---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: poison-distill-ViT
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# poison-distill-ViT

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: -53.3057
- Accuracy: 0.7218

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| -13.7561      | 1.0   | 130  | -15.7562        | 0.5789   |
| -20.5455      | 2.0   | 260  | -18.6536        | 0.6165   |
| -25.3189      | 3.0   | 390  | -28.8659        | 0.6241   |
| -32.4562      | 4.0   | 520  | -31.9035        | 0.5940   |
| -37.0539      | 5.0   | 650  | -40.0929        | 0.7068   |
| -43.0244      | 6.0   | 780  | -41.5399        | 0.6466   |
| -46.1567      | 7.0   | 910  | -47.8440        | 0.6692   |
| -51.1963      | 8.0   | 1040 | -51.4154        | 0.6692   |
| -54.7388      | 9.0   | 1170 | -53.5994        | 0.7293   |
| -56.1867      | 10.0  | 1300 | -53.2331        | 0.7293   |


### Framework versions

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