Namespace(batch=128, dataset='CIFAR10', epochs=50, k=2, lr=0.05, net='MyLeNetMatStochBUNoceil', postfix='__k2_2', 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 : 22.17 / 31.05
Loss : 2.06 / 1.81
Time: 43.00148150417954
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Epoch: 5
Acc : 40.88 / 36.09
Loss : 1.61 / 1.71
Time: 257.9188695559278
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Epoch: 10
Acc : 46.77 / 41.97
Loss : 1.47 / 1.64
Time: 473.44908204767853
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Epoch: 15
Acc : 49.94 / 40.83
Loss : 1.39 / 1.63
Time: 688.832499277778
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Epoch: 20
Acc : 53.27 / 39.07
Loss : 1.30 / 1.57
Time: 903.5729479668662
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Epoch: 25
Acc : 56.13 / 38.69
Loss : 1.23 / 1.69
Time: 1118.620039199479
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Epoch: 30
Acc : 58.55 / 43.83
Loss : 1.16 / 1.56
Time: 1333.6320593841374
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Epoch: 35
Acc : 60.22 / 42.94
Loss : 1.11 / 1.55
Time: 1548.2262184657156
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Epoch: 40
Acc : 62.57 / 46.98
Loss : 1.05 / 1.49
Time: 1763.601978128776
---------

Epoch: 45
Acc : 63.72 / 45.46
Loss : 1.03 / 1.55
Time: 1978.3571852482855
---------
Best Acc : 47.21
Training time (min): 35.84222391460401
Log :" res/benchmark_NoCeil/log/MyLeNetMatStochBUNoceil-50epochs__k2_2.json " saved !
Plot :" res/benchmark_NoCeil/MyLeNetMatStochBUNoceil-50epochs__k2_2 " saved !

real	36m2.860s
user	51m48.891s
sys	9m59.159s