Epoch: 0001 train_loss= 1.94115 train_acc= 0.48182 val_loss= 1.11797 val_acc= 0.40984 time= 0.18751
Epoch: 0002 train_loss= 1.73895 train_acc= 0.47455 val_loss= 0.76251 val_acc= 0.44262 time= 0.01563
Epoch: 0003 train_loss= 1.63096 train_acc= 0.46000 val_loss= 0.85494 val_acc= 0.59016 time= 0.01563
Epoch: 0004 train_loss= 1.36408 train_acc= 0.51636 val_loss= 0.96075 val_acc= 0.60656 time= 0.00000
Epoch: 0005 train_loss= 0.73919 train_acc= 0.45818 val_loss= 1.08232 val_acc= 0.57377 time= 0.01563
Epoch: 0006 train_loss= 0.90588 train_acc= 0.52182 val_loss= 1.14639 val_acc= 0.57377 time= 0.01563
Epoch: 0007 train_loss= 1.17903 train_acc= 0.52909 val_loss= 1.15424 val_acc= 0.57377 time= 0.01563
Epoch: 0008 train_loss= 0.78040 train_acc= 0.52182 val_loss= 1.14165 val_acc= 0.57377 time= 0.01562
Epoch: 0009 train_loss= 0.84005 train_acc= 0.52000 val_loss= 1.08110 val_acc= 0.57377 time= 0.01563
Epoch: 0010 train_loss= 1.03303 train_acc= 0.50727 val_loss= 0.95572 val_acc= 0.57377 time= 0.00000
Epoch: 0011 train_loss= 0.83667 train_acc= 0.52364 val_loss= 0.83912 val_acc= 0.57377 time= 0.01563
Epoch: 0012 train_loss= 0.98239 train_acc= 0.52909 val_loss= 0.73891 val_acc= 0.57377 time= 0.01563
Epoch: 0013 train_loss= 0.76199 train_acc= 0.52000 val_loss= 0.69003 val_acc= 0.59016 time= 0.01563
Epoch: 0014 train_loss= 0.77495 train_acc= 0.50182 val_loss= 0.69744 val_acc= 0.59016 time= 0.01563
Epoch: 0015 train_loss= 0.86344 train_acc= 0.52364 val_loss= 0.69585 val_acc= 0.55738 time= 0.00000
Epoch: 0016 train_loss= 0.97670 train_acc= 0.48000 val_loss= 0.68884 val_acc= 0.54098 time= 0.01563
Epoch: 0017 train_loss= 0.96615 train_acc= 0.50909 val_loss= 0.68785 val_acc= 0.52459 time= 0.01563
Epoch: 0018 train_loss= 0.79491 train_acc= 0.54364 val_loss= 0.68832 val_acc= 0.52459 time= 0.01563
Epoch: 0019 train_loss= 1.27708 train_acc= 0.54182 val_loss= 0.69683 val_acc= 0.52459 time= 0.01563
Epoch: 0020 train_loss= 0.86333 train_acc= 0.51091 val_loss= 0.72436 val_acc= 0.54098 time= 0.00000
Epoch: 0021 train_loss= 0.75186 train_acc= 0.53455 val_loss= 0.76956 val_acc= 0.52459 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 0.70257 accuracy= 0.50000 time= 0.01563 
