Namespace(batch=128, dataset='CIFAR10', epochs=50, k=4, lr=0.05, net='MyLeNetMatStochBUNoceil', 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 : 22.84 / 23.02
Loss : 2.06 / 2.02
Time: 109.14865664206445
---------

Epoch: 5
Acc : 41.31 / 34.38
Loss : 1.61 / 1.74
Time: 651.8169922940433
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Epoch: 10
Acc : 47.19 / 34.92
Loss : 1.46 / 1.75
Time: 1196.2202987512574
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Epoch: 15
Acc : 51.14 / 40.63
Loss : 1.35 / 1.61
Time: 1740.0807679975405
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Epoch: 20
Acc : 53.28 / 37.40
Loss : 1.30 / 1.66
Time: 2285.094068882987
---------

Epoch: 25
Acc : 56.24 / 44.48
Loss : 1.22 / 1.50
Time: 2828.706437432207
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Epoch: 30
Acc : 58.89 / 46.33
Loss : 1.15 / 1.50
Time: 3372.260067921132
---------

Epoch: 35
Acc : 61.42 / 43.65
Loss : 1.09 / 1.54
Time: 3917.1703928979114
---------

Epoch: 40
Acc : 63.16 / 45.52
Loss : 1.04 / 1.52
Time: 4460.238603447564
---------

Epoch: 45
Acc : 63.59 / 44.41
Loss : 1.03 / 1.61
Time: 5004.6891468744725
---------
Best Acc : 46.61
Training time (min): 90.65389749701134
Log :" res/benchmark_NoCeil/log/MyLeNetMatStochBUNoceil-50epochs__k4_3.json " saved !
Plot :" res/benchmark_NoCeil/MyLeNetMatStochBUNoceil-50epochs__k4_3 " saved !

real	90m54.391s
user	89m26.614s
sys	28m46.091s