Namespace(batch=128, dataset='CIFAR10', epochs=50, k=4, lr=0.05, net='MyLeNetMatStochBUNoceil', 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..
---------

Epoch: 0
Acc : 22.37 / 26.51
Loss : 2.07 / 1.96
Time: 108.77128831204027
---------

Epoch: 5
Acc : 40.45 / 37.46
Loss : 1.63 / 1.71
Time: 650.9957964411005
---------

Epoch: 10
Acc : 46.97 / 42.16
Loss : 1.46 / 1.63
Time: 1196.1481666192412
---------

Epoch: 15
Acc : 50.84 / 40.25
Loss : 1.37 / 1.64
Time: 1738.2220820374787
---------

Epoch: 20
Acc : 54.10 / 40.06
Loss : 1.28 / 1.63
Time: 2281.5323149422184
---------

Epoch: 25
Acc : 56.00 / 38.17
Loss : 1.23 / 1.71
Time: 2825.1198084335774
---------

Epoch: 30
Acc : 58.56 / 41.46
Loss : 1.16 / 1.54
Time: 3369.311863881536
---------

Epoch: 35
Acc : 61.36 / 41.71
Loss : 1.09 / 1.60
Time: 3912.360254479572
---------

Epoch: 40
Acc : 63.18 / 45.78
Loss : 1.04 / 1.53
Time: 4456.764227654785
---------

Epoch: 45
Acc : 63.95 / 43.66
Loss : 1.02 / 1.67
Time: 4999.635746097192
---------
Best Acc : 45.90
Training time (min): 90.55816794208562
Log :" res/benchmark_NoCeil/log/MyLeNetMatStochBUNoceil-50epochs__k4_1.json " saved !
Plot :" res/benchmark_NoCeil/MyLeNetMatStochBUNoceil-50epochs__k4_1 " saved !

real	90m46.566s
user	91m1.517s
sys	28m30.486s