Namespace(batch=128, dataset='CIFAR10', epochs=50, k=3, lr=0.05, net='MyLeNetMatStochBUNoceil', postfix='__k3_2', 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 : 22.47 / 28.87
Loss : 2.07 / 1.87
Time: 73.43172709643841
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Epoch: 5
Acc : 40.79 / 36.61
Loss : 1.62 / 1.77
Time: 440.08674016874284
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Epoch: 10
Acc : 46.63 / 31.72
Loss : 1.48 / 1.78
Time: 805.6908490704373
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Epoch: 15
Acc : 50.33 / 36.32
Loss : 1.38 / 1.65
Time: 1171.5075644087046
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Epoch: 20
Acc : 53.78 / 35.36
Loss : 1.28 / 1.70
Time: 1537.8829597318545
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Epoch: 25
Acc : 55.99 / 40.15
Loss : 1.22 / 1.60
Time: 1903.7469382034615
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Epoch: 30
Acc : 58.90 / 46.06
Loss : 1.15 / 1.45
Time: 2269.2510411664844
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Epoch: 35
Acc : 61.37 / 41.17
Loss : 1.09 / 1.70
Time: 2634.5049549862742
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Epoch: 40
Acc : 62.56 / 41.62
Loss : 1.05 / 1.69
Time: 2999.9693449428305
---------

Epoch: 45
Acc : 64.12 / 44.62
Loss : 1.01 / 1.56
Time: 3365.504422593862
---------
Best Acc : 47.18
Training time (min): 60.982219754951075
Log :" res/benchmark_NoCeil/log/MyLeNetMatStochBUNoceil-50epochs__k3_2.json " saved !
Plot :" res/benchmark_NoCeil/MyLeNetMatStochBUNoceil-50epochs__k3_2 " saved !

real	61m11.800s
user	71m34.006s
sys	17m52.119s