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# swin-base-patch4-window7-224-limb

This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-base-patch4-window7-224-in22k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1854
- Accuracy: 0.3435

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2014
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3555        | 1.0   | 215  | 1.3151          | 0.3196   |
| 1.275         | 2.0   | 430  | 1.2243          | 0.3756   |
| 1.2304        | 3.0   | 645  | 1.1982          | 0.3690   |
| 1.2137        | 4.0   | 860  | 1.1938          | 0.3674   |
| 1.2153        | 5.0   | 1075 | 1.1854          | 0.3435   |


### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1

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