Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: WinKawaks/vit-tiny-patch16-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: vit-tiny-patch16-224_rice-leaf-disease-augmented-v4_fft
+  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. -->
+
+# vit-tiny-patch16-224_rice-leaf-disease-augmented-v4_fft
+
+This model is a fine-tuned version of [WinKawaks/vit-tiny-patch16-224](https://huggingface.co/WinKawaks/vit-tiny-patch16-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3269
+- Accuracy: 0.9228
+
+## 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: 5e-05
+- 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: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.0564        | 0.5   | 64   | 1.4541          | 0.4899   |
+| 1.0767        | 1.0   | 128  | 0.6909          | 0.7651   |
+| 0.4917        | 1.5   | 192  | 0.4307          | 0.8322   |
+| 0.285         | 2.0   | 256  | 0.2932          | 0.9027   |
+| 0.0902        | 2.5   | 320  | 0.3134          | 0.8993   |
+| 0.0588        | 3.0   | 384  | 0.3076          | 0.9161   |
+| 0.0155        | 3.5   | 448  | 0.2627          | 0.9396   |
+| 0.0066        | 4.0   | 512  | 0.2992          | 0.9295   |
+| 0.0017        | 4.5   | 576  | 0.2936          | 0.9228   |
+| 0.0009        | 5.0   | 640  | 0.2961          | 0.9228   |
+| 0.0006        | 5.5   | 704  | 0.3005          | 0.9228   |
+| 0.0005        | 6.0   | 768  | 0.3004          | 0.9228   |
+| 0.0005        | 6.5   | 832  | 0.2867          | 0.9262   |
+| 0.0004        | 7.0   | 896  | 0.2977          | 0.9295   |
+| 0.0003        | 7.5   | 960  | 0.2944          | 0.9295   |
+| 0.0002        | 8.0   | 1024 | 0.3074          | 0.9295   |
+| 0.0002        | 8.5   | 1088 | 0.3053          | 0.9329   |
+| 0.0002        | 9.0   | 1152 | 0.3098          | 0.9295   |
+| 0.0001        | 9.5   | 1216 | 0.3102          | 0.9295   |
+| 0.0001        | 10.0  | 1280 | 0.3105          | 0.9262   |
+| 0.0001        | 10.5  | 1344 | 0.3105          | 0.9262   |
+| 0.0001        | 11.0  | 1408 | 0.3202          | 0.9262   |
+| 0.0001        | 11.5  | 1472 | 0.3183          | 0.9295   |
+| 0.0001        | 12.0  | 1536 | 0.3131          | 0.9329   |
+| 0.0001        | 12.5  | 1600 | 0.3157          | 0.9295   |
+| 0.0001        | 13.0  | 1664 | 0.3238          | 0.9228   |
+| 0.0001        | 13.5  | 1728 | 0.3220          | 0.9228   |
+| 0.0001        | 14.0  | 1792 | 0.3266          | 0.9228   |
+| 0.0001        | 14.5  | 1856 | 0.3274          | 0.9228   |
+| 0.0001        | 15.0  | 1920 | 0.3269          | 0.9228   |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "WinKawaks/vit-tiny-patch16-224",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 192,
+  "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,
+  "intermediate_size": 768,
+  "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-12,
+  "model_type": "vit",
+  "num_attention_heads": 3,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.3"
+}

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model.safetensors

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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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