Namespace(batch=128, dataset='CIFAR10', epochs=50, k=2, lr=0.05, net='MyLeNetMatStochBUNoceil', postfix='__k2_3', 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 : 23.07 / 27.72
Loss : 2.04 / 1.89
Time: 43.24283229280263
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Epoch: 5
Acc : 40.82 / 34.26
Loss : 1.62 / 1.78
Time: 260.49624280724674
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Epoch: 10
Acc : 46.79 / 32.58
Loss : 1.47 / 1.81
Time: 476.04811190254986
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Epoch: 15
Acc : 49.99 / 35.99
Loss : 1.39 / 1.74
Time: 692.3408845262602
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Epoch: 20
Acc : 53.41 / 35.56
Loss : 1.30 / 1.71
Time: 908.646314191632
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Epoch: 25
Acc : 55.78 / 40.94
Loss : 1.23 / 1.63
Time: 1123.2973771356046
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Epoch: 30
Acc : 58.41 / 44.97
Loss : 1.16 / 1.52
Time: 1339.4196774363518
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Epoch: 35
Acc : 60.69 / 43.89
Loss : 1.10 / 1.55
Time: 1554.9195355875418
---------

Epoch: 40
Acc : 62.63 / 46.52
Loss : 1.05 / 1.48
Time: 1770.575025911443
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Epoch: 45
Acc : 63.64 / 44.60
Loss : 1.03 / 1.56
Time: 1986.1898049293086
---------
Best Acc : 46.52
Training time (min): 35.97862558372629
Log :" res/benchmark_NoCeil/log/MyLeNetMatStochBUNoceil-50epochs__k2_3.json " saved !
Plot :" res/benchmark_NoCeil/MyLeNetMatStochBUNoceil-50epochs__k2_3 " saved !

real	36m11.005s
user	53m35.069s
sys	9m56.397s