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# vit-base-patch16-224-drfx-CT-classifier

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6281
- Accuracy: 0.7059

## 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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 4    | 0.7020          | 0.5294   |
| No log        | 2.0   | 8    | 0.6686          | 0.6471   |
| 0.7085        | 3.0   | 12   | 0.6509          | 0.5882   |
| 0.7085        | 4.0   | 16   | 0.6336          | 0.6471   |
| 0.6847        | 5.0   | 20   | 0.6281          | 0.7059   |
| 0.6847        | 6.0   | 24   | 0.6256          | 0.7059   |
| 0.6847        | 7.0   | 28   | 0.6229          | 0.7059   |
| 0.6814        | 8.0   | 32   | 0.6218          | 0.7059   |
| 0.6814        | 9.0   | 36   | 0.6214          | 0.7059   |
| 0.6717        | 10.0  | 40   | 0.6213          | 0.7059   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

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