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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 9, "verdict": "Vanishing-Perturbation SAM was implemented as a local two-forward-pass Adam intervention on the registered tabular Friedman#1 track with the shared mlp_tiny architecture. The trained-model displacement bound was confirmed, but the idea had higher test MSE than tuned Adam: 5.9104 versus 5.4024, paired delta +0.5080, permutation p=0.07195. Therefore there is no benchmark win.", "metrics": { "baseline": "Adam mlp_tiny, best lr=0.006; mean test MSE 5.402375519275665 over 8 seeds.", "idea": "Vanishing-Perturbation SAM, lr=0.006, rho=0.05, tau=0.5, alpha=1.0; mean test MSE 5.910402357578278 over 8 seeds.", "comparison": "delta_mean=0.5080268383026123, p_value=0.07195, idea_wins=1/8, verdict=no significant win.", "mechanism_signature": "Predicted maximum displacement/gradient ratio 0.5; observed trained-model mean ratio 0.005617373155015077; confirmed=true." }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_experiment.py", "files": [ "bench_experiment.py", "bench_report.json" ], "limitations": "Only the registered tabular optimizer track was tested. Vision, sequence, dynamics, SGD, separately trained fixed-radius SAM, alpha=0.5, wall-clock speed, and sharpness proxies were not tested.", "bench_report": { "bench_version": 1, "track": "tabular", "model": "mlp_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.006, "rho": 0.03 }, "sweep": [ { "cfg": { "lr": 0.0015, "rho": 0.03 }, "mean": 6.5535507798194885 }, { "cfg": { "lr": 0.0015, "rho": 0.05 }, "mean": 6.5535507798194885 }, { "cfg": { "lr": 0.0015, "rho": 0.1 }, "mean": 6.5535507798194885 }, { "cfg": { "lr": 0.003, "rho": 0.03 }, "mean": 5.860911726951599 }, { "cfg": { "lr": 0.003, "rho": 0.05 }, "mean": 5.860911726951599 }, { "cfg": { "lr": 0.003, "rho": 0.1 }, "mean": 5.860911726951599 }, { "cfg": { "lr": 0.006, "rho": 0.03 }, "mean": 5.402375519275665 }, { "cfg": { "lr": 0.006, "rho": 0.05 }, "mean": 5.402375519275665 }, { "cfg": { "lr": 0.006, "rho": 0.1 }, "mean": 5.402375519275665 } ], "full": { "mean": 5.402375519275665, "std": 0.8052017708266902, "per_seed": [ 4.604844093322754, 6.827869892120361, 5.282246112823486, 6.527124404907227, 4.574301719665527, 4.972996711730957, 4.828298091888428, 5.601323127746582 ], "n": 8 } }, "idea": { "config": { "lr": 0.006, "rho": 0.05, "tau": 0.5, "alpha": 1.0 }, "mean": 5.910402357578278, "std": 0.44137529101966433, "per_seed": [ 5.414669990539551, 5.988001346588135, 6.499883651733398, 6.634954452514648, 5.615177154541016, 5.767797946929932, 5.348310947418213, 6.014423370361328 ], "n": 8 }, "comparison": { "delta_mean": 0.5080268383026123, "idea_wins": 1, "n_pairs": 8, "per_seed_diffs": [ 0.8098258972167969, -0.8398685455322266, 1.217637538909912, 0.10783004760742188, 1.0408754348754883, 0.7948012351989746, 0.5200128555297852, 0.4131002426147461 ], "p_value": 0.07195, "mde": 0.5425279807971749, "mde_rel_pct": 10.042396698664062, "verdict": "no significant win", "system_worked": false }, "idea_sweep": [ { "cfg": { "lr": 0.0015, "rho": 0.05, "tau": 0.5, "alpha": 1.0 }, "mean": 6.811859726905823, "per_seed": [ 6.474095821380615, 6.744325160980225, 7.0889763832092285, 6.700258731842041, 6.814124584197998, 7.001830577850342, 7.051252365112305, 6.620014190673828 ] }, { "cfg": { "lr": 0.003, "rho": 0.05, "tau": 0.5, "alpha": 1.0 }, "mean": 6.51858377456665, "per_seed": [ 6.196905612945557, 6.916993141174316, 7.006606578826904, 6.7351861000061035, 6.064712047576904, 6.301020622253418, 6.62624979019165, 6.30099630355835 ] }, { "cfg": { "lr": 0.006, "rho": 0.05, "tau": 0.5, "alpha": 1.0 }, "mean": 5.910402357578278, "per_seed": [ 5.414669990539551, 5.988001346588135, 6.499883651733398, 6.634954452514648, 5.615177154541016, 5.767797946929932, 5.348310947418213, 6.014423370361328 ] } ], "track_justification": "Optimizer intervention; tabular Friedman#1 is the mandated optimizer track.", "mechanism_signature": { "predicted_max_displacement_over_gradient": 0.5, "observed_mean_displacement_over_gradient": 0.005617373155015077, "relative_error_to_bound": 0.9887652536899698, "observed_fraction_clipped": 0.0, "confirmed": true } }, "system_verdict": "partial", "practical_verdict": "inconclusive", "mechanism_ok": 1, "system_judged": true }