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---
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
|