Epoch: 0001 train_loss= 1.39421 train_acc= 0.30587 val_loss= 1.39061 val_acc= 0.33929 time= 0.37503
Epoch: 0002 train_loss= 1.39100 train_acc= 0.30587 val_loss= 1.38759 val_acc= 0.33929 time= 0.01563
Epoch: 0003 train_loss= 1.38844 train_acc= 0.30587 val_loss= 1.38515 val_acc= 0.33929 time= 0.01563
Epoch: 0004 train_loss= 1.38641 train_acc= 0.30587 val_loss= 1.38322 val_acc= 0.33929 time= 0.01563
Epoch: 0005 train_loss= 1.38505 train_acc= 0.30587 val_loss= 1.38176 val_acc= 0.33929 time= 0.01563
Epoch: 0006 train_loss= 1.38416 train_acc= 0.30587 val_loss= 1.38067 val_acc= 0.33929 time= 0.01563
Epoch: 0007 train_loss= 1.38355 train_acc= 0.30587 val_loss= 1.37989 val_acc= 0.33929 time= 0.01563
Epoch: 0008 train_loss= 1.38298 train_acc= 0.30587 val_loss= 1.37931 val_acc= 0.33929 time= 0.01563
Epoch: 0009 train_loss= 1.38265 train_acc= 0.30587 val_loss= 1.37885 val_acc= 0.33929 time= 0.01563
Epoch: 0010 train_loss= 1.38246 train_acc= 0.30587 val_loss= 1.37847 val_acc= 0.33929 time= 0.01563
Epoch: 0011 train_loss= 1.38260 train_acc= 0.30587 val_loss= 1.37814 val_acc= 0.33929 time= 0.01563
Epoch: 0012 train_loss= 1.38222 train_acc= 0.30587 val_loss= 1.37785 val_acc= 0.33929 time= 0.01563
Epoch: 0013 train_loss= 1.38198 train_acc= 0.30587 val_loss= 1.37756 val_acc= 0.33929 time= 0.01563
Epoch: 0014 train_loss= 1.38150 train_acc= 0.30587 val_loss= 1.37726 val_acc= 0.33929 time= 0.01562
Epoch: 0015 train_loss= 1.38119 train_acc= 0.30587 val_loss= 1.37695 val_acc= 0.33929 time= 0.03125
Epoch: 0016 train_loss= 1.38074 train_acc= 0.30587 val_loss= 1.37665 val_acc= 0.33929 time= 0.01563
Epoch: 0017 train_loss= 1.38103 train_acc= 0.30587 val_loss= 1.37636 val_acc= 0.33929 time= 0.01563
Epoch: 0018 train_loss= 1.38037 train_acc= 0.30587 val_loss= 1.37610 val_acc= 0.33929 time= 0.01563
Epoch: 0019 train_loss= 1.38002 train_acc= 0.30587 val_loss= 1.37588 val_acc= 0.33929 time= 0.01563
Epoch: 0020 train_loss= 1.38002 train_acc= 0.30587 val_loss= 1.37568 val_acc= 0.33929 time= 0.01563
Epoch: 0021 train_loss= 1.37920 train_acc= 0.30587 val_loss= 1.37550 val_acc= 0.33929 time= 0.01563
Epoch: 0022 train_loss= 1.37968 train_acc= 0.30587 val_loss= 1.37529 val_acc= 0.33929 time= 0.01563
Epoch: 0023 train_loss= 1.37891 train_acc= 0.30587 val_loss= 1.37508 val_acc= 0.33929 time= 0.01563
Epoch: 0024 train_loss= 1.37908 train_acc= 0.30587 val_loss= 1.37487 val_acc= 0.33929 time= 0.01563
Epoch: 0025 train_loss= 1.37854 train_acc= 0.30587 val_loss= 1.37465 val_acc= 0.33929 time= 0.01563
Epoch: 0026 train_loss= 1.37868 train_acc= 0.30587 val_loss= 1.37445 val_acc= 0.33929 time= 0.01563
Epoch: 0027 train_loss= 1.37846 train_acc= 0.30587 val_loss= 1.37427 val_acc= 0.33929 time= 0.01563
Epoch: 0028 train_loss= 1.37804 train_acc= 0.30587 val_loss= 1.37412 val_acc= 0.33929 time= 0.01563
Epoch: 0029 train_loss= 1.37826 train_acc= 0.30587 val_loss= 1.37396 val_acc= 0.33929 time= 0.01563
Epoch: 0030 train_loss= 1.37829 train_acc= 0.30587 val_loss= 1.37377 val_acc= 0.33929 time= 0.01563
Epoch: 0031 train_loss= 1.37804 train_acc= 0.30587 val_loss= 1.37361 val_acc= 0.33929 time= 0.01563
Epoch: 0032 train_loss= 1.37801 train_acc= 0.30587 val_loss= 1.37351 val_acc= 0.33929 time= 0.01562
Epoch: 0033 train_loss= 1.37795 train_acc= 0.30587 val_loss= 1.37344 val_acc= 0.33929 time= 0.01563
Epoch: 0034 train_loss= 1.37774 train_acc= 0.30587 val_loss= 1.37338 val_acc= 0.33929 time= 0.01563
Epoch: 0035 train_loss= 1.37758 train_acc= 0.30587 val_loss= 1.37330 val_acc= 0.33929 time= 0.01563
Epoch: 0036 train_loss= 1.37752 train_acc= 0.30587 val_loss= 1.37318 val_acc= 0.33929 time= 0.01563
Epoch: 0037 train_loss= 1.37738 train_acc= 0.30587 val_loss= 1.37308 val_acc= 0.33929 time= 0.01563
Epoch: 0038 train_loss= 1.37756 train_acc= 0.30587 val_loss= 1.37299 val_acc= 0.33929 time= 0.01563
Epoch: 0039 train_loss= 1.37745 train_acc= 0.30587 val_loss= 1.37287 val_acc= 0.33929 time= 0.01563
Epoch: 0040 train_loss= 1.37705 train_acc= 0.30587 val_loss= 1.37271 val_acc= 0.33929 time= 0.01563
Epoch: 0041 train_loss= 1.37722 train_acc= 0.30587 val_loss= 1.37256 val_acc= 0.33929 time= 0.01563
Epoch: 0042 train_loss= 1.37703 train_acc= 0.30587 val_loss= 1.37249 val_acc= 0.33929 time= 0.01563
Epoch: 0043 train_loss= 1.37702 train_acc= 0.30587 val_loss= 1.37249 val_acc= 0.33929 time= 0.01563
Epoch: 0044 train_loss= 1.37669 train_acc= 0.30587 val_loss= 1.37253 val_acc= 0.33929 time= 0.01563
Epoch: 0045 train_loss= 1.37677 train_acc= 0.30587 val_loss= 1.37257 val_acc= 0.33929 time= 0.01563
Epoch: 0046 train_loss= 1.37697 train_acc= 0.30587 val_loss= 1.37254 val_acc= 0.33929 time= 0.03125
Epoch: 0047 train_loss= 1.37676 train_acc= 0.30587 val_loss= 1.37249 val_acc= 0.33929 time= 0.01563
Epoch: 0048 train_loss= 1.37666 train_acc= 0.30587 val_loss= 1.37232 val_acc= 0.33929 time= 0.01563
Epoch: 0049 train_loss= 1.37686 train_acc= 0.30587 val_loss= 1.37218 val_acc= 0.33929 time= 0.01563
Epoch: 0050 train_loss= 1.37668 train_acc= 0.30587 val_loss= 1.37204 val_acc= 0.33929 time= 0.01563
Epoch: 0051 train_loss= 1.37658 train_acc= 0.30587 val_loss= 1.37196 val_acc= 0.33929 time= 0.01563
Epoch: 0052 train_loss= 1.37680 train_acc= 0.30587 val_loss= 1.37190 val_acc= 0.33929 time= 0.01562
Epoch: 0053 train_loss= 1.37635 train_acc= 0.30587 val_loss= 1.37197 val_acc= 0.33929 time= 0.01563
Epoch: 0054 train_loss= 1.37662 train_acc= 0.30587 val_loss= 1.37215 val_acc= 0.33929 time= 0.01563
Epoch: 0055 train_loss= 1.37631 train_acc= 0.30587 val_loss= 1.37230 val_acc= 0.33929 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 1.37292 accuracy= 0.30973 time= 0.00000 
