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# resnet-152_rice-leaf-disease-augmented-v4_tl

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: 1.2256
- Accuracy: 0.6477

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.0703        | 0.5   | 64   | 2.0574          | 0.2383   |
| 2.0334        | 1.0   | 128  | 2.0009          | 0.3826   |
| 1.9632        | 1.5   | 192  | 1.9175          | 0.4732   |
| 1.8743        | 2.0   | 256  | 1.8030          | 0.5570   |
| 1.7723        | 2.5   | 320  | 1.7035          | 0.6007   |
| 1.6895        | 3.0   | 384  | 1.6242          | 0.5839   |
| 1.6201        | 3.5   | 448  | 1.5710          | 0.5839   |
| 1.5769        | 4.0   | 512  | 1.5331          | 0.6074   |
| 1.5417        | 4.5   | 576  | 1.5034          | 0.6107   |
| 1.5175        | 5.0   | 640  | 1.4916          | 0.5940   |
| 1.5083        | 5.5   | 704  | 1.4881          | 0.6074   |
| 1.5006        | 6.0   | 768  | 1.4846          | 0.6040   |
| 1.5107        | 6.5   | 832  | 1.4729          | 0.5805   |
| 1.4573        | 7.0   | 896  | 1.4234          | 0.6174   |
| 1.4301        | 7.5   | 960  | 1.3880          | 0.6174   |
| 1.3891        | 8.0   | 1024 | 1.3660          | 0.6174   |
| 1.3551        | 8.5   | 1088 | 1.3354          | 0.6275   |
| 1.3576        | 9.0   | 1152 | 1.3350          | 0.6208   |
| 1.348         | 9.5   | 1216 | 1.3226          | 0.6342   |
| 1.3288        | 10.0  | 1280 | 1.3211          | 0.6376   |
| 1.3361        | 10.5  | 1344 | 1.3302          | 0.6242   |
| 1.3256        | 11.0  | 1408 | 1.2959          | 0.6275   |
| 1.2922        | 11.5  | 1472 | 1.2862          | 0.6342   |
| 1.2886        | 12.0  | 1536 | 1.2463          | 0.6443   |
| 1.263         | 12.5  | 1600 | 1.2523          | 0.6309   |
| 1.2471        | 13.0  | 1664 | 1.2478          | 0.6409   |
| 1.2389        | 13.5  | 1728 | 1.2363          | 0.6141   |
| 1.2352        | 14.0  | 1792 | 1.2276          | 0.6409   |
| 1.2292        | 14.5  | 1856 | 1.2252          | 0.6510   |
| 1.2203        | 15.0  | 1920 | 1.2256          | 0.6477   |


### 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