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PRM-agent-rl-artifacts
Training rollouts and evaluation outputs for the GRPO agent runs in this project. Each rollout file is one optimizer step; each line is one sampled trajectory with its decoded prompt, response and reward.
Contents
rollouts/search_r1_qwen3_8b_4gpu— Search-R1 / Qwen3-8B outcome-GRPO training rolloutsrollouts/search_r1_qwen3_8b_perturnnorm— Search-R1 / Qwen3-8B Process-GRPO (per-turn-norm) training rolloutsrollouts/alfworld_qwen3_8b_gigpo— ALFWorld / Qwen3-8B GiGPO training rollouts, one JSONL per optimizer steprollouts/webshop_qwen3_8b_gigpo— WebShop / Qwen3-8B GiGPO training rollouts, one JSONL per optimizer steprollouts/webshop_olmo3_7b_gigpo— WebShop / OLMo-3-7B GiGPO training rollouts, one JSONL per optimizer steprollouts/webshop_olmo3_7b_outcome_2048— WebShop / OLMo-3-7B outcome-GRPO (2048 cap) training rollouts, one JSONL per optimizer steprollouts/webshop_qwen3_8b_process_center_mean_std— WebShop / Qwen3-8B Process-GRPO (center mean_std) training rollouts, abandoned at step 124rollouts/webshop_qwen3_8b_process_std_sum— WebShop / Qwen3-8B Process-GRPO (std sum) training rollouts, abandoned at step 75eval/standalone_eval— Trainer-free checkpoint evaluations: per-step metrics, per-episode trajectories, aggregateseval/search_r1_metrics— Search-R1 per-checkpoint evaluation metrics and per-sample outputs
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