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# Beans_disease_classficationv2

This model is a fine-tuned version of [pwk666/Beans_disease_classficationv4](https://huggingface.co/pwk666/Beans_disease_classficationv4) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4798
- Accuracy: 0.9219

## 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: 32
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0115        | 1.0   | 19   | 0.4415          | 0.9453   |
| 0.3081        | 2.0   | 38   | 0.2257          | 0.9453   |
| 0.1559        | 3.0   | 57   | 0.2166          | 0.9453   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.13.3

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