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# vogue

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the vogue-designer-looks dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7083
- Accuracy: 0.8655

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 86   | 1.2303          | 0.6      |
| 1.491         | 2.0   | 172  | 0.9322          | 0.7706   |
| 0.9886        | 3.0   | 258  | 0.7960          | 0.8235   |
| 0.7985        | 4.0   | 344  | 0.7546          | 0.8471   |
| 0.6993        | 5.0   | 430  | 0.7032          | 0.8765   |


### Framework versions

- Transformers 4.50.0
- Pytorch 2.6.0
- Datasets 3.4.1
- Tokenizers 0.21.1

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