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xw1234gan/seccodeplt-qwen2.5-coder-7b-grpo-kl-beta-0.001-real-detector-reward-v3

sourceHugging Faceupdated 1mo agoView on Hugging Face

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seccodeplt-qwen2.5-coder-7b-grpo-kl-beta-0.001-real-detector-reward-v3

GRPO with KL regularization (beta=0.001) for the SecCodePLT+ compliance experiment using Qwen/Qwen2.5-Coder-7B-Instruct. This v3 run uses ReaL's program-analysis detector reward with DAPO-style token loss and dynamic sampling. The reward is 0.5 * capability_test_fraction + 0.5 * max(0, 1 - 0.3 * detected_vulnerabilities). Training used seed 42 and the official 655-example training split. Evaluation used greedy decoding on all 164 official test examples.

Evaluation

Metric	Value
Mean reward	0.581540
Output format pass	98.78%
Syntax pass	97.56%
Capability pass	37.80%
Safety pass	62.80%
Detector clean	60.98%
Detector score	0.784756
Joint pass	30.49%

Limitations

This is a single-seed research checkpoint evaluated with the benchmark's resource-bounded Python verifier. It is not a general guarantee of secure code.