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# carmodel

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0675
- F1: 0.9931

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.1732        | 0.31  | 500  | 0.6651          | 0.8403 |
| 0.3989        | 0.62  | 1000 | 0.2942          | 0.9167 |
| 0.2136        | 0.93  | 1500 | 0.1782          | 0.9542 |
| 0.0549        | 1.23  | 2000 | 0.2001          | 0.9639 |
| 0.0287        | 1.54  | 2500 | 0.1304          | 0.9819 |
| 0.0091        | 1.85  | 3000 | 0.1112          | 0.9819 |
| 0.0039        | 2.16  | 3500 | 0.0667          | 0.9917 |
| 0.0023        | 2.47  | 4000 | 0.0708          | 0.9903 |
| 0.0002        | 2.78  | 4500 | 0.0635          | 0.9931 |
| 0.0002        | 3.09  | 5000 | 0.0619          | 0.9931 |
| 0.0002        | 3.4   | 5500 | 0.0730          | 0.9917 |
| 0.0           | 3.7   | 6000 | 0.0684          | 0.9917 |
| 0.0009        | 4.01  | 6500 | 0.0696          | 0.9917 |
| 0.0           | 4.32  | 7000 | 0.0693          | 0.9917 |
| 0.0           | 4.63  | 7500 | 0.0686          | 0.9931 |
| 0.0004        | 4.94  | 8000 | 0.0675          | 0.9931 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

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