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language: en
tags:
- gnn
- jailbreak-detection
- text-classification
model-index:
- name: predict_gnn_phi4_14b
results:
- task:
type: text-classification
name: Jailbreak Detection
metrics:
- name: F1
type: f1
value: 0.9411
- name: PR-AUC
type: pr_auc
value: 0.9782
- name: ROC-AUC
type: roc_auc
value: 0.9593
- name: Precision
type: precision
value: 0.9682
- name: Recall
type: recall
value: 0.9163
---
# GNN Jailbreak Prediction Model (phi4:14b)
Homogeneous GNN classifier for unsafe/jailbreak likelihood in multi-turn conversations.
## Evaluation Results
| Metric | Value |
|----------------|--------|
| F1 | 0.9411 |
| PR-AUC | 0.9782 |
| ROC-AUC | 0.9593 |
| Precision | 0.9682 |
| Recall | 0.9163 |
| Best Threshold | 0.270 |
## Training Details
- **Target model**: `phi4:14b`
- **Datasets**: harmbench, harmful_behaviors_1
- **Split column**: `goal`
- **Seed**: `42`
- **Sentence model**: `sentence-transformers/all-MiniLM-L6-v2`
- **Hidden channels**: `128`
- **Num layers**: `2`
- **Dropout**: `0.3`
## Dataset Size (training samples)
Prepared turn-level samples: 707
|