Epoch: 0001 train_loss= 1.39655 train_acc= 0.24721 val_loss= 1.38970 val_acc= 0.30357 time= 0.87506
Epoch: 0002 train_loss= 1.39441 train_acc= 0.25559 val_loss= 1.38895 val_acc= 0.30357 time= 0.00000
Epoch: 0003 train_loss= 1.39394 train_acc= 0.25000 val_loss= 1.38825 val_acc= 0.30357 time= 0.01562
Epoch: 0004 train_loss= 1.39186 train_acc= 0.25140 val_loss= 1.38762 val_acc= 0.30357 time= 0.00000
Epoch: 0005 train_loss= 1.39066 train_acc= 0.24721 val_loss= 1.38707 val_acc= 0.30357 time= 0.01563
Epoch: 0006 train_loss= 1.39063 train_acc= 0.24441 val_loss= 1.38654 val_acc= 0.28571 time= 0.00000
Epoch: 0007 train_loss= 1.38879 train_acc= 0.25140 val_loss= 1.38603 val_acc= 0.28571 time= 0.01563
Epoch: 0008 train_loss= 1.38818 train_acc= 0.25279 val_loss= 1.38556 val_acc= 0.21429 time= 0.00000
Epoch: 0009 train_loss= 1.38740 train_acc= 0.27374 val_loss= 1.38509 val_acc= 0.25000 time= 0.01563
Epoch: 0010 train_loss= 1.38649 train_acc= 0.26955 val_loss= 1.38461 val_acc= 0.28571 time= 0.00000
Epoch: 0011 train_loss= 1.38562 train_acc= 0.28212 val_loss= 1.38415 val_acc= 0.28571 time= 0.00000
Epoch: 0012 train_loss= 1.38383 train_acc= 0.29050 val_loss= 1.38371 val_acc= 0.28571 time= 0.01563
Epoch: 0013 train_loss= 1.38360 train_acc= 0.29888 val_loss= 1.38327 val_acc= 0.28571 time= 0.01563
Epoch: 0014 train_loss= 1.38242 train_acc= 0.29469 val_loss= 1.38284 val_acc= 0.28571 time= 0.00000
Epoch: 0015 train_loss= 1.38235 train_acc= 0.29609 val_loss= 1.38240 val_acc= 0.28571 time= 0.00000
Epoch: 0016 train_loss= 1.38246 train_acc= 0.29609 val_loss= 1.38195 val_acc= 0.28571 time= 0.01563
Epoch: 0017 train_loss= 1.38094 train_acc= 0.29609 val_loss= 1.38146 val_acc= 0.28571 time= 0.00000
Epoch: 0018 train_loss= 1.38201 train_acc= 0.29469 val_loss= 1.38095 val_acc= 0.28571 time= 0.01563
Epoch: 0019 train_loss= 1.38046 train_acc= 0.29609 val_loss= 1.38038 val_acc= 0.28571 time= 0.00000
Epoch: 0020 train_loss= 1.38054 train_acc= 0.29609 val_loss= 1.37981 val_acc= 0.28571 time= 0.01563
Epoch: 0021 train_loss= 1.38001 train_acc= 0.29609 val_loss= 1.37918 val_acc= 0.28571 time= 0.00000
Epoch: 0022 train_loss= 1.37940 train_acc= 0.29609 val_loss= 1.37853 val_acc= 0.28571 time= 0.00000
Epoch: 0023 train_loss= 1.37965 train_acc= 0.29609 val_loss= 1.37781 val_acc= 0.28571 time= 0.01563
Epoch: 0024 train_loss= 1.38018 train_acc= 0.29609 val_loss= 1.37705 val_acc= 0.28571 time= 0.00000
Epoch: 0025 train_loss= 1.37911 train_acc= 0.29609 val_loss= 1.37625 val_acc= 0.28571 time= 0.01563
Epoch: 0026 train_loss= 1.37942 train_acc= 0.29609 val_loss= 1.37545 val_acc= 0.28571 time= 0.00000
Epoch: 0027 train_loss= 1.37905 train_acc= 0.29609 val_loss= 1.37465 val_acc= 0.28571 time= 0.00000
Epoch: 0028 train_loss= 1.37873 train_acc= 0.29609 val_loss= 1.37392 val_acc= 0.28571 time= 0.01563
Epoch: 0029 train_loss= 1.37871 train_acc= 0.29609 val_loss= 1.37318 val_acc= 0.28571 time= 0.00000
Epoch: 0030 train_loss= 1.37887 train_acc= 0.29609 val_loss= 1.37251 val_acc= 0.28571 time= 0.01563
Epoch: 0031 train_loss= 1.37900 train_acc= 0.29609 val_loss= 1.37192 val_acc= 0.28571 time= 0.00000
Epoch: 0032 train_loss= 1.38127 train_acc= 0.29609 val_loss= 1.37139 val_acc= 0.28571 time= 0.01563
Epoch: 0033 train_loss= 1.37924 train_acc= 0.29609 val_loss= 1.37095 val_acc= 0.28571 time= 0.00000
Epoch: 0034 train_loss= 1.37956 train_acc= 0.29609 val_loss= 1.37060 val_acc= 0.28571 time= 0.01563
Epoch: 0035 train_loss= 1.37830 train_acc= 0.29609 val_loss= 1.37032 val_acc= 0.28571 time= 0.00000
Epoch: 0036 train_loss= 1.37883 train_acc= 0.29609 val_loss= 1.37015 val_acc= 0.28571 time= 0.01563
Epoch: 0037 train_loss= 1.37907 train_acc= 0.29469 val_loss= 1.37007 val_acc= 0.28571 time= 0.00000
Epoch: 0038 train_loss= 1.37851 train_acc= 0.29609 val_loss= 1.37007 val_acc= 0.28571 time= 0.00000
Epoch: 0039 train_loss= 1.37851 train_acc= 0.29609 val_loss= 1.37014 val_acc= 0.28571 time= 0.01563
Epoch: 0040 train_loss= 1.37787 train_acc= 0.29609 val_loss= 1.37026 val_acc= 0.28571 time= 0.00000
Epoch: 0041 train_loss= 1.37801 train_acc= 0.29609 val_loss= 1.37044 val_acc= 0.28571 time= 0.01563
Epoch: 0042 train_loss= 1.37865 train_acc= 0.29609 val_loss= 1.37065 val_acc= 0.28571 time= 0.00000
Early stopping...
Optimization Finished!
Test set results: cost= 1.38397 accuracy= 0.31858 time= 0.00000 
