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A second walkthrough of GRPO training with verifiable rewards
A post outlines a follow-up lesson covering training metrics, clipped policy ratios, a KL loss term and format rewards.
TLDR
A post presents a second “Reasoning From Scratch” installment on reinforcement learning with verifiable rewards. Its chapter list moves from reading GRPO training metrics and diagnosing unstable runs to evaluating checkpoints on MATH-500 and tracking advantage and entropy. Later sections cover clipped policy ratios, a KL loss term, format rewards and next steps in distillation.
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