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# 2025-06-01_13-58-11

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: 0.3588
- Accuracy: 0.9571

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6955        | 1.0   | 2    | 0.6818          | 0.6      |
| 0.6482        | 2.0   | 4    | 0.6114          | 0.8429   |
| 0.5613        | 3.0   | 6    | 0.5547          | 0.8714   |
| 0.5062        | 4.0   | 8    | 0.4905          | 0.8714   |
| 0.5174        | 5.0   | 10   | 0.4499          | 0.8857   |
| 0.4428        | 6.0   | 12   | 0.4480          | 0.9286   |
| 0.4778        | 7.0   | 14   | 0.4045          | 0.9143   |
| 0.4379        | 8.0   | 16   | 0.4020          | 0.9429   |
| 0.3983        | 9.0   | 18   | 0.3847          | 0.9571   |
| 0.3377        | 10.0  | 20   | 0.3588          | 0.9571   |


### Framework versions

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

healthy sick