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# dinov2-base_rice-leaf-disease-augmented-v4_fft

This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3577
- Accuracy: 0.9329

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3845        | 0.5   | 64   | 0.4749          | 0.8389   |
| 0.2617        | 1.0   | 128  | 0.4180          | 0.8557   |
| 0.1422        | 1.5   | 192  | 0.3623          | 0.8893   |
| 0.1562        | 2.0   | 256  | 0.3631          | 0.8826   |
| 0.125         | 2.5   | 320  | 0.3037          | 0.9262   |
| 0.098         | 3.0   | 384  | 0.3326          | 0.9195   |
| 0.07          | 3.5   | 448  | 0.3849          | 0.9094   |
| 0.045         | 4.0   | 512  | 0.2490          | 0.9195   |
| 0.0136        | 4.5   | 576  | 0.3664          | 0.9228   |
| 0.0021        | 5.0   | 640  | 0.3443          | 0.9362   |
| 0.0002        | 5.5   | 704  | 0.3226          | 0.9362   |
| 0.0002        | 6.0   | 768  | 0.3354          | 0.9329   |
| 0.0           | 6.5   | 832  | 0.3349          | 0.9329   |
| 0.0           | 7.0   | 896  | 0.3515          | 0.9329   |
| 0.0           | 7.5   | 960  | 0.3634          | 0.9329   |
| 0.0           | 8.0   | 1024 | 0.3543          | 0.9329   |
| 0.0           | 8.5   | 1088 | 0.3555          | 0.9329   |
| 0.0           | 9.0   | 1152 | 0.3531          | 0.9329   |
| 0.0           | 9.5   | 1216 | 0.3532          | 0.9329   |
| 0.0           | 10.0  | 1280 | 0.3536          | 0.9329   |
| 0.0           | 10.5  | 1344 | 0.3538          | 0.9329   |
| 0.0           | 11.0  | 1408 | 0.3529          | 0.9329   |
| 0.0           | 11.5  | 1472 | 0.3559          | 0.9329   |
| 0.0           | 12.0  | 1536 | 0.3563          | 0.9329   |
| 0.0           | 12.5  | 1600 | 0.3553          | 0.9329   |
| 0.0           | 13.0  | 1664 | 0.3575          | 0.9329   |
| 0.0           | 13.5  | 1728 | 0.3570          | 0.9329   |
| 0.0           | 14.0  | 1792 | 0.3577          | 0.9329   |
| 0.0           | 14.5  | 1856 | 0.3577          | 0.9329   |
| 0.0           | 15.0  | 1920 | 0.3577          | 0.9329   |


### 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