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# fashion_classification_3

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0267
- Accuracy: 0.9903

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.167         | 1.0   | 254  | 0.0545          | 0.9828   |
| 0.134         | 2.0   | 508  | 0.0430          | 0.9837   |
| 0.136         | 3.0   | 762  | 0.0363          | 0.9881   |
| 0.0929        | 4.0   | 1017 | 0.0293          | 0.9898   |
| 0.1137        | 5.0   | 1270 | 0.0267          | 0.9903   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

bags belts bottomwear dress eyewear headwear jewellery scarves shoes socks ties topwear wallets watches