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# models

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: -1.0568
- Accuracy: 0.4219

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0517        | 1.0   | 130  | -0.1478         | 0.4361   |
| -0.2131       | 2.0   | 260  | -0.7916         | 0.4737   |
| -0.6796       | 3.0   | 390  | -1.1818         | 0.3910   |
| -1.0059       | 4.0   | 520  | -1.5061         | 0.4737   |
| -1.4067       | 5.0   | 650  | -2.4894         | 0.3835   |
| -1.6574       | 6.0   | 780  | -1.4229         | 0.4211   |
| -1.8941       | 7.0   | 910  | -1.9573         | 0.3684   |
| -2.2115       | 8.0   | 1040 | -1.1340         | 0.2857   |
| -2.4642       | 9.0   | 1170 | -0.4890         | 0.3383   |
| -2.5106       | 10.0  | 1300 | -3.0730         | 0.4586   |
| -2.8623       | 11.0  | 1430 | -1.3475         | 0.4737   |
| -2.8928       | 12.0  | 1560 | -3.6841         | 0.4286   |
| -3.2526       | 13.0  | 1690 | -0.3445         | 0.3158   |
| -3.3179       | 14.0  | 1820 | -4.3698         | 0.4511   |
| -3.5768       | 15.0  | 1950 | -1.2273         | 0.3534   |
| -3.4264       | 16.0  | 2080 | -0.9398         | 0.3383   |
| -3.7022       | 17.0  | 2210 | -4.5067         | 0.3835   |
| -3.7768       | 18.0  | 2340 | -1.5536         | 0.3308   |
| -3.7878       | 19.0  | 2470 | -4.1282         | 0.4737   |
| -4.0069       | 20.0  | 2600 | -1.5285         | 0.4361   |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3

angular_leaf_spot bean_rust healthy