Namespace(batch=128, dataset='CIFAR10', epochs=50, k=1, lr=0.05, net='MyLeNetMatNormalNoceil', postfix='__k1_3', 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 : 36.32 / 46.57
Loss : 1.71 / 1.47
Time: 45.96672709006816
---------

Epoch: 5
Acc : 70.95 / 70.58
Loss : 0.83 / 0.86
Time: 275.3688823627308
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Epoch: 10
Acc : 79.10 / 74.53
Loss : 0.60 / 0.74
Time: 504.9038645885885
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Epoch: 15
Acc : 83.93 / 80.50
Loss : 0.46 / 0.57
Time: 734.5577887063846
---------

Epoch: 20
Acc : 87.32 / 80.67
Loss : 0.37 / 0.55
Time: 964.6286195870489
---------

Epoch: 25
Acc : 90.39 / 82.75
Loss : 0.29 / 0.50
Time: 1194.849686741829
---------

Epoch: 30
Acc : 93.07 / 82.63
Loss : 0.22 / 0.51
Time: 1426.0590728316456
---------

Epoch: 35
Acc : 95.51 / 82.89
Loss : 0.15 / 0.52
Time: 1657.5508981496096
---------

Epoch: 40
Acc : 97.45 / 84.48
Loss : 0.11 / 0.49
Time: 1887.298833809793
---------

Epoch: 45
Acc : 98.55 / 84.93
Loss : 0.08 / 0.49
Time: 2116.886452781968
---------
Best Acc : 85.09
Training time (min): 38.34314283429024
Log :" res/benchmark_NoCeil/log/MyLeNetMatNormalNoceil-50epochs__k1_3.json " saved !
Plot :" res/benchmark_NoCeil/MyLeNetMatNormalNoceil-50epochs__k1_3 " saved !

real	38m33.682s
user	53m21.131s
sys	12m1.798s