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# deit-tiny-patch16-224_rice-leaf-disease-augmented-v4_fft

This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4514
- Accuracy: 0.9161

## 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 | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 1.9687        | 0.5   | 64   | 0.4430   | 1.7115          |
| 1.2893        | 1.0   | 128  | 0.7215   | 0.8590          |
| 0.6713        | 1.5   | 192  | 0.8255   | 0.5154          |
| 0.4203        | 2.0   | 256  | 0.8725   | 0.3670          |
| 0.195         | 2.5   | 320  | 0.8826   | 0.3335          |
| 0.138         | 3.0   | 384  | 0.8926   | 0.3436          |
| 0.0499        | 3.5   | 448  | 0.9295   | 0.2509          |
| 0.03          | 4.0   | 512  | 0.9060   | 0.3101          |
| 0.0095        | 4.5   | 576  | 0.9128   | 0.3378          |
| 0.0044        | 5.0   | 640  | 0.9262   | 0.2718          |
| 0.0021        | 5.5   | 704  | 0.9094   | 0.3010          |
| 0.0018        | 6.0   | 768  | 0.9195   | 0.2916          |
| 0.0017        | 6.5   | 832  | 0.9295   | 0.3134          |
| 0.0043        | 7.0   | 896  | 0.9161   | 0.4023          |
| 0.0057        | 7.5   | 960  | 0.8826   | 0.4991          |
| 0.0072        | 8.0   | 1024 | 0.9060   | 0.3925          |
| 0.0021        | 8.5   | 1088 | 0.9128   | 0.4229          |
| 0.0012        | 9.0   | 1152 | 0.9195   | 0.4050          |
| 0.0003        | 9.5   | 1216 | 0.9161   | 0.3807          |
| 0.0003        | 10.0  | 1280 | 0.9195   | 0.3871          |
| 0.0003        | 10.5  | 1344 | 0.9195   | 0.3868          |
| 0.0003        | 11.0  | 1408 | 0.9195   | 0.4019          |
| 0.0002        | 11.5  | 1472 | 0.9161   | 0.3947          |
| 0.0002        | 12.0  | 1536 | 0.9195   | 0.3737          |
| 0.0001        | 12.5  | 1600 | 0.9195   | 0.3942          |
| 0.0001        | 13.0  | 1664 | 0.9195   | 0.3979          |
| 0.0001        | 13.5  | 1728 | 0.9195   | 0.3984          |
| 0.0001        | 14.0  | 1792 | 0.9195   | 0.4001          |
| 0.0001        | 14.5  | 1856 | 0.9195   | 0.4000          |
| 0.0001        | 15.0  | 1920 | 0.9195   | 0.3997          |
| 0.0001        | 15.5  | 1984 | 0.4023   | 0.9195          |
| 0.0001        | 16.0  | 2048 | 0.4029   | 0.9195          |
| 0.0001        | 16.5  | 2112 | 0.4068   | 0.9195          |
| 0.0001        | 17.0  | 2176 | 0.4090   | 0.9195          |
| 0.0001        | 17.5  | 2240 | 0.4130   | 0.9195          |
| 0.0001        | 18.0  | 2304 | 0.4115   | 0.9195          |
| 0.0001        | 18.5  | 2368 | 0.4114   | 0.9195          |
| 0.0001        | 19.0  | 2432 | 0.4132   | 0.9195          |
| 0.0001        | 19.5  | 2496 | 0.4132   | 0.9195          |
| 0.0001        | 20.0  | 2560 | 0.4133   | 0.9195          |
| 0.0001        | 20.5  | 2624 | 0.4135   | 0.9195          |
| 0.0001        | 21.0  | 2688 | 0.4267   | 0.9195          |
| 0.0001        | 21.5  | 2752 | 0.4214   | 0.9195          |
| 0.0001        | 22.0  | 2816 | 0.4260   | 0.9161          |
| 0.0001        | 22.5  | 2880 | 0.4318   | 0.9161          |
| 0.0001        | 23.0  | 2944 | 0.4321   | 0.9195          |
| 0.0           | 23.5  | 3008 | 0.4393   | 0.9161          |
| 0.0           | 24.0  | 3072 | 0.4371   | 0.9161          |
| 0.0           | 24.5  | 3136 | 0.4388   | 0.9161          |
| 0.0           | 25.0  | 3200 | 0.4464   | 0.9161          |
| 0.0           | 25.5  | 3264 | 0.4431   | 0.9161          |
| 0.0           | 26.0  | 3328 | 0.4462   | 0.9161          |
| 0.0           | 26.5  | 3392 | 0.4478   | 0.9161          |
| 0.0           | 27.0  | 3456 | 0.4504   | 0.9161          |
| 0.0           | 27.5  | 3520 | 0.4507   | 0.9161          |
| 0.0           | 28.0  | 3584 | 0.4498   | 0.9161          |
| 0.0           | 28.5  | 3648 | 0.4508   | 0.9161          |
| 0.0           | 29.0  | 3712 | 0.4511   | 0.9161          |
| 0.0           | 29.5  | 3776 | 0.4514   | 0.9161          |
| 0.0           | 30.0  | 3840 | 0.4514   | 0.9161          |


### 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