---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: poison-distill
  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

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: -42.4617
- Accuracy: 0.6165

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| -1.7321       | 1.0   | 130  | -17.9718        | 0.4135   |
| -10.3826      | 2.0   | 260  | -21.0786        | 0.4286   |
| -15.9561      | 3.0   | 390  | -30.7402        | 0.3609   |
| -20.4105      | 4.0   | 520  | -8.7054         | 0.6090   |
| -23.6697      | 5.0   | 650  | -41.1276        | 0.5263   |
| -28.1385      | 6.0   | 780  | -53.7167        | 0.4135   |
| -30.4932      | 7.0   | 910  | -54.0164        | 0.3609   |
| -33.5563      | 8.0   | 1040 | -49.4077        | 0.3233   |
| -36.6955      | 9.0   | 1170 | -38.3125        | 0.5489   |
| -38.8208      | 10.0  | 1300 | -42.4497        | 0.6842   |
| -40.791       | 11.0  | 1430 | -37.1019        | 0.5789   |
| -43.1559      | 12.0  | 1560 | -38.0363        | 0.3759   |
| -45.1497      | 13.0  | 1690 | -81.5224        | 0.3609   |
| -46.5745      | 14.0  | 1820 | -105.4418       | 0.3609   |
| -47.6707      | 15.0  | 1950 | -70.0515        | 0.5639   |
| -48.1727      | 16.0  | 2080 | -38.0205        | 0.3233   |
| -50.192       | 17.0  | 2210 | -87.6547        | 0.5113   |
| -50.2229      | 18.0  | 2340 | -103.3304       | 0.5263   |
| -50.7076      | 19.0  | 2470 | -45.6348        | 0.5414   |
| -51.8644      | 20.0  | 2600 | -37.3647        | 0.5940   |


### Framework versions

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