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# deit-small-patch16-224_rice-leaf-disease-augmented-v4_v5_fft

This model is a fine-tuned version of [facebook/deit-small-patch16-224](https://huggingface.co/facebook/deit-small-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3237
- Accuracy: 0.9430

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.9877        | 0.5   | 64   | 1.6839          | 0.4530   |
| 1.1728        | 1.0   | 128  | 0.7806          | 0.7517   |
| 0.4995        | 1.5   | 192  | 0.4855          | 0.8389   |
| 0.2433        | 2.0   | 256  | 0.2821          | 0.9161   |
| 0.0745        | 2.5   | 320  | 0.3466          | 0.9060   |
| 0.0506        | 3.0   | 384  | 0.3206          | 0.9195   |
| 0.0163        | 3.5   | 448  | 0.2656          | 0.9195   |
| 0.0061        | 4.0   | 512  | 0.2853          | 0.9295   |
| 0.002         | 4.5   | 576  | 0.2004          | 0.9430   |
| 0.0009        | 5.0   | 640  | 0.2256          | 0.9396   |
| 0.0006        | 5.5   | 704  | 0.2412          | 0.9362   |
| 0.0006        | 6.0   | 768  | 0.2381          | 0.9362   |
| 0.0005        | 6.5   | 832  | 0.2384          | 0.9362   |
| 0.0005        | 7.0   | 896  | 0.2366          | 0.9430   |
| 0.0004        | 7.5   | 960  | 0.2608          | 0.9329   |
| 0.0003        | 8.0   | 1024 | 0.2530          | 0.9430   |
| 0.0002        | 8.5   | 1088 | 0.2587          | 0.9396   |
| 0.0002        | 9.0   | 1152 | 0.2602          | 0.9430   |
| 0.0002        | 9.5   | 1216 | 0.2671          | 0.9396   |
| 0.0002        | 10.0  | 1280 | 0.2640          | 0.9396   |
| 0.0002        | 10.5  | 1344 | 0.2637          | 0.9396   |
| 0.0002        | 11.0  | 1408 | 0.2644          | 0.9396   |
| 0.0002        | 11.5  | 1472 | 0.2677          | 0.9396   |
| 0.0001        | 12.0  | 1536 | 0.2767          | 0.9362   |
| 0.0001        | 12.5  | 1600 | 0.2761          | 0.9396   |
| 0.0001        | 13.0  | 1664 | 0.2833          | 0.9396   |
| 0.0001        | 13.5  | 1728 | 0.2810          | 0.9396   |
| 0.0001        | 14.0  | 1792 | 0.2839          | 0.9396   |
| 0.0001        | 14.5  | 1856 | 0.2860          | 0.9396   |
| 0.0001        | 15.0  | 1920 | 0.2846          | 0.9396   |
| 0.0001        | 15.5  | 1984 | 0.2850          | 0.9396   |
| 0.0001        | 16.0  | 2048 | 0.2850          | 0.9396   |
| 0.0001        | 16.5  | 2112 | 0.2854          | 0.9396   |
| 0.0001        | 17.0  | 2176 | 0.2950          | 0.9396   |
| 0.0001        | 17.5  | 2240 | 0.2976          | 0.9396   |
| 0.0001        | 18.0  | 2304 | 0.2972          | 0.9396   |
| 0.0001        | 18.5  | 2368 | 0.2984          | 0.9396   |
| 0.0001        | 19.0  | 2432 | 0.2980          | 0.9396   |
| 0.0001        | 19.5  | 2496 | 0.3003          | 0.9396   |
| 0.0001        | 20.0  | 2560 | 0.3002          | 0.9396   |
| 0.0001        | 20.5  | 2624 | 0.3001          | 0.9396   |
| 0.0001        | 21.0  | 2688 | 0.3030          | 0.9396   |
| 0.0           | 21.5  | 2752 | 0.3009          | 0.9396   |
| 0.0           | 22.0  | 2816 | 0.3065          | 0.9396   |
| 0.0           | 22.5  | 2880 | 0.3093          | 0.9396   |
| 0.0           | 23.0  | 2944 | 0.3082          | 0.9396   |
| 0.0           | 23.5  | 3008 | 0.3105          | 0.9396   |
| 0.0           | 24.0  | 3072 | 0.3112          | 0.9396   |
| 0.0           | 24.5  | 3136 | 0.3115          | 0.9396   |
| 0.0           | 25.0  | 3200 | 0.3117          | 0.9396   |
| 0.0           | 25.5  | 3264 | 0.3091          | 0.9396   |
| 0.0           | 26.0  | 3328 | 0.3159          | 0.9430   |
| 0.0           | 26.5  | 3392 | 0.3166          | 0.9430   |
| 0.0           | 27.0  | 3456 | 0.3231          | 0.9396   |
| 0.0           | 27.5  | 3520 | 0.3229          | 0.9396   |
| 0.0           | 28.0  | 3584 | 0.3223          | 0.9430   |
| 0.0           | 28.5  | 3648 | 0.3246          | 0.9396   |
| 0.0           | 29.0  | 3712 | 0.3229          | 0.9430   |
| 0.0           | 29.5  | 3776 | 0.3234          | 0.9430   |
| 0.0           | 30.0  | 3840 | 0.3237          | 0.9430   |


### 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