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# fashion-images-pack-types-vit-large-patch16-384-v1

This model is a fine-tuned version of [google/vit-large-patch16-384](https://huggingface.co/google/vit-large-patch16-384) on the touchtech/fashion-images-pack-types dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0446
- Accuracy: 0.9900

## 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: 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: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0823        | 1.0   | 1697 | 0.0661          | 0.9837   |
| 0.0197        | 2.0   | 3394 | 0.0900          | 0.9812   |
| 0.015         | 3.0   | 5091 | 0.0446          | 0.9900   |
| 0.0017        | 4.0   | 6788 | 0.0518          | 0.9912   |
| 0.0           | 5.0   | 8485 | 0.0485          | 0.9917   |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0

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