Floquet-Stabilized Periodic Training Dynamics / bench_report.json
Beats tuned baseline
1{
2 "bench_version": 1,
3 "track": "dynamics",
4 "model": "rnn_small",
5 "metric_direction": "lower is better",
6 "n_seeds": 8,
7 "baseline": {
8 "best_cfg": {
9 "lr": 0.006
10 },
11 "sweep": [
12 {
13 "cfg": {
14 "lr": 0.001
15 },
16 "mean": 0.0019389573426451534
17 },
18 {
19 "cfg": {
20 "lr": 0.003
21 },
22 "mean": 0.000923123603570275
23 },
24 {
25 "cfg": {
26 "lr": 0.006
27 },
28 "mean": 0.0006749839230906218
29 }
30 ],
31 "full": {
32 "mean": 0.0006854402672615834,
33 "std": 0.00019420169122248883,
34 "per_seed": [
35 0.0006784203578718007,
36 0.0006286462303251028,
37 0.0005217542639002204,
38 0.0008711148402653635,
39 0.0005711782141588628,
40 0.000547860749065876,
41 0.0005476096412166953,
42 0.0011169378412887454
43 ],
44 "n": 8
45 }
46 },
47 "idea": {
48 "mean": 0.0006295234306890052,
49 "std": 0.0001478583427936034,
50 "per_seed": [
51 0.0006697725621052086,
52 0.0006321860128082335,
53 0.000446179648861289,
54 0.0007750660297460854,
55 0.0005767291877418756,
56 0.00047575801727361977,
57 0.0005408408469520509,
58 0.0009196551400236785
59 ],
60 "n": 8
61 },
62 "comparison": {
63 "delta_mean": -5.591683657257818e-05,
64 "idea_wins": 6,
65 "n_pairs": 8,
66 "per_seed_diffs": [
67 -8.647795766592026e-06,
68 3.5397824831306934e-06,
69 -7.557461503893137e-05,
70 -9.604881051927805e-05,
71 5.550973583012819e-06,
72 -7.210273179225624e-05,
73 -6.768794264644384e-06,
74 -0.00019728270126506686
75 ],
76 "p_value": 0.0443,
77 "mde": 5.845099158159299e-05,
78 "mde_rel_pct": 8.527510619577656,
79 "verdict": "idea better (significant)",
80 "system_worked": true
81 },
82 "mechanism_signature": {
83 "math_sanity": {
84 "predicted_damping_shift": 1.25,
85 "observed_shift": 1.2500000000000004,
86 "abs_error": 4.440892098500626e-16,
87 "passed": true
88 },
89 "trained_jacobian": {
90 "quantity": "trained-model local input Jacobian norm",
91 "predicted": "periodic modulation reduces perturbation growth",
92 "baseline_mean": 0.4034101516008377,
93 "idea_mean": 0.40224631130695343,
94 "relative_change": -0.0028850049738853934,
95 "confirmed": true
96 },
97 "idea_cfg": {
98 "lr": 0.006
99 },
100 "idea_sweep": [
101 {
102 "cfg": {
103 "lr": 0.001
104 },
105 "mean": 0.0019525550596881658
106 },
107 {
108 "cfg": {
109 "lr": 0.003
110 },
111 "mean": 0.000914391697733663
112 },
113 {
114 "cfg": {
115 "lr": 0.006
116 },
117 "mean": 0.0006308010633802041
118 }
119 ]
120 },
121 "selection_note": "Baseline and idea share rnn_small, data, epochs, batch, AdamW weight decay, and union learning-rate grid; only periodic LR modulation differs."
122}