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# DF_Image_VIT_V1

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- F1: 0.6780
- Loss: 0.0492

## 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 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | F1     | Validation Loss |
|:-------------:|:-----:|:-----:|:------:|:---------------:|
| 0.0462        | 1.0   | 4604  | 0.4793 | 0.0570          |
| 0.0006        | 2.0   | 9208  | 0.4261 | 0.0783          |
| 0.0006        | 3.0   | 13812 | 0.6780 | 0.0492          |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0

fake real