Parity results: parity_experiment.json
Browse files- parity_experiment.json +114 -0
parity_experiment.json
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[
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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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"dataset_pr": [],
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"parity_pr": [],
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"metrics": [
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{
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"benchmark_name": "MiMo-V2.6-RL Code",
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"metric": "mean reward",
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"original": "0.556 ± 0.056",
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"harbor": "0.556 ± 0.056",
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"original_runs": [
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0.6667,
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0.5,
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0.5
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],
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"harbor_runs": [
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]
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},
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{
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"benchmark_name": "MiMo-V2.6-RL Cyber",
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"metric": "mean reward",
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"original": "0.822 ± 0.011",
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"harbor": "0.833 ± 0.096",
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"original_runs": [
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0.8,
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"harbor_runs": [
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]
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},
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{
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"benchmark_name": "MiMo-V2.6-RL General",
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"metric": "mean reward",
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"original": "0.844 ± 0.008",
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"harbor": "0.844 ± 0.024",
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"original_runs": [
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0.8423,
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],
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"harbor_runs": [
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]
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},
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{
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"benchmark_name": "MiMo-V2.6-RL Music",
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"metric": "mean reward",
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"original": "0.111 ± 0.063",
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"harbor": "0.317 ± 0.093",
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"original_runs": [
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0.0,
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0.1135,
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],
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"harbor_runs": [
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0.3633
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]
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},
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{
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"benchmark_name": "MiMo-V2.6-RL Terminal",
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"metric": "mean reward",
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"original": "0.278 ± 0.056",
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"harbor": "0.111 ± 0.056",
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"original_runs": [
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0.3333,
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0.3333,
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0.1667
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],
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"harbor_runs": [
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]
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},
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{
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"benchmark_name": "MiMo-V2.6-RL Webdev",
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"metric": "mean reward",
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"original": "0.749 ± 0.049",
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"harbor": "0.738 ± 0.054",
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"original_runs": [
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"harbor_runs": [
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}
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]
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