Defect-and-Jacobian Residual 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": 0.01,
10 "gate_mid": 0.08,
11 "gate_slope": 3.0
12 },
13 "sweep": [
14 {
15 "cfg": {
16 "lr": 0.001,
17 "gate_mid": 0.08,
18 "gate_slope": 3.0
19 },
20 "mean": 0.001094405582989566
21 },
22 {
23 "cfg": {
24 "lr": 0.003,
25 "gate_mid": 0.08,
26 "gate_slope": 3.0
27 },
28 "mean": 0.0005730643169954419
29 },
30 {
31 "cfg": {
32 "lr": 0.01,
33 "gate_mid": 0.08,
34 "gate_slope": 3.0
35 },
36 "mean": 0.0001522819948149845
37 }
38 ],
39 "full": {
40 "mean": 0.00012016432719974546,
41 "std": 5.673950443795311e-05,
42 "per_seed": [
43 0.00023659199359826744,
44 0.000133594949147664,
45 7.917142647784203e-05,
46 0.00015976961003616452,
47 6.463151657953858e-05,
48 9.197137842420489e-05,
49 5.368743586586788e-05,
50 0.0001418963074684143
51 ],
52 "n": 8
53 }
54 },
55 "idea": {
56 "mean": 4.0656192368260236e-06,
57 "std": 1.5779659647239028e-07,
58 "per_seed": [
59 4.112095211894484e-06,
60 3.850047960440861e-06,
61 3.88751095670159e-06,
62 4.318793344282312e-06,
63 3.984665454481728e-06,
64 3.9648107303946745e-06,
65 4.202797754260246e-06,
66 4.2042324821522925e-06
67 ],
68 "n": 8
69 },
70 "comparison": {
71 "delta_mean": -0.00011609870796291943,
72 "idea_wins": 8,
73 "n_pairs": 8,
74 "per_seed_diffs": [
75 -0.00023247989838637295,
76 -0.00012974490118722315,
77 -7.528391552114044e-05,
78 -0.0001554508166918822,
79 -6.0646851125056855e-05,
80 -8.800656769381021e-05,
81 -4.948463811160764e-05,
82 -0.00013769207498626201
83 ],
84 "p_value": 0.0081,
85 "mde": 5.06773245421868e-05,
86 "mde_rel_pct": 42.17335187833861,
87 "verdict": "idea better (significant)",
88 "system_worked": true
89 },
90 "mechanism_signature": {
91 "trained_model": true,
92 "defect_low_closure": 0.0020928073208779097,
93 "defect_high_closure": 0.01778038963675499,
94 "defect_closure_corr": 0.9902236612013674,
95 "background_rmse": 0.008130352012813091,
96 "prediction": "closure should rise with defect and fall as background becomes accurate",
97 "confirmed": true
98 },
99 "idea_sweep": [
100 {
101 "cfg": {
102 "lr": 0.001,
103 "gate_mid": 0.08,
104 "gate_slope": 3.0
105 },
106 "result": {
107 "mean": 4.137774908485881e-06,
108 "std": 1.5718023689435836e-07,
109 "per_seed": [
110 4.205145160085522e-06,
111 3.896001544489991e-06,
112 4.057551450387109e-06,
113 4.373848241812084e-06,
114 4.077617177244974e-06,
115 3.985380772064673e-06,
116 4.350635663286084e-06,
117 4.156019258516608e-06
118 ],
119 "n": 8
120 }
121 },
122 {
123 "cfg": {
124 "lr": 0.003,
125 "gate_mid": 0.08,
126 "gate_slope": 3.0
127 },
128 "result": {
129 "mean": 4.0656192368260236e-06,
130 "std": 1.5779659647239028e-07,
131 "per_seed": [
132 4.112095211894484e-06,
133 3.850047960440861e-06,
134 3.88751095670159e-06,
135 4.318793344282312e-06,
136 3.984665454481728e-06,
137 3.9648107303946745e-06,
138 4.202797754260246e-06,
139 4.2042324821522925e-06
140 ],
141 "n": 8
142 }
143 },
144 {
145 "cfg": {
146 "lr": 0.01,
147 "gate_mid": 0.08,
148 "gate_slope": 3.0
149 },
150 "result": {
151 "mean": 4.102830018837267e-06,
152 "std": 1.5946786154305604e-07,
153 "per_seed": [
154 4.118781362194568e-06,
155 3.881638804159593e-06,
156 3.890218522428768e-06,
157 4.2627821130736265e-06,
158 4.292129688110435e-06,
159 3.9507722249254584e-06,
160 4.203915068501374e-06,
161 4.222402367304312e-06
162 ],
163 "n": 8
164 }
165 }
166 ],
167 "protocol": {
168 "paired_seeds": [
169 0,
170 1,
171 2,
172 3,
173 4,
174 5,
175 6,
176 7
177 ],
178 "sweep_seeds": [
179 0,
180 1,
181 2,
182 3
183 ],
184 "epochs": 15,
185 "n_train": 1000,
186 "n_test": 400,
187 "same_architecture": true,
188 "baseline_grid": [
189 {
190 "lr": 0.001,
191 "gate_mid": 0.08,
192 "gate_slope": 3.0
193 },
194 {
195 "lr": 0.003,
196 "gate_mid": 0.08,
197 "gate_slope": 3.0
198 },
199 {
200 "lr": 0.01,
201 "gate_mid": 0.08,
202 "gate_slope": 3.0
203 }
204 ],
205 "idea_grid": [
206 {
207 "lr": 0.001,
208 "gate_mid": 0.08,
209 "gate_slope": 3.0
210 },
211 {
212 "lr": 0.003,
213 "gate_mid": 0.08,
214 "gate_slope": 3.0
215 },
216 {
217 "lr": 0.01,
218 "gate_mid": 0.08,
219 "gate_slope": 3.0
220 }
221 ],
222 "intervention": "analytic pendulum background, residual coordinates, defect sigmoid gate"
223 }
224}