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# vit-base-patch16-224_rice-leaf-disease-augmented-v4_fft

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2195
- Accuracy: 0.9564

## 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_ratio: 0.1
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 1.9654        | 0.5   | 64   | 0.5      | 1.5817          |
| 1.1667        | 1.0   | 128  | 0.8255   | 0.6758          |
| 0.4198        | 1.5   | 192  | 0.9027   | 0.2913          |
| 0.1774        | 2.0   | 256  | 0.9597   | 0.1539          |
| 0.038         | 2.5   | 320  | 0.9564   | 0.1636          |
| 0.0248        | 3.0   | 384  | 0.9430   | 0.1796          |
| 0.007         | 3.5   | 448  | 0.9497   | 0.1965          |
| 0.0023        | 4.0   | 512  | 0.9497   | 0.2117          |
| 0.0012        | 4.5   | 576  | 0.9463   | 0.2007          |
| 0.001         | 5.0   | 640  | 0.9564   | 0.1974          |
| 0.0008        | 5.5   | 704  | 0.9564   | 0.2004          |
| 0.0007        | 6.0   | 768  | 0.9564   | 0.2007          |
| 0.0008        | 6.5   | 832  | 0.9564   | 0.2008          |
| 0.0006        | 7.0   | 896  | 0.9597   | 0.2012          |
| 0.0005        | 7.5   | 960  | 0.9597   | 0.2021          |
| 0.0004        | 8.0   | 1024 | 0.9564   | 0.2069          |
| 0.0004        | 8.5   | 1088 | 0.2108   | 0.9564          |
| 0.0003        | 9.0   | 1152 | 0.2105   | 0.9564          |
| 0.0003        | 9.5   | 1216 | 0.2086   | 0.9564          |
| 0.0002        | 10.0  | 1280 | 0.2129   | 0.9564          |
| 0.0002        | 10.5  | 1344 | 0.2139   | 0.9564          |
| 0.0002        | 11.0  | 1408 | 0.2140   | 0.9564          |
| 0.0002        | 11.5  | 1472 | 0.2141   | 0.9564          |
| 0.0002        | 12.0  | 1536 | 0.2170   | 0.9564          |
| 0.0002        | 12.5  | 1600 | 0.2149   | 0.9564          |
| 0.0002        | 13.0  | 1664 | 0.2193   | 0.9564          |
| 0.0001        | 13.5  | 1728 | 0.2187   | 0.9564          |
| 0.0001        | 14.0  | 1792 | 0.2197   | 0.9564          |
| 0.0001        | 14.5  | 1856 | 0.2194   | 0.9564          |
| 0.0001        | 15.0  | 1920 | 0.2195   | 0.9564          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0

bacterial leaf blight brown spot healthy rice leaf leaf blast leaf scald narrow brown leaf spot rice hispa sheath blight