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# swin-tiny-patch4-window7-224-hotel_classifier_v1

This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1932
- Accuracy: 0.9374

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3281        | 1.0   | 792  | 0.2726          | 0.9074   |
| 0.3858        | 2.0   | 1584 | 0.2388          | 0.9191   |
| 0.3153        | 3.0   | 2376 | 0.2123          | 0.9270   |
| 0.3438        | 4.0   | 3169 | 0.2063          | 0.9289   |
| 0.3219        | 5.0   | 3961 | 0.2061          | 0.9283   |
| 0.2293        | 6.0   | 4753 | 0.1965          | 0.9333   |
| 0.264         | 7.0   | 5545 | 0.1966          | 0.9360   |
| 0.2112        | 8.0   | 6338 | 0.1964          | 0.9340   |
| 0.2716        | 9.0   | 7130 | 0.1969          | 0.9350   |
| 0.1938        | 10.0  | 7920 | 0.1932          | 0.9374   |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2

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