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# vit_epochs5_batch32_lr5e-05_size224_tiles1_seed1_vit_lr2

This model was trained from scratch on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6439
- Accuracy: 0.6277

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.663         | 1.0   | 469  | 0.6695          | 0.5933   |
| 0.6377        | 2.0   | 938  | 0.6568          | 0.6115   |
| 0.6441        | 3.0   | 1407 | 0.6677          | 0.5915   |
| 0.6687        | 4.0   | 1876 | 0.6435          | 0.6317   |
| 0.6455        | 5.0   | 2345 | 0.6439          | 0.6277   |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.19.1

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