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

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 image_folder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5817
- Accuracy: 0.8307

## 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: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9655        | 0.99  | 83   | 0.8374          | 0.7323   |
| 0.648         | 1.99  | 166  | 0.6449          | 0.7931   |
| 0.5058        | 2.99  | 249  | 0.6082          | 0.8074   |
| 0.3272        | 3.99  | 332  | 0.5766          | 0.8254   |
| 0.2569        | 4.99  | 415  | 0.5827          | 0.8217   |
| 0.2226        | 5.99  | 498  | 0.5817          | 0.8307   |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0
- Datasets 2.1.0
- Tokenizers 0.12.1

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