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# vit-hybrid-base-bit-384_rice-leaf-disease-augmented-v4_v5_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: 0.2360
- Accuracy: 0.9664

## 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: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 1.3979        | 0.5   | 128  | 0.8289   | 0.5143          |
| 0.225         | 1.0   | 256  | 0.9228   | 0.2283          |
| 0.0585        | 1.5   | 384  | 0.9094   | 0.2963          |
| 0.062         | 2.0   | 512  | 0.9530   | 0.1543          |
| 0.0166        | 2.5   | 640  | 0.9295   | 0.3726          |
| 0.0189        | 3.0   | 768  | 0.9430   | 0.2889          |
| 0.0126        | 3.5   | 896  | 0.9497   | 0.2025          |
| 0.0031        | 4.0   | 1024 | 0.9597   | 0.2456          |
| 0.0001        | 4.5   | 1152 | 0.9631   | 0.2122          |
| 0.0           | 5.0   | 1280 | 0.9631   | 0.2111          |
| 0.0           | 5.5   | 1408 | 0.9631   | 0.2112          |
| 0.0           | 6.0   | 1536 | 0.9631   | 0.2110          |
| 0.0           | 6.5   | 1664 | 0.9631   | 0.2110          |
| 0.0           | 7.0   | 1792 | 0.9631   | 0.2117          |
| 0.0           | 7.5   | 1920 | 0.9631   | 0.2121          |
| 0.0           | 8.0   | 2048 | 0.9631   | 0.2133          |
| 0.0           | 8.5   | 2176 | 0.9631   | 0.2144          |
| 0.0           | 9.0   | 2304 | 0.9631   | 0.2148          |
| 0.0           | 9.5   | 2432 | 0.9631   | 0.2155          |
| 0.0           | 10.0  | 2560 | 0.9631   | 0.2154          |
| 0.0           | 10.5  | 2688 | 0.9631   | 0.2154          |
| 0.0           | 11.0  | 2816 | 0.9631   | 0.2154          |
| 0.0           | 11.5  | 2944 | 0.9631   | 0.2152          |
| 0.0           | 12.0  | 3072 | 0.9631   | 0.2162          |
| 0.0           | 12.5  | 3200 | 0.9631   | 0.2184          |
| 0.0           | 13.0  | 3328 | 0.9631   | 0.2174          |
| 0.0           | 13.5  | 3456 | 0.2183   | 0.9664          |
| 0.0           | 14.0  | 3584 | 0.2189   | 0.9664          |
| 0.0           | 14.5  | 3712 | 0.2194   | 0.9664          |
| 0.0           | 15.0  | 3840 | 0.2194   | 0.9664          |
| 0.0           | 15.5  | 3968 | 0.2194   | 0.9664          |
| 0.0           | 16.0  | 4096 | 0.2194   | 0.9664          |
| 0.0           | 16.5  | 4224 | 0.2212   | 0.9664          |
| 0.0           | 17.0  | 4352 | 0.2221   | 0.9664          |
| 0.0           | 17.5  | 4480 | 0.2231   | 0.9664          |
| 0.0           | 18.0  | 4608 | 0.2227   | 0.9664          |
| 0.0           | 18.5  | 4736 | 0.2237   | 0.9664          |
| 0.0           | 19.0  | 4864 | 0.2237   | 0.9664          |
| 0.0           | 19.5  | 4992 | 0.2240   | 0.9664          |
| 0.0           | 20.0  | 5120 | 0.2240   | 0.9664          |
| 0.0           | 20.5  | 5248 | 0.2241   | 0.9664          |
| 0.0           | 21.0  | 5376 | 0.2239   | 0.9664          |
| 0.0           | 21.5  | 5504 | 0.2245   | 0.9664          |
| 0.0           | 22.0  | 5632 | 0.2267   | 0.9664          |
| 0.0           | 22.5  | 5760 | 0.2271   | 0.9664          |
| 0.0           | 23.0  | 5888 | 0.2285   | 0.9664          |
| 0.0           | 23.5  | 6016 | 0.2285   | 0.9664          |
| 0.0           | 24.0  | 6144 | 0.2289   | 0.9664          |
| 0.0           | 24.5  | 6272 | 0.2292   | 0.9664          |
| 0.0           | 25.0  | 6400 | 0.2293   | 0.9664          |
| 0.0           | 25.5  | 6528 | 0.2298   | 0.9664          |
| 0.0           | 26.0  | 6656 | 0.2309   | 0.9664          |
| 0.0           | 26.5  | 6784 | 0.2316   | 0.9664          |
| 0.0           | 27.0  | 6912 | 0.2330   | 0.9664          |
| 0.0           | 27.5  | 7040 | 0.2348   | 0.9664          |
| 0.0           | 28.0  | 7168 | 0.2350   | 0.9664          |
| 0.0           | 28.5  | 7296 | 0.2357   | 0.9664          |
| 0.0           | 29.0  | 7424 | 0.2358   | 0.9664          |
| 0.0           | 29.5  | 7552 | 0.2360   | 0.9664          |
| 0.0           | 30.0  | 7680 | 0.2360   | 0.9664          |


### 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