Namespace(batch=128, dataset='CIFAR10', epochs=50, k=2, lr=0.05, net='MyLeNetMatStochBUNoceil', postfix='__k2_1', res_folder='res/benchmark_NoCeil/', resume=False, scheduler='cosine', stoch=False, warmup_ep=5, warmup_mul=0)
==> Preparing data..
==> Building model..
==> Training model..
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Epoch: 0
Acc : 23.02 / 28.97
Loss : 2.04 / 1.88
Time: 42.91845454927534
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Epoch: 5
Acc : 40.13 / 31.49
Loss : 1.63 / 1.85
Time: 257.2308983253315
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Epoch: 10
Acc : 47.02 / 41.68
Loss : 1.46 / 1.60
Time: 472.04093196988106
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Epoch: 15
Acc : 50.61 / 39.56
Loss : 1.37 / 1.65
Time: 686.8101648585871
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Epoch: 20
Acc : 53.33 / 38.19
Loss : 1.30 / 1.61
Time: 901.7532791886479
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Epoch: 25
Acc : 55.35 / 37.57
Loss : 1.24 / 1.67
Time: 1115.9920925060287
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Epoch: 30
Acc : 58.07 / 40.61
Loss : 1.17 / 1.58
Time: 1330.7566032465547
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Epoch: 35
Acc : 60.48 / 42.13
Loss : 1.11 / 1.58
Time: 1545.4550960762426
---------

Epoch: 40
Acc : 62.28 / 41.08
Loss : 1.06 / 1.68
Time: 1760.2057344606146
---------

Epoch: 45
Acc : 63.52 / 43.85
Loss : 1.02 / 1.59
Time: 1975.1974748587236
---------
Best Acc : 46.05
Training time (min): 35.78298388926002
Log :" res/benchmark_NoCeil/log/MyLeNetMatStochBUNoceil-50epochs__k2_1.json " saved !
Plot :" res/benchmark_NoCeil/MyLeNetMatStochBUNoceil-50epochs__k2_1 " saved !

real	35m59.647s
user	52m30.243s
sys	10m6.934s