Model save

README.md

@@ -0,0 +1,122 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: microsoft/swin-base-patch4-window7-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: swin-base-patch4-window7-224_rice-leaf-disease-augmented-v4_v5_pft
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# swin-base-patch4-window7-224_rice-leaf-disease-augmented-v4_v5_pft
+
+This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4024
+- Accuracy: 0.8490
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0003
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_warmup_steps: 256
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.0846        | 0.5   | 64   | 1.9602          | 0.2483   |
+| 1.7504        | 1.0   | 128  | 1.5308          | 0.5034   |
+| 1.3704        | 1.5   | 192  | 1.1825          | 0.6107   |
+| 1.113         | 2.0   | 256  | 0.9313          | 0.7148   |
+| 0.9305        | 2.5   | 320  | 0.8132          | 0.7617   |
+| 0.8171        | 3.0   | 384  | 0.7214          | 0.7651   |
+| 0.7497        | 3.5   | 448  | 0.6650          | 0.7785   |
+| 0.7039        | 4.0   | 512  | 0.6244          | 0.8188   |
+| 0.6696        | 4.5   | 576  | 0.6003          | 0.8188   |
+| 0.649         | 5.0   | 640  | 0.5976          | 0.8121   |
+| 0.6334        | 5.5   | 704  | 0.6032          | 0.8020   |
+| 0.6256        | 6.0   | 768  | 0.5859          | 0.8188   |
+| 0.6417        | 6.5   | 832  | 0.5851          | 0.8188   |
+| 0.5991        | 7.0   | 896  | 0.5835          | 0.8154   |
+| 0.6014        | 7.5   | 960  | 0.5394          | 0.8322   |
+| 0.5614        | 8.0   | 1024 | 0.5211          | 0.8356   |
+| 0.536         | 8.5   | 1088 | 0.5184          | 0.8121   |
+| 0.5443        | 9.0   | 1152 | 0.5256          | 0.8154   |
+| 0.5129        | 9.5   | 1216 | 0.5026          | 0.8221   |
+| 0.5084        | 10.0  | 1280 | 0.5028          | 0.8188   |
+| 0.5081        | 10.5  | 1344 | 0.4996          | 0.8188   |
+| 0.4936        | 11.0  | 1408 | 0.5004          | 0.8188   |
+| 0.5           | 11.5  | 1472 | 0.5091          | 0.8121   |
+| 0.4934        | 12.0  | 1536 | 0.4892          | 0.8356   |
+| 0.4831        | 12.5  | 1600 | 0.4736          | 0.8322   |
+| 0.4638        | 13.0  | 1664 | 0.4727          | 0.8255   |
+| 0.4549        | 13.5  | 1728 | 0.4552          | 0.8456   |
+| 0.4454        | 14.0  | 1792 | 0.4646          | 0.8322   |
+| 0.44          | 14.5  | 1856 | 0.4610          | 0.8322   |
+| 0.4304        | 15.0  | 1920 | 0.4574          | 0.8356   |
+| 0.4255        | 15.5  | 1984 | 0.4550          | 0.8356   |
+| 0.4353        | 16.0  | 2048 | 0.4548          | 0.8356   |
+| 0.4456        | 16.5  | 2112 | 0.4465          | 0.8322   |
+| 0.4047        | 17.0  | 2176 | 0.4619          | 0.8255   |
+| 0.4119        | 17.5  | 2240 | 0.4497          | 0.8389   |
+| 0.4009        | 18.0  | 2304 | 0.4329          | 0.8423   |
+| 0.3901        | 18.5  | 2368 | 0.4286          | 0.8456   |
+| 0.3936        | 19.0  | 2432 | 0.4318          | 0.8456   |
+| 0.3761        | 19.5  | 2496 | 0.4297          | 0.8456   |
+| 0.3885        | 20.0  | 2560 | 0.4279          | 0.8456   |
+| 0.3806        | 20.5  | 2624 | 0.4271          | 0.8456   |
+| 0.3779        | 21.0  | 2688 | 0.4352          | 0.8523   |
+| 0.3746        | 21.5  | 2752 | 0.4256          | 0.8490   |
+| 0.3708        | 22.0  | 2816 | 0.4253          | 0.8557   |
+| 0.362         | 22.5  | 2880 | 0.4205          | 0.8490   |
+| 0.3558        | 23.0  | 2944 | 0.4122          | 0.8490   |
+| 0.3507        | 23.5  | 3008 | 0.4147          | 0.8423   |
+| 0.3481        | 24.0  | 3072 | 0.4134          | 0.8456   |
+| 0.3452        | 24.5  | 3136 | 0.4120          | 0.8456   |
+| 0.3437        | 25.0  | 3200 | 0.4117          | 0.8490   |
+| 0.3499        | 25.5  | 3264 | 0.4164          | 0.8523   |
+| 0.3373        | 26.0  | 3328 | 0.4109          | 0.8490   |
+| 0.3468        | 26.5  | 3392 | 0.3999          | 0.8523   |
+| 0.3297        | 27.0  | 3456 | 0.4079          | 0.8523   |
+| 0.329         | 27.5  | 3520 | 0.3997          | 0.8423   |
+| 0.3293        | 28.0  | 3584 | 0.4051          | 0.8423   |
+| 0.3147        | 28.5  | 3648 | 0.3987          | 0.8523   |
+| 0.3239        | 29.0  | 3712 | 0.4013          | 0.8523   |
+| 0.3147        | 29.5  | 3776 | 0.4031          | 0.8490   |
+| 0.3167        | 30.0  | 3840 | 0.4024          | 0.8490   |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.1

config.json

@@ -0,0 +1,73 @@
+{
+  "_name_or_path": "microsoft/swin-base-patch4-window7-224",
+  "architectures": [
+    "SwinForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    2,
+    2,
+    18,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 128,
+  "encoder_stride": 32,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "Bacterial Leaf Blight",
+    "1": "Brown Spot",
+    "2": "Healthy Rice Leaf",
+    "3": "Leaf Blast",
+    "4": "Leaf scald",
+    "5": "Narrow Brown Leaf Spot",
+    "6": "Rice Hispa",
+    "7": "Sheath Blight"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Bacterial Leaf Blight": 0,
+    "Brown Spot": 1,
+    "Healthy Rice Leaf": 2,
+    "Leaf Blast": 3,
+    "Leaf scald": 4,
+    "Narrow Brown Leaf Spot": 5,
+    "Rice Hispa": 6,
+    "Sheath Blight": 7
+  },
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 4.0,
+  "model_type": "swin",
+  "num_channels": 3,
+  "num_heads": [
+    4,
+    8,
+    16,
+    32
+  ],
+  "num_layers": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "path_norm": true,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.3",
+  "use_absolute_embeddings": false,
+  "window_size": 7
+}

logs/events.out.tfevents.1745554344.bb3cd456e661.517.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b10a19b71fc17223b1c8375af19c958aab6958bf50b57eafdca519088cfbbad6
+size 38471

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:44a9ee7f1602d2cc02d2d093b704f925eb75555c65e0aad04abbf7ba361aa4dc
+size 347523416

preprocessor_config.json

@@ -0,0 +1,23 @@
+{
+  "do_convert_rgb": null,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d96df27a803347936b253b60f385452e3f0af9e3d76a7c4ccbaef013ae743b24
+size 5560