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# vit-base-patch16-224-in21k-finetuned-footulcer

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 imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0555
- Accuracy: 1.0

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.97  | 8    | 0.6026          | 0.7069   |
| 0.6438        | 1.94  | 16   | 0.5132          | 0.7328   |
| 0.4569        | 2.91  | 24   | 0.4402          | 0.7586   |
| 0.3098        | 4.0   | 33   | 0.2934          | 0.8448   |
| 0.2204        | 4.97  | 41   | 0.2969          | 0.8879   |
| 0.2204        | 5.94  | 49   | 0.1356          | 0.9655   |
| 0.1668        | 6.91  | 57   | 0.0659          | 0.9914   |
| 0.1531        | 8.0   | 66   | 0.0555          | 1.0      |
| 0.1096        | 8.97  | 74   | 0.0913          | 0.9741   |
| 0.112         | 9.94  | 82   | 0.0454          | 0.9914   |
| 0.1095        | 10.91 | 90   | 0.0463          | 0.9914   |
| 0.1095        | 12.0  | 99   | 0.0648          | 0.9914   |
| 0.0829        | 12.97 | 107  | 0.0427          | 0.9914   |
| 0.0741        | 13.94 | 115  | 0.0514          | 0.9914   |
| 0.0679        | 14.55 | 120  | 0.0548          | 0.9914   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2

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