---
base_model: Qwen/Qwen2.5-Coder-7B-Instruct
library_name: transformers
datasets:
- fengyao1909/SecCodePLT_Plus
tags:
- code
- security
- grpo
- seccodeplt
---

# seccodeplt-qwen2.5-coder-7b-grpo-kl-beta-0.001-real-reward-v2

GRPO with KL regularization (beta=0.001) for the SecCodePLT+ compliance experiment using
`Qwen/Qwen2.5-Coder-7B-Instruct`. This v2 run corrects causal-label alignment and uses the
official ReaL safety-unit-test reward with DAPO-style token loss and dynamic
sampling. 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 | 0.511317 |
| Output format pass | 98.78% |
| Syntax pass | 98.17% |
| Capability pass | 38.41% |
| Safety pass | 64.02% |
| Joint pass | 31.10% |

## 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.