Epoch: 0001 train_loss= 1.39220 train_acc= 0.31445 val_loss= 1.39073 val_acc= 0.30357 time= 0.35974
Epoch: 0002 train_loss= 1.39067 train_acc= 0.31250 val_loss= 1.38941 val_acc= 0.30357 time= 0.01563
Epoch: 0003 train_loss= 1.38883 train_acc= 0.31445 val_loss= 1.38817 val_acc= 0.30357 time= 0.01562
Epoch: 0004 train_loss= 1.38753 train_acc= 0.31250 val_loss= 1.38701 val_acc= 0.30357 time= 0.01563
Epoch: 0005 train_loss= 1.38573 train_acc= 0.31445 val_loss= 1.38596 val_acc= 0.30357 time= 0.01563
Epoch: 0006 train_loss= 1.38395 train_acc= 0.31445 val_loss= 1.38500 val_acc= 0.30357 time= 0.01562
Epoch: 0007 train_loss= 1.38335 train_acc= 0.31055 val_loss= 1.38413 val_acc= 0.30357 time= 0.01563
Epoch: 0008 train_loss= 1.38278 train_acc= 0.31445 val_loss= 1.38325 val_acc= 0.30357 time= 0.00000
Epoch: 0009 train_loss= 1.38133 train_acc= 0.31445 val_loss= 1.38237 val_acc= 0.30357 time= 0.01563
Epoch: 0010 train_loss= 1.38029 train_acc= 0.31445 val_loss= 1.38149 val_acc= 0.30357 time= 0.01563
Epoch: 0011 train_loss= 1.37875 train_acc= 0.31445 val_loss= 1.38058 val_acc= 0.30357 time= 0.01563
Epoch: 0012 train_loss= 1.37785 train_acc= 0.31445 val_loss= 1.37966 val_acc= 0.30357 time= 0.01563
Epoch: 0013 train_loss= 1.37771 train_acc= 0.31445 val_loss= 1.37877 val_acc= 0.30357 time= 0.01563
Epoch: 0014 train_loss= 1.37640 train_acc= 0.31445 val_loss= 1.37787 val_acc= 0.30357 time= 0.00000
Epoch: 0015 train_loss= 1.37640 train_acc= 0.31445 val_loss= 1.37700 val_acc= 0.30357 time= 0.01563
Epoch: 0016 train_loss= 1.37503 train_acc= 0.31445 val_loss= 1.37616 val_acc= 0.30357 time= 0.01563
Epoch: 0017 train_loss= 1.37715 train_acc= 0.31445 val_loss= 1.37535 val_acc= 0.30357 time= 0.01563
Epoch: 0018 train_loss= 1.37434 train_acc= 0.31445 val_loss= 1.37458 val_acc= 0.30357 time= 0.01563
Epoch: 0019 train_loss= 1.37506 train_acc= 0.31445 val_loss= 1.37385 val_acc= 0.30357 time= 0.01563
Epoch: 0020 train_loss= 1.37389 train_acc= 0.31445 val_loss= 1.37311 val_acc= 0.30357 time= 0.01563
Epoch: 0021 train_loss= 1.37477 train_acc= 0.31445 val_loss= 1.37231 val_acc= 0.30357 time= 0.00000
Epoch: 0022 train_loss= 1.37403 train_acc= 0.31445 val_loss= 1.37157 val_acc= 0.30357 time= 0.01563
Epoch: 0023 train_loss= 1.37170 train_acc= 0.31445 val_loss= 1.37093 val_acc= 0.30357 time= 0.01563
Epoch: 0024 train_loss= 1.37343 train_acc= 0.31445 val_loss= 1.37050 val_acc= 0.30357 time= 0.01563
Epoch: 0025 train_loss= 1.37393 train_acc= 0.31445 val_loss= 1.37015 val_acc= 0.30357 time= 0.01563
Epoch: 0026 train_loss= 1.37296 train_acc= 0.31445 val_loss= 1.36994 val_acc= 0.30357 time= 0.01563
Epoch: 0027 train_loss= 1.37234 train_acc= 0.31250 val_loss= 1.36984 val_acc= 0.30357 time= 0.00000
Epoch: 0028 train_loss= 1.37310 train_acc= 0.31445 val_loss= 1.36985 val_acc= 0.30357 time= 0.01563
Epoch: 0029 train_loss= 1.37249 train_acc= 0.31445 val_loss= 1.36997 val_acc= 0.30357 time= 0.01563
Epoch: 0030 train_loss= 1.37208 train_acc= 0.31445 val_loss= 1.37011 val_acc= 0.30357 time= 0.01563
Epoch: 0031 train_loss= 1.37323 train_acc= 0.31445 val_loss= 1.37024 val_acc= 0.30357 time= 0.01562
Epoch: 0032 train_loss= 1.37286 train_acc= 0.31445 val_loss= 1.37029 val_acc= 0.30357 time= 0.01763
Epoch: 0033 train_loss= 1.37439 train_acc= 0.31445 val_loss= 1.37035 val_acc= 0.30357 time= 0.01651
Early stopping...
Optimization Finished!
Test set results: cost= 1.34140 accuracy= 0.36283 time= 0.01651 
