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

(универсальный)

Ответ агента:

{ "worked": false, "confidence": 10, "verdict": "On the registered sequence track, the matched transformer_tiny baseline achieved lower test MSE than the transformer with rank-one delta memory. The mechanism was active in trained models, with finite state norms and nonzero update/read activity, but this did not translate into a task-metric win; therefore worked=false.", "metrics": { "baseline": "Tuned transformer_tiny, lr=0.0015: mean test MSE 1.0789237320 across 8 seeds.", "idea": "Best tested delta-memory transformer configuration: lr=0.0015, beta=0.5: mean test MSE 1.1184165999 across 8 seeds.", "delta": "Idea minus baseline = +0.0394928679 MSE; positive means worse because lower is better.", "p_value": "See bench_report.comparison.p_value in the saved official make_report JSON." }, "bench_report": { "bench_version": 1, "track": "sequence", "model": "transformer_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.0015 }, "sweep": [ { "cfg": { "lr": 0.0015 }, "mean": 0.987314760684967 }, { "cfg": { "lr": 0.003 }, "mean": 1.5178270637989044 }, { "cfg": { "lr": 0.006 }, "mean": 2.574708193540573 } ], "full": { "mean": 1.0789237320423126, "std": 0.1999035176851697, "per_seed": [ 0.6216103434562683, 1.084313154220581, 0.9683473706245422, 1.2749881744384766, 1.0933938026428223, 1.1413570642471313, 1.1405138969421387, 1.3068660497665405 ], "n": 8 } }, "idea": { "mean": 1.1184165999293327, "std": 0.17711685, "per_seed": [ 0.8062031865119934, 1.131962537765503, 1.055254340171814, 1.2522374391555786, 1.2029743194580078, 1.1288959980010986, 1.0903708934783936, 1.2774320840835571 ], "n": 8, "cfg": { "lr": 0.0015, "beta": 0.5 } }, "comparison": { "delta_mean": 0.03949286788702011, "idea_wins": 2, "n_pairs": 8, "per_seed_diffs": [ 0.1845928430557251, 0.047649383544921875, 0.08690696954727173, -0.02275073528289795, 0.10958051681518555, -0.012461066246032715, -0.05014300346374512, -0.0294339656829834 ], "p_value": 0.31255, "verdict": "no significant win", "system_worked": false }, "mechanism_signature": { "prediction": "rank-one per-sample state has finite norm and nonzero update/read activity", "observed_mean_state_norm": 0.111071455, "observed_mean_update_norm": 0.631223, "observed_mean_read_norm": 0.538214, "confirmed": true }, "custom_track": null }, "how_to_run": "/home/maxwelhelp/main/bin/python3 bench_delta_memory.py", "files": [ "bench_delta_memory.py", "bench_report.json" ], "limitations": "The official run used a reduced but valid equal-budget configuration of 400 training samples, 150 test samples, and 3 epochs to fit the 40-minute limit. The idea sweep used beta=0.5 and the shared learning-rate union [0.0015, 0.003, 0.006], while the baseline was tuned with sweep_baseline on seeds 0-3 and fully evaluated on seeds 0-7. Throughput, peak activation memory, and long-stream persistence were not measured.", "system_verdict": "partial", "practical_verdict": "inconclusive", "mechanism_ok": 1, "system_judged": true }