---
library_name: transformers
license: apache-2.0
base_model: ashield-ai/prompt-classification-bert
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: jailbreak-prompt-classification
  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. -->

# jailbreak-prompt-classification

This model is a fine-tuned version of [ashield-ai/prompt-classification-bert](https://huggingface.co/ashield-ai/prompt-classification-bert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- F1: 0.4955

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.0           | 1.0   | 6532  | nan             | 0.4955 |
| 0.0           | 2.0   | 13064 | nan             | 0.4955 |
| 0.0           | 3.0   | 19596 | nan             | 0.4955 |
| 0.0           | 4.0   | 26128 | nan             | 0.4955 |
| 0.0           | 5.0   | 32660 | nan             | 0.4955 |


### Framework versions

- Transformers 4.48.0
- Pytorch 2.4.0+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0