Namespace(batch=128, dataset='CIFAR10', epochs=50, k=3, lr=0.05, net='MyLeNetMatStochBUNoceil', postfix='__k3_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 : 22.43 / 31.52
Loss : 2.07 / 1.80
Time: 73.24458603095263
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Epoch: 5
Acc : 40.97 / 37.28
Loss : 1.61 / 1.74
Time: 439.50911753159016
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Epoch: 10
Acc : 46.77 / 45.71
Loss : 1.47 / 1.57
Time: 805.9838715335354
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Epoch: 15
Acc : 51.05 / 37.82
Loss : 1.36 / 1.66
Time: 1172.2754459958524
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Epoch: 20
Acc : 53.40 / 37.39
Loss : 1.29 / 1.69
Time: 1538.9271471500397
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Epoch: 25
Acc : 56.16 / 47.24
Loss : 1.22 / 1.48
Time: 1904.104914849624
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Epoch: 30
Acc : 58.15 / 40.97
Loss : 1.17 / 1.67
Time: 2269.141853663139
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Epoch: 35
Acc : 61.22 / 42.66
Loss : 1.09 / 1.60
Time: 2635.261180281639
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Epoch: 40
Acc : 63.04 / 43.25
Loss : 1.04 / 1.60
Time: 3000.9633819106966
---------

Epoch: 45
Acc : 63.74 / 44.18
Loss : 1.02 / 1.63
Time: 3366.7220483692363
---------
Best Acc : 47.24
Training time (min): 60.98429485363886
Log :" res/benchmark_NoCeil/log/MyLeNetMatStochBUNoceil-50epochs__k3_1.json " saved !
Plot :" res/benchmark_NoCeil/MyLeNetMatStochBUNoceil-50epochs__k3_1 " saved !

real	61m11.687s
user	70m18.044s
sys	18m52.141s