
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# resnet-50_rice-leaf-disease-augmented_fft_020125

This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6406
- Accuracy: 0.779

## 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: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.0532        | 1.0   | 250  | 1.9924          | 0.3795   |
| 1.8952        | 2.0   | 500  | 1.7562          | 0.5      |
| 1.6491        | 3.0   | 750  | 1.5051          | 0.5685   |
| 1.4229        | 4.0   | 1000 | 1.2998          | 0.6105   |
| 1.2276        | 5.0   | 1250 | 1.1287          | 0.661    |
| 1.0723        | 6.0   | 1500 | 0.9887          | 0.6965   |
| 0.9462        | 7.0   | 1750 | 0.8832          | 0.7235   |
| 0.8542        | 8.0   | 2000 | 0.8107          | 0.7375   |
| 0.7818        | 9.0   | 2250 | 0.7554          | 0.754    |
| 0.7259        | 10.0  | 2500 | 0.7115          | 0.7585   |
| 0.6918        | 11.0  | 2750 | 0.6865          | 0.7685   |
| 0.6616        | 12.0  | 3000 | 0.6611          | 0.77     |
| 0.6407        | 13.0  | 3250 | 0.6528          | 0.774    |
| 0.6286        | 14.0  | 3500 | 0.6438          | 0.7795   |
| 0.6218        | 15.0  | 3750 | 0.6406          | 0.779    |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0

bacterial leaf blight brown spot healthy rice leaf leaf blast leaf scald narrow brown leaf spot rice hispa sheath blight