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
|
{
"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": "clean",
"bias_ratio": 0.01,
"predictor_rate": 0.2,
"neutral_cadence": 1,
"layer_calibration_steps": 1,
"calibration_batches": 0,
"calibration_observations": 0,
"calibration_seconds": 7.152557373046875e-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": 1993,
"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": 0.5533,
"train_cost": 0.3285980202674866,
"test_accuracy": 0.708,
"test_cost": 0.23227323246002196,
"finite": true,
"corrector": {},
"wall_seconds": 11.357156038284302
},
{
"epoch": 2,
"train_accuracy": 0.7522,
"train_cost": 0.20173615772724152,
"test_accuracy": 0.768,
"test_cost": 0.1902358865737915,
"finite": true,
"corrector": {},
"wall_seconds": 22.099834203720093
},
{
"epoch": 3,
"train_accuracy": 0.7887,
"train_cost": 0.17437110681533813,
"test_accuracy": 0.778,
"test_cost": 0.18138674449920655,
"finite": true,
"corrector": {},
"wall_seconds": 32.82407355308533
}
],
"epochs_completed": 3,
"final": {
"epoch": 3,
"train_accuracy": 0.7887,
"train_cost": 0.17437110681533813,
"test_accuracy": 0.778,
"test_cost": 0.18138674449920655,
"finite": true,
"corrector": {},
"wall_seconds": 32.82407355308533
}
}
|
