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# Team-me-2008

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1014

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.218         | 1.0   | 65   | 0.1154          |
| 0.0481        | 2.0   | 130  | 0.0741          |
| 0.0278        | 3.0   | 195  | 0.0286          |
| 0.0202        | 4.0   | 260  | 0.0213          |
| 0.0168        | 5.0   | 325  | 0.0178          |
| 0.0146        | 6.0   | 390  | 0.0159          |
| 0.0133        | 7.0   | 455  | 0.0149          |
| 0.0124        | 8.0   | 520  | 0.0141          |
| 0.0118        | 9.0   | 585  | 0.0137          |
| 0.0115        | 10.0  | 650  | 0.0136          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
label_0 label_1 label_2