1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
|
{
"schema": "rain_ep_structured_bias_screen_v1",
"author": {
"repository": "https://github.com/rain-neuromorphics/energy-based-learning",
"revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
},
"protocol": {
"dataset": "FashionMNIST",
"network": "author ConvHopfieldEnergy28 32-64-10",
"algorithm": "positive equilibrium propagation",
"adapter": "layer",
"mode": "innovation",
"bias_ratio": 0.01,
"predictor_rate": 0.2,
"neutral_cadence": 1,
"layer_calibration_steps": 1,
"calibration_batches": 0,
"calibration_observations": 0,
"calibration_seconds": 4.76837158203125e-07,
"epochs": 3,
"train_limit": 10000,
"test_limit": 2000,
"batch_size": 128,
"training_iterations": 12,
"inference_iterations": 30,
"seed": 1988,
"device": "cuda",
"determinism": "author_default",
"autodiff_used_for_learning": false
},
"metrics": [
{
"epoch": 1,
"train_accuracy": 0.5515,
"train_cost": 0.33758451879024504,
"test_accuracy": 0.704,
"test_cost": 0.2543400869369507,
"finite": true,
"corrector": {
"step": 78,
"clean_state_difference_rms": 0.002253664403472046,
"bias_state_difference_rms": 7.671039553526337e-05,
"residual_state_difference_rms": 3.3360335305939616e-05,
"bias_to_clean_state_difference_rms": 0.03403807391068591,
"residual_to_clean_state_difference_rms": 0.014802707650058249,
"neutral_observations": 128
},
"wall_seconds": 10.874735593795776
},
{
"epoch": 2,
"train_accuracy": 0.7401,
"train_cost": 0.22319662566184997,
"test_accuracy": 0.742,
"test_cost": 0.22525169372558593,
"finite": true,
"corrector": {
"step": 157,
"clean_state_difference_rms": 0.0027403383876202624,
"bias_state_difference_rms": 8.059984748706333e-05,
"residual_state_difference_rms": 3.9134135693138524e-05,
"bias_to_clean_state_difference_rms": 0.029412370330314228,
"residual_to_clean_state_difference_rms": 0.014280767612471029,
"neutral_observations": 128
},
"wall_seconds": 21.705955266952515
},
{
"epoch": 3,
"train_accuracy": 0.7681,
"train_cost": 0.20243184833526612,
"test_accuracy": 0.771,
"test_cost": 0.2131208267211914,
"finite": true,
"corrector": {
"step": 236,
"clean_state_difference_rms": 0.002674682890509977,
"bias_state_difference_rms": 7.2471939856954e-05,
"residual_state_difference_rms": 3.644143814163778e-05,
"bias_to_clean_state_difference_rms": 0.027095526020707417,
"residual_to_clean_state_difference_rms": 0.013624582663961916,
"neutral_observations": 128
},
"wall_seconds": 32.43295383453369
}
],
"epochs_completed": 3,
"final": {
"epoch": 3,
"train_accuracy": 0.7681,
"train_cost": 0.20243184833526612,
"test_accuracy": 0.771,
"test_cost": 0.2131208267211914,
"finite": true,
"corrector": {
"step": 236,
"clean_state_difference_rms": 0.002674682890509977,
"bias_state_difference_rms": 7.2471939856954e-05,
"residual_state_difference_rms": 3.644143814163778e-05,
"bias_to_clean_state_difference_rms": 0.027095526020707417,
"residual_to_clean_state_difference_rms": 0.013624582663961916,
"neutral_observations": 128
},
"wall_seconds": 32.43295383453369
}
}
|