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# vit-base-patch16-224-finetuned-covid_ct_set_full

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1225
- Accuracy: 0.9627

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4343        | 0.99  | 29   | 0.1945          | 0.9298   |
| 0.2353        | 1.98  | 58   | 0.2052          | 0.9290   |
| 0.1395        | 2.97  | 87   | 0.2567          | 0.9075   |
| 0.1399        | 4.0   | 117  | 0.1225          | 0.9627   |
| 0.1186        | 4.96  | 145  | 0.1531          | 0.9521   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3

covid normal