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# swin-tiny-patch4-window7-224-finetuned-finetuned

This model is a fine-tuned version of [Angy309/swin-tiny-patch4-window7-224-finetuned](https://huggingface.co/Angy309/swin-tiny-patch4-window7-224-finetuned) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1937
- Accuracy: 0.9365

## 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: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.7093        | 0.9796 | 36   | 0.3130          | 0.8962   |
| 0.4969        | 1.9864 | 73   | 0.1937          | 0.9365   |
| 0.4523        | 2.9388 | 108  | 0.1961          | 0.9288   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1

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