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# convnextv2-base-1k-224_rice-leaf-disease-augmented-v4_tl

This model is a fine-tuned version of [facebook/convnextv2-base-1k-224](https://huggingface.co/facebook/convnextv2-base-1k-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8337
- Accuracy: 0.7416

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.0668        | 0.5   | 64   | 2.0394          | 0.2315   |
| 1.9552        | 1.0   | 128  | 1.8918          | 0.4732   |
| 1.7698        | 1.5   | 192  | 1.7030          | 0.5503   |
| 1.5743        | 2.0   | 256  | 1.5134          | 0.5906   |
| 1.407         | 2.5   | 320  | 1.3642          | 0.6141   |
| 1.2913        | 3.0   | 384  | 1.2665          | 0.6141   |
| 1.2168        | 3.5   | 448  | 1.2017          | 0.6342   |
| 1.1533        | 4.0   | 512  | 1.1555          | 0.6376   |
| 1.1233        | 4.5   | 576  | 1.1270          | 0.6477   |
| 1.0956        | 5.0   | 640  | 1.1135          | 0.6745   |
| 1.0896        | 5.5   | 704  | 1.1057          | 0.6745   |
| 1.0753        | 6.0   | 768  | 1.1023          | 0.6779   |
| 1.0847        | 6.5   | 832  | 1.0877          | 0.6879   |
| 1.032         | 7.0   | 896  | 1.0350          | 0.7047   |
| 1.0147        | 7.5   | 960  | 0.9967          | 0.6980   |
| 0.9511        | 8.0   | 1024 | 0.9739          | 0.7013   |
| 0.9373        | 8.5   | 1088 | 0.9508          | 0.7013   |
| 0.9326        | 9.0   | 1152 | 0.9413          | 0.7114   |
| 0.9241        | 9.5   | 1216 | 0.9334          | 0.7181   |
| 0.903         | 10.0  | 1280 | 0.9299          | 0.7215   |
| 0.9152        | 10.5  | 1344 | 0.9290          | 0.7215   |
| 0.8964        | 11.0  | 1408 | 0.9093          | 0.7349   |
| 0.8792        | 11.5  | 1472 | 0.8971          | 0.7248   |
| 0.8604        | 12.0  | 1536 | 0.8656          | 0.7416   |
| 0.8454        | 12.5  | 1600 | 0.8580          | 0.7416   |
| 0.8219        | 13.0  | 1664 | 0.8458          | 0.7416   |
| 0.8147        | 13.5  | 1728 | 0.8380          | 0.7483   |
| 0.8137        | 14.0  | 1792 | 0.8352          | 0.7416   |
| 0.8032        | 14.5  | 1856 | 0.8339          | 0.7450   |
| 0.8118        | 15.0  | 1920 | 0.8337          | 0.7416   |


### 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