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
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
|
{
"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": "innovation",
"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": "3",
"device_name": "NVIDIA GeForce GTX 1080"
},
"metrics": [
{
"epoch": 1,
"train_accuracy": 0.6240333333333333,
"train_cost": 0.26950117823282876,
"test_accuracy": 0.7252,
"test_cost": 0.21449419848918916,
"finite": true,
"corrector": {
"step": 468,
"bias_model": "dillavou_constant_update",
"clean_update_rms": 0.0013031720422620305,
"bias_update_rms": 0.00015287711537102346,
"residual_update_rms": 8.505476264979924e-12,
"bias_to_clean_update_rms": 0.11731153709042222,
"residual_to_clean_update_rms": 6.526748571290878e-09,
"neutral_observations": 1
},
"wall_seconds": 830.515468120575
},
{
"epoch": 2,
"train_accuracy": 0.7224833333333334,
"train_cost": 0.21523845361073812,
"test_accuracy": 0.734,
"test_cost": 0.20494100348949432,
"finite": true,
"corrector": {
"step": 937,
"bias_model": "dillavou_constant_update",
"clean_update_rms": 0.0011456798542969432,
"bias_update_rms": 0.00015287711537102346,
"residual_update_rms": 5.783565269794748e-12,
"bias_to_clean_update_rms": 0.1334379013453439,
"residual_to_clean_update_rms": 5.048151320897481e-09,
"neutral_observations": 1
},
"wall_seconds": 1662.8209059238434
},
{
"epoch": 3,
"train_accuracy": 0.7034833333333333,
"train_cost": 0.2262856188774109,
"test_accuracy": 0.726,
"test_cost": 0.21046952879428862,
"finite": true,
"corrector": {
"step": 1406,
"bias_model": "dillavou_constant_update",
"clean_update_rms": 0.0007255708516996841,
"bias_update_rms": 0.00015287711537102346,
"residual_update_rms": 5.307226022279889e-12,
"bias_to_clean_update_rms": 0.21069908612356955,
"residual_to_clean_update_rms": 7.314552410488184e-09,
"neutral_observations": 1
},
"wall_seconds": 2494.675737142563
},
{
"epoch": 4,
"train_accuracy": 0.6376166666666667,
"train_cost": 0.2644129397074382,
"test_accuracy": 0.5606,
"test_cost": 0.3176894040584564,
"finite": true,
"corrector": {
"step": 1875,
"bias_model": "dillavou_constant_update",
"clean_update_rms": 0.0015035734195279979,
"bias_update_rms": 0.00015287711537102346,
"residual_update_rms": 4.902649731971089e-12,
"bias_to_clean_update_rms": 0.10167585658638119,
"residual_to_clean_update_rms": 3.260665337852361e-09,
"neutral_observations": 1
},
"wall_seconds": 3326.451648235321
},
{
"epoch": 5,
"train_accuracy": 0.3769,
"train_cost": 0.3791497839609782,
"test_accuracy": 0.1949,
"test_cost": 0.4102668016910553,
"finite": true,
"corrector": {
"step": 2344,
"bias_model": "dillavou_constant_update",
"clean_update_rms": 0.001314406637263836,
"bias_update_rms": 0.00015287711537102346,
"residual_update_rms": 4.888212328688676e-12,
"bias_to_clean_update_rms": 0.11630884312123037,
"residual_to_clean_update_rms": 3.718949821239744e-09,
"neutral_observations": 1
},
"wall_seconds": 4158.306345939636
},
{
"epoch": 6,
"train_accuracy": 0.11983333333333333,
"train_cost": 0.44674621194203695,
"test_accuracy": 0.1,
"test_cost": 0.46038982095718384,
"finite": true,
"corrector": {
"step": 2813,
"bias_model": "dillavou_constant_update",
"clean_update_rms": 0.0003853588444705456,
"bias_update_rms": 0.00015287711537102346,
"residual_update_rms": 4.241559819955997e-12,
"bias_to_clean_update_rms": 0.39671365420732785,
"residual_to_clean_update_rms": 1.1006779475331841e-08,
"neutral_observations": 1
},
"wall_seconds": 4989.840263605118
},
{
"epoch": 7,
"train_accuracy": 0.10178333333333334,
"train_cost": 0.45519645392100017,
"test_accuracy": 0.1,
"test_cost": 0.45710823802948,
"finite": true,
"corrector": {
"step": 3282,
"bias_model": "dillavou_constant_update",
"clean_update_rms": 0.000238805277082506,
"bias_update_rms": 0.00015287711537102346,
"residual_update_rms": 1.1631105114721004e-12,
"bias_to_clean_update_rms": 0.6401747785422899,
"residual_to_clean_update_rms": 4.8705394021517026e-09,
"neutral_observations": 1
},
"wall_seconds": 5820.923452377319
},
{
"epoch": 8,
"train_accuracy": 0.09983333333333333,
"train_cost": 0.4550814468383789,
"test_accuracy": 0.1,
"test_cost": 0.45869329319000246,
"finite": true,
"corrector": {
"step": 3751,
"bias_model": "dillavou_constant_update",
"clean_update_rms": 0.0003874432503687363,
"bias_update_rms": 0.00015287711537102346,
"residual_update_rms": 1.0505062911282254e-13,
"bias_to_clean_update_rms": 0.39457937446458996,
"residual_to_clean_update_rms": 2.711381060654537e-10,
"neutral_observations": 1
},
"wall_seconds": 6652.601692676544
},
{
"epoch": 9,
"train_accuracy": 0.09838333333333334,
"train_cost": 0.4546400879542033,
"test_accuracy": 0.1,
"test_cost": 0.4577524483680725,
"finite": true,
"corrector": {
"step": 4220,
"bias_model": "dillavou_constant_update",
"clean_update_rms": 0.00029708848957804774,
"bias_update_rms": 0.00015287711537102346,
"residual_update_rms": 4.140955151143751e-12,
"bias_to_clean_update_rms": 0.5145844444803417,
"residual_to_clean_update_rms": 1.3938457047006819e-08,
"neutral_observations": 1
},
"wall_seconds": 7484.504533529282
},
{
"epoch": 10,
"train_accuracy": 0.10006666666666666,
"train_cost": 0.45555214653015136,
"test_accuracy": 0.1,
"test_cost": 0.4571452916145325,
"finite": true,
"corrector": {
"step": 4689,
"bias_model": "dillavou_constant_update",
"clean_update_rms": 0.00023774306744370527,
"bias_update_rms": 0.00015287711537102346,
"residual_update_rms": 3.794692534694495e-12,
"bias_to_clean_update_rms": 0.6430350084013404,
"residual_to_clean_update_rms": 1.596131729726686e-08,
"neutral_observations": 1
},
"wall_seconds": 8315.11565542221
}
],
"epochs_completed": 10,
"beta_sign_counts": {
"positive": 4690,
"negative": 0
},
"final": {
"epoch": 10,
"train_accuracy": 0.10006666666666666,
"train_cost": 0.45555214653015136,
"test_accuracy": 0.1,
"test_cost": 0.4571452916145325,
"finite": true,
"corrector": {
"step": 4689,
"bias_model": "dillavou_constant_update",
"clean_update_rms": 0.00023774306744370527,
"bias_update_rms": 0.00015287711537102346,
"residual_update_rms": 3.794692534694495e-12,
"bias_to_clean_update_rms": 0.6430350084013404,
"residual_to_clean_update_rms": 1.596131729726686e-08,
"neutral_observations": 1
},
"wall_seconds": 8315.11565542221
}
}
|
