Namespace(batch=128, dataset='CIFAR10', epochs=50, k=2, lr=0.05, net='MyLeNetMatStochNoceil', postfix='__k2_2', 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 : 25.09 / 28.73
Loss : 1.99 / 1.90
Time: 48.0987977925688
---------

Epoch: 5
Acc : 49.20 / 26.62
Loss : 1.40 / 1.83
Time: 288.2156368214637
---------

Epoch: 10
Acc : 55.36 / 35.66
Loss : 1.24 / 1.78
Time: 528.4270763546228
---------

Epoch: 15
Acc : 60.04 / 38.56
Loss : 1.12 / 1.69
Time: 768.740109086968
---------

Epoch: 20
Acc : 62.17 / 36.83
Loss : 1.06 / 1.72
Time: 1008.971360463649
---------

Epoch: 25
Acc : 66.36 / 39.98
Loss : 0.95 / 1.54
Time: 1249.2037892034277
---------

Epoch: 30
Acc : 68.35 / 42.86
Loss : 0.90 / 1.60
Time: 1489.428648560308
---------

Epoch: 35
Acc : 70.29 / 40.06
Loss : 0.84 / 1.69
Time: 1729.7566568944603
---------

Epoch: 40
Acc : 72.70 / 41.93
Loss : 0.78 / 1.69
Time: 1970.0739753739908
---------

Epoch: 45
Acc : 74.19 / 43.76
Loss : 0.74 / 1.63
Time: 2210.493873266503
---------
Best Acc : 47.52
Training time (min): 40.04782316264075
Log :" res/benchmark_NoCeil/log/MyLeNetMatStochNoceil-50epochs__k2_2.json " saved !
Plot :" res/benchmark_NoCeil/MyLeNetMatStochNoceil-50epochs__k2_2 " saved !

real	40m15.453s
user	55m3.384s
sys	12m52.035s