End of training Fold 4

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+- recall
+model-index:
+- name: fold_4
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: None
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9619377162629758
+    - name: Recall
+      type: recall
+      value: 0.9658753615233592
+---
+
+<!-- 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. -->
+
+# fold_4
+
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1305
+- Accuracy: 0.9619
+- F1 Score: 0.9652
+- Recall: 0.9659
+
+## 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: 1e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 150
+- num_epochs: 100
+- label_smoothing_factor: 0.15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:------:|
+| 3.1319        | 1.0   | 19   | 3.1085          | 0.1453   | 0.1309   | 0.1601 |
+| 2.9606        | 2.0   | 38   | 2.8599          | 0.2526   | 0.2480   | 0.2557 |
+| 2.6010        | 3.0   | 57   | 2.5562          | 0.4775   | 0.4447   | 0.4458 |
+| 2.2535        | 4.0   | 76   | 2.2286          | 0.6125   | 0.6151   | 0.6017 |
+| 1.8319        | 5.0   | 95   | 1.8960          | 0.7405   | 0.7493   | 0.7328 |
+| 1.5134        | 6.0   | 114  | 1.5738          | 0.8547   | 0.8679   | 0.8626 |
+| 1.3165        | 7.0   | 133  | 1.3901          | 0.8962   | 0.9047   | 0.8956 |
+| 1.1793        | 8.0   | 152  | 1.2636          | 0.9446   | 0.9499   | 0.9499 |
+| 1.1215        | 9.0   | 171  | 1.2150          | 0.9377   | 0.9435   | 0.9413 |
+| 1.0953        | 10.0  | 190  | 1.1884          | 0.9481   | 0.9530   | 0.9538 |
+| 1.0713        | 11.0  | 209  | 1.1682          | 0.9516   | 0.9555   | 0.9563 |
+| 1.0654        | 12.0  | 228  | 1.1829          | 0.9446   | 0.9497   | 0.9524 |
+| 1.0202        | 13.0  | 247  | 1.1502          | 0.9585   | 0.9615   | 0.9610 |
+| 1.0255        | 14.0  | 266  | 1.1526          | 0.9550   | 0.9589   | 0.9573 |
+| 1.0126        | 15.0  | 285  | 1.1521          | 0.9619   | 0.9651   | 0.9646 |
+| 1.0030        | 16.0  | 304  | 1.1346          | 0.9585   | 0.9621   | 0.9621 |
+| 0.9920        | 17.0  | 323  | 1.1365          | 0.9550   | 0.9589   | 0.9573 |
+| 0.9882        | 18.0  | 342  | 1.1356          | 0.9585   | 0.9621   | 0.9621 |
+| 0.9950        | 19.0  | 361  | 1.1334          | 0.9585   | 0.9621   | 0.9621 |
+| 0.9819        | 20.0  | 380  | 1.1356          | 0.9585   | 0.9621   | 0.9621 |
+| 0.9801        | 21.0  | 399  | 1.1312          | 0.9516   | 0.9545   | 0.9547 |
+| 0.9718        | 22.0  | 418  | 1.1346          | 0.9516   | 0.9545   | 0.9547 |
+| 0.9679        | 23.0  | 437  | 1.1564          | 0.9481   | 0.9534   | 0.9572 |
+| 0.9785        | 24.0  | 456  | 1.1227          | 0.9516   | 0.9545   | 0.9547 |
+| 0.9702        | 25.0  | 475  | 1.1275          | 0.9550   | 0.9589   | 0.9584 |
+| 0.9742        | 26.0  | 494  | 1.1230          | 0.9585   | 0.9620   | 0.9609 |
+| 0.9732        | 27.0  | 513  | 1.1303          | 0.9516   | 0.9554   | 0.9548 |
+| 0.9651        | 28.0  | 532  | 1.1305          | 0.9619   | 0.9652   | 0.9659 |
+| 0.9683        | 29.0  | 551  | 1.1283          | 0.9585   | 0.9620   | 0.9609 |
+| 0.9692        | 30.0  | 570  | 1.1373          | 0.9516   | 0.9554   | 0.9548 |
+| 0.9642        | 31.0  | 589  | 1.1312          | 0.9550   | 0.9589   | 0.9584 |
+| 0.9642        | 32.0  | 608  | 1.1352          | 0.9550   | 0.9589   | 0.9584 |
+| 0.9649        | 33.0  | 627  | 1.1363          | 0.9516   | 0.9554   | 0.9548 |
+| 0.9621        | 34.0  | 646  | 1.1327          | 0.9550   | 0.9589   | 0.9584 |
+
+
+### Framework versions
+
+- Transformers 5.0.0
+- Pytorch 2.10.0+cu128
+- Datasets 5.0.0
+- Tokenizers 0.22.2

config.json

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+{
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "dtype": "float32",
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Bacterial Leaf Blight",
+    "1": "Brown Spot",
+    "2": "Healthy Leaf",
+    "3": "Tungro Virus"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Bacterial Leaf Blight": "0",
+    "Brown Spot": "1",
+    "Healthy Leaf": "2",
+    "Tungro Virus": "3"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "pooler_act": "tanh",
+  "pooler_output_size": 768,
+  "qkv_bias": true,
+  "transformers_version": "5.0.0",
+  "use_cache": false
+}

model.safetensors

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+size 343230128

preprocessor_config.json

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+{
+  "do_convert_rgb": null,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

training_args.bin

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+size 5201