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# vit-hybrid-base-bit-384_rice-leaf-disease-augmented-v4_tl

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: 0.3302
- Accuracy: 0.8926

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2065        | 0.5   | 64   | 1.9827          | 0.2013   |
| 1.7664        | 1.0   | 128  | 1.4356          | 0.6342   |
| 1.2477        | 1.5   | 192  | 1.0109          | 0.7483   |
| 0.9114        | 2.0   | 256  | 0.7301          | 0.8054   |
| 0.7045        | 2.5   | 320  | 0.6434          | 0.8020   |
| 0.6005        | 3.0   | 384  | 0.5446          | 0.8356   |
| 0.5285        | 3.5   | 448  | 0.4954          | 0.8423   |
| 0.4916        | 4.0   | 512  | 0.4607          | 0.8557   |
| 0.4647        | 4.5   | 576  | 0.4562          | 0.8691   |
| 0.4359        | 5.0   | 640  | 0.4426          | 0.8725   |
| 0.429         | 5.5   | 704  | 0.4481          | 0.8591   |
| 0.4277        | 6.0   | 768  | 0.4403          | 0.8691   |
| 0.4356        | 6.5   | 832  | 0.4443          | 0.8658   |
| 0.3963        | 7.0   | 896  | 0.4111          | 0.8792   |
| 0.3911        | 7.5   | 960  | 0.3971          | 0.8758   |
| 0.3516        | 8.0   | 1024 | 0.3753          | 0.8859   |
| 0.3378        | 8.5   | 1088 | 0.3736          | 0.8893   |
| 0.3368        | 9.0   | 1152 | 0.3733          | 0.8859   |
| 0.319         | 9.5   | 1216 | 0.3641          | 0.8826   |
| 0.3235        | 10.0  | 1280 | 0.3648          | 0.8792   |
| 0.3123        | 10.5  | 1344 | 0.3646          | 0.8792   |
| 0.3209        | 11.0  | 1408 | 0.3667          | 0.8792   |
| 0.3106        | 11.5  | 1472 | 0.3583          | 0.8893   |
| 0.2934        | 12.0  | 1536 | 0.3419          | 0.8893   |
| 0.279         | 12.5  | 1600 | 0.3361          | 0.8960   |
| 0.2774        | 13.0  | 1664 | 0.3358          | 0.8826   |
| 0.2636        | 13.5  | 1728 | 0.3279          | 0.8926   |
| 0.2653        | 14.0  | 1792 | 0.3322          | 0.8960   |
| 0.2587        | 14.5  | 1856 | 0.3304          | 0.8926   |
| 0.2588        | 15.0  | 1920 | 0.3302          | 0.8926   |


### 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