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# fashion-images-pack-types-vit-large-patch16-224-in21k-v3

This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the touchtech/fashion-images-pack-types dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0485
- Accuracy: 0.9908

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- 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 | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 0.1662        | 1.0   | 1696 | 0.9737   | 0.1074          |
| 0.116         | 2.0   | 3392 | 0.9816   | 0.0545          |
| 0.091         | 3.0   | 5088 | 0.9850   | 0.0647          |
| 0.0601        | 4.0   | 6784 | 0.0502   | 0.9887          |
| 0.0438        | 5.0   | 8480 | 0.0485   | 0.9908          |


### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3

model pack-accessory pack-top-l3 pack-bottom-l0 pack-bottom-l1 pack-multi pack-one-piece-l1 pack-shoes pack-top-bottom pack-top-l1 pack-top-l2