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# vit-for-kaggle-mayo-clinic

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5538
- Accuracy: 0.7616

## 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: 0.0003
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 10   | 0.5944          | 0.7483   |
| No log        | 2.0   | 20   | 0.5640          | 0.7483   |
| No log        | 3.0   | 30   | 0.5582          | 0.7483   |
| No log        | 4.0   | 40   | 0.5585          | 0.7483   |
| No log        | 5.0   | 50   | 0.5598          | 0.7483   |
| No log        | 6.0   | 60   | 0.5484          | 0.7483   |
| No log        | 7.0   | 70   | 0.5524          | 0.7417   |
| No log        | 8.0   | 80   | 0.5538          | 0.7616   |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1

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