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
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
|
{
"schema": "rain_ep_structured_bias_screen_v1",
"sdil": {
"revision": "a10a84066a6f7aa38d86b1a71ed371c9c6f22815"
},
"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": "same_rms_noise",
"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,
"extra_equilibrium_phases_for_predictor": 0,
"predictor_neutral_source": "existing_first_EP_phase",
"bias_ratio_normalization": "experimenter_initial_clean_layer_state_difference_rms",
"bias_ratio_normalization_visible_to_predictor": false,
"epochs": 3,
"train_limit": 10000,
"test_limit": 2000,
"evaluation_split": "train_holdout",
"data_seed": 6100,
"batch_size": 128,
"training_iterations": 12,
"inference_iterations": 30,
"seed": 1991,
"device": "cuda",
"determinism": "author_default",
"autodiff_used_for_learning": false
},
"hardware": {
"torch_version": "2.3.1+cu118",
"torch_cuda_version": "11.8",
"cuda_visible_devices": "5",
"device_name": "NVIDIA GeForce GTX 1080"
},
"metrics": [
{
"epoch": 1,
"train_accuracy": 0.6276,
"train_cost": 0.28668752970695494,
"test_accuracy": 0.7605,
"test_cost": 0.20921922206878663,
"finite": true,
"corrector": {
"step": 78,
"clean_state_difference_rms": 0.0026107519268949316,
"bias_state_difference_rms": 8.442201549713874e-05,
"residual_state_difference_rms": 9.084367274527985e-05,
"bias_to_clean_state_difference_rms": 0.0323362838986947,
"residual_to_clean_state_difference_rms": 0.034795980349356194,
"neutral_observations": 0
},
"wall_seconds": 11.248369932174683
},
{
"epoch": 2,
"train_accuracy": 0.7972,
"train_cost": 0.18200266993045808,
"test_accuracy": 0.8035,
"test_cost": 0.19378243160247802,
"finite": true,
"corrector": {
"step": 157,
"clean_state_difference_rms": 0.005210345839079046,
"bias_state_difference_rms": 8.655030952208532e-05,
"residual_state_difference_rms": 8.563805599765018e-05,
"bias_to_clean_state_difference_rms": 0.016611240826459903,
"residual_to_clean_state_difference_rms": 0.016436155802814642,
"neutral_observations": 0
},
"wall_seconds": 21.980408668518066
},
{
"epoch": 3,
"train_accuracy": 0.7967,
"train_cost": 0.18370458579063415,
"test_accuracy": 0.6675,
"test_cost": 0.32882429313659667,
"finite": true,
"corrector": {
"step": 236,
"clean_state_difference_rms": 0.00915079697255937,
"bias_state_difference_rms": 7.815418078007217e-05,
"residual_state_difference_rms": 8.078700293735538e-05,
"bias_to_clean_state_difference_rms": 0.00854069662068061,
"residual_to_clean_state_difference_rms": 0.008828411686939678,
"neutral_observations": 0
},
"wall_seconds": 32.66379976272583
}
],
"epochs_completed": 3,
"final": {
"epoch": 3,
"train_accuracy": 0.7967,
"train_cost": 0.18370458579063415,
"test_accuracy": 0.6675,
"test_cost": 0.32882429313659667,
"finite": true,
"corrector": {
"step": 236,
"clean_state_difference_rms": 0.00915079697255937,
"bias_state_difference_rms": 7.815418078007217e-05,
"residual_state_difference_rms": 8.078700293735538e-05,
"bias_to_clean_state_difference_rms": 0.00854069662068061,
"residual_to_clean_state_difference_rms": 0.008828411686939678,
"neutral_observations": 0
},
"wall_seconds": 32.66379976272583
}
}
|
