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Training & Fine-tuningMedium· RLHF· Troubleshooting· Reinforcement Learning

Your RLVR training curve is flat and reward isn’t impro...

A flat training curve often indicates that the problem set is not well-calibrated. Before changing the optimizer or adding a PRM, you should re-filter the problem set to ensure a better distribution of difficulty. Additionally, verify that your verifier is not silently accepting incorrect formats, which could mask underlying issues.

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