Epoch: 0001 train_loss= 2.08578 train_acc= 0.08302 val_loss= 2.08494 val_acc= 0.13793 time= 0.39451
Epoch: 0002 train_loss= 2.08533 train_acc= 0.09434 val_loss= 2.08451 val_acc= 0.13793 time= 0.00000
Epoch: 0003 train_loss= 2.08468 train_acc= 0.13962 val_loss= 2.08410 val_acc= 0.13793 time= 0.01562
Epoch: 0004 train_loss= 2.08418 train_acc= 0.15849 val_loss= 2.08363 val_acc= 0.17241 time= 0.00000
Epoch: 0005 train_loss= 2.08371 train_acc= 0.13962 val_loss= 2.08315 val_acc= 0.17241 time= 0.01563
Epoch: 0006 train_loss= 2.08318 train_acc= 0.13962 val_loss= 2.08268 val_acc= 0.17241 time= 0.00000
Epoch: 0007 train_loss= 2.08283 train_acc= 0.12830 val_loss= 2.08222 val_acc= 0.17241 time= 0.01563
Epoch: 0008 train_loss= 2.08230 train_acc= 0.13208 val_loss= 2.08176 val_acc= 0.17241 time= 0.00000
Epoch: 0009 train_loss= 2.08189 train_acc= 0.13208 val_loss= 2.08133 val_acc= 0.17241 time= 0.01563
Epoch: 0010 train_loss= 2.08134 train_acc= 0.13585 val_loss= 2.08092 val_acc= 0.17241 time= 0.00000
Epoch: 0011 train_loss= 2.08084 train_acc= 0.13585 val_loss= 2.08055 val_acc= 0.17241 time= 0.01563
Epoch: 0012 train_loss= 2.08049 train_acc= 0.13585 val_loss= 2.08023 val_acc= 0.17241 time= 0.00000
Epoch: 0013 train_loss= 2.08011 train_acc= 0.13585 val_loss= 2.07994 val_acc= 0.17241 time= 0.01562
Epoch: 0014 train_loss= 2.07947 train_acc= 0.13585 val_loss= 2.07961 val_acc= 0.17241 time= 0.00000
Epoch: 0015 train_loss= 2.07949 train_acc= 0.13585 val_loss= 2.07924 val_acc= 0.17241 time= 0.00000
Epoch: 0016 train_loss= 2.07828 train_acc= 0.13208 val_loss= 2.07892 val_acc= 0.17241 time= 0.00000
Epoch: 0017 train_loss= 2.07818 train_acc= 0.13585 val_loss= 2.07869 val_acc= 0.17241 time= 0.01563
Epoch: 0018 train_loss= 2.07705 train_acc= 0.13585 val_loss= 2.07864 val_acc= 0.17241 time= 0.00000
Epoch: 0019 train_loss= 2.07648 train_acc= 0.13962 val_loss= 2.07876 val_acc= 0.17241 time= 0.01562
Epoch: 0020 train_loss= 2.07615 train_acc= 0.12453 val_loss= 2.07906 val_acc= 0.17241 time= 0.00000
Epoch: 0021 train_loss= 2.07577 train_acc= 0.14340 val_loss= 2.07958 val_acc= 0.17241 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 2.06595 accuracy= 0.13559 time= 0.00000 
