---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: poison-distill-vit-lowperf-teacher
  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-lowperf-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: -147.2981
- Accuracy: 0.6692

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| -41.2606      | 1.0   | 130  | -56.4288        | 0.4511   |
| -63.2817      | 2.0   | 260  | -71.5028        | 0.5940   |
| -79.4609      | 3.0   | 390  | -89.7701        | 0.5714   |
| -95.0787      | 4.0   | 520  | -104.8132       | 0.6241   |
| -108.1566     | 5.0   | 650  | -113.9035       | 0.6090   |
| -119.6772     | 6.0   | 780  | -127.5839       | 0.6090   |
| -128.6957     | 7.0   | 910  | -135.8344       | 0.5865   |
| -135.677      | 8.0   | 1040 | -141.0722       | 0.5564   |
| -140.7586     | 9.0   | 1170 | -145.1082       | 0.6466   |
| -143.6635     | 10.0  | 1300 | -147.5504       | 0.6617   |


### Framework versions

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