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# vit-base-augmented-ph2-patch-16

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 ahishamm/Augmented_PH2_db_sharpened dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5420
- Accuracy: 0.8444
- Recall: 0.8444
- F1: 0.8444
- Precision: 0.8444

## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | F1     | Precision |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
| 0.0592        | 0.36  | 50   | 0.7161          | 0.8068   | 0.8068 | 0.8068 | 0.8068    |
| 0.0703        | 0.72  | 100  | 0.5420          | 0.8444   | 0.8444 | 0.8444 | 0.8444    |
| 0.0042        | 1.09  | 150  | 0.5557          | 0.8821   | 0.8821 | 0.8821 | 0.8821    |
| 0.0034        | 1.45  | 200  | 0.6464          | 0.8701   | 0.8701 | 0.8701 | 0.8701    |
| 0.0023        | 1.81  | 250  | 0.7943          | 0.8410   | 0.8410 | 0.8410 | 0.8410    |
| 0.0018        | 2.17  | 300  | 0.7109          | 0.8598   | 0.8598 | 0.8598 | 0.8598    |
| 0.0015        | 2.54  | 350  | 0.7254          | 0.8598   | 0.8598 | 0.8598 | 0.8598    |
| 0.0013        | 2.9   | 400  | 0.7364          | 0.8598   | 0.8598 | 0.8598 | 0.8598    |
| 0.0013        | 3.26  | 450  | 0.7438          | 0.8615   | 0.8615 | 0.8615 | 0.8615    |
| 0.0012        | 3.62  | 500  | 0.7489          | 0.8615   | 0.8615 | 0.8615 | 0.8615    |
| 0.0012        | 3.99  | 550  | 0.7506          | 0.8615   | 0.8615 | 0.8615 | 0.8615    |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3

benign malignant