Стенд-проверка (stage-2) · промт оператора:

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 10, "verdict": "Implemented leapfrog parameter-momentum updates and compared them with tuned Adam on the structurally appropriate tabular Friedman#1 benchmark using identical mlp_tiny systems and eight paired seeds. The trained-model energy signature confirmed approximately quadratic energy oscillation scaling, but leapfrog test MSE was much worse, so no practical benchmark win was observed.", "metrics": { "baseline": "Adam lr=0.003, weight_decay=0.0; 8-seed test MSE mean=20.874786, std=4.428642", "idea": "Leapfrog h=0.006, mass=1.0; 8-seed test MSE mean=191.327053, std=10.504083", "comparison": "paired delta idea-baseline=+170.452267; idea wins=0/8; permutation p=0.0081" }, "how_to_run": "/home/maxwelhelp/main/bin/python3 stage2_bench.py", "files": [ "stage2_bench.py", "bench_report.json" ], "limitations": "Only tabular/mlp_tiny was tested, with 8 epochs and mass=1.0. No longer-horizon, larger-model, vision, or dynamics run was performed; leapfrog weight decay was not separately tested.", "bench_report": { "bench_version": 1, "track": "tabular", "model": "mlp_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.003, "weight_decay": 0.0 }, "full": { "mean": 20.874786138534546, "std": 4.428642414489589, "per_seed": [ 16.815889358520508, 18.23108673095703, 27.367088317871094, 16.229167938232422, 28.437650680541992, 17.556045532226562, 21.989797592163086, 20.371562957763672 ], "n": 8 }, "sweep": [ { "cfg": { "lr": 0.001, "weight_decay": 0.0 }, "mean": 189.66867446899414 }, { "cfg": { "lr": 0.001, "weight_decay": 0.0001 }, "mean": 189.60668563842773 }, { "cfg": { "lr": 0.003, "weight_decay": 0.0 }, "mean": 19.660808086395264 }, { "cfg": { "lr": 0.003, "weight_decay": 0.0001 }, "mean": 19.741307735443115 }, { "cfg": { "lr": 0.006, "weight_decay": 0.0 }, "mean": 22.842825889587402 }, { "cfg": { "lr": 0.006, "weight_decay": 0.0001 }, "mean": 22.87500286102295 } ] }, "idea": { "best_cfg": { "h": 0.006, "mass": 1.0 }, "mean": 191.32705307006836, "std": 10.504082612747036, "per_seed": [ 198.2303466796875, 194.18316650390625, 201.94972229003906, 189.76544189453125, 178.002685546875, 195.01913452148438, 171.26991271972656, 202.19601440429688 ], "n": 8 }, "comparison": { "delta_mean": 170.4522669315338, "idea_wins": 0, "n_pairs": 8, "per_seed_diffs": [ 181.414457321167, 175.95207977294922, 174.58263397216797, 173.53627395629883, 149.565034866333, 177.4630889892578, 149.28011512756348, 181.8244514465332 ], "p_value": 0.0081, "verdict": "idea worse (significant)", "system_worked": false }, "mechanism_signature": { "prediction": "leapfrog trained-model energy oscillation scales approximately as h^2", "step_sizes": [ 0.001, 0.003, 0.006 ], "observed_energy_ranges": [ 0.011682417884003371, 0.10293819382786751, 0.5033693164587021 ], "loglog_slope": 2.0894278143286225, "confirmed": true }, "track_choice": "optimizer intervention structurally matches the tabular optimizer track", "baseline_grid": [ { "lr": 0.001, "weight_decay": 0.0 }, { "lr": 0.001, "weight_decay": 0.0001 }, { "lr": 0.003, "weight_decay": 0.0 }, { "lr": 0.003, "weight_decay": 0.0001 }, { "lr": 0.006, "weight_decay": 0.0 }, { "lr": 0.006, "weight_decay": 0.0001 } ], "idea_grid": [ { "h": 0.001, "mass": 1.0 }, { "h": 0.003, "mass": 1.0 }, { "h": 0.006, "mass": 1.0 } ] }, "system_verdict": "partial", "practical_verdict": "harms", "mechanism_ok": 1, "system_judged": true }