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# TransparentBagClassifier

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0411
- Accuracy: 0.9955

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0694        | 1.0   | 158  | 0.0719          | 0.9821   |
| 0.0871        | 2.0   | 316  | 0.0411          | 0.9955   |
| 0.0561        | 3.0   | 474  | 0.0419          | 0.9910   |
| 0.0673        | 4.0   | 632  | 0.0424          | 0.9865   |
| 0.0099        | 5.0   | 790  | 0.0517          | 0.9821   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cpu
- Datasets 3.0.0
- Tokenizers 0.19.1

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