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olmo32b — MATH-500 eval rollouts
MATH-500 evaluation rollouts for the Olmo-3-32B GRPO run (base allenai/Olmo-3-1125-32B,
RL-Zero prompt, LoRA r=64, 300 steps). Adapters: ReasoningRegisters/olmo32b.
Layout (same as qwen14b-math500-eval-rollouts):
vanilla/step{0,50,100,150,200,250,300}/— plain prompt, 500 problems × 8 rollouts, T=0.6, top-p 0.95, 8,192-token cap. step0 = base model; step50+ scored on merged weights.vanilla/step300_roll32/— final row: 500 × 32 rollouts, 16,384-token cap.cue/step0/— base model with the forced opener\n\nOkay,in the prompt (the condition the cue-forced run trains in). Later cue steps land as that run's checkpoints are evaluated.
Each directory holds 8 shard_XX.json (per-problem counts: n, c_correct, c_commit,
c_capped) and 8 text_shard_XX.jsonl (one line per rollout: problem_key, rollout,
gt, correct, capped, n_tokens, full text).
Headline numbers: vanilla pass@1 0.6747 (step0) → 0.9167 (step300); final row 0.9268; cue step0 0.8518.
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