loss_cls: 0.0917 d1.dn_loss_bbox: 0.1801 d1.dn_loss_iou: 0.2414 d2.dn_loss_cls: 0.0770 d2.dn_loss_bbox: 0.1557 d2.dn_loss_iou: 0.2201 d3.dn_loss_cls: 0.0688 d3.dn_loss_bbox: 0.1482 d3.dn_loss_iou: 0.2140 d4.dn_loss_cls: 0.0653 d4.dn_loss_bbox: 0.1475 d4.dn_loss_iou: 0.2131 d1.loss_lmm_region: 0.0959 loss_lmm_image: 0.7457 2024/11/04 02:06:47 - mmengine - INFO - Iter(train) [129200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:44:38 time: 0.9791 data_time: 0.0190 memory: 20905 grad_norm: 20.4180 loss: 9.3333 loss_cls: 0.2822 loss_bbox: 0.1500 loss_iou: 0.2722 d0.loss_cls: 0.3152 d0.loss_bbox: 0.1567 d0.loss_iou: 0.2819 d1.loss_cls: 0.2969 d1.loss_bbox: 0.1573 d1.loss_iou: 0.2768 d2.loss_cls: 0.2960 d2.loss_bbox: 0.1479 d2.loss_iou: 0.2674 d3.loss_cls: 0.2868 d3.loss_bbox: 0.1487 d3.loss_iou: 0.2705 d4.loss_cls: 0.2834 d4.loss_bbox: 0.1504 d4.loss_iou: 0.2711 enc_loss_cls: 0.3275 enc_loss_bbox: 0.1677 enc_loss_iou: 0.2992 dn_loss_cls: 0.0798 dn_loss_bbox: 0.1756 dn_loss_iou: 0.2401 d0.dn_loss_cls: 0.1590 d0.dn_loss_bbox: 0.3130 d0.dn_loss_iou: 0.3875 d1.dn_loss_cls: 0.1069 d1.dn_loss_bbox: 0.2012 d1.dn_loss_iou: 0.2688 d2.dn_loss_cls: 0.0935 d2.dn_loss_bbox: 0.1845 d2.dn_loss_iou: 0.2482 d3.dn_loss_cls: 0.0852 d3.dn_loss_bbox: 0.1774 d3.dn_loss_iou: 0.2417 d4.dn_loss_cls: 0.0806 d4.dn_loss_bbox: 0.1756 d4.dn_loss_iou: 0.2400 d1.loss_lmm_region: 0.1077 loss_lmm_image: 0.6611 2024/11/04 02:08:24 - mmengine - INFO - Iter(train) [129300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:42:58 time: 0.9759 data_time: 0.0191 memory: 19940 grad_norm: 18.8693 loss: 9.0223 loss_cls: 0.2789 loss_bbox: 0.1351 loss_iou: 0.2537 d0.loss_cls: 0.3161 d0.loss_bbox: 0.1507 d0.loss_iou: 0.2713 d1.loss_cls: 0.2992 d1.loss_bbox: 0.1436 d1.loss_iou: 0.2589 d2.loss_cls: 0.2958 d2.loss_bbox: 0.1338 d2.loss_iou: 0.2529 d3.loss_cls: 0.2874 d3.loss_bbox: 0.1350 d3.loss_iou: 0.2540 d4.loss_cls: 0.2821 d4.loss_bbox: 0.1345 d4.loss_iou: 0.2542 enc_loss_cls: 0.3318 enc_loss_bbox: 0.1594 enc_loss_iou: 0.2878 dn_loss_cls: 0.0879 dn_loss_bbox: 0.1628 dn_loss_iou: 0.2160 d0.dn_loss_cls: 0.1673 d0.dn_loss_bbox: 0.3170 d0.dn_loss_iou: 0.3685 d1.dn_loss_cls: 0.1209 d1.dn_loss_bbox: 0.1943 d1.dn_loss_iou: 0.2504 d2.dn_loss_cls: 0.1039 d2.dn_loss_bbox: 0.1708 d2.dn_loss_iou: 0.2246 d3.dn_loss_cls: 0.0938 d3.dn_loss_bbox: 0.1643 d3.dn_loss_iou: 0.2173 d4.dn_loss_cls: 0.0889 d4.dn_loss_bbox: 0.1630 d4.dn_loss_iou: 0.2162 d1.loss_lmm_region: 0.0973 loss_lmm_image: 0.6813 2024/11/04 02:10:01 - mmengine - INFO - Iter(train) [129400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:41:19 time: 0.9730 data_time: 0.0190 memory: 20747 grad_norm: 19.3443 loss: 9.1232 loss_cls: 0.2929 loss_bbox: 0.1376 loss_iou: 0.2498 d0.loss_cls: 0.3254 d0.loss_bbox: 0.1498 d0.loss_iou: 0.2627 d1.loss_cls: 0.3110 d1.loss_bbox: 0.1381 d1.loss_iou: 0.2534 d2.loss_cls: 0.3065 d2.loss_bbox: 0.1371 d2.loss_iou: 0.2492 d3.loss_cls: 0.2953 d3.loss_bbox: 0.1393 d3.loss_iou: 0.2517 d4.loss_cls: 0.2908 d4.loss_bbox: 0.1383 d4.loss_iou: 0.2506 enc_loss_cls: 0.3426 enc_loss_bbox: 0.1609 enc_loss_iou: 0.2806 dn_loss_cls: 0.0766 dn_loss_bbox: 0.1669 dn_loss_iou: 0.2260 d0.dn_loss_cls: 0.1618 d0.dn_loss_bbox: 0.3168 d0.dn_loss_iou: 0.3715 d1.dn_loss_cls: 0.1050 d1.dn_loss_bbox: 0.2006 d1.dn_loss_iou: 0.2585 d2.dn_loss_cls: 0.0893 d2.dn_loss_bbox: 0.1764 d2.dn_loss_iou: 0.2347 d3.dn_loss_cls: 0.0799 d3.dn_loss_bbox: 0.1679 d3.dn_loss_iou: 0.2273 d4.dn_loss_cls: 0.0778 d4.dn_loss_bbox: 0.1669 d4.dn_loss_iou: 0.2260 d1.loss_lmm_region: 0.1156 loss_lmm_image: 0.7143 2024/11/04 02:11:39 - mmengine - INFO - Iter(train) [129500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:39:39 time: 0.9744 data_time: 0.0190 memory: 20665 grad_norm: 18.6457 loss: 7.9133 loss_cls: 0.2320 loss_bbox: 0.1154 loss_iou: 0.2025 d0.loss_cls: 0.2574 d0.loss_bbox: 0.1279 d0.loss_iou: 0.2143 d1.loss_cls: 0.2506 d1.loss_bbox: 0.1173 d1.loss_iou: 0.2047 d2.loss_cls: 0.2445 d2.loss_bbox: 0.1139 d2.loss_iou: 0.2016 d3.loss_cls: 0.2403 d3.loss_bbox: 0.1132 d3.loss_iou: 0.2011 d4.loss_cls: 0.2337 d4.loss_bbox: 0.1143 d4.loss_iou: 0.2032 enc_loss_cls: 0.2757 enc_loss_bbox: 0.1390 enc_loss_iou: 0.2334 dn_loss_cls: 0.0688 dn_loss_bbox: 0.1590 dn_loss_iou: 0.2009 d0.dn_loss_cls: 0.1487 d0.dn_loss_bbox: 0.2919 d0.dn_loss_iou: 0.3339 d1.dn_loss_cls: 0.0971 d1.dn_loss_bbox: 0.1905 d1.dn_loss_iou: 0.2299 d2.dn_loss_cls: 0.0836 d2.dn_loss_bbox: 0.1673 d2.dn_loss_iou: 0.2087 d3.dn_loss_cls: 0.0731 d3.dn_loss_bbox: 0.1606 d3.dn_loss_iou: 0.2022 d4.dn_loss_cls: 0.0690 d4.dn_loss_bbox: 0.1589 d4.dn_loss_iou: 0.2008 d1.loss_lmm_region: 0.1037 loss_lmm_image: 0.7290 2024/11/04 02:13:16 - mmengine - INFO - Iter(train) [129600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:37:59 time: 0.9725 data_time: 0.0192 memory: 20146 grad_norm: 19.8190 loss: 8.8262 loss_cls: 0.2939 loss_bbox: 0.1260 loss_iou: 0.2509 d0.loss_cls: 0.3213 d0.loss_bbox: 0.1456 d0.loss_iou: 0.2689 d1.loss_cls: 0.3096 d1.loss_bbox: 0.1340 d1.loss_iou: 0.2553 d2.loss_cls: 0.3023 d2.loss_bbox: 0.1277 d2.loss_iou: 0.2514 d3.loss_cls: 0.2959 d3.loss_bbox: 0.1264 d3.loss_iou: 0.2489 d4.loss_cls: 0.2948 d4.loss_bbox: 0.1261 d4.loss_iou: 0.2510 enc_loss_cls: 0.3498 enc_loss_bbox: 0.1592 enc_loss_iou: 0.2885 dn_loss_cls: 0.0869 dn_loss_bbox: 0.1527 dn_loss_iou: 0.2049 d0.dn_loss_cls: 0.1614 d0.dn_loss_bbox: 0.2906 d0.dn_loss_iou: 0.3382 d1.dn_loss_cls: 0.1139 d1.dn_loss_bbox: 0.1850 d1.dn_loss_iou: 0.2357 d2.dn_loss_cls: 0.0955 d2.dn_loss_bbox: 0.1610 d2.dn_loss_iou: 0.2135 d3.dn_loss_cls: 0.0896 d3.dn_loss_bbox: 0.1549 d3.dn_loss_iou: 0.2069 d4.dn_loss_cls: 0.0860 d4.dn_loss_bbox: 0.1526 d4.dn_loss_iou: 0.2048 d1.loss_lmm_region: 0.0959 loss_lmm_image: 0.6687 2024/11/04 02:14:53 - mmengine - INFO - Iter(train) [129700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:36:19 time: 0.9741 data_time: 0.0190 memory: 20951 grad_norm: 21.0205 loss: 9.0489 loss_cls: 0.2825 loss_bbox: 0.1461 loss_iou: 0.2674 d0.loss_cls: 0.3203 d0.loss_bbox: 0.1571 d0.loss_iou: 0.2842 d1.loss_cls: 0.3051 d1.loss_bbox: 0.1477 d1.loss_iou: 0.2712 d2.loss_cls: 0.2978 d2.loss_bbox: 0.1406 d2.loss_iou: 0.2637 d3.loss_cls: 0.2920 d3.loss_bbox: 0.1429 d3.loss_iou: 0.2645 d4.loss_cls: 0.2860 d4.loss_bbox: 0.1433 d4.loss_iou: 0.2647 enc_loss_cls: 0.3366 enc_loss_bbox: 0.1731 enc_loss_iou: 0.3045 dn_loss_cls: 0.0835 dn_loss_bbox: 0.1476 dn_loss_iou: 0.2038 d0.dn_loss_cls: 0.1686 d0.dn_loss_bbox: 0.2937 d0.dn_loss_iou: 0.3473 d1.dn_loss_cls: 0.1166 d1.dn_loss_bbox: 0.1827 d1.dn_loss_iou: 0.2362 d2.dn_loss_cls: 0.1011 d2.dn_loss_bbox: 0.1573 d2.dn_loss_iou: 0.2130 d3.dn_loss_cls: 0.0897 d3.dn_loss_bbox: 0.1491 d3.dn_loss_iou: 0.2051 d4.dn_loss_cls: 0.0844 d4.dn_loss_bbox: 0.1475 d4.dn_loss_iou: 0.2037 d1.loss_lmm_region: 0.1112 loss_lmm_image: 0.7152 2024/11/04 02:16:32 - mmengine - INFO - Iter(train) [129800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:34:40 time: 0.9801 data_time: 0.0190 memory: 21058 grad_norm: 20.7586 loss: 7.9362 loss_cls: 0.2330 loss_bbox: 0.1149 loss_iou: 0.2199 d0.loss_cls: 0.2612 d0.loss_bbox: 0.1336 d0.loss_iou: 0.2342 d1.loss_cls: 0.2477 d1.loss_bbox: 0.1216 d1.loss_iou: 0.2262 d2.loss_cls: 0.2411 d2.loss_bbox: 0.1164 d2.loss_iou: 0.2221 d3.loss_cls: 0.2386 d3.loss_bbox: 0.1168 d3.loss_iou: 0.2191 d4.loss_cls: 0.2354 d4.loss_bbox: 0.1143 d4.loss_iou: 0.2176 enc_loss_cls: 0.2784 enc_loss_bbox: 0.1409 enc_loss_iou: 0.2486 dn_loss_cls: 0.0709 dn_loss_bbox: 0.1464 dn_loss_iou: 0.1955 d0.dn_loss_cls: 0.1483 d0.dn_loss_bbox: 0.2817 d0.dn_loss_iou: 0.3299 d1.dn_loss_cls: 0.0953 d1.dn_loss_bbox: 0.1748 d1.dn_loss_iou: 0.2239 d2.dn_loss_cls: 0.0790 d2.dn_loss_bbox: 0.1520 d2.dn_loss_iou: 0.2019 d3.dn_loss_cls: 0.0729 d3.dn_loss_bbox: 0.1470 d3.dn_loss_iou: 0.1967 d4.dn_loss_cls: 0.0707 d4.dn_loss_bbox: 0.1464 d4.dn_loss_iou: 0.1955 d1.loss_lmm_region: 0.0951 loss_lmm_image: 0.7307 2024/11/04 02:18:09 - mmengine - INFO - Iter(train) [129900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:33:00 time: 0.9637 data_time: 0.0191 memory: 21532 grad_norm: 23.8613 loss: 8.9253 loss_cls: 0.2882 loss_bbox: 0.1320 loss_iou: 0.2311 d0.loss_cls: 0.3303 d0.loss_bbox: 0.1420 d0.loss_iou: 0.2474 d1.loss_cls: 0.3110 d1.loss_bbox: 0.1351 d1.loss_iou: 0.2369 d2.loss_cls: 0.3009 d2.loss_bbox: 0.1317 d2.loss_iou: 0.2335 d3.loss_cls: 0.2952 d3.loss_bbox: 0.1308 d3.loss_iou: 0.2307 d4.loss_cls: 0.2898 d4.loss_bbox: 0.1305 d4.loss_iou: 0.2314 enc_loss_cls: 0.3501 enc_loss_bbox: 0.1531 enc_loss_iou: 0.2634 dn_loss_cls: 0.0812 dn_loss_bbox: 0.1764 dn_loss_iou: 0.2043 d0.dn_loss_cls: 0.1659 d0.dn_loss_bbox: 0.3367 d0.dn_loss_iou: 0.3430 d1.dn_loss_cls: 0.1126 d1.dn_loss_bbox: 0.2121 d1.dn_loss_iou: 0.2335 d2.dn_loss_cls: 0.0952 d2.dn_loss_bbox: 0.1860 d2.dn_loss_iou: 0.2127 d3.dn_loss_cls: 0.0864 d3.dn_loss_bbox: 0.1791 d3.dn_loss_iou: 0.2062 d4.dn_loss_cls: 0.0813 d4.dn_loss_bbox: 0.1764 d4.dn_loss_iou: 0.2043 d1.loss_lmm_region: 0.1117 loss_lmm_image: 0.7249 2024/11/04 02:19:47 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 02:19:47 - mmengine - INFO - Iter(train) [130000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:31:21 time: 0.9724 data_time: 0.0189 memory: 21888 grad_norm: 21.5042 loss: 8.1059 loss_cls: 0.2702 loss_bbox: 0.1069 loss_iou: 0.2007 d0.loss_cls: 0.2887 d0.loss_bbox: 0.1159 d0.loss_iou: 0.2122 d1.loss_cls: 0.2755 d1.loss_bbox: 0.1113 d1.loss_iou: 0.2069 d2.loss_cls: 0.2774 d2.loss_bbox: 0.1050 d2.loss_iou: 0.1993 d3.loss_cls: 0.2767 d3.loss_bbox: 0.1055 d3.loss_iou: 0.1993 d4.loss_cls: 0.2743 d4.loss_bbox: 0.1054 d4.loss_iou: 0.1987 enc_loss_cls: 0.3044 enc_loss_bbox: 0.1282 enc_loss_iou: 0.2283 dn_loss_cls: 0.0911 dn_loss_bbox: 0.1408 dn_loss_iou: 0.1916 d0.dn_loss_cls: 0.1811 d0.dn_loss_bbox: 0.2979 d0.dn_loss_iou: 0.3327 d1.dn_loss_cls: 0.1198 d1.dn_loss_bbox: 0.1716 d1.dn_loss_iou: 0.2183 d2.dn_loss_cls: 0.1052 d2.dn_loss_bbox: 0.1501 d2.dn_loss_iou: 0.1995 d3.dn_loss_cls: 0.0932 d3.dn_loss_bbox: 0.1420 d3.dn_loss_iou: 0.1926 d4.dn_loss_cls: 0.0908 d4.dn_loss_bbox: 0.1409 d4.dn_loss_iou: 0.1915 d1.loss_lmm_region: 0.1168 loss_lmm_image: 0.7478 2024/11/04 02:21:24 - mmengine - INFO - Iter(train) [130100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:29:41 time: 0.9764 data_time: 0.0190 memory: 20903 grad_norm: nan loss: 9.4164 loss_cls: 0.2704 loss_bbox: 0.1418 loss_iou: 0.2780 d0.loss_cls: 0.2950 d0.loss_bbox: 0.1532 d0.loss_iou: 0.2969 d1.loss_cls: 0.2817 d1.loss_bbox: 0.1515 d1.loss_iou: 0.2872 d2.loss_cls: 0.2779 d2.loss_bbox: 0.1452 d2.loss_iou: 0.2831 d3.loss_cls: 0.2701 d3.loss_bbox: 0.1453 d3.loss_iou: 0.2837 d4.loss_cls: 0.2693 d4.loss_bbox: 0.1426 d4.loss_iou: 0.2833 enc_loss_cls: 0.3158 enc_loss_bbox: 0.1624 enc_loss_iou: 0.3091 dn_loss_cls: 0.0818 dn_loss_bbox: 0.1717 dn_loss_iou: 0.2505 d0.dn_loss_cls: 0.1650 d0.dn_loss_bbox: 0.3226 d0.dn_loss_iou: 0.3965 d1.dn_loss_cls: 0.1120 d1.dn_loss_bbox: 0.2040 d1.dn_loss_iou: 0.2824 d2.dn_loss_cls: 0.1003 d2.dn_loss_bbox: 0.1813 d2.dn_loss_iou: 0.2593 d3.dn_loss_cls: 0.0899 d3.dn_loss_bbox: 0.1726 d3.dn_loss_iou: 0.2517 d4.dn_loss_cls: 0.0828 d4.dn_loss_bbox: 0.1718 d4.dn_loss_iou: 0.2506 d1.loss_lmm_region: 0.1091 loss_lmm_image: 0.7169 2024/11/04 02:23:02 - mmengine - INFO - Iter(train) [130200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:28:01 time: 0.9722 data_time: 0.0192 memory: 20439 grad_norm: 25.6137 loss: 8.7660 loss_cls: 0.2552 loss_bbox: 0.1281 loss_iou: 0.2454 d0.loss_cls: 0.2811 d0.loss_bbox: 0.1418 d0.loss_iou: 0.2644 d1.loss_cls: 0.2676 d1.loss_bbox: 0.1325 d1.loss_iou: 0.2525 d2.loss_cls: 0.2604 d2.loss_bbox: 0.1277 d2.loss_iou: 0.2436 d3.loss_cls: 0.2569 d3.loss_bbox: 0.1284 d3.loss_iou: 0.2432 d4.loss_cls: 0.2531 d4.loss_bbox: 0.1286 d4.loss_iou: 0.2455 enc_loss_cls: 0.2981 enc_loss_bbox: 0.1579 enc_loss_iou: 0.2790 dn_loss_cls: 0.0628 dn_loss_bbox: 0.1705 dn_loss_iou: 0.2340 d0.dn_loss_cls: 0.1669 d0.dn_loss_bbox: 0.3514 d0.dn_loss_iou: 0.4010 d1.dn_loss_cls: 0.0993 d1.dn_loss_bbox: 0.2078 d1.dn_loss_iou: 0.2686 d2.dn_loss_cls: 0.0799 d2.dn_loss_bbox: 0.1796 d2.dn_loss_iou: 0.2433 d3.dn_loss_cls: 0.0699 d3.dn_loss_bbox: 0.1716 d3.dn_loss_iou: 0.2358 d4.dn_loss_cls: 0.0643 d4.dn_loss_bbox: 0.1705 d4.dn_loss_iou: 0.2340 d1.loss_lmm_region: 0.1042 loss_lmm_image: 0.6599 2024/11/04 02:24:40 - mmengine - INFO - Iter(train) [130300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:26:21 time: 0.9804 data_time: 0.0189 memory: 21007 grad_norm: 20.4988 loss: 9.3257 loss_cls: 0.2724 loss_bbox: 0.1528 loss_iou: 0.2650 d0.loss_cls: 0.3052 d0.loss_bbox: 0.1713 d0.loss_iou: 0.2854 d1.loss_cls: 0.2879 d1.loss_bbox: 0.1592 d1.loss_iou: 0.2748 d2.loss_cls: 0.2813 d2.loss_bbox: 0.1539 d2.loss_iou: 0.2679 d3.loss_cls: 0.2804 d3.loss_bbox: 0.1504 d3.loss_iou: 0.2650 d4.loss_cls: 0.2753 d4.loss_bbox: 0.1508 d4.loss_iou: 0.2645 enc_loss_cls: 0.3275 enc_loss_bbox: 0.1825 enc_loss_iou: 0.3045 dn_loss_cls: 0.0753 dn_loss_bbox: 0.1703 dn_loss_iou: 0.2322 d0.dn_loss_cls: 0.1622 d0.dn_loss_bbox: 0.3380 d0.dn_loss_iou: 0.3905 d1.dn_loss_cls: 0.1071 d1.dn_loss_bbox: 0.2098 d1.dn_loss_iou: 0.2681 d2.dn_loss_cls: 0.0900 d2.dn_loss_bbox: 0.1808 d2.dn_loss_iou: 0.2418 d3.dn_loss_cls: 0.0799 d3.dn_loss_bbox: 0.1720 d3.dn_loss_iou: 0.2339 d4.dn_loss_cls: 0.0760 d4.dn_loss_bbox: 0.1703 d4.dn_loss_iou: 0.2322 d1.loss_lmm_region: 0.1062 loss_lmm_image: 0.7110 2024/11/04 02:26:17 - mmengine - INFO - Iter(train) [130400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:24:42 time: 0.9753 data_time: 0.0189 memory: 20811 grad_norm: 18.4427 loss: 8.8439 loss_cls: 0.2627 loss_bbox: 0.1466 loss_iou: 0.2298 d0.loss_cls: 0.2885 d0.loss_bbox: 0.1607 d0.loss_iou: 0.2419 d1.loss_cls: 0.2797 d1.loss_bbox: 0.1534 d1.loss_iou: 0.2341 d2.loss_cls: 0.2723 d2.loss_bbox: 0.1515 d2.loss_iou: 0.2289 d3.loss_cls: 0.2682 d3.loss_bbox: 0.1481 d3.loss_iou: 0.2288 d4.loss_cls: 0.2646 d4.loss_bbox: 0.1483 d4.loss_iou: 0.2300 enc_loss_cls: 0.3081 enc_loss_bbox: 0.1642 enc_loss_iou: 0.2526 dn_loss_cls: 0.0729 dn_loss_bbox: 0.1739 dn_loss_iou: 0.2234 d0.dn_loss_cls: 0.1574 d0.dn_loss_bbox: 0.3244 d0.dn_loss_iou: 0.3712 d1.dn_loss_cls: 0.1029 d1.dn_loss_bbox: 0.2036 d1.dn_loss_iou: 0.2534 d2.dn_loss_cls: 0.0866 d2.dn_loss_bbox: 0.1823 d2.dn_loss_iou: 0.2315 d3.dn_loss_cls: 0.0768 d3.dn_loss_bbox: 0.1751 d3.dn_loss_iou: 0.2248 d4.dn_loss_cls: 0.0735 d4.dn_loss_bbox: 0.1738 d4.dn_loss_iou: 0.2234 d1.loss_lmm_region: 0.1138 loss_lmm_image: 0.7361 2024/11/04 02:27:54 - mmengine - INFO - Iter(train) [130500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:23:02 time: 0.9754 data_time: 0.0190 memory: 21865 grad_norm: 18.5301 loss: 9.4677 loss_cls: 0.3236 loss_bbox: 0.1313 loss_iou: 0.2518 d0.loss_cls: 0.3561 d0.loss_bbox: 0.1460 d0.loss_iou: 0.2722 d1.loss_cls: 0.3394 d1.loss_bbox: 0.1348 d1.loss_iou: 0.2584 d2.loss_cls: 0.3315 d2.loss_bbox: 0.1320 d2.loss_iou: 0.2551 d3.loss_cls: 0.3274 d3.loss_bbox: 0.1322 d3.loss_iou: 0.2507 d4.loss_cls: 0.3249 d4.loss_bbox: 0.1301 d4.loss_iou: 0.2506 enc_loss_cls: 0.3770 enc_loss_bbox: 0.1610 enc_loss_iou: 0.2943 dn_loss_cls: 0.1170 dn_loss_bbox: 0.1618 dn_loss_iou: 0.2217 d0.dn_loss_cls: 0.1951 d0.dn_loss_bbox: 0.3036 d0.dn_loss_iou: 0.3707 d1.dn_loss_cls: 0.1438 d1.dn_loss_bbox: 0.1923 d1.dn_loss_iou: 0.2538 d2.dn_loss_cls: 0.1271 d2.dn_loss_bbox: 0.1695 d2.dn_loss_iou: 0.2301 d3.dn_loss_cls: 0.1226 d3.dn_loss_bbox: 0.1634 d3.dn_loss_iou: 0.2236 d4.dn_loss_cls: 0.1182 d4.dn_loss_bbox: 0.1619 d4.dn_loss_iou: 0.2219 d1.loss_lmm_region: 0.1032 loss_lmm_image: 0.6862 2024/11/04 02:29:32 - mmengine - INFO - Iter(train) [130600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:21:22 time: 0.9733 data_time: 0.0191 memory: 21172 grad_norm: 21.7209 loss: 9.4561 loss_cls: 0.3048 loss_bbox: 0.1525 loss_iou: 0.2726 d0.loss_cls: 0.3485 d0.loss_bbox: 0.1575 d0.loss_iou: 0.2844 d1.loss_cls: 0.3285 d1.loss_bbox: 0.1529 d1.loss_iou: 0.2775 d2.loss_cls: 0.3159 d2.loss_bbox: 0.1508 d2.loss_iou: 0.2736 d3.loss_cls: 0.3129 d3.loss_bbox: 0.1497 d3.loss_iou: 0.2704 d4.loss_cls: 0.3067 d4.loss_bbox: 0.1514 d4.loss_iou: 0.2721 enc_loss_cls: 0.3669 enc_loss_bbox: 0.1650 enc_loss_iou: 0.3022 dn_loss_cls: 0.0789 dn_loss_bbox: 0.1732 dn_loss_iou: 0.2191 d0.dn_loss_cls: 0.1723 d0.dn_loss_bbox: 0.3313 d0.dn_loss_iou: 0.3647 d1.dn_loss_cls: 0.1107 d1.dn_loss_bbox: 0.2083 d1.dn_loss_iou: 0.2519 d2.dn_loss_cls: 0.0945 d2.dn_loss_bbox: 0.1816 d2.dn_loss_iou: 0.2269 d3.dn_loss_cls: 0.0827 d3.dn_loss_bbox: 0.1759 d3.dn_loss_iou: 0.2207 d4.dn_loss_cls: 0.0797 d4.dn_loss_bbox: 0.1732 d4.dn_loss_iou: 0.2189 d1.loss_lmm_region: 0.1172 loss_lmm_image: 0.6576 2024/11/04 02:31:10 - mmengine - INFO - Iter(train) [130700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:19:43 time: 0.9704 data_time: 0.0190 memory: 22204 grad_norm: nan loss: 9.9292 loss_cls: 0.3136 loss_bbox: 0.1615 loss_iou: 0.2709 d0.loss_cls: 0.3405 d0.loss_bbox: 0.1861 d0.loss_iou: 0.2920 d1.loss_cls: 0.3255 d1.loss_bbox: 0.1700 d1.loss_iou: 0.2799 d2.loss_cls: 0.3188 d2.loss_bbox: 0.1666 d2.loss_iou: 0.2749 d3.loss_cls: 0.3168 d3.loss_bbox: 0.1645 d3.loss_iou: 0.2733 d4.loss_cls: 0.3127 d4.loss_bbox: 0.1627 d4.loss_iou: 0.2720 enc_loss_cls: 0.3588 enc_loss_bbox: 0.1991 enc_loss_iou: 0.3083 dn_loss_cls: 0.1069 dn_loss_bbox: 0.1902 dn_loss_iou: 0.2336 d0.dn_loss_cls: 0.1895 d0.dn_loss_bbox: 0.3290 d0.dn_loss_iou: 0.3752 d1.dn_loss_cls: 0.1392 d1.dn_loss_bbox: 0.2166 d1.dn_loss_iou: 0.2633 d2.dn_loss_cls: 0.1214 d2.dn_loss_bbox: 0.1945 d2.dn_loss_iou: 0.2407 d3.dn_loss_cls: 0.1128 d3.dn_loss_bbox: 0.1905 d3.dn_loss_iou: 0.2351 d4.dn_loss_cls: 0.1074 d4.dn_loss_bbox: 0.1901 d4.dn_loss_iou: 0.2335 d1.loss_lmm_region: 0.1192 loss_lmm_image: 0.6719 2024/11/04 02:32:47 - mmengine - INFO - Iter(train) [130800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:18:03 time: 0.9747 data_time: 0.0190 memory: 20767 grad_norm: 18.4566 loss: 9.1763 loss_cls: 0.2796 loss_bbox: 0.1576 loss_iou: 0.2663 d0.loss_cls: 0.3218 d0.loss_bbox: 0.1648 d0.loss_iou: 0.2782 d1.loss_cls: 0.3018 d1.loss_bbox: 0.1567 d1.loss_iou: 0.2686 d2.loss_cls: 0.2944 d2.loss_bbox: 0.1556 d2.loss_iou: 0.2641 d3.loss_cls: 0.2866 d3.loss_bbox: 0.1564 d3.loss_iou: 0.2640 d4.loss_cls: 0.2800 d4.loss_bbox: 0.1583 d4.loss_iou: 0.2659 enc_loss_cls: 0.3368 enc_loss_bbox: 0.1692 enc_loss_iou: 0.2905 dn_loss_cls: 0.0824 dn_loss_bbox: 0.1573 dn_loss_iou: 0.2139 d0.dn_loss_cls: 0.1693 d0.dn_loss_bbox: 0.2990 d0.dn_loss_iou: 0.3537 d1.dn_loss_cls: 0.1168 d1.dn_loss_bbox: 0.1906 d1.dn_loss_iou: 0.2433 d2.dn_loss_cls: 0.0976 d2.dn_loss_bbox: 0.1657 d2.dn_loss_iou: 0.2212 d3.dn_loss_cls: 0.0878 d3.dn_loss_bbox: 0.1588 d3.dn_loss_iou: 0.2153 d4.dn_loss_cls: 0.0837 d4.dn_loss_bbox: 0.1574 d4.dn_loss_iou: 0.2139 d1.loss_lmm_region: 0.1093 loss_lmm_image: 0.7220 2024/11/04 02:34:25 - mmengine - INFO - Iter(train) [130900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:16:23 time: 0.9720 data_time: 0.0192 memory: 20476 grad_norm: 20.0129 loss: 9.2483 loss_cls: 0.2817 loss_bbox: 0.1470 loss_iou: 0.2645 d0.loss_cls: 0.3136 d0.loss_bbox: 0.1567 d0.loss_iou: 0.2777 d1.loss_cls: 0.2944 d1.loss_bbox: 0.1533 d1.loss_iou: 0.2744 d2.loss_cls: 0.2900 d2.loss_bbox: 0.1492 d2.loss_iou: 0.2677 d3.loss_cls: 0.2891 d3.loss_bbox: 0.1462 d3.loss_iou: 0.2648 d4.loss_cls: 0.2837 d4.loss_bbox: 0.1448 d4.loss_iou: 0.2643 enc_loss_cls: 0.3207 enc_loss_bbox: 0.1698 enc_loss_iou: 0.2967 dn_loss_cls: 0.0899 dn_loss_bbox: 0.1620 dn_loss_iou: 0.2220 d0.dn_loss_cls: 0.1801 d0.dn_loss_bbox: 0.2922 d0.dn_loss_iou: 0.3601 d1.dn_loss_cls: 0.1264 d1.dn_loss_bbox: 0.1902 d1.dn_loss_iou: 0.2515 d2.dn_loss_cls: 0.1062 d2.dn_loss_bbox: 0.1709 d2.dn_loss_iou: 0.2302 d3.dn_loss_cls: 0.0957 d3.dn_loss_bbox: 0.1636 d3.dn_loss_iou: 0.2234 d4.dn_loss_cls: 0.0907 d4.dn_loss_bbox: 0.1620 d4.dn_loss_iou: 0.2219 d1.loss_lmm_region: 0.1257 loss_lmm_image: 0.7332 2024/11/04 02:36:03 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 02:36:03 - mmengine - INFO - Iter(train) [131000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:14:44 time: 0.9897 data_time: 0.0191 memory: 19691 grad_norm: 21.1857 loss: 8.7311 loss_cls: 0.2546 loss_bbox: 0.1345 loss_iou: 0.2492 d0.loss_cls: 0.2843 d0.loss_bbox: 0.1441 d0.loss_iou: 0.2671 d1.loss_cls: 0.2693 d1.loss_bbox: 0.1361 d1.loss_iou: 0.2541 d2.loss_cls: 0.2613 d2.loss_bbox: 0.1341 d2.loss_iou: 0.2501 d3.loss_cls: 0.2561 d3.loss_bbox: 0.1345 d3.loss_iou: 0.2490 d4.loss_cls: 0.2575 d4.loss_bbox: 0.1317 d4.loss_iou: 0.2484 enc_loss_cls: 0.3025 enc_loss_bbox: 0.1545 enc_loss_iou: 0.2804 dn_loss_cls: 0.0787 dn_loss_bbox: 0.1585 dn_loss_iou: 0.2211 d0.dn_loss_cls: 0.1671 d0.dn_loss_bbox: 0.3102 d0.dn_loss_iou: 0.3650 d1.dn_loss_cls: 0.1090 d1.dn_loss_bbox: 0.1913 d1.dn_loss_iou: 0.2522 d2.dn_loss_cls: 0.0942 d2.dn_loss_bbox: 0.1666 d2.dn_loss_iou: 0.2286 d3.dn_loss_cls: 0.0838 d3.dn_loss_bbox: 0.1594 d3.dn_loss_iou: 0.2227 d4.dn_loss_cls: 0.0798 d4.dn_loss_bbox: 0.1585 d4.dn_loss_iou: 0.2210 d1.loss_lmm_region: 0.1171 loss_lmm_image: 0.6930 2024/11/04 02:37:40 - mmengine - INFO - Iter(train) [131100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:13:04 time: 0.9598 data_time: 0.0190 memory: 21200 grad_norm: 18.8108 loss: 9.9651 loss_cls: 0.2882 loss_bbox: 0.1742 loss_iou: 0.2860 d0.loss_cls: 0.3246 d0.loss_bbox: 0.1927 d0.loss_iou: 0.3052 d1.loss_cls: 0.3096 d1.loss_bbox: 0.1795 d1.loss_iou: 0.2925 d2.loss_cls: 0.3050 d2.loss_bbox: 0.1727 d2.loss_iou: 0.2830 d3.loss_cls: 0.2968 d3.loss_bbox: 0.1717 d3.loss_iou: 0.2832 d4.loss_cls: 0.2902 d4.loss_bbox: 0.1733 d4.loss_iou: 0.2859 enc_loss_cls: 0.3398 enc_loss_bbox: 0.2042 enc_loss_iou: 0.3182 dn_loss_cls: 0.0845 dn_loss_bbox: 0.2016 dn_loss_iou: 0.2514 d0.dn_loss_cls: 0.1663 d0.dn_loss_bbox: 0.3584 d0.dn_loss_iou: 0.4012 d1.dn_loss_cls: 0.1081 d1.dn_loss_bbox: 0.2301 d1.dn_loss_iou: 0.2819 d2.dn_loss_cls: 0.0945 d2.dn_loss_bbox: 0.2090 d2.dn_loss_iou: 0.2589 d3.dn_loss_cls: 0.0875 d3.dn_loss_bbox: 0.2026 d3.dn_loss_iou: 0.2520 d4.dn_loss_cls: 0.0854 d4.dn_loss_bbox: 0.2015 d4.dn_loss_iou: 0.2513 d1.loss_lmm_region: 0.1092 loss_lmm_image: 0.6535 2024/11/04 02:39:17 - mmengine - INFO - Iter(train) [131200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:11:24 time: 0.9704 data_time: 0.0192 memory: 21121 grad_norm: 20.4465 loss: 9.7567 loss_cls: 0.3146 loss_bbox: 0.1633 loss_iou: 0.2883 d0.loss_cls: 0.3517 d0.loss_bbox: 0.1799 d0.loss_iou: 0.3047 d1.loss_cls: 0.3332 d1.loss_bbox: 0.1689 d1.loss_iou: 0.2955 d2.loss_cls: 0.3196 d2.loss_bbox: 0.1661 d2.loss_iou: 0.2942 d3.loss_cls: 0.3172 d3.loss_bbox: 0.1636 d3.loss_iou: 0.2907 d4.loss_cls: 0.3157 d4.loss_bbox: 0.1637 d4.loss_iou: 0.2884 enc_loss_cls: 0.3666 enc_loss_bbox: 0.1930 enc_loss_iou: 0.3202 dn_loss_cls: 0.0668 dn_loss_bbox: 0.1719 dn_loss_iou: 0.2220 d0.dn_loss_cls: 0.1635 d0.dn_loss_bbox: 0.3333 d0.dn_loss_iou: 0.3709 d1.dn_loss_cls: 0.1016 d1.dn_loss_bbox: 0.2071 d1.dn_loss_iou: 0.2549 d2.dn_loss_cls: 0.0802 d2.dn_loss_bbox: 0.1809 d2.dn_loss_iou: 0.2307 d3.dn_loss_cls: 0.0716 d3.dn_loss_bbox: 0.1738 d3.dn_loss_iou: 0.2237 d4.dn_loss_cls: 0.0672 d4.dn_loss_bbox: 0.1719 d4.dn_loss_iou: 0.2220 d1.loss_lmm_region: 0.1144 loss_lmm_image: 0.7291 2024/11/04 02:40:54 - mmengine - INFO - Iter(train) [131300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:09:45 time: 0.9611 data_time: 0.0190 memory: 20982 grad_norm: 21.6554 loss: 8.6825 loss_cls: 0.2510 loss_bbox: 0.1317 loss_iou: 0.2296 d0.loss_cls: 0.2778 d0.loss_bbox: 0.1447 d0.loss_iou: 0.2460 d1.loss_cls: 0.2637 d1.loss_bbox: 0.1377 d1.loss_iou: 0.2360 d2.loss_cls: 0.2587 d2.loss_bbox: 0.1321 d2.loss_iou: 0.2316 d3.loss_cls: 0.2547 d3.loss_bbox: 0.1315 d3.loss_iou: 0.2307 d4.loss_cls: 0.2516 d4.loss_bbox: 0.1313 d4.loss_iou: 0.2296 enc_loss_cls: 0.2920 enc_loss_bbox: 0.1518 enc_loss_iou: 0.2576 dn_loss_cls: 0.0918 dn_loss_bbox: 0.1754 dn_loss_iou: 0.2204 d0.dn_loss_cls: 0.1726 d0.dn_loss_bbox: 0.3339 d0.dn_loss_iou: 0.3619 d1.dn_loss_cls: 0.1206 d1.dn_loss_bbox: 0.2142 d1.dn_loss_iou: 0.2542 d2.dn_loss_cls: 0.1067 d2.dn_loss_bbox: 0.1868 d2.dn_loss_iou: 0.2303 d3.dn_loss_cls: 0.0975 d3.dn_loss_bbox: 0.1762 d3.dn_loss_iou: 0.2216 d4.dn_loss_cls: 0.0929 d4.dn_loss_bbox: 0.1753 d4.dn_loss_iou: 0.2204 d1.loss_lmm_region: 0.1204 loss_lmm_image: 0.6384 2024/11/04 02:42:32 - mmengine - INFO - Iter(train) [131400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:08:05 time: 0.9808 data_time: 0.0191 memory: 21979 grad_norm: 21.7492 loss: 9.3888 loss_cls: 0.2900 loss_bbox: 0.1458 loss_iou: 0.2747 d0.loss_cls: 0.3245 d0.loss_bbox: 0.1583 d0.loss_iou: 0.2937 d1.loss_cls: 0.3061 d1.loss_bbox: 0.1507 d1.loss_iou: 0.2822 d2.loss_cls: 0.3017 d2.loss_bbox: 0.1434 d2.loss_iou: 0.2771 d3.loss_cls: 0.2958 d3.loss_bbox: 0.1461 d3.loss_iou: 0.2763 d4.loss_cls: 0.2900 d4.loss_bbox: 0.1464 d4.loss_iou: 0.2765 enc_loss_cls: 0.3538 enc_loss_bbox: 0.1629 enc_loss_iou: 0.3007 dn_loss_cls: 0.0784 dn_loss_bbox: 0.1622 dn_loss_iou: 0.2281 d0.dn_loss_cls: 0.1736 d0.dn_loss_bbox: 0.3189 d0.dn_loss_iou: 0.3823 d1.dn_loss_cls: 0.1151 d1.dn_loss_bbox: 0.1998 d1.dn_loss_iou: 0.2632 d2.dn_loss_cls: 0.0972 d2.dn_loss_bbox: 0.1716 d2.dn_loss_iou: 0.2373 d3.dn_loss_cls: 0.0867 d3.dn_loss_bbox: 0.1636 d3.dn_loss_iou: 0.2297 d4.dn_loss_cls: 0.0790 d4.dn_loss_bbox: 0.1622 d4.dn_loss_iou: 0.2281 d1.loss_lmm_region: 0.1096 loss_lmm_image: 0.7057 2024/11/04 02:44:10 - mmengine - INFO - Iter(train) [131500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:06:25 time: 0.9758 data_time: 0.0190 memory: 20666 grad_norm: 25.8293 loss: 11.1581 loss_cls: 0.3665 loss_bbox: 0.1809 loss_iou: 0.3420 d0.loss_cls: 0.4034 d0.loss_bbox: 0.2058 d0.loss_iou: 0.3743 d1.loss_cls: 0.3864 d1.loss_bbox: 0.1917 d1.loss_iou: 0.3555 d2.loss_cls: 0.3827 d2.loss_bbox: 0.1844 d2.loss_iou: 0.3435 d3.loss_cls: 0.3745 d3.loss_bbox: 0.1823 d3.loss_iou: 0.3417 d4.loss_cls: 0.3678 d4.loss_bbox: 0.1819 d4.loss_iou: 0.3436 enc_loss_cls: 0.4208 enc_loss_bbox: 0.2121 enc_loss_iou: 0.3918 dn_loss_cls: 0.0929 dn_loss_bbox: 0.1887 dn_loss_iou: 0.2552 d0.dn_loss_cls: 0.1859 d0.dn_loss_bbox: 0.3463 d0.dn_loss_iou: 0.4158 d1.dn_loss_cls: 0.1263 d1.dn_loss_bbox: 0.2212 d1.dn_loss_iou: 0.2887 d2.dn_loss_cls: 0.1068 d2.dn_loss_bbox: 0.1983 d2.dn_loss_iou: 0.2641 d3.dn_loss_cls: 0.0978 d3.dn_loss_bbox: 0.1907 d3.dn_loss_iou: 0.2566 d4.dn_loss_cls: 0.0942 d4.dn_loss_bbox: 0.1888 d4.dn_loss_iou: 0.2553 d1.loss_lmm_region: 0.1316 loss_lmm_image: 0.7195 2024/11/04 02:45:47 - mmengine - INFO - Iter(train) [131600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:04:46 time: 0.9696 data_time: 0.0190 memory: 19930 grad_norm: 20.8251 loss: 8.6009 loss_cls: 0.2677 loss_bbox: 0.1292 loss_iou: 0.2241 d0.loss_cls: 0.2872 d0.loss_bbox: 0.1452 d0.loss_iou: 0.2414 d1.loss_cls: 0.2778 d1.loss_bbox: 0.1352 d1.loss_iou: 0.2318 d2.loss_cls: 0.2745 d2.loss_bbox: 0.1334 d2.loss_iou: 0.2272 d3.loss_cls: 0.2709 d3.loss_bbox: 0.1290 d3.loss_iou: 0.2239 d4.loss_cls: 0.2670 d4.loss_bbox: 0.1304 d4.loss_iou: 0.2246 enc_loss_cls: 0.3096 enc_loss_bbox: 0.1560 enc_loss_iou: 0.2562 dn_loss_cls: 0.0700 dn_loss_bbox: 0.1662 dn_loss_iou: 0.2100 d0.dn_loss_cls: 0.1570 d0.dn_loss_bbox: 0.3241 d0.dn_loss_iou: 0.3498 d1.dn_loss_cls: 0.1012 d1.dn_loss_bbox: 0.2029 d1.dn_loss_iou: 0.2426 d2.dn_loss_cls: 0.0842 d2.dn_loss_bbox: 0.1765 d2.dn_loss_iou: 0.2192 d3.dn_loss_cls: 0.0739 d3.dn_loss_bbox: 0.1668 d3.dn_loss_iou: 0.2103 d4.dn_loss_cls: 0.0708 d4.dn_loss_bbox: 0.1663 d4.dn_loss_iou: 0.2100 d1.loss_lmm_region: 0.1075 loss_lmm_image: 0.7492 2024/11/04 02:47:25 - mmengine - INFO - Iter(train) [131700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:03:06 time: 0.9785 data_time: 0.0190 memory: 20572 grad_norm: 22.8789 loss: 9.1822 loss_cls: 0.2730 loss_bbox: 0.1441 loss_iou: 0.2599 d0.loss_cls: 0.2999 d0.loss_bbox: 0.1638 d0.loss_iou: 0.2810 d1.loss_cls: 0.2933 d1.loss_bbox: 0.1483 d1.loss_iou: 0.2667 d2.loss_cls: 0.2843 d2.loss_bbox: 0.1489 d2.loss_iou: 0.2627 d3.loss_cls: 0.2800 d3.loss_bbox: 0.1444 d3.loss_iou: 0.2600 d4.loss_cls: 0.2742 d4.loss_bbox: 0.1437 d4.loss_iou: 0.2590 enc_loss_cls: 0.3198 enc_loss_bbox: 0.1751 enc_loss_iou: 0.2971 dn_loss_cls: 0.0803 dn_loss_bbox: 0.1837 dn_loss_iou: 0.2319 d0.dn_loss_cls: 0.1573 d0.dn_loss_bbox: 0.3236 d0.dn_loss_iou: 0.3758 d1.dn_loss_cls: 0.1061 d1.dn_loss_bbox: 0.2102 d1.dn_loss_iou: 0.2606 d2.dn_loss_cls: 0.0924 d2.dn_loss_bbox: 0.1882 d2.dn_loss_iou: 0.2379 d3.dn_loss_cls: 0.0851 d3.dn_loss_bbox: 0.1846 d3.dn_loss_iou: 0.2332 d4.dn_loss_cls: 0.0807 d4.dn_loss_bbox: 0.1837 d4.dn_loss_iou: 0.2318 d1.loss_lmm_region: 0.1153 loss_lmm_image: 0.6408 2024/11/04 02:49:02 - mmengine - INFO - Iter(train) [131800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:01:26 time: 0.9694 data_time: 0.0191 memory: 21513 grad_norm: 19.7655 loss: 10.2657 loss_cls: 0.3134 loss_bbox: 0.1757 loss_iou: 0.2954 d0.loss_cls: 0.3518 d0.loss_bbox: 0.1929 d0.loss_iou: 0.3151 d1.loss_cls: 0.3404 d1.loss_bbox: 0.1745 d1.loss_iou: 0.3008 d2.loss_cls: 0.3257 d2.loss_bbox: 0.1778 d2.loss_iou: 0.2991 d3.loss_cls: 0.3194 d3.loss_bbox: 0.1758 d3.loss_iou: 0.2969 d4.loss_cls: 0.3145 d4.loss_bbox: 0.1764 d4.loss_iou: 0.2962 enc_loss_cls: 0.3725 enc_loss_bbox: 0.2000 enc_loss_iou: 0.3312 dn_loss_cls: 0.0957 dn_loss_bbox: 0.1976 dn_loss_iou: 0.2344 d0.dn_loss_cls: 0.1905 d0.dn_loss_bbox: 0.3473 d0.dn_loss_iou: 0.3762 d1.dn_loss_cls: 0.1273 d1.dn_loss_bbox: 0.2303 d1.dn_loss_iou: 0.2649 d2.dn_loss_cls: 0.1090 d2.dn_loss_bbox: 0.2061 d2.dn_loss_iou: 0.2420 d3.dn_loss_cls: 0.1007 d3.dn_loss_bbox: 0.1986 d3.dn_loss_iou: 0.2357 d4.dn_loss_cls: 0.0963 d4.dn_loss_bbox: 0.1976 d4.dn_loss_iou: 0.2343 d1.loss_lmm_region: 0.1397 loss_lmm_image: 0.6959 2024/11/04 02:50:39 - mmengine - INFO - Iter(train) [131900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:59:47 time: 0.9747 data_time: 0.0190 memory: 22322 grad_norm: 22.6403 loss: 8.8649 loss_cls: 0.3271 loss_bbox: 0.1162 loss_iou: 0.2270 d0.loss_cls: 0.3628 d0.loss_bbox: 0.1277 d0.loss_iou: 0.2428 d1.loss_cls: 0.3425 d1.loss_bbox: 0.1205 d1.loss_iou: 0.2336 d2.loss_cls: 0.3394 d2.loss_bbox: 0.1191 d2.loss_iou: 0.2307 d3.loss_cls: 0.3313 d3.loss_bbox: 0.1159 d3.loss_iou: 0.2280 d4.loss_cls: 0.3267 d4.loss_bbox: 0.1165 d4.loss_iou: 0.2275 enc_loss_cls: 0.3772 enc_loss_bbox: 0.1385 enc_loss_iou: 0.2613 dn_loss_cls: 0.0965 dn_loss_bbox: 0.1504 dn_loss_iou: 0.1947 d0.dn_loss_cls: 0.1644 d0.dn_loss_bbox: 0.2926 d0.dn_loss_iou: 0.3291 d1.dn_loss_cls: 0.1243 d1.dn_loss_bbox: 0.1857 d1.dn_loss_iou: 0.2262 d2.dn_loss_cls: 0.1056 d2.dn_loss_bbox: 0.1600 d2.dn_loss_iou: 0.2030 d3.dn_loss_cls: 0.1000 d3.dn_loss_bbox: 0.1523 d3.dn_loss_iou: 0.1959 d4.dn_loss_cls: 0.0975 d4.dn_loss_bbox: 0.1505 d4.dn_loss_iou: 0.1948 d1.loss_lmm_region: 0.1077 loss_lmm_image: 0.7215 2024/11/04 02:52:17 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 02:52:17 - mmengine - INFO - Iter(train) [132000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:58:07 time: 0.9768 data_time: 0.0191 memory: 21108 grad_norm: 20.6308 loss: 8.4306 loss_cls: 0.2652 loss_bbox: 0.1178 loss_iou: 0.2226 d0.loss_cls: 0.2983 d0.loss_bbox: 0.1329 d0.loss_iou: 0.2354 d1.loss_cls: 0.2829 d1.loss_bbox: 0.1222 d1.loss_iou: 0.2247 d2.loss_cls: 0.2770 d2.loss_bbox: 0.1219 d2.loss_iou: 0.2231 d3.loss_cls: 0.2743 d3.loss_bbox: 0.1194 d3.loss_iou: 0.2224 d4.loss_cls: 0.2680 d4.loss_bbox: 0.1179 d4.loss_iou: 0.2233 enc_loss_cls: 0.3149 enc_loss_bbox: 0.1481 enc_loss_iou: 0.2565 dn_loss_cls: 0.0782 dn_loss_bbox: 0.1526 dn_loss_iou: 0.2046 d0.dn_loss_cls: 0.1625 d0.dn_loss_bbox: 0.2972 d0.dn_loss_iou: 0.3483 d1.dn_loss_cls: 0.1053 d1.dn_loss_bbox: 0.1872 d1.dn_loss_iou: 0.2367 d2.dn_loss_cls: 0.0907 d2.dn_loss_bbox: 0.1625 d2.dn_loss_iou: 0.2134 d3.dn_loss_cls: 0.0848 d3.dn_loss_bbox: 0.1545 d3.dn_loss_iou: 0.2064 d4.dn_loss_cls: 0.0799 d4.dn_loss_bbox: 0.1526 d4.dn_loss_iou: 0.2045 d1.loss_lmm_region: 0.1151 loss_lmm_image: 0.7250 2024/11/04 02:53:55 - mmengine - INFO - Iter(train) [132100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:56:28 time: 0.9815 data_time: 0.0190 memory: 20226 grad_norm: 18.8723 loss: 8.0555 loss_cls: 0.2165 loss_bbox: 0.1378 loss_iou: 0.2203 d0.loss_cls: 0.2498 d0.loss_bbox: 0.1489 d0.loss_iou: 0.2331 d1.loss_cls: 0.2321 d1.loss_bbox: 0.1431 d1.loss_iou: 0.2286 d2.loss_cls: 0.2252 d2.loss_bbox: 0.1389 d2.loss_iou: 0.2215 d3.loss_cls: 0.2194 d3.loss_bbox: 0.1381 d3.loss_iou: 0.2215 d4.loss_cls: 0.2187 d4.loss_bbox: 0.1375 d4.loss_iou: 0.2195 enc_loss_cls: 0.2582 enc_loss_bbox: 0.1614 enc_loss_iou: 0.2520 dn_loss_cls: 0.0596 dn_loss_bbox: 0.1682 dn_loss_iou: 0.2020 d0.dn_loss_cls: 0.1302 d0.dn_loss_bbox: 0.3060 d0.dn_loss_iou: 0.3339 d1.dn_loss_cls: 0.0837 d1.dn_loss_bbox: 0.1957 d1.dn_loss_iou: 0.2318 d2.dn_loss_cls: 0.0702 d2.dn_loss_bbox: 0.1774 d2.dn_loss_iou: 0.2111 d3.dn_loss_cls: 0.0629 d3.dn_loss_bbox: 0.1700 d3.dn_loss_iou: 0.2041 d4.dn_loss_cls: 0.0602 d4.dn_loss_bbox: 0.1681 d4.dn_loss_iou: 0.2020 d1.loss_lmm_region: 0.0841 loss_lmm_image: 0.7120 2024/11/04 02:55:33 - mmengine - INFO - Iter(train) [132200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:54:48 time: 0.9874 data_time: 0.0191 memory: 21349 grad_norm: 19.3450 loss: 8.7315 loss_cls: 0.2841 loss_bbox: 0.1266 loss_iou: 0.2447 d0.loss_cls: 0.3128 d0.loss_bbox: 0.1458 d0.loss_iou: 0.2705 d1.loss_cls: 0.2979 d1.loss_bbox: 0.1367 d1.loss_iou: 0.2559 d2.loss_cls: 0.2907 d2.loss_bbox: 0.1332 d2.loss_iou: 0.2515 d3.loss_cls: 0.2947 d3.loss_bbox: 0.1270 d3.loss_iou: 0.2461 d4.loss_cls: 0.2874 d4.loss_bbox: 0.1268 d4.loss_iou: 0.2445 enc_loss_cls: 0.3319 enc_loss_bbox: 0.1587 enc_loss_iou: 0.2871 dn_loss_cls: 0.0864 dn_loss_bbox: 0.1455 dn_loss_iou: 0.2005 d0.dn_loss_cls: 0.1616 d0.dn_loss_bbox: 0.2920 d0.dn_loss_iou: 0.3464 d1.dn_loss_cls: 0.1120 d1.dn_loss_bbox: 0.1759 d1.dn_loss_iou: 0.2321 d2.dn_loss_cls: 0.0979 d2.dn_loss_bbox: 0.1539 d2.dn_loss_iou: 0.2088 d3.dn_loss_cls: 0.0898 d3.dn_loss_bbox: 0.1471 d3.dn_loss_iou: 0.2023 d4.dn_loss_cls: 0.0872 d4.dn_loss_bbox: 0.1455 d4.dn_loss_iou: 0.2006 d1.loss_lmm_region: 0.1043 loss_lmm_image: 0.6872 2024/11/04 02:57:11 - mmengine - INFO - Iter(train) [132300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:53:09 time: 0.9884 data_time: 0.0190 memory: 20598 grad_norm: 17.7658 loss: 9.2367 loss_cls: 0.2970 loss_bbox: 0.1532 loss_iou: 0.2600 d0.loss_cls: 0.3253 d0.loss_bbox: 0.1711 d0.loss_iou: 0.2784 d1.loss_cls: 0.3142 d1.loss_bbox: 0.1569 d1.loss_iou: 0.2675 d2.loss_cls: 0.3058 d2.loss_bbox: 0.1547 d2.loss_iou: 0.2602 d3.loss_cls: 0.3059 d3.loss_bbox: 0.1524 d3.loss_iou: 0.2588 d4.loss_cls: 0.2968 d4.loss_bbox: 0.1527 d4.loss_iou: 0.2602 enc_loss_cls: 0.3393 enc_loss_bbox: 0.1799 enc_loss_iou: 0.2995 dn_loss_cls: 0.0885 dn_loss_bbox: 0.1627 dn_loss_iou: 0.2100 d0.dn_loss_cls: 0.1643 d0.dn_loss_bbox: 0.3148 d0.dn_loss_iou: 0.3562 d1.dn_loss_cls: 0.1124 d1.dn_loss_bbox: 0.1938 d1.dn_loss_iou: 0.2408 d2.dn_loss_cls: 0.0996 d2.dn_loss_bbox: 0.1717 d2.dn_loss_iou: 0.2180 d3.dn_loss_cls: 0.0921 d3.dn_loss_bbox: 0.1647 d3.dn_loss_iou: 0.2119 d4.dn_loss_cls: 0.0899 d4.dn_loss_bbox: 0.1627 d4.dn_loss_iou: 0.2101 d1.loss_lmm_region: 0.0925 loss_lmm_image: 0.6901 2024/11/04 02:58:48 - mmengine - INFO - Iter(train) [132400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:51:29 time: 0.9601 data_time: 0.0190 memory: 22357 grad_norm: 20.5513 loss: 8.0678 loss_cls: 0.2660 loss_bbox: 0.1124 loss_iou: 0.2095 d0.loss_cls: 0.2934 d0.loss_bbox: 0.1207 d0.loss_iou: 0.2207 d1.loss_cls: 0.2835 d1.loss_bbox: 0.1147 d1.loss_iou: 0.2121 d2.loss_cls: 0.2714 d2.loss_bbox: 0.1166 d2.loss_iou: 0.2110 d3.loss_cls: 0.2678 d3.loss_bbox: 0.1160 d3.loss_iou: 0.2090 d4.loss_cls: 0.2693 d4.loss_bbox: 0.1114 d4.loss_iou: 0.2075 enc_loss_cls: 0.3148 enc_loss_bbox: 0.1373 enc_loss_iou: 0.2379 dn_loss_cls: 0.0761 dn_loss_bbox: 0.1450 dn_loss_iou: 0.1926 d0.dn_loss_cls: 0.1630 d0.dn_loss_bbox: 0.2981 d0.dn_loss_iou: 0.3363 d1.dn_loss_cls: 0.1064 d1.dn_loss_bbox: 0.1764 d1.dn_loss_iou: 0.2233 d2.dn_loss_cls: 0.0875 d2.dn_loss_bbox: 0.1525 d2.dn_loss_iou: 0.2003 d3.dn_loss_cls: 0.0810 d3.dn_loss_bbox: 0.1459 d3.dn_loss_iou: 0.1936 d4.dn_loss_cls: 0.0763 d4.dn_loss_bbox: 0.1453 d4.dn_loss_iou: 0.1926 d1.loss_lmm_region: 0.1242 loss_lmm_image: 0.6483 2024/11/04 03:00:26 - mmengine - INFO - Iter(train) [132500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:49:49 time: 0.9851 data_time: 0.0191 memory: 21543 grad_norm: 18.9877 loss: 9.3511 loss_cls: 0.2874 loss_bbox: 0.1404 loss_iou: 0.2475 d0.loss_cls: 0.3139 d0.loss_bbox: 0.1506 d0.loss_iou: 0.2645 d1.loss_cls: 0.2980 d1.loss_bbox: 0.1465 d1.loss_iou: 0.2551 d2.loss_cls: 0.2929 d2.loss_bbox: 0.1432 d2.loss_iou: 0.2498 d3.loss_cls: 0.2897 d3.loss_bbox: 0.1413 d3.loss_iou: 0.2475 d4.loss_cls: 0.2874 d4.loss_bbox: 0.1403 d4.loss_iou: 0.2477 enc_loss_cls: 0.3344 enc_loss_bbox: 0.1644 enc_loss_iou: 0.2841 dn_loss_cls: 0.1018 dn_loss_bbox: 0.1817 dn_loss_iou: 0.2333 d0.dn_loss_cls: 0.1805 d0.dn_loss_bbox: 0.3341 d0.dn_loss_iou: 0.3834 d1.dn_loss_cls: 0.1312 d1.dn_loss_bbox: 0.2186 d1.dn_loss_iou: 0.2660 d2.dn_loss_cls: 0.1152 d2.dn_loss_bbox: 0.1910 d2.dn_loss_iou: 0.2424 d3.dn_loss_cls: 0.1100 d3.dn_loss_bbox: 0.1830 d3.dn_loss_iou: 0.2347 d4.dn_loss_cls: 0.1056 d4.dn_loss_bbox: 0.1816 d4.dn_loss_iou: 0.2333 d1.loss_lmm_region: 0.1050 loss_lmm_image: 0.6920 2024/11/04 03:02:04 - mmengine - INFO - Iter(train) [132600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:48:10 time: 0.9731 data_time: 0.0192 memory: 20312 grad_norm: 18.8565 loss: 8.2450 loss_cls: 0.2378 loss_bbox: 0.1292 loss_iou: 0.2356 d0.loss_cls: 0.2731 d0.loss_bbox: 0.1407 d0.loss_iou: 0.2495 d1.loss_cls: 0.2531 d1.loss_bbox: 0.1341 d1.loss_iou: 0.2407 d2.loss_cls: 0.2460 d2.loss_bbox: 0.1287 d2.loss_iou: 0.2365 d3.loss_cls: 0.2443 d3.loss_bbox: 0.1282 d3.loss_iou: 0.2348 d4.loss_cls: 0.2399 d4.loss_bbox: 0.1298 d4.loss_iou: 0.2355 enc_loss_cls: 0.2917 enc_loss_bbox: 0.1529 enc_loss_iou: 0.2664 dn_loss_cls: 0.0584 dn_loss_bbox: 0.1521 dn_loss_iou: 0.2109 d0.dn_loss_cls: 0.1395 d0.dn_loss_bbox: 0.2952 d0.dn_loss_iou: 0.3509 d1.dn_loss_cls: 0.0854 d1.dn_loss_bbox: 0.1826 d1.dn_loss_iou: 0.2403 d2.dn_loss_cls: 0.0709 d2.dn_loss_bbox: 0.1598 d2.dn_loss_iou: 0.2183 d3.dn_loss_cls: 0.0629 d3.dn_loss_bbox: 0.1534 d3.dn_loss_iou: 0.2120 d4.dn_loss_cls: 0.0598 d4.dn_loss_bbox: 0.1520 d4.dn_loss_iou: 0.2107 d1.loss_lmm_region: 0.1178 loss_lmm_image: 0.6837 2024/11/04 03:03:41 - mmengine - INFO - Iter(train) [132700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:46:30 time: 0.9655 data_time: 0.0191 memory: 20596 grad_norm: 20.9425 loss: 8.5725 loss_cls: 0.2589 loss_bbox: 0.1293 loss_iou: 0.2344 d0.loss_cls: 0.2915 d0.loss_bbox: 0.1398 d0.loss_iou: 0.2407 d1.loss_cls: 0.2771 d1.loss_bbox: 0.1343 d1.loss_iou: 0.2351 d2.loss_cls: 0.2740 d2.loss_bbox: 0.1290 d2.loss_iou: 0.2325 d3.loss_cls: 0.2648 d3.loss_bbox: 0.1284 d3.loss_iou: 0.2333 d4.loss_cls: 0.2582 d4.loss_bbox: 0.1292 d4.loss_iou: 0.2341 enc_loss_cls: 0.3031 enc_loss_bbox: 0.1514 enc_loss_iou: 0.2588 dn_loss_cls: 0.0752 dn_loss_bbox: 0.1592 dn_loss_iou: 0.2097 d0.dn_loss_cls: 0.1581 d0.dn_loss_bbox: 0.3255 d0.dn_loss_iou: 0.3620 d1.dn_loss_cls: 0.1037 d1.dn_loss_bbox: 0.1978 d1.dn_loss_iou: 0.2442 d2.dn_loss_cls: 0.0864 d2.dn_loss_bbox: 0.1675 d2.dn_loss_iou: 0.2186 d3.dn_loss_cls: 0.0785 d3.dn_loss_bbox: 0.1597 d3.dn_loss_iou: 0.2111 d4.dn_loss_cls: 0.0751 d4.dn_loss_bbox: 0.1593 d4.dn_loss_iou: 0.2099 d1.loss_lmm_region: 0.0997 loss_lmm_image: 0.7331 2024/11/04 03:05:19 - mmengine - INFO - Iter(train) [132800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:44:50 time: 0.9824 data_time: 0.0190 memory: 20811 grad_norm: 22.3431 loss: 9.1563 loss_cls: 0.2566 loss_bbox: 0.1435 loss_iou: 0.2819 d0.loss_cls: 0.2882 d0.loss_bbox: 0.1568 d0.loss_iou: 0.2978 d1.loss_cls: 0.2693 d1.loss_bbox: 0.1484 d1.loss_iou: 0.2870 d2.loss_cls: 0.2626 d2.loss_bbox: 0.1448 d2.loss_iou: 0.2841 d3.loss_cls: 0.2633 d3.loss_bbox: 0.1421 d3.loss_iou: 0.2795 d4.loss_cls: 0.2580 d4.loss_bbox: 0.1436 d4.loss_iou: 0.2826 enc_loss_cls: 0.3073 enc_loss_bbox: 0.1670 enc_loss_iou: 0.3173 dn_loss_cls: 0.0815 dn_loss_bbox: 0.1669 dn_loss_iou: 0.2362 d0.dn_loss_cls: 0.1607 d0.dn_loss_bbox: 0.3183 d0.dn_loss_iou: 0.3822 d1.dn_loss_cls: 0.1103 d1.dn_loss_bbox: 0.1973 d1.dn_loss_iou: 0.2631 d2.dn_loss_cls: 0.0967 d2.dn_loss_bbox: 0.1788 d2.dn_loss_iou: 0.2451 d3.dn_loss_cls: 0.0863 d3.dn_loss_bbox: 0.1687 d3.dn_loss_iou: 0.2374 d4.dn_loss_cls: 0.0820 d4.dn_loss_bbox: 0.1671 d4.dn_loss_iou: 0.2363 d1.loss_lmm_region: 0.0955 loss_lmm_image: 0.6643 2024/11/04 03:06:56 - mmengine - INFO - Iter(train) [132900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:43:11 time: 0.9736 data_time: 0.0190 memory: 21321 grad_norm: 19.8367 loss: 8.4784 loss_cls: 0.2816 loss_bbox: 0.1305 loss_iou: 0.2314 d0.loss_cls: 0.3043 d0.loss_bbox: 0.1414 d0.loss_iou: 0.2475 d1.loss_cls: 0.2978 d1.loss_bbox: 0.1325 d1.loss_iou: 0.2339 d2.loss_cls: 0.2852 d2.loss_bbox: 0.1328 d2.loss_iou: 0.2335 d3.loss_cls: 0.2844 d3.loss_bbox: 0.1305 d3.loss_iou: 0.2317 d4.loss_cls: 0.2848 d4.loss_bbox: 0.1288 d4.loss_iou: 0.2304 enc_loss_cls: 0.3321 enc_loss_bbox: 0.1535 enc_loss_iou: 0.2631 dn_loss_cls: 0.0681 dn_loss_bbox: 0.1484 dn_loss_iou: 0.2004 d0.dn_loss_cls: 0.1508 d0.dn_loss_bbox: 0.2986 d0.dn_loss_iou: 0.3480 d1.dn_loss_cls: 0.0979 d1.dn_loss_bbox: 0.1757 d1.dn_loss_iou: 0.2307 d2.dn_loss_cls: 0.0820 d2.dn_loss_bbox: 0.1558 d2.dn_loss_iou: 0.2082 d3.dn_loss_cls: 0.0712 d3.dn_loss_bbox: 0.1505 d3.dn_loss_iou: 0.2022 d4.dn_loss_cls: 0.0684 d4.dn_loss_bbox: 0.1483 d4.dn_loss_iou: 0.2004 d1.loss_lmm_region: 0.1031 loss_lmm_image: 0.6780 2024/11/04 03:08:34 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 03:08:34 - mmengine - INFO - Iter(train) [133000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:41:31 time: 0.9836 data_time: 0.0189 memory: 21287 grad_norm: 20.8328 loss: 8.7825 loss_cls: 0.2604 loss_bbox: 0.1274 loss_iou: 0.2320 d0.loss_cls: 0.2948 d0.loss_bbox: 0.1388 d0.loss_iou: 0.2467 d1.loss_cls: 0.2857 d1.loss_bbox: 0.1286 d1.loss_iou: 0.2365 d2.loss_cls: 0.2716 d2.loss_bbox: 0.1295 d2.loss_iou: 0.2337 d3.loss_cls: 0.2671 d3.loss_bbox: 0.1271 d3.loss_iou: 0.2318 d4.loss_cls: 0.2614 d4.loss_bbox: 0.1270 d4.loss_iou: 0.2313 enc_loss_cls: 0.3120 enc_loss_bbox: 0.1469 enc_loss_iou: 0.2585 dn_loss_cls: 0.0755 dn_loss_bbox: 0.1719 dn_loss_iou: 0.2348 d0.dn_loss_cls: 0.1725 d0.dn_loss_bbox: 0.3276 d0.dn_loss_iou: 0.3812 d1.dn_loss_cls: 0.1162 d1.dn_loss_bbox: 0.2061 d1.dn_loss_iou: 0.2652 d2.dn_loss_cls: 0.0939 d2.dn_loss_bbox: 0.1799 d2.dn_loss_iou: 0.2418 d3.dn_loss_cls: 0.0812 d3.dn_loss_bbox: 0.1731 d3.dn_loss_iou: 0.2359 d4.dn_loss_cls: 0.0756 d4.dn_loss_bbox: 0.1718 d4.dn_loss_iou: 0.2347 d1.loss_lmm_region: 0.1058 loss_lmm_image: 0.6891 2024/11/04 03:10:11 - mmengine - INFO - Iter(train) [133100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:39:52 time: 0.9699 data_time: 0.0191 memory: 19924 grad_norm: 20.4371 loss: 8.7752 loss_cls: 0.2717 loss_bbox: 0.1336 loss_iou: 0.2315 d0.loss_cls: 0.2983 d0.loss_bbox: 0.1433 d0.loss_iou: 0.2462 d1.loss_cls: 0.2880 d1.loss_bbox: 0.1377 d1.loss_iou: 0.2377 d2.loss_cls: 0.2797 d2.loss_bbox: 0.1396 d2.loss_iou: 0.2365 d3.loss_cls: 0.2794 d3.loss_bbox: 0.1344 d3.loss_iou: 0.2329 d4.loss_cls: 0.2733 d4.loss_bbox: 0.1334 d4.loss_iou: 0.2326 enc_loss_cls: 0.3167 enc_loss_bbox: 0.1501 enc_loss_iou: 0.2600 dn_loss_cls: 0.0699 dn_loss_bbox: 0.1745 dn_loss_iou: 0.2154 d0.dn_loss_cls: 0.1574 d0.dn_loss_bbox: 0.3345 d0.dn_loss_iou: 0.3625 d1.dn_loss_cls: 0.0990 d1.dn_loss_bbox: 0.2112 d1.dn_loss_iou: 0.2472 d2.dn_loss_cls: 0.0831 d2.dn_loss_bbox: 0.1830 d2.dn_loss_iou: 0.2240 d3.dn_loss_cls: 0.0753 d3.dn_loss_bbox: 0.1759 d3.dn_loss_iou: 0.2169 d4.dn_loss_cls: 0.0704 d4.dn_loss_bbox: 0.1744 d4.dn_loss_iou: 0.2152 d1.loss_lmm_region: 0.1147 loss_lmm_image: 0.7141 2024/11/04 03:11:49 - mmengine - INFO - Iter(train) [133200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:38:12 time: 0.9768 data_time: 0.0190 memory: 20930 grad_norm: 23.9762 loss: 9.8192 loss_cls: 0.2879 loss_bbox: 0.1708 loss_iou: 0.2680 d0.loss_cls: 0.3190 d0.loss_bbox: 0.1771 d0.loss_iou: 0.2811 d1.loss_cls: 0.3010 d1.loss_bbox: 0.1756 d1.loss_iou: 0.2721 d2.loss_cls: 0.2996 d2.loss_bbox: 0.1692 d2.loss_iou: 0.2698 d3.loss_cls: 0.2959 d3.loss_bbox: 0.1670 d3.loss_iou: 0.2659 d4.loss_cls: 0.2911 d4.loss_bbox: 0.1683 d4.loss_iou: 0.2661 enc_loss_cls: 0.3376 enc_loss_bbox: 0.1908 enc_loss_iou: 0.2995 dn_loss_cls: 0.0766 dn_loss_bbox: 0.2104 dn_loss_iou: 0.2423 d0.dn_loss_cls: 0.1735 d0.dn_loss_bbox: 0.4075 d0.dn_loss_iou: 0.4079 d1.dn_loss_cls: 0.1120 d1.dn_loss_bbox: 0.2577 d1.dn_loss_iou: 0.2800 d2.dn_loss_cls: 0.0938 d2.dn_loss_bbox: 0.2216 d2.dn_loss_iou: 0.2525 d3.dn_loss_cls: 0.0824 d3.dn_loss_bbox: 0.2124 d3.dn_loss_iou: 0.2439 d4.dn_loss_cls: 0.0779 d4.dn_loss_bbox: 0.2102 d4.dn_loss_iou: 0.2422 d1.loss_lmm_region: 0.1091 loss_lmm_image: 0.6319 2024/11/04 03:13:27 - mmengine - INFO - Iter(train) [133300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:36:32 time: 0.9757 data_time: 0.0191 memory: 20764 grad_norm: 20.3006 loss: 9.7606 loss_cls: 0.3015 loss_bbox: 0.1549 loss_iou: 0.2800 d0.loss_cls: 0.3370 d0.loss_bbox: 0.1665 d0.loss_iou: 0.2928 d1.loss_cls: 0.3161 d1.loss_bbox: 0.1616 d1.loss_iou: 0.2864 d2.loss_cls: 0.3087 d2.loss_bbox: 0.1579 d2.loss_iou: 0.2836 d3.loss_cls: 0.3029 d3.loss_bbox: 0.1584 d3.loss_iou: 0.2800 d4.loss_cls: 0.3023 d4.loss_bbox: 0.1558 d4.loss_iou: 0.2799 enc_loss_cls: 0.3562 enc_loss_bbox: 0.1780 enc_loss_iou: 0.3073 dn_loss_cls: 0.0734 dn_loss_bbox: 0.1940 dn_loss_iou: 0.2402 d0.dn_loss_cls: 0.1624 d0.dn_loss_bbox: 0.3569 d0.dn_loss_iou: 0.3935 d1.dn_loss_cls: 0.1063 d1.dn_loss_bbox: 0.2301 d1.dn_loss_iou: 0.2735 d2.dn_loss_cls: 0.0878 d2.dn_loss_bbox: 0.2036 d2.dn_loss_iou: 0.2496 d3.dn_loss_cls: 0.0791 d3.dn_loss_bbox: 0.1959 d3.dn_loss_iou: 0.2421 d4.dn_loss_cls: 0.0743 d4.dn_loss_bbox: 0.1940 d4.dn_loss_iou: 0.2401 d1.loss_lmm_region: 0.1016 loss_lmm_image: 0.6945 2024/11/04 03:15:05 - mmengine - INFO - Iter(train) [133400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:34:53 time: 0.9715 data_time: 0.0191 memory: 20590 grad_norm: 19.6685 loss: 9.7165 loss_cls: 0.3114 loss_bbox: 0.1541 loss_iou: 0.2573 d0.loss_cls: 0.3365 d0.loss_bbox: 0.1665 d0.loss_iou: 0.2780 d1.loss_cls: 0.3241 d1.loss_bbox: 0.1576 d1.loss_iou: 0.2637 d2.loss_cls: 0.3197 d2.loss_bbox: 0.1539 d2.loss_iou: 0.2574 d3.loss_cls: 0.3178 d3.loss_bbox: 0.1485 d3.loss_iou: 0.2554 d4.loss_cls: 0.3149 d4.loss_bbox: 0.1515 d4.loss_iou: 0.2554 enc_loss_cls: 0.3547 enc_loss_bbox: 0.1797 enc_loss_iou: 0.2931 dn_loss_cls: 0.1075 dn_loss_bbox: 0.1854 dn_loss_iou: 0.2255 d0.dn_loss_cls: 0.2013 d0.dn_loss_bbox: 0.3184 d0.dn_loss_iou: 0.3721 d1.dn_loss_cls: 0.1441 d1.dn_loss_bbox: 0.2124 d1.dn_loss_iou: 0.2573 d2.dn_loss_cls: 0.1272 d2.dn_loss_bbox: 0.1890 d2.dn_loss_iou: 0.2326 d3.dn_loss_cls: 0.1152 d3.dn_loss_bbox: 0.1857 d3.dn_loss_iou: 0.2266 d4.dn_loss_cls: 0.1087 d4.dn_loss_bbox: 0.1854 d4.dn_loss_iou: 0.2254 d1.loss_lmm_region: 0.1192 loss_lmm_image: 0.7264 2024/11/04 03:16:43 - mmengine - INFO - Iter(train) [133500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:33:13 time: 0.9808 data_time: 0.0191 memory: 20360 grad_norm: 21.7838 loss: 9.4744 loss_cls: 0.3133 loss_bbox: 0.1698 loss_iou: 0.2728 d0.loss_cls: 0.3438 d0.loss_bbox: 0.1832 d0.loss_iou: 0.2904 d1.loss_cls: 0.3279 d1.loss_bbox: 0.1709 d1.loss_iou: 0.2745 d2.loss_cls: 0.3229 d2.loss_bbox: 0.1685 d2.loss_iou: 0.2692 d3.loss_cls: 0.3156 d3.loss_bbox: 0.1719 d3.loss_iou: 0.2718 d4.loss_cls: 0.3154 d4.loss_bbox: 0.1715 d4.loss_iou: 0.2724 enc_loss_cls: 0.3607 enc_loss_bbox: 0.1979 enc_loss_iou: 0.3068 dn_loss_cls: 0.0666 dn_loss_bbox: 0.1740 dn_loss_iou: 0.2092 d0.dn_loss_cls: 0.1466 d0.dn_loss_bbox: 0.3090 d0.dn_loss_iou: 0.3400 d1.dn_loss_cls: 0.0927 d1.dn_loss_bbox: 0.2007 d1.dn_loss_iou: 0.2370 d2.dn_loss_cls: 0.0783 d2.dn_loss_bbox: 0.1810 d2.dn_loss_iou: 0.2166 d3.dn_loss_cls: 0.0701 d3.dn_loss_bbox: 0.1744 d3.dn_loss_iou: 0.2106 d4.dn_loss_cls: 0.0668 d4.dn_loss_bbox: 0.1739 d4.dn_loss_iou: 0.2093 d1.loss_lmm_region: 0.1000 loss_lmm_image: 0.7263 2024/11/04 03:18:20 - mmengine - INFO - Iter(train) [133600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:31:34 time: 0.9759 data_time: 0.0192 memory: 21257 grad_norm: 18.6048 loss: 9.4447 loss_cls: 0.3062 loss_bbox: 0.1484 loss_iou: 0.2955 d0.loss_cls: 0.3498 d0.loss_bbox: 0.1537 d0.loss_iou: 0.3038 d1.loss_cls: 0.3330 d1.loss_bbox: 0.1485 d1.loss_iou: 0.2982 d2.loss_cls: 0.3213 d2.loss_bbox: 0.1507 d2.loss_iou: 0.2948 d3.loss_cls: 0.3163 d3.loss_bbox: 0.1421 d3.loss_iou: 0.2921 d4.loss_cls: 0.3075 d4.loss_bbox: 0.1474 d4.loss_iou: 0.2948 enc_loss_cls: 0.3700 enc_loss_bbox: 0.1666 enc_loss_iou: 0.3291 dn_loss_cls: 0.0782 dn_loss_bbox: 0.1528 dn_loss_iou: 0.2204 d0.dn_loss_cls: 0.1657 d0.dn_loss_bbox: 0.2862 d0.dn_loss_iou: 0.3655 d1.dn_loss_cls: 0.1132 d1.dn_loss_bbox: 0.1775 d1.dn_loss_iou: 0.2512 d2.dn_loss_cls: 0.0984 d2.dn_loss_bbox: 0.1561 d2.dn_loss_iou: 0.2270 d3.dn_loss_cls: 0.0848 d3.dn_loss_bbox: 0.1534 d3.dn_loss_iou: 0.2221 d4.dn_loss_cls: 0.0789 d4.dn_loss_bbox: 0.1527 d4.dn_loss_iou: 0.2204 d1.loss_lmm_region: 0.0955 loss_lmm_image: 0.6748 2024/11/04 03:19:58 - mmengine - INFO - Iter(train) [133700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:29:54 time: 0.9822 data_time: 0.0191 memory: 20281 grad_norm: 20.0456 loss: 9.4792 loss_cls: 0.2927 loss_bbox: 0.1428 loss_iou: 0.2762 d0.loss_cls: 0.3277 d0.loss_bbox: 0.1498 d0.loss_iou: 0.2897 d1.loss_cls: 0.3064 d1.loss_bbox: 0.1466 d1.loss_iou: 0.2857 d2.loss_cls: 0.2987 d2.loss_bbox: 0.1466 d2.loss_iou: 0.2809 d3.loss_cls: 0.2962 d3.loss_bbox: 0.1440 d3.loss_iou: 0.2777 d4.loss_cls: 0.2957 d4.loss_bbox: 0.1422 d4.loss_iou: 0.2759 enc_loss_cls: 0.3377 enc_loss_bbox: 0.1631 enc_loss_iou: 0.3067 dn_loss_cls: 0.0930 dn_loss_bbox: 0.1695 dn_loss_iou: 0.2347 d0.dn_loss_cls: 0.1853 d0.dn_loss_bbox: 0.3157 d0.dn_loss_iou: 0.3793 d1.dn_loss_cls: 0.1257 d1.dn_loss_bbox: 0.1970 d1.dn_loss_iou: 0.2636 d2.dn_loss_cls: 0.1047 d2.dn_loss_bbox: 0.1754 d2.dn_loss_iou: 0.2415 d3.dn_loss_cls: 0.0962 d3.dn_loss_bbox: 0.1703 d3.dn_loss_iou: 0.2356 d4.dn_loss_cls: 0.0941 d4.dn_loss_bbox: 0.1695 d4.dn_loss_iou: 0.2346 d1.loss_lmm_region: 0.1133 loss_lmm_image: 0.6971 2024/11/04 03:21:36 - mmengine - INFO - Iter(train) [133800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:28:15 time: 0.9803 data_time: 0.0191 memory: 21270 grad_norm: 19.0230 loss: 7.3365 loss_cls: 0.2166 loss_bbox: 0.1054 loss_iou: 0.2024 d0.loss_cls: 0.2464 d0.loss_bbox: 0.1147 d0.loss_iou: 0.2128 d1.loss_cls: 0.2316 d1.loss_bbox: 0.1048 d1.loss_iou: 0.2046 d2.loss_cls: 0.2245 d2.loss_bbox: 0.1053 d2.loss_iou: 0.2024 d3.loss_cls: 0.2203 d3.loss_bbox: 0.1075 d3.loss_iou: 0.2037 d4.loss_cls: 0.2155 d4.loss_bbox: 0.1065 d4.loss_iou: 0.2028 enc_loss_cls: 0.2667 enc_loss_bbox: 0.1305 enc_loss_iou: 0.2332 dn_loss_cls: 0.0518 dn_loss_bbox: 0.1319 dn_loss_iou: 0.1805 d0.dn_loss_cls: 0.1230 d0.dn_loss_bbox: 0.2821 d0.dn_loss_iou: 0.3243 d1.dn_loss_cls: 0.0731 d1.dn_loss_bbox: 0.1599 d1.dn_loss_iou: 0.2085 d2.dn_loss_cls: 0.0599 d2.dn_loss_bbox: 0.1384 d2.dn_loss_iou: 0.1871 d3.dn_loss_cls: 0.0539 d3.dn_loss_bbox: 0.1334 d3.dn_loss_iou: 0.1819 d4.dn_loss_cls: 0.0516 d4.dn_loss_bbox: 0.1320 d4.dn_loss_iou: 0.1806 d1.loss_lmm_region: 0.0824 loss_lmm_image: 0.7421 2024/11/04 03:23:13 - mmengine - INFO - Iter(train) [133900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:26:35 time: 0.9786 data_time: 0.0193 memory: 21227 grad_norm: 19.4910 loss: 9.1779 loss_cls: 0.2762 loss_bbox: 0.1580 loss_iou: 0.2806 d0.loss_cls: 0.3170 d0.loss_bbox: 0.1662 d0.loss_iou: 0.2917 d1.loss_cls: 0.2955 d1.loss_bbox: 0.1580 d1.loss_iou: 0.2826 d2.loss_cls: 0.2896 d2.loss_bbox: 0.1529 d2.loss_iou: 0.2795 d3.loss_cls: 0.2839 d3.loss_bbox: 0.1533 d3.loss_iou: 0.2789 d4.loss_cls: 0.2774 d4.loss_bbox: 0.1566 d4.loss_iou: 0.2789 enc_loss_cls: 0.3385 enc_loss_bbox: 0.1746 enc_loss_iou: 0.3066 dn_loss_cls: 0.0842 dn_loss_bbox: 0.1551 dn_loss_iou: 0.2106 d0.dn_loss_cls: 0.1586 d0.dn_loss_bbox: 0.3029 d0.dn_loss_iou: 0.3494 d1.dn_loss_cls: 0.1156 d1.dn_loss_bbox: 0.1869 d1.dn_loss_iou: 0.2389 d2.dn_loss_cls: 0.1049 d2.dn_loss_bbox: 0.1624 d2.dn_loss_iou: 0.2178 d3.dn_loss_cls: 0.0899 d3.dn_loss_bbox: 0.1554 d3.dn_loss_iou: 0.2112 d4.dn_loss_cls: 0.0845 d4.dn_loss_bbox: 0.1551 d4.dn_loss_iou: 0.2107 d1.loss_lmm_region: 0.1034 loss_lmm_image: 0.6840 2024/11/04 03:24:50 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 03:24:50 - mmengine - INFO - Iter(train) [134000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:24:56 time: 0.9741 data_time: 0.0191 memory: 20422 grad_norm: 22.7331 loss: 9.1658 loss_cls: 0.3121 loss_bbox: 0.1463 loss_iou: 0.2709 d0.loss_cls: 0.3617 d0.loss_bbox: 0.1518 d0.loss_iou: 0.2804 d1.loss_cls: 0.3332 d1.loss_bbox: 0.1515 d1.loss_iou: 0.2762 d2.loss_cls: 0.3299 d2.loss_bbox: 0.1448 d2.loss_iou: 0.2700 d3.loss_cls: 0.3239 d3.loss_bbox: 0.1439 d3.loss_iou: 0.2678 d4.loss_cls: 0.3167 d4.loss_bbox: 0.1440 d4.loss_iou: 0.2704 enc_loss_cls: 0.3778 enc_loss_bbox: 0.1692 enc_loss_iou: 0.2990 dn_loss_cls: 0.0815 dn_loss_bbox: 0.1466 dn_loss_iou: 0.1969 d0.dn_loss_cls: 0.1580 d0.dn_loss_bbox: 0.2861 d0.dn_loss_iou: 0.3240 d1.dn_loss_cls: 0.1043 d1.dn_loss_bbox: 0.1799 d1.dn_loss_iou: 0.2229 d2.dn_loss_cls: 0.0896 d2.dn_loss_bbox: 0.1578 d2.dn_loss_iou: 0.2040 d3.dn_loss_cls: 0.0852 d3.dn_loss_bbox: 0.1482 d3.dn_loss_iou: 0.1979 d4.dn_loss_cls: 0.0818 d4.dn_loss_bbox: 0.1465 d4.dn_loss_iou: 0.1969 d1.loss_lmm_region: 0.1024 loss_lmm_image: 0.7137 2024/11/04 03:26:28 - mmengine - INFO - Iter(train) [134100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:23:16 time: 0.9713 data_time: 0.0193 memory: 20875 grad_norm: 19.8101 loss: 8.2018 loss_cls: 0.2703 loss_bbox: 0.1171 loss_iou: 0.2351 d0.loss_cls: 0.3035 d0.loss_bbox: 0.1280 d0.loss_iou: 0.2529 d1.loss_cls: 0.2856 d1.loss_bbox: 0.1231 d1.loss_iou: 0.2432 d2.loss_cls: 0.2786 d2.loss_bbox: 0.1177 d2.loss_iou: 0.2387 d3.loss_cls: 0.2768 d3.loss_bbox: 0.1168 d3.loss_iou: 0.2354 d4.loss_cls: 0.2737 d4.loss_bbox: 0.1170 d4.loss_iou: 0.2351 enc_loss_cls: 0.3096 enc_loss_bbox: 0.1418 enc_loss_iou: 0.2740 dn_loss_cls: 0.0730 dn_loss_bbox: 0.1285 dn_loss_iou: 0.1925 d0.dn_loss_cls: 0.1475 d0.dn_loss_bbox: 0.2566 d0.dn_loss_iou: 0.3228 d1.dn_loss_cls: 0.1007 d1.dn_loss_bbox: 0.1606 d1.dn_loss_iou: 0.2226 d2.dn_loss_cls: 0.0891 d2.dn_loss_bbox: 0.1352 d2.dn_loss_iou: 0.1997 d3.dn_loss_cls: 0.0783 d3.dn_loss_bbox: 0.1295 d3.dn_loss_iou: 0.1938 d4.dn_loss_cls: 0.0748 d4.dn_loss_bbox: 0.1287 d4.dn_loss_iou: 0.1924 d1.loss_lmm_region: 0.0977 loss_lmm_image: 0.7041 2024/11/04 03:28:05 - mmengine - INFO - Iter(train) [134200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:21:36 time: 0.9682 data_time: 0.0191 memory: 20768 grad_norm: 25.6387 loss: 8.4474 loss_cls: 0.2574 loss_bbox: 0.1285 loss_iou: 0.2452 d0.loss_cls: 0.2847 d0.loss_bbox: 0.1464 d0.loss_iou: 0.2657 d1.loss_cls: 0.2732 d1.loss_bbox: 0.1352 d1.loss_iou: 0.2538 d2.loss_cls: 0.2663 d2.loss_bbox: 0.1291 d2.loss_iou: 0.2476 d3.loss_cls: 0.2619 d3.loss_bbox: 0.1295 d3.loss_iou: 0.2466 d4.loss_cls: 0.2571 d4.loss_bbox: 0.1287 d4.loss_iou: 0.2453 enc_loss_cls: 0.3098 enc_loss_bbox: 0.1520 enc_loss_iou: 0.2823 dn_loss_cls: 0.0663 dn_loss_bbox: 0.1483 dn_loss_iou: 0.1981 d0.dn_loss_cls: 0.1591 d0.dn_loss_bbox: 0.2973 d0.dn_loss_iou: 0.3333 d1.dn_loss_cls: 0.1033 d1.dn_loss_bbox: 0.1804 d1.dn_loss_iou: 0.2281 d2.dn_loss_cls: 0.0810 d2.dn_loss_bbox: 0.1569 d2.dn_loss_iou: 0.2062 d3.dn_loss_cls: 0.0727 d3.dn_loss_bbox: 0.1502 d3.dn_loss_iou: 0.1996 d4.dn_loss_cls: 0.0679 d4.dn_loss_bbox: 0.1482 d4.dn_loss_iou: 0.1980 d1.loss_lmm_region: 0.1115 loss_lmm_image: 0.6948 2024/11/04 03:29:42 - mmengine - INFO - Iter(train) [134300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:19:57 time: 0.9679 data_time: 0.0190 memory: 20508 grad_norm: 19.6832 loss: 9.1576 loss_cls: 0.2599 loss_bbox: 0.1532 loss_iou: 0.2546 d0.loss_cls: 0.2891 d0.loss_bbox: 0.1650 d0.loss_iou: 0.2731 d1.loss_cls: 0.2745 d1.loss_bbox: 0.1560 d1.loss_iou: 0.2590 d2.loss_cls: 0.2683 d2.loss_bbox: 0.1521 d2.loss_iou: 0.2580 d3.loss_cls: 0.2633 d3.loss_bbox: 0.1529 d3.loss_iou: 0.2553 d4.loss_cls: 0.2636 d4.loss_bbox: 0.1507 d4.loss_iou: 0.2550 enc_loss_cls: 0.3060 enc_loss_bbox: 0.1706 enc_loss_iou: 0.2847 dn_loss_cls: 0.0788 dn_loss_bbox: 0.1801 dn_loss_iou: 0.2306 d0.dn_loss_cls: 0.1619 d0.dn_loss_bbox: 0.3351 d0.dn_loss_iou: 0.3798 d1.dn_loss_cls: 0.1064 d1.dn_loss_bbox: 0.2196 d1.dn_loss_iou: 0.2654 d2.dn_loss_cls: 0.0916 d2.dn_loss_bbox: 0.1903 d2.dn_loss_iou: 0.2394 d3.dn_loss_cls: 0.0837 d3.dn_loss_bbox: 0.1825 d3.dn_loss_iou: 0.2325 d4.dn_loss_cls: 0.0798 d4.dn_loss_bbox: 0.1801 d4.dn_loss_iou: 0.2304 d1.loss_lmm_region: 0.1071 loss_lmm_image: 0.7178 2024/11/04 03:31:20 - mmengine - INFO - Iter(train) [134400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:18:17 time: 0.9754 data_time: 0.0191 memory: 20650 grad_norm: 20.8340 loss: 9.2290 loss_cls: 0.2869 loss_bbox: 0.1452 loss_iou: 0.2707 d0.loss_cls: 0.3147 d0.loss_bbox: 0.1582 d0.loss_iou: 0.2875 d1.loss_cls: 0.2971 d1.loss_bbox: 0.1485 d1.loss_iou: 0.2770 d2.loss_cls: 0.2909 d2.loss_bbox: 0.1456 d2.loss_iou: 0.2719 d3.loss_cls: 0.2874 d3.loss_bbox: 0.1478 d3.loss_iou: 0.2725 d4.loss_cls: 0.2912 d4.loss_bbox: 0.1413 d4.loss_iou: 0.2693 enc_loss_cls: 0.3314 enc_loss_bbox: 0.1662 enc_loss_iou: 0.3043 dn_loss_cls: 0.0772 dn_loss_bbox: 0.1735 dn_loss_iou: 0.2214 d0.dn_loss_cls: 0.1723 d0.dn_loss_bbox: 0.3320 d0.dn_loss_iou: 0.3714 d1.dn_loss_cls: 0.1088 d1.dn_loss_bbox: 0.2034 d1.dn_loss_iou: 0.2507 d2.dn_loss_cls: 0.0907 d2.dn_loss_bbox: 0.1792 d2.dn_loss_iou: 0.2285 d3.dn_loss_cls: 0.0804 d3.dn_loss_bbox: 0.1748 d3.dn_loss_iou: 0.2224 d4.dn_loss_cls: 0.0771 d4.dn_loss_bbox: 0.1736 d4.dn_loss_iou: 0.2214 d1.loss_lmm_region: 0.1105 loss_lmm_image: 0.6543 2024/11/04 03:32:59 - mmengine - INFO - Iter(train) [134500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:16:38 time: 0.9855 data_time: 0.0191 memory: 21911 grad_norm: 21.7190 loss: 8.7865 loss_cls: 0.2700 loss_bbox: 0.1334 loss_iou: 0.2563 d0.loss_cls: 0.3003 d0.loss_bbox: 0.1491 d0.loss_iou: 0.2804 d1.loss_cls: 0.2840 d1.loss_bbox: 0.1404 d1.loss_iou: 0.2653 d2.loss_cls: 0.2811 d2.loss_bbox: 0.1365 d2.loss_iou: 0.2589 d3.loss_cls: 0.2762 d3.loss_bbox: 0.1335 d3.loss_iou: 0.2553 d4.loss_cls: 0.2691 d4.loss_bbox: 0.1341 d4.loss_iou: 0.2573 enc_loss_cls: 0.3247 enc_loss_bbox: 0.1592 enc_loss_iou: 0.2969 dn_loss_cls: 0.0698 dn_loss_bbox: 0.1539 dn_loss_iou: 0.2106 d0.dn_loss_cls: 0.1566 d0.dn_loss_bbox: 0.2958 d0.dn_loss_iou: 0.3495 d1.dn_loss_cls: 0.1021 d1.dn_loss_bbox: 0.1871 d1.dn_loss_iou: 0.2405 d2.dn_loss_cls: 0.0858 d2.dn_loss_bbox: 0.1602 d2.dn_loss_iou: 0.2160 d3.dn_loss_cls: 0.0751 d3.dn_loss_bbox: 0.1555 d3.dn_loss_iou: 0.2116 d4.dn_loss_cls: 0.0703 d4.dn_loss_bbox: 0.1541 d4.dn_loss_iou: 0.2106 d1.loss_lmm_region: 0.1073 loss_lmm_image: 0.7123 2024/11/04 03:34:36 - mmengine - INFO - Iter(train) [134600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:14:58 time: 0.9691 data_time: 0.0192 memory: 21206 grad_norm: 18.0723 loss: 8.8050 loss_cls: 0.2609 loss_bbox: 0.1473 loss_iou: 0.2378 d0.loss_cls: 0.2969 d0.loss_bbox: 0.1571 d0.loss_iou: 0.2538 d1.loss_cls: 0.2784 d1.loss_bbox: 0.1500 d1.loss_iou: 0.2448 d2.loss_cls: 0.2728 d2.loss_bbox: 0.1471 d2.loss_iou: 0.2399 d3.loss_cls: 0.2630 d3.loss_bbox: 0.1499 d3.loss_iou: 0.2408 d4.loss_cls: 0.2630 d4.loss_bbox: 0.1473 d4.loss_iou: 0.2379 enc_loss_cls: 0.3199 enc_loss_bbox: 0.1649 enc_loss_iou: 0.2652 dn_loss_cls: 0.0764 dn_loss_bbox: 0.1729 dn_loss_iou: 0.2130 d0.dn_loss_cls: 0.1636 d0.dn_loss_bbox: 0.3075 d0.dn_loss_iou: 0.3468 d1.dn_loss_cls: 0.1094 d1.dn_loss_bbox: 0.2047 d1.dn_loss_iou: 0.2432 d2.dn_loss_cls: 0.0937 d2.dn_loss_bbox: 0.1787 d2.dn_loss_iou: 0.2200 d3.dn_loss_cls: 0.0830 d3.dn_loss_bbox: 0.1746 d3.dn_loss_iou: 0.2146 d4.dn_loss_cls: 0.0771 d4.dn_loss_bbox: 0.1729 d4.dn_loss_iou: 0.2130 d1.loss_lmm_region: 0.1097 loss_lmm_image: 0.6912 2024/11/04 03:36:13 - mmengine - INFO - Iter(train) [134700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:13:19 time: 0.9718 data_time: 0.0190 memory: 22014 grad_norm: nan loss: 8.7467 loss_cls: 0.2612 loss_bbox: 0.1250 loss_iou: 0.2405 d0.loss_cls: 0.2948 d0.loss_bbox: 0.1372 d0.loss_iou: 0.2533 d1.loss_cls: 0.2806 d1.loss_bbox: 0.1327 d1.loss_iou: 0.2465 d2.loss_cls: 0.2765 d2.loss_bbox: 0.1233 d2.loss_iou: 0.2399 d3.loss_cls: 0.2679 d3.loss_bbox: 0.1241 d3.loss_iou: 0.2409 d4.loss_cls: 0.2622 d4.loss_bbox: 0.1240 d4.loss_iou: 0.2402 enc_loss_cls: 0.3163 enc_loss_bbox: 0.1462 enc_loss_iou: 0.2680 dn_loss_cls: 0.0852 dn_loss_bbox: 0.1556 dn_loss_iou: 0.2261 d0.dn_loss_cls: 0.1841 d0.dn_loss_bbox: 0.3064 d0.dn_loss_iou: 0.3730 d1.dn_loss_cls: 0.1190 d1.dn_loss_bbox: 0.1910 d1.dn_loss_iou: 0.2589 d2.dn_loss_cls: 0.1012 d2.dn_loss_bbox: 0.1671 d2.dn_loss_iou: 0.2343 d3.dn_loss_cls: 0.0901 d3.dn_loss_bbox: 0.1578 d3.dn_loss_iou: 0.2278 d4.dn_loss_cls: 0.0865 d4.dn_loss_bbox: 0.1556 d4.dn_loss_iou: 0.2262 d1.loss_lmm_region: 0.1287 loss_lmm_image: 0.6710 2024/11/04 03:37:51 - mmengine - INFO - Iter(train) [134800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:11:39 time: 0.9760 data_time: 0.0191 memory: 20625 grad_norm: 19.9678 loss: 8.1132 loss_cls: 0.2550 loss_bbox: 0.1244 loss_iou: 0.2180 d0.loss_cls: 0.2843 d0.loss_bbox: 0.1354 d0.loss_iou: 0.2344 d1.loss_cls: 0.2700 d1.loss_bbox: 0.1280 d1.loss_iou: 0.2216 d2.loss_cls: 0.2627 d2.loss_bbox: 0.1248 d2.loss_iou: 0.2212 d3.loss_cls: 0.2583 d3.loss_bbox: 0.1255 d3.loss_iou: 0.2196 d4.loss_cls: 0.2555 d4.loss_bbox: 0.1246 d4.loss_iou: 0.2177 enc_loss_cls: 0.3009 enc_loss_bbox: 0.1509 enc_loss_iou: 0.2571 dn_loss_cls: 0.0773 dn_loss_bbox: 0.1469 dn_loss_iou: 0.1840 d0.dn_loss_cls: 0.1540 d0.dn_loss_bbox: 0.2957 d0.dn_loss_iou: 0.3270 d1.dn_loss_cls: 0.1030 d1.dn_loss_bbox: 0.1749 d1.dn_loss_iou: 0.2136 d2.dn_loss_cls: 0.0887 d2.dn_loss_bbox: 0.1534 d2.dn_loss_iou: 0.1917 d3.dn_loss_cls: 0.0827 d3.dn_loss_bbox: 0.1479 d3.dn_loss_iou: 0.1856 d4.dn_loss_cls: 0.0772 d4.dn_loss_bbox: 0.1469 d4.dn_loss_iou: 0.1840 d1.loss_lmm_region: 0.0869 loss_lmm_image: 0.7024 2024/11/04 03:39:28 - mmengine - INFO - Iter(train) [134900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:10:00 time: 0.9768 data_time: 0.0190 memory: 20902 grad_norm: 22.8166 loss: 8.1966 loss_cls: 0.2484 loss_bbox: 0.1266 loss_iou: 0.2295 d0.loss_cls: 0.2771 d0.loss_bbox: 0.1417 d0.loss_iou: 0.2526 d1.loss_cls: 0.2628 d1.loss_bbox: 0.1312 d1.loss_iou: 0.2355 d2.loss_cls: 0.2611 d2.loss_bbox: 0.1251 d2.loss_iou: 0.2289 d3.loss_cls: 0.2524 d3.loss_bbox: 0.1266 d3.loss_iou: 0.2298 d4.loss_cls: 0.2500 d4.loss_bbox: 0.1266 d4.loss_iou: 0.2292 enc_loss_cls: 0.2961 enc_loss_bbox: 0.1560 enc_loss_iou: 0.2698 dn_loss_cls: 0.0619 dn_loss_bbox: 0.1382 dn_loss_iou: 0.2014 d0.dn_loss_cls: 0.1428 d0.dn_loss_bbox: 0.2816 d0.dn_loss_iou: 0.3537 d1.dn_loss_cls: 0.0874 d1.dn_loss_bbox: 0.1718 d1.dn_loss_iou: 0.2370 d2.dn_loss_cls: 0.0737 d2.dn_loss_bbox: 0.1496 d2.dn_loss_iou: 0.2115 d3.dn_loss_cls: 0.0652 d3.dn_loss_bbox: 0.1403 d3.dn_loss_iou: 0.2036 d4.dn_loss_cls: 0.0633 d4.dn_loss_bbox: 0.1383 d4.dn_loss_iou: 0.2015 d1.loss_lmm_region: 0.1014 loss_lmm_image: 0.7154 2024/11/04 03:41:06 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 03:41:06 - mmengine - INFO - Iter(train) [135000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:08:20 time: 0.9756 data_time: 0.0191 memory: 21669 grad_norm: 20.9376 loss: 8.6104 loss_cls: 0.2680 loss_bbox: 0.1240 loss_iou: 0.2403 d0.loss_cls: 0.3004 d0.loss_bbox: 0.1382 d0.loss_iou: 0.2568 d1.loss_cls: 0.2869 d1.loss_bbox: 0.1247 d1.loss_iou: 0.2412 d2.loss_cls: 0.2787 d2.loss_bbox: 0.1240 d2.loss_iou: 0.2398 d3.loss_cls: 0.2732 d3.loss_bbox: 0.1252 d3.loss_iou: 0.2394 d4.loss_cls: 0.2720 d4.loss_bbox: 0.1233 d4.loss_iou: 0.2391 enc_loss_cls: 0.3179 enc_loss_bbox: 0.1527 enc_loss_iou: 0.2770 dn_loss_cls: 0.0757 dn_loss_bbox: 0.1559 dn_loss_iou: 0.2074 d0.dn_loss_cls: 0.1575 d0.dn_loss_bbox: 0.3033 d0.dn_loss_iou: 0.3489 d1.dn_loss_cls: 0.1029 d1.dn_loss_bbox: 0.1894 d1.dn_loss_iou: 0.2382 d2.dn_loss_cls: 0.0888 d2.dn_loss_bbox: 0.1637 d2.dn_loss_iou: 0.2158 d3.dn_loss_cls: 0.0793 d3.dn_loss_bbox: 0.1569 d3.dn_loss_iou: 0.2086 d4.dn_loss_cls: 0.0774 d4.dn_loss_bbox: 0.1558 d4.dn_loss_iou: 0.2075 d1.loss_lmm_region: 0.1047 loss_lmm_image: 0.7302 2024/11/04 03:42:43 - mmengine - INFO - Iter(train) [135100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:06:40 time: 0.9690 data_time: 0.0192 memory: 20429 grad_norm: 23.1539 loss: 9.2452 loss_cls: 0.2988 loss_bbox: 0.1430 loss_iou: 0.2794 d0.loss_cls: 0.3244 d0.loss_bbox: 0.1517 d0.loss_iou: 0.2966 d1.loss_cls: 0.3186 d1.loss_bbox: 0.1452 d1.loss_iou: 0.2852 d2.loss_cls: 0.3098 d2.loss_bbox: 0.1436 d2.loss_iou: 0.2793 d3.loss_cls: 0.3050 d3.loss_bbox: 0.1426 d3.loss_iou: 0.2778 d4.loss_cls: 0.3015 d4.loss_bbox: 0.1418 d4.loss_iou: 0.2788 enc_loss_cls: 0.3465 enc_loss_bbox: 0.1632 enc_loss_iou: 0.3127 dn_loss_cls: 0.0874 dn_loss_bbox: 0.1497 dn_loss_iou: 0.2223 d0.dn_loss_cls: 0.1667 d0.dn_loss_bbox: 0.2727 d0.dn_loss_iou: 0.3626 d1.dn_loss_cls: 0.1140 d1.dn_loss_bbox: 0.1745 d1.dn_loss_iou: 0.2509 d2.dn_loss_cls: 0.0994 d2.dn_loss_bbox: 0.1555 d2.dn_loss_iou: 0.2293 d3.dn_loss_cls: 0.0918 d3.dn_loss_bbox: 0.1499 d3.dn_loss_iou: 0.2234 d4.dn_loss_cls: 0.0879 d4.dn_loss_bbox: 0.1497 d4.dn_loss_iou: 0.2222 d1.loss_lmm_region: 0.1170 loss_lmm_image: 0.6732 2024/11/04 03:44:21 - mmengine - INFO - Iter(train) [135200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:05:01 time: 0.9785 data_time: 0.0192 memory: 20546 grad_norm: 20.4724 loss: 8.9419 loss_cls: 0.2892 loss_bbox: 0.1336 loss_iou: 0.2870 d0.loss_cls: 0.3239 d0.loss_bbox: 0.1525 d0.loss_iou: 0.3067 d1.loss_cls: 0.3083 d1.loss_bbox: 0.1409 d1.loss_iou: 0.2956 d2.loss_cls: 0.2960 d2.loss_bbox: 0.1352 d2.loss_iou: 0.2887 d3.loss_cls: 0.2945 d3.loss_bbox: 0.1350 d3.loss_iou: 0.2880 d4.loss_cls: 0.2900 d4.loss_bbox: 0.1335 d4.loss_iou: 0.2865 enc_loss_cls: 0.3464 enc_loss_bbox: 0.1642 enc_loss_iou: 0.3315 dn_loss_cls: 0.0643 dn_loss_bbox: 0.1295 dn_loss_iou: 0.2023 d0.dn_loss_cls: 0.1490 d0.dn_loss_bbox: 0.2716 d0.dn_loss_iou: 0.3481 d1.dn_loss_cls: 0.0962 d1.dn_loss_bbox: 0.1590 d1.dn_loss_iou: 0.2333 d2.dn_loss_cls: 0.0763 d2.dn_loss_bbox: 0.1359 d2.dn_loss_iou: 0.2094 d3.dn_loss_cls: 0.0706 d3.dn_loss_bbox: 0.1301 d3.dn_loss_iou: 0.2035 d4.dn_loss_cls: 0.0648 d4.dn_loss_bbox: 0.1294 d4.dn_loss_iou: 0.2022 d1.loss_lmm_region: 0.0988 loss_lmm_image: 0.7404 2024/11/04 03:45:59 - mmengine - INFO - Iter(train) [135300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:03:21 time: 0.9779 data_time: 0.0193 memory: 21486 grad_norm: 23.5855 loss: 7.8007 loss_cls: 0.2491 loss_bbox: 0.1045 loss_iou: 0.2149 d0.loss_cls: 0.2802 d0.loss_bbox: 0.1185 d0.loss_iou: 0.2349 d1.loss_cls: 0.2653 d1.loss_bbox: 0.1073 d1.loss_iou: 0.2224 d2.loss_cls: 0.2634 d2.loss_bbox: 0.1037 d2.loss_iou: 0.2135 d3.loss_cls: 0.2572 d3.loss_bbox: 0.1031 d3.loss_iou: 0.2134 d4.loss_cls: 0.2506 d4.loss_bbox: 0.1041 d4.loss_iou: 0.2148 enc_loss_cls: 0.2941 enc_loss_bbox: 0.1263 enc_loss_iou: 0.2491 dn_loss_cls: 0.0729 dn_loss_bbox: 0.1360 dn_loss_iou: 0.1937 d0.dn_loss_cls: 0.1463 d0.dn_loss_bbox: 0.2655 d0.dn_loss_iou: 0.3371 d1.dn_loss_cls: 0.0944 d1.dn_loss_bbox: 0.1626 d1.dn_loss_iou: 0.2264 d2.dn_loss_cls: 0.0813 d2.dn_loss_bbox: 0.1446 d2.dn_loss_iou: 0.2021 d3.dn_loss_cls: 0.0754 d3.dn_loss_bbox: 0.1371 d3.dn_loss_iou: 0.1949 d4.dn_loss_cls: 0.0732 d4.dn_loss_bbox: 0.1360 d4.dn_loss_iou: 0.1937 d1.loss_lmm_region: 0.1047 loss_lmm_image: 0.6322 2024/11/04 03:47:37 - mmengine - INFO - Iter(train) [135400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:01:42 time: 0.9829 data_time: 0.0191 memory: 21257 grad_norm: 32.8474 loss: 9.0047 loss_cls: 0.2983 loss_bbox: 0.1380 loss_iou: 0.2704 d0.loss_cls: 0.3318 d0.loss_bbox: 0.1562 d0.loss_iou: 0.2921 d1.loss_cls: 0.3160 d1.loss_bbox: 0.1432 d1.loss_iou: 0.2781 d2.loss_cls: 0.3104 d2.loss_bbox: 0.1388 d2.loss_iou: 0.2715 d3.loss_cls: 0.3040 d3.loss_bbox: 0.1375 d3.loss_iou: 0.2706 d4.loss_cls: 0.2985 d4.loss_bbox: 0.1386 d4.loss_iou: 0.2711 enc_loss_cls: 0.3590 enc_loss_bbox: 0.1690 enc_loss_iou: 0.3133 dn_loss_cls: 0.0637 dn_loss_bbox: 0.1548 dn_loss_iou: 0.2027 d0.dn_loss_cls: 0.1483 d0.dn_loss_bbox: 0.3008 d0.dn_loss_iou: 0.3473 d1.dn_loss_cls: 0.0917 d1.dn_loss_bbox: 0.1841 d1.dn_loss_iou: 0.2337 d2.dn_loss_cls: 0.0777 d2.dn_loss_bbox: 0.1623 d2.dn_loss_iou: 0.2111 d3.dn_loss_cls: 0.0674 d3.dn_loss_bbox: 0.1549 d3.dn_loss_iou: 0.2042 d4.dn_loss_cls: 0.0648 d4.dn_loss_bbox: 0.1549 d4.dn_loss_iou: 0.2029 d1.loss_lmm_region: 0.0925 loss_lmm_image: 0.6784 2024/11/04 03:49:14 - mmengine - INFO - Iter(train) [135500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:00:02 time: 0.9775 data_time: 0.0189 memory: 20207 grad_norm: 19.8990 loss: 9.3856 loss_cls: 0.2959 loss_bbox: 0.1610 loss_iou: 0.2798 d0.loss_cls: 0.3287 d0.loss_bbox: 0.1816 d0.loss_iou: 0.3008 d1.loss_cls: 0.3120 d1.loss_bbox: 0.1681 d1.loss_iou: 0.2850 d2.loss_cls: 0.3072 d2.loss_bbox: 0.1628 d2.loss_iou: 0.2811 d3.loss_cls: 0.3021 d3.loss_bbox: 0.1614 d3.loss_iou: 0.2795 d4.loss_cls: 0.2975 d4.loss_bbox: 0.1607 d4.loss_iou: 0.2799 enc_loss_cls: 0.3573 enc_loss_bbox: 0.1888 enc_loss_iou: 0.3134 dn_loss_cls: 0.0826 dn_loss_bbox: 0.1507 dn_loss_iou: 0.2200 d0.dn_loss_cls: 0.1684 d0.dn_loss_bbox: 0.2912 d0.dn_loss_iou: 0.3620 d1.dn_loss_cls: 0.1135 d1.dn_loss_bbox: 0.1853 d1.dn_loss_iou: 0.2538 d2.dn_loss_cls: 0.0960 d2.dn_loss_bbox: 0.1599 d2.dn_loss_iou: 0.2294 d3.dn_loss_cls: 0.0874 d3.dn_loss_bbox: 0.1516 d3.dn_loss_iou: 0.2212 d4.dn_loss_cls: 0.0832 d4.dn_loss_bbox: 0.1506 d4.dn_loss_iou: 0.2200 d1.loss_lmm_region: 0.1176 loss_lmm_image: 0.6365 2024/11/04 03:50:52 - mmengine - INFO - Iter(train) [135600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:58:23 time: 0.9667 data_time: 0.0191 memory: 21416 grad_norm: 20.1694 loss: 8.8620 loss_cls: 0.2706 loss_bbox: 0.1495 loss_iou: 0.2719 d0.loss_cls: 0.3059 d0.loss_bbox: 0.1635 d0.loss_iou: 0.2880 d1.loss_cls: 0.2920 d1.loss_bbox: 0.1528 d1.loss_iou: 0.2756 d2.loss_cls: 0.2807 d2.loss_bbox: 0.1499 d2.loss_iou: 0.2757 d3.loss_cls: 0.2756 d3.loss_bbox: 0.1499 d3.loss_iou: 0.2741 d4.loss_cls: 0.2724 d4.loss_bbox: 0.1499 d4.loss_iou: 0.2728 enc_loss_cls: 0.3279 enc_loss_bbox: 0.1755 enc_loss_iou: 0.3067 dn_loss_cls: 0.0544 dn_loss_bbox: 0.1568 dn_loss_iou: 0.2125 d0.dn_loss_cls: 0.1400 d0.dn_loss_bbox: 0.2734 d0.dn_loss_iou: 0.3416 d1.dn_loss_cls: 0.0889 d1.dn_loss_bbox: 0.1852 d1.dn_loss_iou: 0.2422 d2.dn_loss_cls: 0.0716 d2.dn_loss_bbox: 0.1648 d2.dn_loss_iou: 0.2199 d3.dn_loss_cls: 0.0615 d3.dn_loss_bbox: 0.1577 d3.dn_loss_iou: 0.2135 d4.dn_loss_cls: 0.0550 d4.dn_loss_bbox: 0.1567 d4.dn_loss_iou: 0.2125 d1.loss_lmm_region: 0.0982 loss_lmm_image: 0.6748 2024/11/04 03:52:29 - mmengine - INFO - Iter(train) [135700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:56:43 time: 0.9736 data_time: 0.0191 memory: 20667 grad_norm: 19.9563 loss: 9.0327 loss_cls: 0.2808 loss_bbox: 0.1567 loss_iou: 0.2414 d0.loss_cls: 0.3092 d0.loss_bbox: 0.1676 d0.loss_iou: 0.2604 d1.loss_cls: 0.2949 d1.loss_bbox: 0.1622 d1.loss_iou: 0.2506 d2.loss_cls: 0.2897 d2.loss_bbox: 0.1585 d2.loss_iou: 0.2442 d3.loss_cls: 0.2857 d3.loss_bbox: 0.1574 d3.loss_iou: 0.2430 d4.loss_cls: 0.2810 d4.loss_bbox: 0.1559 d4.loss_iou: 0.2425 enc_loss_cls: 0.3304 enc_loss_bbox: 0.1847 enc_loss_iou: 0.2789 dn_loss_cls: 0.0583 dn_loss_bbox: 0.1768 dn_loss_iou: 0.2171 d0.dn_loss_cls: 0.1554 d0.dn_loss_bbox: 0.3397 d0.dn_loss_iou: 0.3754 d1.dn_loss_cls: 0.0927 d1.dn_loss_bbox: 0.2140 d1.dn_loss_iou: 0.2533 d2.dn_loss_cls: 0.0718 d2.dn_loss_bbox: 0.1854 d2.dn_loss_iou: 0.2270 d3.dn_loss_cls: 0.0624 d3.dn_loss_bbox: 0.1784 d3.dn_loss_iou: 0.2184 d4.dn_loss_cls: 0.0593 d4.dn_loss_bbox: 0.1768 d4.dn_loss_iou: 0.2171 d1.loss_lmm_region: 0.1038 loss_lmm_image: 0.6741 2024/11/04 03:54:07 - mmengine - INFO - Iter(train) [135800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:55:04 time: 0.9693 data_time: 0.0191 memory: 20541 grad_norm: 20.8832 loss: 8.0141 loss_cls: 0.2311 loss_bbox: 0.1191 loss_iou: 0.2275 d0.loss_cls: 0.2567 d0.loss_bbox: 0.1347 d0.loss_iou: 0.2394 d1.loss_cls: 0.2441 d1.loss_bbox: 0.1264 d1.loss_iou: 0.2322 d2.loss_cls: 0.2424 d2.loss_bbox: 0.1189 d2.loss_iou: 0.2263 d3.loss_cls: 0.2369 d3.loss_bbox: 0.1196 d3.loss_iou: 0.2261 d4.loss_cls: 0.2334 d4.loss_bbox: 0.1183 d4.loss_iou: 0.2268 enc_loss_cls: 0.2830 enc_loss_bbox: 0.1442 enc_loss_iou: 0.2570 dn_loss_cls: 0.0786 dn_loss_bbox: 0.1494 dn_loss_iou: 0.1950 d0.dn_loss_cls: 0.1580 d0.dn_loss_bbox: 0.2997 d0.dn_loss_iou: 0.3316 d1.dn_loss_cls: 0.1053 d1.dn_loss_bbox: 0.1795 d1.dn_loss_iou: 0.2221 d2.dn_loss_cls: 0.0901 d2.dn_loss_bbox: 0.1566 d2.dn_loss_iou: 0.2021 d3.dn_loss_cls: 0.0826 d3.dn_loss_bbox: 0.1515 d3.dn_loss_iou: 0.1962 d4.dn_loss_cls: 0.0778 d4.dn_loss_bbox: 0.1494 d4.dn_loss_iou: 0.1949 d1.loss_lmm_region: 0.1006 loss_lmm_image: 0.6489 2024/11/04 03:55:46 - mmengine - INFO - Iter(train) [135900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:53:24 time: 0.9844 data_time: 0.0192 memory: 21280 grad_norm: 18.5741 loss: 8.2644 loss_cls: 0.2492 loss_bbox: 0.1333 loss_iou: 0.2290 d0.loss_cls: 0.2732 d0.loss_bbox: 0.1470 d0.loss_iou: 0.2468 d1.loss_cls: 0.2613 d1.loss_bbox: 0.1370 d1.loss_iou: 0.2330 d2.loss_cls: 0.2587 d2.loss_bbox: 0.1329 d2.loss_iou: 0.2285 d3.loss_cls: 0.2558 d3.loss_bbox: 0.1313 d3.loss_iou: 0.2272 d4.loss_cls: 0.2481 d4.loss_bbox: 0.1351 d4.loss_iou: 0.2293 enc_loss_cls: 0.2900 enc_loss_bbox: 0.1541 enc_loss_iou: 0.2629 dn_loss_cls: 0.0755 dn_loss_bbox: 0.1450 dn_loss_iou: 0.2041 d0.dn_loss_cls: 0.1536 d0.dn_loss_bbox: 0.2679 d0.dn_loss_iou: 0.3380 d1.dn_loss_cls: 0.1020 d1.dn_loss_bbox: 0.1687 d1.dn_loss_iou: 0.2312 d2.dn_loss_cls: 0.0876 d2.dn_loss_bbox: 0.1506 d2.dn_loss_iou: 0.2115 d3.dn_loss_cls: 0.0793 d3.dn_loss_bbox: 0.1451 d3.dn_loss_iou: 0.2051 d4.dn_loss_cls: 0.0752 d4.dn_loss_bbox: 0.1451 d4.dn_loss_iou: 0.2041 d1.loss_lmm_region: 0.1049 loss_lmm_image: 0.7061 2024/11/04 03:57:24 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 03:57:24 - mmengine - INFO - Iter(train) [136000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:51:45 time: 0.9878 data_time: 0.0191 memory: 20887 grad_norm: 23.7139 loss: 8.7811 loss_cls: 0.2872 loss_bbox: 0.1307 loss_iou: 0.2253 d0.loss_cls: 0.3123 d0.loss_bbox: 0.1392 d0.loss_iou: 0.2367 d1.loss_cls: 0.2976 d1.loss_bbox: 0.1328 d1.loss_iou: 0.2268 d2.loss_cls: 0.2902 d2.loss_bbox: 0.1309 d2.loss_iou: 0.2243 d3.loss_cls: 0.2874 d3.loss_bbox: 0.1314 d3.loss_iou: 0.2248 d4.loss_cls: 0.2855 d4.loss_bbox: 0.1309 d4.loss_iou: 0.2250 enc_loss_cls: 0.3302 enc_loss_bbox: 0.1541 enc_loss_iou: 0.2534 dn_loss_cls: 0.1146 dn_loss_bbox: 0.1590 dn_loss_iou: 0.1929 d0.dn_loss_cls: 0.1908 d0.dn_loss_bbox: 0.2991 d0.dn_loss_iou: 0.3277 d1.dn_loss_cls: 0.1357 d1.dn_loss_bbox: 0.1924 d1.dn_loss_iou: 0.2251 d2.dn_loss_cls: 0.1243 d2.dn_loss_bbox: 0.1682 d2.dn_loss_iou: 0.2006 d3.dn_loss_cls: 0.1158 d3.dn_loss_bbox: 0.1604 d3.dn_loss_iou: 0.1943 d4.dn_loss_cls: 0.1134 d4.dn_loss_bbox: 0.1590 d4.dn_loss_iou: 0.1928 d1.loss_lmm_region: 0.1184 loss_lmm_image: 0.7400 2024/11/04 03:59:02 - mmengine - INFO - Iter(train) [136100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:50:06 time: 0.9754 data_time: 0.0192 memory: 20404 grad_norm: 22.6266 loss: 8.9124 loss_cls: 0.2516 loss_bbox: 0.1393 loss_iou: 0.2538 d0.loss_cls: 0.2851 d0.loss_bbox: 0.1513 d0.loss_iou: 0.2758 d1.loss_cls: 0.2767 d1.loss_bbox: 0.1410 d1.loss_iou: 0.2603 d2.loss_cls: 0.2690 d2.loss_bbox: 0.1371 d2.loss_iou: 0.2540 d3.loss_cls: 0.2585 d3.loss_bbox: 0.1384 d3.loss_iou: 0.2546 d4.loss_cls: 0.2552 d4.loss_bbox: 0.1358 d4.loss_iou: 0.2530 enc_loss_cls: 0.3098 enc_loss_bbox: 0.1624 enc_loss_iou: 0.2914 dn_loss_cls: 0.0705 dn_loss_bbox: 0.1786 dn_loss_iou: 0.2319 d0.dn_loss_cls: 0.1553 d0.dn_loss_bbox: 0.3277 d0.dn_loss_iou: 0.3795 d1.dn_loss_cls: 0.0981 d1.dn_loss_bbox: 0.2064 d1.dn_loss_iou: 0.2609 d2.dn_loss_cls: 0.0833 d2.dn_loss_bbox: 0.1860 d2.dn_loss_iou: 0.2401 d3.dn_loss_cls: 0.0752 d3.dn_loss_bbox: 0.1792 d3.dn_loss_iou: 0.2331 d4.dn_loss_cls: 0.0709 d4.dn_loss_bbox: 0.1787 d4.dn_loss_iou: 0.2320 d1.loss_lmm_region: 0.1104 loss_lmm_image: 0.6605 2024/11/04 04:00:40 - mmengine - INFO - Iter(train) [136200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:48:26 time: 0.9825 data_time: 0.0192 memory: 20471 grad_norm: 21.1383 loss: 7.8855 loss_cls: 0.2241 loss_bbox: 0.1264 loss_iou: 0.2315 d0.loss_cls: 0.2510 d0.loss_bbox: 0.1403 d0.loss_iou: 0.2490 d1.loss_cls: 0.2432 d1.loss_bbox: 0.1270 d1.loss_iou: 0.2346 d2.loss_cls: 0.2328 d2.loss_bbox: 0.1273 d2.loss_iou: 0.2311 d3.loss_cls: 0.2280 d3.loss_bbox: 0.1264 d3.loss_iou: 0.2312 d4.loss_cls: 0.2255 d4.loss_bbox: 0.1259 d4.loss_iou: 0.2312 enc_loss_cls: 0.2752 enc_loss_bbox: 0.1488 enc_loss_iou: 0.2625 dn_loss_cls: 0.0532 dn_loss_bbox: 0.1535 dn_loss_iou: 0.1930 d0.dn_loss_cls: 0.1366 d0.dn_loss_bbox: 0.2850 d0.dn_loss_iou: 0.3270 d1.dn_loss_cls: 0.0801 d1.dn_loss_bbox: 0.1810 d1.dn_loss_iou: 0.2226 d2.dn_loss_cls: 0.0655 d2.dn_loss_bbox: 0.1598 d2.dn_loss_iou: 0.2007 d3.dn_loss_cls: 0.0575 d3.dn_loss_bbox: 0.1539 d3.dn_loss_iou: 0.1941 d4.dn_loss_cls: 0.0539 d4.dn_loss_bbox: 0.1535 d4.dn_loss_iou: 0.1931 d1.loss_lmm_region: 0.0897 loss_lmm_image: 0.6586 2024/11/04 04:02:18 - mmengine - INFO - Iter(train) [136300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:46:47 time: 0.9862 data_time: 0.0193 memory: 21140 grad_norm: 21.9927 loss: 9.3587 loss_cls: 0.2776 loss_bbox: 0.1519 loss_iou: 0.2836 d0.loss_cls: 0.3074 d0.loss_bbox: 0.1621 d0.loss_iou: 0.3000 d1.loss_cls: 0.2933 d1.loss_bbox: 0.1574 d1.loss_iou: 0.2923 d2.loss_cls: 0.2861 d2.loss_bbox: 0.1533 d2.loss_iou: 0.2872 d3.loss_cls: 0.2827 d3.loss_bbox: 0.1523 d3.loss_iou: 0.2856 d4.loss_cls: 0.2789 d4.loss_bbox: 0.1540 d4.loss_iou: 0.2865 enc_loss_cls: 0.3287 enc_loss_bbox: 0.1667 enc_loss_iou: 0.3123 dn_loss_cls: 0.0811 dn_loss_bbox: 0.1658 dn_loss_iou: 0.2337 d0.dn_loss_cls: 0.1600 d0.dn_loss_bbox: 0.3008 d0.dn_loss_iou: 0.3654 d1.dn_loss_cls: 0.1129 d1.dn_loss_bbox: 0.1992 d1.dn_loss_iou: 0.2638 d2.dn_loss_cls: 0.0961 d2.dn_loss_bbox: 0.1753 d2.dn_loss_iou: 0.2407 d3.dn_loss_cls: 0.0858 d3.dn_loss_bbox: 0.1670 d3.dn_loss_iou: 0.2349 d4.dn_loss_cls: 0.0817 d4.dn_loss_bbox: 0.1659 d4.dn_loss_iou: 0.2337 d1.loss_lmm_region: 0.1227 loss_lmm_image: 0.6722 2024/11/04 04:03:55 - mmengine - INFO - Iter(train) [136400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:45:07 time: 0.9637 data_time: 0.0192 memory: 21168 grad_norm: 36.2218 loss: 9.8191 loss_cls: 0.3192 loss_bbox: 0.1698 loss_iou: 0.2923 d0.loss_cls: 0.3636 d0.loss_bbox: 0.1850 d0.loss_iou: 0.3127 d1.loss_cls: 0.3441 d1.loss_bbox: 0.1796 d1.loss_iou: 0.3012 d2.loss_cls: 0.3356 d2.loss_bbox: 0.1717 d2.loss_iou: 0.2964 d3.loss_cls: 0.3271 d3.loss_bbox: 0.1686 d3.loss_iou: 0.2927 d4.loss_cls: 0.3207 d4.loss_bbox: 0.1713 d4.loss_iou: 0.2945 enc_loss_cls: 0.3837 enc_loss_bbox: 0.2019 enc_loss_iou: 0.3325 dn_loss_cls: 0.0708 dn_loss_bbox: 0.1721 dn_loss_iou: 0.2177 d0.dn_loss_cls: 0.1518 d0.dn_loss_bbox: 0.3201 d0.dn_loss_iou: 0.3541 d1.dn_loss_cls: 0.0999 d1.dn_loss_bbox: 0.2060 d1.dn_loss_iou: 0.2491 d2.dn_loss_cls: 0.0840 d2.dn_loss_bbox: 0.1822 d2.dn_loss_iou: 0.2265 d3.dn_loss_cls: 0.0758 d3.dn_loss_bbox: 0.1737 d3.dn_loss_iou: 0.2189 d4.dn_loss_cls: 0.0707 d4.dn_loss_bbox: 0.1723 d4.dn_loss_iou: 0.2176 d1.loss_lmm_region: 0.1106 loss_lmm_image: 0.6809 2024/11/04 04:05:33 - mmengine - INFO - Iter(train) [136500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:43:28 time: 0.9752 data_time: 0.0192 memory: 21070 grad_norm: 23.3850 loss: 9.9874 loss_cls: 0.3046 loss_bbox: 0.1660 loss_iou: 0.3064 d0.loss_cls: 0.3382 d0.loss_bbox: 0.1734 d0.loss_iou: 0.3185 d1.loss_cls: 0.3249 d1.loss_bbox: 0.1602 d1.loss_iou: 0.3067 d2.loss_cls: 0.3171 d2.loss_bbox: 0.1622 d2.loss_iou: 0.3046 d3.loss_cls: 0.3125 d3.loss_bbox: 0.1638 d3.loss_iou: 0.3062 d4.loss_cls: 0.3060 d4.loss_bbox: 0.1664 d4.loss_iou: 0.3071 enc_loss_cls: 0.3611 enc_loss_bbox: 0.1839 enc_loss_iou: 0.3345 dn_loss_cls: 0.0976 dn_loss_bbox: 0.1713 dn_loss_iou: 0.2353 d0.dn_loss_cls: 0.1755 d0.dn_loss_bbox: 0.3222 d0.dn_loss_iou: 0.3789 d1.dn_loss_cls: 0.1221 d1.dn_loss_bbox: 0.2058 d1.dn_loss_iou: 0.2650 d2.dn_loss_cls: 0.1118 d2.dn_loss_bbox: 0.1794 d2.dn_loss_iou: 0.2427 d3.dn_loss_cls: 0.0993 d3.dn_loss_bbox: 0.1728 d3.dn_loss_iou: 0.2365 d4.dn_loss_cls: 0.0975 d4.dn_loss_bbox: 0.1712 d4.dn_loss_iou: 0.2352 d1.loss_lmm_region: 0.1257 loss_lmm_image: 0.7173 2024/11/04 04:07:11 - mmengine - INFO - Iter(train) [136600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:41:48 time: 0.9816 data_time: 0.0193 memory: 20634 grad_norm: 19.0308 loss: 8.5834 loss_cls: 0.2455 loss_bbox: 0.1297 loss_iou: 0.2333 d0.loss_cls: 0.2806 d0.loss_bbox: 0.1383 d0.loss_iou: 0.2484 d1.loss_cls: 0.2698 d1.loss_bbox: 0.1288 d1.loss_iou: 0.2364 d2.loss_cls: 0.2546 d2.loss_bbox: 0.1328 d2.loss_iou: 0.2361 d3.loss_cls: 0.2553 d3.loss_bbox: 0.1294 d3.loss_iou: 0.2306 d4.loss_cls: 0.2450 d4.loss_bbox: 0.1309 d4.loss_iou: 0.2325 enc_loss_cls: 0.3073 enc_loss_bbox: 0.1478 enc_loss_iou: 0.2640 dn_loss_cls: 0.0834 dn_loss_bbox: 0.1674 dn_loss_iou: 0.2147 d0.dn_loss_cls: 0.1661 d0.dn_loss_bbox: 0.3418 d0.dn_loss_iou: 0.3656 d1.dn_loss_cls: 0.1096 d1.dn_loss_bbox: 0.2065 d1.dn_loss_iou: 0.2467 d2.dn_loss_cls: 0.0955 d2.dn_loss_bbox: 0.1772 d2.dn_loss_iou: 0.2220 d3.dn_loss_cls: 0.0874 d3.dn_loss_bbox: 0.1694 d3.dn_loss_iou: 0.2159 d4.dn_loss_cls: 0.0839 d4.dn_loss_bbox: 0.1673 d4.dn_loss_iou: 0.2145 d1.loss_lmm_region: 0.1067 loss_lmm_image: 0.6644 2024/11/04 04:08:49 - mmengine - INFO - Iter(train) [136700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:40:09 time: 0.9765 data_time: 0.0192 memory: 21172 grad_norm: 23.1194 loss: 8.2133 loss_cls: 0.2647 loss_bbox: 0.1211 loss_iou: 0.2164 d0.loss_cls: 0.2976 d0.loss_bbox: 0.1351 d0.loss_iou: 0.2342 d1.loss_cls: 0.2819 d1.loss_bbox: 0.1242 d1.loss_iou: 0.2220 d2.loss_cls: 0.2737 d2.loss_bbox: 0.1228 d2.loss_iou: 0.2186 d3.loss_cls: 0.2679 d3.loss_bbox: 0.1243 d3.loss_iou: 0.2205 d4.loss_cls: 0.2648 d4.loss_bbox: 0.1219 d4.loss_iou: 0.2169 enc_loss_cls: 0.3174 enc_loss_bbox: 0.1441 enc_loss_iou: 0.2521 dn_loss_cls: 0.0636 dn_loss_bbox: 0.1503 dn_loss_iou: 0.1967 d0.dn_loss_cls: 0.1528 d0.dn_loss_bbox: 0.2977 d0.dn_loss_iou: 0.3380 d1.dn_loss_cls: 0.0972 d1.dn_loss_bbox: 0.1819 d1.dn_loss_iou: 0.2262 d2.dn_loss_cls: 0.0798 d2.dn_loss_bbox: 0.1590 d2.dn_loss_iou: 0.2046 d3.dn_loss_cls: 0.0669 d3.dn_loss_bbox: 0.1515 d3.dn_loss_iou: 0.1980 d4.dn_loss_cls: 0.0642 d4.dn_loss_bbox: 0.1503 d4.dn_loss_iou: 0.1968 d1.loss_lmm_region: 0.1036 loss_lmm_image: 0.6917 2024/11/04 04:10:27 - mmengine - INFO - Iter(train) [136800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:38:29 time: 0.9736 data_time: 0.0192 memory: 20008 grad_norm: 18.9558 loss: 8.7835 loss_cls: 0.2641 loss_bbox: 0.1279 loss_iou: 0.2520 d0.loss_cls: 0.3040 d0.loss_bbox: 0.1381 d0.loss_iou: 0.2677 d1.loss_cls: 0.2868 d1.loss_bbox: 0.1343 d1.loss_iou: 0.2542 d2.loss_cls: 0.2755 d2.loss_bbox: 0.1277 d2.loss_iou: 0.2536 d3.loss_cls: 0.2703 d3.loss_bbox: 0.1248 d3.loss_iou: 0.2505 d4.loss_cls: 0.2659 d4.loss_bbox: 0.1275 d4.loss_iou: 0.2510 enc_loss_cls: 0.3161 enc_loss_bbox: 0.1501 enc_loss_iou: 0.2860 dn_loss_cls: 0.0808 dn_loss_bbox: 0.1636 dn_loss_iou: 0.2140 d0.dn_loss_cls: 0.1659 d0.dn_loss_bbox: 0.3007 d0.dn_loss_iou: 0.3583 d1.dn_loss_cls: 0.1101 d1.dn_loss_bbox: 0.1968 d1.dn_loss_iou: 0.2467 d2.dn_loss_cls: 0.0954 d2.dn_loss_bbox: 0.1718 d2.dn_loss_iou: 0.2225 d3.dn_loss_cls: 0.0870 d3.dn_loss_bbox: 0.1657 d3.dn_loss_iou: 0.2154 d4.dn_loss_cls: 0.0816 d4.dn_loss_bbox: 0.1636 d4.dn_loss_iou: 0.2141 d1.loss_lmm_region: 0.1072 loss_lmm_image: 0.6941 2024/11/04 04:12:04 - mmengine - INFO - Iter(train) [136900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:36:50 time: 0.9797 data_time: 0.0192 memory: 21321 grad_norm: 20.1977 loss: 8.7915 loss_cls: 0.2820 loss_bbox: 0.1418 loss_iou: 0.2580 d0.loss_cls: 0.3137 d0.loss_bbox: 0.1493 d0.loss_iou: 0.2726 d1.loss_cls: 0.2918 d1.loss_bbox: 0.1483 d1.loss_iou: 0.2653 d2.loss_cls: 0.2918 d2.loss_bbox: 0.1443 d2.loss_iou: 0.2604 d3.loss_cls: 0.2855 d3.loss_bbox: 0.1405 d3.loss_iou: 0.2578 d4.loss_cls: 0.2849 d4.loss_bbox: 0.1406 d4.loss_iou: 0.2578 enc_loss_cls: 0.3231 enc_loss_bbox: 0.1601 enc_loss_iou: 0.2906 dn_loss_cls: 0.0777 dn_loss_bbox: 0.1573 dn_loss_iou: 0.2077 d0.dn_loss_cls: 0.1472 d0.dn_loss_bbox: 0.2833 d0.dn_loss_iou: 0.3456 d1.dn_loss_cls: 0.1022 d1.dn_loss_bbox: 0.1808 d1.dn_loss_iou: 0.2339 d2.dn_loss_cls: 0.0877 d2.dn_loss_bbox: 0.1615 d2.dn_loss_iou: 0.2136 d3.dn_loss_cls: 0.0793 d3.dn_loss_bbox: 0.1573 d3.dn_loss_iou: 0.2084 d4.dn_loss_cls: 0.0776 d4.dn_loss_bbox: 0.1573 d4.dn_loss_iou: 0.2076 d1.loss_lmm_region: 0.0875 loss_lmm_image: 0.6580 2024/11/04 04:13:43 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 04:13:43 - mmengine - INFO - Iter(train) [137000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:35:10 time: 0.9905 data_time: 0.0194 memory: 21168 grad_norm: 20.0609 loss: 10.4145 loss_cls: 0.3355 loss_bbox: 0.1689 loss_iou: 0.3177 d0.loss_cls: 0.3756 d0.loss_bbox: 0.1910 d0.loss_iou: 0.3389 d1.loss_cls: 0.3526 d1.loss_bbox: 0.1801 d1.loss_iou: 0.3254 d2.loss_cls: 0.3493 d2.loss_bbox: 0.1714 d2.loss_iou: 0.3168 d3.loss_cls: 0.3389 d3.loss_bbox: 0.1719 d3.loss_iou: 0.3188 d4.loss_cls: 0.3370 d4.loss_bbox: 0.1692 d4.loss_iou: 0.3172 enc_loss_cls: 0.3967 enc_loss_bbox: 0.2025 enc_loss_iou: 0.3581 dn_loss_cls: 0.0848 dn_loss_bbox: 0.1781 dn_loss_iou: 0.2485 d0.dn_loss_cls: 0.1883 d0.dn_loss_bbox: 0.3249 d0.dn_loss_iou: 0.4012 d1.dn_loss_cls: 0.1242 d1.dn_loss_bbox: 0.2083 d1.dn_loss_iou: 0.2815 d2.dn_loss_cls: 0.1031 d2.dn_loss_bbox: 0.1866 d2.dn_loss_iou: 0.2573 d3.dn_loss_cls: 0.0937 d3.dn_loss_bbox: 0.1793 d3.dn_loss_iou: 0.2497 d4.dn_loss_cls: 0.0858 d4.dn_loss_bbox: 0.1780 d4.dn_loss_iou: 0.2483 d1.loss_lmm_region: 0.1114 loss_lmm_image: 0.6480 2024/11/04 04:15:21 - mmengine - INFO - Iter(train) [137100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:33:31 time: 0.9863 data_time: 0.0193 memory: 21241 grad_norm: 19.1221 loss: 8.9493 loss_cls: 0.2813 loss_bbox: 0.1484 loss_iou: 0.2782 d0.loss_cls: 0.3187 d0.loss_bbox: 0.1640 d0.loss_iou: 0.3017 d1.loss_cls: 0.3037 d1.loss_bbox: 0.1553 d1.loss_iou: 0.2868 d2.loss_cls: 0.2932 d2.loss_bbox: 0.1532 d2.loss_iou: 0.2811 d3.loss_cls: 0.2872 d3.loss_bbox: 0.1477 d3.loss_iou: 0.2787 d4.loss_cls: 0.2819 d4.loss_bbox: 0.1496 d4.loss_iou: 0.2787 enc_loss_cls: 0.3400 enc_loss_bbox: 0.1771 enc_loss_iou: 0.3223 dn_loss_cls: 0.0570 dn_loss_bbox: 0.1461 dn_loss_iou: 0.2078 d0.dn_loss_cls: 0.1388 d0.dn_loss_bbox: 0.2918 d0.dn_loss_iou: 0.3512 d1.dn_loss_cls: 0.0879 d1.dn_loss_bbox: 0.1788 d1.dn_loss_iou: 0.2395 d2.dn_loss_cls: 0.0706 d2.dn_loss_bbox: 0.1553 d2.dn_loss_iou: 0.2165 d3.dn_loss_cls: 0.0617 d3.dn_loss_bbox: 0.1475 d3.dn_loss_iou: 0.2092 d4.dn_loss_cls: 0.0585 d4.dn_loss_bbox: 0.1461 d4.dn_loss_iou: 0.2078 d1.loss_lmm_region: 0.1025 loss_lmm_image: 0.6456 2024/11/04 04:17:00 - mmengine - INFO - Iter(train) [137200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:31:52 time: 0.9828 data_time: 0.0192 memory: 20764 grad_norm: 20.0211 loss: 9.5073 loss_cls: 0.3201 loss_bbox: 0.1418 loss_iou: 0.2959 d0.loss_cls: 0.3532 d0.loss_bbox: 0.1521 d0.loss_iou: 0.3106 d1.loss_cls: 0.3318 d1.loss_bbox: 0.1450 d1.loss_iou: 0.3001 d2.loss_cls: 0.3243 d2.loss_bbox: 0.1413 d2.loss_iou: 0.2957 d3.loss_cls: 0.3249 d3.loss_bbox: 0.1407 d3.loss_iou: 0.2910 d4.loss_cls: 0.3176 d4.loss_bbox: 0.1421 d4.loss_iou: 0.2954 enc_loss_cls: 0.3707 enc_loss_bbox: 0.1648 enc_loss_iou: 0.3308 dn_loss_cls: 0.0740 dn_loss_bbox: 0.1604 dn_loss_iou: 0.2175 d0.dn_loss_cls: 0.1551 d0.dn_loss_bbox: 0.2961 d0.dn_loss_iou: 0.3579 d1.dn_loss_cls: 0.1009 d1.dn_loss_bbox: 0.1915 d1.dn_loss_iou: 0.2470 d2.dn_loss_cls: 0.0859 d2.dn_loss_bbox: 0.1691 d2.dn_loss_iou: 0.2258 d3.dn_loss_cls: 0.0772 d3.dn_loss_bbox: 0.1614 d3.dn_loss_iou: 0.2182 d4.dn_loss_cls: 0.0742 d4.dn_loss_bbox: 0.1603 d4.dn_loss_iou: 0.2175 d1.loss_lmm_region: 0.0954 loss_lmm_image: 0.7320 2024/11/04 04:18:38 - mmengine - INFO - Iter(train) [137300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:30:12 time: 0.9820 data_time: 0.0192 memory: 21249 grad_norm: 20.5462 loss: 10.0611 loss_cls: 0.3414 loss_bbox: 0.1607 loss_iou: 0.3069 d0.loss_cls: 0.3739 d0.loss_bbox: 0.1732 d0.loss_iou: 0.3221 d1.loss_cls: 0.3483 d1.loss_bbox: 0.1714 d1.loss_iou: 0.3175 d2.loss_cls: 0.3486 d2.loss_bbox: 0.1623 d2.loss_iou: 0.3091 d3.loss_cls: 0.3435 d3.loss_bbox: 0.1638 d3.loss_iou: 0.3067 d4.loss_cls: 0.3408 d4.loss_bbox: 0.1623 d4.loss_iou: 0.3071 enc_loss_cls: 0.3897 enc_loss_bbox: 0.1973 enc_loss_iou: 0.3452 dn_loss_cls: 0.0941 dn_loss_bbox: 0.1591 dn_loss_iou: 0.2200 d0.dn_loss_cls: 0.1866 d0.dn_loss_bbox: 0.3122 d0.dn_loss_iou: 0.3651 d1.dn_loss_cls: 0.1280 d1.dn_loss_bbox: 0.1944 d1.dn_loss_iou: 0.2548 d2.dn_loss_cls: 0.1111 d2.dn_loss_bbox: 0.1695 d2.dn_loss_iou: 0.2313 d3.dn_loss_cls: 0.0997 d3.dn_loss_bbox: 0.1605 d3.dn_loss_iou: 0.2219 d4.dn_loss_cls: 0.0947 d4.dn_loss_bbox: 0.1591 d4.dn_loss_iou: 0.2201 d1.loss_lmm_region: 0.1174 loss_lmm_image: 0.6697 2024/11/04 04:20:15 - mmengine - INFO - Iter(train) [137400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:28:33 time: 0.9710 data_time: 0.0191 memory: 21059 grad_norm: 21.4283 loss: 8.9172 loss_cls: 0.3079 loss_bbox: 0.1329 loss_iou: 0.2605 d0.loss_cls: 0.3455 d0.loss_bbox: 0.1438 d0.loss_iou: 0.2825 d1.loss_cls: 0.3315 d1.loss_bbox: 0.1352 d1.loss_iou: 0.2679 d2.loss_cls: 0.3170 d2.loss_bbox: 0.1355 d2.loss_iou: 0.2644 d3.loss_cls: 0.3104 d3.loss_bbox: 0.1330 d3.loss_iou: 0.2619 d4.loss_cls: 0.3086 d4.loss_bbox: 0.1327 d4.loss_iou: 0.2601 enc_loss_cls: 0.3627 enc_loss_bbox: 0.1534 enc_loss_iou: 0.3003 dn_loss_cls: 0.0672 dn_loss_bbox: 0.1347 dn_loss_iou: 0.2133 d0.dn_loss_cls: 0.1578 d0.dn_loss_bbox: 0.2693 d0.dn_loss_iou: 0.3569 d1.dn_loss_cls: 0.0961 d1.dn_loss_bbox: 0.1650 d1.dn_loss_iou: 0.2467 d2.dn_loss_cls: 0.0798 d2.dn_loss_bbox: 0.1436 d2.dn_loss_iou: 0.2240 d3.dn_loss_cls: 0.0705 d3.dn_loss_bbox: 0.1365 d3.dn_loss_iou: 0.2149 d4.dn_loss_cls: 0.0684 d4.dn_loss_bbox: 0.1347 d4.dn_loss_iou: 0.2134 d1.loss_lmm_region: 0.0966 loss_lmm_image: 0.6802 2024/11/04 04:21:53 - mmengine - INFO - Iter(train) [137500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:26:53 time: 0.9728 data_time: 0.0191 memory: 20890 grad_norm: 21.8865 loss: 10.2693 loss_cls: 0.3256 loss_bbox: 0.1805 loss_iou: 0.2904 d0.loss_cls: 0.3749 d0.loss_bbox: 0.1931 d0.loss_iou: 0.3075 d1.loss_cls: 0.3519 d1.loss_bbox: 0.1869 d1.loss_iou: 0.2978 d2.loss_cls: 0.3369 d2.loss_bbox: 0.1823 d2.loss_iou: 0.2938 d3.loss_cls: 0.3337 d3.loss_bbox: 0.1781 d3.loss_iou: 0.2890 d4.loss_cls: 0.3292 d4.loss_bbox: 0.1796 d4.loss_iou: 0.2896 enc_loss_cls: 0.3866 enc_loss_bbox: 0.2053 enc_loss_iou: 0.3253 dn_loss_cls: 0.0888 dn_loss_bbox: 0.1962 dn_loss_iou: 0.2321 d0.dn_loss_cls: 0.1793 d0.dn_loss_bbox: 0.3595 d0.dn_loss_iou: 0.3870 d1.dn_loss_cls: 0.1254 d1.dn_loss_bbox: 0.2326 d1.dn_loss_iou: 0.2669 d2.dn_loss_cls: 0.1062 d2.dn_loss_bbox: 0.2063 d2.dn_loss_iou: 0.2413 d3.dn_loss_cls: 0.0938 d3.dn_loss_bbox: 0.1974 d3.dn_loss_iou: 0.2332 d4.dn_loss_cls: 0.0897 d4.dn_loss_bbox: 0.1963 d4.dn_loss_iou: 0.2321 d1.loss_lmm_region: 0.0998 loss_lmm_image: 0.6674 2024/11/04 04:23:30 - mmengine - INFO - Iter(train) [137600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:25:14 time: 0.9713 data_time: 0.0192 memory: 20905 grad_norm: 24.5942 loss: 9.7501 loss_cls: 0.3454 loss_bbox: 0.1386 loss_iou: 0.2611 d0.loss_cls: 0.3865 d0.loss_bbox: 0.1471 d0.loss_iou: 0.2726 d1.loss_cls: 0.3621 d1.loss_bbox: 0.1437 d1.loss_iou: 0.2633 d2.loss_cls: 0.3556 d2.loss_bbox: 0.1344 d2.loss_iou: 0.2583 d3.loss_cls: 0.3517 d3.loss_bbox: 0.1347 d3.loss_iou: 0.2584 d4.loss_cls: 0.3472 d4.loss_bbox: 0.1378 d4.loss_iou: 0.2603 enc_loss_cls: 0.4050 enc_loss_bbox: 0.1524 enc_loss_iou: 0.2830 dn_loss_cls: 0.1123 dn_loss_bbox: 0.1566 dn_loss_iou: 0.2280 d0.dn_loss_cls: 0.1967 d0.dn_loss_bbox: 0.3097 d0.dn_loss_iou: 0.3782 d1.dn_loss_cls: 0.1467 d1.dn_loss_bbox: 0.1877 d1.dn_loss_iou: 0.2576 d2.dn_loss_cls: 0.1282 d2.dn_loss_bbox: 0.1653 d2.dn_loss_iou: 0.2372 d3.dn_loss_cls: 0.1213 d3.dn_loss_bbox: 0.1578 d3.dn_loss_iou: 0.2296 d4.dn_loss_cls: 0.1119 d4.dn_loss_bbox: 0.1566 d4.dn_loss_iou: 0.2281 d1.loss_lmm_region: 0.1122 loss_lmm_image: 0.7293 2024/11/04 04:25:08 - mmengine - INFO - Iter(train) [137700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:23:34 time: 0.9767 data_time: 0.0190 memory: 21262 grad_norm: 19.6329 loss: 9.9677 loss_cls: 0.3008 loss_bbox: 0.1749 loss_iou: 0.2757 d0.loss_cls: 0.3377 d0.loss_bbox: 0.1877 d0.loss_iou: 0.2899 d1.loss_cls: 0.3161 d1.loss_bbox: 0.1804 d1.loss_iou: 0.2820 d2.loss_cls: 0.3107 d2.loss_bbox: 0.1758 d2.loss_iou: 0.2761 d3.loss_cls: 0.3056 d3.loss_bbox: 0.1746 d3.loss_iou: 0.2762 d4.loss_cls: 0.3001 d4.loss_bbox: 0.1752 d4.loss_iou: 0.2764 enc_loss_cls: 0.3605 enc_loss_bbox: 0.1979 enc_loss_iou: 0.3009 dn_loss_cls: 0.0931 dn_loss_bbox: 0.2065 dn_loss_iou: 0.2339 d0.dn_loss_cls: 0.1751 d0.dn_loss_bbox: 0.3685 d0.dn_loss_iou: 0.3727 d1.dn_loss_cls: 0.1252 d1.dn_loss_bbox: 0.2435 d1.dn_loss_iou: 0.2641 d2.dn_loss_cls: 0.1095 d2.dn_loss_bbox: 0.2166 d2.dn_loss_iou: 0.2415 d3.dn_loss_cls: 0.0989 d3.dn_loss_bbox: 0.2074 d3.dn_loss_iou: 0.2347 d4.dn_loss_cls: 0.0934 d4.dn_loss_bbox: 0.2065 d4.dn_loss_iou: 0.2340 d1.loss_lmm_region: 0.1053 loss_lmm_image: 0.6623 2024/11/04 04:26:46 - mmengine - INFO - Iter(train) [137800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:21:55 time: 0.9847 data_time: 0.0193 memory: 21172 grad_norm: 21.6356 loss: 9.7698 loss_cls: 0.3174 loss_bbox: 0.1493 loss_iou: 0.3001 d0.loss_cls: 0.3534 d0.loss_bbox: 0.1644 d0.loss_iou: 0.3241 d1.loss_cls: 0.3386 d1.loss_bbox: 0.1530 d1.loss_iou: 0.3074 d2.loss_cls: 0.3241 d2.loss_bbox: 0.1527 d2.loss_iou: 0.3048 d3.loss_cls: 0.3219 d3.loss_bbox: 0.1503 d3.loss_iou: 0.3019 d4.loss_cls: 0.3185 d4.loss_bbox: 0.1494 d4.loss_iou: 0.3008 enc_loss_cls: 0.3707 enc_loss_bbox: 0.1689 enc_loss_iou: 0.3366 dn_loss_cls: 0.0821 dn_loss_bbox: 0.1682 dn_loss_iou: 0.2332 d0.dn_loss_cls: 0.1643 d0.dn_loss_bbox: 0.3149 d0.dn_loss_iou: 0.3759 d1.dn_loss_cls: 0.1117 d1.dn_loss_bbox: 0.2026 d1.dn_loss_iou: 0.2651 d2.dn_loss_cls: 0.0965 d2.dn_loss_bbox: 0.1766 d2.dn_loss_iou: 0.2420 d3.dn_loss_cls: 0.0881 d3.dn_loss_bbox: 0.1689 d3.dn_loss_iou: 0.2345 d4.dn_loss_cls: 0.0838 d4.dn_loss_bbox: 0.1681 d4.dn_loss_iou: 0.2331 d1.loss_lmm_region: 0.1016 loss_lmm_image: 0.6502 2024/11/04 04:28:25 - mmengine - INFO - Iter(train) [137900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:20:16 time: 0.9770 data_time: 0.0192 memory: 20981 grad_norm: 23.3472 loss: 9.9084 loss_cls: 0.3231 loss_bbox: 0.1486 loss_iou: 0.2861 d0.loss_cls: 0.3645 d0.loss_bbox: 0.1568 d0.loss_iou: 0.3024 d1.loss_cls: 0.3493 d1.loss_bbox: 0.1496 d1.loss_iou: 0.2906 d2.loss_cls: 0.3334 d2.loss_bbox: 0.1508 d2.loss_iou: 0.2896 d3.loss_cls: 0.3295 d3.loss_bbox: 0.1463 d3.loss_iou: 0.2842 d4.loss_cls: 0.3245 d4.loss_bbox: 0.1475 d4.loss_iou: 0.2859 enc_loss_cls: 0.3789 enc_loss_bbox: 0.1732 enc_loss_iou: 0.3254 dn_loss_cls: 0.1047 dn_loss_bbox: 0.1827 dn_loss_iou: 0.2297 d0.dn_loss_cls: 0.1875 d0.dn_loss_bbox: 0.3080 d0.dn_loss_iou: 0.3584 d1.dn_loss_cls: 0.1399 d1.dn_loss_bbox: 0.2091 d1.dn_loss_iou: 0.2574 d2.dn_loss_cls: 0.1222 d2.dn_loss_bbox: 0.1893 d2.dn_loss_iou: 0.2373 d3.dn_loss_cls: 0.1116 d3.dn_loss_bbox: 0.1846 d3.dn_loss_iou: 0.2313 d4.dn_loss_cls: 0.1061 d4.dn_loss_bbox: 0.1827 d4.dn_loss_iou: 0.2296 d1.loss_lmm_region: 0.1131 loss_lmm_image: 0.6832 2024/11/04 04:30:02 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 04:30:02 - mmengine - INFO - Iter(train) [138000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:18:36 time: 0.9677 data_time: 0.0193 memory: 20690 grad_norm: 20.2637 loss: 10.6264 loss_cls: 0.3311 loss_bbox: 0.1819 loss_iou: 0.3461 d0.loss_cls: 0.3612 d0.loss_bbox: 0.2055 d0.loss_iou: 0.3644 d1.loss_cls: 0.3495 d1.loss_bbox: 0.1869 d1.loss_iou: 0.3525 d2.loss_cls: 0.3440 d2.loss_bbox: 0.1849 d2.loss_iou: 0.3485 d3.loss_cls: 0.3370 d3.loss_bbox: 0.1824 d3.loss_iou: 0.3453 d4.loss_cls: 0.3307 d4.loss_bbox: 0.1837 d4.loss_iou: 0.3474 enc_loss_cls: 0.3936 enc_loss_bbox: 0.2082 enc_loss_iou: 0.3771 dn_loss_cls: 0.0707 dn_loss_bbox: 0.1870 dn_loss_iou: 0.2573 d0.dn_loss_cls: 0.1600 d0.dn_loss_bbox: 0.3372 d0.dn_loss_iou: 0.4057 d1.dn_loss_cls: 0.1036 d1.dn_loss_bbox: 0.2214 d1.dn_loss_iou: 0.2884 d2.dn_loss_cls: 0.0870 d2.dn_loss_bbox: 0.1965 d2.dn_loss_iou: 0.2656 d3.dn_loss_cls: 0.0750 d3.dn_loss_bbox: 0.1884 d3.dn_loss_iou: 0.2583 d4.dn_loss_cls: 0.0718 d4.dn_loss_bbox: 0.1871 d4.dn_loss_iou: 0.2573 d1.loss_lmm_region: 0.1135 loss_lmm_image: 0.6326 2024/11/04 04:31:40 - mmengine - INFO - Iter(train) [138100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:16:57 time: 0.9892 data_time: 0.0191 memory: 19743 grad_norm: 20.3898 loss: 9.0318 loss_cls: 0.3016 loss_bbox: 0.1300 loss_iou: 0.2525 d0.loss_cls: 0.3319 d0.loss_bbox: 0.1393 d0.loss_iou: 0.2627 d1.loss_cls: 0.3120 d1.loss_bbox: 0.1348 d1.loss_iou: 0.2579 d2.loss_cls: 0.3105 d2.loss_bbox: 0.1293 d2.loss_iou: 0.2509 d3.loss_cls: 0.3061 d3.loss_bbox: 0.1291 d3.loss_iou: 0.2512 d4.loss_cls: 0.3027 d4.loss_bbox: 0.1305 d4.loss_iou: 0.2527 enc_loss_cls: 0.3497 enc_loss_bbox: 0.1492 enc_loss_iou: 0.2802 dn_loss_cls: 0.0921 dn_loss_bbox: 0.1591 dn_loss_iou: 0.2128 d0.dn_loss_cls: 0.1726 d0.dn_loss_bbox: 0.2845 d0.dn_loss_iou: 0.3483 d1.dn_loss_cls: 0.1211 d1.dn_loss_bbox: 0.1855 d1.dn_loss_iou: 0.2408 d2.dn_loss_cls: 0.1057 d2.dn_loss_bbox: 0.1642 d2.dn_loss_iou: 0.2214 d3.dn_loss_cls: 0.0983 d3.dn_loss_bbox: 0.1593 d3.dn_loss_iou: 0.2141 d4.dn_loss_cls: 0.0936 d4.dn_loss_bbox: 0.1592 d4.dn_loss_iou: 0.2129 d1.loss_lmm_region: 0.1022 loss_lmm_image: 0.7191 2024/11/04 04:33:18 - mmengine - INFO - Iter(train) [138200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:15:17 time: 0.9668 data_time: 0.0192 memory: 20732 grad_norm: 19.5245 loss: 8.9838 loss_cls: 0.2933 loss_bbox: 0.1341 loss_iou: 0.2668 d0.loss_cls: 0.3170 d0.loss_bbox: 0.1486 d0.loss_iou: 0.2830 d1.loss_cls: 0.3064 d1.loss_bbox: 0.1393 d1.loss_iou: 0.2709 d2.loss_cls: 0.2953 d2.loss_bbox: 0.1373 d2.loss_iou: 0.2695 d3.loss_cls: 0.2945 d3.loss_bbox: 0.1363 d3.loss_iou: 0.2680 d4.loss_cls: 0.2946 d4.loss_bbox: 0.1343 d4.loss_iou: 0.2661 enc_loss_cls: 0.3362 enc_loss_bbox: 0.1578 enc_loss_iou: 0.3028 dn_loss_cls: 0.0701 dn_loss_bbox: 0.1540 dn_loss_iou: 0.2199 d0.dn_loss_cls: 0.1547 d0.dn_loss_bbox: 0.2998 d0.dn_loss_iou: 0.3664 d1.dn_loss_cls: 0.0991 d1.dn_loss_bbox: 0.1862 d1.dn_loss_iou: 0.2526 d2.dn_loss_cls: 0.0840 d2.dn_loss_bbox: 0.1638 d2.dn_loss_iou: 0.2294 d3.dn_loss_cls: 0.0748 d3.dn_loss_bbox: 0.1551 d3.dn_loss_iou: 0.2213 d4.dn_loss_cls: 0.0717 d4.dn_loss_bbox: 0.1541 d4.dn_loss_iou: 0.2200 d1.loss_lmm_region: 0.0968 loss_lmm_image: 0.6578 2024/11/04 04:34:55 - mmengine - INFO - Iter(train) [138300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:13:38 time: 0.9725 data_time: 0.0192 memory: 21140 grad_norm: 18.8311 loss: 9.2478 loss_cls: 0.2793 loss_bbox: 0.1508 loss_iou: 0.2894 d0.loss_cls: 0.3103 d0.loss_bbox: 0.1641 d0.loss_iou: 0.3069 d1.loss_cls: 0.2990 d1.loss_bbox: 0.1526 d1.loss_iou: 0.2917 d2.loss_cls: 0.2883 d2.loss_bbox: 0.1516 d2.loss_iou: 0.2903 d3.loss_cls: 0.2849 d3.loss_bbox: 0.1505 d3.loss_iou: 0.2897 d4.loss_cls: 0.2811 d4.loss_bbox: 0.1504 d4.loss_iou: 0.2897 enc_loss_cls: 0.3382 enc_loss_bbox: 0.1747 enc_loss_iou: 0.3240 dn_loss_cls: 0.0667 dn_loss_bbox: 0.1589 dn_loss_iou: 0.2239 d0.dn_loss_cls: 0.1645 d0.dn_loss_bbox: 0.3061 d0.dn_loss_iou: 0.3785 d1.dn_loss_cls: 0.1013 d1.dn_loss_bbox: 0.1890 d1.dn_loss_iou: 0.2569 d2.dn_loss_cls: 0.0819 d2.dn_loss_bbox: 0.1652 d2.dn_loss_iou: 0.2328 d3.dn_loss_cls: 0.0719 d3.dn_loss_bbox: 0.1594 d3.dn_loss_iou: 0.2252 d4.dn_loss_cls: 0.0673 d4.dn_loss_bbox: 0.1589 d4.dn_loss_iou: 0.2238 d1.loss_lmm_region: 0.1181 loss_lmm_image: 0.6399 2024/11/04 04:36:33 - mmengine - INFO - Iter(train) [138400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:11:58 time: 0.9800 data_time: 0.0191 memory: 21262 grad_norm: 20.5098 loss: 8.3918 loss_cls: 0.2577 loss_bbox: 0.1288 loss_iou: 0.2408 d0.loss_cls: 0.2795 d0.loss_bbox: 0.1363 d0.loss_iou: 0.2544 d1.loss_cls: 0.2703 d1.loss_bbox: 0.1312 d1.loss_iou: 0.2448 d2.loss_cls: 0.2624 d2.loss_bbox: 0.1306 d2.loss_iou: 0.2433 d3.loss_cls: 0.2636 d3.loss_bbox: 0.1273 d3.loss_iou: 0.2395 d4.loss_cls: 0.2575 d4.loss_bbox: 0.1288 d4.loss_iou: 0.2413 enc_loss_cls: 0.2905 enc_loss_bbox: 0.1530 enc_loss_iou: 0.2707 dn_loss_cls: 0.0769 dn_loss_bbox: 0.1503 dn_loss_iou: 0.2106 d0.dn_loss_cls: 0.1622 d0.dn_loss_bbox: 0.2845 d0.dn_loss_iou: 0.3409 d1.dn_loss_cls: 0.1119 d1.dn_loss_bbox: 0.1759 d1.dn_loss_iou: 0.2376 d2.dn_loss_cls: 0.0919 d2.dn_loss_bbox: 0.1571 d2.dn_loss_iou: 0.2166 d3.dn_loss_cls: 0.0843 d3.dn_loss_bbox: 0.1508 d3.dn_loss_iou: 0.2113 d4.dn_loss_cls: 0.0783 d4.dn_loss_bbox: 0.1502 d4.dn_loss_iou: 0.2105 d1.loss_lmm_region: 0.1183 loss_lmm_image: 0.6197 2024/11/04 04:38:11 - mmengine - INFO - Iter(train) [138500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:10:19 time: 0.9789 data_time: 0.0192 memory: 20130 grad_norm: 20.7809 loss: 8.0623 loss_cls: 0.2404 loss_bbox: 0.1248 loss_iou: 0.2324 d0.loss_cls: 0.2667 d0.loss_bbox: 0.1403 d0.loss_iou: 0.2528 d1.loss_cls: 0.2659 d1.loss_bbox: 0.1223 d1.loss_iou: 0.2353 d2.loss_cls: 0.2522 d2.loss_bbox: 0.1242 d2.loss_iou: 0.2334 d3.loss_cls: 0.2460 d3.loss_bbox: 0.1225 d3.loss_iou: 0.2321 d4.loss_cls: 0.2432 d4.loss_bbox: 0.1238 d4.loss_iou: 0.2324 enc_loss_cls: 0.2891 enc_loss_bbox: 0.1463 enc_loss_iou: 0.2666 dn_loss_cls: 0.0644 dn_loss_bbox: 0.1400 dn_loss_iou: 0.1966 d0.dn_loss_cls: 0.1452 d0.dn_loss_bbox: 0.2804 d0.dn_loss_iou: 0.3365 d1.dn_loss_cls: 0.0902 d1.dn_loss_bbox: 0.1685 d1.dn_loss_iou: 0.2262 d2.dn_loss_cls: 0.0771 d2.dn_loss_bbox: 0.1482 d2.dn_loss_iou: 0.2046 d3.dn_loss_cls: 0.0705 d3.dn_loss_bbox: 0.1408 d3.dn_loss_iou: 0.1976 d4.dn_loss_cls: 0.0660 d4.dn_loss_bbox: 0.1400 d4.dn_loss_iou: 0.1968 d1.loss_lmm_region: 0.1033 loss_lmm_image: 0.6766 2024/11/04 04:39:49 - mmengine - INFO - Iter(train) [138600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:08:39 time: 0.9839 data_time: 0.0193 memory: 21283 grad_norm: 19.3009 loss: 8.9968 loss_cls: 0.2776 loss_bbox: 0.1440 loss_iou: 0.2665 d0.loss_cls: 0.2971 d0.loss_bbox: 0.1623 d0.loss_iou: 0.2871 d1.loss_cls: 0.2909 d1.loss_bbox: 0.1533 d1.loss_iou: 0.2763 d2.loss_cls: 0.2839 d2.loss_bbox: 0.1472 d2.loss_iou: 0.2696 d3.loss_cls: 0.2832 d3.loss_bbox: 0.1445 d3.loss_iou: 0.2667 d4.loss_cls: 0.2784 d4.loss_bbox: 0.1443 d4.loss_iou: 0.2659 enc_loss_cls: 0.3146 enc_loss_bbox: 0.1737 enc_loss_iou: 0.3052 dn_loss_cls: 0.0631 dn_loss_bbox: 0.1681 dn_loss_iou: 0.2225 d0.dn_loss_cls: 0.1472 d0.dn_loss_bbox: 0.3041 d0.dn_loss_iou: 0.3650 d1.dn_loss_cls: 0.0931 d1.dn_loss_bbox: 0.1935 d1.dn_loss_iou: 0.2500 d2.dn_loss_cls: 0.0785 d2.dn_loss_bbox: 0.1718 d2.dn_loss_iou: 0.2275 d3.dn_loss_cls: 0.0703 d3.dn_loss_bbox: 0.1684 d3.dn_loss_iou: 0.2235 d4.dn_loss_cls: 0.0644 d4.dn_loss_bbox: 0.1680 d4.dn_loss_iou: 0.2224 d1.loss_lmm_region: 0.1090 loss_lmm_image: 0.6542 2024/11/04 04:41:26 - mmengine - INFO - Iter(train) [138700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:07:00 time: 0.9686 data_time: 0.0192 memory: 20847 grad_norm: 18.6800 loss: 8.7951 loss_cls: 0.2701 loss_bbox: 0.1407 loss_iou: 0.2558 d0.loss_cls: 0.3158 d0.loss_bbox: 0.1475 d0.loss_iou: 0.2700 d1.loss_cls: 0.2909 d1.loss_bbox: 0.1456 d1.loss_iou: 0.2632 d2.loss_cls: 0.2790 d2.loss_bbox: 0.1451 d2.loss_iou: 0.2618 d3.loss_cls: 0.2795 d3.loss_bbox: 0.1367 d3.loss_iou: 0.2560 d4.loss_cls: 0.2719 d4.loss_bbox: 0.1402 d4.loss_iou: 0.2554 enc_loss_cls: 0.3376 enc_loss_bbox: 0.1560 enc_loss_iou: 0.2904 dn_loss_cls: 0.0754 dn_loss_bbox: 0.1523 dn_loss_iou: 0.2096 d0.dn_loss_cls: 0.1545 d0.dn_loss_bbox: 0.2776 d0.dn_loss_iou: 0.3362 d1.dn_loss_cls: 0.1035 d1.dn_loss_bbox: 0.1815 d1.dn_loss_iou: 0.2375 d2.dn_loss_cls: 0.0900 d2.dn_loss_bbox: 0.1598 d2.dn_loss_iou: 0.2161 d3.dn_loss_cls: 0.0812 d3.dn_loss_bbox: 0.1523 d3.dn_loss_iou: 0.2104 d4.dn_loss_cls: 0.0760 d4.dn_loss_bbox: 0.1523 d4.dn_loss_iou: 0.2096 d1.loss_lmm_region: 0.0952 loss_lmm_image: 0.7151 2024/11/04 04:43:04 - mmengine - INFO - Iter(train) [138800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:05:21 time: 0.9845 data_time: 0.0192 memory: 21084 grad_norm: 19.3751 loss: 8.9835 loss_cls: 0.3001 loss_bbox: 0.1383 loss_iou: 0.2604 d0.loss_cls: 0.3342 d0.loss_bbox: 0.1521 d0.loss_iou: 0.2717 d1.loss_cls: 0.3124 d1.loss_bbox: 0.1451 d1.loss_iou: 0.2671 d2.loss_cls: 0.3100 d2.loss_bbox: 0.1378 d2.loss_iou: 0.2591 d3.loss_cls: 0.3029 d3.loss_bbox: 0.1398 d3.loss_iou: 0.2601 d4.loss_cls: 0.3011 d4.loss_bbox: 0.1378 d4.loss_iou: 0.2604 enc_loss_cls: 0.3562 enc_loss_bbox: 0.1646 enc_loss_iou: 0.2879 dn_loss_cls: 0.0801 dn_loss_bbox: 0.1455 dn_loss_iou: 0.2071 d0.dn_loss_cls: 0.1648 d0.dn_loss_bbox: 0.2929 d0.dn_loss_iou: 0.3470 d1.dn_loss_cls: 0.1075 d1.dn_loss_bbox: 0.1775 d1.dn_loss_iou: 0.2351 d2.dn_loss_cls: 0.0915 d2.dn_loss_bbox: 0.1530 d2.dn_loss_iou: 0.2143 d3.dn_loss_cls: 0.0817 d3.dn_loss_bbox: 0.1466 d3.dn_loss_iou: 0.2079 d4.dn_loss_cls: 0.0813 d4.dn_loss_bbox: 0.1456 d4.dn_loss_iou: 0.2072 d1.loss_lmm_region: 0.1007 loss_lmm_image: 0.6972 2024/11/04 04:44:42 - mmengine - INFO - Iter(train) [138900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:03:41 time: 0.9662 data_time: 0.0190 memory: 20864 grad_norm: 21.7490 loss: 9.4838 loss_cls: 0.2976 loss_bbox: 0.1707 loss_iou: 0.2853 d0.loss_cls: 0.3282 d0.loss_bbox: 0.1889 d0.loss_iou: 0.3067 d1.loss_cls: 0.3187 d1.loss_bbox: 0.1735 d1.loss_iou: 0.2924 d2.loss_cls: 0.3093 d2.loss_bbox: 0.1717 d2.loss_iou: 0.2911 d3.loss_cls: 0.3021 d3.loss_bbox: 0.1711 d3.loss_iou: 0.2874 d4.loss_cls: 0.3006 d4.loss_bbox: 0.1681 d4.loss_iou: 0.2849 enc_loss_cls: 0.3592 enc_loss_bbox: 0.1885 enc_loss_iou: 0.3152 dn_loss_cls: 0.0732 dn_loss_bbox: 0.1590 dn_loss_iou: 0.2134 d0.dn_loss_cls: 0.1498 d0.dn_loss_bbox: 0.3097 d0.dn_loss_iou: 0.3574 d1.dn_loss_cls: 0.1022 d1.dn_loss_bbox: 0.1899 d1.dn_loss_iou: 0.2438 d2.dn_loss_cls: 0.0866 d2.dn_loss_bbox: 0.1656 d2.dn_loss_iou: 0.2205 d3.dn_loss_cls: 0.0795 d3.dn_loss_bbox: 0.1615 d3.dn_loss_iou: 0.2152 d4.dn_loss_cls: 0.0746 d4.dn_loss_bbox: 0.1590 d4.dn_loss_iou: 0.2133 d1.loss_lmm_region: 0.1093 loss_lmm_image: 0.6893 2024/11/04 04:46:21 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 04:46:21 - mmengine - INFO - Iter(train) [139000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:02:02 time: 0.9953 data_time: 0.0192 memory: 20910 grad_norm: 20.4398 loss: 8.0825 loss_cls: 0.2395 loss_bbox: 0.1203 loss_iou: 0.2223 d0.loss_cls: 0.2742 d0.loss_bbox: 0.1278 d0.loss_iou: 0.2332 d1.loss_cls: 0.2597 d1.loss_bbox: 0.1195 d1.loss_iou: 0.2222 d2.loss_cls: 0.2476 d2.loss_bbox: 0.1192 d2.loss_iou: 0.2219 d3.loss_cls: 0.2428 d3.loss_bbox: 0.1190 d3.loss_iou: 0.2237 d4.loss_cls: 0.2418 d4.loss_bbox: 0.1192 d4.loss_iou: 0.2221 enc_loss_cls: 0.2908 enc_loss_bbox: 0.1389 enc_loss_iou: 0.2500 dn_loss_cls: 0.0858 dn_loss_bbox: 0.1492 dn_loss_iou: 0.1942 d0.dn_loss_cls: 0.1694 d0.dn_loss_bbox: 0.2853 d0.dn_loss_iou: 0.3270 d1.dn_loss_cls: 0.1188 d1.dn_loss_bbox: 0.1760 d1.dn_loss_iou: 0.2215 d2.dn_loss_cls: 0.1024 d2.dn_loss_bbox: 0.1554 d2.dn_loss_iou: 0.2005 d3.dn_loss_cls: 0.0908 d3.dn_loss_bbox: 0.1498 d3.dn_loss_iou: 0.1950 d4.dn_loss_cls: 0.0862 d4.dn_loss_bbox: 0.1492 d4.dn_loss_iou: 0.1941 d1.loss_lmm_region: 0.0941 loss_lmm_image: 0.6822 2024/11/04 04:47:58 - mmengine - INFO - Iter(train) [139100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:00:22 time: 0.9747 data_time: 0.0192 memory: 20793 grad_norm: 19.8713 loss: 9.4439 loss_cls: 0.3176 loss_bbox: 0.1457 loss_iou: 0.2956 d0.loss_cls: 0.3587 d0.loss_bbox: 0.1566 d0.loss_iou: 0.3131 d1.loss_cls: 0.3321 d1.loss_bbox: 0.1510 d1.loss_iou: 0.3019 d2.loss_cls: 0.3236 d2.loss_bbox: 0.1465 d2.loss_iou: 0.2985 d3.loss_cls: 0.3193 d3.loss_bbox: 0.1463 d3.loss_iou: 0.2980 d4.loss_cls: 0.3191 d4.loss_bbox: 0.1442 d4.loss_iou: 0.2954 enc_loss_cls: 0.3717 enc_loss_bbox: 0.1684 enc_loss_iou: 0.3269 dn_loss_cls: 0.0726 dn_loss_bbox: 0.1579 dn_loss_iou: 0.2135 d0.dn_loss_cls: 0.1571 d0.dn_loss_bbox: 0.3030 d0.dn_loss_iou: 0.3556 d1.dn_loss_cls: 0.1008 d1.dn_loss_bbox: 0.1885 d1.dn_loss_iou: 0.2428 d2.dn_loss_cls: 0.0838 d2.dn_loss_bbox: 0.1620 d2.dn_loss_iou: 0.2196 d3.dn_loss_cls: 0.0769 d3.dn_loss_bbox: 0.1599 d3.dn_loss_iou: 0.2150 d4.dn_loss_cls: 0.0740 d4.dn_loss_bbox: 0.1580 d4.dn_loss_iou: 0.2136 d1.loss_lmm_region: 0.1118 loss_lmm_image: 0.6472 2024/11/04 04:49:36 - mmengine - INFO - Iter(train) [139200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:58:43 time: 0.9830 data_time: 0.0192 memory: 20882 grad_norm: 19.2620 loss: 8.7269 loss_cls: 0.2833 loss_bbox: 0.1285 loss_iou: 0.2310 d0.loss_cls: 0.3152 d0.loss_bbox: 0.1393 d0.loss_iou: 0.2510 d1.loss_cls: 0.2989 d1.loss_bbox: 0.1330 d1.loss_iou: 0.2329 d2.loss_cls: 0.2907 d2.loss_bbox: 0.1296 d2.loss_iou: 0.2308 d3.loss_cls: 0.2860 d3.loss_bbox: 0.1308 d3.loss_iou: 0.2309 d4.loss_cls: 0.2846 d4.loss_bbox: 0.1289 d4.loss_iou: 0.2305 enc_loss_cls: 0.3353 enc_loss_bbox: 0.1543 enc_loss_iou: 0.2670 dn_loss_cls: 0.0839 dn_loss_bbox: 0.1572 dn_loss_iou: 0.2075 d0.dn_loss_cls: 0.1766 d0.dn_loss_bbox: 0.2973 d0.dn_loss_iou: 0.3474 d1.dn_loss_cls: 0.1220 d1.dn_loss_bbox: 0.1882 d1.dn_loss_iou: 0.2364 d2.dn_loss_cls: 0.1017 d2.dn_loss_bbox: 0.1648 d2.dn_loss_iou: 0.2146 d3.dn_loss_cls: 0.0901 d3.dn_loss_bbox: 0.1589 d3.dn_loss_iou: 0.2088 d4.dn_loss_cls: 0.0852 d4.dn_loss_bbox: 0.1573 d4.dn_loss_iou: 0.2075 d1.loss_lmm_region: 0.1035 loss_lmm_image: 0.7055 2024/11/04 04:51:14 - mmengine - INFO - Iter(train) [139300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:57:04 time: 0.9712 data_time: 0.0191 memory: 20717 grad_norm: 29.6060 loss: 8.3208 loss_cls: 0.2525 loss_bbox: 0.1114 loss_iou: 0.2256 d0.loss_cls: 0.2882 d0.loss_bbox: 0.1233 d0.loss_iou: 0.2419 d1.loss_cls: 0.2707 d1.loss_bbox: 0.1150 d1.loss_iou: 0.2322 d2.loss_cls: 0.2604 d2.loss_bbox: 0.1108 d2.loss_iou: 0.2263 d3.loss_cls: 0.2578 d3.loss_bbox: 0.1108 d3.loss_iou: 0.2251 d4.loss_cls: 0.2531 d4.loss_bbox: 0.1116 d4.loss_iou: 0.2259 enc_loss_cls: 0.3025 enc_loss_bbox: 0.1388 enc_loss_iou: 0.2687 dn_loss_cls: 0.1104 dn_loss_bbox: 0.1366 dn_loss_iou: 0.1963 d0.dn_loss_cls: 0.1798 d0.dn_loss_bbox: 0.2738 d0.dn_loss_iou: 0.3347 d1.dn_loss_cls: 0.1359 d1.dn_loss_bbox: 0.1666 d1.dn_loss_iou: 0.2268 d2.dn_loss_cls: 0.1212 d2.dn_loss_bbox: 0.1426 d2.dn_loss_iou: 0.2023 d3.dn_loss_cls: 0.1179 d3.dn_loss_bbox: 0.1382 d3.dn_loss_iou: 0.1975 d4.dn_loss_cls: 0.1085 d4.dn_loss_bbox: 0.1366 d4.dn_loss_iou: 0.1963 d1.loss_lmm_region: 0.1046 loss_lmm_image: 0.7418 2024/11/04 04:52:53 - mmengine - INFO - Iter(train) [139400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:55:24 time: 0.9845 data_time: 0.0191 memory: 21440 grad_norm: 23.6411 loss: 9.9816 loss_cls: 0.3130 loss_bbox: 0.1484 loss_iou: 0.2939 d0.loss_cls: 0.3470 d0.loss_bbox: 0.1630 d0.loss_iou: 0.3102 d1.loss_cls: 0.3307 d1.loss_bbox: 0.1555 d1.loss_iou: 0.3024 d2.loss_cls: 0.3228 d2.loss_bbox: 0.1511 d2.loss_iou: 0.2962 d3.loss_cls: 0.3162 d3.loss_bbox: 0.1511 d3.loss_iou: 0.2958 d4.loss_cls: 0.3133 d4.loss_bbox: 0.1494 d4.loss_iou: 0.2949 enc_loss_cls: 0.3637 enc_loss_bbox: 0.1773 enc_loss_iou: 0.3296 dn_loss_cls: 0.0935 dn_loss_bbox: 0.1806 dn_loss_iou: 0.2370 d0.dn_loss_cls: 0.1865 d0.dn_loss_bbox: 0.3440 d0.dn_loss_iou: 0.3912 d1.dn_loss_cls: 0.1247 d1.dn_loss_bbox: 0.2167 d1.dn_loss_iou: 0.2712 d2.dn_loss_cls: 0.1073 d2.dn_loss_bbox: 0.1894 d2.dn_loss_iou: 0.2453 d3.dn_loss_cls: 0.0986 d3.dn_loss_bbox: 0.1821 d3.dn_loss_iou: 0.2381 d4.dn_loss_cls: 0.0944 d4.dn_loss_bbox: 0.1808 d4.dn_loss_iou: 0.2370 d1.loss_lmm_region: 0.1309 loss_lmm_image: 0.7068 2024/11/04 04:54:32 - mmengine - INFO - Iter(train) [139500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:53:45 time: 1.0140 data_time: 0.0626 memory: 21884 grad_norm: 19.0826 loss: 9.3350 loss_cls: 0.2943 loss_bbox: 0.1408 loss_iou: 0.3005 d0.loss_cls: 0.3168 d0.loss_bbox: 0.1555 d0.loss_iou: 0.3215 d1.loss_cls: 0.3012 d1.loss_bbox: 0.1501 d1.loss_iou: 0.3129 d2.loss_cls: 0.3019 d2.loss_bbox: 0.1428 d2.loss_iou: 0.3042 d3.loss_cls: 0.3011 d3.loss_bbox: 0.1400 d3.loss_iou: 0.2989 d4.loss_cls: 0.2951 d4.loss_bbox: 0.1409 d4.loss_iou: 0.3014 enc_loss_cls: 0.3409 enc_loss_bbox: 0.1590 enc_loss_iou: 0.3368 dn_loss_cls: 0.0819 dn_loss_bbox: 0.1513 dn_loss_iou: 0.2271 d0.dn_loss_cls: 0.1549 d0.dn_loss_bbox: 0.3005 d0.dn_loss_iou: 0.3772 d1.dn_loss_cls: 0.1030 d1.dn_loss_bbox: 0.1819 d1.dn_loss_iou: 0.2599 d2.dn_loss_cls: 0.0907 d2.dn_loss_bbox: 0.1592 d2.dn_loss_iou: 0.2347 d3.dn_loss_cls: 0.0836 d3.dn_loss_bbox: 0.1527 d3.dn_loss_iou: 0.2286 d4.dn_loss_cls: 0.0827 d4.dn_loss_bbox: 0.1514 d4.dn_loss_iou: 0.2272 d1.loss_lmm_region: 0.0948 loss_lmm_image: 0.6351 2024/11/04 04:56:10 - mmengine - INFO - Iter(train) [139600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:52:06 time: 0.9735 data_time: 0.0190 memory: 20369 grad_norm: 19.0613 loss: 8.6422 loss_cls: 0.2617 loss_bbox: 0.1347 loss_iou: 0.2367 d0.loss_cls: 0.2934 d0.loss_bbox: 0.1425 d0.loss_iou: 0.2478 d1.loss_cls: 0.2780 d1.loss_bbox: 0.1362 d1.loss_iou: 0.2418 d2.loss_cls: 0.2749 d2.loss_bbox: 0.1334 d2.loss_iou: 0.2358 d3.loss_cls: 0.2675 d3.loss_bbox: 0.1333 d3.loss_iou: 0.2357 d4.loss_cls: 0.2647 d4.loss_bbox: 0.1340 d4.loss_iou: 0.2361 enc_loss_cls: 0.3096 enc_loss_bbox: 0.1598 enc_loss_iou: 0.2658 dn_loss_cls: 0.0870 dn_loss_bbox: 0.1614 dn_loss_iou: 0.2157 d0.dn_loss_cls: 0.1648 d0.dn_loss_bbox: 0.3170 d0.dn_loss_iou: 0.3649 d1.dn_loss_cls: 0.1133 d1.dn_loss_bbox: 0.1981 d1.dn_loss_iou: 0.2486 d2.dn_loss_cls: 0.0990 d2.dn_loss_bbox: 0.1720 d2.dn_loss_iou: 0.2238 d3.dn_loss_cls: 0.0893 d3.dn_loss_bbox: 0.1626 d3.dn_loss_iou: 0.2174 d4.dn_loss_cls: 0.0891 d4.dn_loss_bbox: 0.1615 d4.dn_loss_iou: 0.2159 d1.loss_lmm_region: 0.0904 loss_lmm_image: 0.6271 2024/11/04 04:57:47 - mmengine - INFO - Iter(train) [139700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:50:26 time: 0.9787 data_time: 0.0190 memory: 20723 grad_norm: 21.2389 loss: 8.8750 loss_cls: 0.2908 loss_bbox: 0.1230 loss_iou: 0.2840 d0.loss_cls: 0.3176 d0.loss_bbox: 0.1357 d0.loss_iou: 0.3031 d1.loss_cls: 0.3017 d1.loss_bbox: 0.1304 d1.loss_iou: 0.2977 d2.loss_cls: 0.2984 d2.loss_bbox: 0.1228 d2.loss_iou: 0.2853 d3.loss_cls: 0.2928 d3.loss_bbox: 0.1253 d3.loss_iou: 0.2856 d4.loss_cls: 0.2893 d4.loss_bbox: 0.1229 d4.loss_iou: 0.2847 enc_loss_cls: 0.3320 enc_loss_bbox: 0.1498 enc_loss_iou: 0.3225 dn_loss_cls: 0.0690 dn_loss_bbox: 0.1363 dn_loss_iou: 0.2165 d0.dn_loss_cls: 0.1422 d0.dn_loss_bbox: 0.2745 d0.dn_loss_iou: 0.3584 d1.dn_loss_cls: 0.0940 d1.dn_loss_bbox: 0.1699 d1.dn_loss_iou: 0.2520 d2.dn_loss_cls: 0.0793 d2.dn_loss_bbox: 0.1474 d2.dn_loss_iou: 0.2269 d3.dn_loss_cls: 0.0726 d3.dn_loss_bbox: 0.1379 d3.dn_loss_iou: 0.2185 d4.dn_loss_cls: 0.0695 d4.dn_loss_bbox: 0.1362 d4.dn_loss_iou: 0.2166 d1.loss_lmm_region: 0.0818 loss_lmm_image: 0.6799 2024/11/04 04:59:24 - mmengine - INFO - Iter(train) [139800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:48:47 time: 0.9701 data_time: 0.0192 memory: 20549 grad_norm: 21.2689 loss: 8.9598 loss_cls: 0.2882 loss_bbox: 0.1329 loss_iou: 0.2545 d0.loss_cls: 0.3215 d0.loss_bbox: 0.1488 d0.loss_iou: 0.2770 d1.loss_cls: 0.3072 d1.loss_bbox: 0.1368 d1.loss_iou: 0.2618 d2.loss_cls: 0.3017 d2.loss_bbox: 0.1346 d2.loss_iou: 0.2577 d3.loss_cls: 0.2955 d3.loss_bbox: 0.1347 d3.loss_iou: 0.2576 d4.loss_cls: 0.2875 d4.loss_bbox: 0.1334 d4.loss_iou: 0.2557 enc_loss_cls: 0.3430 enc_loss_bbox: 0.1599 enc_loss_iou: 0.2967 dn_loss_cls: 0.0744 dn_loss_bbox: 0.1598 dn_loss_iou: 0.2155 d0.dn_loss_cls: 0.1617 d0.dn_loss_bbox: 0.3070 d0.dn_loss_iou: 0.3599 d1.dn_loss_cls: 0.1068 d1.dn_loss_bbox: 0.1954 d1.dn_loss_iou: 0.2496 d2.dn_loss_cls: 0.0907 d2.dn_loss_bbox: 0.1705 d2.dn_loss_iou: 0.2250 d3.dn_loss_cls: 0.0803 d3.dn_loss_bbox: 0.1611 d3.dn_loss_iou: 0.2173 d4.dn_loss_cls: 0.0751 d4.dn_loss_bbox: 0.1598 d4.dn_loss_iou: 0.2157 d1.loss_lmm_region: 0.0925 loss_lmm_image: 0.6548 2024/11/04 05:01:02 - mmengine - INFO - Iter(train) [139900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:47:07 time: 0.9713 data_time: 0.0193 memory: 20725 grad_norm: 21.0420 loss: 9.2382 loss_cls: 0.2917 loss_bbox: 0.1411 loss_iou: 0.2465 d0.loss_cls: 0.3250 d0.loss_bbox: 0.1660 d0.loss_iou: 0.2665 d1.loss_cls: 0.3087 d1.loss_bbox: 0.1507 d1.loss_iou: 0.2546 d2.loss_cls: 0.3036 d2.loss_bbox: 0.1424 d2.loss_iou: 0.2465 d3.loss_cls: 0.2960 d3.loss_bbox: 0.1422 d3.loss_iou: 0.2474 d4.loss_cls: 0.2921 d4.loss_bbox: 0.1422 d4.loss_iou: 0.2464 enc_loss_cls: 0.3431 enc_loss_bbox: 0.1703 enc_loss_iou: 0.2796 dn_loss_cls: 0.0990 dn_loss_bbox: 0.1765 dn_loss_iou: 0.2150 d0.dn_loss_cls: 0.1800 d0.dn_loss_bbox: 0.3317 d0.dn_loss_iou: 0.3548 d1.dn_loss_cls: 0.1269 d1.dn_loss_bbox: 0.2108 d1.dn_loss_iou: 0.2462 d2.dn_loss_cls: 0.1120 d2.dn_loss_bbox: 0.1862 d2.dn_loss_iou: 0.2241 d3.dn_loss_cls: 0.1044 d3.dn_loss_bbox: 0.1775 d3.dn_loss_iou: 0.2163 d4.dn_loss_cls: 0.1000 d4.dn_loss_bbox: 0.1766 d4.dn_loss_iou: 0.2149 d1.loss_lmm_region: 0.1166 loss_lmm_image: 0.6661 2024/11/04 05:02:41 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 05:02:41 - mmengine - INFO - Iter(train) [140000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:45:28 time: 0.9805 data_time: 0.0191 memory: 20746 grad_norm: 22.6577 loss: 9.7392 loss_cls: 0.2912 loss_bbox: 0.1692 loss_iou: 0.2925 d0.loss_cls: 0.3208 d0.loss_bbox: 0.1780 d0.loss_iou: 0.3100 d1.loss_cls: 0.3107 d1.loss_bbox: 0.1708 d1.loss_iou: 0.2977 d2.loss_cls: 0.3071 d2.loss_bbox: 0.1673 d2.loss_iou: 0.2914 d3.loss_cls: 0.3009 d3.loss_bbox: 0.1685 d3.loss_iou: 0.2910 d4.loss_cls: 0.2935 d4.loss_bbox: 0.1681 d4.loss_iou: 0.2932 enc_loss_cls: 0.3372 enc_loss_bbox: 0.1960 enc_loss_iou: 0.3307 dn_loss_cls: 0.0779 dn_loss_bbox: 0.1746 dn_loss_iou: 0.2390 d0.dn_loss_cls: 0.1734 d0.dn_loss_bbox: 0.3420 d0.dn_loss_iou: 0.3934 d1.dn_loss_cls: 0.1140 d1.dn_loss_bbox: 0.2081 d1.dn_loss_iou: 0.2714 d2.dn_loss_cls: 0.0961 d2.dn_loss_bbox: 0.1814 d2.dn_loss_iou: 0.2469 d3.dn_loss_cls: 0.0864 d3.dn_loss_bbox: 0.1749 d3.dn_loss_iou: 0.2402 d4.dn_loss_cls: 0.0796 d4.dn_loss_bbox: 0.1746 d4.dn_loss_iou: 0.2390 d1.loss_lmm_region: 0.1243 loss_lmm_image: 0.6162 2024/11/04 05:04:18 - mmengine - INFO - Iter(train) [140100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:43:49 time: 0.9754 data_time: 0.0192 memory: 20836 grad_norm: 18.6726 loss: 7.6760 loss_cls: 0.2333 loss_bbox: 0.1116 loss_iou: 0.2005 d0.loss_cls: 0.2625 d0.loss_bbox: 0.1250 d0.loss_iou: 0.2175 d1.loss_cls: 0.2503 d1.loss_bbox: 0.1131 d1.loss_iou: 0.2038 d2.loss_cls: 0.2405 d2.loss_bbox: 0.1098 d2.loss_iou: 0.2005 d3.loss_cls: 0.2383 d3.loss_bbox: 0.1105 d3.loss_iou: 0.1997 d4.loss_cls: 0.2341 d4.loss_bbox: 0.1113 d4.loss_iou: 0.2000 enc_loss_cls: 0.2847 enc_loss_bbox: 0.1322 enc_loss_iou: 0.2327 dn_loss_cls: 0.0674 dn_loss_bbox: 0.1555 dn_loss_iou: 0.1856 d0.dn_loss_cls: 0.1420 d0.dn_loss_bbox: 0.2939 d0.dn_loss_iou: 0.3197 d1.dn_loss_cls: 0.0919 d1.dn_loss_bbox: 0.1823 d1.dn_loss_iou: 0.2125 d2.dn_loss_cls: 0.0778 d2.dn_loss_bbox: 0.1606 d2.dn_loss_iou: 0.1920 d3.dn_loss_cls: 0.0709 d3.dn_loss_bbox: 0.1560 d3.dn_loss_iou: 0.1869 d4.dn_loss_cls: 0.0676 d4.dn_loss_bbox: 0.1555 d4.dn_loss_iou: 0.1855 d1.loss_lmm_region: 0.0905 loss_lmm_image: 0.6696 2024/11/04 05:05:57 - mmengine - INFO - Iter(train) [140200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:42:09 time: 0.9881 data_time: 0.0191 memory: 20709 grad_norm: 19.4352 loss: 8.7210 loss_cls: 0.2748 loss_bbox: 0.1421 loss_iou: 0.2432 d0.loss_cls: 0.3040 d0.loss_bbox: 0.1560 d0.loss_iou: 0.2568 d1.loss_cls: 0.2867 d1.loss_bbox: 0.1477 d1.loss_iou: 0.2486 d2.loss_cls: 0.2809 d2.loss_bbox: 0.1461 d2.loss_iou: 0.2463 d3.loss_cls: 0.2827 d3.loss_bbox: 0.1418 d3.loss_iou: 0.2428 d4.loss_cls: 0.2715 d4.loss_bbox: 0.1453 d4.loss_iou: 0.2447 enc_loss_cls: 0.3359 enc_loss_bbox: 0.1600 enc_loss_iou: 0.2671 dn_loss_cls: 0.0840 dn_loss_bbox: 0.1553 dn_loss_iou: 0.2048 d0.dn_loss_cls: 0.1699 d0.dn_loss_bbox: 0.2938 d0.dn_loss_iou: 0.3389 d1.dn_loss_cls: 0.1199 d1.dn_loss_bbox: 0.1847 d1.dn_loss_iou: 0.2332 d2.dn_loss_cls: 0.1052 d2.dn_loss_bbox: 0.1648 d2.dn_loss_iou: 0.2130 d3.dn_loss_cls: 0.0907 d3.dn_loss_bbox: 0.1567 d3.dn_loss_iou: 0.2062 d4.dn_loss_cls: 0.0854 d4.dn_loss_bbox: 0.1553 d4.dn_loss_iou: 0.2049 d1.loss_lmm_region: 0.1116 loss_lmm_image: 0.6175 2024/11/04 05:07:35 - mmengine - INFO - Iter(train) [140300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:40:30 time: 0.9778 data_time: 0.0192 memory: 22206 grad_norm: 19.9054 loss: 8.1513 loss_cls: 0.2377 loss_bbox: 0.1228 loss_iou: 0.2182 d0.loss_cls: 0.2670 d0.loss_bbox: 0.1364 d0.loss_iou: 0.2343 d1.loss_cls: 0.2523 d1.loss_bbox: 0.1321 d1.loss_iou: 0.2280 d2.loss_cls: 0.2460 d2.loss_bbox: 0.1286 d2.loss_iou: 0.2238 d3.loss_cls: 0.2429 d3.loss_bbox: 0.1239 d3.loss_iou: 0.2189 d4.loss_cls: 0.2406 d4.loss_bbox: 0.1228 d4.loss_iou: 0.2179 enc_loss_cls: 0.2888 enc_loss_bbox: 0.1509 enc_loss_iou: 0.2550 dn_loss_cls: 0.0601 dn_loss_bbox: 0.1705 dn_loss_iou: 0.2037 d0.dn_loss_cls: 0.1432 d0.dn_loss_bbox: 0.3177 d0.dn_loss_iou: 0.3495 d1.dn_loss_cls: 0.0929 d1.dn_loss_bbox: 0.2037 d1.dn_loss_iou: 0.2373 d2.dn_loss_cls: 0.0781 d2.dn_loss_bbox: 0.1784 d2.dn_loss_iou: 0.2124 d3.dn_loss_cls: 0.0674 d3.dn_loss_bbox: 0.1719 d3.dn_loss_iou: 0.2052 d4.dn_loss_cls: 0.0607 d4.dn_loss_bbox: 0.1705 d4.dn_loss_iou: 0.2038 d1.loss_lmm_region: 0.0892 loss_lmm_image: 0.6460 2024/11/04 05:09:14 - mmengine - INFO - Iter(train) [140400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:38:51 time: 0.9941 data_time: 0.0192 memory: 21458 grad_norm: 19.0880 loss: 7.9656 loss_cls: 0.2534 loss_bbox: 0.1151 loss_iou: 0.2221 d0.loss_cls: 0.2800 d0.loss_bbox: 0.1234 d0.loss_iou: 0.2351 d1.loss_cls: 0.2678 d1.loss_bbox: 0.1165 d1.loss_iou: 0.2266 d2.loss_cls: 0.2632 d2.loss_bbox: 0.1145 d2.loss_iou: 0.2239 d3.loss_cls: 0.2584 d3.loss_bbox: 0.1147 d3.loss_iou: 0.2210 d4.loss_cls: 0.2530 d4.loss_bbox: 0.1157 d4.loss_iou: 0.2217 enc_loss_cls: 0.2969 enc_loss_bbox: 0.1339 enc_loss_iou: 0.2484 dn_loss_cls: 0.0755 dn_loss_bbox: 0.1453 dn_loss_iou: 0.1977 d0.dn_loss_cls: 0.1497 d0.dn_loss_bbox: 0.2839 d0.dn_loss_iou: 0.3347 d1.dn_loss_cls: 0.0991 d1.dn_loss_bbox: 0.1715 d1.dn_loss_iou: 0.2269 d2.dn_loss_cls: 0.0866 d2.dn_loss_bbox: 0.1520 d2.dn_loss_iou: 0.2050 d3.dn_loss_cls: 0.0793 d3.dn_loss_bbox: 0.1464 d3.dn_loss_iou: 0.1989 d4.dn_loss_cls: 0.0762 d4.dn_loss_bbox: 0.1453 d4.dn_loss_iou: 0.1977 d1.loss_lmm_region: 0.0889 loss_lmm_image: 0.5997 2024/11/04 05:10:52 - mmengine - INFO - Iter(train) [140500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:37:11 time: 0.9747 data_time: 0.0191 memory: 20371 grad_norm: 20.9454 loss: 7.5412 loss_cls: 0.2152 loss_bbox: 0.1128 loss_iou: 0.1876 d0.loss_cls: 0.2485 d0.loss_bbox: 0.1268 d0.loss_iou: 0.2050 d1.loss_cls: 0.2357 d1.loss_bbox: 0.1172 d1.loss_iou: 0.1935 d2.loss_cls: 0.2263 d2.loss_bbox: 0.1162 d2.loss_iou: 0.1914 d3.loss_cls: 0.2192 d3.loss_bbox: 0.1126 d3.loss_iou: 0.1881 d4.loss_cls: 0.2168 d4.loss_bbox: 0.1124 d4.loss_iou: 0.1876 enc_loss_cls: 0.2667 enc_loss_bbox: 0.1348 enc_loss_iou: 0.2147 dn_loss_cls: 0.0623 dn_loss_bbox: 0.1617 dn_loss_iou: 0.1975 d0.dn_loss_cls: 0.1560 d0.dn_loss_bbox: 0.3144 d0.dn_loss_iou: 0.3408 d1.dn_loss_cls: 0.0914 d1.dn_loss_bbox: 0.1887 d1.dn_loss_iou: 0.2267 d2.dn_loss_cls: 0.0757 d2.dn_loss_bbox: 0.1663 d2.dn_loss_iou: 0.2050 d3.dn_loss_cls: 0.0665 d3.dn_loss_bbox: 0.1620 d3.dn_loss_iou: 0.1987 d4.dn_loss_cls: 0.0630 d4.dn_loss_bbox: 0.1619 d4.dn_loss_iou: 0.1977 d1.loss_lmm_region: 0.1038 loss_lmm_image: 0.5720 2024/11/04 05:12:30 - mmengine - INFO - Iter(train) [140600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:35:32 time: 0.9889 data_time: 0.0192 memory: 21951 grad_norm: 19.8263 loss: 8.4221 loss_cls: 0.2368 loss_bbox: 0.1342 loss_iou: 0.2462 d0.loss_cls: 0.2723 d0.loss_bbox: 0.1421 d0.loss_iou: 0.2579 d1.loss_cls: 0.2611 d1.loss_bbox: 0.1323 d1.loss_iou: 0.2486 d2.loss_cls: 0.2509 d2.loss_bbox: 0.1312 d2.loss_iou: 0.2444 d3.loss_cls: 0.2428 d3.loss_bbox: 0.1335 d3.loss_iou: 0.2431 d4.loss_cls: 0.2376 d4.loss_bbox: 0.1347 d4.loss_iou: 0.2466 enc_loss_cls: 0.2974 enc_loss_bbox: 0.1480 enc_loss_iou: 0.2733 dn_loss_cls: 0.0650 dn_loss_bbox: 0.1728 dn_loss_iou: 0.2123 d0.dn_loss_cls: 0.1449 d0.dn_loss_bbox: 0.3069 d0.dn_loss_iou: 0.3429 d1.dn_loss_cls: 0.0908 d1.dn_loss_bbox: 0.2024 d1.dn_loss_iou: 0.2387 d2.dn_loss_cls: 0.0775 d2.dn_loss_bbox: 0.1793 d2.dn_loss_iou: 0.2188 d3.dn_loss_cls: 0.0694 d3.dn_loss_bbox: 0.1743 d3.dn_loss_iou: 0.2133 d4.dn_loss_cls: 0.0645 d4.dn_loss_bbox: 0.1730 d4.dn_loss_iou: 0.2122 d1.loss_lmm_region: 0.0926 loss_lmm_image: 0.6553 2024/11/04 05:14:08 - mmengine - INFO - Iter(train) [140700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:33:52 time: 0.9885 data_time: 0.0191 memory: 20840 grad_norm: 21.5394 loss: 9.7867 loss_cls: 0.2792 loss_bbox: 0.1717 loss_iou: 0.2774 d0.loss_cls: 0.3160 d0.loss_bbox: 0.1847 d0.loss_iou: 0.2959 d1.loss_cls: 0.2950 d1.loss_bbox: 0.1797 d1.loss_iou: 0.2860 d2.loss_cls: 0.2881 d2.loss_bbox: 0.1753 d2.loss_iou: 0.2807 d3.loss_cls: 0.2839 d3.loss_bbox: 0.1714 d3.loss_iou: 0.2774 d4.loss_cls: 0.2804 d4.loss_bbox: 0.1703 d4.loss_iou: 0.2764 enc_loss_cls: 0.3310 enc_loss_bbox: 0.1959 enc_loss_iou: 0.3139 dn_loss_cls: 0.0824 dn_loss_bbox: 0.2010 dn_loss_iou: 0.2538 d0.dn_loss_cls: 0.1773 d0.dn_loss_bbox: 0.3534 d0.dn_loss_iou: 0.4056 d1.dn_loss_cls: 0.1157 d1.dn_loss_bbox: 0.2338 d1.dn_loss_iou: 0.2845 d2.dn_loss_cls: 0.0998 d2.dn_loss_bbox: 0.2087 d2.dn_loss_iou: 0.2613 d3.dn_loss_cls: 0.0883 d3.dn_loss_bbox: 0.2019 d3.dn_loss_iou: 0.2549 d4.dn_loss_cls: 0.0838 d4.dn_loss_bbox: 0.2010 d4.dn_loss_iou: 0.2539 d1.loss_lmm_region: 0.0980 loss_lmm_image: 0.5972 2024/11/04 05:15:46 - mmengine - INFO - Iter(train) [140800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:32:13 time: 0.9703 data_time: 0.0192 memory: 20749 grad_norm: 19.2798 loss: 7.2451 loss_cls: 0.2099 loss_bbox: 0.1032 loss_iou: 0.1893 d0.loss_cls: 0.2347 d0.loss_bbox: 0.1129 d0.loss_iou: 0.2044 d1.loss_cls: 0.2250 d1.loss_bbox: 0.1030 d1.loss_iou: 0.1889 d2.loss_cls: 0.2158 d2.loss_bbox: 0.1029 d2.loss_iou: 0.1883 d3.loss_cls: 0.2137 d3.loss_bbox: 0.1035 d3.loss_iou: 0.1898 d4.loss_cls: 0.2104 d4.loss_bbox: 0.1034 d4.loss_iou: 0.1905 enc_loss_cls: 0.2485 enc_loss_bbox: 0.1272 enc_loss_iou: 0.2181 dn_loss_cls: 0.0620 dn_loss_bbox: 0.1417 dn_loss_iou: 0.1814 d0.dn_loss_cls: 0.1504 d0.dn_loss_bbox: 0.3055 d0.dn_loss_iou: 0.3278 d1.dn_loss_cls: 0.0944 d1.dn_loss_bbox: 0.1797 d1.dn_loss_iou: 0.2134 d2.dn_loss_cls: 0.0782 d2.dn_loss_bbox: 0.1524 d2.dn_loss_iou: 0.1900 d3.dn_loss_cls: 0.0673 d3.dn_loss_bbox: 0.1433 d3.dn_loss_iou: 0.1829 d4.dn_loss_cls: 0.0630 d4.dn_loss_bbox: 0.1418 d4.dn_loss_iou: 0.1815 d1.loss_lmm_region: 0.0920 loss_lmm_image: 0.6133 2024/11/04 05:17:24 - mmengine - INFO - Iter(train) [140900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:30:34 time: 0.9730 data_time: 0.0191 memory: 20687 grad_norm: 22.1159 loss: 8.8102 loss_cls: 0.2737 loss_bbox: 0.1328 loss_iou: 0.2262 d0.loss_cls: 0.3082 d0.loss_bbox: 0.1438 d0.loss_iou: 0.2398 d1.loss_cls: 0.2834 d1.loss_bbox: 0.1380 d1.loss_iou: 0.2321 d2.loss_cls: 0.2811 d2.loss_bbox: 0.1362 d2.loss_iou: 0.2265 d3.loss_cls: 0.2752 d3.loss_bbox: 0.1335 d3.loss_iou: 0.2271 d4.loss_cls: 0.2738 d4.loss_bbox: 0.1339 d4.loss_iou: 0.2257 enc_loss_cls: 0.3188 enc_loss_bbox: 0.1586 enc_loss_iou: 0.2593 dn_loss_cls: 0.0870 dn_loss_bbox: 0.1787 dn_loss_iou: 0.2127 d0.dn_loss_cls: 0.1781 d0.dn_loss_bbox: 0.3508 d0.dn_loss_iou: 0.3702 d1.dn_loss_cls: 0.1181 d1.dn_loss_bbox: 0.2243 d1.dn_loss_iou: 0.2515 d2.dn_loss_cls: 0.1011 d2.dn_loss_bbox: 0.1890 d2.dn_loss_iou: 0.2226 d3.dn_loss_cls: 0.0896 d3.dn_loss_bbox: 0.1812 d3.dn_loss_iou: 0.2149 d4.dn_loss_cls: 0.0886 d4.dn_loss_bbox: 0.1787 d4.dn_loss_iou: 0.2127 d1.loss_lmm_region: 0.0934 loss_lmm_image: 0.6393 2024/11/04 05:19:02 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 05:19:02 - mmengine - INFO - Iter(train) [141000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:28:54 time: 0.9792 data_time: 0.0191 memory: 21192 grad_norm: 19.5268 loss: 8.5959 loss_cls: 0.2496 loss_bbox: 0.1281 loss_iou: 0.2405 d0.loss_cls: 0.2854 d0.loss_bbox: 0.1484 d0.loss_iou: 0.2589 d1.loss_cls: 0.2748 d1.loss_bbox: 0.1297 d1.loss_iou: 0.2431 d2.loss_cls: 0.2614 d2.loss_bbox: 0.1297 d2.loss_iou: 0.2415 d3.loss_cls: 0.2562 d3.loss_bbox: 0.1284 d3.loss_iou: 0.2406 d4.loss_cls: 0.2525 d4.loss_bbox: 0.1273 d4.loss_iou: 0.2386 enc_loss_cls: 0.3047 enc_loss_bbox: 0.1583 enc_loss_iou: 0.2792 dn_loss_cls: 0.0762 dn_loss_bbox: 0.1656 dn_loss_iou: 0.2125 d0.dn_loss_cls: 0.1630 d0.dn_loss_bbox: 0.3131 d0.dn_loss_iou: 0.3591 d1.dn_loss_cls: 0.1047 d1.dn_loss_bbox: 0.1990 d1.dn_loss_iou: 0.2466 d2.dn_loss_cls: 0.0887 d2.dn_loss_bbox: 0.1755 d2.dn_loss_iou: 0.2224 d3.dn_loss_cls: 0.0793 d3.dn_loss_bbox: 0.1670 d3.dn_loss_iou: 0.2144 d4.dn_loss_cls: 0.0767 d4.dn_loss_bbox: 0.1654 d4.dn_loss_iou: 0.2124 d1.loss_lmm_region: 0.0883 loss_lmm_image: 0.6889 2024/11/04 05:20:40 - mmengine - INFO - Iter(train) [141100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:27:15 time: 0.9778 data_time: 0.0191 memory: 20426 grad_norm: 19.5010 loss: 9.9418 loss_cls: 0.3138 loss_bbox: 0.1647 loss_iou: 0.2888 d0.loss_cls: 0.3596 d0.loss_bbox: 0.1735 d0.loss_iou: 0.3053 d1.loss_cls: 0.3305 d1.loss_bbox: 0.1719 d1.loss_iou: 0.2952 d2.loss_cls: 0.3242 d2.loss_bbox: 0.1626 d2.loss_iou: 0.2919 d3.loss_cls: 0.3173 d3.loss_bbox: 0.1634 d3.loss_iou: 0.2899 d4.loss_cls: 0.3157 d4.loss_bbox: 0.1624 d4.loss_iou: 0.2878 enc_loss_cls: 0.3821 enc_loss_bbox: 0.1865 enc_loss_iou: 0.3227 dn_loss_cls: 0.0720 dn_loss_bbox: 0.1865 dn_loss_iou: 0.2311 d0.dn_loss_cls: 0.1760 d0.dn_loss_bbox: 0.3543 d0.dn_loss_iou: 0.3865 d1.dn_loss_cls: 0.1116 d1.dn_loss_bbox: 0.2287 d1.dn_loss_iou: 0.2673 d2.dn_loss_cls: 0.0907 d2.dn_loss_bbox: 0.1988 d2.dn_loss_iou: 0.2409 d3.dn_loss_cls: 0.0791 d3.dn_loss_bbox: 0.1883 d3.dn_loss_iou: 0.2327 d4.dn_loss_cls: 0.0730 d4.dn_loss_bbox: 0.1866 d4.dn_loss_iou: 0.2312 d1.loss_lmm_region: 0.1109 loss_lmm_image: 0.6858 2024/11/04 05:22:19 - mmengine - INFO - Iter(train) [141200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:25:36 time: 0.9886 data_time: 0.0191 memory: 21210 grad_norm: 18.5516 loss: 10.1199 loss_cls: 0.3361 loss_bbox: 0.1633 loss_iou: 0.3314 d0.loss_cls: 0.3824 d0.loss_bbox: 0.1766 d0.loss_iou: 0.3522 d1.loss_cls: 0.3605 d1.loss_bbox: 0.1685 d1.loss_iou: 0.3365 d2.loss_cls: 0.3532 d2.loss_bbox: 0.1627 d2.loss_iou: 0.3301 d3.loss_cls: 0.3473 d3.loss_bbox: 0.1614 d3.loss_iou: 0.3291 d4.loss_cls: 0.3386 d4.loss_bbox: 0.1626 d4.loss_iou: 0.3305 enc_loss_cls: 0.4081 enc_loss_bbox: 0.1892 enc_loss_iou: 0.3652 dn_loss_cls: 0.0788 dn_loss_bbox: 0.1584 dn_loss_iou: 0.2311 d0.dn_loss_cls: 0.1638 d0.dn_loss_bbox: 0.3014 d0.dn_loss_iou: 0.3786 d1.dn_loss_cls: 0.1067 d1.dn_loss_bbox: 0.1883 d1.dn_loss_iou: 0.2620 d2.dn_loss_cls: 0.0915 d2.dn_loss_bbox: 0.1684 d2.dn_loss_iou: 0.2404 d3.dn_loss_cls: 0.0838 d3.dn_loss_bbox: 0.1598 d3.dn_loss_iou: 0.2325 d4.dn_loss_cls: 0.0796 d4.dn_loss_bbox: 0.1585 d4.dn_loss_iou: 0.2311 d1.loss_lmm_region: 0.0999 loss_lmm_image: 0.6201 2024/11/04 05:23:57 - mmengine - INFO - Iter(train) [141300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:23:56 time: 0.9813 data_time: 0.0192 memory: 20708 grad_norm: 17.7107 loss: 9.0050 loss_cls: 0.2551 loss_bbox: 0.1493 loss_iou: 0.2597 d0.loss_cls: 0.2720 d0.loss_bbox: 0.1645 d0.loss_iou: 0.2822 d1.loss_cls: 0.2705 d1.loss_bbox: 0.1491 d1.loss_iou: 0.2648 d2.loss_cls: 0.2634 d2.loss_bbox: 0.1469 d2.loss_iou: 0.2612 d3.loss_cls: 0.2629 d3.loss_bbox: 0.1465 d3.loss_iou: 0.2585 d4.loss_cls: 0.2576 d4.loss_bbox: 0.1485 d4.loss_iou: 0.2596 enc_loss_cls: 0.2994 enc_loss_bbox: 0.1696 enc_loss_iou: 0.2930 dn_loss_cls: 0.0670 dn_loss_bbox: 0.1832 dn_loss_iou: 0.2340 d0.dn_loss_cls: 0.1562 d0.dn_loss_bbox: 0.3389 d0.dn_loss_iou: 0.3838 d1.dn_loss_cls: 0.0977 d1.dn_loss_bbox: 0.2134 d1.dn_loss_iou: 0.2648 d2.dn_loss_cls: 0.0821 d2.dn_loss_bbox: 0.1922 d2.dn_loss_iou: 0.2428 d3.dn_loss_cls: 0.0719 d3.dn_loss_bbox: 0.1855 d3.dn_loss_iou: 0.2358 d4.dn_loss_cls: 0.0671 d4.dn_loss_bbox: 0.1831 d4.dn_loss_iou: 0.2340 d1.loss_lmm_region: 0.0917 loss_lmm_image: 0.6456 2024/11/04 05:25:35 - mmengine - INFO - Iter(train) [141400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:22:17 time: 0.9947 data_time: 0.0192 memory: 20818 grad_norm: 18.8900 loss: 8.2959 loss_cls: 0.2462 loss_bbox: 0.1372 loss_iou: 0.2242 d0.loss_cls: 0.2751 d0.loss_bbox: 0.1483 d0.loss_iou: 0.2412 d1.loss_cls: 0.2587 d1.loss_bbox: 0.1426 d1.loss_iou: 0.2305 d2.loss_cls: 0.2505 d2.loss_bbox: 0.1396 d2.loss_iou: 0.2268 d3.loss_cls: 0.2484 d3.loss_bbox: 0.1364 d3.loss_iou: 0.2257 d4.loss_cls: 0.2443 d4.loss_bbox: 0.1390 d4.loss_iou: 0.2244 enc_loss_cls: 0.2973 enc_loss_bbox: 0.1588 enc_loss_iou: 0.2569 dn_loss_cls: 0.0733 dn_loss_bbox: 0.1611 dn_loss_iou: 0.2049 d0.dn_loss_cls: 0.1489 d0.dn_loss_bbox: 0.2957 d0.dn_loss_iou: 0.3371 d1.dn_loss_cls: 0.0990 d1.dn_loss_bbox: 0.1921 d1.dn_loss_iou: 0.2328 d2.dn_loss_cls: 0.0868 d2.dn_loss_bbox: 0.1674 d2.dn_loss_iou: 0.2110 d3.dn_loss_cls: 0.0803 d3.dn_loss_bbox: 0.1619 d3.dn_loss_iou: 0.2061 d4.dn_loss_cls: 0.0744 d4.dn_loss_bbox: 0.1611 d4.dn_loss_iou: 0.2049 d1.loss_lmm_region: 0.1048 loss_lmm_image: 0.6401 2024/11/04 05:27:13 - mmengine - INFO - Iter(train) [141500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:20:38 time: 0.9755 data_time: 0.0190 memory: 20916 grad_norm: 21.3809 loss: 9.6732 loss_cls: 0.3181 loss_bbox: 0.1646 loss_iou: 0.3022 d0.loss_cls: 0.3446 d0.loss_bbox: 0.1773 d0.loss_iou: 0.3265 d1.loss_cls: 0.3299 d1.loss_bbox: 0.1690 d1.loss_iou: 0.3135 d2.loss_cls: 0.3302 d2.loss_bbox: 0.1626 d2.loss_iou: 0.3028 d3.loss_cls: 0.3209 d3.loss_bbox: 0.1669 d3.loss_iou: 0.3044 d4.loss_cls: 0.3222 d4.loss_bbox: 0.1638 d4.loss_iou: 0.3010 enc_loss_cls: 0.3626 enc_loss_bbox: 0.1890 enc_loss_iou: 0.3430 dn_loss_cls: 0.0816 dn_loss_bbox: 0.1564 dn_loss_iou: 0.2204 d0.dn_loss_cls: 0.1576 d0.dn_loss_bbox: 0.2885 d0.dn_loss_iou: 0.3536 d1.dn_loss_cls: 0.1050 d1.dn_loss_bbox: 0.1849 d1.dn_loss_iou: 0.2489 d2.dn_loss_cls: 0.0907 d2.dn_loss_bbox: 0.1638 d2.dn_loss_iou: 0.2281 d3.dn_loss_cls: 0.0845 d3.dn_loss_bbox: 0.1577 d3.dn_loss_iou: 0.2220 d4.dn_loss_cls: 0.0818 d4.dn_loss_bbox: 0.1564 d4.dn_loss_iou: 0.2205 d1.loss_lmm_region: 0.1031 loss_lmm_image: 0.6524 2024/11/04 05:28:52 - mmengine - INFO - Iter(train) [141600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:18:58 time: 0.9893 data_time: 0.0194 memory: 20806 grad_norm: 20.5412 loss: 9.2279 loss_cls: 0.2823 loss_bbox: 0.1465 loss_iou: 0.2835 d0.loss_cls: 0.3178 d0.loss_bbox: 0.1641 d0.loss_iou: 0.3041 d1.loss_cls: 0.3066 d1.loss_bbox: 0.1480 d1.loss_iou: 0.2877 d2.loss_cls: 0.2934 d2.loss_bbox: 0.1482 d2.loss_iou: 0.2854 d3.loss_cls: 0.2874 d3.loss_bbox: 0.1453 d3.loss_iou: 0.2832 d4.loss_cls: 0.2841 d4.loss_bbox: 0.1481 d4.loss_iou: 0.2846 enc_loss_cls: 0.3388 enc_loss_bbox: 0.1732 enc_loss_iou: 0.3198 dn_loss_cls: 0.0715 dn_loss_bbox: 0.1679 dn_loss_iou: 0.2240 d0.dn_loss_cls: 0.1525 d0.dn_loss_bbox: 0.3103 d0.dn_loss_iou: 0.3666 d1.dn_loss_cls: 0.1006 d1.dn_loss_bbox: 0.1951 d1.dn_loss_iou: 0.2523 d2.dn_loss_cls: 0.0854 d2.dn_loss_bbox: 0.1747 d2.dn_loss_iou: 0.2311 d3.dn_loss_cls: 0.0779 d3.dn_loss_bbox: 0.1684 d3.dn_loss_iou: 0.2253 d4.dn_loss_cls: 0.0726 d4.dn_loss_bbox: 0.1678 d4.dn_loss_iou: 0.2240 d1.loss_lmm_region: 0.0901 loss_lmm_image: 0.6379 2024/11/04 05:30:29 - mmengine - INFO - Iter(train) [141700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:17:19 time: 0.9710 data_time: 0.0192 memory: 20434 grad_norm: 18.8022 loss: 7.8293 loss_cls: 0.2251 loss_bbox: 0.1166 loss_iou: 0.2075 d0.loss_cls: 0.2543 d0.loss_bbox: 0.1280 d0.loss_iou: 0.2245 d1.loss_cls: 0.2400 d1.loss_bbox: 0.1207 d1.loss_iou: 0.2121 d2.loss_cls: 0.2338 d2.loss_bbox: 0.1181 d2.loss_iou: 0.2067 d3.loss_cls: 0.2297 d3.loss_bbox: 0.1161 d3.loss_iou: 0.2067 d4.loss_cls: 0.2272 d4.loss_bbox: 0.1161 d4.loss_iou: 0.2067 enc_loss_cls: 0.2752 enc_loss_bbox: 0.1411 enc_loss_iou: 0.2387 dn_loss_cls: 0.0701 dn_loss_bbox: 0.1594 dn_loss_iou: 0.1975 d0.dn_loss_cls: 0.1421 d0.dn_loss_bbox: 0.3028 d0.dn_loss_iou: 0.3312 d1.dn_loss_cls: 0.0908 d1.dn_loss_bbox: 0.1951 d1.dn_loss_iou: 0.2275 d2.dn_loss_cls: 0.0785 d2.dn_loss_bbox: 0.1699 d2.dn_loss_iou: 0.2061 d3.dn_loss_cls: 0.0720 d3.dn_loss_bbox: 0.1613 d3.dn_loss_iou: 0.1986 d4.dn_loss_cls: 0.0707 d4.dn_loss_bbox: 0.1595 d4.dn_loss_iou: 0.1976 d1.loss_lmm_region: 0.1028 loss_lmm_image: 0.6509 2024/11/04 05:32:07 - mmengine - INFO - Iter(train) [141800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:15:40 time: 0.9698 data_time: 0.0191 memory: 20622 grad_norm: 17.8560 loss: 7.9779 loss_cls: 0.2520 loss_bbox: 0.1183 loss_iou: 0.2085 d0.loss_cls: 0.2721 d0.loss_bbox: 0.1337 d0.loss_iou: 0.2284 d1.loss_cls: 0.2677 d1.loss_bbox: 0.1218 d1.loss_iou: 0.2150 d2.loss_cls: 0.2622 d2.loss_bbox: 0.1166 d2.loss_iou: 0.2108 d3.loss_cls: 0.2568 d3.loss_bbox: 0.1194 d3.loss_iou: 0.2097 d4.loss_cls: 0.2542 d4.loss_bbox: 0.1176 d4.loss_iou: 0.2085 enc_loss_cls: 0.2906 enc_loss_bbox: 0.1473 enc_loss_iou: 0.2458 dn_loss_cls: 0.0640 dn_loss_bbox: 0.1511 dn_loss_iou: 0.1947 d0.dn_loss_cls: 0.1455 d0.dn_loss_bbox: 0.2918 d0.dn_loss_iou: 0.3346 d1.dn_loss_cls: 0.0911 d1.dn_loss_bbox: 0.1794 d1.dn_loss_iou: 0.2228 d2.dn_loss_cls: 0.0758 d2.dn_loss_bbox: 0.1581 d2.dn_loss_iou: 0.2016 d3.dn_loss_cls: 0.0677 d3.dn_loss_bbox: 0.1523 d3.dn_loss_iou: 0.1960 d4.dn_loss_cls: 0.0643 d4.dn_loss_bbox: 0.1513 d4.dn_loss_iou: 0.1949 d1.loss_lmm_region: 0.1037 loss_lmm_image: 0.6801 2024/11/04 05:33:45 - mmengine - INFO - Iter(train) [141900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:14:00 time: 0.9838 data_time: 0.0191 memory: 20550 grad_norm: 21.7800 loss: 9.3767 loss_cls: 0.2939 loss_bbox: 0.1474 loss_iou: 0.2840 d0.loss_cls: 0.3255 d0.loss_bbox: 0.1656 d0.loss_iou: 0.3030 d1.loss_cls: 0.3085 d1.loss_bbox: 0.1560 d1.loss_iou: 0.2914 d2.loss_cls: 0.3059 d2.loss_bbox: 0.1435 d2.loss_iou: 0.2829 d3.loss_cls: 0.2967 d3.loss_bbox: 0.1473 d3.loss_iou: 0.2857 d4.loss_cls: 0.2951 d4.loss_bbox: 0.1470 d4.loss_iou: 0.2837 enc_loss_cls: 0.3513 enc_loss_bbox: 0.1719 enc_loss_iou: 0.3148 dn_loss_cls: 0.0754 dn_loss_bbox: 0.1702 dn_loss_iou: 0.2271 d0.dn_loss_cls: 0.1663 d0.dn_loss_bbox: 0.3241 d0.dn_loss_iou: 0.3837 d1.dn_loss_cls: 0.1040 d1.dn_loss_bbox: 0.2048 d1.dn_loss_iou: 0.2598 d2.dn_loss_cls: 0.0866 d2.dn_loss_bbox: 0.1803 d2.dn_loss_iou: 0.2364 d3.dn_loss_cls: 0.0780 d3.dn_loss_bbox: 0.1710 d3.dn_loss_iou: 0.2284 d4.dn_loss_cls: 0.0760 d4.dn_loss_bbox: 0.1700 d4.dn_loss_iou: 0.2269 d1.loss_lmm_region: 0.1010 loss_lmm_image: 0.6055 2024/11/04 05:35:22 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 05:35:22 - mmengine - INFO - Iter(train) [142000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:12:21 time: 0.9678 data_time: 0.0193 memory: 21268 grad_norm: 19.2034 loss: 9.3203 loss_cls: 0.2959 loss_bbox: 0.1528 loss_iou: 0.2929 d0.loss_cls: 0.3367 d0.loss_bbox: 0.1662 d0.loss_iou: 0.3107 d1.loss_cls: 0.3222 d1.loss_bbox: 0.1575 d1.loss_iou: 0.3005 d2.loss_cls: 0.3117 d2.loss_bbox: 0.1529 d2.loss_iou: 0.2932 d3.loss_cls: 0.3013 d3.loss_bbox: 0.1549 d3.loss_iou: 0.2952 d4.loss_cls: 0.2979 d4.loss_bbox: 0.1530 d4.loss_iou: 0.2935 enc_loss_cls: 0.3598 enc_loss_bbox: 0.1728 enc_loss_iou: 0.3230 dn_loss_cls: 0.0651 dn_loss_bbox: 0.1517 dn_loss_iou: 0.2160 d0.dn_loss_cls: 0.1480 d0.dn_loss_bbox: 0.3070 d0.dn_loss_iou: 0.3661 d1.dn_loss_cls: 0.0957 d1.dn_loss_bbox: 0.1893 d1.dn_loss_iou: 0.2499 d2.dn_loss_cls: 0.0801 d2.dn_loss_bbox: 0.1629 d2.dn_loss_iou: 0.2263 d3.dn_loss_cls: 0.0703 d3.dn_loss_bbox: 0.1538 d3.dn_loss_iou: 0.2175 d4.dn_loss_cls: 0.0661 d4.dn_loss_bbox: 0.1516 d4.dn_loss_iou: 0.2160 d1.loss_lmm_region: 0.0906 loss_lmm_image: 0.6516 2024/11/04 05:37:01 - mmengine - INFO - Iter(train) [142100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:10:42 time: 0.9877 data_time: 0.0191 memory: 21109 grad_norm: 19.7567 loss: 8.9525 loss_cls: 0.2743 loss_bbox: 0.1379 loss_iou: 0.2536 d0.loss_cls: 0.3146 d0.loss_bbox: 0.1501 d0.loss_iou: 0.2674 d1.loss_cls: 0.3006 d1.loss_bbox: 0.1401 d1.loss_iou: 0.2571 d2.loss_cls: 0.2923 d2.loss_bbox: 0.1402 d2.loss_iou: 0.2576 d3.loss_cls: 0.2845 d3.loss_bbox: 0.1372 d3.loss_iou: 0.2538 d4.loss_cls: 0.2752 d4.loss_bbox: 0.1382 d4.loss_iou: 0.2538 enc_loss_cls: 0.3360 enc_loss_bbox: 0.1637 enc_loss_iou: 0.2858 dn_loss_cls: 0.0750 dn_loss_bbox: 0.1623 dn_loss_iou: 0.2149 d0.dn_loss_cls: 0.1607 d0.dn_loss_bbox: 0.3163 d0.dn_loss_iou: 0.3658 d1.dn_loss_cls: 0.1075 d1.dn_loss_bbox: 0.1961 d1.dn_loss_iou: 0.2474 d2.dn_loss_cls: 0.0913 d2.dn_loss_bbox: 0.1718 d2.dn_loss_iou: 0.2239 d3.dn_loss_cls: 0.0800 d3.dn_loss_bbox: 0.1641 d3.dn_loss_iou: 0.2161 d4.dn_loss_cls: 0.0750 d4.dn_loss_bbox: 0.1623 d4.dn_loss_iou: 0.2150 d1.loss_lmm_region: 0.1132 loss_lmm_image: 0.6802 2024/11/04 05:38:38 - mmengine - INFO - Iter(train) [142200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:09:02 time: 0.9734 data_time: 0.0192 memory: 21122 grad_norm: 19.9059 loss: 9.3161 loss_cls: 0.2848 loss_bbox: 0.1466 loss_iou: 0.2813 d0.loss_cls: 0.3171 d0.loss_bbox: 0.1567 d0.loss_iou: 0.2982 d1.loss_cls: 0.3032 d1.loss_bbox: 0.1512 d1.loss_iou: 0.2905 d2.loss_cls: 0.2969 d2.loss_bbox: 0.1476 d2.loss_iou: 0.2843 d3.loss_cls: 0.2896 d3.loss_bbox: 0.1473 d3.loss_iou: 0.2808 d4.loss_cls: 0.2855 d4.loss_bbox: 0.1464 d4.loss_iou: 0.2813 enc_loss_cls: 0.3390 enc_loss_bbox: 0.1701 enc_loss_iou: 0.3178 dn_loss_cls: 0.0666 dn_loss_bbox: 0.1771 dn_loss_iou: 0.2333 d0.dn_loss_cls: 0.1518 d0.dn_loss_bbox: 0.3097 d0.dn_loss_iou: 0.3734 d1.dn_loss_cls: 0.0959 d1.dn_loss_bbox: 0.2035 d1.dn_loss_iou: 0.2617 d2.dn_loss_cls: 0.0805 d2.dn_loss_bbox: 0.1838 d2.dn_loss_iou: 0.2400 d3.dn_loss_cls: 0.0711 d3.dn_loss_bbox: 0.1779 d3.dn_loss_iou: 0.2344 d4.dn_loss_cls: 0.0673 d4.dn_loss_bbox: 0.1771 d4.dn_loss_iou: 0.2333 d1.loss_lmm_region: 0.0974 loss_lmm_image: 0.6641 2024/11/04 05:40:16 - mmengine - INFO - Iter(train) [142300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:07:23 time: 0.9784 data_time: 0.0192 memory: 21581 grad_norm: 17.8977 loss: 9.0696 loss_cls: 0.2702 loss_bbox: 0.1540 loss_iou: 0.2500 d0.loss_cls: 0.3052 d0.loss_bbox: 0.1635 d0.loss_iou: 0.2652 d1.loss_cls: 0.2873 d1.loss_bbox: 0.1563 d1.loss_iou: 0.2524 d2.loss_cls: 0.2822 d2.loss_bbox: 0.1525 d2.loss_iou: 0.2503 d3.loss_cls: 0.2748 d3.loss_bbox: 0.1550 d3.loss_iou: 0.2500 d4.loss_cls: 0.2731 d4.loss_bbox: 0.1537 d4.loss_iou: 0.2485 enc_loss_cls: 0.3238 enc_loss_bbox: 0.1752 enc_loss_iou: 0.2809 dn_loss_cls: 0.0906 dn_loss_bbox: 0.1716 dn_loss_iou: 0.2148 d0.dn_loss_cls: 0.1836 d0.dn_loss_bbox: 0.3210 d0.dn_loss_iou: 0.3539 d1.dn_loss_cls: 0.1269 d1.dn_loss_bbox: 0.2068 d1.dn_loss_iou: 0.2454 d2.dn_loss_cls: 0.1082 d2.dn_loss_bbox: 0.1847 d2.dn_loss_iou: 0.2233 d3.dn_loss_cls: 0.0974 d3.dn_loss_bbox: 0.1735 d3.dn_loss_iou: 0.2164 d4.dn_loss_cls: 0.0917 d4.dn_loss_bbox: 0.1715 d4.dn_loss_iou: 0.2147 d1.loss_lmm_region: 0.1110 loss_lmm_image: 0.6385 2024/11/04 05:41:55 - mmengine - INFO - Iter(train) [142400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:05:44 time: 0.9848 data_time: 0.0190 memory: 20906 grad_norm: 17.9569 loss: 8.5281 loss_cls: 0.2707 loss_bbox: 0.1458 loss_iou: 0.2343 d0.loss_cls: 0.3015 d0.loss_bbox: 0.1614 d0.loss_iou: 0.2502 d1.loss_cls: 0.2883 d1.loss_bbox: 0.1504 d1.loss_iou: 0.2410 d2.loss_cls: 0.2816 d2.loss_bbox: 0.1430 d2.loss_iou: 0.2342 d3.loss_cls: 0.2784 d3.loss_bbox: 0.1429 d3.loss_iou: 0.2344 d4.loss_cls: 0.2699 d4.loss_bbox: 0.1476 d4.loss_iou: 0.2362 enc_loss_cls: 0.3225 enc_loss_bbox: 0.1693 enc_loss_iou: 0.2685 dn_loss_cls: 0.0804 dn_loss_bbox: 0.1523 dn_loss_iou: 0.1995 d0.dn_loss_cls: 0.1728 d0.dn_loss_bbox: 0.2792 d0.dn_loss_iou: 0.3378 d1.dn_loss_cls: 0.1169 d1.dn_loss_bbox: 0.1787 d1.dn_loss_iou: 0.2285 d2.dn_loss_cls: 0.0979 d2.dn_loss_bbox: 0.1608 d2.dn_loss_iou: 0.2079 d3.dn_loss_cls: 0.0866 d3.dn_loss_bbox: 0.1534 d3.dn_loss_iou: 0.2009 d4.dn_loss_cls: 0.0816 d4.dn_loss_bbox: 0.1523 d4.dn_loss_iou: 0.1994 d1.loss_lmm_region: 0.0956 loss_lmm_image: 0.5732 2024/11/04 05:43:33 - mmengine - INFO - Iter(train) [142500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:04:04 time: 0.9863 data_time: 0.0195 memory: 21072 grad_norm: 20.2931 loss: 8.9836 loss_cls: 0.2911 loss_bbox: 0.1422 loss_iou: 0.2771 d0.loss_cls: 0.3321 d0.loss_bbox: 0.1549 d0.loss_iou: 0.2914 d1.loss_cls: 0.3177 d1.loss_bbox: 0.1405 d1.loss_iou: 0.2751 d2.loss_cls: 0.3069 d2.loss_bbox: 0.1387 d2.loss_iou: 0.2740 d3.loss_cls: 0.2981 d3.loss_bbox: 0.1416 d3.loss_iou: 0.2755 d4.loss_cls: 0.2927 d4.loss_bbox: 0.1418 d4.loss_iou: 0.2765 enc_loss_cls: 0.3530 enc_loss_bbox: 0.1657 enc_loss_iou: 0.3058 dn_loss_cls: 0.0631 dn_loss_bbox: 0.1507 dn_loss_iou: 0.2129 d0.dn_loss_cls: 0.1565 d0.dn_loss_bbox: 0.2855 d0.dn_loss_iou: 0.3542 d1.dn_loss_cls: 0.1012 d1.dn_loss_bbox: 0.1801 d1.dn_loss_iou: 0.2444 d2.dn_loss_cls: 0.0836 d2.dn_loss_bbox: 0.1580 d2.dn_loss_iou: 0.2206 d3.dn_loss_cls: 0.0688 d3.dn_loss_bbox: 0.1522 d3.dn_loss_iou: 0.2144 d4.dn_loss_cls: 0.0635 d4.dn_loss_bbox: 0.1507 d4.dn_loss_iou: 0.2130 d1.loss_lmm_region: 0.1009 loss_lmm_image: 0.6169 2024/11/04 05:45:11 - mmengine - INFO - Iter(train) [142600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:02:25 time: 0.9793 data_time: 0.0192 memory: 20601 grad_norm: 18.9472 loss: 9.3482 loss_cls: 0.3023 loss_bbox: 0.1533 loss_iou: 0.3027 d0.loss_cls: 0.3393 d0.loss_bbox: 0.1715 d0.loss_iou: 0.3301 d1.loss_cls: 0.3145 d1.loss_bbox: 0.1656 d1.loss_iou: 0.3177 d2.loss_cls: 0.3081 d2.loss_bbox: 0.1563 d2.loss_iou: 0.3080 d3.loss_cls: 0.3042 d3.loss_bbox: 0.1577 d3.loss_iou: 0.3044 d4.loss_cls: 0.3023 d4.loss_bbox: 0.1539 d4.loss_iou: 0.3044 enc_loss_cls: 0.3625 enc_loss_bbox: 0.1825 enc_loss_iou: 0.3460 dn_loss_cls: 0.0631 dn_loss_bbox: 0.1494 dn_loss_iou: 0.2086 d0.dn_loss_cls: 0.1519 d0.dn_loss_bbox: 0.2991 d0.dn_loss_iou: 0.3488 d1.dn_loss_cls: 0.0917 d1.dn_loss_bbox: 0.1811 d1.dn_loss_iou: 0.2399 d2.dn_loss_cls: 0.0757 d2.dn_loss_bbox: 0.1564 d2.dn_loss_iou: 0.2168 d3.dn_loss_cls: 0.0671 d3.dn_loss_bbox: 0.1495 d3.dn_loss_iou: 0.2095 d4.dn_loss_cls: 0.0643 d4.dn_loss_bbox: 0.1494 d4.dn_loss_iou: 0.2086 d1.loss_lmm_region: 0.1089 loss_lmm_image: 0.6212 2024/11/04 05:46:49 - mmengine - INFO - Iter(train) [142700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:00:46 time: 0.9839 data_time: 0.0190 memory: 20646 grad_norm: 19.5152 loss: 9.2631 loss_cls: 0.2964 loss_bbox: 0.1494 loss_iou: 0.2855 d0.loss_cls: 0.3368 d0.loss_bbox: 0.1701 d0.loss_iou: 0.3081 d1.loss_cls: 0.3175 d1.loss_bbox: 0.1570 d1.loss_iou: 0.2921 d2.loss_cls: 0.3096 d2.loss_bbox: 0.1490 d2.loss_iou: 0.2850 d3.loss_cls: 0.3033 d3.loss_bbox: 0.1502 d3.loss_iou: 0.2841 d4.loss_cls: 0.2974 d4.loss_bbox: 0.1499 d4.loss_iou: 0.2852 enc_loss_cls: 0.3552 enc_loss_bbox: 0.1838 enc_loss_iou: 0.3299 dn_loss_cls: 0.0684 dn_loss_bbox: 0.1572 dn_loss_iou: 0.2110 d0.dn_loss_cls: 0.1517 d0.dn_loss_bbox: 0.3043 d0.dn_loss_iou: 0.3489 d1.dn_loss_cls: 0.0948 d1.dn_loss_bbox: 0.1940 d1.dn_loss_iou: 0.2409 d2.dn_loss_cls: 0.0791 d2.dn_loss_bbox: 0.1703 d2.dn_loss_iou: 0.2198 d3.dn_loss_cls: 0.0724 d3.dn_loss_bbox: 0.1580 d3.dn_loss_iou: 0.2117 d4.dn_loss_cls: 0.0687 d4.dn_loss_bbox: 0.1570 d4.dn_loss_iou: 0.2109 d1.loss_lmm_region: 0.0975 loss_lmm_image: 0.6509 2024/11/04 05:48:27 - mmengine - INFO - Iter(train) [142800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:59:06 time: 0.9774 data_time: 0.0190 memory: 20222 grad_norm: 20.8580 loss: 8.8639 loss_cls: 0.2697 loss_bbox: 0.1389 loss_iou: 0.2505 d0.loss_cls: 0.3123 d0.loss_bbox: 0.1456 d0.loss_iou: 0.2628 d1.loss_cls: 0.2921 d1.loss_bbox: 0.1432 d1.loss_iou: 0.2549 d2.loss_cls: 0.2814 d2.loss_bbox: 0.1389 d2.loss_iou: 0.2514 d3.loss_cls: 0.2777 d3.loss_bbox: 0.1385 d3.loss_iou: 0.2504 d4.loss_cls: 0.2699 d4.loss_bbox: 0.1394 d4.loss_iou: 0.2508 enc_loss_cls: 0.3245 enc_loss_bbox: 0.1625 enc_loss_iou: 0.2826 dn_loss_cls: 0.0672 dn_loss_bbox: 0.1675 dn_loss_iou: 0.2317 d0.dn_loss_cls: 0.1595 d0.dn_loss_bbox: 0.3190 d0.dn_loss_iou: 0.3785 d1.dn_loss_cls: 0.1010 d1.dn_loss_bbox: 0.2006 d1.dn_loss_iou: 0.2647 d2.dn_loss_cls: 0.0824 d2.dn_loss_bbox: 0.1758 d2.dn_loss_iou: 0.2390 d3.dn_loss_cls: 0.0728 d3.dn_loss_bbox: 0.1685 d3.dn_loss_iou: 0.2329 d4.dn_loss_cls: 0.0684 d4.dn_loss_bbox: 0.1675 d4.dn_loss_iou: 0.2317 d1.loss_lmm_region: 0.1252 loss_lmm_image: 0.5722 2024/11/04 05:50:05 - mmengine - INFO - Iter(train) [142900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:57:27 time: 0.9840 data_time: 0.0193 memory: 20758 grad_norm: 19.4946 loss: 8.2176 loss_cls: 0.2315 loss_bbox: 0.1309 loss_iou: 0.2305 d0.loss_cls: 0.2584 d0.loss_bbox: 0.1389 d0.loss_iou: 0.2401 d1.loss_cls: 0.2440 d1.loss_bbox: 0.1302 d1.loss_iou: 0.2295 d2.loss_cls: 0.2363 d2.loss_bbox: 0.1307 d2.loss_iou: 0.2302 d3.loss_cls: 0.2320 d3.loss_bbox: 0.1305 d3.loss_iou: 0.2286 d4.loss_cls: 0.2339 d4.loss_bbox: 0.1296 d4.loss_iou: 0.2286 enc_loss_cls: 0.2744 enc_loss_bbox: 0.1499 enc_loss_iou: 0.2527 dn_loss_cls: 0.0748 dn_loss_bbox: 0.1690 dn_loss_iou: 0.2042 d0.dn_loss_cls: 0.1535 d0.dn_loss_bbox: 0.3142 d0.dn_loss_iou: 0.3427 d1.dn_loss_cls: 0.1055 d1.dn_loss_bbox: 0.1989 d1.dn_loss_iou: 0.2327 d2.dn_loss_cls: 0.0901 d2.dn_loss_bbox: 0.1776 d2.dn_loss_iou: 0.2115 d3.dn_loss_cls: 0.0800 d3.dn_loss_bbox: 0.1712 d3.dn_loss_iou: 0.2055 d4.dn_loss_cls: 0.0753 d4.dn_loss_bbox: 0.1690 d4.dn_loss_iou: 0.2043 d1.loss_lmm_region: 0.0995 loss_lmm_image: 0.6468 2024/11/04 05:51:43 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 05:51:43 - mmengine - INFO - Iter(train) [143000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:55:48 time: 0.9818 data_time: 0.0191 memory: 20280 grad_norm: 19.2510 loss: 9.1664 loss_cls: 0.2932 loss_bbox: 0.1565 loss_iou: 0.2578 d0.loss_cls: 0.3325 d0.loss_bbox: 0.1676 d0.loss_iou: 0.2740 d1.loss_cls: 0.3157 d1.loss_bbox: 0.1564 d1.loss_iou: 0.2620 d2.loss_cls: 0.3063 d2.loss_bbox: 0.1560 d2.loss_iou: 0.2585 d3.loss_cls: 0.3021 d3.loss_bbox: 0.1549 d3.loss_iou: 0.2553 d4.loss_cls: 0.2974 d4.loss_bbox: 0.1553 d4.loss_iou: 0.2568 enc_loss_cls: 0.3517 enc_loss_bbox: 0.1786 enc_loss_iou: 0.2900 dn_loss_cls: 0.0818 dn_loss_bbox: 0.1705 dn_loss_iou: 0.2137 d0.dn_loss_cls: 0.1659 d0.dn_loss_bbox: 0.3009 d0.dn_loss_iou: 0.3456 d1.dn_loss_cls: 0.1134 d1.dn_loss_bbox: 0.2010 d1.dn_loss_iou: 0.2441 d2.dn_loss_cls: 0.0960 d2.dn_loss_bbox: 0.1768 d2.dn_loss_iou: 0.2218 d3.dn_loss_cls: 0.0879 d3.dn_loss_bbox: 0.1704 d3.dn_loss_iou: 0.2142 d4.dn_loss_cls: 0.0827 d4.dn_loss_bbox: 0.1706 d4.dn_loss_iou: 0.2136 d1.loss_lmm_region: 0.0895 loss_lmm_image: 0.6275 2024/11/04 05:53:22 - mmengine - INFO - Iter(train) [143100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:54:08 time: 0.9745 data_time: 0.0191 memory: 21343 grad_norm: 22.2697 loss: 8.8911 loss_cls: 0.3100 loss_bbox: 0.1377 loss_iou: 0.2618 d0.loss_cls: 0.3438 d0.loss_bbox: 0.1492 d0.loss_iou: 0.2809 d1.loss_cls: 0.3327 d1.loss_bbox: 0.1375 d1.loss_iou: 0.2657 d2.loss_cls: 0.3224 d2.loss_bbox: 0.1328 d2.loss_iou: 0.2615 d3.loss_cls: 0.3201 d3.loss_bbox: 0.1346 d3.loss_iou: 0.2609 d4.loss_cls: 0.3088 d4.loss_bbox: 0.1383 d4.loss_iou: 0.2621 enc_loss_cls: 0.3638 enc_loss_bbox: 0.1595 enc_loss_iou: 0.2940 dn_loss_cls: 0.0681 dn_loss_bbox: 0.1403 dn_loss_iou: 0.2077 d0.dn_loss_cls: 0.1531 d0.dn_loss_bbox: 0.2670 d0.dn_loss_iou: 0.3385 d1.dn_loss_cls: 0.0993 d1.dn_loss_bbox: 0.1631 d1.dn_loss_iou: 0.2334 d2.dn_loss_cls: 0.0836 d2.dn_loss_bbox: 0.1445 d2.dn_loss_iou: 0.2149 d3.dn_loss_cls: 0.0724 d3.dn_loss_bbox: 0.1403 d3.dn_loss_iou: 0.2090 d4.dn_loss_cls: 0.0680 d4.dn_loss_bbox: 0.1403 d4.dn_loss_iou: 0.2077 d1.loss_lmm_region: 0.0909 loss_lmm_image: 0.6710 2024/11/04 05:55:00 - mmengine - INFO - Iter(train) [143200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:52:29 time: 0.9673 data_time: 0.0190 memory: 21369 grad_norm: 17.6991 loss: 9.0107 loss_cls: 0.2840 loss_bbox: 0.1284 loss_iou: 0.2611 d0.loss_cls: 0.3091 d0.loss_bbox: 0.1416 d0.loss_iou: 0.2834 d1.loss_cls: 0.2958 d1.loss_bbox: 0.1365 d1.loss_iou: 0.2746 d2.loss_cls: 0.2887 d2.loss_bbox: 0.1311 d2.loss_iou: 0.2656 d3.loss_cls: 0.2869 d3.loss_bbox: 0.1262 d3.loss_iou: 0.2625 d4.loss_cls: 0.2814 d4.loss_bbox: 0.1284 d4.loss_iou: 0.2610 enc_loss_cls: 0.3364 enc_loss_bbox: 0.1504 enc_loss_iou: 0.2936 dn_loss_cls: 0.1157 dn_loss_bbox: 0.1410 dn_loss_iou: 0.2155 d0.dn_loss_cls: 0.1875 d0.dn_loss_bbox: 0.2828 d0.dn_loss_iou: 0.3588 d1.dn_loss_cls: 0.1463 d1.dn_loss_bbox: 0.1770 d1.dn_loss_iou: 0.2470 d2.dn_loss_cls: 0.1268 d2.dn_loss_bbox: 0.1503 d2.dn_loss_iou: 0.2244 d3.dn_loss_cls: 0.1213 d3.dn_loss_bbox: 0.1427 d3.dn_loss_iou: 0.2164 d4.dn_loss_cls: 0.1149 d4.dn_loss_bbox: 0.1409 d4.dn_loss_iou: 0.2153 d1.loss_lmm_region: 0.0933 loss_lmm_image: 0.6664 2024/11/04 05:56:38 - mmengine - INFO - Iter(train) [143300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:50:50 time: 0.9767 data_time: 0.0191 memory: 21389 grad_norm: 19.4919 loss: 9.1596 loss_cls: 0.2835 loss_bbox: 0.1437 loss_iou: 0.2609 d0.loss_cls: 0.3080 d0.loss_bbox: 0.1578 d0.loss_iou: 0.2785 d1.loss_cls: 0.2951 d1.loss_bbox: 0.1478 d1.loss_iou: 0.2678 d2.loss_cls: 0.2942 d2.loss_bbox: 0.1429 d2.loss_iou: 0.2585 d3.loss_cls: 0.2885 d3.loss_bbox: 0.1453 d3.loss_iou: 0.2601 d4.loss_cls: 0.2868 d4.loss_bbox: 0.1435 d4.loss_iou: 0.2609 enc_loss_cls: 0.3317 enc_loss_bbox: 0.1693 enc_loss_iou: 0.2961 dn_loss_cls: 0.0952 dn_loss_bbox: 0.1800 dn_loss_iou: 0.2161 d0.dn_loss_cls: 0.1662 d0.dn_loss_bbox: 0.3382 d0.dn_loss_iou: 0.3611 d1.dn_loss_cls: 0.1170 d1.dn_loss_bbox: 0.2169 d1.dn_loss_iou: 0.2479 d2.dn_loss_cls: 0.1046 d2.dn_loss_bbox: 0.1921 d2.dn_loss_iou: 0.2254 d3.dn_loss_cls: 0.0974 d3.dn_loss_bbox: 0.1818 d3.dn_loss_iou: 0.2175 d4.dn_loss_cls: 0.0945 d4.dn_loss_bbox: 0.1799 d4.dn_loss_iou: 0.2160 d1.loss_lmm_region: 0.0986 loss_lmm_image: 0.5923 2024/11/04 05:58:16 - mmengine - INFO - Iter(train) [143400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:49:10 time: 0.9904 data_time: 0.0193 memory: 20855 grad_norm: 24.1122 loss: 9.0496 loss_cls: 0.2668 loss_bbox: 0.1540 loss_iou: 0.2587 d0.loss_cls: 0.2971 d0.loss_bbox: 0.1674 d0.loss_iou: 0.2683 d1.loss_cls: 0.2808 d1.loss_bbox: 0.1592 d1.loss_iou: 0.2631 d2.loss_cls: 0.2763 d2.loss_bbox: 0.1553 d2.loss_iou: 0.2614 d3.loss_cls: 0.2735 d3.loss_bbox: 0.1537 d3.loss_iou: 0.2589 d4.loss_cls: 0.2685 d4.loss_bbox: 0.1539 d4.loss_iou: 0.2589 enc_loss_cls: 0.3111 enc_loss_bbox: 0.1772 enc_loss_iou: 0.2877 dn_loss_cls: 0.0689 dn_loss_bbox: 0.1921 dn_loss_iou: 0.2265 d0.dn_loss_cls: 0.1482 d0.dn_loss_bbox: 0.3501 d0.dn_loss_iou: 0.3707 d1.dn_loss_cls: 0.0956 d1.dn_loss_bbox: 0.2212 d1.dn_loss_iou: 0.2582 d2.dn_loss_cls: 0.0798 d2.dn_loss_bbox: 0.1989 d2.dn_loss_iou: 0.2354 d3.dn_loss_cls: 0.0733 d3.dn_loss_bbox: 0.1930 d3.dn_loss_iou: 0.2278 d4.dn_loss_cls: 0.0700 d4.dn_loss_bbox: 0.1922 d4.dn_loss_iou: 0.2264 d1.loss_lmm_region: 0.0954 loss_lmm_image: 0.5743 2024/11/04 05:59:54 - mmengine - INFO - Iter(train) [143500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:47:31 time: 0.9913 data_time: 0.0191 memory: 21327 grad_norm: 22.3600 loss: 7.9836 loss_cls: 0.2337 loss_bbox: 0.1162 loss_iou: 0.2179 d0.loss_cls: 0.2638 d0.loss_bbox: 0.1291 d0.loss_iou: 0.2336 d1.loss_cls: 0.2485 d1.loss_bbox: 0.1217 d1.loss_iou: 0.2251 d2.loss_cls: 0.2380 d2.loss_bbox: 0.1198 d2.loss_iou: 0.2199 d3.loss_cls: 0.2360 d3.loss_bbox: 0.1151 d3.loss_iou: 0.2176 d4.loss_cls: 0.2338 d4.loss_bbox: 0.1164 d4.loss_iou: 0.2179 enc_loss_cls: 0.2845 enc_loss_bbox: 0.1400 enc_loss_iou: 0.2502 dn_loss_cls: 0.0838 dn_loss_bbox: 0.1476 dn_loss_iou: 0.1945 d0.dn_loss_cls: 0.1612 d0.dn_loss_bbox: 0.3004 d0.dn_loss_iou: 0.3341 d1.dn_loss_cls: 0.1113 d1.dn_loss_bbox: 0.1809 d1.dn_loss_iou: 0.2232 d2.dn_loss_cls: 0.0932 d2.dn_loss_bbox: 0.1611 d2.dn_loss_iou: 0.2037 d3.dn_loss_cls: 0.0875 d3.dn_loss_bbox: 0.1499 d3.dn_loss_iou: 0.1960 d4.dn_loss_cls: 0.0836 d4.dn_loss_bbox: 0.1475 d4.dn_loss_iou: 0.1946 d1.loss_lmm_region: 0.0916 loss_lmm_image: 0.6592 2024/11/04 06:01:32 - mmengine - INFO - Iter(train) [143600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:45:52 time: 0.9813 data_time: 0.0191 memory: 20544 grad_norm: 20.7230 loss: 8.5694 loss_cls: 0.2929 loss_bbox: 0.1261 loss_iou: 0.2834 d0.loss_cls: 0.3214 d0.loss_bbox: 0.1432 d0.loss_iou: 0.2962 d1.loss_cls: 0.3103 d1.loss_bbox: 0.1289 d1.loss_iou: 0.2849 d2.loss_cls: 0.3005 d2.loss_bbox: 0.1300 d2.loss_iou: 0.2829 d3.loss_cls: 0.2925 d3.loss_bbox: 0.1297 d3.loss_iou: 0.2856 d4.loss_cls: 0.2952 d4.loss_bbox: 0.1253 d4.loss_iou: 0.2830 enc_loss_cls: 0.3366 enc_loss_bbox: 0.1524 enc_loss_iou: 0.3125 dn_loss_cls: 0.0757 dn_loss_bbox: 0.1208 dn_loss_iou: 0.1937 d0.dn_loss_cls: 0.1497 d0.dn_loss_bbox: 0.2318 d0.dn_loss_iou: 0.3181 d1.dn_loss_cls: 0.1017 d1.dn_loss_bbox: 0.1392 d1.dn_loss_iou: 0.2185 d2.dn_loss_cls: 0.0887 d2.dn_loss_bbox: 0.1246 d2.dn_loss_iou: 0.1994 d3.dn_loss_cls: 0.0796 d3.dn_loss_bbox: 0.1216 d3.dn_loss_iou: 0.1949 d4.dn_loss_cls: 0.0772 d4.dn_loss_bbox: 0.1208 d4.dn_loss_iou: 0.1937 d1.loss_lmm_region: 0.0889 loss_lmm_image: 0.6170 2024/11/04 06:03:09 - mmengine - INFO - Iter(train) [143700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:44:12 time: 0.9648 data_time: 0.0192 memory: 20483 grad_norm: 19.6518 loss: 8.2043 loss_cls: 0.2639 loss_bbox: 0.1190 loss_iou: 0.2092 d0.loss_cls: 0.3020 d0.loss_bbox: 0.1385 d0.loss_iou: 0.2345 d1.loss_cls: 0.2881 d1.loss_bbox: 0.1288 d1.loss_iou: 0.2176 d2.loss_cls: 0.2777 d2.loss_bbox: 0.1195 d2.loss_iou: 0.2111 d3.loss_cls: 0.2724 d3.loss_bbox: 0.1190 d3.loss_iou: 0.2101 d4.loss_cls: 0.2647 d4.loss_bbox: 0.1189 d4.loss_iou: 0.2097 enc_loss_cls: 0.3207 enc_loss_bbox: 0.1544 enc_loss_iou: 0.2545 dn_loss_cls: 0.0745 dn_loss_bbox: 0.1591 dn_loss_iou: 0.1878 d0.dn_loss_cls: 0.1525 d0.dn_loss_bbox: 0.3024 d0.dn_loss_iou: 0.3261 d1.dn_loss_cls: 0.1012 d1.dn_loss_bbox: 0.1903 d1.dn_loss_iou: 0.2199 d2.dn_loss_cls: 0.0893 d2.dn_loss_bbox: 0.1644 d2.dn_loss_iou: 0.1960 d3.dn_loss_cls: 0.0815 d3.dn_loss_bbox: 0.1609 d3.dn_loss_iou: 0.1895 d4.dn_loss_cls: 0.0762 d4.dn_loss_bbox: 0.1592 d4.dn_loss_iou: 0.1879 d1.loss_lmm_region: 0.0948 loss_lmm_image: 0.6569 2024/11/04 06:04:48 - mmengine - INFO - Iter(train) [143800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:42:33 time: 0.9794 data_time: 0.0193 memory: 19973 grad_norm: 21.2038 loss: 8.5393 loss_cls: 0.2436 loss_bbox: 0.1454 loss_iou: 0.2397 d0.loss_cls: 0.2713 d0.loss_bbox: 0.1667 d0.loss_iou: 0.2593 d1.loss_cls: 0.2556 d1.loss_bbox: 0.1550 d1.loss_iou: 0.2510 d2.loss_cls: 0.2530 d2.loss_bbox: 0.1469 d2.loss_iou: 0.2444 d3.loss_cls: 0.2499 d3.loss_bbox: 0.1436 d3.loss_iou: 0.2399 d4.loss_cls: 0.2445 d4.loss_bbox: 0.1458 d4.loss_iou: 0.2395 enc_loss_cls: 0.2871 enc_loss_bbox: 0.1716 enc_loss_iou: 0.2715 dn_loss_cls: 0.0821 dn_loss_bbox: 0.1734 dn_loss_iou: 0.2033 d0.dn_loss_cls: 0.1551 d0.dn_loss_bbox: 0.3093 d0.dn_loss_iou: 0.3361 d1.dn_loss_cls: 0.1032 d1.dn_loss_bbox: 0.2021 d1.dn_loss_iou: 0.2318 d2.dn_loss_cls: 0.0905 d2.dn_loss_bbox: 0.1803 d2.dn_loss_iou: 0.2105 d3.dn_loss_cls: 0.0869 d3.dn_loss_bbox: 0.1740 d3.dn_loss_iou: 0.2040 d4.dn_loss_cls: 0.0829 d4.dn_loss_bbox: 0.1733 d4.dn_loss_iou: 0.2033 d1.loss_lmm_region: 0.0884 loss_lmm_image: 0.6234 2024/11/04 06:06:27 - mmengine - INFO - Iter(train) [143900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:40:54 time: 0.9945 data_time: 0.0192 memory: 21594 grad_norm: 18.3598 loss: 8.7307 loss_cls: 0.2986 loss_bbox: 0.1383 loss_iou: 0.2609 d0.loss_cls: 0.3349 d0.loss_bbox: 0.1520 d0.loss_iou: 0.2778 d1.loss_cls: 0.3173 d1.loss_bbox: 0.1442 d1.loss_iou: 0.2670 d2.loss_cls: 0.3109 d2.loss_bbox: 0.1388 d2.loss_iou: 0.2628 d3.loss_cls: 0.3029 d3.loss_bbox: 0.1390 d3.loss_iou: 0.2613 d4.loss_cls: 0.3004 d4.loss_bbox: 0.1389 d4.loss_iou: 0.2605 enc_loss_cls: 0.3499 enc_loss_bbox: 0.1611 enc_loss_iou: 0.2941 dn_loss_cls: 0.0733 dn_loss_bbox: 0.1380 dn_loss_iou: 0.1964 d0.dn_loss_cls: 0.1523 d0.dn_loss_bbox: 0.2525 d0.dn_loss_iou: 0.3215 d1.dn_loss_cls: 0.1031 d1.dn_loss_bbox: 0.1644 d1.dn_loss_iou: 0.2214 d2.dn_loss_cls: 0.0893 d2.dn_loss_bbox: 0.1456 d2.dn_loss_iou: 0.2034 d3.dn_loss_cls: 0.0786 d3.dn_loss_bbox: 0.1394 d3.dn_loss_iou: 0.1977 d4.dn_loss_cls: 0.0730 d4.dn_loss_bbox: 0.1380 d4.dn_loss_iou: 0.1964 d1.loss_lmm_region: 0.0992 loss_lmm_image: 0.6356 2024/11/04 06:08:05 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 06:08:05 - mmengine - INFO - Iter(train) [144000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:39:15 time: 0.9785 data_time: 0.0191 memory: 20781 grad_norm: 20.0484 loss: 9.3884 loss_cls: 0.2866 loss_bbox: 0.1594 loss_iou: 0.2918 d0.loss_cls: 0.3206 d0.loss_bbox: 0.1739 d0.loss_iou: 0.3071 d1.loss_cls: 0.3024 d1.loss_bbox: 0.1612 d1.loss_iou: 0.2959 d2.loss_cls: 0.2965 d2.loss_bbox: 0.1551 d2.loss_iou: 0.2903 d3.loss_cls: 0.2890 d3.loss_bbox: 0.1620 d3.loss_iou: 0.2922 d4.loss_cls: 0.2872 d4.loss_bbox: 0.1582 d4.loss_iou: 0.2913 enc_loss_cls: 0.3406 enc_loss_bbox: 0.1823 enc_loss_iou: 0.3184 dn_loss_cls: 0.0761 dn_loss_bbox: 0.1736 dn_loss_iou: 0.2198 d0.dn_loss_cls: 0.1551 d0.dn_loss_bbox: 0.3103 d0.dn_loss_iou: 0.3616 d1.dn_loss_cls: 0.1042 d1.dn_loss_bbox: 0.2018 d1.dn_loss_iou: 0.2511 d2.dn_loss_cls: 0.0875 d2.dn_loss_bbox: 0.1829 d2.dn_loss_iou: 0.2281 d3.dn_loss_cls: 0.0798 d3.dn_loss_bbox: 0.1740 d3.dn_loss_iou: 0.2207 d4.dn_loss_cls: 0.0772 d4.dn_loss_bbox: 0.1735 d4.dn_loss_iou: 0.2196 d1.loss_lmm_region: 0.0993 loss_lmm_image: 0.6303 2024/11/04 06:09:43 - mmengine - INFO - Iter(train) [144100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:37:35 time: 0.9812 data_time: 0.0195 memory: 21177 grad_norm: 20.0955 loss: 8.9930 loss_cls: 0.2837 loss_bbox: 0.1402 loss_iou: 0.2403 d0.loss_cls: 0.3146 d0.loss_bbox: 0.1555 d0.loss_iou: 0.2592 d1.loss_cls: 0.2981 d1.loss_bbox: 0.1453 d1.loss_iou: 0.2476 d2.loss_cls: 0.2909 d2.loss_bbox: 0.1427 d2.loss_iou: 0.2425 d3.loss_cls: 0.2901 d3.loss_bbox: 0.1379 d3.loss_iou: 0.2401 d4.loss_cls: 0.2839 d4.loss_bbox: 0.1426 d4.loss_iou: 0.2396 enc_loss_cls: 0.3397 enc_loss_bbox: 0.1640 enc_loss_iou: 0.2772 dn_loss_cls: 0.0784 dn_loss_bbox: 0.1713 dn_loss_iou: 0.2192 d0.dn_loss_cls: 0.1690 d0.dn_loss_bbox: 0.3299 d0.dn_loss_iou: 0.3676 d1.dn_loss_cls: 0.1134 d1.dn_loss_bbox: 0.2048 d1.dn_loss_iou: 0.2534 d2.dn_loss_cls: 0.0961 d2.dn_loss_bbox: 0.1816 d2.dn_loss_iou: 0.2297 d3.dn_loss_cls: 0.0842 d3.dn_loss_bbox: 0.1731 d3.dn_loss_iou: 0.2210 d4.dn_loss_cls: 0.0795 d4.dn_loss_bbox: 0.1714 d4.dn_loss_iou: 0.2193 d1.loss_lmm_region: 0.1002 loss_lmm_image: 0.6543 2024/11/04 06:11:21 - mmengine - INFO - Iter(train) [144200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:35:56 time: 0.9795 data_time: 0.0192 memory: 20637 grad_norm: 21.1026 loss: 8.9693 loss_cls: 0.2665 loss_bbox: 0.1479 loss_iou: 0.2648 d0.loss_cls: 0.3058 d0.loss_bbox: 0.1576 d0.loss_iou: 0.2727 d1.loss_cls: 0.2835 d1.loss_bbox: 0.1491 d1.loss_iou: 0.2664 d2.loss_cls: 0.2726 d2.loss_bbox: 0.1485 d2.loss_iou: 0.2665 d3.loss_cls: 0.2723 d3.loss_bbox: 0.1458 d3.loss_iou: 0.2629 d4.loss_cls: 0.2665 d4.loss_bbox: 0.1487 d4.loss_iou: 0.2663 enc_loss_cls: 0.3223 enc_loss_bbox: 0.1648 enc_loss_iou: 0.2892 dn_loss_cls: 0.0778 dn_loss_bbox: 0.1613 dn_loss_iou: 0.2193 d0.dn_loss_cls: 0.1708 d0.dn_loss_bbox: 0.3052 d0.dn_loss_iou: 0.3646 d1.dn_loss_cls: 0.1132 d1.dn_loss_bbox: 0.1899 d1.dn_loss_iou: 0.2484 d2.dn_loss_cls: 0.0952 d2.dn_loss_bbox: 0.1713 d2.dn_loss_iou: 0.2280 d3.dn_loss_cls: 0.0845 d3.dn_loss_bbox: 0.1622 d3.dn_loss_iou: 0.2204 d4.dn_loss_cls: 0.0797 d4.dn_loss_bbox: 0.1611 d4.dn_loss_iou: 0.2193 d1.loss_lmm_region: 0.0959 loss_lmm_image: 0.6609 2024/11/04 06:12:59 - mmengine - INFO - Iter(train) [144300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:34:17 time: 0.9852 data_time: 0.0193 memory: 20797 grad_norm: 20.4343 loss: 9.0836 loss_cls: 0.3001 loss_bbox: 0.1359 loss_iou: 0.2906 d0.loss_cls: 0.3401 d0.loss_bbox: 0.1543 d0.loss_iou: 0.3073 d1.loss_cls: 0.3211 d1.loss_bbox: 0.1420 d1.loss_iou: 0.2969 d2.loss_cls: 0.3090 d2.loss_bbox: 0.1402 d2.loss_iou: 0.2941 d3.loss_cls: 0.3058 d3.loss_bbox: 0.1378 d3.loss_iou: 0.2908 d4.loss_cls: 0.3017 d4.loss_bbox: 0.1371 d4.loss_iou: 0.2900 enc_loss_cls: 0.3548 enc_loss_bbox: 0.1613 enc_loss_iou: 0.3227 dn_loss_cls: 0.0665 dn_loss_bbox: 0.1389 dn_loss_iou: 0.2119 d0.dn_loss_cls: 0.1564 d0.dn_loss_bbox: 0.2752 d0.dn_loss_iou: 0.3471 d1.dn_loss_cls: 0.0990 d1.dn_loss_bbox: 0.1692 d1.dn_loss_iou: 0.2403 d2.dn_loss_cls: 0.0813 d2.dn_loss_bbox: 0.1454 d2.dn_loss_iou: 0.2187 d3.dn_loss_cls: 0.0734 d3.dn_loss_bbox: 0.1393 d3.dn_loss_iou: 0.2127 d4.dn_loss_cls: 0.0666 d4.dn_loss_bbox: 0.1390 d4.dn_loss_iou: 0.2120 d1.loss_lmm_region: 0.0871 loss_lmm_image: 0.6700 2024/11/04 06:14:37 - mmengine - INFO - Iter(train) [144400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:32:37 time: 0.9765 data_time: 0.0191 memory: 22169 grad_norm: 18.1316 loss: 9.0805 loss_cls: 0.2891 loss_bbox: 0.1465 loss_iou: 0.2684 d0.loss_cls: 0.3269 d0.loss_bbox: 0.1619 d0.loss_iou: 0.2871 d1.loss_cls: 0.3136 d1.loss_bbox: 0.1526 d1.loss_iou: 0.2695 d2.loss_cls: 0.3010 d2.loss_bbox: 0.1488 d2.loss_iou: 0.2687 d3.loss_cls: 0.2959 d3.loss_bbox: 0.1459 d3.loss_iou: 0.2659 d4.loss_cls: 0.2893 d4.loss_bbox: 0.1468 d4.loss_iou: 0.2680 enc_loss_cls: 0.3437 enc_loss_bbox: 0.1757 enc_loss_iou: 0.3032 dn_loss_cls: 0.0841 dn_loss_bbox: 0.1534 dn_loss_iou: 0.2122 d0.dn_loss_cls: 0.1657 d0.dn_loss_bbox: 0.2896 d0.dn_loss_iou: 0.3524 d1.dn_loss_cls: 0.1108 d1.dn_loss_bbox: 0.1851 d1.dn_loss_iou: 0.2438 d2.dn_loss_cls: 0.0946 d2.dn_loss_bbox: 0.1622 d2.dn_loss_iou: 0.2210 d3.dn_loss_cls: 0.0889 d3.dn_loss_bbox: 0.1542 d3.dn_loss_iou: 0.2133 d4.dn_loss_cls: 0.0851 d4.dn_loss_bbox: 0.1534 d4.dn_loss_iou: 0.2120 d1.loss_lmm_region: 0.1045 loss_lmm_image: 0.6258 2024/11/04 06:16:15 - mmengine - INFO - Iter(train) [144500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:30:58 time: 0.9780 data_time: 0.0192 memory: 20318 grad_norm: 19.8007 loss: 8.5697 loss_cls: 0.2384 loss_bbox: 0.1464 loss_iou: 0.2208 d0.loss_cls: 0.2676 d0.loss_bbox: 0.1543 d0.loss_iou: 0.2350 d1.loss_cls: 0.2509 d1.loss_bbox: 0.1482 d1.loss_iou: 0.2251 d2.loss_cls: 0.2469 d2.loss_bbox: 0.1436 d2.loss_iou: 0.2213 d3.loss_cls: 0.2450 d3.loss_bbox: 0.1427 d3.loss_iou: 0.2204 d4.loss_cls: 0.2402 d4.loss_bbox: 0.1450 d4.loss_iou: 0.2199 enc_loss_cls: 0.2912 enc_loss_bbox: 0.1641 enc_loss_iou: 0.2491 dn_loss_cls: 0.0771 dn_loss_bbox: 0.1905 dn_loss_iou: 0.2183 d0.dn_loss_cls: 0.1732 d0.dn_loss_bbox: 0.3718 d0.dn_loss_iou: 0.3795 d1.dn_loss_cls: 0.1098 d1.dn_loss_bbox: 0.2305 d1.dn_loss_iou: 0.2524 d2.dn_loss_cls: 0.0931 d2.dn_loss_bbox: 0.2008 d2.dn_loss_iou: 0.2281 d3.dn_loss_cls: 0.0819 d3.dn_loss_bbox: 0.1919 d3.dn_loss_iou: 0.2197 d4.dn_loss_cls: 0.0775 d4.dn_loss_bbox: 0.1906 d4.dn_loss_iou: 0.2184 d1.loss_lmm_region: 0.1087 loss_lmm_image: 0.5399 2024/11/04 06:17:53 - mmengine - INFO - Iter(train) [144600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:29:19 time: 0.9686 data_time: 0.0192 memory: 21460 grad_norm: 21.6800 loss: 8.6734 loss_cls: 0.2690 loss_bbox: 0.1410 loss_iou: 0.2613 d0.loss_cls: 0.3032 d0.loss_bbox: 0.1529 d0.loss_iou: 0.2793 d1.loss_cls: 0.2837 d1.loss_bbox: 0.1449 d1.loss_iou: 0.2637 d2.loss_cls: 0.2742 d2.loss_bbox: 0.1444 d2.loss_iou: 0.2641 d3.loss_cls: 0.2775 d3.loss_bbox: 0.1400 d3.loss_iou: 0.2604 d4.loss_cls: 0.2708 d4.loss_bbox: 0.1409 d4.loss_iou: 0.2611 enc_loss_cls: 0.3276 enc_loss_bbox: 0.1597 enc_loss_iou: 0.2920 dn_loss_cls: 0.0638 dn_loss_bbox: 0.1548 dn_loss_iou: 0.2021 d0.dn_loss_cls: 0.1491 d0.dn_loss_bbox: 0.2938 d0.dn_loss_iou: 0.3385 d1.dn_loss_cls: 0.0938 d1.dn_loss_bbox: 0.1849 d1.dn_loss_iou: 0.2316 d2.dn_loss_cls: 0.0765 d2.dn_loss_bbox: 0.1664 d2.dn_loss_iou: 0.2110 d3.dn_loss_cls: 0.0699 d3.dn_loss_bbox: 0.1566 d3.dn_loss_iou: 0.2034 d4.dn_loss_cls: 0.0649 d4.dn_loss_bbox: 0.1548 d4.dn_loss_iou: 0.2021 d1.loss_lmm_region: 0.1006 loss_lmm_image: 0.6433 2024/11/04 06:19:31 - mmengine - INFO - Iter(train) [144700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:27:39 time: 0.9694 data_time: 0.0192 memory: 20928 grad_norm: 22.2489 loss: 7.9083 loss_cls: 0.2382 loss_bbox: 0.1068 loss_iou: 0.2260 d0.loss_cls: 0.2587 d0.loss_bbox: 0.1225 d0.loss_iou: 0.2469 d1.loss_cls: 0.2505 d1.loss_bbox: 0.1133 d1.loss_iou: 0.2302 d2.loss_cls: 0.2449 d2.loss_bbox: 0.1076 d2.loss_iou: 0.2253 d3.loss_cls: 0.2400 d3.loss_bbox: 0.1080 d3.loss_iou: 0.2254 d4.loss_cls: 0.2398 d4.loss_bbox: 0.1062 d4.loss_iou: 0.2249 enc_loss_cls: 0.2747 enc_loss_bbox: 0.1413 enc_loss_iou: 0.2681 dn_loss_cls: 0.0662 dn_loss_bbox: 0.1431 dn_loss_iou: 0.2056 d0.dn_loss_cls: 0.1352 d0.dn_loss_bbox: 0.2784 d0.dn_loss_iou: 0.3450 d1.dn_loss_cls: 0.0882 d1.dn_loss_bbox: 0.1776 d1.dn_loss_iou: 0.2395 d2.dn_loss_cls: 0.0747 d2.dn_loss_bbox: 0.1521 d2.dn_loss_iou: 0.2149 d3.dn_loss_cls: 0.0690 d3.dn_loss_bbox: 0.1447 d3.dn_loss_iou: 0.2073 d4.dn_loss_cls: 0.0674 d4.dn_loss_bbox: 0.1432 d4.dn_loss_iou: 0.2056 d1.loss_lmm_region: 0.0857 loss_lmm_image: 0.6660 2024/11/04 06:21:09 - mmengine - INFO - Iter(train) [144800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:26:00 time: 0.9741 data_time: 0.0191 memory: 20700 grad_norm: 21.4085 loss: 8.1238 loss_cls: 0.2450 loss_bbox: 0.1223 loss_iou: 0.2237 d0.loss_cls: 0.2750 d0.loss_bbox: 0.1364 d0.loss_iou: 0.2400 d1.loss_cls: 0.2574 d1.loss_bbox: 0.1277 d1.loss_iou: 0.2307 d2.loss_cls: 0.2513 d2.loss_bbox: 0.1261 d2.loss_iou: 0.2267 d3.loss_cls: 0.2487 d3.loss_bbox: 0.1234 d3.loss_iou: 0.2231 d4.loss_cls: 0.2453 d4.loss_bbox: 0.1226 d4.loss_iou: 0.2243 enc_loss_cls: 0.2944 enc_loss_bbox: 0.1456 enc_loss_iou: 0.2517 dn_loss_cls: 0.0626 dn_loss_bbox: 0.1604 dn_loss_iou: 0.1957 d0.dn_loss_cls: 0.1465 d0.dn_loss_bbox: 0.3161 d0.dn_loss_iou: 0.3433 d1.dn_loss_cls: 0.0908 d1.dn_loss_bbox: 0.1949 d1.dn_loss_iou: 0.2281 d2.dn_loss_cls: 0.0756 d2.dn_loss_bbox: 0.1713 d2.dn_loss_iou: 0.2057 d3.dn_loss_cls: 0.0658 d3.dn_loss_bbox: 0.1620 d3.dn_loss_iou: 0.1976 d4.dn_loss_cls: 0.0632 d4.dn_loss_bbox: 0.1606 d4.dn_loss_iou: 0.1958 d1.loss_lmm_region: 0.0963 loss_lmm_image: 0.6497 2024/11/04 06:22:46 - mmengine - INFO - Iter(train) [144900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:24:21 time: 0.9718 data_time: 0.0191 memory: 20442 grad_norm: 18.6049 loss: 9.2393 loss_cls: 0.2979 loss_bbox: 0.1510 loss_iou: 0.2816 d0.loss_cls: 0.3266 d0.loss_bbox: 0.1609 d0.loss_iou: 0.2915 d1.loss_cls: 0.3137 d1.loss_bbox: 0.1504 d1.loss_iou: 0.2826 d2.loss_cls: 0.3052 d2.loss_bbox: 0.1484 d2.loss_iou: 0.2810 d3.loss_cls: 0.3054 d3.loss_bbox: 0.1481 d3.loss_iou: 0.2789 d4.loss_cls: 0.2980 d4.loss_bbox: 0.1516 d4.loss_iou: 0.2836 enc_loss_cls: 0.3457 enc_loss_bbox: 0.1748 enc_loss_iou: 0.3117 dn_loss_cls: 0.0708 dn_loss_bbox: 0.1529 dn_loss_iou: 0.2254 d0.dn_loss_cls: 0.1590 d0.dn_loss_bbox: 0.3035 d0.dn_loss_iou: 0.3799 d1.dn_loss_cls: 0.1024 d1.dn_loss_bbox: 0.1835 d1.dn_loss_iou: 0.2572 d2.dn_loss_cls: 0.0861 d2.dn_loss_bbox: 0.1613 d2.dn_loss_iou: 0.2344 d3.dn_loss_cls: 0.0772 d3.dn_loss_bbox: 0.1548 d3.dn_loss_iou: 0.2278 d4.dn_loss_cls: 0.0722 d4.dn_loss_bbox: 0.1530 d4.dn_loss_iou: 0.2255 d1.loss_lmm_region: 0.1012 loss_lmm_image: 0.6227 2024/11/04 06:24:25 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 06:24:25 - mmengine - INFO - Iter(train) [145000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:22:42 time: 0.9848 data_time: 0.0192 memory: 21097 grad_norm: 19.6384 loss: 9.6724 loss_cls: 0.2979 loss_bbox: 0.1613 loss_iou: 0.3078 d0.loss_cls: 0.3339 d0.loss_bbox: 0.1747 d0.loss_iou: 0.3209 d1.loss_cls: 0.3216 d1.loss_bbox: 0.1616 d1.loss_iou: 0.3109 d2.loss_cls: 0.3149 d2.loss_bbox: 0.1539 d2.loss_iou: 0.3020 d3.loss_cls: 0.3077 d3.loss_bbox: 0.1574 d3.loss_iou: 0.3058 d4.loss_cls: 0.3019 d4.loss_bbox: 0.1602 d4.loss_iou: 0.3067 enc_loss_cls: 0.3579 enc_loss_bbox: 0.1808 enc_loss_iou: 0.3373 dn_loss_cls: 0.0764 dn_loss_bbox: 0.1642 dn_loss_iou: 0.2280 d0.dn_loss_cls: 0.1725 d0.dn_loss_bbox: 0.3148 d0.dn_loss_iou: 0.3807 d1.dn_loss_cls: 0.1100 d1.dn_loss_bbox: 0.1951 d1.dn_loss_iou: 0.2619 d2.dn_loss_cls: 0.0911 d2.dn_loss_bbox: 0.1734 d2.dn_loss_iou: 0.2375 d3.dn_loss_cls: 0.0824 d3.dn_loss_bbox: 0.1649 d3.dn_loss_iou: 0.2296 d4.dn_loss_cls: 0.0771 d4.dn_loss_bbox: 0.1641 d4.dn_loss_iou: 0.2279 d1.loss_lmm_region: 0.1005 loss_lmm_image: 0.6437 2024/11/04 06:26:03 - mmengine - INFO - Iter(train) [145100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:21:02 time: 0.9903 data_time: 0.0192 memory: 21388 grad_norm: 23.1797 loss: 8.8890 loss_cls: 0.2876 loss_bbox: 0.1450 loss_iou: 0.2616 d0.loss_cls: 0.3058 d0.loss_bbox: 0.1579 d0.loss_iou: 0.2837 d1.loss_cls: 0.3025 d1.loss_bbox: 0.1483 d1.loss_iou: 0.2661 d2.loss_cls: 0.2960 d2.loss_bbox: 0.1446 d2.loss_iou: 0.2630 d3.loss_cls: 0.2943 d3.loss_bbox: 0.1430 d3.loss_iou: 0.2612 d4.loss_cls: 0.2912 d4.loss_bbox: 0.1429 d4.loss_iou: 0.2603 enc_loss_cls: 0.3302 enc_loss_bbox: 0.1647 enc_loss_iou: 0.2976 dn_loss_cls: 0.0738 dn_loss_bbox: 0.1484 dn_loss_iou: 0.2120 d0.dn_loss_cls: 0.1658 d0.dn_loss_bbox: 0.2859 d0.dn_loss_iou: 0.3475 d1.dn_loss_cls: 0.1093 d1.dn_loss_bbox: 0.1768 d1.dn_loss_iou: 0.2416 d2.dn_loss_cls: 0.0907 d2.dn_loss_bbox: 0.1574 d2.dn_loss_iou: 0.2204 d3.dn_loss_cls: 0.0783 d3.dn_loss_bbox: 0.1497 d3.dn_loss_iou: 0.2134 d4.dn_loss_cls: 0.0739 d4.dn_loss_bbox: 0.1484 d4.dn_loss_iou: 0.2121 d1.loss_lmm_region: 0.1065 loss_lmm_image: 0.6297 2024/11/04 06:27:41 - mmengine - INFO - Iter(train) [145200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:19:23 time: 0.9755 data_time: 0.0191 memory: 21559 grad_norm: nan loss: 8.5018 loss_cls: 0.2521 loss_bbox: 0.1353 loss_iou: 0.2248 d0.loss_cls: 0.2835 d0.loss_bbox: 0.1505 d0.loss_iou: 0.2419 d1.loss_cls: 0.2637 d1.loss_bbox: 0.1397 d1.loss_iou: 0.2299 d2.loss_cls: 0.2560 d2.loss_bbox: 0.1382 d2.loss_iou: 0.2272 d3.loss_cls: 0.2511 d3.loss_bbox: 0.1391 d3.loss_iou: 0.2285 d4.loss_cls: 0.2514 d4.loss_bbox: 0.1366 d4.loss_iou: 0.2266 enc_loss_cls: 0.3051 enc_loss_bbox: 0.1580 enc_loss_iou: 0.2537 dn_loss_cls: 0.0765 dn_loss_bbox: 0.1757 dn_loss_iou: 0.2140 d0.dn_loss_cls: 0.1586 d0.dn_loss_bbox: 0.3182 d0.dn_loss_iou: 0.3533 d1.dn_loss_cls: 0.1065 d1.dn_loss_bbox: 0.2094 d1.dn_loss_iou: 0.2439 d2.dn_loss_cls: 0.0900 d2.dn_loss_bbox: 0.1831 d2.dn_loss_iou: 0.2216 d3.dn_loss_cls: 0.0801 d3.dn_loss_bbox: 0.1766 d3.dn_loss_iou: 0.2150 d4.dn_loss_cls: 0.0770 d4.dn_loss_bbox: 0.1756 d4.dn_loss_iou: 0.2138 d1.loss_lmm_region: 0.0846 loss_lmm_image: 0.6354 2024/11/04 06:29:19 - mmengine - INFO - Iter(train) [145300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:17:44 time: 0.9820 data_time: 0.0194 memory: 20725 grad_norm: 19.3678 loss: 8.7564 loss_cls: 0.2623 loss_bbox: 0.1329 loss_iou: 0.2529 d0.loss_cls: 0.3018 d0.loss_bbox: 0.1430 d0.loss_iou: 0.2625 d1.loss_cls: 0.2785 d1.loss_bbox: 0.1366 d1.loss_iou: 0.2567 d2.loss_cls: 0.2741 d2.loss_bbox: 0.1299 d2.loss_iou: 0.2511 d3.loss_cls: 0.2689 d3.loss_bbox: 0.1309 d3.loss_iou: 0.2508 d4.loss_cls: 0.2639 d4.loss_bbox: 0.1320 d4.loss_iou: 0.2531 enc_loss_cls: 0.3218 enc_loss_bbox: 0.1557 enc_loss_iou: 0.2833 dn_loss_cls: 0.0746 dn_loss_bbox: 0.1742 dn_loss_iou: 0.2183 d0.dn_loss_cls: 0.1610 d0.dn_loss_bbox: 0.3240 d0.dn_loss_iou: 0.3621 d1.dn_loss_cls: 0.1071 d1.dn_loss_bbox: 0.2045 d1.dn_loss_iou: 0.2474 d2.dn_loss_cls: 0.0877 d2.dn_loss_bbox: 0.1798 d2.dn_loss_iou: 0.2243 d3.dn_loss_cls: 0.0802 d3.dn_loss_bbox: 0.1748 d3.dn_loss_iou: 0.2194 d4.dn_loss_cls: 0.0759 d4.dn_loss_bbox: 0.1743 d4.dn_loss_iou: 0.2183 d1.loss_lmm_region: 0.0978 loss_lmm_image: 0.6082 2024/11/04 06:30:57 - mmengine - INFO - Iter(train) [145400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:16:04 time: 0.9772 data_time: 0.0192 memory: 20687 grad_norm: 20.5327 loss: 8.4823 loss_cls: 0.2564 loss_bbox: 0.1280 loss_iou: 0.2461 d0.loss_cls: 0.2921 d0.loss_bbox: 0.1410 d0.loss_iou: 0.2615 d1.loss_cls: 0.2747 d1.loss_bbox: 0.1308 d1.loss_iou: 0.2492 d2.loss_cls: 0.2632 d2.loss_bbox: 0.1297 d2.loss_iou: 0.2481 d3.loss_cls: 0.2605 d3.loss_bbox: 0.1275 d3.loss_iou: 0.2455 d4.loss_cls: 0.2556 d4.loss_bbox: 0.1286 d4.loss_iou: 0.2467 enc_loss_cls: 0.3145 enc_loss_bbox: 0.1504 enc_loss_iou: 0.2770 dn_loss_cls: 0.0697 dn_loss_bbox: 0.1519 dn_loss_iou: 0.2109 d0.dn_loss_cls: 0.1542 d0.dn_loss_bbox: 0.2962 d0.dn_loss_iou: 0.3489 d1.dn_loss_cls: 0.0987 d1.dn_loss_bbox: 0.1872 d1.dn_loss_iou: 0.2413 d2.dn_loss_cls: 0.0825 d2.dn_loss_bbox: 0.1625 d2.dn_loss_iou: 0.2195 d3.dn_loss_cls: 0.0758 d3.dn_loss_bbox: 0.1529 d3.dn_loss_iou: 0.2122 d4.dn_loss_cls: 0.0703 d4.dn_loss_bbox: 0.1518 d4.dn_loss_iou: 0.2108 d1.loss_lmm_region: 0.0952 loss_lmm_image: 0.6626 2024/11/04 06:32:37 - mmengine - INFO - Iter(train) [145500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:14:25 time: 0.9945 data_time: 0.0191 memory: 21587 grad_norm: 19.9760 loss: 8.2831 loss_cls: 0.2828 loss_bbox: 0.1282 loss_iou: 0.2265 d0.loss_cls: 0.3006 d0.loss_bbox: 0.1524 d0.loss_iou: 0.2543 d1.loss_cls: 0.2976 d1.loss_bbox: 0.1353 d1.loss_iou: 0.2346 d2.loss_cls: 0.2902 d2.loss_bbox: 0.1311 d2.loss_iou: 0.2273 d3.loss_cls: 0.2859 d3.loss_bbox: 0.1333 d3.loss_iou: 0.2282 d4.loss_cls: 0.2843 d4.loss_bbox: 0.1293 d4.loss_iou: 0.2271 enc_loss_cls: 0.3258 enc_loss_bbox: 0.1584 enc_loss_iou: 0.2705 dn_loss_cls: 0.0634 dn_loss_bbox: 0.1382 dn_loss_iou: 0.1872 d0.dn_loss_cls: 0.1500 d0.dn_loss_bbox: 0.2839 d0.dn_loss_iou: 0.3228 d1.dn_loss_cls: 0.0949 d1.dn_loss_bbox: 0.1728 d1.dn_loss_iou: 0.2171 d2.dn_loss_cls: 0.0775 d2.dn_loss_bbox: 0.1474 d2.dn_loss_iou: 0.1961 d3.dn_loss_cls: 0.0697 d3.dn_loss_bbox: 0.1396 d3.dn_loss_iou: 0.1889 d4.dn_loss_cls: 0.0639 d4.dn_loss_bbox: 0.1383 d4.dn_loss_iou: 0.1873 d1.loss_lmm_region: 0.1128 loss_lmm_image: 0.6276 2024/11/04 06:34:15 - mmengine - INFO - Iter(train) [145600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:12:46 time: 0.9798 data_time: 0.0192 memory: 21065 grad_norm: 22.1960 loss: 8.2348 loss_cls: 0.2448 loss_bbox: 0.1279 loss_iou: 0.2233 d0.loss_cls: 0.2674 d0.loss_bbox: 0.1408 d0.loss_iou: 0.2385 d1.loss_cls: 0.2609 d1.loss_bbox: 0.1297 d1.loss_iou: 0.2289 d2.loss_cls: 0.2542 d2.loss_bbox: 0.1322 d2.loss_iou: 0.2282 d3.loss_cls: 0.2507 d3.loss_bbox: 0.1310 d3.loss_iou: 0.2259 d4.loss_cls: 0.2464 d4.loss_bbox: 0.1282 d4.loss_iou: 0.2240 enc_loss_cls: 0.2881 enc_loss_bbox: 0.1538 enc_loss_iou: 0.2576 dn_loss_cls: 0.0693 dn_loss_bbox: 0.1609 dn_loss_iou: 0.2062 d0.dn_loss_cls: 0.1556 d0.dn_loss_bbox: 0.3215 d0.dn_loss_iou: 0.3642 d1.dn_loss_cls: 0.0959 d1.dn_loss_bbox: 0.1978 d1.dn_loss_iou: 0.2419 d2.dn_loss_cls: 0.0803 d2.dn_loss_bbox: 0.1741 d2.dn_loss_iou: 0.2168 d3.dn_loss_cls: 0.0730 d3.dn_loss_bbox: 0.1623 d3.dn_loss_iou: 0.2074 d4.dn_loss_cls: 0.0701 d4.dn_loss_bbox: 0.1610 d4.dn_loss_iou: 0.2062 d1.loss_lmm_region: 0.0907 loss_lmm_image: 0.5970 2024/11/04 06:35:53 - mmengine - INFO - Iter(train) [145700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:11:07 time: 0.9879 data_time: 0.0192 memory: 20937 grad_norm: 20.2459 loss: 9.2187 loss_cls: 0.2992 loss_bbox: 0.1444 loss_iou: 0.2722 d0.loss_cls: 0.3337 d0.loss_bbox: 0.1660 d0.loss_iou: 0.2952 d1.loss_cls: 0.3143 d1.loss_bbox: 0.1565 d1.loss_iou: 0.2840 d2.loss_cls: 0.3051 d2.loss_bbox: 0.1497 d2.loss_iou: 0.2771 d3.loss_cls: 0.3038 d3.loss_bbox: 0.1465 d3.loss_iou: 0.2728 d4.loss_cls: 0.2997 d4.loss_bbox: 0.1441 d4.loss_iou: 0.2729 enc_loss_cls: 0.3484 enc_loss_bbox: 0.1783 enc_loss_iou: 0.3137 dn_loss_cls: 0.0795 dn_loss_bbox: 0.1561 dn_loss_iou: 0.2099 d0.dn_loss_cls: 0.1565 d0.dn_loss_bbox: 0.2986 d0.dn_loss_iou: 0.3464 d1.dn_loss_cls: 0.1032 d1.dn_loss_bbox: 0.1940 d1.dn_loss_iou: 0.2431 d2.dn_loss_cls: 0.0889 d2.dn_loss_bbox: 0.1678 d2.dn_loss_iou: 0.2199 d3.dn_loss_cls: 0.0828 d3.dn_loss_bbox: 0.1578 d3.dn_loss_iou: 0.2112 d4.dn_loss_cls: 0.0807 d4.dn_loss_bbox: 0.1561 d4.dn_loss_iou: 0.2099 d1.loss_lmm_region: 0.1055 loss_lmm_image: 0.6732 2024/11/04 06:37:32 - mmengine - INFO - Iter(train) [145800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:09:27 time: 0.9899 data_time: 0.0192 memory: 20971 grad_norm: 19.9380 loss: 9.0969 loss_cls: 0.2916 loss_bbox: 0.1429 loss_iou: 0.2559 d0.loss_cls: 0.3250 d0.loss_bbox: 0.1640 d0.loss_iou: 0.2788 d1.loss_cls: 0.3104 d1.loss_bbox: 0.1483 d1.loss_iou: 0.2664 d2.loss_cls: 0.2997 d2.loss_bbox: 0.1464 d2.loss_iou: 0.2614 d3.loss_cls: 0.2966 d3.loss_bbox: 0.1422 d3.loss_iou: 0.2577 d4.loss_cls: 0.2941 d4.loss_bbox: 0.1411 d4.loss_iou: 0.2567 enc_loss_cls: 0.3455 enc_loss_bbox: 0.1722 enc_loss_iou: 0.2943 dn_loss_cls: 0.0847 dn_loss_bbox: 0.1510 dn_loss_iou: 0.2161 d0.dn_loss_cls: 0.1731 d0.dn_loss_bbox: 0.3073 d0.dn_loss_iou: 0.3684 d1.dn_loss_cls: 0.1130 d1.dn_loss_bbox: 0.1884 d1.dn_loss_iou: 0.2488 d2.dn_loss_cls: 0.0923 d2.dn_loss_bbox: 0.1619 d2.dn_loss_iou: 0.2245 d3.dn_loss_cls: 0.0866 d3.dn_loss_bbox: 0.1530 d3.dn_loss_iou: 0.2177 d4.dn_loss_cls: 0.0855 d4.dn_loss_bbox: 0.1510 d4.dn_loss_iou: 0.2162 d1.loss_lmm_region: 0.1235 loss_lmm_image: 0.6428 2024/11/04 06:39:10 - mmengine - INFO - Iter(train) [145900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:07:48 time: 0.9843 data_time: 0.0193 memory: 21298 grad_norm: 18.8796 loss: 8.9874 loss_cls: 0.2873 loss_bbox: 0.1381 loss_iou: 0.2415 d0.loss_cls: 0.3143 d0.loss_bbox: 0.1568 d0.loss_iou: 0.2680 d1.loss_cls: 0.2998 d1.loss_bbox: 0.1471 d1.loss_iou: 0.2530 d2.loss_cls: 0.2939 d2.loss_bbox: 0.1383 d2.loss_iou: 0.2440 d3.loss_cls: 0.2908 d3.loss_bbox: 0.1386 d3.loss_iou: 0.2438 d4.loss_cls: 0.2881 d4.loss_bbox: 0.1373 d4.loss_iou: 0.2412 enc_loss_cls: 0.3376 enc_loss_bbox: 0.1683 enc_loss_iou: 0.2860 dn_loss_cls: 0.0651 dn_loss_bbox: 0.1859 dn_loss_iou: 0.2171 d0.dn_loss_cls: 0.1496 d0.dn_loss_bbox: 0.3436 d0.dn_loss_iou: 0.3693 d1.dn_loss_cls: 0.0983 d1.dn_loss_bbox: 0.2224 d1.dn_loss_iou: 0.2513 d2.dn_loss_cls: 0.0815 d2.dn_loss_bbox: 0.1949 d2.dn_loss_iou: 0.2256 d3.dn_loss_cls: 0.0721 d3.dn_loss_bbox: 0.1873 d3.dn_loss_iou: 0.2186 d4.dn_loss_cls: 0.0655 d4.dn_loss_bbox: 0.1860 d4.dn_loss_iou: 0.2171 d1.loss_lmm_region: 0.0935 loss_lmm_image: 0.6290 2024/11/04 06:40:48 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 06:40:48 - mmengine - INFO - Iter(train) [146000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:06:09 time: 0.9785 data_time: 0.0193 memory: 20876 grad_norm: 21.7320 loss: 9.1860 loss_cls: 0.3064 loss_bbox: 0.1433 loss_iou: 0.2575 d0.loss_cls: 0.3410 d0.loss_bbox: 0.1580 d0.loss_iou: 0.2718 d1.loss_cls: 0.3214 d1.loss_bbox: 0.1461 d1.loss_iou: 0.2645 d2.loss_cls: 0.3196 d2.loss_bbox: 0.1422 d2.loss_iou: 0.2591 d3.loss_cls: 0.3138 d3.loss_bbox: 0.1405 d3.loss_iou: 0.2565 d4.loss_cls: 0.3084 d4.loss_bbox: 0.1425 d4.loss_iou: 0.2565 enc_loss_cls: 0.3604 enc_loss_bbox: 0.1697 enc_loss_iou: 0.2938 dn_loss_cls: 0.0890 dn_loss_bbox: 0.1569 dn_loss_iou: 0.2141 d0.dn_loss_cls: 0.1762 d0.dn_loss_bbox: 0.3035 d0.dn_loss_iou: 0.3609 d1.dn_loss_cls: 0.1202 d1.dn_loss_bbox: 0.1893 d1.dn_loss_iou: 0.2474 d2.dn_loss_cls: 0.1053 d2.dn_loss_bbox: 0.1666 d2.dn_loss_iou: 0.2231 d3.dn_loss_cls: 0.0929 d3.dn_loss_bbox: 0.1586 d3.dn_loss_iou: 0.2158 d4.dn_loss_cls: 0.0888 d4.dn_loss_bbox: 0.1568 d4.dn_loss_iou: 0.2139 d1.loss_lmm_region: 0.0988 loss_lmm_image: 0.6348 2024/11/04 06:42:27 - mmengine - INFO - Iter(train) [146100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:04:30 time: 0.9811 data_time: 0.0191 memory: 21255 grad_norm: 18.1180 loss: 8.8348 loss_cls: 0.2781 loss_bbox: 0.1410 loss_iou: 0.2368 d0.loss_cls: 0.3082 d0.loss_bbox: 0.1556 d0.loss_iou: 0.2574 d1.loss_cls: 0.2954 d1.loss_bbox: 0.1461 d1.loss_iou: 0.2453 d2.loss_cls: 0.2883 d2.loss_bbox: 0.1397 d2.loss_iou: 0.2387 d3.loss_cls: 0.2810 d3.loss_bbox: 0.1401 d3.loss_iou: 0.2375 d4.loss_cls: 0.2801 d4.loss_bbox: 0.1378 d4.loss_iou: 0.2341 enc_loss_cls: 0.3295 enc_loss_bbox: 0.1654 enc_loss_iou: 0.2723 dn_loss_cls: 0.0765 dn_loss_bbox: 0.1682 dn_loss_iou: 0.2129 d0.dn_loss_cls: 0.1676 d0.dn_loss_bbox: 0.3280 d0.dn_loss_iou: 0.3650 d1.dn_loss_cls: 0.1087 d1.dn_loss_bbox: 0.2039 d1.dn_loss_iou: 0.2469 d2.dn_loss_cls: 0.0900 d2.dn_loss_bbox: 0.1791 d2.dn_loss_iou: 0.2224 d3.dn_loss_cls: 0.0803 d3.dn_loss_bbox: 0.1701 d3.dn_loss_iou: 0.2148 d4.dn_loss_cls: 0.0771 d4.dn_loss_bbox: 0.1683 d4.dn_loss_iou: 0.2130 d1.loss_lmm_region: 0.1106 loss_lmm_image: 0.6230 2024/11/04 06:44:05 - mmengine - INFO - Iter(train) [146200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:02:50 time: 0.9818 data_time: 0.0192 memory: 20803 grad_norm: 22.3730 loss: 8.9702 loss_cls: 0.2712 loss_bbox: 0.1456 loss_iou: 0.2927 d0.loss_cls: 0.3125 d0.loss_bbox: 0.1583 d0.loss_iou: 0.3082 d1.loss_cls: 0.2916 d1.loss_bbox: 0.1477 d1.loss_iou: 0.2976 d2.loss_cls: 0.2816 d2.loss_bbox: 0.1469 d2.loss_iou: 0.2944 d3.loss_cls: 0.2775 d3.loss_bbox: 0.1466 d3.loss_iou: 0.2930 d4.loss_cls: 0.2728 d4.loss_bbox: 0.1453 d4.loss_iou: 0.2930 enc_loss_cls: 0.3349 enc_loss_bbox: 0.1669 enc_loss_iou: 0.3256 dn_loss_cls: 0.0714 dn_loss_bbox: 0.1449 dn_loss_iou: 0.2116 d0.dn_loss_cls: 0.1533 d0.dn_loss_bbox: 0.2890 d0.dn_loss_iou: 0.3552 d1.dn_loss_cls: 0.0999 d1.dn_loss_bbox: 0.1770 d1.dn_loss_iou: 0.2448 d2.dn_loss_cls: 0.0860 d2.dn_loss_bbox: 0.1519 d2.dn_loss_iou: 0.2194 d3.dn_loss_cls: 0.0746 d3.dn_loss_bbox: 0.1460 d3.dn_loss_iou: 0.2132 d4.dn_loss_cls: 0.0711 d4.dn_loss_bbox: 0.1451 d4.dn_loss_iou: 0.2117 d1.loss_lmm_region: 0.0853 loss_lmm_image: 0.6150 2024/11/04 06:45:43 - mmengine - INFO - Iter(train) [146300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:01:11 time: 0.9773 data_time: 0.0192 memory: 20184 grad_norm: 18.2636 loss: 7.8514 loss_cls: 0.2491 loss_bbox: 0.1118 loss_iou: 0.2143 d0.loss_cls: 0.2759 d0.loss_bbox: 0.1246 d0.loss_iou: 0.2291 d1.loss_cls: 0.2593 d1.loss_bbox: 0.1165 d1.loss_iou: 0.2209 d2.loss_cls: 0.2551 d2.loss_bbox: 0.1139 d2.loss_iou: 0.2172 d3.loss_cls: 0.2527 d3.loss_bbox: 0.1129 d3.loss_iou: 0.2150 d4.loss_cls: 0.2503 d4.loss_bbox: 0.1132 d4.loss_iou: 0.2141 enc_loss_cls: 0.2932 enc_loss_bbox: 0.1359 enc_loss_iou: 0.2434 dn_loss_cls: 0.0654 dn_loss_bbox: 0.1412 dn_loss_iou: 0.1966 d0.dn_loss_cls: 0.1624 d0.dn_loss_bbox: 0.2790 d0.dn_loss_iou: 0.3340 d1.dn_loss_cls: 0.1006 d1.dn_loss_bbox: 0.1711 d1.dn_loss_iou: 0.2266 d2.dn_loss_cls: 0.0830 d2.dn_loss_bbox: 0.1486 d2.dn_loss_iou: 0.2037 d3.dn_loss_cls: 0.0721 d3.dn_loss_bbox: 0.1424 d3.dn_loss_iou: 0.1976 d4.dn_loss_cls: 0.0668 d4.dn_loss_bbox: 0.1411 d4.dn_loss_iou: 0.1966 d1.loss_lmm_region: 0.1061 loss_lmm_image: 0.5982 2024/11/04 06:47:22 - mmengine - INFO - Iter(train) [146400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:59:32 time: 0.9857 data_time: 0.0192 memory: 21535 grad_norm: 19.6117 loss: 9.0221 loss_cls: 0.2900 loss_bbox: 0.1401 loss_iou: 0.2687 d0.loss_cls: 0.3173 d0.loss_bbox: 0.1541 d0.loss_iou: 0.2873 d1.loss_cls: 0.3012 d1.loss_bbox: 0.1465 d1.loss_iou: 0.2775 d2.loss_cls: 0.2918 d2.loss_bbox: 0.1450 d2.loss_iou: 0.2719 d3.loss_cls: 0.2889 d3.loss_bbox: 0.1440 d3.loss_iou: 0.2729 d4.loss_cls: 0.2901 d4.loss_bbox: 0.1399 d4.loss_iou: 0.2677 enc_loss_cls: 0.3356 enc_loss_bbox: 0.1684 enc_loss_iou: 0.3065 dn_loss_cls: 0.0674 dn_loss_bbox: 0.1610 dn_loss_iou: 0.2232 d0.dn_loss_cls: 0.1623 d0.dn_loss_bbox: 0.3063 d0.dn_loss_iou: 0.3662 d1.dn_loss_cls: 0.0970 d1.dn_loss_bbox: 0.1867 d1.dn_loss_iou: 0.2495 d2.dn_loss_cls: 0.0799 d2.dn_loss_bbox: 0.1642 d2.dn_loss_iou: 0.2273 d3.dn_loss_cls: 0.0714 d3.dn_loss_bbox: 0.1607 d3.dn_loss_iou: 0.2237 d4.dn_loss_cls: 0.0680 d4.dn_loss_bbox: 0.1610 d4.dn_loss_iou: 0.2233 d1.loss_lmm_region: 0.0867 loss_lmm_image: 0.6308 2024/11/04 06:48:59 - mmengine - INFO - Iter(train) [146500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:57:53 time: 0.9806 data_time: 0.0194 memory: 20984 grad_norm: 19.0214 loss: 8.2375 loss_cls: 0.2563 loss_bbox: 0.1358 loss_iou: 0.2344 d0.loss_cls: 0.2874 d0.loss_bbox: 0.1554 d0.loss_iou: 0.2560 d1.loss_cls: 0.2754 d1.loss_bbox: 0.1416 d1.loss_iou: 0.2408 d2.loss_cls: 0.2652 d2.loss_bbox: 0.1408 d2.loss_iou: 0.2386 d3.loss_cls: 0.2629 d3.loss_bbox: 0.1369 d3.loss_iou: 0.2337 d4.loss_cls: 0.2569 d4.loss_bbox: 0.1371 d4.loss_iou: 0.2341 enc_loss_cls: 0.3132 enc_loss_bbox: 0.1608 enc_loss_iou: 0.2669 dn_loss_cls: 0.0720 dn_loss_bbox: 0.1362 dn_loss_iou: 0.1860 d0.dn_loss_cls: 0.1510 d0.dn_loss_bbox: 0.2738 d0.dn_loss_iou: 0.3219 d1.dn_loss_cls: 0.0994 d1.dn_loss_bbox: 0.1632 d1.dn_loss_iou: 0.2144 d2.dn_loss_cls: 0.0832 d2.dn_loss_bbox: 0.1429 d2.dn_loss_iou: 0.1931 d3.dn_loss_cls: 0.0758 d3.dn_loss_bbox: 0.1369 d3.dn_loss_iou: 0.1868 d4.dn_loss_cls: 0.0718 d4.dn_loss_bbox: 0.1361 d4.dn_loss_iou: 0.1859 d1.loss_lmm_region: 0.0992 loss_lmm_image: 0.6783 2024/11/04 06:50:38 - mmengine - INFO - Iter(train) [146600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:56:13 time: 0.9844 data_time: 0.0195 memory: 20791 grad_norm: 20.6729 loss: 8.5611 loss_cls: 0.2661 loss_bbox: 0.1317 loss_iou: 0.2224 d0.loss_cls: 0.2912 d0.loss_bbox: 0.1518 d0.loss_iou: 0.2426 d1.loss_cls: 0.2800 d1.loss_bbox: 0.1401 d1.loss_iou: 0.2265 d2.loss_cls: 0.2731 d2.loss_bbox: 0.1351 d2.loss_iou: 0.2244 d3.loss_cls: 0.2702 d3.loss_bbox: 0.1327 d3.loss_iou: 0.2217 d4.loss_cls: 0.2654 d4.loss_bbox: 0.1319 d4.loss_iou: 0.2230 enc_loss_cls: 0.3209 enc_loss_bbox: 0.1599 enc_loss_iou: 0.2548 dn_loss_cls: 0.0778 dn_loss_bbox: 0.1650 dn_loss_iou: 0.2044 d0.dn_loss_cls: 0.1619 d0.dn_loss_bbox: 0.3298 d0.dn_loss_iou: 0.3509 d1.dn_loss_cls: 0.1117 d1.dn_loss_bbox: 0.1969 d1.dn_loss_iou: 0.2365 d2.dn_loss_cls: 0.0966 d2.dn_loss_bbox: 0.1756 d2.dn_loss_iou: 0.2134 d3.dn_loss_cls: 0.0858 d3.dn_loss_bbox: 0.1659 d3.dn_loss_iou: 0.2054 d4.dn_loss_cls: 0.0793 d4.dn_loss_bbox: 0.1651 d4.dn_loss_iou: 0.2043 d1.loss_lmm_region: 0.1000 loss_lmm_image: 0.6694 2024/11/04 06:52:16 - mmengine - INFO - Iter(train) [146700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:54:34 time: 0.9723 data_time: 0.0196 memory: 21314 grad_norm: 19.0113 loss: 7.6865 loss_cls: 0.2482 loss_bbox: 0.1140 loss_iou: 0.2301 d0.loss_cls: 0.2715 d0.loss_bbox: 0.1289 d0.loss_iou: 0.2522 d1.loss_cls: 0.2606 d1.loss_bbox: 0.1167 d1.loss_iou: 0.2377 d2.loss_cls: 0.2567 d2.loss_bbox: 0.1132 d2.loss_iou: 0.2302 d3.loss_cls: 0.2525 d3.loss_bbox: 0.1133 d3.loss_iou: 0.2296 d4.loss_cls: 0.2482 d4.loss_bbox: 0.1141 d4.loss_iou: 0.2308 enc_loss_cls: 0.2957 enc_loss_bbox: 0.1369 enc_loss_iou: 0.2637 dn_loss_cls: 0.0580 dn_loss_bbox: 0.1273 dn_loss_iou: 0.1765 d0.dn_loss_cls: 0.1320 d0.dn_loss_bbox: 0.2435 d0.dn_loss_iou: 0.3019 d1.dn_loss_cls: 0.0839 d1.dn_loss_bbox: 0.1520 d1.dn_loss_iou: 0.2035 d2.dn_loss_cls: 0.0707 d2.dn_loss_bbox: 0.1345 d2.dn_loss_iou: 0.1838 d3.dn_loss_cls: 0.0620 d3.dn_loss_bbox: 0.1284 d3.dn_loss_iou: 0.1778 d4.dn_loss_cls: 0.0586 d4.dn_loss_bbox: 0.1273 d4.dn_loss_iou: 0.1765 d1.loss_lmm_region: 0.0914 loss_lmm_image: 0.6518 2024/11/04 06:53:53 - mmengine - INFO - Iter(train) [146800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:52:55 time: 0.9753 data_time: 0.0193 memory: 20839 grad_norm: 18.2209 loss: 8.3438 loss_cls: 0.2668 loss_bbox: 0.1301 loss_iou: 0.2573 d0.loss_cls: 0.3029 d0.loss_bbox: 0.1407 d0.loss_iou: 0.2742 d1.loss_cls: 0.2874 d1.loss_bbox: 0.1310 d1.loss_iou: 0.2623 d2.loss_cls: 0.2771 d2.loss_bbox: 0.1300 d2.loss_iou: 0.2590 d3.loss_cls: 0.2761 d3.loss_bbox: 0.1280 d3.loss_iou: 0.2558 d4.loss_cls: 0.2662 d4.loss_bbox: 0.1321 d4.loss_iou: 0.2570 enc_loss_cls: 0.3251 enc_loss_bbox: 0.1530 enc_loss_iou: 0.2879 dn_loss_cls: 0.0690 dn_loss_bbox: 0.1390 dn_loss_iou: 0.1850 d0.dn_loss_cls: 0.1402 d0.dn_loss_bbox: 0.2639 d0.dn_loss_iou: 0.3162 d1.dn_loss_cls: 0.0923 d1.dn_loss_bbox: 0.1682 d1.dn_loss_iou: 0.2139 d2.dn_loss_cls: 0.0807 d2.dn_loss_bbox: 0.1456 d2.dn_loss_iou: 0.1916 d3.dn_loss_cls: 0.0727 d3.dn_loss_bbox: 0.1401 d3.dn_loss_iou: 0.1863 d4.dn_loss_cls: 0.0697 d4.dn_loss_bbox: 0.1389 d4.dn_loss_iou: 0.1850 d1.loss_lmm_region: 0.0991 loss_lmm_image: 0.6465 2024/11/04 06:55:32 - mmengine - INFO - Iter(train) [146900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:51:16 time: 0.9822 data_time: 0.0191 memory: 21106 grad_norm: 22.7877 loss: 8.6906 loss_cls: 0.2682 loss_bbox: 0.1299 loss_iou: 0.2685 d0.loss_cls: 0.2978 d0.loss_bbox: 0.1469 d0.loss_iou: 0.2825 d1.loss_cls: 0.2832 d1.loss_bbox: 0.1351 d1.loss_iou: 0.2755 d2.loss_cls: 0.2748 d2.loss_bbox: 0.1329 d2.loss_iou: 0.2725 d3.loss_cls: 0.2710 d3.loss_bbox: 0.1328 d3.loss_iou: 0.2707 d4.loss_cls: 0.2703 d4.loss_bbox: 0.1290 d4.loss_iou: 0.2671 enc_loss_cls: 0.3133 enc_loss_bbox: 0.1567 enc_loss_iou: 0.3034 dn_loss_cls: 0.0781 dn_loss_bbox: 0.1611 dn_loss_iou: 0.2023 d0.dn_loss_cls: 0.1479 d0.dn_loss_bbox: 0.2910 d0.dn_loss_iou: 0.3348 d1.dn_loss_cls: 0.1028 d1.dn_loss_bbox: 0.1879 d1.dn_loss_iou: 0.2312 d2.dn_loss_cls: 0.0909 d2.dn_loss_bbox: 0.1702 d2.dn_loss_iou: 0.2100 d3.dn_loss_cls: 0.0806 d3.dn_loss_bbox: 0.1632 d3.dn_loss_iou: 0.2041 d4.dn_loss_cls: 0.0790 d4.dn_loss_bbox: 0.1612 d4.dn_loss_iou: 0.2024 d1.loss_lmm_region: 0.0811 loss_lmm_image: 0.6285 2024/11/04 06:57:10 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 06:57:10 - mmengine - INFO - Iter(train) [147000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:49:36 time: 0.9759 data_time: 0.0195 memory: 22255 grad_norm: 20.1323 loss: 8.1086 loss_cls: 0.2554 loss_bbox: 0.1197 loss_iou: 0.2309 d0.loss_cls: 0.2889 d0.loss_bbox: 0.1382 d0.loss_iou: 0.2500 d1.loss_cls: 0.2725 d1.loss_bbox: 0.1215 d1.loss_iou: 0.2344 d2.loss_cls: 0.2672 d2.loss_bbox: 0.1191 d2.loss_iou: 0.2293 d3.loss_cls: 0.2598 d3.loss_bbox: 0.1203 d3.loss_iou: 0.2305 d4.loss_cls: 0.2566 d4.loss_bbox: 0.1197 d4.loss_iou: 0.2304 enc_loss_cls: 0.3066 enc_loss_bbox: 0.1442 enc_loss_iou: 0.2623 dn_loss_cls: 0.0630 dn_loss_bbox: 0.1605 dn_loss_iou: 0.1870 d0.dn_loss_cls: 0.1398 d0.dn_loss_bbox: 0.2888 d0.dn_loss_iou: 0.3163 d1.dn_loss_cls: 0.0876 d1.dn_loss_bbox: 0.1886 d1.dn_loss_iou: 0.2149 d2.dn_loss_cls: 0.0753 d2.dn_loss_bbox: 0.1677 d2.dn_loss_iou: 0.1941 d3.dn_loss_cls: 0.0665 d3.dn_loss_bbox: 0.1614 d3.dn_loss_iou: 0.1881 d4.dn_loss_cls: 0.0644 d4.dn_loss_bbox: 0.1606 d4.dn_loss_iou: 0.1870 d1.loss_lmm_region: 0.0879 loss_lmm_image: 0.6512 2024/11/04 06:58:48 - mmengine - INFO - Iter(train) [147100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:47:57 time: 0.9797 data_time: 0.0192 memory: 19993 grad_norm: 23.2651 loss: 7.5330 loss_cls: 0.2420 loss_bbox: 0.1011 loss_iou: 0.1947 d0.loss_cls: 0.2714 d0.loss_bbox: 0.1095 d0.loss_iou: 0.2074 d1.loss_cls: 0.2509 d1.loss_bbox: 0.1063 d1.loss_iou: 0.2012 d2.loss_cls: 0.2479 d2.loss_bbox: 0.1001 d2.loss_iou: 0.1934 d3.loss_cls: 0.2461 d3.loss_bbox: 0.1013 d3.loss_iou: 0.1935 d4.loss_cls: 0.2418 d4.loss_bbox: 0.1011 d4.loss_iou: 0.1946 enc_loss_cls: 0.2843 enc_loss_bbox: 0.1270 enc_loss_iou: 0.2274 dn_loss_cls: 0.0857 dn_loss_bbox: 0.1337 dn_loss_iou: 0.1766 d0.dn_loss_cls: 0.1588 d0.dn_loss_bbox: 0.2724 d0.dn_loss_iou: 0.3083 d1.dn_loss_cls: 0.1139 d1.dn_loss_bbox: 0.1666 d1.dn_loss_iou: 0.2072 d2.dn_loss_cls: 0.0972 d2.dn_loss_bbox: 0.1431 d2.dn_loss_iou: 0.1850 d3.dn_loss_cls: 0.0898 d3.dn_loss_bbox: 0.1353 d3.dn_loss_iou: 0.1781 d4.dn_loss_cls: 0.0862 d4.dn_loss_bbox: 0.1338 d4.dn_loss_iou: 0.1766 d1.loss_lmm_region: 0.1001 loss_lmm_image: 0.6420 2024/11/04 07:00:27 - mmengine - INFO - Iter(train) [147200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:46:18 time: 0.9837 data_time: 0.0193 memory: 20885 grad_norm: 20.5620 loss: 8.6467 loss_cls: 0.2625 loss_bbox: 0.1304 loss_iou: 0.2264 d0.loss_cls: 0.2879 d0.loss_bbox: 0.1543 d0.loss_iou: 0.2447 d1.loss_cls: 0.2719 d1.loss_bbox: 0.1420 d1.loss_iou: 0.2345 d2.loss_cls: 0.2697 d2.loss_bbox: 0.1323 d2.loss_iou: 0.2292 d3.loss_cls: 0.2682 d3.loss_bbox: 0.1303 d3.loss_iou: 0.2254 d4.loss_cls: 0.2632 d4.loss_bbox: 0.1310 d4.loss_iou: 0.2268 enc_loss_cls: 0.3100 enc_loss_bbox: 0.1572 enc_loss_iou: 0.2568 dn_loss_cls: 0.0803 dn_loss_bbox: 0.1675 dn_loss_iou: 0.2183 d0.dn_loss_cls: 0.1697 d0.dn_loss_bbox: 0.3224 d0.dn_loss_iou: 0.3639 d1.dn_loss_cls: 0.1137 d1.dn_loss_bbox: 0.2002 d1.dn_loss_iou: 0.2488 d2.dn_loss_cls: 0.0960 d2.dn_loss_bbox: 0.1757 d2.dn_loss_iou: 0.2264 d3.dn_loss_cls: 0.0870 d3.dn_loss_bbox: 0.1688 d3.dn_loss_iou: 0.2192 d4.dn_loss_cls: 0.0830 d4.dn_loss_bbox: 0.1675 d4.dn_loss_iou: 0.2182 d1.loss_lmm_region: 0.1134 loss_lmm_image: 0.6521 2024/11/04 07:02:05 - mmengine - INFO - Iter(train) [147300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:44:39 time: 0.9716 data_time: 0.0192 memory: 20154 grad_norm: 19.5439 loss: 10.0467 loss_cls: 0.3079 loss_bbox: 0.1676 loss_iou: 0.2990 d0.loss_cls: 0.3500 d0.loss_bbox: 0.1860 d0.loss_iou: 0.3206 d1.loss_cls: 0.3309 d1.loss_bbox: 0.1775 d1.loss_iou: 0.3083 d2.loss_cls: 0.3211 d2.loss_bbox: 0.1717 d2.loss_iou: 0.3057 d3.loss_cls: 0.3179 d3.loss_bbox: 0.1692 d3.loss_iou: 0.2994 d4.loss_cls: 0.3091 d4.loss_bbox: 0.1693 d4.loss_iou: 0.2966 enc_loss_cls: 0.3715 enc_loss_bbox: 0.1955 enc_loss_iou: 0.3404 dn_loss_cls: 0.0711 dn_loss_bbox: 0.1915 dn_loss_iou: 0.2418 d0.dn_loss_cls: 0.1620 d0.dn_loss_bbox: 0.3401 d0.dn_loss_iou: 0.3934 d1.dn_loss_cls: 0.1086 d1.dn_loss_bbox: 0.2279 d1.dn_loss_iou: 0.2779 d2.dn_loss_cls: 0.0887 d2.dn_loss_bbox: 0.2006 d2.dn_loss_iou: 0.2506 d3.dn_loss_cls: 0.0776 d3.dn_loss_bbox: 0.1930 d3.dn_loss_iou: 0.2434 d4.dn_loss_cls: 0.0717 d4.dn_loss_bbox: 0.1915 d4.dn_loss_iou: 0.2417 d1.loss_lmm_region: 0.1004 loss_lmm_image: 0.6576 2024/11/04 07:03:43 - mmengine - INFO - Iter(train) [147400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:42:59 time: 0.9819 data_time: 0.0192 memory: 20968 grad_norm: 18.7026 loss: 8.2389 loss_cls: 0.2537 loss_bbox: 0.1187 loss_iou: 0.2299 d0.loss_cls: 0.2877 d0.loss_bbox: 0.1355 d0.loss_iou: 0.2471 d1.loss_cls: 0.2763 d1.loss_bbox: 0.1201 d1.loss_iou: 0.2291 d2.loss_cls: 0.2703 d2.loss_bbox: 0.1179 d2.loss_iou: 0.2273 d3.loss_cls: 0.2636 d3.loss_bbox: 0.1191 d3.loss_iou: 0.2289 d4.loss_cls: 0.2558 d4.loss_bbox: 0.1188 d4.loss_iou: 0.2301 enc_loss_cls: 0.3052 enc_loss_bbox: 0.1512 enc_loss_iou: 0.2645 dn_loss_cls: 0.0871 dn_loss_bbox: 0.1408 dn_loss_iou: 0.1925 d0.dn_loss_cls: 0.1717 d0.dn_loss_bbox: 0.2931 d0.dn_loss_iou: 0.3339 d1.dn_loss_cls: 0.1199 d1.dn_loss_bbox: 0.1766 d1.dn_loss_iou: 0.2256 d2.dn_loss_cls: 0.1019 d2.dn_loss_bbox: 0.1490 d2.dn_loss_iou: 0.2017 d3.dn_loss_cls: 0.0926 d3.dn_loss_bbox: 0.1420 d3.dn_loss_iou: 0.1937 d4.dn_loss_cls: 0.0871 d4.dn_loss_bbox: 0.1408 d4.dn_loss_iou: 0.1926 d1.loss_lmm_region: 0.0994 loss_lmm_image: 0.6463 2024/11/04 07:05:21 - mmengine - INFO - Iter(train) [147500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:41:20 time: 0.9859 data_time: 0.0193 memory: 21568 grad_norm: 18.2336 loss: 8.4053 loss_cls: 0.2547 loss_bbox: 0.1211 loss_iou: 0.2380 d0.loss_cls: 0.2808 d0.loss_bbox: 0.1393 d0.loss_iou: 0.2552 d1.loss_cls: 0.2679 d1.loss_bbox: 0.1321 d1.loss_iou: 0.2493 d2.loss_cls: 0.2666 d2.loss_bbox: 0.1223 d2.loss_iou: 0.2394 d3.loss_cls: 0.2638 d3.loss_bbox: 0.1213 d3.loss_iou: 0.2375 d4.loss_cls: 0.2567 d4.loss_bbox: 0.1208 d4.loss_iou: 0.2374 enc_loss_cls: 0.3016 enc_loss_bbox: 0.1524 enc_loss_iou: 0.2724 dn_loss_cls: 0.0656 dn_loss_bbox: 0.1631 dn_loss_iou: 0.2164 d0.dn_loss_cls: 0.1576 d0.dn_loss_bbox: 0.3084 d0.dn_loss_iou: 0.3591 d1.dn_loss_cls: 0.0988 d1.dn_loss_bbox: 0.1946 d1.dn_loss_iou: 0.2479 d2.dn_loss_cls: 0.0820 d2.dn_loss_bbox: 0.1721 d2.dn_loss_iou: 0.2247 d3.dn_loss_cls: 0.0726 d3.dn_loss_bbox: 0.1645 d3.dn_loss_iou: 0.2175 d4.dn_loss_cls: 0.0665 d4.dn_loss_bbox: 0.1631 d4.dn_loss_iou: 0.2163 d1.loss_lmm_region: 0.0909 loss_lmm_image: 0.5930 2024/11/04 07:06:59 - mmengine - INFO - Iter(train) [147600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:39:41 time: 0.9788 data_time: 0.0193 memory: 20868 grad_norm: 19.1633 loss: 8.8483 loss_cls: 0.2803 loss_bbox: 0.1386 loss_iou: 0.2482 d0.loss_cls: 0.3103 d0.loss_bbox: 0.1529 d0.loss_iou: 0.2662 d1.loss_cls: 0.2927 d1.loss_bbox: 0.1440 d1.loss_iou: 0.2537 d2.loss_cls: 0.2888 d2.loss_bbox: 0.1380 d2.loss_iou: 0.2488 d3.loss_cls: 0.2876 d3.loss_bbox: 0.1386 d3.loss_iou: 0.2520 d4.loss_cls: 0.2825 d4.loss_bbox: 0.1394 d4.loss_iou: 0.2491 enc_loss_cls: 0.3318 enc_loss_bbox: 0.1662 enc_loss_iou: 0.2845 dn_loss_cls: 0.0715 dn_loss_bbox: 0.1684 dn_loss_iou: 0.2168 d0.dn_loss_cls: 0.1596 d0.dn_loss_bbox: 0.3182 d0.dn_loss_iou: 0.3631 d1.dn_loss_cls: 0.1017 d1.dn_loss_bbox: 0.2019 d1.dn_loss_iou: 0.2479 d2.dn_loss_cls: 0.0854 d2.dn_loss_bbox: 0.1751 d2.dn_loss_iou: 0.2239 d3.dn_loss_cls: 0.0770 d3.dn_loss_bbox: 0.1697 d3.dn_loss_iou: 0.2179 d4.dn_loss_cls: 0.0726 d4.dn_loss_bbox: 0.1682 d4.dn_loss_iou: 0.2168 d1.loss_lmm_region: 0.1035 loss_lmm_image: 0.5950 2024/11/04 07:08:37 - mmengine - INFO - Iter(train) [147700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:38:02 time: 0.9750 data_time: 0.0193 memory: 21548 grad_norm: 20.9266 loss: 8.7601 loss_cls: 0.2853 loss_bbox: 0.1279 loss_iou: 0.2581 d0.loss_cls: 0.3254 d0.loss_bbox: 0.1345 d0.loss_iou: 0.2676 d1.loss_cls: 0.3028 d1.loss_bbox: 0.1278 d1.loss_iou: 0.2617 d2.loss_cls: 0.2997 d2.loss_bbox: 0.1267 d2.loss_iou: 0.2568 d3.loss_cls: 0.2942 d3.loss_bbox: 0.1262 d3.loss_iou: 0.2556 d4.loss_cls: 0.2860 d4.loss_bbox: 0.1282 d4.loss_iou: 0.2580 enc_loss_cls: 0.3371 enc_loss_bbox: 0.1454 enc_loss_iou: 0.2850 dn_loss_cls: 0.0768 dn_loss_bbox: 0.1490 dn_loss_iou: 0.2128 d0.dn_loss_cls: 0.1678 d0.dn_loss_bbox: 0.3017 d0.dn_loss_iou: 0.3547 d1.dn_loss_cls: 0.1083 d1.dn_loss_bbox: 0.1752 d1.dn_loss_iou: 0.2404 d2.dn_loss_cls: 0.0910 d2.dn_loss_bbox: 0.1561 d2.dn_loss_iou: 0.2199 d3.dn_loss_cls: 0.0812 d3.dn_loss_bbox: 0.1500 d3.dn_loss_iou: 0.2138 d4.dn_loss_cls: 0.0775 d4.dn_loss_bbox: 0.1491 d4.dn_loss_iou: 0.2128 d1.loss_lmm_region: 0.1126 loss_lmm_image: 0.6197 2024/11/04 07:10:15 - mmengine - INFO - Iter(train) [147800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:36:22 time: 0.9719 data_time: 0.0195 memory: 20899 grad_norm: 18.7427 loss: 9.3489 loss_cls: 0.2624 loss_bbox: 0.1648 loss_iou: 0.2802 d0.loss_cls: 0.2986 d0.loss_bbox: 0.1801 d0.loss_iou: 0.2980 d1.loss_cls: 0.2841 d1.loss_bbox: 0.1687 d1.loss_iou: 0.2880 d2.loss_cls: 0.2742 d2.loss_bbox: 0.1668 d2.loss_iou: 0.2834 d3.loss_cls: 0.2717 d3.loss_bbox: 0.1627 d3.loss_iou: 0.2792 d4.loss_cls: 0.2631 d4.loss_bbox: 0.1658 d4.loss_iou: 0.2813 enc_loss_cls: 0.3257 enc_loss_bbox: 0.1892 enc_loss_iou: 0.3117 dn_loss_cls: 0.0716 dn_loss_bbox: 0.1875 dn_loss_iou: 0.2232 d0.dn_loss_cls: 0.1605 d0.dn_loss_bbox: 0.3393 d0.dn_loss_iou: 0.3728 d1.dn_loss_cls: 0.1017 d1.dn_loss_bbox: 0.2186 d1.dn_loss_iou: 0.2541 d2.dn_loss_cls: 0.0848 d2.dn_loss_bbox: 0.1946 d2.dn_loss_iou: 0.2315 d3.dn_loss_cls: 0.0774 d3.dn_loss_bbox: 0.1880 d3.dn_loss_iou: 0.2246 d4.dn_loss_cls: 0.0721 d4.dn_loss_bbox: 0.1876 d4.dn_loss_iou: 0.2234 d1.loss_lmm_region: 0.1064 loss_lmm_image: 0.6297 2024/11/04 07:11:52 - mmengine - INFO - Iter(train) [147900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:34:43 time: 0.9698 data_time: 0.0195 memory: 20772 grad_norm: 22.3476 loss: 9.5749 loss_cls: 0.3211 loss_bbox: 0.1542 loss_iou: 0.2918 d0.loss_cls: 0.3577 d0.loss_bbox: 0.1790 d0.loss_iou: 0.3186 d1.loss_cls: 0.3521 d1.loss_bbox: 0.1573 d1.loss_iou: 0.2963 d2.loss_cls: 0.3335 d2.loss_bbox: 0.1579 d2.loss_iou: 0.2932 d3.loss_cls: 0.3293 d3.loss_bbox: 0.1547 d3.loss_iou: 0.2931 d4.loss_cls: 0.3204 d4.loss_bbox: 0.1553 d4.loss_iou: 0.2919 enc_loss_cls: 0.3784 enc_loss_bbox: 0.1850 enc_loss_iou: 0.3323 dn_loss_cls: 0.0647 dn_loss_bbox: 0.1690 dn_loss_iou: 0.2147 d0.dn_loss_cls: 0.1564 d0.dn_loss_bbox: 0.3197 d0.dn_loss_iou: 0.3639 d1.dn_loss_cls: 0.0968 d1.dn_loss_bbox: 0.2060 d1.dn_loss_iou: 0.2463 d2.dn_loss_cls: 0.0801 d2.dn_loss_bbox: 0.1814 d2.dn_loss_iou: 0.2234 d3.dn_loss_cls: 0.0701 d3.dn_loss_bbox: 0.1710 d3.dn_loss_iou: 0.2168 d4.dn_loss_cls: 0.0655 d4.dn_loss_bbox: 0.1692 d4.dn_loss_iou: 0.2148 d1.loss_lmm_region: 0.0932 loss_lmm_image: 0.5993 2024/11/04 07:13:30 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 07:13:30 - mmengine - INFO - Iter(train) [148000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:33:04 time: 0.9823 data_time: 0.0192 memory: 21403 grad_norm: 18.4181 loss: 8.2931 loss_cls: 0.2530 loss_bbox: 0.1262 loss_iou: 0.2541 d0.loss_cls: 0.2900 d0.loss_bbox: 0.1374 d0.loss_iou: 0.2721 d1.loss_cls: 0.2718 d1.loss_bbox: 0.1311 d1.loss_iou: 0.2600 d2.loss_cls: 0.2633 d2.loss_bbox: 0.1298 d2.loss_iou: 0.2575 d3.loss_cls: 0.2560 d3.loss_bbox: 0.1284 d3.loss_iou: 0.2558 d4.loss_cls: 0.2529 d4.loss_bbox: 0.1269 d4.loss_iou: 0.2550 enc_loss_cls: 0.3107 enc_loss_bbox: 0.1468 enc_loss_iou: 0.2825 dn_loss_cls: 0.0605 dn_loss_bbox: 0.1322 dn_loss_iou: 0.2058 d0.dn_loss_cls: 0.1490 d0.dn_loss_bbox: 0.2689 d0.dn_loss_iou: 0.3475 d1.dn_loss_cls: 0.0894 d1.dn_loss_bbox: 0.1606 d1.dn_loss_iou: 0.2347 d2.dn_loss_cls: 0.0727 d2.dn_loss_bbox: 0.1398 d2.dn_loss_iou: 0.2137 d3.dn_loss_cls: 0.0653 d3.dn_loss_bbox: 0.1334 d3.dn_loss_iou: 0.2069 d4.dn_loss_cls: 0.0607 d4.dn_loss_bbox: 0.1322 d4.dn_loss_iou: 0.2057 d1.loss_lmm_region: 0.0855 loss_lmm_image: 0.6675 2024/11/04 07:15:07 - mmengine - INFO - Iter(train) [148100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:31:25 time: 0.9603 data_time: 0.0193 memory: 20778 grad_norm: 20.1686 loss: 8.9104 loss_cls: 0.2741 loss_bbox: 0.1296 loss_iou: 0.2517 d0.loss_cls: 0.3133 d0.loss_bbox: 0.1378 d0.loss_iou: 0.2635 d1.loss_cls: 0.2953 d1.loss_bbox: 0.1276 d1.loss_iou: 0.2543 d2.loss_cls: 0.2890 d2.loss_bbox: 0.1248 d2.loss_iou: 0.2493 d3.loss_cls: 0.2821 d3.loss_bbox: 0.1275 d3.loss_iou: 0.2500 d4.loss_cls: 0.2755 d4.loss_bbox: 0.1294 d4.loss_iou: 0.2512 enc_loss_cls: 0.3409 enc_loss_bbox: 0.1471 enc_loss_iou: 0.2755 dn_loss_cls: 0.0692 dn_loss_bbox: 0.1690 dn_loss_iou: 0.2318 d0.dn_loss_cls: 0.1585 d0.dn_loss_bbox: 0.3382 d0.dn_loss_iou: 0.3903 d1.dn_loss_cls: 0.1022 d1.dn_loss_bbox: 0.2028 d1.dn_loss_iou: 0.2645 d2.dn_loss_cls: 0.0865 d2.dn_loss_bbox: 0.1795 d2.dn_loss_iou: 0.2416 d3.dn_loss_cls: 0.0726 d3.dn_loss_bbox: 0.1703 d3.dn_loss_iou: 0.2333 d4.dn_loss_cls: 0.0698 d4.dn_loss_bbox: 0.1690 d4.dn_loss_iou: 0.2319 d1.loss_lmm_region: 0.1012 loss_lmm_image: 0.6383 2024/11/04 07:16:46 - mmengine - INFO - Iter(train) [148200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:29:45 time: 0.9833 data_time: 0.0192 memory: 20405 grad_norm: 21.2768 loss: 10.2436 loss_cls: 0.3007 loss_bbox: 0.1793 loss_iou: 0.3266 d0.loss_cls: 0.3403 d0.loss_bbox: 0.1996 d0.loss_iou: 0.3487 d1.loss_cls: 0.3274 d1.loss_bbox: 0.1802 d1.loss_iou: 0.3292 d2.loss_cls: 0.3191 d2.loss_bbox: 0.1778 d2.loss_iou: 0.3254 d3.loss_cls: 0.3106 d3.loss_bbox: 0.1757 d3.loss_iou: 0.3234 d4.loss_cls: 0.3046 d4.loss_bbox: 0.1767 d4.loss_iou: 0.3249 enc_loss_cls: 0.3613 enc_loss_bbox: 0.2084 enc_loss_iou: 0.3600 dn_loss_cls: 0.0801 dn_loss_bbox: 0.1840 dn_loss_iou: 0.2514 d0.dn_loss_cls: 0.1762 d0.dn_loss_bbox: 0.3223 d0.dn_loss_iou: 0.3966 d1.dn_loss_cls: 0.1210 d1.dn_loss_bbox: 0.2110 d1.dn_loss_iou: 0.2799 d2.dn_loss_cls: 0.1027 d2.dn_loss_bbox: 0.1905 d2.dn_loss_iou: 0.2575 d3.dn_loss_cls: 0.0890 d3.dn_loss_bbox: 0.1836 d3.dn_loss_iou: 0.2518 d4.dn_loss_cls: 0.0807 d4.dn_loss_bbox: 0.1840 d4.dn_loss_iou: 0.2514 d1.loss_lmm_region: 0.1287 loss_lmm_image: 0.6011 2024/11/04 07:18:24 - mmengine - INFO - Iter(train) [148300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:28:06 time: 0.9818 data_time: 0.0193 memory: 20543 grad_norm: 18.6084 loss: 9.3332 loss_cls: 0.2794 loss_bbox: 0.1614 loss_iou: 0.2805 d0.loss_cls: 0.3112 d0.loss_bbox: 0.1878 d0.loss_iou: 0.2988 d1.loss_cls: 0.3008 d1.loss_bbox: 0.1677 d1.loss_iou: 0.2840 d2.loss_cls: 0.2943 d2.loss_bbox: 0.1618 d2.loss_iou: 0.2789 d3.loss_cls: 0.2822 d3.loss_bbox: 0.1645 d3.loss_iou: 0.2804 d4.loss_cls: 0.2808 d4.loss_bbox: 0.1622 d4.loss_iou: 0.2793 enc_loss_cls: 0.3331 enc_loss_bbox: 0.1955 enc_loss_iou: 0.3192 dn_loss_cls: 0.0603 dn_loss_bbox: 0.1708 dn_loss_iou: 0.2261 d0.dn_loss_cls: 0.1539 d0.dn_loss_bbox: 0.3319 d0.dn_loss_iou: 0.3773 d1.dn_loss_cls: 0.0938 d1.dn_loss_bbox: 0.2027 d1.dn_loss_iou: 0.2577 d2.dn_loss_cls: 0.0742 d2.dn_loss_bbox: 0.1802 d2.dn_loss_iou: 0.2347 d3.dn_loss_cls: 0.0648 d3.dn_loss_bbox: 0.1718 d3.dn_loss_iou: 0.2273 d4.dn_loss_cls: 0.0615 d4.dn_loss_bbox: 0.1710 d4.dn_loss_iou: 0.2262 d1.loss_lmm_region: 0.1040 loss_lmm_image: 0.6392 2024/11/04 07:20:03 - mmengine - INFO - Iter(train) [148400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:26:27 time: 0.9941 data_time: 0.0192 memory: 20975 grad_norm: 18.4516 loss: 9.1384 loss_cls: 0.2858 loss_bbox: 0.1401 loss_iou: 0.3001 d0.loss_cls: 0.3261 d0.loss_bbox: 0.1562 d0.loss_iou: 0.3195 d1.loss_cls: 0.3077 d1.loss_bbox: 0.1429 d1.loss_iou: 0.3033 d2.loss_cls: 0.3014 d2.loss_bbox: 0.1394 d2.loss_iou: 0.3016 d3.loss_cls: 0.2944 d3.loss_bbox: 0.1397 d3.loss_iou: 0.3020 d4.loss_cls: 0.2862 d4.loss_bbox: 0.1395 d4.loss_iou: 0.3008 enc_loss_cls: 0.3506 enc_loss_bbox: 0.1637 enc_loss_iou: 0.3355 dn_loss_cls: 0.0703 dn_loss_bbox: 0.1417 dn_loss_iou: 0.2159 d0.dn_loss_cls: 0.1459 d0.dn_loss_bbox: 0.2770 d0.dn_loss_iou: 0.3556 d1.dn_loss_cls: 0.0971 d1.dn_loss_bbox: 0.1733 d1.dn_loss_iou: 0.2464 d2.dn_loss_cls: 0.0838 d2.dn_loss_bbox: 0.1506 d2.dn_loss_iou: 0.2246 d3.dn_loss_cls: 0.0760 d3.dn_loss_bbox: 0.1438 d3.dn_loss_iou: 0.2181 d4.dn_loss_cls: 0.0720 d4.dn_loss_bbox: 0.1417 d4.dn_loss_iou: 0.2161 d1.loss_lmm_region: 0.0823 loss_lmm_image: 0.6697 2024/11/04 07:21:41 - mmengine - INFO - Iter(train) [148500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:24:48 time: 0.9907 data_time: 0.0193 memory: 20530 grad_norm: 19.3127 loss: 8.4776 loss_cls: 0.2627 loss_bbox: 0.1259 loss_iou: 0.2263 d0.loss_cls: 0.2958 d0.loss_bbox: 0.1377 d0.loss_iou: 0.2371 d1.loss_cls: 0.2763 d1.loss_bbox: 0.1323 d1.loss_iou: 0.2313 d2.loss_cls: 0.2686 d2.loss_bbox: 0.1301 d2.loss_iou: 0.2301 d3.loss_cls: 0.2675 d3.loss_bbox: 0.1249 d3.loss_iou: 0.2276 d4.loss_cls: 0.2647 d4.loss_bbox: 0.1246 d4.loss_iou: 0.2257 enc_loss_cls: 0.3197 enc_loss_bbox: 0.1493 enc_loss_iou: 0.2529 dn_loss_cls: 0.0881 dn_loss_bbox: 0.1456 dn_loss_iou: 0.2096 d0.dn_loss_cls: 0.1965 d0.dn_loss_bbox: 0.2960 d0.dn_loss_iou: 0.3536 d1.dn_loss_cls: 0.1282 d1.dn_loss_bbox: 0.1754 d1.dn_loss_iou: 0.2390 d2.dn_loss_cls: 0.1079 d2.dn_loss_bbox: 0.1519 d2.dn_loss_iou: 0.2166 d3.dn_loss_cls: 0.0936 d3.dn_loss_bbox: 0.1461 d3.dn_loss_iou: 0.2106 d4.dn_loss_cls: 0.0882 d4.dn_loss_bbox: 0.1458 d4.dn_loss_iou: 0.2097 d1.loss_lmm_region: 0.1102 loss_lmm_image: 0.6539 2024/11/04 07:23:20 - mmengine - INFO - Iter(train) [148600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:23:09 time: 0.9831 data_time: 0.0193 memory: 20978 grad_norm: 20.2310 loss: 8.2067 loss_cls: 0.2776 loss_bbox: 0.1276 loss_iou: 0.2357 d0.loss_cls: 0.3030 d0.loss_bbox: 0.1399 d0.loss_iou: 0.2486 d1.loss_cls: 0.2897 d1.loss_bbox: 0.1326 d1.loss_iou: 0.2394 d2.loss_cls: 0.2863 d2.loss_bbox: 0.1301 d2.loss_iou: 0.2367 d3.loss_cls: 0.2792 d3.loss_bbox: 0.1276 d3.loss_iou: 0.2365 d4.loss_cls: 0.2772 d4.loss_bbox: 0.1271 d4.loss_iou: 0.2355 enc_loss_cls: 0.3183 enc_loss_bbox: 0.1553 enc_loss_iou: 0.2730 dn_loss_cls: 0.0623 dn_loss_bbox: 0.1340 dn_loss_iou: 0.1880 d0.dn_loss_cls: 0.1453 d0.dn_loss_bbox: 0.2715 d0.dn_loss_iou: 0.3343 d1.dn_loss_cls: 0.0930 d1.dn_loss_bbox: 0.1652 d1.dn_loss_iou: 0.2210 d2.dn_loss_cls: 0.0751 d2.dn_loss_bbox: 0.1425 d2.dn_loss_iou: 0.1975 d3.dn_loss_cls: 0.0683 d3.dn_loss_bbox: 0.1363 d3.dn_loss_iou: 0.1900 d4.dn_loss_cls: 0.0634 d4.dn_loss_bbox: 0.1341 d4.dn_loss_iou: 0.1879 d1.loss_lmm_region: 0.0889 loss_lmm_image: 0.6310 2024/11/04 07:24:58 - mmengine - INFO - Iter(train) [148700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:21:29 time: 0.9828 data_time: 0.0194 memory: 21827 grad_norm: 19.4152 loss: 8.8739 loss_cls: 0.2905 loss_bbox: 0.1351 loss_iou: 0.2550 d0.loss_cls: 0.3187 d0.loss_bbox: 0.1484 d0.loss_iou: 0.2693 d1.loss_cls: 0.3099 d1.loss_bbox: 0.1365 d1.loss_iou: 0.2584 d2.loss_cls: 0.3013 d2.loss_bbox: 0.1342 d2.loss_iou: 0.2556 d3.loss_cls: 0.3006 d3.loss_bbox: 0.1299 d3.loss_iou: 0.2522 d4.loss_cls: 0.2924 d4.loss_bbox: 0.1342 d4.loss_iou: 0.2549 enc_loss_cls: 0.3537 enc_loss_bbox: 0.1572 enc_loss_iou: 0.2881 dn_loss_cls: 0.0761 dn_loss_bbox: 0.1507 dn_loss_iou: 0.2077 d0.dn_loss_cls: 0.1564 d0.dn_loss_bbox: 0.2942 d0.dn_loss_iou: 0.3583 d1.dn_loss_cls: 0.1038 d1.dn_loss_bbox: 0.1866 d1.dn_loss_iou: 0.2414 d2.dn_loss_cls: 0.0874 d2.dn_loss_bbox: 0.1602 d2.dn_loss_iou: 0.2164 d3.dn_loss_cls: 0.0816 d3.dn_loss_bbox: 0.1528 d3.dn_loss_iou: 0.2093 d4.dn_loss_cls: 0.0771 d4.dn_loss_bbox: 0.1506 d4.dn_loss_iou: 0.2078 d1.loss_lmm_region: 0.0936 loss_lmm_image: 0.6855 2024/11/04 07:26:36 - mmengine - INFO - Iter(train) [148800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:19:50 time: 0.9800 data_time: 0.0193 memory: 21917 grad_norm: 23.0160 loss: 8.0342 loss_cls: 0.2663 loss_bbox: 0.1160 loss_iou: 0.2517 d0.loss_cls: 0.2984 d0.loss_bbox: 0.1303 d0.loss_iou: 0.2655 d1.loss_cls: 0.2873 d1.loss_bbox: 0.1205 d1.loss_iou: 0.2545 d2.loss_cls: 0.2787 d2.loss_bbox: 0.1199 d2.loss_iou: 0.2529 d3.loss_cls: 0.2699 d3.loss_bbox: 0.1167 d3.loss_iou: 0.2527 d4.loss_cls: 0.2660 d4.loss_bbox: 0.1173 d4.loss_iou: 0.2528 enc_loss_cls: 0.3158 enc_loss_bbox: 0.1367 enc_loss_iou: 0.2811 dn_loss_cls: 0.0590 dn_loss_bbox: 0.1209 dn_loss_iou: 0.1872 d0.dn_loss_cls: 0.1375 d0.dn_loss_bbox: 0.2530 d0.dn_loss_iou: 0.3205 d1.dn_loss_cls: 0.0898 d1.dn_loss_bbox: 0.1482 d1.dn_loss_iou: 0.2160 d2.dn_loss_cls: 0.0753 d2.dn_loss_bbox: 0.1317 d2.dn_loss_iou: 0.1958 d3.dn_loss_cls: 0.0629 d3.dn_loss_bbox: 0.1223 d3.dn_loss_iou: 0.1882 d4.dn_loss_cls: 0.0596 d4.dn_loss_bbox: 0.1208 d4.dn_loss_iou: 0.1873 d1.loss_lmm_region: 0.0792 loss_lmm_image: 0.6282 2024/11/04 07:28:15 - mmengine - INFO - Iter(train) [148900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:18:11 time: 0.9772 data_time: 0.0193 memory: 21419 grad_norm: 20.1823 loss: 9.3134 loss_cls: 0.3138 loss_bbox: 0.1476 loss_iou: 0.3085 d0.loss_cls: 0.3431 d0.loss_bbox: 0.1620 d0.loss_iou: 0.3342 d1.loss_cls: 0.3285 d1.loss_bbox: 0.1526 d1.loss_iou: 0.3149 d2.loss_cls: 0.3234 d2.loss_bbox: 0.1486 d2.loss_iou: 0.3097 d3.loss_cls: 0.3197 d3.loss_bbox: 0.1474 d3.loss_iou: 0.3095 d4.loss_cls: 0.3152 d4.loss_bbox: 0.1474 d4.loss_iou: 0.3085 enc_loss_cls: 0.3631 enc_loss_bbox: 0.1732 enc_loss_iou: 0.3478 dn_loss_cls: 0.0613 dn_loss_bbox: 0.1304 dn_loss_iou: 0.2206 d0.dn_loss_cls: 0.1470 d0.dn_loss_bbox: 0.2498 d0.dn_loss_iou: 0.3602 d1.dn_loss_cls: 0.0912 d1.dn_loss_bbox: 0.1571 d1.dn_loss_iou: 0.2505 d2.dn_loss_cls: 0.0742 d2.dn_loss_bbox: 0.1385 d2.dn_loss_iou: 0.2282 d3.dn_loss_cls: 0.0670 d3.dn_loss_bbox: 0.1316 d3.dn_loss_iou: 0.2218 d4.dn_loss_cls: 0.0620 d4.dn_loss_bbox: 0.1303 d4.dn_loss_iou: 0.2204 d1.loss_lmm_region: 0.1030 loss_lmm_image: 0.6496 2024/11/04 07:29:52 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 07:29:52 - mmengine - INFO - Iter(train) [149000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:16:32 time: 0.9628 data_time: 0.0192 memory: 20808 grad_norm: 19.0283 loss: 8.2868 loss_cls: 0.2419 loss_bbox: 0.1266 loss_iou: 0.2394 d0.loss_cls: 0.2714 d0.loss_bbox: 0.1366 d0.loss_iou: 0.2524 d1.loss_cls: 0.2537 d1.loss_bbox: 0.1318 d1.loss_iou: 0.2480 d2.loss_cls: 0.2454 d2.loss_bbox: 0.1317 d2.loss_iou: 0.2457 d3.loss_cls: 0.2430 d3.loss_bbox: 0.1288 d3.loss_iou: 0.2411 d4.loss_cls: 0.2437 d4.loss_bbox: 0.1271 d4.loss_iou: 0.2394 enc_loss_cls: 0.2770 enc_loss_bbox: 0.1483 enc_loss_iou: 0.2666 dn_loss_cls: 0.0702 dn_loss_bbox: 0.1534 dn_loss_iou: 0.2152 d0.dn_loss_cls: 0.1464 d0.dn_loss_bbox: 0.2834 d0.dn_loss_iou: 0.3540 d1.dn_loss_cls: 0.0976 d1.dn_loss_bbox: 0.1775 d1.dn_loss_iou: 0.2453 d2.dn_loss_cls: 0.0827 d2.dn_loss_bbox: 0.1612 d2.dn_loss_iou: 0.2233 d3.dn_loss_cls: 0.0734 d3.dn_loss_bbox: 0.1545 d3.dn_loss_iou: 0.2163 d4.dn_loss_cls: 0.0702 d4.dn_loss_bbox: 0.1534 d4.dn_loss_iou: 0.2152 d1.loss_lmm_region: 0.0890 loss_lmm_image: 0.6651 2024/11/04 07:31:29 - mmengine - INFO - Iter(train) [149100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:14:52 time: 0.9753 data_time: 0.0193 memory: 21456 grad_norm: 20.5980 loss: 8.1880 loss_cls: 0.2502 loss_bbox: 0.1154 loss_iou: 0.2207 d0.loss_cls: 0.2694 d0.loss_bbox: 0.1310 d0.loss_iou: 0.2369 d1.loss_cls: 0.2627 d1.loss_bbox: 0.1185 d1.loss_iou: 0.2256 d2.loss_cls: 0.2591 d2.loss_bbox: 0.1154 d2.loss_iou: 0.2196 d3.loss_cls: 0.2511 d3.loss_bbox: 0.1178 d3.loss_iou: 0.2220 d4.loss_cls: 0.2515 d4.loss_bbox: 0.1155 d4.loss_iou: 0.2203 enc_loss_cls: 0.2921 enc_loss_bbox: 0.1398 enc_loss_iou: 0.2504 dn_loss_cls: 0.0744 dn_loss_bbox: 0.1557 dn_loss_iou: 0.2128 d0.dn_loss_cls: 0.1632 d0.dn_loss_bbox: 0.3253 d0.dn_loss_iou: 0.3673 d1.dn_loss_cls: 0.1042 d1.dn_loss_bbox: 0.1883 d1.dn_loss_iou: 0.2452 d2.dn_loss_cls: 0.0871 d2.dn_loss_bbox: 0.1629 d2.dn_loss_iou: 0.2211 d3.dn_loss_cls: 0.0793 d3.dn_loss_bbox: 0.1552 d3.dn_loss_iou: 0.2137 d4.dn_loss_cls: 0.0754 d4.dn_loss_bbox: 0.1556 d4.dn_loss_iou: 0.2129 d1.loss_lmm_region: 0.1023 loss_lmm_image: 0.6009 2024/11/04 07:33:07 - mmengine - INFO - Iter(train) [149200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:13:13 time: 0.9677 data_time: 0.0194 memory: 21055 grad_norm: 18.6057 loss: 7.3668 loss_cls: 0.2311 loss_bbox: 0.1075 loss_iou: 0.1911 d0.loss_cls: 0.2534 d0.loss_bbox: 0.1215 d0.loss_iou: 0.2099 d1.loss_cls: 0.2441 d1.loss_bbox: 0.1141 d1.loss_iou: 0.1983 d2.loss_cls: 0.2350 d2.loss_bbox: 0.1120 d2.loss_iou: 0.1925 d3.loss_cls: 0.2339 d3.loss_bbox: 0.1091 d3.loss_iou: 0.1920 d4.loss_cls: 0.2321 d4.loss_bbox: 0.1071 d4.loss_iou: 0.1917 enc_loss_cls: 0.2766 enc_loss_bbox: 0.1313 enc_loss_iou: 0.2254 dn_loss_cls: 0.0627 dn_loss_bbox: 0.1222 dn_loss_iou: 0.1846 d0.dn_loss_cls: 0.1452 d0.dn_loss_bbox: 0.2591 d0.dn_loss_iou: 0.3271 d1.dn_loss_cls: 0.0875 d1.dn_loss_bbox: 0.1518 d1.dn_loss_iou: 0.2158 d2.dn_loss_cls: 0.0722 d2.dn_loss_bbox: 0.1281 d2.dn_loss_iou: 0.1923 d3.dn_loss_cls: 0.0648 d3.dn_loss_bbox: 0.1240 d3.dn_loss_iou: 0.1865 d4.dn_loss_cls: 0.0626 d4.dn_loss_bbox: 0.1221 d4.dn_loss_iou: 0.1847 d1.loss_lmm_region: 0.0871 loss_lmm_image: 0.6767 2024/11/04 07:34:45 - mmengine - INFO - Iter(train) [149300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:11:34 time: 0.9833 data_time: 0.0194 memory: 21449 grad_norm: 21.1862 loss: 9.0960 loss_cls: 0.2744 loss_bbox: 0.1409 loss_iou: 0.2835 d0.loss_cls: 0.3173 d0.loss_bbox: 0.1555 d0.loss_iou: 0.2973 d1.loss_cls: 0.2990 d1.loss_bbox: 0.1428 d1.loss_iou: 0.2833 d2.loss_cls: 0.2868 d2.loss_bbox: 0.1415 d2.loss_iou: 0.2830 d3.loss_cls: 0.2804 d3.loss_bbox: 0.1406 d3.loss_iou: 0.2830 d4.loss_cls: 0.2748 d4.loss_bbox: 0.1407 d4.loss_iou: 0.2842 enc_loss_cls: 0.3340 enc_loss_bbox: 0.1644 enc_loss_iou: 0.3135 dn_loss_cls: 0.0844 dn_loss_bbox: 0.1629 dn_loss_iou: 0.2081 d0.dn_loss_cls: 0.1643 d0.dn_loss_bbox: 0.2925 d0.dn_loss_iou: 0.3353 d1.dn_loss_cls: 0.1115 d1.dn_loss_bbox: 0.1915 d1.dn_loss_iou: 0.2345 d2.dn_loss_cls: 0.0995 d2.dn_loss_bbox: 0.1703 d2.dn_loss_iou: 0.2156 d3.dn_loss_cls: 0.0890 d3.dn_loss_bbox: 0.1635 d3.dn_loss_iou: 0.2090 d4.dn_loss_cls: 0.0857 d4.dn_loss_bbox: 0.1628 d4.dn_loss_iou: 0.2080 d1.loss_lmm_region: 0.1048 loss_lmm_image: 0.6818 2024/11/04 07:36:23 - mmengine - INFO - Iter(train) [149400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:09:55 time: 0.9930 data_time: 0.0192 memory: 20874 grad_norm: 20.8443 loss: 9.0401 loss_cls: 0.2905 loss_bbox: 0.1416 loss_iou: 0.2566 d0.loss_cls: 0.3280 d0.loss_bbox: 0.1548 d0.loss_iou: 0.2740 d1.loss_cls: 0.3074 d1.loss_bbox: 0.1477 d1.loss_iou: 0.2614 d2.loss_cls: 0.2990 d2.loss_bbox: 0.1451 d2.loss_iou: 0.2589 d3.loss_cls: 0.2964 d3.loss_bbox: 0.1426 d3.loss_iou: 0.2569 d4.loss_cls: 0.2941 d4.loss_bbox: 0.1406 d4.loss_iou: 0.2554 enc_loss_cls: 0.3503 enc_loss_bbox: 0.1601 enc_loss_iou: 0.2870 dn_loss_cls: 0.0800 dn_loss_bbox: 0.1678 dn_loss_iou: 0.2162 d0.dn_loss_cls: 0.1685 d0.dn_loss_bbox: 0.3018 d0.dn_loss_iou: 0.3565 d1.dn_loss_cls: 0.1146 d1.dn_loss_bbox: 0.1978 d1.dn_loss_iou: 0.2468 d2.dn_loss_cls: 0.0962 d2.dn_loss_bbox: 0.1737 d2.dn_loss_iou: 0.2231 d3.dn_loss_cls: 0.0859 d3.dn_loss_bbox: 0.1685 d3.dn_loss_iou: 0.2170 d4.dn_loss_cls: 0.0802 d4.dn_loss_bbox: 0.1679 d4.dn_loss_iou: 0.2162 d1.loss_lmm_region: 0.1146 loss_lmm_image: 0.5984 2024/11/04 07:38:01 - mmengine - INFO - Iter(train) [149500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:08:16 time: 0.9763 data_time: 0.0193 memory: 20438 grad_norm: 21.0754 loss: 9.1180 loss_cls: 0.3124 loss_bbox: 0.1391 loss_iou: 0.2741 d0.loss_cls: 0.3429 d0.loss_bbox: 0.1515 d0.loss_iou: 0.2950 d1.loss_cls: 0.3328 d1.loss_bbox: 0.1393 d1.loss_iou: 0.2789 d2.loss_cls: 0.3187 d2.loss_bbox: 0.1415 d2.loss_iou: 0.2769 d3.loss_cls: 0.3205 d3.loss_bbox: 0.1373 d3.loss_iou: 0.2723 d4.loss_cls: 0.3143 d4.loss_bbox: 0.1392 d4.loss_iou: 0.2748 enc_loss_cls: 0.3616 enc_loss_bbox: 0.1620 enc_loss_iou: 0.3079 dn_loss_cls: 0.0829 dn_loss_bbox: 0.1548 dn_loss_iou: 0.2064 d0.dn_loss_cls: 0.1589 d0.dn_loss_bbox: 0.2948 d0.dn_loss_iou: 0.3406 d1.dn_loss_cls: 0.1067 d1.dn_loss_bbox: 0.1824 d1.dn_loss_iou: 0.2342 d2.dn_loss_cls: 0.0937 d2.dn_loss_bbox: 0.1608 d2.dn_loss_iou: 0.2121 d3.dn_loss_cls: 0.0867 d3.dn_loss_bbox: 0.1555 d3.dn_loss_iou: 0.2073 d4.dn_loss_cls: 0.0828 d4.dn_loss_bbox: 0.1547 d4.dn_loss_iou: 0.2065 d1.loss_lmm_region: 0.1037 loss_lmm_image: 0.5995 2024/11/04 07:39:39 - mmengine - INFO - Iter(train) [149600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:06:36 time: 0.9864 data_time: 0.0192 memory: 20473 grad_norm: 18.4989 loss: 7.8597 loss_cls: 0.2406 loss_bbox: 0.1187 loss_iou: 0.2160 d0.loss_cls: 0.2713 d0.loss_bbox: 0.1294 d0.loss_iou: 0.2340 d1.loss_cls: 0.2601 d1.loss_bbox: 0.1229 d1.loss_iou: 0.2201 d2.loss_cls: 0.2476 d2.loss_bbox: 0.1208 d2.loss_iou: 0.2173 d3.loss_cls: 0.2461 d3.loss_bbox: 0.1186 d3.loss_iou: 0.2157 d4.loss_cls: 0.2428 d4.loss_bbox: 0.1191 d4.loss_iou: 0.2163 enc_loss_cls: 0.2816 enc_loss_bbox: 0.1465 enc_loss_iou: 0.2546 dn_loss_cls: 0.0656 dn_loss_bbox: 0.1511 dn_loss_iou: 0.1885 d0.dn_loss_cls: 0.1437 d0.dn_loss_bbox: 0.2874 d0.dn_loss_iou: 0.3215 d1.dn_loss_cls: 0.0925 d1.dn_loss_bbox: 0.1786 d1.dn_loss_iou: 0.2166 d2.dn_loss_cls: 0.0783 d2.dn_loss_bbox: 0.1578 d2.dn_loss_iou: 0.1943 d3.dn_loss_cls: 0.0695 d3.dn_loss_bbox: 0.1522 d3.dn_loss_iou: 0.1897 d4.dn_loss_cls: 0.0661 d4.dn_loss_bbox: 0.1511 d4.dn_loss_iou: 0.1885 d1.loss_lmm_region: 0.1020 loss_lmm_image: 0.6245 2024/11/04 07:41:16 - mmengine - INFO - Iter(train) [149700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:04:57 time: 0.9732 data_time: 0.0192 memory: 20866 grad_norm: 19.7417 loss: 8.1991 loss_cls: 0.2403 loss_bbox: 0.1291 loss_iou: 0.2281 d0.loss_cls: 0.2640 d0.loss_bbox: 0.1394 d0.loss_iou: 0.2386 d1.loss_cls: 0.2525 d1.loss_bbox: 0.1341 d1.loss_iou: 0.2316 d2.loss_cls: 0.2495 d2.loss_bbox: 0.1299 d2.loss_iou: 0.2282 d3.loss_cls: 0.2452 d3.loss_bbox: 0.1308 d3.loss_iou: 0.2281 d4.loss_cls: 0.2425 d4.loss_bbox: 0.1287 d4.loss_iou: 0.2276 enc_loss_cls: 0.2788 enc_loss_bbox: 0.1541 enc_loss_iou: 0.2569 dn_loss_cls: 0.0694 dn_loss_bbox: 0.1655 dn_loss_iou: 0.2102 d0.dn_loss_cls: 0.1486 d0.dn_loss_bbox: 0.3040 d0.dn_loss_iou: 0.3416 d1.dn_loss_cls: 0.0952 d1.dn_loss_bbox: 0.1906 d1.dn_loss_iou: 0.2337 d2.dn_loss_cls: 0.0803 d2.dn_loss_bbox: 0.1714 d2.dn_loss_iou: 0.2165 d3.dn_loss_cls: 0.0740 d3.dn_loss_bbox: 0.1661 d3.dn_loss_iou: 0.2109 d4.dn_loss_cls: 0.0707 d4.dn_loss_bbox: 0.1652 d4.dn_loss_iou: 0.2101 d1.loss_lmm_region: 0.0825 loss_lmm_image: 0.6345 2024/11/04 07:42:54 - mmengine - INFO - Iter(train) [149800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:03:18 time: 0.9857 data_time: 0.0193 memory: 20851 grad_norm: 19.5163 loss: 9.2974 loss_cls: 0.2970 loss_bbox: 0.1584 loss_iou: 0.2910 d0.loss_cls: 0.3356 d0.loss_bbox: 0.1686 d0.loss_iou: 0.3005 d1.loss_cls: 0.3178 d1.loss_bbox: 0.1628 d1.loss_iou: 0.2933 d2.loss_cls: 0.3106 d2.loss_bbox: 0.1597 d2.loss_iou: 0.2891 d3.loss_cls: 0.3088 d3.loss_bbox: 0.1586 d3.loss_iou: 0.2873 d4.loss_cls: 0.3010 d4.loss_bbox: 0.1581 d4.loss_iou: 0.2899 enc_loss_cls: 0.3601 enc_loss_bbox: 0.1763 enc_loss_iou: 0.3158 dn_loss_cls: 0.0708 dn_loss_bbox: 0.1619 dn_loss_iou: 0.2167 d0.dn_loss_cls: 0.1551 d0.dn_loss_bbox: 0.2948 d0.dn_loss_iou: 0.3482 d1.dn_loss_cls: 0.0991 d1.dn_loss_bbox: 0.1903 d1.dn_loss_iou: 0.2438 d2.dn_loss_cls: 0.0836 d2.dn_loss_bbox: 0.1680 d2.dn_loss_iou: 0.2234 d3.dn_loss_cls: 0.0745 d3.dn_loss_bbox: 0.1621 d3.dn_loss_iou: 0.2175 d4.dn_loss_cls: 0.0714 d4.dn_loss_bbox: 0.1616 d4.dn_loss_iou: 0.2166 d1.loss_lmm_region: 0.1008 loss_lmm_image: 0.5969 2024/11/04 07:44:32 - mmengine - INFO - Iter(train) [149900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:01:39 time: 0.9744 data_time: 0.0193 memory: 20669 grad_norm: 19.3879 loss: 8.1210 loss_cls: 0.2450 loss_bbox: 0.1357 loss_iou: 0.2396 d0.loss_cls: 0.2763 d0.loss_bbox: 0.1420 d0.loss_iou: 0.2495 d1.loss_cls: 0.2603 d1.loss_bbox: 0.1380 d1.loss_iou: 0.2439 d2.loss_cls: 0.2551 d2.loss_bbox: 0.1341 d2.loss_iou: 0.2404 d3.loss_cls: 0.2495 d3.loss_bbox: 0.1369 d3.loss_iou: 0.2412 d4.loss_cls: 0.2454 d4.loss_bbox: 0.1354 d4.loss_iou: 0.2401 enc_loss_cls: 0.2874 enc_loss_bbox: 0.1551 enc_loss_iou: 0.2723 dn_loss_cls: 0.0492 dn_loss_bbox: 0.1435 dn_loss_iou: 0.2018 d0.dn_loss_cls: 0.1400 d0.dn_loss_bbox: 0.2953 d0.dn_loss_iou: 0.3477 d1.dn_loss_cls: 0.0785 d1.dn_loss_bbox: 0.1788 d1.dn_loss_iou: 0.2341 d2.dn_loss_cls: 0.0598 d2.dn_loss_bbox: 0.1518 d2.dn_loss_iou: 0.2104 d3.dn_loss_cls: 0.0539 d3.dn_loss_bbox: 0.1457 d3.dn_loss_iou: 0.2034 d4.dn_loss_cls: 0.0492 d4.dn_loss_bbox: 0.1435 d4.dn_loss_iou: 0.2018 d1.loss_lmm_region: 0.0883 loss_lmm_image: 0.6209 2024/11/04 07:46:11 - mmengine - INFO - Exp name: grounding_dino_swin_t_20241102_115059 2024/11/04 07:46:11 - mmengine - INFO - Iter(train) [150000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:00:00 time: 0.9940 data_time: 0.0192 memory: 20049 grad_norm: 18.0431 loss: 9.2737 loss_cls: 0.3021 loss_bbox: 0.1530 loss_iou: 0.2425 d0.loss_cls: 0.3386 d0.loss_bbox: 0.1638 d0.loss_iou: 0.2592 d1.loss_cls: 0.3283 d1.loss_bbox: 0.1517 d1.loss_iou: 0.2445 d2.loss_cls: 0.3175 d2.loss_bbox: 0.1479 d2.loss_iou: 0.2414 d3.loss_cls: 0.3092 d3.loss_bbox: 0.1512 d3.loss_iou: 0.2381 d4.loss_cls: 0.3068 d4.loss_bbox: 0.1498 d4.loss_iou: 0.2388 enc_loss_cls: 0.3562 enc_loss_bbox: 0.1763 enc_loss_iou: 0.2742 dn_loss_cls: 0.0769 dn_loss_bbox: 0.1806 dn_loss_iou: 0.2185 d0.dn_loss_cls: 0.1713 d0.dn_loss_bbox: 0.3494 d0.dn_loss_iou: 0.3680 d1.dn_loss_cls: 0.1101 d1.dn_loss_bbox: 0.2223 d1.dn_loss_iou: 0.2514 d2.dn_loss_cls: 0.0901 d2.dn_loss_bbox: 0.1885 d2.dn_loss_iou: 0.2266 d3.dn_loss_cls: 0.0811 d3.dn_loss_bbox: 0.1821 d3.dn_loss_iou: 0.2200 d4.dn_loss_cls: 0.0777 d4.dn_loss_bbox: 0.1806 d4.dn_loss_iou: 0.2185 d1.loss_lmm_region: 0.1100 loss_lmm_image: 0.6593 2024/11/04 07:46:11 - mmengine - INFO - Saving checkpoint at 150000 iterations 2024/11/04 08:32:16 - mmengine - INFO - mAP_copypaste: {'AP': 0.44547745528584365, 'AP50': 0.5553920138112171, 'AP75': 0.4727765352390389, 'APs': 0.4019585774909734, 'APm': 0.5727652083254015, 'APl': 0.6360386942667362, 'APr': 0.3863536768501369, 'APc': 0.39257637248680494, 'APf': 0.5030341083865322} 2024/11/04 08:32:40 - mmengine - INFO - Iter(val) [602/602] lvis_fixed_ap/AP: 0.4455 lvis_fixed_ap/AP50: 0.5554 lvis_fixed_ap/AP75: 0.4728 lvis_fixed_ap/APs: 0.4020 lvis_fixed_ap/APm: 0.5728 lvis_fixed_ap/APl: 0.6360 lvis_fixed_ap/APr: 0.3864 lvis_fixed_ap/APc: 0.3926 lvis_fixed_ap/APf: 0.5030 data_time: 0.0020 time: 3.4721