Namespace(batch=128, dataset='CIFAR10', epochs=50, k=2, lr=0.05, net='MyLeNetMatStochNoceil', postfix='__k2_3', res_folder='res/benchmark_NoCeil/', resume=False, scheduler='cosine', stoch=False, warmup_ep=5, warmup_mul=0)
==> Preparing data..
==> Building model..
==> Training model..
---------

Epoch: 0
Acc : 25.55 / 22.22
Loss : 1.98 / 1.94
Time: 48.120111235417426
---------

Epoch: 5
Acc : 49.35 / 35.96
Loss : 1.40 / 1.68
Time: 288.35652240365744
---------

Epoch: 10
Acc : 55.80 / 36.23
Loss : 1.25 / 1.73
Time: 528.6361616123468
---------

Epoch: 15
Acc : 60.81 / 40.07
Loss : 1.11 / 1.62
Time: 769.0124968513846
---------

Epoch: 20
Acc : 62.94 / 41.54
Loss : 1.05 / 1.64
Time: 1009.3565639145672
---------

Epoch: 25
Acc : 65.76 / 40.07
Loss : 0.97 / 1.59
Time: 1249.6207106374204
---------

Epoch: 30
Acc : 68.49 / 41.41
Loss : 0.89 / 1.68
Time: 1489.9397344766185
---------

Epoch: 35
Acc : 71.38 / 44.63
Loss : 0.81 / 1.55
Time: 1730.3411526689306
---------

Epoch: 40
Acc : 72.98 / 43.74
Loss : 0.77 / 1.64
Time: 1970.7049634410068
---------

Epoch: 45
Acc : 74.14 / 44.63
Loss : 0.74 / 1.59
Time: 2211.1649585356936
---------
Best Acc : 45.64
Training time (min): 40.060455758000415
Log :" res/benchmark_NoCeil/log/MyLeNetMatStochNoceil-50epochs__k2_3.json " saved !
Plot :" res/benchmark_NoCeil/MyLeNetMatStochNoceil-50epochs__k2_3 " saved !

real	40m16.163s
user	55m29.844s
sys	13m1.891s