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# swin-dog-food

This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-base-patch4-window12-192-22k) on the sasha/dog-food dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0015
- Accuracy: 1.0

## 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: 0.0003
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 53   | 0.0069          | 1.0      |
| 0.0765        | 2.0   | 106  | 0.0032          | 1.0      |
| 0.0765        | 3.0   | 159  | 0.0023          | 1.0      |
| 0.0037        | 4.0   | 212  | 0.0019          | 1.0      |
| 0.0037        | 5.0   | 265  | 0.0018          | 1.0      |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2

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