Namespace(batch=128, dataset='CIFAR10', epochs=50, k=4, lr=0.05, net='MyLeNetMatStochBUNoceil', postfix='__k4_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 : 22.48 / 27.01
Loss : 2.08 / 1.90
Time: 108.83058886602521
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Epoch: 5
Acc : 40.69 / 34.36
Loss : 1.63 / 1.72
Time: 652.1599301332608
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Epoch: 10
Acc : 46.78 / 39.97
Loss : 1.47 / 1.61
Time: 1195.5011438680813
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Epoch: 15
Acc : 50.49 / 34.57
Loss : 1.37 / 1.80
Time: 1737.6985349021852
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Epoch: 20
Acc : 53.32 / 39.84
Loss : 1.30 / 1.62
Time: 2280.7298378217965
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Epoch: 25
Acc : 56.46 / 40.06
Loss : 1.22 / 1.60
Time: 2822.9770746883005
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Epoch: 30
Acc : 59.26 / 40.83
Loss : 1.14 / 1.60
Time: 3365.840932168998
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Epoch: 35
Acc : 60.35 / 41.57
Loss : 1.11 / 1.60
Time: 3910.3378865057603
---------

Epoch: 40
Acc : 63.47 / 45.50
Loss : 1.03 / 1.51
Time: 4454.4913957370445
---------

Epoch: 45
Acc : 63.91 / 42.31
Loss : 1.02 / 1.67
Time: 4998.679032381624
---------
Best Acc : 47.46
Training time (min): 90.5504788563742
Log :" res/benchmark_NoCeil/log/MyLeNetMatStochBUNoceil-50epochs__k4_2.json " saved !
Plot :" res/benchmark_NoCeil/MyLeNetMatStochBUNoceil-50epochs__k4_2 " saved !

real	90m46.666s
user	90m46.955s
sys	27m20.062s