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# mobilevit_ai_real_classifier

This model is a fine-tuned version of [apple/mobilevit-small](https://huggingface.co/apple/mobilevit-small) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1279
- Accuracy: 0.9567

## 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: 64
- eval_batch_size: 64
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2617        | 1.0   | 219  | 0.2093          | 0.918    |
| 0.2115        | 2.0   | 438  | 0.1867          | 0.921    |
| 0.1832        | 3.0   | 657  | 0.2291          | 0.9135   |
| 0.1516        | 4.0   | 876  | 0.1993          | 0.9175   |
| 0.1303        | 5.0   | 1095 | 0.1567          | 0.945    |
| 0.1113        | 6.0   | 1314 | 0.1590          | 0.947    |
| 0.0992        | 7.0   | 1533 | 0.1634          | 0.94     |
| 0.0794        | 8.0   | 1752 | 0.1702          | 0.9445   |
| 0.0819        | 9.0   | 1971 | 0.1566          | 0.949    |
| 0.0725        | 10.0  | 2190 | 0.1620          | 0.949    |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1

fake real