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# poison-distill-vit-imagenet-teacher

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: -1.3063
- Accuracy: 0.5038

## 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: 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| -0.1813       | 1.0   | 130  | -0.9692         | 0.5113   |
| -0.3694       | 2.0   | 260  | -0.9944         | 0.5263   |
| -0.3258       | 3.0   | 390  | -1.2729         | 0.3835   |
| -0.4198       | 4.0   | 520  | -1.1187         | 0.5038   |
| -0.5634       | 5.0   | 650  | -1.3899         | 0.5338   |
| -0.8886       | 6.0   | 780  | -0.4891         | 0.4962   |
| -1.0453       | 7.0   | 910  | -1.5857         | 0.4812   |
| -1.5477       | 8.0   | 1040 | -1.5516         | 0.4887   |
| -1.5745       | 9.0   | 1170 | -1.7739         | 0.4737   |
| -1.7883       | 10.0  | 1300 | -1.6647         | 0.4586   |


### Framework versions

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

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