Resonance-Aware Stochastic RNN Control / 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 "weight_decay": 0.0001
11 },
12 "sweep": [
13 {
14 "cfg": {
15 "lr": 0.001,
16 "weight_decay": 0.0
17 },
18 "mean": 0.004298779065720737
19 },
20 {
21 "cfg": {
22 "lr": 0.001,
23 "weight_decay": 0.0001
24 },
25 "mean": 0.0042995543335564435
26 },
27 {
28 "cfg": {
29 "lr": 0.003,
30 "weight_decay": 0.0
31 },
32 "mean": 0.0034615940821822733
33 },
34 {
35 "cfg": {
36 "lr": 0.003,
37 "weight_decay": 0.0001
38 },
39 "mean": 0.003432174737099558
40 },
41 {
42 "cfg": {
43 "lr": 0.006,
44 "weight_decay": 0.0
45 },
46 "mean": 0.0018282315868418664
47 },
48 {
49 "cfg": {
50 "lr": 0.006,
51 "weight_decay": 0.0001
52 },
53 "mean": 0.0017760894843377173
54 }
55 ],
56 "full": {
57 "mean": 0.0020704464986920357,
58 "std": 0.00039353273372166414,
59 "per_seed": [
60 0.0019586661364883184,
61 0.0013749259524047375,
62 0.00156879099085927,
63 0.002201974857598543,
64 0.0023778362665325403,
65 0.002474326640367508,
66 0.0020717033185064793,
67 0.0025353478267788887
68 ],
69 "n": 8
70 }
71 },
72 "idea": {
73 "mean": 0.0014319315523607656,
74 "std": 0.00040801966999132736,
75 "per_seed": [
76 0.00139222526922822,
77 0.0008285212097689509,
78 0.0013016352895647287,
79 0.001789333182387054,
80 0.000968311564065516,
81 0.0018908914644271135,
82 0.0012502360623329878,
83 0.002034298377111554
84 ],
85 "n": 8
86 },
87 "comparison": {
88 "delta_mean": -0.00063851494633127,
89 "idea_wins": 8,
90 "n_pairs": 8,
91 "per_seed_diffs": [
92 -0.0005664408672600985,
93 -0.0005464047426357865,
94 -0.00026715570129454136,
95 -0.0004126416752114892,
96 -0.0014095247024670243,
97 -0.0005834351759403944,
98 -0.0008214672561734915,
99 -0.0005010494496673346
100 ],
101 "p_value": 0.0081,
102 "mde": 0.0002917931104320964,
103 "mde_rel_pct": 14.093245617137706,
104 "verdict": "idea better (significant)",
105 "system_worked": true
106 },
107 "mechanism_signature": {
108 "predicted_vs_observed": {
109 "target_radius": 0.9,
110 "observed_radius_mean": 1.5063634291291237,
111 "fitted_mode_rows": [
112 {
113 "epoch": 0,
114 "fitted_radius": 0.8541139240506328,
115 "fitted_omega": 0.05
116 },
117 {
118 "epoch": 11,
119 "fitted_radius": 0.894367088607595,
120 "fitted_omega": 0.05
121 }
122 ]
123 },
124 "confirmed": false
125 },
126 "idea_trials": [
127 {
128 "cfg": {
129 "lr": 0.006,
130 "weight_decay": 0.0001,
131 "r_max": 0.9,
132 "beta": 0.02
133 },
134 "result": {
135 "mean": 0.0014319315523607656,
136 "std": 0.00040801966999132736,
137 "per_seed": [
138 0.00139222526922822,
139 0.0008285212097689509,
140 0.0013016352895647287,
141 0.001789333182387054,
142 0.000968311564065516,
143 0.0018908914644271135,
144 0.0012502360623329878,
145 0.002034298377111554
146 ],
147 "n": 8
148 }
149 },
150 {
151 "cfg": {
152 "lr": 0.003,
153 "weight_decay": 0.0001,
154 "r_max": 0.9,
155 "beta": 0.02
156 },
157 "result": {
158 "mean": 0.0028593493334483355,
159 "std": 0.001481906654941589,
160 "per_seed": [
161 0.0025175209157168865,
162 0.0032294574193656445,
163 0.0012714689364656806,
164 0.006308244541287422,
165 0.002197133842855692,
166 0.003583323210477829,
167 0.0020109813194721937,
168 0.0017566644819453359
169 ],
170 "n": 8
171 }
172 },
173 {
174 "cfg": {
175 "lr": 0.006,
176 "weight_decay": 0.0001,
177 "r_max": 0.9,
178 "beta": 0.02
179 },
180 "result": {
181 "mean": 0.0014319315523607656,
182 "std": 0.00040801966999132736,
183 "per_seed": [
184 0.00139222526922822,
185 0.0008285212097689509,
186 0.0013016352895647287,
187 0.001789333182387054,
188 0.000968311564065516,
189 0.0018908914644271135,
190 0.0012502360623329878,
191 0.002034298377111554
192 ],
193 "n": 8
194 }
195 }
196 ],
197 "math_sanity": {
198 "true_radius": 0.93,
199 "fitted_radius": 0.9346202531645569,
200 "true_omega": 0.42,
201 "fitted_omega": 0.4275280898876404,
202 "radius_abs_error": 0.004620253164556831,
203 "frequency_abs_error": 0.007528089887640421,
204 "pass": true
205 }
206}