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Parity results: parity_experiment.json

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  1. parity_experiment.json +114 -0
parity_experiment.json ADDED
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+ {
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+ "adapter_name": "mimo-v2.6-rl",
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+ "agent": "opencode@1.18.32 (mimo_opencode)",
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+ "model": "zai-org/GLM-5.3 via deepinfra, reasoning_effort low",
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+ "date": "2026-09-27",
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+ "adapted_benchmark_size": 7780,
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+ "parity_benchmark_size": 36,
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+ "number_of_runs": 3,
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+ "notes": "Original side: the MiMo RL Environment Explorer runner (Xiaomi's harness: XiaomiMiMo/verl a2ad9f6 + mimoagent 467f0a1). Parity subset: 6 tasks per dataset, fixed by sha256(task id) (--split parity). Same agent version, model, provider, thinking level, step limits, 65,536-token replies, judges (Inkling, Llama-4-Maverick) and sandbox flavors on both sides. Per-run score = mean reward over the tasks that side scored; trials that failed for infrastructure reasons (sandbox API timeouts) were rerun, and arvo_49407 run 1 failed on both sides (the agent starved a 2-vCPU sandbox) and is excluded on both. Music differs by design: one completion on the original side, up to 4 write-only steps in Harbor.",
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+ "original_parity_repo": "https://github.com/adithya-s-k/FineEnvs/tree/mimo-explorer-rollouts/mimo-explorer",
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+ "adapter_pr": [],
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+ "parity_pr": [],
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+ "metrics": [
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+ "benchmark_name": "MiMo-V2.6-RL Code",
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+ "metric": "mean reward",
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