Model save

README.md

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+---
+library_name: transformers
+license: other
+base_model: apple/mobilevit-small
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: mobilevit-small_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. -->
+
+# mobilevit-small_rice-leaf-disease-augmented-v4_fft
+
+This model is a fine-tuned version of [apple/mobilevit-small](https://huggingface.co/apple/mobilevit-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2911
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.0561        | 0.5   | 64   | 2.0213          | 0.2886   |
+| 1.9819        | 1.0   | 128  | 1.8788          | 0.5503   |
+| 1.771         | 1.5   | 192  | 1.5291          | 0.6107   |
+| 1.3911        | 2.0   | 256  | 1.0706          | 0.7349   |
+| 1.0026        | 2.5   | 320  | 0.7560          | 0.8054   |
+| 0.7657        | 3.0   | 384  | 0.6180          | 0.8356   |
+| 0.6082        | 3.5   | 448  | 0.5422          | 0.8389   |
+| 0.5313        | 4.0   | 512  | 0.4946          | 0.8523   |
+| 0.4623        | 4.5   | 576  | 0.4512          | 0.8758   |
+| 0.4212        | 5.0   | 640  | 0.4322          | 0.8792   |
+| 0.4025        | 5.5   | 704  | 0.4259          | 0.8893   |
+| 0.3892        | 6.0   | 768  | 0.4238          | 0.8859   |
+| 0.3959        | 6.5   | 832  | 0.4083          | 0.8859   |
+| 0.3279        | 7.0   | 896  | 0.3750          | 0.8826   |
+| 0.2793        | 7.5   | 960  | 0.3350          | 0.8993   |
+| 0.222         | 8.0   | 1024 | 0.3208          | 0.8960   |
+| 0.1862        | 8.5   | 1088 | 0.3128          | 0.8993   |
+| 0.1717        | 9.0   | 1152 | 0.3049          | 0.9027   |
+| 0.1408        | 9.5   | 1216 | 0.3010          | 0.9027   |
+| 0.1507        | 10.0  | 1280 | 0.3240          | 0.9161   |
+| 0.1369        | 10.5  | 1344 | 0.3063          | 0.9060   |
+| 0.1389        | 11.0  | 1408 | 0.3045          | 0.9060   |
+| 0.1199        | 11.5  | 1472 | 0.3062          | 0.9094   |
+| 0.1003        | 12.0  | 1536 | 0.3131          | 0.9128   |
+| 0.0756        | 12.5  | 1600 | 0.3002          | 0.9228   |
+| 0.0636        | 13.0  | 1664 | 0.3177          | 0.9128   |
+| 0.058         | 13.5  | 1728 | 0.3143          | 0.9228   |
+| 0.0566        | 14.0  | 1792 | 0.3136          | 0.9195   |
+| 0.0516        | 14.5  | 1856 | 0.3447          | 0.9161   |
+| 0.0426        | 15.0  | 1920 | 0.2911          | 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": "apple/mobilevit-small",
+  "architectures": [
+    "MobileViTForImageClassification"
+  ],
+  "aspp_dropout_prob": 0.1,
+  "aspp_out_channels": 256,
+  "atrous_rates": [
+    6,
+    12,
+    18
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "classifier_dropout_prob": 0.1,
+  "conv_kernel_size": 3,
+  "expand_ratio": 4.0,
+  "hidden_act": "silu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_sizes": [
+    144,
+    192,
+    240
+  ],
+  "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": 256,
+  "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": 2.0,
+  "model_type": "mobilevit",
+  "neck_hidden_sizes": [
+    16,
+    32,
+    64,
+    96,
+    128,
+    160,
+    640
+  ],
+  "num_attention_heads": 4,
+  "num_channels": 3,
+  "output_stride": 32,
+  "patch_size": 2,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "semantic_loss_ignore_index": 255,
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.3"
+}

logs/events.out.tfevents.1741862948.2f737851e969.927.0

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model.safetensors

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preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 256,
+    "width": 256
+  },
+  "do_center_crop": true,
+  "do_flip_channel_order": true,
+  "do_flip_channels": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_processor_type": "MobileViTImageProcessor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 288
+  }
+}

training_args.bin

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