Namespace(batch=128, dataset='CIFAR10', epochs=50, k=3, lr=0.05, net='MyLeNetMatStochBUNoceil', postfix='__k3_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 : 22.60 / 30.29
Loss : 2.07 / 1.83
Time: 73.45093404874206
---------

Epoch: 5
Acc : 41.07 / 36.65
Loss : 1.62 / 1.71
Time: 438.5278573250398
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Epoch: 10
Acc : 46.55 / 39.90
Loss : 1.48 / 1.61
Time: 804.3547679651529
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Epoch: 15
Acc : 50.45 / 38.47
Loss : 1.37 / 1.60
Time: 1169.9524947265163
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Epoch: 20
Acc : 54.17 / 39.78
Loss : 1.28 / 1.64
Time: 1535.7289634384215
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Epoch: 25
Acc : 56.16 / 42.75
Loss : 1.23 / 1.57
Time: 1901.3407105300575
---------

Epoch: 30
Acc : 58.65 / 46.69
Loss : 1.16 / 1.47
Time: 2266.849103649147
---------

Epoch: 35
Acc : 60.92 / 42.35
Loss : 1.10 / 1.66
Time: 2632.664029543288
---------

Epoch: 40
Acc : 63.07 / 41.75
Loss : 1.05 / 1.66
Time: 2998.279637400992
---------

Epoch: 45
Acc : 64.36 / 44.86
Loss : 1.01 / 1.58
Time: 3364.5860096393153
---------
Best Acc : 48.28
Training time (min): 60.951772359386084
Log :" res/benchmark_NoCeil/log/MyLeNetMatStochBUNoceil-50epochs__k3_3.json " saved !
Plot :" res/benchmark_NoCeil/MyLeNetMatStochBUNoceil-50epochs__k3_3 " saved !

real	61m10.551s
user	70m16.339s
sys	18m43.649s