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# poisoned-baseline-vit-base

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4929
- Accuracy: 0.8271

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- 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: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1789        | 1.0   | 130  | 1.2838          | 0.4887   |
| 0.8468        | 2.0   | 260  | 0.6919          | 0.7068   |
| 0.6958        | 3.0   | 390  | 0.7107          | 0.6842   |
| 0.6643        | 4.0   | 520  | 0.5809          | 0.7744   |
| 0.5287        | 5.0   | 650  | 0.5954          | 0.7444   |
| 0.4707        | 6.0   | 780  | 0.4929          | 0.8271   |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3

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