Epoch: 0001 train_loss= 0.73652 train_acc= 0.53818 val_loss= 0.70539 val_acc= 0.49180 time= 0.60497
Epoch: 0002 train_loss= 0.71848 train_acc= 0.53455 val_loss= 0.70288 val_acc= 0.47541 time= 0.02200
Epoch: 0003 train_loss= 0.78723 train_acc= 0.51636 val_loss= 0.69067 val_acc= 0.55738 time= 0.01274
Epoch: 0004 train_loss= 0.74445 train_acc= 0.52909 val_loss= 0.68397 val_acc= 0.55738 time= 0.03125
Epoch: 0005 train_loss= 0.81791 train_acc= 0.52545 val_loss= 0.68449 val_acc= 0.57377 time= 0.01563
Epoch: 0006 train_loss= 0.71557 train_acc= 0.53818 val_loss= 0.68699 val_acc= 0.50820 time= 0.03125
Epoch: 0007 train_loss= 0.72340 train_acc= 0.52545 val_loss= 0.69683 val_acc= 0.50820 time= 0.01563
Epoch: 0008 train_loss= 0.73967 train_acc= 0.51636 val_loss= 0.69704 val_acc= 0.52459 time= 0.01563
Epoch: 0009 train_loss= 0.73917 train_acc= 0.49818 val_loss= 0.70237 val_acc= 0.52459 time= 0.03125
Epoch: 0010 train_loss= 0.71634 train_acc= 0.52545 val_loss= 0.70564 val_acc= 0.52459 time= 0.01563
Epoch: 0011 train_loss= 0.78144 train_acc= 0.52909 val_loss= 0.69526 val_acc= 0.54098 time= 0.03125
Epoch: 0012 train_loss= 0.70552 train_acc= 0.53091 val_loss= 0.68772 val_acc= 0.57377 time= 0.01562
Epoch: 0013 train_loss= 0.70246 train_acc= 0.51818 val_loss= 0.68278 val_acc= 0.57377 time= 0.03125
Epoch: 0014 train_loss= 0.70277 train_acc= 0.53091 val_loss= 0.68217 val_acc= 0.59016 time= 0.01563
Epoch: 0015 train_loss= 0.69577 train_acc= 0.53636 val_loss= 0.68226 val_acc= 0.63934 time= 0.03125
Epoch: 0016 train_loss= 0.70383 train_acc= 0.53455 val_loss= 0.68328 val_acc= 0.62295 time= 0.01563
Epoch: 0017 train_loss= 0.69470 train_acc= 0.53091 val_loss= 0.68453 val_acc= 0.60656 time= 0.03125
Epoch: 0018 train_loss= 0.69206 train_acc= 0.50727 val_loss= 0.68568 val_acc= 0.63934 time= 0.01563
Epoch: 0019 train_loss= 0.70450 train_acc= 0.53455 val_loss= 0.68696 val_acc= 0.62295 time= 0.03125
Epoch: 0020 train_loss= 0.69269 train_acc= 0.52909 val_loss= 0.68801 val_acc= 0.62295 time= 0.01562
Early stopping...
Optimization Finished!
Test set results: cost= 0.71168 accuracy= 0.46721 time= 0.01563 
