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# swin-tiny-patch4-window7-224-spa_saloon_classification-spa-saloon

This model is a fine-tuned version of [100rab25/swin-tiny-patch4-window7-224-spa_saloon_classification](https://huggingface.co/100rab25/swin-tiny-patch4-window7-224-spa_saloon_classification) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0971
- Accuracy: 0.9652

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2504        | 0.99  | 20   | 0.1401          | 0.9512   |
| 0.2051        | 1.98  | 40   | 0.1083          | 0.9652   |
| 0.1894        | 2.96  | 60   | 0.0939          | 0.9652   |
| 0.1115        | 4.0   | 81   | 0.0880          | 0.9686   |
| 0.117         | 4.94  | 100  | 0.0971          | 0.9652   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

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