Namespace(batch=128, dataset='CIFAR10', epochs=50, k=2, lr=0.05, net='MyLeNetMatNormalNoceil', 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 : 36.12 / 45.47
Loss : 1.72 / 1.50
Time: 123.19412856083363
---------

Epoch: 5
Acc : 71.71 / 68.77
Loss : 0.81 / 0.91
Time: 739.1145824743435
---------

Epoch: 10
Acc : 79.86 / 77.88
Loss : 0.58 / 0.64
Time: 1355.644656511955
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Epoch: 15
Acc : 84.55 / 77.81
Loss : 0.45 / 0.64
Time: 1971.8144962312654
---------

Epoch: 20
Acc : 87.95 / 81.82
Loss : 0.35 / 0.54
Time: 2587.859218424186
---------

Epoch: 25
Acc : 91.09 / 80.44
Loss : 0.26 / 0.57
Time: 3204.394698444754
---------

Epoch: 30
Acc : 93.85 / 82.45
Loss : 0.19 / 0.54
Time: 3820.647819074802
---------

Epoch: 35
Acc : 96.26 / 83.40
Loss : 0.13 / 0.51
Time: 4437.080120751634
---------

Epoch: 40
Acc : 98.12 / 85.19
Loss : 0.09 / 0.49
Time: 5053.203467056155
---------

Epoch: 45
Acc : 99.15 / 84.79
Loss : 0.06 / 0.50
Time: 5669.440995325334
---------
Best Acc : 85.19
Training time (min): 102.70833032748972
Log :" res/benchmark_NoCeil/log/MyLeNetMatNormalNoceil-50epochs__k2_3.json " saved !
Plot :" res/benchmark_NoCeil/MyLeNetMatNormalNoceil-50epochs__k2_3 " saved !

real	102m58.647s
user	99m45.063s
sys	32m18.510s