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# resnet-152_rice-leaf-disease-augmented-v4_fft

This model is a fine-tuned version of [microsoft/resnet-152](https://huggingface.co/microsoft/resnet-152) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4358
- Accuracy: 0.8826

## 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.0697        | 0.5   | 64   | 2.0540          | 0.2383   |
| 2.0249        | 1.0   | 128  | 1.9791          | 0.4128   |
| 1.9118        | 1.5   | 192  | 1.8160          | 0.5503   |
| 1.6801        | 2.0   | 256  | 1.4791          | 0.6208   |
| 1.2937        | 2.5   | 320  | 1.0910          | 0.7013   |
| 0.9457        | 3.0   | 384  | 0.7744          | 0.7651   |
| 0.6634        | 3.5   | 448  | 0.6534          | 0.7852   |
| 0.5443        | 4.0   | 512  | 0.5658          | 0.8255   |
| 0.415         | 4.5   | 576  | 0.5184          | 0.8322   |
| 0.3648        | 5.0   | 640  | 0.4861          | 0.8456   |
| 0.3178        | 5.5   | 704  | 0.4788          | 0.8557   |
| 0.3126        | 6.0   | 768  | 0.4815          | 0.8423   |
| 0.3164        | 6.5   | 832  | 0.4723          | 0.8591   |
| 0.2484        | 7.0   | 896  | 0.4324          | 0.8523   |
| 0.1767        | 7.5   | 960  | 0.4159          | 0.8691   |
| 0.1414        | 8.0   | 1024 | 0.3875          | 0.8893   |
| 0.0888        | 8.5   | 1088 | 0.4114          | 0.8826   |
| 0.0807        | 9.0   | 1152 | 0.3925          | 0.8893   |
| 0.0513        | 9.5   | 1216 | 0.3893          | 0.8859   |
| 0.0537        | 10.0  | 1280 | 0.4182          | 0.8826   |
| 0.046         | 10.5  | 1344 | 0.4078          | 0.8893   |
| 0.0444        | 11.0  | 1408 | 0.4308          | 0.8792   |
| 0.0356        | 11.5  | 1472 | 0.4438          | 0.8826   |
| 0.0327        | 12.0  | 1536 | 0.4852          | 0.8725   |
| 0.0209        | 12.5  | 1600 | 0.4623          | 0.8859   |
| 0.0196        | 13.0  | 1664 | 0.4616          | 0.8859   |
| 0.0124        | 13.5  | 1728 | 0.4645          | 0.8792   |
| 0.0135        | 14.0  | 1792 | 0.4367          | 0.8926   |
| 0.0107        | 14.5  | 1856 | 0.4623          | 0.8859   |
| 0.0101        | 15.0  | 1920 | 0.4358          | 0.8826   |


### 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