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anirudhmsu/GRPO-Fine-Tuning-of-Qwen3-1.7B-on-PHYBench-Physics-Benchmark-with-CoT-Reasoning — AI/Bot Repository
Fine-tuned Qwen 3-1.7 B on the open-source PHYBench dataset using memory-light 4-bit LoRA adapters and Group Relative Policy Optimization with Chain-of-Thought prompts. A custom reward (boxed-answer format 0.2 | trace ≥ 6 lines 0.3 | SymPy-verified correctness 0.5) lifts mean reward from 0.19 to 0.54 in 550 Steps.
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