Directional Hölder Step Controller / report_bench_2026-08-31T163240.md
Beats tuned baseline
Стенд-проверка (stage-2) · промт оператора:
(универсальный)
Ответ агента:
{ "worked": true, "confidence": 8, "verdict": "The Directional Hölder controller was implemented as a custom optimizer loop on the registered tabular/Friedman regression track with the shared mlp_tiny architecture. It significantly beat tuned Adam on all 8 paired seeds (delta_mean=-7.643633, p_value=0.0081), satisfying the benchmark criterion for worked=true. The trained-model mechanism signature was not confirmed: mean observed-to-predicted step ratio was 5.0215.", "metrics": { "baseline": "Tuned Adam lr=0.01: mean test MSE 16.668858, std 2.727546.", "idea": "Directional controller initial lr=0.001: mean test MSE 9.025225, std 1.738034." }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_run.py", "files": [ "bench_run.py", "bench_report.json" ], "limitations": "Only the small tabular track was tested: 400 training examples, 200 test examples, 8 epochs, and batch size 128. Other tracks, larger datasets, FLOP-normalized or wall-clock speed, alpha below 1, and equal-forward-evaluation accounting were not tested. The controller uses extra forward evaluations, and its mechanism signature failed confirmation.", "bench_report": { "bench_version": 1, "track": "tabular", "model": "mlp_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.01 }, "sweep": [ { "cfg": { "lr": 0.001 }, "mean": 187.7414321899414 }, { "cfg": { "lr": 0.003 }, "mean": 19.22788381576538 }, { "cfg": { "lr": 0.01 }, "mean": 15.669923067092896 } ], "full": { "mean": 16.668858289718628, "std": 2.7275460099983677, "per_seed": [ 15.673293113708496, 11.123649597167969, 17.505971908569336, 18.37677764892578, 14.736111640930176, 21.006744384765625, 17.87649917602539, 17.05181884765625 ], "n": 8 }, "idea_parity_sweep": [ { "cfg": { "lr": 0.001 }, "mean": 8.131636142730713 }, { "cfg": { "lr": 0.003 }, "mean": 11.476103067398071 }, { "cfg": { "lr": 0.01 }, "mean": 9.458438754081726 } ] }, "idea": { "mean": 9.025225281715393, "std": 1.7380340756046946, "per_seed": [ 8.675573348999023, 6.953583717346191, 8.074329376220703, 8.823058128356934, 13.168746948242188, 8.126770973205566, 8.566627502441406, 9.813112258911133 ], "n": 8, "selected_cfg": { "lr": 0.001 } }, "comparison": { "delta_mean": -7.643633008003235, "idea_wins": 8, "n_pairs": 8, "per_seed_diffs": [ -6.997719764709473, -4.170065879821777, -9.431642532348633, -9.553719520568848, -1.5673646926879883, -12.879973411560059, -9.309871673583984, -7.238706588745117 ], "p_value": 0.0081, "mde": 2.941158171817024, "mde_rel_pct": 17.644628808387758, "verdict": "idea better (significant)", "system_worked": true }, "mechanism_signature": { "alpha": 1.0, "rho": 0.9, "prediction": "accepted_eta ~= rho / observed_directional_Lhat", "mean_ratio": 5.0215083919674885, "confirmed": false } }, "system_verdict": "worked", "practical_verdict": "helps", "mechanism_ok": 0, "system_judged": true }