Namespace(batch=128, dataset='CIFAR10', epochs=50, k=3, lr=0.05, net='MyLeNetMatStochNoceil', 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 : 26.23 / 24.77
Loss : 1.96 / 1.95
Time: 88.89952981937677
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Epoch: 5
Acc : 49.19 / 37.63
Loss : 1.41 / 1.69
Time: 533.3709430936724
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Epoch: 10
Acc : 56.72 / 39.58
Loss : 1.21 / 1.61
Time: 978.0299946693704
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Epoch: 15
Acc : 60.20 / 37.36
Loss : 1.11 / 1.73
Time: 1422.6836077561602
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Epoch: 20
Acc : 63.17 / 37.28
Loss : 1.03 / 1.73
Time: 1867.3761521866545
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Epoch: 25
Acc : 66.56 / 41.14
Loss : 0.95 / 1.61
Time: 2311.9993200674653
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Epoch: 30
Acc : 68.86 / 40.12
Loss : 0.89 / 1.72
Time: 2756.85310437344
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Epoch: 35
Acc : 71.20 / 45.03
Loss : 0.82 / 1.60
Time: 3201.5983270090073
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Epoch: 40
Acc : 73.10 / 43.67
Loss : 0.77 / 1.62
Time: 3646.298190155998
---------

Epoch: 45
Acc : 75.00 / 45.30
Loss : 0.72 / 1.58
Time: 4091.1723202215508
---------
Best Acc : 48.57
Training time (min): 74.11512494976633
Log :" res/benchmark_NoCeil/log/MyLeNetMatStochNoceil-50epochs__k3_2.json " saved !
Plot :" res/benchmark_NoCeil/MyLeNetMatStochNoceil-50epochs__k3_2 " saved !

real	74m20.018s
user	77m49.963s
sys	24m34.997s