metadata
language: en
tags:
- jailbreak-detection
- deberta-v3
- text-classification
model-index:
- name: predict_llama2_7b
results:
- task:
type: text-classification
name: Jailbreak Detection
metrics:
- name: F1
type: f1
value: 0.912
- name: PR-AUC
type: pr_auc
value: 0.9434
- name: ROC-AUC
type: roc_auc
value: 0.9705
- name: Precision
type: precision
value: 0.9048
- name: Recall
type: recall
value: 0.9194
Jailbreak Prediction Model: llama2:7b
Fine-tuned DeBERTa-v3-base for detecting unsafe/jailbreak prompts in multi-turn conversations.
Evaluation Results (best fold: 2)
| Metric | Value |
|---|---|
| F1 | 0.9120 |
| PR-AUC | 0.9434 |
| ROC-AUC | 0.9705 |
| Precision | 0.9048 |
| Recall | 0.9194 |
| Best Threshold | 0.35 |
Training Details
- Base model:
microsoft/deberta-v3-base - Target model:
llama2:7b - Datasets: HarmBench
- K-Folds: 5
- Epochs: 5
- Learning Rate: 2e-05
- Max Length: 512
- Input format: turns only