decoding_results/streaming/fast_beam_search/log-decode-epoch-30-avg-9-streaming-chunk-size-64-beam-4-max-contexts-4-max-states-32-use-averaged-model-2022-12-26-18-56-12

2022-12-26 18:56:12,662 INFO [streaming_decode.py:479] Decoding started
2022-12-26 18:56:12,663 INFO [streaming_decode.py:485] Device: cuda:0
2022-12-26 18:56:12,668 INFO [streaming_decode.py:495] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'warm_step': 2000, 'env_info': {'k2-version': '1.23.2', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'efd83642a940dc7db08688cc0791985bed1fafcd', 'k2-git-date': 'Sun Nov 27 19:12:00 2022', 'lhotse-version': '1.12.0.dev+git.891bad1.clean', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'streaming_zipformer', 'icefall-git-sha1': '4c56845-dirty', 'icefall-git-date': 'Mon Dec 26 17:49:00 2022', 'icefall-path': '/star-zw/workspace/zipformer/icefall_streaming2', 'k2-path': '/star-zw/workspace/share/k2-last/k2/python/k2/__init__.py', 'lhotse-path': '/star-zw/env/k2_icefall/lib/python3.8/site-packages/lhotse-1.12.0.dev0+git.891bad1.clean-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-2-1216192652-5bcf7587b4-n6q9m', 'IP address': '10.177.74.211'}, 'epoch': 30, 'iter': 0, 'avg': 9, 'use_averaged_model': True, 'exp_dir': PosixPath('pruned_transducer_stateless7_streaming/exp-full-dynamic-chunk'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'decoding_method': 'fast_beam_search', 'num_active_paths': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 32, 'context_size': 2, 'num_decode_streams': 2000, 'num_encoder_layers': '2,4,3,2,4', 'feedforward_dims': '1024,1024,2048,2048,1024', 'nhead': '8,8,8,8,8', 'encoder_dims': '384,384,384,384,384', 'attention_dims': '192,192,192,192,192', 'encoder_unmasked_dims': '256,256,256,256,256', 'zipformer_downsampling_factors': '1,2,4,8,2', 'cnn_module_kernels': '31,31,31,31,31', 'decoder_dim': 512, 'joiner_dim': 512, 'short_chunk_size': 50, 'num_left_chunks': 4, 'decode_chunk_len': 64, 'full_libri': True, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200.0, 'bucketing_sampler': True, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'res_dir': PosixPath('pruned_transducer_stateless7_streaming/exp-full-dynamic-chunk/streaming/fast_beam_search'), 'suffix': 'epoch-30-avg-9-streaming-chunk-size-64-beam-4-max-contexts-4-max-states-32-use-averaged-model', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 500}
2022-12-26 18:56:12,669 INFO [streaming_decode.py:497] About to create model
2022-12-26 18:56:13,245 INFO [zipformer.py:378] At encoder stack 4, which has downsampling_factor=2, we will combine the outputs of layers 1 and 3, with downsampling_factors=2 and 8.
2022-12-26 18:56:13,258 INFO [streaming_decode.py:564] Calculating the averaged model over epoch range from 21 (excluded) to 30
2022-12-26 18:56:26,929 INFO [streaming_decode.py:586] Number of model parameters: 70369391
2022-12-26 18:56:26,929 INFO [asr_datamodule.py:443] About to get test-clean cuts
2022-12-26 18:56:26,947 INFO [asr_datamodule.py:450] About to get test-other cuts
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2022-12-26 18:57:38,786 INFO [streaming_decode.py:417] The transcripts are stored in pruned_transducer_stateless7_streaming/exp-full-dynamic-chunk/streaming/fast_beam_search/recogs-test-clean-beam_4_max_contexts_4_max_states_32-epoch-30-avg-9-streaming-chunk-size-64-beam-4-max-contexts-4-max-states-32-use-averaged-model.txt
2022-12-26 18:57:38,867 INFO [utils.py:536] [test-clean-beam_4_max_contexts_4_max_states_32] %WER 2.96% [1554 / 52576, 192 ins, 111 del, 1251 sub ]
2022-12-26 18:57:39,048 INFO [streaming_decode.py:430] Wrote detailed error stats to pruned_transducer_stateless7_streaming/exp-full-dynamic-chunk/streaming/fast_beam_search/errs-test-clean-beam_4_max_contexts_4_max_states_32-epoch-30-avg-9-streaming-chunk-size-64-beam-4-max-contexts-4-max-states-32-use-averaged-model.txt
2022-12-26 18:57:39,051 INFO [streaming_decode.py:446] 
For test-clean, WER of different settings are:
beam_4_max_contexts_4_max_states_32	2.96	best for test-clean

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2022-12-26 18:58:50,249 INFO [streaming_decode.py:417] The transcripts are stored in pruned_transducer_stateless7_streaming/exp-full-dynamic-chunk/streaming/fast_beam_search/recogs-test-other-beam_4_max_contexts_4_max_states_32-epoch-30-avg-9-streaming-chunk-size-64-beam-4-max-contexts-4-max-states-32-use-averaged-model.txt
2022-12-26 18:58:50,328 INFO [utils.py:536] [test-other-beam_4_max_contexts_4_max_states_32] %WER 7.61% [3985 / 52343, 420 ins, 355 del, 3210 sub ]
2022-12-26 18:58:50,516 INFO [streaming_decode.py:430] Wrote detailed error stats to pruned_transducer_stateless7_streaming/exp-full-dynamic-chunk/streaming/fast_beam_search/errs-test-other-beam_4_max_contexts_4_max_states_32-epoch-30-avg-9-streaming-chunk-size-64-beam-4-max-contexts-4-max-states-32-use-averaged-model.txt
2022-12-26 18:58:50,519 INFO [streaming_decode.py:446] 
For test-other, WER of different settings are:
beam_4_max_contexts_4_max_states_32	7.61	best for test-other

2022-12-26 18:58:50,519 INFO [streaming_decode.py:611] Done!