log_cogsci2019.txt

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Run the 1-th training of 4 digit add
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Run the 1-th training of 4 digit subtract
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Run the 1-th training of 4 digit divide
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Run the 1-th training of 4 digit multiply
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Run the 1-th training of 4 digit modulo
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Run the 1-th training of 4 digit fixed_random
Run ID: 20190105022024
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022024/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022024/
└ epoch: 4, step: 40, test_loss: 0.32001519203186035, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 2-th training of 4 digit fixed_random
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Run the 1-th training of 4 digit random
Run ID: 20190105022030
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022030/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022030/
└ epoch: 4, step: 40, test_loss: 0.26987186074256897, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 3-th training of 4 digit fixed_random
Run ID: 20190105022036
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022036/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022036/
└ epoch: 4, step: 40, test_loss: 0.3695797324180603, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 4-th training of 4 digit fixed_random
Run ID: 20190105022044
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022044/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022044/
└ epoch: 3, step: 32, test_loss: 0.29132238030433655, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 5-th training of 4 digit fixed_random
Run ID: 20190105022050
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022050/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022050/
└ epoch: 4, step: 40, test_loss: 0.2964126169681549, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 6-th training of 4 digit fixed_random
Run ID: 20190105022057
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022057/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022057/
└ epoch: 3, step: 32, test_loss: 0.31351858377456665, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 7-th training of 4 digit fixed_random
Run ID: 20190105022103
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022103/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022103/
└ epoch: 2, step: 24, test_loss: 0.4007030427455902, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 8-th training of 4 digit fixed_random
Run ID: 20190105022110
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022110/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022110/
└ epoch: 1, step: 16, test_loss: 0.39149725437164307, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 9-th training of 4 digit fixed_random
Run ID: 20190105022116
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022116/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022116/
└ epoch: 2, step: 24, test_loss: 0.40221279859542847, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 10-th training of 4 digit fixed_random
Run ID: 20190105022123
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022123/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022123/
└ epoch: 3, step: 32, test_loss: 0.28871262073516846, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 11-th training of 4 digit fixed_random
Run ID: 20190105022129
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022129/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022129/
└ epoch: 2, step: 24, test_loss: 0.3567834496498108, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 12-th training of 4 digit fixed_random
Run ID: 20190105022136
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022136/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022136/
└ epoch: 4, step: 40, test_loss: 0.3240705132484436, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 13-th training of 4 digit fixed_random
Run ID: 20190105022142
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022142/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022142/
└ epoch: 4, step: 40, test_loss: 0.34162330627441406, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 14-th training of 4 digit fixed_random
Run ID: 20190105022149
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022149/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022149/
└ epoch: 3, step: 32, test_loss: 0.3305722177028656, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 15-th training of 4 digit fixed_random
Run ID: 20190105022156
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022156/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022156/
└ epoch: 4, step: 40, test_loss: 0.2976831793785095, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 16-th training of 4 digit fixed_random
Run ID: 20190105022202
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022202/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022202/
└ epoch: 2, step: 24, test_loss: 0.3831300735473633, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 17-th training of 4 digit fixed_random
Run ID: 20190105022208
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022208/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022208/
└ epoch: 2, step: 24, test_loss: 0.37442946434020996, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 18-th training of 4 digit fixed_random
Run ID: 20190105022215
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022215/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022215/
└ epoch: 4, step: 40, test_loss: 0.2627035975456238, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 19-th training of 4 digit fixed_random
Run ID: 20190105022221
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022221/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022221/
└ epoch: 2, step: 24, test_loss: 0.33094075322151184, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 20-th training of 4 digit fixed_random
Run ID: 20190105022227
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022227/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022227/
└ epoch: 3, step: 32, test_loss: 0.2681044638156891, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 21-th training of 4 digit fixed_random
Run ID: 20190105022233
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022233/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022233/
└ epoch: 3, step: 32, test_loss: 0.3115418255329132, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 22-th training of 4 digit fixed_random
Run ID: 20190105022240
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022240/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022240/
└ epoch: 3, step: 32, test_loss: 0.23690250515937805, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 23-th training of 4 digit fixed_random
Run ID: 20190105022246
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022246/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022246/
└ epoch: 3, step: 32, test_loss: 0.282918244600296, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 24-th training of 4 digit fixed_random
Run ID: 20190105022252
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022252/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022252/
└ epoch: 5, step: 48, test_loss: 0.22591876983642578, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 25-th training of 4 digit fixed_random
Run ID: 20190105022259
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022259/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022259/
└ epoch: 5, step: 48, test_loss: 0.23017354309558868, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 26-th training of 4 digit fixed_random
Run ID: 20190105022305
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022305/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022305/
└ epoch: 4, step: 40, test_loss: 0.3024715185165405, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 27-th training of 4 digit fixed_random
Run ID: 20190105022312
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022312/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022312/
└ epoch: 4, step: 40, test_loss: 0.3032517433166504, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
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Run the 28-th training of 4 digit fixed_random
Run ID: 20190105022319
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022319/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022319/
└ epoch: 4, step: 40, test_loss: 0.2788788676261902, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 29-th training of 4 digit fixed_random
Run ID: 20190105022325
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022325/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022325/
└ epoch: 2, step: 24, test_loss: 0.39354395866394043, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 30-th training of 4 digit fixed_random
Run ID: 20190105022331
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022331/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022331/
└ epoch: 2, step: 24, test_loss: 0.42434030771255493, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 31-th training of 4 digit fixed_random
Run ID: 20190105022338
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022338/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022338/
└ epoch: 5, step: 48, test_loss: 0.27029091119766235, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 32-th training of 4 digit fixed_random
Run ID: 20190105022345
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022345/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022345/
└ epoch: 3, step: 32, test_loss: 0.39636972546577454, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 33-th training of 4 digit fixed_random
Run ID: 20190105022350
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022350/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022350/
└ epoch: 3, step: 32, test_loss: 0.3403787612915039, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 34-th training of 4 digit fixed_random
Run ID: 20190105022356
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022356/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022356/
└ epoch: 3, step: 32, test_loss: 0.31070640683174133, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 35-th training of 4 digit fixed_random
Run ID: 20190105022403
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022403/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022403/
└ epoch: 1, step: 16, test_loss: 0.4013923406600952, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 36-th training of 4 digit fixed_random
Run ID: 20190105022408
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022408/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022408/
└ epoch: 1, step: 16, test_loss: 0.38799503445625305, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 37-th training of 4 digit fixed_random
Run ID: 20190105022413
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022413/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022413/
└ epoch: 3, step: 32, test_loss: 0.41617149114608765, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 38-th training of 4 digit fixed_random
Run ID: 20190105022419
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022419/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022419/
└ epoch: 2, step: 24, test_loss: 0.3991176187992096, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 39-th training of 4 digit fixed_random
Run ID: 20190105022425
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022425/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022425/
└ epoch: 4, step: 40, test_loss: 0.2909530997276306, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 40-th training of 4 digit fixed_random
Run ID: 20190105022431
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022431/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022431/
└ epoch: 3, step: 32, test_loss: 0.3535284101963043, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 41-th training of 4 digit fixed_random
Run ID: 20190105022437
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022437/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022437/
└ epoch: 4, step: 40, test_loss: 0.2843893766403198, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 42-th training of 4 digit fixed_random
Run ID: 20190105022443
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022443/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022443/
└ epoch: 3, step: 32, test_loss: 0.36812764406204224, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 43-th training of 4 digit fixed_random
Run ID: 20190105022449
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022449/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022449/
└ epoch: 4, step: 40, test_loss: 0.42869681119918823, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 44-th training of 4 digit fixed_random
Run ID: 20190105022455
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022455/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022455/
└ epoch: 2, step: 24, test_loss: 0.33373019099235535, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 45-th training of 4 digit fixed_random
Run ID: 20190105022501
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022501/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022501/
└ epoch: 3, step: 32, test_loss: 0.3283440172672272, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 46-th training of 4 digit fixed_random
Run ID: 20190105022506
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022506/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022506/
└ epoch: 3, step: 32, test_loss: 0.37896406650543213, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 47-th training of 4 digit fixed_random
Run ID: 20190105022512
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022512/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022512/
└ epoch: 3, step: 32, test_loss: 0.34023338556289673, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 48-th training of 4 digit fixed_random
Run ID: 20190105022518
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022518/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022518/
└ epoch: 3, step: 32, test_loss: 0.2713899314403534, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 49-th training of 4 digit fixed_random
Run ID: 20190105022524
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022524/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022524/
└ epoch: 3, step: 32, test_loss: 0.3149915933609009, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 50-th training of 4 digit fixed_random
Run ID: 20190105022530
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022530/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022530/
└ epoch: 2, step: 24, test_loss: 0.3582136332988739, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 51-th training of 4 digit fixed_random
Run ID: 20190105022535
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022535/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022535/
└ epoch: 5, step: 48, test_loss: 0.2627512514591217, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 52-th training of 4 digit fixed_random
Run ID: 20190105022541
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022541/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022541/
└ epoch: 5, step: 48, test_loss: 0.24084120988845825, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 53-th training of 4 digit fixed_random
Run ID: 20190105022547
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022547/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022547/
└ epoch: 1, step: 16, test_loss: 0.39614036679267883, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 54-th training of 4 digit fixed_random
Run ID: 20190105022553
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022553/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022553/
└ epoch: 2, step: 24, test_loss: 0.3314500153064728, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 55-th training of 4 digit fixed_random
Run ID: 20190105022558
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022558/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022558/
└ epoch: 1, step: 16, test_loss: 0.396232545375824, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 56-th training of 4 digit fixed_random
Run ID: 20190105022603
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022603/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022603/
└ epoch: 4, step: 40, test_loss: 0.3132702112197876, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 57-th training of 4 digit fixed_random
Run ID: 20190105022609
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022609/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022609/
└ epoch: 3, step: 32, test_loss: 0.40323877334594727, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 58-th training of 4 digit fixed_random
Run ID: 20190105022614
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022614/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022614/
└ epoch: 2, step: 24, test_loss: 0.38735416531562805, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 59-th training of 4 digit fixed_random
Run ID: 20190105022620
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022620/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022620/
└ epoch: 4, step: 40, test_loss: 0.36525171995162964, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 60-th training of 4 digit fixed_random
Run ID: 20190105022626
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022626/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022626/
└ epoch: 2, step: 24, test_loss: 0.38359588384628296, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 61-th training of 4 digit fixed_random
Run ID: 20190105022631
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022631/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022631/
└ epoch: 2, step: 24, test_loss: 0.4464435875415802, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 62-th training of 4 digit fixed_random
Run ID: 20190105022637
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022637/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022637/
└ epoch: 1, step: 16, test_loss: 0.42949846386909485, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 63-th training of 4 digit fixed_random
Run ID: 20190105022642
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022642/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022642/
└ epoch: 2, step: 24, test_loss: 0.40602174401283264, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 64-th training of 4 digit fixed_random
Run ID: 20190105022648
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022648/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022648/
└ epoch: 3, step: 32, test_loss: 0.34521499276161194, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 65-th training of 4 digit fixed_random
Run ID: 20190105022653
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022653/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022653/
└ epoch: 4, step: 40, test_loss: 0.35803040862083435, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 66-th training of 4 digit fixed_random
Run ID: 20190105022658
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022658/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022658/
└ epoch: 1, step: 16, test_loss: 0.37700578570365906, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 67-th training of 4 digit fixed_random
Run ID: 20190105022704
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022704/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022704/
└ epoch: 2, step: 24, test_loss: 0.34314408898353577, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 68-th training of 4 digit fixed_random
Run ID: 20190105022710
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022710/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022710/
└ epoch: 2, step: 24, test_loss: 0.28333574533462524, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 69-th training of 4 digit fixed_random
Run ID: 20190105022715
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022715/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022715/
└ epoch: 2, step: 24, test_loss: 0.39370012283325195, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 70-th training of 4 digit fixed_random
Run ID: 20190105022721
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022721/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022721/
└ epoch: 3, step: 32, test_loss: 0.34530505537986755, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 71-th training of 4 digit fixed_random
Run ID: 20190105022727
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022727/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022727/
└ epoch: 4, step: 40, test_loss: 0.31909531354904175, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 72-th training of 4 digit fixed_random
Run ID: 20190105022733
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022733/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022733/
└ epoch: 2, step: 24, test_loss: 0.43485724925994873, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 73-th training of 4 digit fixed_random
Run ID: 20190105022738
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022738/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022738/
└ epoch: 1, step: 16, test_loss: 0.3709982633590698, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 74-th training of 4 digit fixed_random
Run ID: 20190105022744
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022744/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022744/
└ epoch: 4, step: 40, test_loss: 0.2928324341773987, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 75-th training of 4 digit fixed_random
Run ID: 20190105022749
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022749/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022749/
└ epoch: 2, step: 24, test_loss: 0.32677653431892395, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 76-th training of 4 digit fixed_random
Run ID: 20190105022754
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022754/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022754/
└ epoch: 3, step: 32, test_loss: 0.3186022937297821, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 77-th training of 4 digit fixed_random
Run ID: 20190105022759
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022759/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022759/
└ epoch: 3, step: 32, test_loss: 0.3612951338291168, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 78-th training of 4 digit fixed_random
Run ID: 20190105022805
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022805/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022805/
└ epoch: 2, step: 24, test_loss: 0.32231405377388, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 79-th training of 4 digit fixed_random
Run ID: 20190105022810
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022810/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022810/
└ epoch: 2, step: 24, test_loss: 0.402443528175354, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 80-th training of 4 digit fixed_random
Run ID: 20190105022815
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022815/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022815/
└ epoch: 1, step: 16, test_loss: 0.38604530692100525, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 81-th training of 4 digit fixed_random
Run ID: 20190105022820
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022820/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022820/
└ epoch: 3, step: 32, test_loss: 0.32833588123321533, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 82-th training of 4 digit fixed_random
Run ID: 20190105022826
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022826/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022826/
└ epoch: 2, step: 24, test_loss: 0.3893047869205475, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 83-th training of 4 digit fixed_random
Run ID: 20190105022832
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022832/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022832/
└ epoch: 0, step: 8, test_loss: 0.4397122263908386, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 84-th training of 4 digit fixed_random
Run ID: 20190105022837
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022837/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022837/
└ epoch: 3, step: 32, test_loss: 0.28901535272598267, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 85-th training of 4 digit fixed_random
Run ID: 20190105021952
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105021952/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105021952/
└ epoch: 2348, step: 16443, test_loss: 0.01007864810526371, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 2-th training of 4 digit divide
Run ID: 20190105022842
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022842/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022842/
└ epoch: 3, step: 32, test_loss: 0.3659258186817169, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 86-th training of 4 digit fixed_random
Run ID: 20190105022847
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022847/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022847/
└ epoch: 2, step: 24, test_loss: 0.41273415088653564, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 87-th training of 4 digit fixed_random
Run ID: 20190105022853
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022853/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022853/
└ epoch: 1, step: 16, test_loss: 0.47204938530921936, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 88-th training of 4 digit fixed_random
Run ID: 20190105022858
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022858/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022858/
└ epoch: 4, step: 40, test_loss: 0.3450049161911011, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 89-th training of 4 digit fixed_random
Run ID: 20190105022905
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022905/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022905/
└ epoch: 4, step: 40, test_loss: 0.269500732421875, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 90-th training of 4 digit fixed_random
Run ID: 20190105022911
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022911/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022911/
└ epoch: 2, step: 24, test_loss: 0.3891209363937378, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 91-th training of 4 digit fixed_random
Run ID: 20190105021942
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105021942/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105021942/
└ epoch: 2563, step: 10256, test_loss: 0.037999242544174194, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 2-th training of 4 digit subtract
Run ID: 20190105022916
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022916/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022916/
└ epoch: 1, step: 16, test_loss: 0.44870525598526, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 92-th training of 4 digit fixed_random
Run ID: 20190105022921
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022921/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022921/
└ epoch: 1, step: 16, test_loss: 0.3871356248855591, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 93-th training of 4 digit fixed_random
Run ID: 20190105022928
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022928/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022928/
└ epoch: 1, step: 16, test_loss: 0.3786413371562958, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 94-th training of 4 digit fixed_random
Run ID: 20190105022934
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022934/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022934/
└ epoch: 4, step: 40, test_loss: 0.4066847264766693, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 95-th training of 4 digit fixed_random
Run ID: 20190105022939
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022939/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022939/
└ epoch: 2, step: 24, test_loss: 0.41760557889938354, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 96-th training of 4 digit fixed_random
Run ID: 20190105022945
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022945/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022945/
└ epoch: 3, step: 32, test_loss: 0.33712929487228394, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 97-th training of 4 digit fixed_random
Run ID: 20190105022951
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022951/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022951/
└ epoch: 1, step: 16, test_loss: 0.47166821360588074, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 98-th training of 4 digit fixed_random
Run ID: 20190105022957
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105022957/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105022957/
└ epoch: 4, step: 40, test_loss: 0.38121408224105835, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 99-th training of 4 digit fixed_random
Run ID: 20190105023003
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105023003/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105023003/
└ epoch: 3, step: 32, test_loss: 0.3307913839817047, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 100-th training of 4 digit fixed_random
Run ID: 20190105023009
tb_logs/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]_run-20190105023009/
saved_models/cogsci2019/fixed_random_4bit_mlp_sigmoid_h[64]/run-20190105023009/
└ epoch: 3, step: 32, test_loss: 0.3523494005203247, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
Run ID: 20190105021932
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105021932/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105021932/
└ epoch: 2901, step: 23216, test_loss: 0.03968817740678787, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 2-th training of 4 digit add
Run ID: 20190105022844
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105022844/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105022844/
└ epoch: 2433, step: 17038, test_loss: 0.007556099910289049, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 3-th training of 4 digit divide
Run ID: 20190105022918
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105022918/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105022918/
└ epoch: 2585, step: 10344, test_loss: 0.04044651985168457, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 3-th training of 4 digit subtract
Run ID: 20190105022034
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105022034/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105022034/
└ epoch: 17276, step: 138216, test_loss: 0.023158937692642212, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 2-th training of 4 digit random
Run ID: 20190105023712
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105023712/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105023712/
└ epoch: 2285, step: 16002, test_loss: 0.00909622572362423, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 4-th training of 4 digit divide
Run ID: 20190105022012
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105022012/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105022012/
└ epoch: 4680, step: 32767, test_loss: 0.007932750508189201, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 2-th training of 4 digit modulo
Run ID: 20190105023750
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105023750/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105023750/
└ epoch: 2845, step: 11384, test_loss: 0.02342218905687332, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 4-th training of 4 digit subtract
Run ID: 20190105023119
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105023119/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105023119/
└ epoch: 4082, step: 32664, test_loss: 0.019570454955101013, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 3-th training of 4 digit add
Run ID: 20190105024416
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105024416/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105024416/
└ epoch: 2520, step: 17647, test_loss: 0.007194107864052057, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 5-th training of 4 digit divide
Run ID: 20190105024724
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105024724/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105024724/
└ epoch: 2690, step: 10764, test_loss: 0.02802005410194397, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 5-th training of 4 digit subtract
Run ID: 20190105024202
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105024202/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105024202/
└ epoch: 14451, step: 115616, test_loss: 0.04697300121188164, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 3-th training of 4 digit random
Run ID: 20190105025300
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105025300/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105025300/
└ epoch: 2612, step: 18291, test_loss: 0.007914247922599316, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 6-th training of 4 digit divide
Run ID: 20190105024953
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105024953/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105024953/
└ epoch: 3533, step: 28272, test_loss: 0.02864670753479004, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 4-th training of 4 digit add
Run ID: 20190105025626
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105025626/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105025626/
└ epoch: 3051, step: 12208, test_loss: 0.02617478556931019, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 6-th training of 4 digit subtract
Run ID: 20190105030145
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105030145/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105030145/
└ epoch: 2389, step: 16730, test_loss: 0.008984609507024288, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 7-th training of 4 digit divide
Run ID: 20190105022002
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105022002/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105022002/
└ epoch: 6959, step: 55680, test_loss: 0.012375732883810997, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 2-th training of 4 digit multiply
Run ID: 20190105030403
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105030403/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105030403/
└ epoch: 2674, step: 21400, test_loss: 0.03911541402339935, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 5-th training of 4 digit add
Run ID: 20190105024553
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105024553/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105024553/
└ epoch: 5091, step: 35644, test_loss: 0.00706263305619359, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 3-th training of 4 digit modulo
Run ID: 20190105030702
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105030702/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105030702/
└ epoch: 2852, step: 11412, test_loss: 0.02522183768451214, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 7-th training of 4 digit subtract
Run ID: 20190105025904
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105025904/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105025904/
└ epoch: 15651, step: 125216, test_loss: 0.03846115246415138, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 4-th training of 4 digit random
Run ID: 20190105030932
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105030932/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105030932/
└ epoch: 2549, step: 17850, test_loss: 0.006995535455644131, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 8-th training of 4 digit divide
Run ID: 20190105031845
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105031845/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105031845/
└ epoch: 2349, step: 16450, test_loss: 0.008159189485013485, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 9-th training of 4 digit divide
Run ID: 20190105031653
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105031653/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105031653/
└ epoch: 2952, step: 11812, test_loss: 0.02685455232858658, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 8-th training of 4 digit subtract
Run ID: 20190105031315
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105031315/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105031315/
└ epoch: 4404, step: 35240, test_loss: 0.01349835004657507, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
Run ID: 20190105032634
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105032634/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105032634/
└ epoch: 2520, step: 17647, test_loss: 0.007003446575254202, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
Run ID: 20190105031725
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105031725/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105031725/
└ epoch: 15111, step: 120896, test_loss: 0.04669110104441643, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 6-th training of 4 digit add
===================================================================
Run the 10-th training of 4 digit divide
===================================================================
Run the 5-th training of 4 digit random
Run ID: 20190105033449
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105033449/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105033449/
Traceback (most recent call last):
  File "mlp_run.py", line 481, in <module>
    main()
  File "mlp_run.py", line 17, in main
    mlp_run(experiment_name, operand_bits, operator, hidden_units, str_device_num)
  File "mlp_run.py", line 429, in mlp_run
    dev_run_outputs, dev_tlu_run_outputs, carry_run_outputs)
  File "/home/sjcho/Projects/01_arithmetic-neural-nets-exe/utils.py", line 336, in write_measures
    measure_logs = pickle.load(f)
EOFError: Ran out of input
===================================================================
Run the 11-th training of 4 digit divide
Run ID: 20190105031408
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105031408/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105031408/
└ epoch: 4285, step: 30002, test_loss: 0.010139861144125462, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 4-th training of 4 digit modulo
Run ID: 20190105032728
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105032728/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105032728/
└ epoch: 2661, step: 10648, test_loss: 0.03270554170012474, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 9-th training of 4 digit subtract
Run ID: 20190105033455
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105033455/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105033455/
└ epoch: 2398, step: 16793, test_loss: 0.008758723735809326, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 12-th training of 4 digit divide
Run ID: 20190105031212
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105031212/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105031212/
└ epoch: 5675, step: 45408, test_loss: 0.02725064568221569, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 3-th training of 4 digit multiply
Run ID: 20190105033602
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105033602/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105033602/
└ epoch: 3072, step: 12292, test_loss: 0.027531171217560768, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 10-th training of 4 digit subtract
Run ID: 20190105033449
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105033449/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105033449/
└ epoch: 3158, step: 25272, test_loss: 0.038380447775125504, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 7-th training of 4 digit add
Run ID: 20190105034253
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105034253/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105034253/
└ epoch: 2487, step: 17416, test_loss: 0.008162092417478561, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 13-th training of 4 digit divide
Run ID: 20190105034716
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105034716/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105034716/
└ epoch: 3053, step: 12216, test_loss: 0.02853250503540039, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 11-th training of 4 digit subtract
Run ID: 20190105033458
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105033458/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105033458/
└ epoch: 4567, step: 31976, test_loss: 0.00743936188519001, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 5-th training of 4 digit modulo
Run ID: 20190105035124
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105035124/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105035124/
└ epoch: 2491, step: 17444, test_loss: 0.007550109643489122, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 14-th training of 4 digit divide
Run ID: 20190105033449
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105033449/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105033449/
└ epoch: 21226, step: 169816, test_loss: 0.01313685066998005, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 6-th training of 4 digit random
Run ID: 20190105034731
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105034731/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105034731/
└ epoch: 4006, step: 32056, test_loss: 0.015745479613542557, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 8-th training of 4 digit add
Run ID: 20190105035948
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105035948/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105035948/
└ epoch: 2454, step: 17185, test_loss: 0.006610617507249117, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 15-th training of 4 digit divide
Run ID: 20190105035823
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105035823/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105035823/
└ epoch: 2996, step: 11988, test_loss: 0.020297391340136528, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 12-th training of 4 digit subtract
Run ID: 20190105040803
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105040803/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105040803/
└ epoch: 2569, step: 17990, test_loss: 0.007304628845304251, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 16-th training of 4 digit divide
Run ID: 20190105035829
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105035829/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105035829/
└ epoch: 4067, step: 28476, test_loss: 0.012347164563834667, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 6-th training of 4 digit modulo
Run ID: 20190105040557
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105040557/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105040557/
└ epoch: 3139, step: 25120, test_loss: 0.028542760759592056, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 9-th training of 4 digit add
Run ID: 20190105040012
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105040012/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105040012/
└ epoch: 15775, step: 126208, test_loss: 0.049653537571430206, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 7-th training of 4 digit random
Run ID: 20190105040913
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105040913/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105040913/
└ epoch: 2956, step: 11828, test_loss: 0.025173457339406013, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 13-th training of 4 digit subtract
Run ID: 20190105034652
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105034652/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105034652/
└ epoch: 5881, step: 47056, test_loss: 0.02619905397295952, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 4-th training of 4 digit multiply
Run ID: 20190105041655
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105041655/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105041655/
└ epoch: 2431, step: 17024, test_loss: 0.008373220451176167, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 17-th training of 4 digit divide
Run ID: 20190105041936
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105041936/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105041936/
└ epoch: 2438, step: 9756, test_loss: 0.04256006330251694, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 14-th training of 4 digit subtract
Run ID: 20190105041742
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105041742/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105041742/
└ epoch: 3204, step: 25640, test_loss: 0.03844534978270531, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 10-th training of 4 digit add
Run ID: 20190105042523
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105042523/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105042523/
└ epoch: 2472, step: 17311, test_loss: 0.007548896595835686, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 18-th training of 4 digit divide
Run ID: 20190105041844
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105041844/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105041844/
└ epoch: 14929, step: 119440, test_loss: 0.04717583581805229, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 8-th training of 4 digit random
Run ID: 20190105042720
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105042720/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105042720/
└ epoch: 2821, step: 11288, test_loss: 0.03589658811688423, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 15-th training of 4 digit subtract
Run ID: 20190105043345
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105043345/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105043345/
└ epoch: 2432, step: 17031, test_loss: 0.007373567204922438, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 19-th training of 4 digit divide
Run ID: 20190105041707
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105041707/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105041707/
└ epoch: 4891, step: 34244, test_loss: 0.005269798915833235, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 7-th training of 4 digit modulo
Run ID: 20190105043656
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105043656/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105043656/
└ epoch: 2541, step: 10168, test_loss: 0.03654082119464874, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 16-th training of 4 digit subtract
Run ID: 20190105043043
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105043043/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105043043/
└ epoch: 3739, step: 29920, test_loss: 0.015594974160194397, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 11-th training of 4 digit add
Run ID: 20190105044153
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105044153/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105044153/
└ epoch: 2373, step: 16618, test_loss: 0.008845260366797447, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 20-th training of 4 digit divide
Run ID: 20190105044448
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105044448/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105044448/
└ epoch: 2325, step: 9304, test_loss: 0.047657568007707596, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 17-th training of 4 digit subtract
Run ID: 20190105043635
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105043635/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105043635/
└ epoch: 15082, step: 120664, test_loss: 0.04373607784509659, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 9-th training of 4 digit random
Run ID: 20190105044955
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105044955/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105044955/
└ epoch: 2432, step: 17031, test_loss: 0.007150362245738506, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 21-th training of 4 digit divide
Run ID: 20190105045158
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105045158/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105045158/
└ epoch: 2593, step: 10376, test_loss: 0.03078332357108593, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 18-th training of 4 digit subtract
Run ID: 20190105044659
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105044659/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105044659/
└ epoch: 3981, step: 31856, test_loss: 0.01781831681728363, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 12-th training of 4 digit add
Run ID: 20190105045749
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105045749/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105045749/
└ epoch: 2289, step: 16030, test_loss: 0.009376914240419865, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 22-th training of 4 digit divide
Run ID: 20190105044315
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105044315/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105044315/
└ epoch: 4627, step: 32396, test_loss: 0.009530494920909405, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 8-th training of 4 digit modulo
Run ID: 20190105050007
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105050007/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105050007/
└ epoch: 2473, step: 9896, test_loss: 0.04370098561048508, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 19-th training of 4 digit subtract
Run ID: 20190105042433
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105042433/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105042433/
└ epoch: 6613, step: 52912, test_loss: 0.01176035962998867, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 5-th training of 4 digit multiply
Run ID: 20190105045420
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105045420/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105045420/
└ epoch: 15403, step: 123232, test_loss: 0.040987517684698105, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 10-th training of 4 digit random
Run ID: 20190105050452
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105050452/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105050452/
└ epoch: 2433, step: 17038, test_loss: 0.009250429458916187, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 23-th training of 4 digit divide
Run ID: 20190105050446
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105050446/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105050446/
└ epoch: 3350, step: 26808, test_loss: 0.023461174219846725, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 13-th training of 4 digit add
Run ID: 20190105050755
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105050755/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105050755/
└ epoch: 3306, step: 13228, test_loss: 0.020310867577791214, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 20-th training of 4 digit subtract
Run ID: 20190105051319
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105051319/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105051319/
└ epoch: 2486, step: 17409, test_loss: 0.00742975901812315, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 24-th training of 4 digit divide
Run ID: 20190105052045
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105052045/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105052045/
└ epoch: 2703, step: 10816, test_loss: 0.028812777251005173, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 21-th training of 4 digit subtract
Run ID: 20190105050627
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105050627/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105050627/
└ epoch: 4572, step: 32011, test_loss: 0.010718119330704212, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 9-th training of 4 digit modulo
Run ID: 20190105052148
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105052148/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105052148/
└ epoch: 2517, step: 17626, test_loss: 0.006986395455896854, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 25-th training of 4 digit divide
Run ID: 20190105051228
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105051228/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105051228/
└ epoch: 17760, step: 142088, test_loss: 0.028840091079473495, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 11-th training of 4 digit random
Run ID: 20190105051824
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105051824/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105051824/
└ epoch: 3603, step: 28832, test_loss: 0.025986559689044952, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 14-th training of 4 digit add
Run ID: 20190105052933
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105052933/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105052933/
└ epoch: 2527, step: 10112, test_loss: 0.033538952469825745, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 22-th training of 4 digit subtract
Run ID: 20190105053019
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105053019/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105053019/
└ epoch: 2280, step: 15967, test_loss: 0.01096391398459673, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 26-th training of 4 digit divide
Run ID: 20190105053329
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105053329/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105053329/
└ epoch: 3095, step: 24768, test_loss: 0.03231167793273926, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 15-th training of 4 digit add
Run ID: 20190105053743
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105053743/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105053743/
└ epoch: 2435, step: 17052, test_loss: 0.008772993460297585, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 27-th training of 4 digit divide
Run ID: 20190105053742
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105053742/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105053742/
└ epoch: 2708, step: 10836, test_loss: 0.03670172020792961, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 23-th training of 4 digit subtract
Run ID: 20190105053328
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105053328/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105053328/
└ epoch: 14502, step: 116024, test_loss: 0.06832589209079742, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 12-th training of 4 digit random
Run ID: 20190105054533
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105054533/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105054533/
└ epoch: 2481, step: 17374, test_loss: 0.0073278797790408134, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 28-th training of 4 digit divide
Run ID: 20190105054637
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105054637/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105054637/
└ epoch: 2711, step: 10848, test_loss: 0.03631836920976639, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 24-th training of 4 digit subtract
Run ID: 20190105053010
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105053010/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105053010/
└ epoch: 5049, step: 35350, test_loss: 0.0070299794897437096, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 10-th training of 4 digit modulo
Run ID: 20190105055343
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105055343/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105055343/
└ epoch: 2324, step: 16275, test_loss: 0.009198210202157497, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 29-th training of 4 digit divide
Run ID: 20190105051016
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105051016/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105051016/
└ epoch: 7008, step: 56072, test_loss: 0.012533167377114296, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 6-th training of 4 digit multiply
Run ID: 20190105054504
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105054504/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105054504/
└ epoch: 4129, step: 33040, test_loss: 0.01805044710636139, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 16-th training of 4 digit add
Run ID: 20190105055515
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105055515/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105055515/
└ epoch: 2719, step: 10880, test_loss: 0.0276678167283535, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 25-th training of 4 digit subtract
Run ID: 20190105055030
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105055030/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105055030/
└ epoch: 14227, step: 113824, test_loss: 0.06242773309350014, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 13-th training of 4 digit random
Run ID: 20190105060110
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105060110/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105060110/
└ epoch: 2371, step: 16604, test_loss: 0.008614287711679935, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 30-th training of 4 digit divide
Run ID: 20190105060430
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105060430/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105060430/
└ epoch: 2362, step: 9452, test_loss: 0.04111536219716072, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 26-th training of 4 digit subtract
Run ID: 20190105060924
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105060924/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105060924/
└ epoch: 2373, step: 16618, test_loss: 0.007968278601765633, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 31-th training of 4 digit divide
Run ID: 20190105060411
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105060411/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105060411/
└ epoch: 3321, step: 26576, test_loss: 0.029403846710920334, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 17-th training of 4 digit add
Run ID: 20190105061148
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105061148/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105061148/
└ epoch: 2990, step: 11964, test_loss: 0.027709554880857468, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 27-th training of 4 digit subtract
Run ID: 20190105055733
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105055733/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105055733/
└ epoch: 4847, step: 33936, test_loss: 0.008206170052289963, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 11-th training of 4 digit modulo
Run ID: 20190105061711
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105061711/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105061711/
└ epoch: 2173, step: 15218, test_loss: 0.01228441670536995, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 32-th training of 4 digit divide
Run ID: 20190105060725
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105060725/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105060725/
└ epoch: 17565, step: 140528, test_loss: 0.03953336924314499, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 14-th training of 4 digit random
Run ID: 20190105061723
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105061723/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105061723/
└ epoch: 2932, step: 23464, test_loss: 0.044497326016426086, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 18-th training of 4 digit add
Run ID: 20190105062401
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105062401/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105062401/
└ epoch: 2600, step: 18207, test_loss: 0.005787876434624195, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 33-th training of 4 digit divide
Run ID: 20190105062216
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105062216/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105062216/
└ epoch: 3067, step: 12272, test_loss: 0.021363208070397377, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 28-th training of 4 digit subtract
Run ID: 20190105060113
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105060113/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105060113/
└ epoch: 5573, step: 44592, test_loss: 0.024641675874590874, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 7-th training of 4 digit multiply
Run ID: 20190105063301
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105063301/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105063301/
└ epoch: 2378, step: 16653, test_loss: 0.008986719883978367, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 34-th training of 4 digit divide
Run ID: 20190105062810
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105062810/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105062810/
└ epoch: 3461, step: 27696, test_loss: 0.022456154227256775, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 19-th training of 4 digit add
Run ID: 20190105063351
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105063351/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105063351/
└ epoch: 3189, step: 12760, test_loss: 0.02264305017888546, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 29-th training of 4 digit subtract
Run ID: 20190105062348
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105062348/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105062348/
└ epoch: 4650, step: 32557, test_loss: 0.008819478563964367, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 12-th training of 4 digit modulo
Run ID: 20190105064059
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105064059/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105064059/
└ epoch: 2348, step: 16443, test_loss: 0.009385098703205585, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 35-th training of 4 digit divide
Run ID: 20190105062808
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105062808/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105062808/
└ epoch: 20982, step: 167864, test_loss: 0.013166314922273159, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 15-th training of 4 digit random
Run ID: 20190105064557
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105064557/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105064557/
└ epoch: 2615, step: 10464, test_loss: 0.028482550755143166, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 30-th training of 4 digit subtract
Run ID: 20190105064842
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105064842/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105064842/
└ epoch: 2428, step: 17003, test_loss: 0.008236597292125225, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 36-th training of 4 digit divide
Run ID: 20190105064230
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105064230/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105064230/
└ epoch: 3988, step: 31912, test_loss: 0.019010081887245178, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 20-th training of 4 digit add
Run ID: 20190105065441
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105065441/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105065441/
└ epoch: 2220, step: 8884, test_loss: 0.04561382904648781, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 31-th training of 4 digit subtract
Run ID: 20190105065647
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105065647/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105065647/
└ epoch: 2451, step: 17164, test_loss: 0.009580726735293865, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 37-th training of 4 digit divide
Run ID: 20190105070102
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105070102/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105070102/
└ epoch: 2860, step: 11444, test_loss: 0.027851402759552002, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 32-th training of 4 digit subtract
Run ID: 20190105070046
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105070046/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105070046/
└ epoch: 2902, step: 23224, test_loss: 0.04517005383968353, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 21-th training of 4 digit add
Run ID: 20190105064806
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105064806/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105064806/
└ epoch: 4651, step: 32564, test_loss: 0.007953350432217121, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 13-th training of 4 digit modulo
Run ID: 20190105070458
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105070458/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105070458/
└ epoch: 2357, step: 16506, test_loss: 0.009303911589086056, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 38-th training of 4 digit divide
Run ID: 20190105063429
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105063429/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105063429/
└ epoch: 6131, step: 49056, test_loss: 0.020607149228453636, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 8-th training of 4 digit multiply
Run ID: 20190105065254
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105065254/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105065254/
└ epoch: 18920, step: 151368, test_loss: 0.021438635885715485, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 16-th training of 4 digit random
Run ID: 20190105071038
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105071038/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105071038/
└ epoch: 2837, step: 11352, test_loss: 0.026257352903485298, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 33-th training of 4 digit subtract
Run ID: 20190105071232
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105071232/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105071232/
└ epoch: 2546, step: 17829, test_loss: 0.007020005956292152, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 39-th training of 4 digit divide
Run ID: 20190105071105
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105071105/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105071105/
└ epoch: 3277, step: 26224, test_loss: 0.03299856558442116, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 22-th training of 4 digit add
Run ID: 20190105072038
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105072038/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105072038/
└ epoch: 2623, step: 10496, test_loss: 0.031490545719861984, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 34-th training of 4 digit subtract
Run ID: 20190105072136
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105072136/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105072136/
└ epoch: 2420, step: 16947, test_loss: 0.008312004618346691, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 40-th training of 4 digit divide
Run ID: 20190105071509
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105071509/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105071509/
└ epoch: 15118, step: 120952, test_loss: 0.04614296555519104, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 17-th training of 4 digit random
Run ID: 20190105071148
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105071148/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105071148/
└ epoch: 4693, step: 32858, test_loss: 0.009725828655064106, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 14-th training of 4 digit modulo
Run ID: 20190105072921
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105072921/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105072921/
└ epoch: 2657, step: 10632, test_loss: 0.04254937544465065, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 35-th training of 4 digit subtract
Run ID: 20190105072431
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105072431/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105072431/
└ epoch: 3450, step: 27608, test_loss: 0.023860987275838852, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 23-th training of 4 digit add
Run ID: 20190105072945
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105072945/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105072945/
└ epoch: 2603, step: 18228, test_loss: 0.006607879418879747, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 41-th training of 4 digit divide
Run ID: 20190105073834
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105073834/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105073834/
└ epoch: 2496, step: 17479, test_loss: 0.007700091227889061, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 42-th training of 4 digit divide
Run ID: 20190105073758
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105073758/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105073758/
└ epoch: 2818, step: 11276, test_loss: 0.030501246452331543, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 36-th training of 4 digit subtract
Run ID: 20190105071421
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105071421/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105071421/
└ epoch: 5837, step: 46704, test_loss: 0.02375420741736889, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 9-th training of 4 digit multiply
Run ID: 20190105073828
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105073828/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105073828/
└ epoch: 3353, step: 26832, test_loss: 0.02853573113679886, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 24-th training of 4 digit add
Run ID: 20190105074653
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105074653/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105074653/
└ epoch: 2392, step: 16751, test_loss: 0.008064006455242634, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 43-th training of 4 digit divide
Run ID: 20190105073304
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105073304/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105073304/
└ epoch: 19171, step: 153376, test_loss: 0.03127583861351013, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 18-th training of 4 digit random
Run ID: 20190105074749
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105074749/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105074749/
└ epoch: 2589, step: 10360, test_loss: 0.0327339805662632, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 37-th training of 4 digit subtract
Run ID: 20190105075200
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105075200/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105075200/
└ epoch: 2718, step: 21752, test_loss: 0.044665995985269547, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 25-th training of 4 digit add
Run ID: 20190105075450
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105075450/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105075450/
└ epoch: 2394, step: 16765, test_loss: 0.007507041096687317, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 44-th training of 4 digit divide
Run ID: 20190105073628
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105073628/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105073628/
└ epoch: 4914, step: 34405, test_loss: 0.007781629450619221, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 15-th training of 4 digit modulo
Run ID: 20190105075619
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105075619/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105075619/
└ epoch: 2463, step: 9856, test_loss: 0.0396178662776947, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 38-th training of 4 digit subtract
Run ID: 20190105080249
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105080249/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105080249/
└ epoch: 2327, step: 16296, test_loss: 0.008877381682395935, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 45-th training of 4 digit divide
Run ID: 20190105075545
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105075545/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105075545/
└ epoch: 13885, step: 111088, test_loss: 0.050645168870687485, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 19-th training of 4 digit random
Run ID: 20190105080142
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105080142/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105080142/
└ epoch: 3154, step: 25240, test_loss: 0.03849905729293823, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 26-th training of 4 digit add
Run ID: 20190105080404
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105080404/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105080404/
└ epoch: 2832, step: 11332, test_loss: 0.03315433859825134, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 39-th training of 4 digit subtract
Run ID: 20190105081036
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105081036/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105081036/
└ epoch: 2138, step: 14973, test_loss: 0.010024894960224628, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 46-th training of 4 digit divide
Run ID: 20190105081356
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105081356/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105081356/
└ epoch: 2599, step: 10400, test_loss: 0.03954167291522026, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 40-th training of 4 digit subtract
Run ID: 20190105075041
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105075041/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105075041/
└ epoch: 5417, step: 43344, test_loss: 0.02505742944777012, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 10-th training of 4 digit multiply
Run ID: 20190105081714
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105081714/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105081714/
└ epoch: 2576, step: 18039, test_loss: 0.006756311282515526, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 47-th training of 4 digit divide
Run ID: 20190105080342
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105080342/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105080342/
└ epoch: 4367, step: 30576, test_loss: 0.010401560924947262, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 16-th training of 4 digit modulo
Run ID: 20190105081205
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105081205/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105081205/
└ epoch: 15828, step: 126632, test_loss: 0.04334952309727669, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 20-th training of 4 digit random
Run ID: 20190105081354
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105081354/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105081354/
└ epoch: 3794, step: 30360, test_loss: 0.012510825879871845, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 27-th training of 4 digit add
Run ID: 20190105082211
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105082211/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105082211/
└ epoch: 2718, step: 10876, test_loss: 0.03479088842868805, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 41-th training of 4 digit subtract
Run ID: 20190105082550
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105082550/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105082550/
└ epoch: 2568, step: 17983, test_loss: 0.0072371866554021835, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 48-th training of 4 digit divide
Run ID: 20190105083103
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105083103/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105083103/
└ epoch: 2600, step: 20808, test_loss: 0.0467509925365448, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 28-th training of 4 digit add
Run ID: 20190105083512
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105083512/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105083512/
└ epoch: 2343, step: 16408, test_loss: 0.00882706418633461, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 49-th training of 4 digit divide
Run ID: 20190105083134
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105083134/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105083134/
└ epoch: 3335, step: 13344, test_loss: 0.016743894666433334, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 42-th training of 4 digit subtract
Run ID: 20190105084248
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105084248/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105084248/
└ epoch: 2414, step: 16905, test_loss: 0.009239580482244492, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 50-th training of 4 digit divide
Run ID: 20190105083102
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105083102/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105083102/
└ epoch: 16747, step: 133984, test_loss: 0.03914548084139824, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 21-th training of 4 digit random
Run ID: 20190105082600
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105082600/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105082600/
└ epoch: 5048, step: 35343, test_loss: 0.006245843600481749, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 17-th training of 4 digit modulo
Run ID: 20190105084433
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105084433/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105084433/
└ epoch: 2964, step: 11860, test_loss: 0.024490531533956528, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
Run ID: 20190105083951
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105083951/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105083951/
└ epoch: 3576, step: 28616, test_loss: 0.025046493858098984, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 43-th training of 4 digit subtract
===================================================================
Run the 29-th training of 4 digit add
Run ID: 20190105085431
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105085431/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105085431/
Traceback (most recent call last):
  File "mlp_run.py", line 481, in <module>
    main()
  File "mlp_run.py", line 17, in main
    mlp_run(experiment_name, operand_bits, operator, hidden_units, str_device_num)
  File "mlp_run.py", line 429, in mlp_run
    dev_run_outputs, dev_tlu_run_outputs, carry_run_outputs)
  File "/home/sjcho/Projects/01_arithmetic-neural-nets-exe/utils.py", line 336, in write_measures
    measure_logs = pickle.load(f)
EOFError: Ran out of input
===================================================================
Run the 44-th training of 4 digit subtract
Run ID: 20190105085036
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105085036/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105085036/
└ epoch: 2384, step: 16695, test_loss: 0.009583119302988052, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 51-th training of 4 digit divide
Run ID: 20190105082256
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105082256/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105082256/
└ epoch: 5705, step: 45648, test_loss: 0.022390266880393028, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 11-th training of 4 digit multiply
Run ID: 20190105085431
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105085431/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105085431/
└ epoch: 2839, step: 22720, test_loss: 0.03753269836306572, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 30-th training of 4 digit add
Run ID: 20190105085437
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105085437/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105085437/
└ epoch: 2997, step: 11992, test_loss: 0.023903977125883102, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 45-th training of 4 digit subtract
Run ID: 20190105085831
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105085831/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105085831/
└ epoch: 2380, step: 16667, test_loss: 0.008786306716501713, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 52-th training of 4 digit divide
Run ID: 20190105085037
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105085037/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105085037/
└ epoch: 16578, step: 132632, test_loss: 0.03696170821785927, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 22-th training of 4 digit random
Run ID: 20190105090634
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105090634/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105090634/
└ epoch: 2432, step: 17031, test_loss: 0.008420305326581001, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
Run ID: 20190105090543
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105090543/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105090543/
└ epoch: 2645, step: 10584, test_loss: 0.03009967878460884, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 53-th training of 4 digit divide
===================================================================
Run the 46-th training of 4 digit subtract
Run ID: 20190105091433
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105091433/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105091433/
Traceback (most recent call last):
  File "mlp_run.py", line 481, in <module>
    main()
  File "mlp_run.py", line 17, in main
    mlp_run(experiment_name, operand_bits, operator, hidden_units, str_device_num)
  File "mlp_run.py", line 429, in mlp_run
    dev_run_outputs, dev_tlu_run_outputs, carry_run_outputs)
  File "/home/sjcho/Projects/01_arithmetic-neural-nets-exe/utils.py", line 336, in write_measures
    measure_logs = pickle.load(f)
EOFError: Ran out of input
===================================================================
Run the 54-th training of 4 digit divide
Run ID: 20190105090505
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105090505/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105090505/
└ epoch: 3138, step: 25112, test_loss: 0.033720195293426514, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 31-th training of 4 digit add
Run ID: 20190105085352
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105085352/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105085352/
└ epoch: 4555, step: 31892, test_loss: 0.010224748402833939, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 18-th training of 4 digit modulo
Run ID: 20190105091439
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105091439/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105091439/
└ epoch: 2424, step: 16975, test_loss: 0.00924722570925951, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 55-th training of 4 digit divide
Run ID: 20190105091433
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105091433/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105091433/
└ epoch: 2963, step: 11856, test_loss: 0.026843439787626266, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 47-th training of 4 digit subtract
Run ID: 20190105091719
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105091719/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105091719/
└ epoch: 3037, step: 24304, test_loss: 0.033062927424907684, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 32-th training of 4 digit add
Run ID: 20190105092246
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105092246/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105092246/
└ epoch: 2277, step: 15946, test_loss: 0.009544257074594498, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 56-th training of 4 digit divide
Run ID: 20190105091021
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105091021/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105091021/
└ epoch: 19461, step: 155696, test_loss: 0.013909408822655678, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 23-th training of 4 digit random
Run ID: 20190105092517
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105092517/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105092517/
└ epoch: 2962, step: 11852, test_loss: 0.029518380761146545, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 48-th training of 4 digit subtract
Run ID: 20190105093014
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105093014/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105093014/
└ epoch: 2316, step: 16219, test_loss: 0.009263512678444386, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 57-th training of 4 digit divide
Run ID: 20190105085837
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105085837/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105085837/
└ epoch: 6051, step: 48416, test_loss: 0.01440977118909359, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 12-th training of 4 digit multiply
Run ID: 20190105092848
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105092848/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105092848/
└ epoch: 2714, step: 21720, test_loss: 0.03242535889148712, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 33-th training of 4 digit add
Run ID: 20190105091729
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105091729/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105091729/
└ epoch: 4929, step: 34510, test_loss: 0.008402704261243343, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 19-th training of 4 digit modulo
Run ID: 20190105093544
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105093544/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105093544/
└ epoch: 2592, step: 10372, test_loss: 0.03582093119621277, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 49-th training of 4 digit subtract
Run ID: 20190105093732
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105093732/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105093732/
└ epoch: 2546, step: 17829, test_loss: 0.007765862625092268, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 58-th training of 4 digit divide
Run ID: 20190105094426
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105094426/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105094426/
└ epoch: 2279, step: 9120, test_loss: 0.05361204221844673, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 50-th training of 4 digit subtract
Run ID: 20190105093313
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105093313/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105093313/
└ epoch: 15562, step: 124504, test_loss: 0.049975015223026276, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 24-th training of 4 digit random
Run ID: 20190105093801
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105093801/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105093801/
└ epoch: 3620, step: 28968, test_loss: 0.017907213419675827, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 34-th training of 4 digit add
Run ID: 20190105094637
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105094637/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105094637/
└ epoch: 2531, step: 17724, test_loss: 0.006907470989972353, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 59-th training of 4 digit divide
Run ID: 20190105095128
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105095128/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105095128/
└ epoch: 2780, step: 11124, test_loss: 0.03575105592608452, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 51-th training of 4 digit subtract
Run ID: 20190105095519
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105095519/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105095519/
└ epoch: 2514, step: 17605, test_loss: 0.008185762912034988, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 60-th training of 4 digit divide
Run ID: 20190105095349
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105095349/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105095349/
└ epoch: 2854, step: 22840, test_loss: 0.033850666135549545, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 35-th training of 4 digit add
Run ID: 20190105100042
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105100042/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105100042/
└ epoch: 2510, step: 10044, test_loss: 0.04097249358892441, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 52-th training of 4 digit subtract
Run ID: 20190105094417
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105094417/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105094417/
└ epoch: 4729, step: 33110, test_loss: 0.009373411536216736, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 20-th training of 4 digit modulo
Run ID: 20190105095139
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105095139/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105095139/
└ epoch: 15608, step: 124872, test_loss: 0.052176959812641144, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 25-th training of 4 digit random
Run ID: 20190105100344
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105100344/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105100344/
└ epoch: 2453, step: 17178, test_loss: 0.007807004731148481, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 61-th training of 4 digit divide
Run ID: 20190105100822
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105100822/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105100822/
└ epoch: 2451, step: 9808, test_loss: 0.04095161706209183, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 53-th training of 4 digit subtract
Run ID: 20190105093752
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105093752/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105093752/
└ epoch: 6150, step: 49208, test_loss: 0.017090601846575737, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 13-th training of 4 digit multiply
Run ID: 20190105100410
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105100410/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105100410/
└ epoch: 3605, step: 28848, test_loss: 0.025798430666327477, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 36-th training of 4 digit add
Run ID: 20190105101200
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105101200/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105101200/
└ epoch: 2475, step: 17332, test_loss: 0.007068255450576544, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 62-th training of 4 digit divide
Run ID: 20190105101555
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105101555/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105101555/
└ epoch: 2642, step: 10572, test_loss: 0.030772952362895012, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 54-th training of 4 digit subtract
Run ID: 20190105101008
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105101008/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105101008/
└ epoch: 14807, step: 118464, test_loss: 0.05751681327819824, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 26-th training of 4 digit random
Run ID: 20190105102027
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105102027/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105102027/
└ epoch: 2404, step: 16835, test_loss: 0.009095937944948673, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 63-th training of 4 digit divide
Run ID: 20190105100851
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105100851/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105100851/
└ epoch: 4457, step: 31206, test_loss: 0.010457238182425499, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 21-th training of 4 digit modulo
Run ID: 20190105102448
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105102448/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105102448/
└ epoch: 2753, step: 11016, test_loss: 0.027468891814351082, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 55-th training of 4 digit subtract
Run ID: 20190105102831
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105102831/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105102831/
└ epoch: 2438, step: 17073, test_loss: 0.008157091215252876, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 64-th training of 4 digit divide
Run ID: 20190105101916
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105101916/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105101916/
└ epoch: 4592, step: 36744, test_loss: 0.013951643370091915, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 37-th training of 4 digit add
Run ID: 20190105103413
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105103413/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105103413/
└ epoch: 2713, step: 10856, test_loss: 0.03541348874568939, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 56-th training of 4 digit subtract
Run ID: 20190105102736
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105102736/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105102736/
└ epoch: 14450, step: 115608, test_loss: 0.05380502715706825, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 27-th training of 4 digit random
Run ID: 20190105103631
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105103631/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105103631/
└ epoch: 2475, step: 17332, test_loss: 0.008413407951593399, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 65-th training of 4 digit divide
Run ID: 20190105104325
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105104325/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105104325/
└ epoch: 2685, step: 10744, test_loss: 0.030892562121152878, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 57-th training of 4 digit subtract
Run ID: 20190105104451
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105104451/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105104451/
└ epoch: 2471, step: 17304, test_loss: 0.008191808126866817, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 66-th training of 4 digit divide
Run ID: 20190105103115
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105103115/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105103115/
└ epoch: 4455, step: 31192, test_loss: 0.010792924091219902, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 22-th training of 4 digit modulo
Run ID: 20190105101820
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105101820/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105101820/
└ epoch: 5958, step: 47672, test_loss: 0.02043936774134636, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 14-th training of 4 digit multiply
Run ID: 20190105104232
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105104232/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105104232/
└ epoch: 3747, step: 29984, test_loss: 0.023180801421403885, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 38-th training of 4 digit add
Run ID: 20190105105254
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105105254/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105105254/
└ epoch: 2354, step: 16485, test_loss: 0.007498839870095253, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 67-th training of 4 digit divide
Run ID: 20190105104424
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105104424/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105104424/
└ epoch: 14577, step: 116624, test_loss: 0.05264352634549141, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 28-th training of 4 digit random
Run ID: 20190105105210
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105105210/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105105210/
└ epoch: 2903, step: 11616, test_loss: 0.029804177582263947, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 58-th training of 4 digit subtract
Run ID: 20190105110051
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105110051/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105110051/
└ epoch: 2545, step: 17822, test_loss: 0.0071649570018053055, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 68-th training of 4 digit divide
Run ID: 20190105110301
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105110301/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105110301/
└ epoch: 2582, step: 10332, test_loss: 0.030511673539876938, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 59-th training of 4 digit subtract
Run ID: 20190105105849
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105105849/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105105849/
└ epoch: 3789, step: 30320, test_loss: 0.018542923033237457, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 39-th training of 4 digit add
Run ID: 20190105110933
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105110933/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105110933/
└ epoch: 2357, step: 16506, test_loss: 0.008156897500157356, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 69-th training of 4 digit divide
Run ID: 20190105105348
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105105348/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105105348/
└ epoch: 4768, step: 33383, test_loss: 0.011073250323534012, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 23-th training of 4 digit modulo
Run ID: 20190105111123
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105111123/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105111123/
└ epoch: 2715, step: 10864, test_loss: 0.0283034797757864, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 60-th training of 4 digit subtract
Run ID: 20190105111712
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105111712/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105111712/
└ epoch: 2355, step: 16492, test_loss: 0.008955231867730618, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 70-th training of 4 digit divide
Run ID: 20190105110142
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105110142/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105110142/
└ epoch: 21179, step: 169440, test_loss: 0.012034011073410511, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 29-th training of 4 digit random
Run ID: 20190105112017
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105112017/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105112017/
└ epoch: 2497, step: 9992, test_loss: 0.03770125284790993, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 61-th training of 4 digit subtract
Run ID: 20190105111516
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105111516/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105111516/
└ epoch: 3291, step: 26336, test_loss: 0.023352932184934616, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 40-th training of 4 digit add
Run ID: 20190105112506
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105112506/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105112506/
└ epoch: 2646, step: 18529, test_loss: 0.006714454386383295, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 71-th training of 4 digit divide
Run ID: 20190105112759
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105112759/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105112759/
└ epoch: 2624, step: 10500, test_loss: 0.03404554724693298, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 62-th training of 4 digit subtract
Run ID: 20190105105640
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105105640/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105105640/
└ epoch: 6477, step: 51824, test_loss: 0.01266641728579998, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 15-th training of 4 digit multiply
Run ID: 20190105113412
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105113412/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105113412/
└ epoch: 2262, step: 15841, test_loss: 0.009579678066074848, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 72-th training of 4 digit divide
Run ID: 20190105112821
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105112821/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105112821/
└ epoch: 3537, step: 28304, test_loss: 0.02136901021003723, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 41-th training of 4 digit add
Run ID: 20190105112631
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105112631/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105112631/
└ epoch: 15282, step: 122264, test_loss: 0.04093664884567261, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 30-th training of 4 digit random
Run ID: 20190105111928
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105111928/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105111928/
└ epoch: 4733, step: 33138, test_loss: 0.008538533933460712, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 24-th training of 4 digit modulo
Run ID: 20190105113619
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105113619/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105113619/
└ epoch: 3009, step: 12040, test_loss: 0.023021137341856956, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 63-th training of 4 digit subtract
Run ID: 20190105114124
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105114124/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105114124/
└ epoch: 2457, step: 17206, test_loss: 0.008752720430493355, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 73-th training of 4 digit divide
Run ID: 20190105114246
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105114246/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105114246/
└ epoch: 3220, step: 25768, test_loss: 0.019698381423950195, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 42-th training of 4 digit add
Run ID: 20190105114720
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105114720/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105114720/
└ epoch: 2704, step: 10820, test_loss: 0.03392131254076958, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 64-th training of 4 digit subtract
Run ID: 20190105115014
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105115014/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105115014/
└ epoch: 2340, step: 16387, test_loss: 0.007508603390306234, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 74-th training of 4 digit divide
Run ID: 20190105114429
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105114429/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105114429/
└ epoch: 12543, step: 100352, test_loss: 0.06597372889518738, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 31-th training of 4 digit random
Run ID: 20190105115629
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105115629/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105115629/
└ epoch: 2682, step: 10732, test_loss: 0.035573240369558334, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 65-th training of 4 digit subtract
Run ID: 20190105114442
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105114442/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105114442/
└ epoch: 4376, step: 30639, test_loss: 0.01198019739240408, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 25-th training of 4 digit modulo
Run ID: 20190105115751
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105115751/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105115751/
└ epoch: 2566, step: 17969, test_loss: 0.006661320570856333, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 75-th training of 4 digit divide
Run ID: 20190105115539
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105115539/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105115539/
└ epoch: 3245, step: 25968, test_loss: 0.03051646240055561, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 43-th training of 4 digit add
Run ID: 20190105120511
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105120511/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105120511/
└ epoch: 2567, step: 10272, test_loss: 0.032225415110588074, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 66-th training of 4 digit subtract
Run ID: 20190105120632
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105120632/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105120632/
└ epoch: 2399, step: 16800, test_loss: 0.009116506204009056, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 76-th training of 4 digit divide
Run ID: 20190105115925
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105115925/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105115925/
└ epoch: 15489, step: 123920, test_loss: 0.048151567578315735, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 32-th training of 4 digit random
Run ID: 20190105114026
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105114026/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105114026/
└ epoch: 6027, step: 48224, test_loss: 0.021633852273225784, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 16-th training of 4 digit multiply
Run ID: 20190105121339
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105121339/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105121339/
└ epoch: 2443, step: 9776, test_loss: 0.04231133311986923, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 67-th training of 4 digit subtract
Run ID: 20190105121432
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105121432/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105121432/
└ epoch: 2402, step: 16821, test_loss: 0.0071479557082057, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 77-th training of 4 digit divide
Run ID: 20190105120829
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105120829/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105120829/
└ epoch: 4106, step: 32856, test_loss: 0.012953672558069229, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 44-th training of 4 digit add
Run ID: 20190105120612
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105120612/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105120612/
└ epoch: 4561, step: 31934, test_loss: 0.010347222909331322, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 26-th training of 4 digit modulo
Run ID: 20190105122112
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105122112/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105122112/
└ epoch: 2743, step: 10976, test_loss: 0.031094439327716827, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 68-th training of 4 digit subtract
Run ID: 20190105122232
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105122232/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105122232/
└ epoch: 2623, step: 18368, test_loss: 0.006828837562352419, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 78-th training of 4 digit divide
Run ID: 20190105123036
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105123036/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105123036/
└ epoch: 2607, step: 10432, test_loss: 0.03267982602119446, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 69-th training of 4 digit subtract
Run ID: 20190105123144
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105123144/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105123144/
└ epoch: 2506, step: 17549, test_loss: 0.007584699895232916, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 79-th training of 4 digit divide
Run ID: 20190105121737
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105121737/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105121737/
└ epoch: 20043, step: 160352, test_loss: 0.01942283846437931, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 33-th training of 4 digit random
Run ID: 20190105122715
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105122715/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105122715/
└ epoch: 3604, step: 28840, test_loss: 0.025825923308730125, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 45-th training of 4 digit add
Run ID: 20190105124020
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105124020/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105124020/
└ epoch: 2525, step: 17682, test_loss: 0.007975252345204353, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 80-th training of 4 digit divide
Run ID: 20190105123901
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105123901/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105123901/
└ epoch: 2967, step: 11872, test_loss: 0.02590675838291645, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 70-th training of 4 digit subtract
Run ID: 20190105122915
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105122915/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105122915/
└ epoch: 4689, step: 32830, test_loss: 0.008923382498323917, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 27-th training of 4 digit modulo
Run ID: 20190105124847
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105124847/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105124847/
└ epoch: 2266, step: 15869, test_loss: 0.009547770954668522, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 81-th training of 4 digit divide
Run ID: 20190105124238
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105124238/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105124238/
└ epoch: 3471, step: 27776, test_loss: 0.029626941308379173, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 46-th training of 4 digit add
Run ID: 20190105124929
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105124929/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105124929/
└ epoch: 2658, step: 10636, test_loss: 0.03288811072707176, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 71-th training of 4 digit subtract
Run ID: 20190105124128
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105124128/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105124128/
└ epoch: 17145, step: 137168, test_loss: 0.03127359598875046, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 34-th training of 4 digit random
Run ID: 20190105121942
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105121942/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105121942/
└ epoch: 6385, step: 51088, test_loss: 0.020738225430250168, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 17-th training of 4 digit multiply
Run ID: 20190105125555
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105125555/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105125555/
└ epoch: 2352, step: 16471, test_loss: 0.008592989295721054, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 82-th training of 4 digit divide
Run ID: 20190105125817
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105125817/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105125817/
└ epoch: 2469, step: 9880, test_loss: 0.04683031886816025, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 72-th training of 4 digit subtract
Run ID: 20190105125631
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105125631/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105125631/
└ epoch: 2955, step: 23648, test_loss: 0.047608546912670135, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 47-th training of 4 digit add
Run ID: 20190105130334
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105130334/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105130334/
└ epoch: 2461, step: 17234, test_loss: 0.008519909344613552, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 83-th training of 4 digit divide
Run ID: 20190105130611
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105130611/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105130611/
└ epoch: 3040, step: 12164, test_loss: 0.026631616055965424, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 73-th training of 4 digit subtract
Run ID: 20190105125327
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105125327/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105125327/
└ epoch: 4677, step: 32746, test_loss: 0.007094215136021376, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 28-th training of 4 digit modulo
Run ID: 20190105130133
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105130133/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105130133/
└ epoch: 14580, step: 116648, test_loss: 0.041820134967565536, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 35-th training of 4 digit random
Run ID: 20190105131214
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105131214/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105131214/
└ epoch: 2495, step: 17472, test_loss: 0.007085992023348808, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 84-th training of 4 digit divide
Run ID: 20190105130746
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105130746/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105130746/
└ epoch: 3495, step: 27968, test_loss: 0.02144515886902809, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 48-th training of 4 digit add
Run ID: 20190105131703
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105131703/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105131703/
└ epoch: 2271, step: 9088, test_loss: 0.046899858862161636, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 74-th training of 4 digit subtract
Run ID: 20190105132034
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105132034/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105132034/
└ epoch: 2402, step: 16821, test_loss: 0.007415797095745802, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 85-th training of 4 digit divide
Run ID: 20190105132354
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105132354/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105132354/
└ epoch: 2482, step: 9932, test_loss: 0.03668363019824028, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 75-th training of 4 digit subtract
Run ID: 20190105132848
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105132848/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105132848/
└ epoch: 2502, step: 17521, test_loss: 0.00717770354822278, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 86-th training of 4 digit divide
Run ID: 20190105132207
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105132207/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105132207/
└ epoch: 3599, step: 28800, test_loss: 0.02977817691862583, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 49-th training of 4 digit add
Run ID: 20190105131841
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105131841/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105131841/
└ epoch: 16401, step: 131216, test_loss: 0.03790771961212158, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 36-th training of 4 digit random
Run ID: 20190105133132
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105133132/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105133132/
└ epoch: 2843, step: 11376, test_loss: 0.028265899047255516, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 76-th training of 4 digit subtract
Run ID: 20190105131825
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105131825/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105131825/
└ epoch: 4779, step: 33460, test_loss: 0.00915927067399025, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 29-th training of 4 digit modulo
Run ID: 20190105133700
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105133700/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105133700/
└ epoch: 2429, step: 17010, test_loss: 0.008516862988471985, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 87-th training of 4 digit divide
Run ID: 20190105130247
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105130247/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105130247/
└ epoch: 6444, step: 51560, test_loss: 0.018021423369646072, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 18-th training of 4 digit multiply
Run ID: 20190105133702
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105133702/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105133702/
└ epoch: 2994, step: 23960, test_loss: 0.02981491945683956, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 50-th training of 4 digit add
Run ID: 20190105134106
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105134106/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105134106/
└ epoch: 3194, step: 12780, test_loss: 0.024808688089251518, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 77-th training of 4 digit subtract
Run ID: 20190105134511
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105134511/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105134511/
└ epoch: 2416, step: 16919, test_loss: 0.008254573680460453, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 88-th training of 4 digit divide
Run ID: 20190105133806
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105133806/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105133806/
└ epoch: 16717, step: 133744, test_loss: 0.04446650668978691, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 37-th training of 4 digit random
Run ID: 20190105135321
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105135321/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105135321/
└ epoch: 2217, step: 15526, test_loss: 0.009993928484618664, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 89-th training of 4 digit divide
Run ID: 20190105135320
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105135320/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105135320/
└ epoch: 2528, step: 10116, test_loss: 0.02915802039206028, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 78-th training of 4 digit subtract
Run ID: 20190105134336
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105134336/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105134336/
└ epoch: 4302, step: 30121, test_loss: 0.009663620963692665, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 30-th training of 4 digit modulo
Run ID: 20190105134807
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105134807/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105134807/
└ epoch: 3829, step: 30640, test_loss: 0.01834641396999359, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 51-th training of 4 digit add
Run ID: 20190105140019
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105140019/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105140019/
└ epoch: 2339, step: 16380, test_loss: 0.008510728366672993, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 90-th training of 4 digit divide
Run ID: 20190105140121
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105140121/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105140121/
└ epoch: 2759, step: 11040, test_loss: 0.03393145278096199, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 79-th training of 4 digit subtract
Run ID: 20190105135800
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105135800/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105135800/
└ epoch: 13108, step: 104872, test_loss: 0.0653187483549118, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 38-th training of 4 digit random
Run ID: 20190105140804
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105140804/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105140804/
└ epoch: 2332, step: 16331, test_loss: 0.009454482235014439, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 91-th training of 4 digit divide
Run ID: 20190105140503
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105140503/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105140503/
└ epoch: 3328, step: 26632, test_loss: 0.02639114111661911, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 52-th training of 4 digit add
Run ID: 20190105141046
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105141046/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105141046/
└ epoch: 2826, step: 11308, test_loss: 0.0238605085760355, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 80-th training of 4 digit subtract
Run ID: 20190105141540
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105141540/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105141540/
└ epoch: 2388, step: 16723, test_loss: 0.008419211022555828, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 92-th training of 4 digit divide
Run ID: 20190105142016
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105142016/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105142016/
└ epoch: 2563, step: 10256, test_loss: 0.03136665001511574, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 81-th training of 4 digit subtract
Run ID: 20190105140502
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105140502/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105140502/
└ epoch: 4632, step: 32431, test_loss: 0.007387696299701929, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 31-th training of 4 digit modulo
Run ID: 20190105142325
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105142325/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105142325/
└ epoch: 2535, step: 17752, test_loss: 0.007022586185485125, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 93-th training of 4 digit divide
Run ID: 20190105134623
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105134623/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105134623/
└ epoch: 6587, step: 52704, test_loss: 0.015389204025268555, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 19-th training of 4 digit multiply
Run ID: 20190105141804
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105141804/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105141804/
└ epoch: 3475, step: 27808, test_loss: 0.028419315814971924, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 53-th training of 4 digit add
Run ID: 20190105141328
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105141328/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105141328/
└ epoch: 16722, step: 133784, test_loss: 0.021179605275392532, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 39-th training of 4 digit random
Run ID: 20190105142809
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105142809/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105142809/
└ epoch: 2775, step: 11104, test_loss: 0.023303687572479248, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 82-th training of 4 digit subtract
Run ID: 20190105143143
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105143143/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105143143/
└ epoch: 2623, step: 18368, test_loss: 0.007685481570661068, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 94-th training of 4 digit divide
Run ID: 20190105143215
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105143215/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105143215/
└ epoch: 3254, step: 26040, test_loss: 0.036375802010297775, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 54-th training of 4 digit add
Run ID: 20190105143754
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105143754/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105143754/
└ epoch: 2678, step: 10716, test_loss: 0.038861870765686035, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 83-th training of 4 digit subtract
Run ID: 20190105143303
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105143303/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105143303/
└ epoch: 12486, step: 99896, test_loss: 0.07522532343864441, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 40-th training of 4 digit random
Run ID: 20190105144110
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105144110/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105144110/
└ epoch: 2457, step: 17206, test_loss: 0.007233715150505304, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 95-th training of 4 digit divide
Run ID: 20190105144655
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105144655/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105144655/
└ epoch: 2485, step: 9944, test_loss: 0.04207058250904083, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 84-th training of 4 digit subtract
Run ID: 20190105144924
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105144924/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105144924/
└ epoch: 2070, step: 14497, test_loss: 0.011855186894536018, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 96-th training of 4 digit divide
Run ID: 20190105142838
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105142838/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105142838/
└ epoch: 4926, step: 34489, test_loss: 0.008654028177261353, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 32-th training of 4 digit modulo
Run ID: 20190105144523
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105144523/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105144523/
└ epoch: 3086, step: 24696, test_loss: 0.04101276770234108, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 55-th training of 4 digit add
Run ID: 20190105145535
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105145535/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105145535/
└ epoch: 2452, step: 17171, test_loss: 0.009194443002343178, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 97-th training of 4 digit divide
Run ID: 20190105145439
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105145439/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105145439/
└ epoch: 2994, step: 11980, test_loss: 0.02232164889574051, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 85-th training of 4 digit subtract
Run ID: 20190105144758
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105144758/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105144758/
└ epoch: 16590, step: 132728, test_loss: 0.03647218644618988, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 41-th training of 4 digit random
Run ID: 20190105145706
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105145706/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105145706/
└ epoch: 3017, step: 24144, test_loss: 0.030483771115541458, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 56-th training of 4 digit add
Run ID: 20190105150357
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105150357/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105150357/
└ epoch: 2251, step: 15764, test_loss: 0.009751105681061745, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 98-th training of 4 digit divide
Run ID: 20190105143157
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105143157/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105143157/
└ epoch: 6093, step: 48752, test_loss: 0.020742051303386688, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 20-th training of 4 digit multiply
Run ID: 20190105150534
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105150534/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105150534/
└ epoch: 2504, step: 10020, test_loss: 0.03899064660072327, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 86-th training of 4 digit subtract
Run ID: 20190105151112
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105151112/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105151112/
└ epoch: 2252, step: 15771, test_loss: 0.0105593865737319, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 99-th training of 4 digit divide
Run ID: 20190105145539
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105145539/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105145539/
└ epoch: 4706, step: 32949, test_loss: 0.008335644379258156, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 33-th training of 4 digit modulo
Run ID: 20190105150832
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105150832/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105150832/
└ epoch: 3231, step: 25856, test_loss: 0.030713124200701714, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 57-th training of 4 digit add
Run ID: 20190105151332
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105151332/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105151332/
└ epoch: 2996, step: 11988, test_loss: 0.02399454265832901, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 87-th training of 4 digit subtract
Run ID: 20190105150727
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105150727/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105150727/
└ epoch: 15231, step: 121856, test_loss: 0.04648337513208389, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 42-th training of 4 digit random
Run ID: 20190105151830
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105151830/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105151830/
└ epoch: 2270, step: 15897, test_loss: 0.00781796034425497, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 100-th training of 4 digit divide
Run ID: 20190105152120
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105152120/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105152120/
└ epoch: 2973, step: 23792, test_loss: 0.038314640522003174, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 58-th training of 4 digit add
Run ID: 20190105152603
tb_logs/cogsci2019/divide_4bit_mlp_sigmoid_h[64]_run-20190105152603/
saved_models/cogsci2019/divide_4bit_mlp_sigmoid_h[64]/run-20190105152603/
└ epoch: 2438, step: 17073, test_loss: 0.00787174142897129, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
Run ID: 20190105152420
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105152420/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105152420/
└ epoch: 3092, step: 12372, test_loss: 0.02291571907699108, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 88-th training of 4 digit subtract
Run ID: 20190105152029
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105152029/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105152029/
└ epoch: 4571, step: 32004, test_loss: 0.010533081367611885, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 34-th training of 4 digit modulo
Run ID: 20190105152535
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105152535/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105152535/
└ epoch: 14630, step: 117048, test_loss: 0.05302358791232109, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 43-th training of 4 digit random
Run ID: 20190105153511
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105153511/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105153511/
└ epoch: 2649, step: 10600, test_loss: 0.0346851721405983, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 89-th training of 4 digit subtract
Run ID: 20190105151156
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105151156/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105151156/
└ epoch: 5817, step: 46544, test_loss: 0.023845486342906952, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 21-th training of 4 digit multiply
Run ID: 20190105153210
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105153210/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105153210/
└ epoch: 3789, step: 30320, test_loss: 0.02302025817334652, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 59-th training of 4 digit add
Run ID: 20190105154207
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105154207/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105154207/
└ epoch: 3108, step: 12436, test_loss: 0.024793196469545364, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 90-th training of 4 digit subtract
Run ID: 20190105154559
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105154559/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105154559/
└ epoch: 3023, step: 24192, test_loss: 0.0347965769469738, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 60-th training of 4 digit add
Run ID: 20190105154146
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105154146/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105154146/
└ epoch: 15555, step: 124448, test_loss: 0.05208202451467514, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 44-th training of 4 digit random
Run ID: 20190105154134
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105154134/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105154134/
└ epoch: 4659, step: 32620, test_loss: 0.007900873199105263, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 35-th training of 4 digit modulo
Run ID: 20190105155135
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105155135/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105155135/
└ epoch: 3380, step: 13524, test_loss: 0.015772487968206406, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 91-th training of 4 digit subtract
Run ID: 20190105155528
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105155528/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105155528/
└ epoch: 3511, step: 28096, test_loss: 0.022333232685923576, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 61-th training of 4 digit add
Run ID: 20190105160159
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105160159/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105160159/
└ epoch: 3123, step: 12496, test_loss: 0.020536549389362335, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 92-th training of 4 digit subtract
Run ID: 20190105155811
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105155811/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105155811/
└ epoch: 14384, step: 115080, test_loss: 0.051815617829561234, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 45-th training of 4 digit random
Run ID: 20190105154501
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105154501/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105154501/
└ epoch: 5938, step: 47512, test_loss: 0.018988633528351784, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 22-th training of 4 digit multiply
Run ID: 20190105160722
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105160722/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105160722/
└ epoch: 2915, step: 23328, test_loss: 0.046120643615722656, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 62-th training of 4 digit add
Run ID: 20190105161125
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105161125/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105161125/
└ epoch: 2428, step: 9716, test_loss: 0.04642896354198456, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 93-th training of 4 digit subtract
Run ID: 20190105160145
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105160145/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105160145/
└ epoch: 4663, step: 32648, test_loss: 0.007815126329660416, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 36-th training of 4 digit modulo
Run ID: 20190105161736
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105161736/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105161736/
└ epoch: 2442, step: 9772, test_loss: 0.040131546556949615, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 94-th training of 4 digit subtract
Run ID: 20190105161308
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105161308/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105161308/
└ epoch: 13690, step: 109528, test_loss: 0.05463867634534836, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 46-th training of 4 digit random
Run ID: 20190105161606
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105161606/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105161606/
└ epoch: 3775, step: 30208, test_loss: 0.0249038003385067, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 63-th training of 4 digit add
Run ID: 20190105162352
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105162352/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105162352/
└ epoch: 2924, step: 11700, test_loss: 0.02428443543612957, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 95-th training of 4 digit subtract
Run ID: 20190105163215
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105163215/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105163215/
└ epoch: 2729, step: 10920, test_loss: 0.033452004194259644, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 96-th training of 4 digit subtract
Run ID: 20190105161539
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105161539/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105161539/
└ epoch: 5408, step: 43272, test_loss: 0.028091100975871086, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 23-th training of 4 digit multiply
Run ID: 20190105162736
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105162736/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105162736/
└ epoch: 13517, step: 108144, test_loss: 0.06282375752925873, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 47-th training of 4 digit random
Run ID: 20190105162948
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105162948/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105162948/
└ epoch: 3769, step: 30160, test_loss: 0.02739528752863407, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 64-th training of 4 digit add
Run ID: 20190105162131
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105162131/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105162131/
└ epoch: 4936, step: 34559, test_loss: 0.007343600038439035, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 37-th training of 4 digit modulo
Run ID: 20190105163931
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105163931/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105163931/
└ epoch: 2512, step: 10052, test_loss: 0.03902699425816536, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 97-th training of 4 digit subtract
Run ID: 20190105164250
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105164250/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105164250/
└ epoch: 3298, step: 26392, test_loss: 0.026788152754306793, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 65-th training of 4 digit add
Run ID: 20190105164617
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105164617/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105164617/
└ epoch: 3069, step: 12280, test_loss: 0.025797178968787193, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 98-th training of 4 digit subtract
Run ID: 20190105164134
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105164134/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105164134/
└ epoch: 13761, step: 110096, test_loss: 0.050614602863788605, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 48-th training of 4 digit random
Run ID: 20190105164341
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105164341/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105164341/
└ epoch: 4448, step: 31143, test_loss: 0.012255034409463406, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 38-th training of 4 digit modulo
Run ID: 20190105165513
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105165513/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105165513/
└ epoch: 2660, step: 10644, test_loss: 0.030642425641417503, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 99-th training of 4 digit subtract
Run ID: 20190105165355
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105165355/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105165355/
└ epoch: 3058, step: 24472, test_loss: 0.03109760582447052, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 66-th training of 4 digit add
Run ID: 20190105170221
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105170221/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105170221/
└ epoch: 2755, step: 11024, test_loss: 0.02682781219482422, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 100-th training of 4 digit subtract
Run ID: 20190105165613
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105165613/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105165613/
└ epoch: 14904, step: 119240, test_loss: 0.038873329758644104, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 49-th training of 4 digit random
Run ID: 20190105170323
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105170323/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105170323/
└ epoch: 3852, step: 30824, test_loss: 0.015330650843679905, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 67-th training of 4 digit add
Run ID: 20190105171001
tb_logs/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]_run-20190105171001/
saved_models/cogsci2019/subtract_4bit_mlp_sigmoid_h[64]/run-20190105171001/
└ epoch: 3025, step: 12104, test_loss: 0.024542495608329773, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
Run ID: 20190105170156
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105170156/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105170156/
└ epoch: 4287, step: 30016, test_loss: 0.013640856370329857, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 39-th training of 4 digit modulo
Run ID: 20190105164117
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105164117/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105164117/
└ epoch: 6881, step: 55056, test_loss: 0.011956712231040001, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 24-th training of 4 digit multiply
Run ID: 20190105171701
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105171701/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105171701/
└ epoch: 3717, step: 29744, test_loss: 0.021288134157657623, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 68-th training of 4 digit add
Run ID: 20190105171149
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105171149/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105171149/
└ epoch: 17900, step: 143208, test_loss: 0.02440536953508854, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 50-th training of 4 digit random
Run ID: 20190105171836
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105171836/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105171836/
└ epoch: 5311, step: 37184, test_loss: 0.00601715175434947, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 40-th training of 4 digit modulo
Run ID: 20190105172800
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105172800/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105172800/
└ epoch: 3835, step: 30688, test_loss: 0.02015995979309082, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 69-th training of 4 digit add
Run ID: 20190105172904
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105172904/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105172904/
└ epoch: 16189, step: 129520, test_loss: 0.046987757086753845, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 51-th training of 4 digit random
Run ID: 20190105173859
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105173859/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105173859/
└ epoch: 3407, step: 27264, test_loss: 0.02826700359582901, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 70-th training of 4 digit add
Run ID: 20190105172012
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105172012/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105172012/
└ epoch: 6793, step: 54352, test_loss: 0.011427368968725204, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 25-th training of 4 digit multiply
Run ID: 20190105173752
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105173752/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105173752/
└ epoch: 4357, step: 30506, test_loss: 0.010968176648020744, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 41-th training of 4 digit modulo
Run ID: 20190105174803
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105174803/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105174803/
└ epoch: 3006, step: 24056, test_loss: 0.04311549663543701, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 71-th training of 4 digit add
Run ID: 20190105174346
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105174346/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105174346/
└ epoch: 15435, step: 123488, test_loss: 0.03684896603226662, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 52-th training of 4 digit random
Run ID: 20190105175536
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105175536/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105175536/
└ epoch: 3670, step: 29368, test_loss: 0.027044452726840973, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 72-th training of 4 digit add
Run ID: 20190105175146
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105175146/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105175146/
└ epoch: 4880, step: 34167, test_loss: 0.009599247016012669, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 42-th training of 4 digit modulo
Run ID: 20190105175801
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105175801/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105175801/
└ epoch: 12442, step: 99544, test_loss: 0.06822752952575684, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 53-th training of 4 digit random
Run ID: 20190105180546
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105180546/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105180546/
└ epoch: 2840, step: 22728, test_loss: 0.036553751677274704, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 73-th training of 4 digit add
Run ID: 20190105181245
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105181245/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105181245/
└ epoch: 3116, step: 24936, test_loss: 0.02833671309053898, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 74-th training of 4 digit add
Run ID: 20190105175000
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105175000/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105175000/
└ epoch: 7075, step: 56608, test_loss: 0.010779080912470818, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 26-th training of 4 digit multiply
Run ID: 20190105180921
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105180921/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105180921/
└ epoch: 17747, step: 141984, test_loss: 0.023493682965636253, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 54-th training of 4 digit random
Run ID: 20190105180840
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105180840/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105180840/
└ epoch: 4954, step: 34685, test_loss: 0.0075804488733410835, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 43-th training of 4 digit modulo
Run ID: 20190105182039
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105182039/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105182039/
└ epoch: 3597, step: 28784, test_loss: 0.015458482317626476, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 75-th training of 4 digit add
Run ID: 20190105182541
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105182541/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105182541/
└ epoch: 17126, step: 137016, test_loss: 0.029475878924131393, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 55-th training of 4 digit random
Run ID: 20190105183039
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105183039/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105183039/
└ epoch: 4027, step: 32224, test_loss: 0.014336736872792244, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 76-th training of 4 digit add
Run ID: 20190105182142
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105182142/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105182142/
└ epoch: 5426, step: 43416, test_loss: 0.02231825888156891, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 27-th training of 4 digit multiply
Run ID: 20190105182558
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105182558/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105182558/
└ epoch: 4875, step: 34132, test_loss: 0.010362263768911362, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 44-th training of 4 digit modulo
Run ID: 20190105184227
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105184227/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105184227/
└ epoch: 3244, step: 25960, test_loss: 0.023337021470069885, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 77-th training of 4 digit add
Run ID: 20190105184117
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105184117/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105184117/
└ epoch: 13997, step: 111984, test_loss: 0.06208723783493042, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 56-th training of 4 digit random
Run ID: 20190105185100
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105185100/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105185100/
└ epoch: 2411, step: 19296, test_loss: 0.048694077879190445, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 78-th training of 4 digit add
Run ID: 20190105184241
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105184241/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105184241/
└ epoch: 4415, step: 30912, test_loss: 0.008985253982245922, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 45-th training of 4 digit modulo
Run ID: 20190105185622
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105185622/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105185622/
└ epoch: 2858, step: 22872, test_loss: 0.04244400933384895, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 79-th training of 4 digit add
Run ID: 20190105184238
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105184238/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105184238/
└ epoch: 5791, step: 46336, test_loss: 0.02190827764570713, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 28-th training of 4 digit multiply
Run ID: 20190105185419
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105185419/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105185419/
└ epoch: 15736, step: 125896, test_loss: 0.04641343280673027, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 57-th training of 4 digit random
Run ID: 20190105185707
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105185707/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105185707/
└ epoch: 4537, step: 31766, test_loss: 0.009267284534871578, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 46-th training of 4 digit modulo
Run ID: 20190105190321
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105190321/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105190321/
└ epoch: 3663, step: 29312, test_loss: 0.021549377590417862, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 80-th training of 4 digit add
Run ID: 20190105191339
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105191339/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105191339/
└ epoch: 3087, step: 24704, test_loss: 0.03286756947636604, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 81-th training of 4 digit add
Run ID: 20190105190857
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105190857/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105190857/
└ epoch: 14408, step: 115272, test_loss: 0.05988369882106781, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 58-th training of 4 digit random
Run ID: 20190105191203
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105191203/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105191203/
└ epoch: 4699, step: 32900, test_loss: 0.008698936551809311, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 47-th training of 4 digit modulo
Run ID: 20190105190534
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105190534/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105190534/
└ epoch: 5986, step: 47896, test_loss: 0.01956476829946041, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 29-th training of 4 digit multiply
Run ID: 20190105192127
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105192127/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105192127/
└ epoch: 3421, step: 27376, test_loss: 0.02660563960671425, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 82-th training of 4 digit add
Run ID: 20190105192215
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105192215/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105192215/
└ epoch: 15395, step: 123168, test_loss: 0.05893147736787796, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 59-th training of 4 digit random
Run ID: 20190105193033
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105193033/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105193033/
└ epoch: 3012, step: 24104, test_loss: 0.047947727143764496, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 83-th training of 4 digit add
Run ID: 20190105192752
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105192752/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105192752/
└ epoch: 4785, step: 33502, test_loss: 0.008567748591303825, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 48-th training of 4 digit modulo
Run ID: 20190105193813
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105193813/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105193813/
└ epoch: 3547, step: 28384, test_loss: 0.021182354539632797, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 84-th training of 4 digit add
Run ID: 20190105193626
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105193626/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105193626/
└ epoch: 17660, step: 141288, test_loss: 0.02318006567656994, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 60-th training of 4 digit random
Run ID: 20190105192943
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105192943/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105192943/
└ epoch: 6696, step: 53576, test_loss: 0.012243065983057022, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 30-th training of 4 digit multiply
Run ID: 20190105194806
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105194806/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105194806/
└ epoch: 3804, step: 30440, test_loss: 0.02333850786089897, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 85-th training of 4 digit add
Run ID: 20190105194405
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105194405/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105194405/
└ epoch: 4832, step: 33831, test_loss: 0.008243571035563946, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 49-th training of 4 digit modulo
Run ID: 20190105195234
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105195234/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105195234/
└ epoch: 15481, step: 123856, test_loss: 0.04440176114439964, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 61-th training of 4 digit random
Run ID: 20190105195855
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105195855/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105195855/
└ epoch: 3342, step: 26744, test_loss: 0.034851670265197754, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 86-th training of 4 digit add
Run ID: 20190105200029
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105200029/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105200029/
└ epoch: 4652, step: 32571, test_loss: 0.009467309340834618, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 50-th training of 4 digit modulo
Run ID: 20190105200757
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105200757/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105200757/
└ epoch: 3327, step: 26624, test_loss: 0.02875235490500927, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 87-th training of 4 digit add
Run ID: 20190105200649
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105200649/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105200649/
└ epoch: 14635, step: 117088, test_loss: 0.05571763962507248, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 62-th training of 4 digit random
Run ID: 20190105195836
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105195836/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105195836/
└ epoch: 6365, step: 50928, test_loss: 0.01752549782395363, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 31-th training of 4 digit multiply
Run ID: 20190105201641
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105201641/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105201641/
└ epoch: 4254, step: 34040, test_loss: 0.019381480291485786, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 88-th training of 4 digit add
Run ID: 20190105201616
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105201616/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105201616/
└ epoch: 4503, step: 31528, test_loss: 0.009115365333855152, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 51-th training of 4 digit modulo
Run ID: 20190105202013
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105202013/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105202013/
└ epoch: 14824, step: 118600, test_loss: 0.052736543118953705, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 63-th training of 4 digit random
Run ID: 20190105202947
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105202947/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105202947/
└ epoch: 2606, step: 20856, test_loss: 0.047934722155332565, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 89-th training of 4 digit add
Run ID: 20190105203551
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105203551/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105203551/
└ epoch: 3070, step: 24568, test_loss: 0.034917451441287994, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 90-th training of 4 digit add
Run ID: 20190105203057
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105203057/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105203057/
└ epoch: 4928, step: 34503, test_loss: 0.006876225583255291, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 52-th training of 4 digit modulo
Run ID: 20190105203351
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105203351/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105203351/
└ epoch: 15756, step: 126056, test_loss: 0.04056376591324806, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 64-th training of 4 digit random
Run ID: 20190105202526
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105202526/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105202526/
└ epoch: 6320, step: 50568, test_loss: 0.016031011939048767, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 32-th training of 4 digit multiply
Run ID: 20190105204336
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105204336/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105204336/
└ epoch: 4012, step: 32104, test_loss: 0.020274685695767403, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 91-th training of 4 digit add
Run ID: 20190105204801
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105204801/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105204801/
└ epoch: 4410, step: 30877, test_loss: 0.011096269823610783, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 53-th training of 4 digit modulo
Run ID: 20190105205522
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105205522/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105205522/
└ epoch: 3234, step: 25880, test_loss: 0.0275698434561491, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 92-th training of 4 digit add
Run ID: 20190105204812
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105204812/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105204812/
└ epoch: 19285, step: 154288, test_loss: 0.01691758632659912, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 65-th training of 4 digit random
Run ID: 20190105210348
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105210348/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105210348/
└ epoch: 3489, step: 27920, test_loss: 0.022000093013048172, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 93-th training of 4 digit add
Run ID: 20190105205200
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105205200/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105205200/
└ epoch: 5799, step: 46400, test_loss: 0.020854756236076355, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 33-th training of 4 digit multiply
Run ID: 20190105210227
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105210227/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105210227/
└ epoch: 4694, step: 32865, test_loss: 0.008966072462499142, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 54-th training of 4 digit modulo
Run ID: 20190105211321
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105211321/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105211321/
└ epoch: 2790, step: 22328, test_loss: 0.03812902420759201, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 94-th training of 4 digit add
Run ID: 20190105210608
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105210608/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105210608/
└ epoch: 15856, step: 126856, test_loss: 0.03643966093659401, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 66-th training of 4 digit random
Run ID: 20190105212006
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105212006/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105212006/
└ epoch: 4034, step: 32280, test_loss: 0.018209438771009445, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 95-th training of 4 digit add
Run ID: 20190105211818
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105211818/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105211818/
└ epoch: 4798, step: 33593, test_loss: 0.008347520604729652, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 55-th training of 4 digit modulo
Run ID: 20190105212039
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105212039/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105212039/
└ epoch: 16978, step: 135832, test_loss: 0.03994479402899742, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 67-th training of 4 digit random
Run ID: 20190105213201
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105213201/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105213201/
└ epoch: 3359, step: 26880, test_loss: 0.023635560646653175, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 96-th training of 4 digit add
Run ID: 20190105211445
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105211445/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105211445/
└ epoch: 6810, step: 54488, test_loss: 0.01621496118605137, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 34-th training of 4 digit multiply
Run ID: 20190105213559
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105213559/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105213559/
└ epoch: 13870, step: 110968, test_loss: 0.05109984427690506, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 68-th training of 4 digit random
Run ID: 20190105213513
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105213513/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105213513/
└ epoch: 4454, step: 31185, test_loss: 0.012281203642487526, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 56-th training of 4 digit modulo
Run ID: 20190105214059
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105214059/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105214059/
└ epoch: 3322, step: 26584, test_loss: 0.031244542449712753, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 97-th training of 4 digit add
Run ID: 20190105214955
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105214955/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105214955/
└ epoch: 3069, step: 24560, test_loss: 0.031694527715444565, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 98-th training of 4 digit add
Run ID: 20190105214842
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105214842/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105214842/
└ epoch: 15292, step: 122344, test_loss: 0.04270761087536812, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 69-th training of 4 digit random
Run ID: 20190105214438
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105214438/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105214438/
└ epoch: 5363, step: 42912, test_loss: 0.029146911576390266, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 35-th training of 4 digit multiply
Run ID: 20190105214947
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105214947/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105214947/
└ epoch: 4842, step: 33901, test_loss: 0.006411375477910042, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 57-th training of 4 digit modulo
Run ID: 20190105215744
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105215744/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105215744/
└ epoch: 3497, step: 27984, test_loss: 0.01858988031744957, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 99-th training of 4 digit add
Run ID: 20190105220714
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105220714/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105220714/
└ epoch: 2965, step: 23728, test_loss: 0.02556694485247135, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 100-th training of 4 digit add
Run ID: 20190105220630
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105220630/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105220630/
└ epoch: 4029, step: 28210, test_loss: 0.01550369057804346, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 58-th training of 4 digit modulo
Run ID: 20190105220250
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105220250/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105220250/
└ epoch: 17427, step: 139424, test_loss: 0.029636269435286522, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 70-th training of 4 digit random
Run ID: 20190105221443
tb_logs/cogsci2019/add_4bit_mlp_sigmoid_h[64]_run-20190105221443/
saved_models/cogsci2019/add_4bit_mlp_sigmoid_h[64]/run-20190105221443/
└ epoch: 2820, step: 22568, test_loss: 0.034250300377607346, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
Run ID: 20190105220500
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105220500/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105220500/
└ epoch: 5513, step: 44112, test_loss: 0.02571909688413143, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 36-th training of 4 digit multiply
Run ID: 20190105221857
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105221857/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105221857/
└ epoch: 12964, step: 103720, test_loss: 0.07065926492214203, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 71-th training of 4 digit random
Run ID: 20190105221846
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105221846/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105221846/
└ epoch: 4317, step: 30226, test_loss: 0.011663883924484253, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 59-th training of 4 digit modulo
Run ID: 20190105222940
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105222940/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105222940/
└ epoch: 15179, step: 121440, test_loss: 0.0501163974404335, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 72-th training of 4 digit random
Run ID: 20190105223107
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105223107/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105223107/
└ epoch: 4358, step: 30513, test_loss: 0.011370396241545677, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 60-th training of 4 digit modulo
Run ID: 20190105222544
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105222544/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105222544/
└ epoch: 6183, step: 49472, test_loss: 0.015733541920781136, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 37-th training of 4 digit multiply
Run ID: 20190105224144
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105224144/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105224144/
└ epoch: 13868, step: 110952, test_loss: 0.04848521575331688, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 73-th training of 4 digit random
Run ID: 20190105224332
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105224332/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105224332/
└ epoch: 4853, step: 33978, test_loss: 0.006630637217313051, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 61-th training of 4 digit modulo
Run ID: 20190105225250
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105225250/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105225250/
└ epoch: 15310, step: 122488, test_loss: 0.04882192239165306, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 74-th training of 4 digit random
Run ID: 20190105225800
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105225800/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105225800/
└ epoch: 4352, step: 30471, test_loss: 0.010075789876282215, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 62-th training of 4 digit modulo
Run ID: 20190105224828
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105224828/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105224828/
└ epoch: 6175, step: 49408, test_loss: 0.018177766352891922, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 38-th training of 4 digit multiply
Run ID: 20190105230504
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105230504/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105230504/
└ epoch: 14726, step: 117816, test_loss: 0.04942653328180313, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 75-th training of 4 digit random
Run ID: 20190105231008
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105231008/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105231008/
└ epoch: 4399, step: 30800, test_loss: 0.011335753835737705, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 63-th training of 4 digit modulo
Run ID: 20190105231647
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105231647/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105231647/
└ epoch: 18529, step: 148240, test_loss: 0.021802868694067, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 76-th training of 4 digit random
Run ID: 20190105231058
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105231058/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105231058/
└ epoch: 6356, step: 50856, test_loss: 0.023713983595371246, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 39-th training of 4 digit multiply
Run ID: 20190105232237
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105232237/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105232237/
└ epoch: 4505, step: 31542, test_loss: 0.011025731451809406, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 64-th training of 4 digit modulo
Run ID: 20190105233130
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105233130/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105233130/
└ epoch: 14604, step: 116840, test_loss: 0.0489736869931221, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 77-th training of 4 digit random
Run ID: 20190105233538
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105233538/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105233538/
└ epoch: 4582, step: 32081, test_loss: 0.009720356203615665, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 65-th training of 4 digit modulo
Run ID: 20190105233426
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105233426/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105233426/
└ epoch: 5526, step: 44216, test_loss: 0.025377444922924042, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 40-th training of 4 digit multiply
Run ID: 20190105234312
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105234312/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105234312/
└ epoch: 17418, step: 139352, test_loss: 0.03613346815109253, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 78-th training of 4 digit random
Run ID: 20190105234855
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190105234855/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190105234855/
└ epoch: 4856, step: 33999, test_loss: 0.007264819461852312, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 66-th training of 4 digit modulo
Run ID: 20190105235705
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190105235705/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190105235705/
└ epoch: 21967, step: 175744, test_loss: 0.012278796173632145, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 79-th training of 4 digit random
Run ID: 20190106000332
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106000332/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106000332/
└ epoch: 4144, step: 29015, test_loss: 0.012766928412020206, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 67-th training of 4 digit modulo
Run ID: 20190105235248
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190105235248/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190105235248/
└ epoch: 6251, step: 50016, test_loss: 0.014884975738823414, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 41-th training of 4 digit multiply
Run ID: 20190106001425
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106001425/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106001425/
└ epoch: 13991, step: 111936, test_loss: 0.056518856436014175, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 80-th training of 4 digit random
Run ID: 20190106001452
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106001452/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106001452/
└ epoch: 4377, step: 30646, test_loss: 0.009262715466320515, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 68-th training of 4 digit modulo
Run ID: 20190106001601
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106001601/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106001601/
└ epoch: 5723, step: 45792, test_loss: 0.021871032193303108, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 42-th training of 4 digit multiply
Run ID: 20190106002547
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106002547/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106002547/
└ epoch: 14235, step: 113888, test_loss: 0.04430709034204483, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 81-th training of 4 digit random
Run ID: 20190106002716
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106002716/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106002716/
└ epoch: 4823, step: 33768, test_loss: 0.00812852568924427, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 69-th training of 4 digit modulo
Run ID: 20190106003710
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106003710/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106003710/
└ epoch: 12888, step: 103112, test_loss: 0.06281932443380356, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 82-th training of 4 digit random
Run ID: 20190106003612
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106003612/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106003612/
└ epoch: 5945, step: 47568, test_loss: 0.023854948580265045, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 43-th training of 4 digit multiply
Run ID: 20190106004146
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106004146/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106004146/
└ epoch: 5148, step: 36043, test_loss: 0.008368315175175667, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 70-th training of 4 digit modulo
Run ID: 20190106004737
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106004737/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106004737/
└ epoch: 17619, step: 140960, test_loss: 0.03177182376384735, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 83-th training of 4 digit random
Run ID: 20190106005744
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106005744/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106005744/
└ epoch: 4494, step: 31465, test_loss: 0.010329078882932663, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 71-th training of 4 digit modulo
Run ID: 20190106010138
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106010138/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106010138/
└ epoch: 14325, step: 114608, test_loss: 0.043235812336206436, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 84-th training of 4 digit random
Run ID: 20190106005738
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106005738/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106005738/
└ epoch: 6031, step: 48256, test_loss: 0.025416236370801926, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 44-th training of 4 digit multiply
Run ID: 20190106011045
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106011045/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106011045/
└ epoch: 4530, step: 31717, test_loss: 0.010970125906169415, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 72-th training of 4 digit modulo
Run ID: 20190106011308
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106011308/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106011308/
└ epoch: 18349, step: 146800, test_loss: 0.033797089010477066, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 85-th training of 4 digit random
Run ID: 20190106012344
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106012344/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106012344/
└ epoch: 4435, step: 31052, test_loss: 0.011914580129086971, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 73-th training of 4 digit modulo
Run ID: 20190106011926
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106011926/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106011926/
└ epoch: 5680, step: 45448, test_loss: 0.025794805958867073, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 45-th training of 4 digit multiply
Run ID: 20190106012754
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106012754/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106012754/
└ epoch: 15230, step: 121848, test_loss: 0.03897232562303543, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 86-th training of 4 digit random
Run ID: 20190106013617
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106013617/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106013617/
└ epoch: 4462, step: 31241, test_loss: 0.010509161278605461, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 74-th training of 4 digit modulo
Run ID: 20190106014000
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106014000/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106014000/
└ epoch: 14680, step: 117448, test_loss: 0.05190956965088844, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 87-th training of 4 digit random
Run ID: 20190106013902
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106013902/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106013902/
└ epoch: 5794, step: 46360, test_loss: 0.021636495366692543, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 46-th training of 4 digit multiply
Run ID: 20190106015150
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106015150/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106015150/
└ epoch: 13194, step: 105560, test_loss: 0.05972771346569061, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 88-th training of 4 digit random
Run ID: 20190106014908
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106014908/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106014908/
└ epoch: 5039, step: 35280, test_loss: 0.00835382379591465, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 75-th training of 4 digit modulo
Run ID: 20190106020221
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106020221/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106020221/
└ epoch: 16272, step: 130184, test_loss: 0.0388190858066082, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 89-th training of 4 digit random
Run ID: 20190106015923
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106015923/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106015923/
└ epoch: 5231, step: 41856, test_loss: 0.030564408749341965, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 47-th training of 4 digit multiply
Run ID: 20190106020448
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106020448/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106020448/
└ epoch: 4819, step: 33740, test_loss: 0.007076571229845285, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 76-th training of 4 digit modulo
Run ID: 20190106021532
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106021532/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106021532/
└ epoch: 19056, step: 152456, test_loss: 0.0196221936494112, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 90-th training of 4 digit random
Run ID: 20190106021913
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106021913/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106021913/
└ epoch: 4835, step: 33852, test_loss: 0.007977763190865517, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 77-th training of 4 digit modulo
Run ID: 20190106023056
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106023056/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106023056/
└ epoch: 13813, step: 110512, test_loss: 0.061216507107019424, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 91-th training of 4 digit random
Run ID: 20190106021623
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106021623/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106021623/
└ epoch: 6723, step: 53792, test_loss: 0.014745548367500305, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 48-th training of 4 digit multiply
Run ID: 20190106023335
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106023335/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106023335/
└ epoch: 4879, step: 34160, test_loss: 0.00872749462723732, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 78-th training of 4 digit modulo
Run ID: 20190106024153
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106024153/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106024153/
└ epoch: 14639, step: 117120, test_loss: 0.05585706606507301, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 92-th training of 4 digit random
Run ID: 20190106024232
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106024232/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106024232/
└ epoch: 5486, step: 43896, test_loss: 0.024912390857934952, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 49-th training of 4 digit multiply
Run ID: 20190106024811
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106024811/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106024811/
└ epoch: 4654, step: 32585, test_loss: 0.00669702235609293, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 79-th training of 4 digit modulo
Run ID: 20190106025346
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106025346/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106025346/
└ epoch: 16255, step: 130048, test_loss: 0.04219675064086914, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 93-th training of 4 digit random
Run ID: 20190106030150
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106030150/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106030150/
└ epoch: 4535, step: 31752, test_loss: 0.009201663546264172, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 80-th training of 4 digit modulo
Run ID: 20190106030652
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106030652/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106030652/
└ epoch: 12365, step: 98928, test_loss: 0.0690620020031929, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 94-th training of 4 digit random
Run ID: 20190106030115
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106030115/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106030115/
└ epoch: 6196, step: 49576, test_loss: 0.01619909331202507, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 50-th training of 4 digit multiply
Run ID: 20190106031452
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106031452/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106031452/
└ epoch: 4518, step: 31633, test_loss: 0.00889250822365284, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 81-th training of 4 digit modulo
Run ID: 20190106031641
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106031641/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106031641/
└ epoch: 15691, step: 125536, test_loss: 0.047060444951057434, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 95-th training of 4 digit random
Run ID: 20190106032757
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106032757/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106032757/
└ epoch: 4697, step: 32886, test_loss: 0.010519725270569324, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 82-th training of 4 digit modulo
Run ID: 20190106032914
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106032914/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106032914/
└ epoch: 16505, step: 132048, test_loss: 0.038339026272296906, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 96-th training of 4 digit random
Run ID: 20190106032411
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106032411/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106032411/
└ epoch: 6127, step: 49024, test_loss: 0.018410664051771164, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 51-th training of 4 digit multiply
Run ID: 20190106034147
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106034147/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106034147/
└ epoch: 4593, step: 32158, test_loss: 0.008133034221827984, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 83-th training of 4 digit modulo
Run ID: 20190106034232
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106034232/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106034232/
└ epoch: 18758, step: 150072, test_loss: 0.02271500788629055, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 97-th training of 4 digit random
Run ID: 20190106034635
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106034635/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106034635/
└ epoch: 5979, step: 47840, test_loss: 0.022625239565968513, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 52-th training of 4 digit multiply
Run ID: 20190106035512
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106035512/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106035512/
└ epoch: 4565, step: 31962, test_loss: 0.010733989998698235, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 84-th training of 4 digit modulo
Run ID: 20190106035740
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106035740/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106035740/
└ epoch: 15762, step: 126104, test_loss: 0.04056214541196823, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 98-th training of 4 digit random
Run ID: 20190106041017
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106041017/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106041017/
└ epoch: 16299, step: 130400, test_loss: 0.043970923870801926, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 99-th training of 4 digit random
Run ID: 20190106040819
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106040819/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106040819/
└ epoch: 4928, step: 34503, test_loss: 0.0060401479713618755, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 85-th training of 4 digit modulo
Run ID: 20190106040812
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106040812/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106040812/
└ epoch: 5806, step: 46456, test_loss: 0.02238605171442032, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 53-th training of 4 digit multiply
Run ID: 20190106042318
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106042318/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106042318/
└ epoch: 14963, step: 119712, test_loss: 0.04130442440509796, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 100-th training of 4 digit random
Run ID: 20190106042327
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106042327/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106042327/
└ epoch: 4368, step: 30583, test_loss: 0.011208748444914818, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 86-th training of 4 digit modulo
Run ID: 20190106042827
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106042827/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106042827/
└ epoch: 5545, step: 44368, test_loss: 0.02440342865884304, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 54-th training of 4 digit multiply
Run ID: 20190106043528
tb_logs/cogsci2019/random_4bit_mlp_sigmoid_h[64]_run-20190106043528/
saved_models/cogsci2019/random_4bit_mlp_sigmoid_h[64]/run-20190106043528/
└ epoch: 17523, step: 140192, test_loss: 0.02740190178155899, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
Run ID: 20190106043555
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106043555/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106043555/
└ epoch: 4870, step: 34097, test_loss: 0.007266123313456774, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 87-th training of 4 digit modulo
Run ID: 20190106045022
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106045022/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106045022/
└ epoch: 4889, step: 34230, test_loss: 0.009679584763944149, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 88-th training of 4 digit modulo
Run ID: 20190106044719
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106044719/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106044719/
└ epoch: 6159, step: 49280, test_loss: 0.01922583393752575, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 55-th training of 4 digit multiply
Run ID: 20190106050353
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106050353/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106050353/
└ epoch: 4434, step: 31045, test_loss: 0.010433357208967209, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 89-th training of 4 digit modulo
Run ID: 20190106051512
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106051512/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106051512/
└ epoch: 4668, step: 32683, test_loss: 0.010527637787163258, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 90-th training of 4 digit modulo
Run ID: 20190106050759
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106050759/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106050759/
└ epoch: 6642, step: 53144, test_loss: 0.013783806934952736, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 56-th training of 4 digit multiply
Run ID: 20190106052745
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106052745/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106052745/
└ epoch: 4596, step: 32179, test_loss: 0.010776589624583721, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 91-th training of 4 digit modulo
Run ID: 20190106053100
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106053100/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106053100/
└ epoch: 5317, step: 42544, test_loss: 0.025812063366174698, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 57-th training of 4 digit multiply
Run ID: 20190106053939
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106053939/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106053939/
└ epoch: 5163, step: 36148, test_loss: 0.006610549986362457, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 92-th training of 4 digit modulo
Run ID: 20190106054703
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106054703/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106054703/
└ epoch: 6272, step: 50184, test_loss: 0.014166691340506077, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 58-th training of 4 digit multiply
Run ID: 20190106055418
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106055418/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106055418/
└ epoch: 5528, step: 38703, test_loss: 0.005091611761599779, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 93-th training of 4 digit modulo
Run ID: 20190106061036
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106061036/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106061036/
└ epoch: 4710, step: 32977, test_loss: 0.008263478986918926, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 94-th training of 4 digit modulo
Run ID: 20190106060750
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106060750/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106060750/
└ epoch: 6679, step: 53440, test_loss: 0.013560045510530472, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 59-th training of 4 digit multiply
Run ID: 20190106062255
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106062255/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106062255/
└ epoch: 4579, step: 32060, test_loss: 0.009375248104333878, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 95-th training of 4 digit modulo
Run ID: 20190106063501
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106063501/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106063501/
└ epoch: 4467, step: 31276, test_loss: 0.010578113608062267, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 96-th training of 4 digit modulo
Run ID: 20190106063111
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106063111/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106063111/
└ epoch: 6057, step: 48464, test_loss: 0.015550181269645691, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 60-th training of 4 digit multiply
Run ID: 20190106064621
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106064621/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106064621/
└ epoch: 4553, step: 31878, test_loss: 0.008289693854749203, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 97-th training of 4 digit modulo
Run ID: 20190106065819
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106065819/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106065819/
└ epoch: 4840, step: 33887, test_loss: 0.007853436283767223, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 98-th training of 4 digit modulo
Run ID: 20190106065056
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106065056/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106065056/
└ epoch: 6150, step: 49208, test_loss: 0.022469937801361084, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 61-th training of 4 digit multiply
Run ID: 20190106071117
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106071117/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106071117/
└ epoch: 4237, step: 29666, test_loss: 0.012037579901516438, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 99-th training of 4 digit modulo
Run ID: 20190106071127
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106071127/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106071127/
└ epoch: 5760, step: 46088, test_loss: 0.022825142368674278, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 62-th training of 4 digit multiply
Run ID: 20190106072152
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106072152/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106072152/
└ epoch: 4806, step: 33649, test_loss: 0.007918628863990307, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 100-th training of 4 digit modulo
Run ID: 20190106073446
tb_logs/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]_run-20190106073446/
saved_models/cogsci2019/modulo_4bit_mlp_sigmoid_h[64]/run-20190106073446/
└ epoch: 4576, step: 32039, test_loss: 0.008747066371142864, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
Run ID: 20190106072938
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106072938/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106072938/
└ epoch: 5973, step: 47792, test_loss: 0.0217189509421587, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 63-th training of 4 digit multiply
Run ID: 20190106074857
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106074857/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106074857/
└ epoch: 6289, step: 50320, test_loss: 0.018673941493034363, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 64-th training of 4 digit multiply
Run ID: 20190106080813
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106080813/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106080813/
└ epoch: 6791, step: 54336, test_loss: 0.013242125511169434, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 65-th training of 4 digit multiply
Run ID: 20190106083008
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106083008/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106083008/
└ epoch: 6073, step: 48592, test_loss: 0.022864267230033875, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 66-th training of 4 digit multiply
Run ID: 20190106084815
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106084815/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106084815/
└ epoch: 6293, step: 50352, test_loss: 0.016550667583942413, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 67-th training of 4 digit multiply
Run ID: 20190106090746
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106090746/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106090746/
└ epoch: 5896, step: 47176, test_loss: 0.02586698904633522, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 68-th training of 4 digit multiply
Run ID: 20190106092515
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106092515/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106092515/
└ epoch: 5863, step: 46912, test_loss: 0.022600140422582626, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 69-th training of 4 digit multiply
Run ID: 20190106094234
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106094234/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106094234/
└ epoch: 6033, step: 48272, test_loss: 0.023019276559352875, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 70-th training of 4 digit multiply
Run ID: 20190106100024
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106100024/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106100024/
└ epoch: 6201, step: 49616, test_loss: 0.016605693846940994, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 71-th training of 4 digit multiply
Run ID: 20190106101919
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106101919/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106101919/
└ epoch: 6589, step: 52720, test_loss: 0.013415898196399212, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 72-th training of 4 digit multiply
Run ID: 20190106104007
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106104007/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106104007/
└ epoch: 6695, step: 53568, test_loss: 0.012089218012988567, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 73-th training of 4 digit multiply
Run ID: 20190106110213
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106110213/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106110213/
└ epoch: 5968, step: 47752, test_loss: 0.020453885197639465, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 74-th training of 4 digit multiply
Run ID: 20190106111944
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106111944/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106111944/
└ epoch: 6723, step: 53792, test_loss: 0.016041383147239685, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 75-th training of 4 digit multiply
Run ID: 20190106114144
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106114144/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106114144/
└ epoch: 5812, step: 46504, test_loss: 0.020857367664575577, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 76-th training of 4 digit multiply
Run ID: 20190106115826
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106115826/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106115826/
└ epoch: 6426, step: 51416, test_loss: 0.013664254918694496, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 77-th training of 4 digit multiply
Run ID: 20190106121828
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106121828/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106121828/
└ epoch: 5850, step: 46808, test_loss: 0.018574964255094528, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 78-th training of 4 digit multiply
Run ID: 20190106123543
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106123543/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106123543/
└ epoch: 6204, step: 49640, test_loss: 0.017160747200250626, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 79-th training of 4 digit multiply
Run ID: 20190106125451
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106125451/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106125451/
└ epoch: 6574, step: 52600, test_loss: 0.01741138845682144, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 80-th training of 4 digit multiply
Run ID: 20190106131632
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106131632/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106131632/
└ epoch: 5616, step: 44936, test_loss: 0.02393173985183239, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 81-th training of 4 digit multiply
Run ID: 20190106133240
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106133240/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106133240/
└ epoch: 5952, step: 47624, test_loss: 0.01737711951136589, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 82-th training of 4 digit multiply
Run ID: 20190106135017
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106135017/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106135017/
└ epoch: 6236, step: 49896, test_loss: 0.018029838800430298, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 83-th training of 4 digit multiply
Run ID: 20190106140913
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106140913/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106140913/
└ epoch: 7323, step: 58592, test_loss: 0.010670503601431847, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 84-th training of 4 digit multiply
Run ID: 20190106143424
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106143424/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106143424/
└ epoch: 6504, step: 52040, test_loss: 0.01520472764968872, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 85-th training of 4 digit multiply
Run ID: 20190106145457
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106145457/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106145457/
└ epoch: 6052, step: 48424, test_loss: 0.021896667778491974, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 86-th training of 4 digit multiply
Run ID: 20190106151251
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106151251/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106151251/
└ epoch: 6650, step: 53208, test_loss: 0.015793966129422188, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 87-th training of 4 digit multiply
Run ID: 20190106153415
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106153415/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106153415/
└ epoch: 5866, step: 46936, test_loss: 0.01687498576939106, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 88-th training of 4 digit multiply
Run ID: 20190106155130
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106155130/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106155130/
└ epoch: 6448, step: 51592, test_loss: 0.022829558700323105, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 89-th training of 4 digit multiply
Run ID: 20190106161136
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106161136/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106161136/
└ epoch: 5452, step: 43624, test_loss: 0.02180151641368866, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 90-th training of 4 digit multiply
Run ID: 20190106162639
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106162639/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106162639/
└ epoch: 5657, step: 45264, test_loss: 0.017889035865664482, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 91-th training of 4 digit multiply
Run ID: 20190106164241
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106164241/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106164241/
└ epoch: 6047, step: 48384, test_loss: 0.0200287327170372, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 92-th training of 4 digit multiply
Run ID: 20190106170049
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106170049/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106170049/
└ epoch: 5899, step: 47200, test_loss: 0.021968835964798927, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 93-th training of 4 digit multiply
Run ID: 20190106171817
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106171817/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106171817/
└ epoch: 6374, step: 51000, test_loss: 0.01712409034371376, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 94-th training of 4 digit multiply
Run ID: 20190106173809
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106173809/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106173809/
└ epoch: 6308, step: 50472, test_loss: 0.0129938879981637, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 95-th training of 4 digit multiply
Run ID: 20190106175747
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106175747/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106175747/
└ epoch: 5854, step: 46840, test_loss: 0.025362275540828705, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 96-th training of 4 digit multiply
Run ID: 20190106181506
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106181506/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106181506/
└ epoch: 6331, step: 50656, test_loss: 0.016137780621647835, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 97-th training of 4 digit multiply
Run ID: 20190106183507
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106183507/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106183507/
└ epoch: 6232, step: 49864, test_loss: 0.018769599497318268, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 98-th training of 4 digit multiply
Run ID: 20190106185427
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106185427/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106185427/
└ epoch: 6729, step: 53840, test_loss: 0.015971174463629723, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 99-th training of 4 digit multiply
Run ID: 20190106191624
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106191624/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106191624/
└ epoch: 5957, step: 47664, test_loss: 0.021969810128211975, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.
===================================================================
Run the 100-th training of 4 digit multiply
Run ID: 20190106193409
tb_logs/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]_run-20190106193409/
saved_models/cogsci2019/multiply_4bit_mlp_sigmoid_h[64]/run-20190106193409/
└ epoch: 6180, step: 49448, test_loss: 0.017747391015291214, test_accuracy: 1.0, op_wrong: 0
Model saved.
The training is over.