XGBoost Jailbreak Prediction Model: qwen3:8b

XGBoost + TF-IDF classifier for unsafe/jailbreak likelihood in multi-turn conversations.

Evaluation Results (best fold: 1)

Metric Value
F1 0.8244
PR-AUC 0.8885
ROC-AUC 0.9692
Precision 0.7714
Recall 0.8852
Best Threshold 0.40

Training Details

  • Target model: qwen3:8b
  • Datasets: HarmBench
  • K-Folds: 5
  • Input format: category + goal + turns
  • TF-IDF ngram_range: (1, 2)
  • TF-IDF max_features: 120000
  • XGBoost n_estimators: 961
  • XGBoost learning_rate: 0.03945475871427614
  • XGBoost max_depth: 6

Dataset Size (before turn expansion)

Original rows (after cleaning and balancing): 510 (unsafe: 0, safe: 0)

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Evaluation results