a48ed290ff
Model: xw1234gan/seccodeplt-qwen2.5-coder-3b-grpo-kl-beta-0.001-real-detector-reward-v3 Source: Original Platform
39 lines
1.1 KiB
Markdown
39 lines
1.1 KiB
Markdown
---
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base_model: Qwen/Qwen2.5-Coder-3B-Instruct
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library_name: transformers
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datasets:
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- fengyao1909/SecCodePLT_Plus
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tags:
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- code
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- security
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- grpo
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- seccodeplt
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---
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# seccodeplt-qwen2.5-coder-3b-grpo-kl-beta-0.001-real-detector-reward-v3
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GRPO with KL regularization (beta=0.001) for the SecCodePLT+ compliance experiment using
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`Qwen/Qwen2.5-Coder-3B-Instruct`. This v3 run uses ReaL's program-analysis detector reward
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with DAPO-style token loss and dynamic sampling. The reward is `0.5 *
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capability_test_fraction + 0.5 * max(0, 1 - 0.3 * detected_vulnerabilities)`.
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Training used seed 42 and the official 655-example training split.
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Evaluation used greedy decoding on all 164 official test examples.
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## Evaluation
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| Metric | Value |
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|---|---:|
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| Mean reward | 0.509800 |
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| Output format pass | 96.95% |
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| Syntax pass | 96.95% |
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| Capability pass | 26.83% |
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| Safety pass | 57.93% |
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| Detector clean | 54.27% |
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| Detector score | 0.771951 |
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| Joint pass | 19.51% |
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## Limitations
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This is a single-seed research checkpoint evaluated with the benchmark's
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resource-bounded Python verifier. It is not a general guarantee of secure code.
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