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
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
|
{
"schema": "rain_ep_structured_bias_screen_v1",
"sdil": {
"revision": "65f617eaf07a87c84475ad0010dea844422163e1"
},
"author": {
"repository": "https://github.com/rain-neuromorphics/energy-based-learning",
"revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
},
"protocol": {
"dataset": "FashionMNIST",
"network": "author comparative-study ConvHopfieldEnergy32",
"network_protocol": "comparative32",
"algorithm": "equilibrium propagation",
"beta_policy": "fixed_positive",
"beta_seed": 7100,
"beta_value": 0.25,
"adapter": "dillavou",
"mode": "clean",
"bias_ratio": 1.0,
"dillavou_drift_ratio": 0.0,
"dillavou_calibration_steps": 1,
"predictor_rate": 1.0,
"neutral_cadence": 0,
"layer_calibration_steps": 1,
"layer_bias_normalization": "clean_difference",
"calibration_batches": 0,
"calibration_observations": 0,
"calibration_seconds": 4.76837158203125e-07,
"extra_equilibrium_phases_for_predictor": 0,
"predictor_neutral_source": "instruction_off_local_update_probe",
"bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
"bias_ratio_normalization_visible_to_predictor": false,
"epochs": 10,
"train_limit": 60000,
"test_limit": 10000,
"evaluation_split": "test",
"data_seed": 6200,
"batch_size": 128,
"training_iterations": 15,
"inference_iterations": 60,
"schedule_epochs": 100,
"seed": 1988,
"device": "cuda",
"determinism": "best_effort_warn_only",
"autodiff_used_for_learning": false
},
"hardware": {
"torch_version": "2.3.1+cu118",
"torch_cuda_version": "11.8",
"cuda_visible_devices": "0",
"device_name": "NVIDIA GeForce GTX 1080"
},
"metrics": [
{
"epoch": 1,
"train_accuracy": 0.6331833333333333,
"train_cost": 0.26114970343907673,
"test_accuracy": 0.7315,
"test_cost": 0.20986583371162415,
"finite": true,
"corrector": {},
"wall_seconds": 772.7187147140503
},
{
"epoch": 2,
"train_accuracy": 0.6627,
"train_cost": 0.2617804507891337,
"test_accuracy": 0.5922,
"test_cost": 0.4188939518928528,
"finite": true,
"corrector": {},
"wall_seconds": 1544.577304840088
},
{
"epoch": 3,
"train_accuracy": 0.6126666666666667,
"train_cost": 0.29678506310780844,
"test_accuracy": 0.5733,
"test_cost": 0.2982772967338562,
"finite": true,
"corrector": {},
"wall_seconds": 2314.08575963974
},
{
"epoch": 4,
"train_accuracy": 0.43415,
"train_cost": 0.3849130135854085,
"test_accuracy": 0.4685,
"test_cost": 0.34045493516922,
"finite": true,
"corrector": {},
"wall_seconds": 3082.613589525223
},
{
"epoch": 5,
"train_accuracy": 0.44206666666666666,
"train_cost": 0.3828686854044596,
"test_accuracy": 0.338,
"test_cost": 0.42704891023635866,
"finite": true,
"corrector": {},
"wall_seconds": 3851.0639486312866
},
{
"epoch": 6,
"train_accuracy": 0.33975,
"train_cost": 0.4333668016433716,
"test_accuracy": 0.2028,
"test_cost": 0.44713303966522217,
"finite": true,
"corrector": {},
"wall_seconds": 4618.865006446838
},
{
"epoch": 7,
"train_accuracy": 0.10198333333333333,
"train_cost": 0.4533044646581014,
"test_accuracy": 0.1,
"test_cost": 0.451286998796463,
"finite": true,
"corrector": {},
"wall_seconds": 5386.315636873245
},
{
"epoch": 8,
"train_accuracy": 0.09966666666666667,
"train_cost": 0.4508303793589274,
"test_accuracy": 0.1,
"test_cost": 0.45172959218025205,
"finite": true,
"corrector": {},
"wall_seconds": 6153.813899278641
},
{
"epoch": 9,
"train_accuracy": 0.09798333333333334,
"train_cost": 0.4509103933334351,
"test_accuracy": 0.1,
"test_cost": 0.45050861291885375,
"finite": true,
"corrector": {},
"wall_seconds": 6921.272820234299
},
{
"epoch": 10,
"train_accuracy": 0.09518333333333333,
"train_cost": 0.45089836565653485,
"test_accuracy": 0.1,
"test_cost": 0.45086712436676024,
"finite": true,
"corrector": {},
"wall_seconds": 7688.960968732834
}
],
"epochs_completed": 10,
"beta_sign_counts": {
"positive": 4690,
"negative": 0
},
"final": {
"epoch": 10,
"train_accuracy": 0.09518333333333333,
"train_cost": 0.45089836565653485,
"test_accuracy": 0.1,
"test_cost": 0.45086712436676024,
"finite": true,
"corrector": {},
"wall_seconds": 7688.960968732834
}
}
|