Bounded predictive-gain optimizer / results.json
Failed on benchmark
1{
2 "seed": 2037,
3 "checks": [
4 {
5 "name": "sign and magnitude of consecutive-direction product",
6 "prediction": {
7 "delta_a": "eta*r*g^2/(1+rho)",
8 "slope": 0.08450000000000002
9 },
10 "observed": {
11 "r": [
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13 -0.5,
14 0.0,
15 0.5,
16 1.0
17 ],
18 "delta_a": [
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20 -0.0422499999999999,
21 1.1102230246251565e-16,
22 0.04225000000000012,
23 0.08450000000000013
24 ],
25 "slope": 0.08450000000000005,
26 "max_abs_error": 1.1102230246251565e-16
27 },
28 "pass": true
29 },
30 {
31 "name": "Bregman persistence contraction when predictive product is zero",
32 "prediction": {
33 "error_ratio": 0.6666666666666666
34 },
35 "observed": {
36 "errors": [
37 1.3,
38 0.8666666666666667,
39 0.5777777777777777,
40 0.3851851851851853,
41 0.2567901234567901,
42 0.17119341563786006
43 ],
44 "ratios": [
45 0.6666666666666666,
46 0.6666666666666666,
47 0.666666666666667,
48 0.6666666666666664,
49 0.6666666666666666
50 ],
51 "max_abs_ratio_error": 3.3306690738754696e-16
52 },
53 "pass": true
54 },
55 {
56 "name": "quadratic first sign reversal and stability boundary",
57 "prediction": {
58 "first_reversal_threshold": 1.0,
59 "stability_interval": [
60 0.0,
61 2.0
62 ]
63 },
64 "observed": {
65 "first_grid_reversal": 1.2,
66 "first_grid_point_above_threshold": 1.2,
67 "stable_boundary_test_mismatches": 0,
68 "grid": [
69 0.2,
70 0.4,
71 0.6,
72 0.8,
73 1.0,
74 1.2,
75 1.4,
76 1.5999999999999999,
77 1.7999999999999998,
78 1.9999999999999998,
79 2.1999999999999997,
80 2.4
81 ],
82 "reversal": [
83 false,
84 false,
85 false,
86 false,
87 false,
88 true,
89 true,
90 true,
91 true,
92 true,
93 true,
94 true
95 ]
96 },
97 "pass": true
98 }
99 ],
100 "mini_experiment": {
101 "baseline": {
102 "final_loss": 0.13887640326417106,
103 "best_loss": 0.05718613847298501,
104 "final_accuracy": 0.93375,
105 "loss_at_40": 0.16235985468717123,
106 "gain_trajectories": [
107 0.8,
108 0.8
109 ],
110 "clip_events": 0,
111 "reversal_events": 0
112 },
113 "bounded_predictive_gain": {
114 "final_loss": 0.1388562616475848,
115 "best_loss": 0.05718930868369484,
116 "final_accuracy": 0.93375,
117 "loss_at_40": 0.1624317609217938,
118 "gain_trajectories": [
119 0.799784109800687,
120 0.7996852175830025
121 ],
122 "clip_events": 0,
123 "reversal_events": 185
124 }
125 }
126}