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# dinov2-small_rice-leaf-disease-augmented-v4_v5_fft

This model is a fine-tuned version of [facebook/dinov2-small](https://huggingface.co/facebook/dinov2-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3174
- Accuracy: 0.9463

## 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: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5071        | 0.5   | 64   | 0.6205          | 0.7852   |
| 0.4009        | 1.0   | 128  | 0.3635          | 0.8792   |
| 0.209         | 1.5   | 192  | 0.3144          | 0.8859   |
| 0.2231        | 2.0   | 256  | 0.2716          | 0.9128   |
| 0.1661        | 2.5   | 320  | 0.3476          | 0.8691   |
| 0.1308        | 3.0   | 384  | 0.2279          | 0.9195   |
| 0.067         | 3.5   | 448  | 0.3845          | 0.9195   |
| 0.063         | 4.0   | 512  | 0.3661          | 0.9027   |
| 0.0215        | 4.5   | 576  | 0.3287          | 0.9228   |
| 0.0148        | 5.0   | 640  | 0.2952          | 0.9329   |
| 0.0007        | 5.5   | 704  | 0.3063          | 0.9463   |
| 0.0002        | 6.0   | 768  | 0.2855          | 0.9396   |
| 0.0           | 6.5   | 832  | 0.2888          | 0.9396   |
| 0.0           | 7.0   | 896  | 0.2766          | 0.9463   |
| 0.0           | 7.5   | 960  | 0.2879          | 0.9497   |
| 0.0           | 8.0   | 1024 | 0.2960          | 0.9463   |
| 0.0           | 8.5   | 1088 | 0.2906          | 0.9463   |
| 0.0           | 9.0   | 1152 | 0.2920          | 0.9463   |
| 0.0           | 9.5   | 1216 | 0.2932          | 0.9463   |
| 0.0           | 10.0  | 1280 | 0.2921          | 0.9463   |
| 0.0           | 10.5  | 1344 | 0.2922          | 0.9463   |
| 0.0           | 11.0  | 1408 | 0.2924          | 0.9463   |
| 0.0           | 11.5  | 1472 | 0.2919          | 0.9497   |
| 0.0           | 12.0  | 1536 | 0.2925          | 0.9463   |
| 0.0           | 12.5  | 1600 | 0.2943          | 0.9463   |
| 0.0           | 13.0  | 1664 | 0.2969          | 0.9463   |
| 0.0           | 13.5  | 1728 | 0.2982          | 0.9430   |
| 0.0           | 14.0  | 1792 | 0.2977          | 0.9463   |
| 0.0           | 14.5  | 1856 | 0.2981          | 0.9463   |
| 0.0           | 15.0  | 1920 | 0.2980          | 0.9463   |
| 0.0           | 15.5  | 1984 | 0.2980          | 0.9463   |
| 0.0           | 16.0  | 2048 | 0.2982          | 0.9463   |
| 0.0           | 16.5  | 2112 | 0.2998          | 0.9463   |
| 0.0           | 17.0  | 2176 | 0.3035          | 0.9430   |
| 0.0           | 17.5  | 2240 | 0.3039          | 0.9463   |
| 0.0           | 18.0  | 2304 | 0.3029          | 0.9463   |
| 0.0           | 18.5  | 2368 | 0.3044          | 0.9430   |
| 0.0           | 19.0  | 2432 | 0.3046          | 0.9430   |
| 0.0           | 19.5  | 2496 | 0.3046          | 0.9430   |
| 0.0           | 20.0  | 2560 | 0.3047          | 0.9430   |
| 0.0           | 20.5  | 2624 | 0.3047          | 0.9430   |
| 0.0           | 21.0  | 2688 | 0.3074          | 0.9430   |
| 0.0           | 21.5  | 2752 | 0.3086          | 0.9430   |
| 0.0           | 22.0  | 2816 | 0.3083          | 0.9430   |
| 0.0           | 22.5  | 2880 | 0.3088          | 0.9430   |
| 0.0           | 23.0  | 2944 | 0.3103          | 0.9463   |
| 0.0           | 23.5  | 3008 | 0.3109          | 0.9463   |
| 0.0           | 24.0  | 3072 | 0.3107          | 0.9463   |
| 0.0           | 24.5  | 3136 | 0.3108          | 0.9463   |
| 0.0           | 25.0  | 3200 | 0.3109          | 0.9463   |
| 0.0           | 25.5  | 3264 | 0.3101          | 0.9463   |
| 0.0           | 26.0  | 3328 | 0.3133          | 0.9463   |
| 0.0           | 26.5  | 3392 | 0.3125          | 0.9497   |
| 0.0           | 27.0  | 3456 | 0.3163          | 0.9463   |
| 0.0           | 27.5  | 3520 | 0.3172          | 0.9463   |
| 0.0           | 28.0  | 3584 | 0.3166          | 0.9463   |
| 0.0           | 28.5  | 3648 | 0.3176          | 0.9463   |
| 0.0           | 29.0  | 3712 | 0.3175          | 0.9463   |
| 0.0           | 29.5  | 3776 | 0.3174          | 0.9463   |
| 0.0           | 30.0  | 3840 | 0.3174          | 0.9463   |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.1

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