Namespace(batch=128, dataset='CIFAR10', epochs=50, k=3, lr=0.05, net='MyLeNetMatNormalNoceil', 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..
---------

Epoch: 0
Acc : 36.95 / 45.98
Loss : 1.72 / 1.51
Time: 247.98328754398972
---------

Epoch: 5
Acc : 71.70 / 72.71
Loss : 0.81 / 0.78
Time: 1488.6181818954647
---------

Epoch: 10
Acc : 80.03 / 75.58
Loss : 0.57 / 0.72
Time: 2729.465384825133
---------

Epoch: 15
Acc : 84.79 / 80.80
Loss : 0.44 / 0.57
Time: 3970.437553227879
---------

Epoch: 20
Acc : 88.45 / 81.73
Loss : 0.34 / 0.54
Time: 5211.3001955430955
---------

Epoch: 25
Acc : 91.57 / 82.44
Loss : 0.26 / 0.53
Time: 6452.203316219151
---------

Epoch: 30
Acc : 94.42 / 83.35
Loss : 0.18 / 0.51
Time: 7693.365694181062
---------

Epoch: 35
Acc : 96.76 / 83.32
Loss : 0.12 / 0.53
Time: 8934.607322337106
---------

Epoch: 40
Acc : 98.65 / 84.05
Loss : 0.07 / 0.52
Time: 10175.596159897745
---------

Epoch: 45
Acc : 99.41 / 84.61
Loss : 0.05 / 0.52
Time: 11416.773865584284
---------
Best Acc : 84.74
Training time (min): 206.82600436269615
Log :" res/benchmark_NoCeil/log/MyLeNetMatNormalNoceil-50epochs__k3_3.json " saved !
Plot :" res/benchmark_NoCeil/MyLeNetMatNormalNoceil-50epochs__k3_3 " saved !

real	207m3.639s
user	164m26.994s
sys	70m29.354s