Namespace(batch=128, dataset='CIFAR10', epochs=50, k=4, lr=0.05, net='MyLeNetMatStochNoceil', postfix='__k4_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 : 24.25 / 27.11
Loss : 2.01 / 1.89
Time: 138.53814427461475
---------

Epoch: 5
Acc : 48.78 / 28.38
Loss : 1.41 / 1.92
Time: 831.1760958814994
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Epoch: 10
Acc : 55.77 / 35.29
Loss : 1.24 / 1.85
Time: 1524.006879854016
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Epoch: 15
Acc : 60.26 / 34.95
Loss : 1.12 / 1.77
Time: 2216.9549421677366
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Epoch: 20
Acc : 63.12 / 37.17
Loss : 1.04 / 1.74
Time: 2910.0242391834036
---------

Epoch: 25
Acc : 66.15 / 40.66
Loss : 0.95 / 1.67
Time: 3602.922821316868
---------

Epoch: 30
Acc : 68.97 / 43.07
Loss : 0.89 / 1.63
Time: 4295.794840999879
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Epoch: 35
Acc : 71.39 / 43.45
Loss : 0.81 / 1.66
Time: 4988.862918260507
---------

Epoch: 40
Acc : 73.23 / 45.10
Loss : 0.76 / 1.61
Time: 5682.054097885266
---------

Epoch: 45
Acc : 74.62 / 44.73
Loss : 0.73 / 1.64
Time: 6375.051586847752
---------
Best Acc : 48.23
Training time (min): 115.4906927387075
Log :" res/benchmark_NoCeil/log/MyLeNetMatStochNoceil-50epochs__k4_1.json " saved !
Plot :" res/benchmark_NoCeil/MyLeNetMatStochNoceil-50epochs__k4_1 " saved !

real	115m43.858s
user	105m46.985s
sys	37m41.831s