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# mjun/tinyvit-musinsa-fashion-classification

This model is a fine-tuned version of [timm/tiny_vit_5m_224.dist_in22k_ft_in1k](https://huggingface.co/timm/tiny_vit_5m_224.dist_in22k_ft_in1k) on an unkown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5282
- Accuracy: 0.7588

## 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: 96
- eval_batch_size: 96
- 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   | 269  | 0.7828          | 0.6390   |
| 0.881         | 2.0   | 538  | 0.7235          | 0.6702   |
| 0.881         | 3.0   | 807  | 0.5733          | 0.7353   |
| 0.5813        | 4.0   | 1076 | 0.5362          | 0.7519   |
| 0.5813        | 5.0   | 1345 | 0.5282          | 0.7588   |


### Framework versions

- Transformers 4.8.1
- Pytorch 1.13.1+cu117
- Datasets 2.7.1
- Tokenizers 0.10.3

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