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# vit-hybrid-base-bit-384_rice-leaf-disease-augmented-v4_fft

This model is a fine-tuned version of [google/vit-hybrid-base-bit-384](https://huggingface.co/google/vit-hybrid-base-bit-384) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2088
- 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: 32
- eval_batch_size: 32
- 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: 512
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4292        | 0.5   | 128  | 0.4627          | 0.8624   |
| 0.2174        | 1.0   | 256  | 0.2352          | 0.9329   |
| 0.0665        | 1.5   | 384  | 0.2893          | 0.9228   |
| 0.0445        | 2.0   | 512  | 0.3565          | 0.9195   |
| 0.0306        | 2.5   | 640  | 0.2905          | 0.9262   |
| 0.0121        | 3.0   | 768  | 0.2445          | 0.9295   |
| 0.0023        | 3.5   | 896  | 0.1721          | 0.9564   |
| 0.0022        | 4.0   | 1024 | 0.1885          | 0.9396   |
| 0.0001        | 4.5   | 1152 | 0.1963          | 0.9430   |
| 0.0           | 5.0   | 1280 | 0.2006          | 0.9430   |
| 0.0           | 5.5   | 1408 | 0.2015          | 0.9430   |
| 0.0           | 6.0   | 1536 | 0.2019          | 0.9430   |
| 0.0           | 6.5   | 1664 | 0.2035          | 0.9430   |
| 0.0           | 7.0   | 1792 | 0.2054          | 0.9430   |
| 0.0           | 7.5   | 1920 | 0.2073          | 0.9396   |
| 0.0           | 8.0   | 2048 | 0.2072          | 0.9430   |
| 0.0           | 8.5   | 2176 | 0.2091          | 0.9430   |
| 0.0           | 9.0   | 2304 | 0.2083          | 0.9430   |
| 0.0           | 9.5   | 2432 | 0.2088          | 0.9430   |
| 0.0           | 10.0  | 2560 | 0.2083          | 0.9430   |
| 0.0           | 10.5  | 2688 | 0.2084          | 0.9430   |
| 0.0           | 11.0  | 2816 | 0.2102          | 0.9430   |
| 0.0           | 11.5  | 2944 | 0.2117          | 0.9430   |
| 0.0           | 12.0  | 3072 | 0.2081          | 0.9430   |
| 0.0           | 12.5  | 3200 | 0.2095          | 0.9430   |
| 0.0           | 13.0  | 3328 | 0.2088          | 0.9430   |
| 0.0           | 13.5  | 3456 | 0.2086          | 0.9430   |
| 0.0           | 14.0  | 3584 | 0.2088          | 0.9430   |
| 0.0           | 14.5  | 3712 | 0.2089          | 0.9430   |
| 0.0           | 15.0  | 3840 | 0.2088          | 0.9430   |


### 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