
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# vit-base-fashion

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the zalando-datasets/fashion_mnist dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2513
- Accuracy: 0.9102

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2888        | 1.0   | 3000  | 0.2934          | 0.8917   |
| 0.3066        | 2.0   | 6000  | 0.2694          | 0.9013   |
| 0.2722        | 3.0   | 9000  | 0.2589          | 0.9042   |
| 0.2593        | 4.0   | 12000 | 0.2576          | 0.9048   |
| 0.2422        | 5.0   | 15000 | 0.2540          | 0.9078   |


### Framework versions

- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1

9 0 3 2 7 5 1 6 4 8