Universal Trust-Region Neural Optimizer / report_bench_2026-08-31T124015.md
Failed on benchmark
Стенд-проверка (stage-2) · промт оператора:
(универсальный)
Ответ агента:
{ "worked": false, "confidence": 10, "verdict": "Implemented the trust-region optimizer and tested it on the matched tabular Friedman#1 track with shared mlp_tiny models. Adam achieved mean test MSE 8.207 versus 15.478 for the idea across 8 paired seeds; the idea was significantly worse (delta_mean +7.271, permutation p=0.0081).", "metrics": { "baseline": "Adam, lr=0.01, weight_decay=0.0001, MSE=8.206986", "idea": "Trust region, delta0=0.8, damping=0.01, MSE=15.478004", "comparison": "delta_mean=7.271018, wins=0/8, p=0.0081, idea worse significant", "mechanism_signature": "predicted decrease=22.893466, observed decrease=-36.196201, median rho=0.370373, confirmed=false" }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_experiment.py", "files": [ "bench_experiment.py", "bench_report.json" ], "limitations": "Only tabular was tested; curvature was diagonal squared-gradient rather than exact HVP/Gauss-Newton, and wall-clock/FLOP matching was not measured.", "bench_report": { "bench_version": 1, "track": "tabular", "model": "mlp_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.01, "weight_decay": 0.0001 }, "mean": 8.206986 }, "idea": { "best_cfg": { "lr": 0.01, "weight_decay": 0.0001, "delta0": 0.8, "damping": 0.01 }, "mean": 15.478004 }, "comparison": { "delta_mean": 7.271018, "idea_wins": 0, "n_pairs": 8, "p_value": 0.0081, "verdict": "idea worse (significant)" }, "mechanism_signature": { "predicted_decrease_mean": 22.893466, "observed_decrease_mean": -36.196201, "rho_median": 0.370373, "confirmed": false } }, "system_verdict": "failed", "practical_verdict": "harms", "mechanism_ok": 0, "system_judged": true }