summaryrefslogtreecommitdiff
path: root/results/ep_bias/centered_r4/seed_1991_clean.json
blob: 7dcbd13f270c8779a6be680755fcbc73f3887577 (plain)
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
{
  "schema": "rain_ep_structured_bias_screen_v1",
  "sdil": {
    "revision": "1305db8fecfe04f6ba37f31a7c6a9e2a4b8edcda"
  },
  "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": "centered",
    "beta_seed": 7100,
    "beta_value": 0.25,
    "adapter": "dillavou",
    "mode": "clean",
    "bias_ratio": 1.0,
    "dillavou_drift_ratio": 0.0,
    "dillavou_calibration_steps": 1,
    "dillavou_profile": {
      "normalized_offsets": [
        0.9356214982615908,
        1.6020613079954447,
        -0.10013991355431538,
        0.7402593971899275
      ],
      "normalized_state_variations": [
        0.5259526502913017,
        0.31316961348123956,
        0.3831972460091073,
        -0.04782433762159926
      ],
      "source": "/home/yurenh2/sdil/results/physical_bias/p0_state_dependence.json"
    },
    "predictor_rate": 1.0,
    "neutral_cadence": 10,
    "layer_calibration_steps": 1,
    "layer_bias_normalization": "clean_difference",
    "calibration_batches": 0,
    "calibration_observations": 0,
    "calibration_seconds": 1.9073486328125e-06,
    "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": 1991,
    "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": "4",
    "device_name": "NVIDIA GeForce GTX 1080"
  },
  "metrics": [
    {
      "epoch": 1,
      "train_accuracy": 0.6417333333333334,
      "train_cost": 0.24397507147789002,
      "test_accuracy": 0.8022,
      "test_cost": 0.15076367568969726,
      "finite": true,
      "corrector": {},
      "wall_seconds": 788.8055789470673
    },
    {
      "epoch": 2,
      "train_accuracy": 0.8042,
      "train_cost": 0.14745115655263266,
      "test_accuracy": 0.8202,
      "test_cost": 0.1319915910243988,
      "finite": true,
      "corrector": {},
      "wall_seconds": 1581.060385942459
    },
    {
      "epoch": 3,
      "train_accuracy": 0.81805,
      "train_cost": 0.1342075693130493,
      "test_accuracy": 0.8201,
      "test_cost": 0.12513953797817232,
      "finite": true,
      "corrector": {},
      "wall_seconds": 2373.1336472034454
    },
    {
      "epoch": 4,
      "train_accuracy": 0.8356,
      "train_cost": 0.1212175722916921,
      "test_accuracy": 0.8332,
      "test_cost": 0.12569856029748916,
      "finite": true,
      "corrector": {},
      "wall_seconds": 3165.675495862961
    },
    {
      "epoch": 5,
      "train_accuracy": 0.8387,
      "train_cost": 0.11939558706283569,
      "test_accuracy": 0.8372,
      "test_cost": 0.12055516040325165,
      "finite": true,
      "corrector": {},
      "wall_seconds": 3958.578593492508
    },
    {
      "epoch": 6,
      "train_accuracy": 0.8417833333333333,
      "train_cost": 0.11647964973449706,
      "test_accuracy": 0.8535,
      "test_cost": 0.10791677417755127,
      "finite": true,
      "corrector": {},
      "wall_seconds": 4751.68808889389
    },
    {
      "epoch": 7,
      "train_accuracy": 0.8429333333333333,
      "train_cost": 0.11598127350012462,
      "test_accuracy": 0.8474,
      "test_cost": 0.10812918365001678,
      "finite": true,
      "corrector": {},
      "wall_seconds": 5544.835435628891
    },
    {
      "epoch": 8,
      "train_accuracy": 0.8438833333333333,
      "train_cost": 0.11484526540438335,
      "test_accuracy": 0.8507,
      "test_cost": 0.10655797142982483,
      "finite": true,
      "corrector": {},
      "wall_seconds": 6338.120084524155
    },
    {
      "epoch": 9,
      "train_accuracy": 0.8413666666666667,
      "train_cost": 0.11594181873003642,
      "test_accuracy": 0.8439,
      "test_cost": 0.11000810678005218,
      "finite": true,
      "corrector": {},
      "wall_seconds": 7131.2709312438965
    },
    {
      "epoch": 10,
      "train_accuracy": 0.8423666666666667,
      "train_cost": 0.11567023173967997,
      "test_accuracy": 0.8317,
      "test_cost": 0.12044157196283341,
      "finite": true,
      "corrector": {},
      "wall_seconds": 7924.087611436844
    }
  ],
  "epochs_completed": 10,
  "beta_sign_counts": {
    "positive": 4690,
    "negative": 4690
  },
  "final": {
    "epoch": 10,
    "train_accuracy": 0.8423666666666667,
    "train_cost": 0.11567023173967997,
    "test_accuracy": 0.8317,
    "test_cost": 0.12044157196283341,
    "finite": true,
    "corrector": {},
    "wall_seconds": 7924.087611436844
  }
}