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# deit-base-patch16-224_rice-leaf-disease-augmented-v4_tl

This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6434
- Accuracy: 0.7953

## 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: 0.0003
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.1222        | 0.5   | 64   | 2.0509          | 0.1510   |
| 1.9017        | 1.0   | 128  | 1.7781          | 0.4497   |
| 1.5825        | 1.5   | 192  | 1.4769          | 0.5839   |
| 1.3241        | 2.0   | 256  | 1.2365          | 0.6477   |
| 1.1218        | 2.5   | 320  | 1.0798          | 0.7081   |
| 1.0           | 3.0   | 384  | 0.9780          | 0.7148   |
| 0.9197        | 3.5   | 448  | 0.9174          | 0.7181   |
| 0.8642        | 4.0   | 512  | 0.8803          | 0.7450   |
| 0.8318        | 4.5   | 576  | 0.8597          | 0.7617   |
| 0.8052        | 5.0   | 640  | 0.8468          | 0.7584   |
| 0.8015        | 5.5   | 704  | 0.8442          | 0.7584   |
| 0.7837        | 6.0   | 768  | 0.8387          | 0.7617   |
| 0.8052        | 6.5   | 832  | 0.8286          | 0.7584   |
| 0.7411        | 7.0   | 896  | 0.7934          | 0.7685   |
| 0.7309        | 7.5   | 960  | 0.7547          | 0.7785   |
| 0.6879        | 8.0   | 1024 | 0.7408          | 0.7819   |
| 0.6677        | 8.5   | 1088 | 0.7244          | 0.7987   |
| 0.6653        | 9.0   | 1152 | 0.7210          | 0.7886   |
| 0.6526        | 9.5   | 1216 | 0.7123          | 0.7919   |
| 0.6396        | 10.0  | 1280 | 0.7103          | 0.7919   |
| 0.6415        | 10.5  | 1344 | 0.7097          | 0.7919   |
| 0.638         | 11.0  | 1408 | 0.6948          | 0.7953   |
| 0.629         | 11.5  | 1472 | 0.6902          | 0.7953   |
| 0.5986        | 12.0  | 1536 | 0.6603          | 0.7953   |
| 0.5859        | 12.5  | 1600 | 0.6631          | 0.7987   |
| 0.5776        | 13.0  | 1664 | 0.6511          | 0.7953   |
| 0.5639        | 13.5  | 1728 | 0.6433          | 0.7953   |
| 0.5643        | 14.0  | 1792 | 0.6448          | 0.8020   |
| 0.5626        | 14.5  | 1856 | 0.6434          | 0.7953   |
| 0.5522        | 15.0  | 1920 | 0.6434          | 0.7953   |


### 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