Namespace(batch=128, dataset='CIFAR10', epochs=50, k=4, lr=0.05, net='MyLeNetMatNormalNoceil', postfix='__k4_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 : 37.25 / 46.81
Loss : 1.71 / 1.45
Time: 412.9022887162864
---------

Epoch: 5
Acc : 72.74 / 72.93
Loss : 0.79 / 0.79
Time: 2478.4713746113703
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Epoch: 10
Acc : 80.47 / 78.57
Loss : 0.56 / 0.63
Time: 4544.841249100864
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Epoch: 15
Acc : 84.95 / 80.01
Loss : 0.43 / 0.59
Time: 6611.430219493806
---------

Epoch: 20
Acc : 88.65 / 81.20
Loss : 0.33 / 0.55
Time: 8678.567663419992
---------

Epoch: 25
Acc : 91.80 / 82.36
Loss : 0.25 / 0.52
Time: 10747.367348232307
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Epoch: 30
Acc : 94.57 / 82.16
Loss : 0.18 / 0.56
Time: 12816.555869823322
---------

Epoch: 35
Acc : 97.08 / 83.29
Loss : 0.11 / 0.54
Time: 14885.712881685235
---------

Epoch: 40
Acc : 98.70 / 84.38
Loss : 0.07 / 0.51
Time: 16954.642080742866
---------

Epoch: 45
Acc : 99.55 / 84.41
Loss : 0.05 / 0.52
Time: 19023.663426892832
---------
Best Acc : 84.63
Training time (min): 344.65982003790947
Log :" res/benchmark_NoCeil/log/MyLeNetMatNormalNoceil-50epochs__k4_3.json " saved !
Plot :" res/benchmark_NoCeil/MyLeNetMatNormalNoceil-50epochs__k4_3 " saved !

real	344m54.291s
user	251m47.869s
sys	119m40.516s