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# 2025-05-30_11-48-34

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 generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3985
- Accuracy: 1.0

## 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: 256
- eval_batch_size: 256
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7264        | 1.0   | 1    | 0.7131          | 0.5      |
| 0.7239        | 2.0   | 2    | 0.6431          | 0.5      |
| 0.6495        | 3.0   | 3    | 0.5960          | 0.5833   |
| 0.5979        | 4.0   | 4    | 0.5529          | 0.8333   |
| 0.5506        | 5.0   | 5    | 0.5156          | 1.0      |
| 0.5064        | 6.0   | 6    | 0.4762          | 1.0      |
| 0.4715        | 7.0   | 7    | 0.4439          | 1.0      |
| 0.4309        | 8.0   | 8    | 0.4305          | 1.0      |
| 0.4172        | 9.0   | 9    | 0.4192          | 1.0      |
| 0.3853        | 10.0  | 10   | 0.3985          | 1.0      |


### Framework versions

- Transformers 4.52.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1

healthy sick