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# vit-fine-tune-CIFAR-10-100Epochs-v1

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the CIFAR 10 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1420

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0361        | 1.0   | 6250  | 0.1444          |
| 0.0075        | 2.0   | 12500 | 0.1456          |
| 0.0006        | 3.0   | 18750 | 0.1818          |
| 0.1435        | 4.0   | 25000 | 0.1572          |
| 0.0002        | 5.0   | 31250 | 0.1389          |
| 0.0004        | 6.0   | 37500 | 0.1366          |
| 0.0           | 7.0   | 43750 | 0.1531          |
| 0.0           | 8.0   | 50000 | 0.1327          |
| 0.0           | 9.0   | 56250 | 0.1483          |
| 0.0           | 10.0  | 62500 | 0.1420          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1

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