Epoch: 0001 train_loss= 0.70010 train_acc= 0.49091 val_loss= 0.69927 val_acc= 0.54098 time= 0.50012
Epoch: 0002 train_loss= 0.69749 train_acc= 0.50364 val_loss= 0.69979 val_acc= 0.52459 time= 0.01563
Epoch: 0003 train_loss= 0.69519 train_acc= 0.51273 val_loss= 0.70022 val_acc= 0.50820 time= 0.00000
Epoch: 0004 train_loss= 0.69613 train_acc= 0.52364 val_loss= 0.70054 val_acc= 0.50820 time= 0.01563
Epoch: 0005 train_loss= 0.69818 train_acc= 0.50909 val_loss= 0.70020 val_acc= 0.50820 time= 0.00000
Epoch: 0006 train_loss= 0.69562 train_acc= 0.51818 val_loss= 0.69970 val_acc= 0.50820 time= 0.00000
Epoch: 0007 train_loss= 0.69624 train_acc= 0.51091 val_loss= 0.69929 val_acc= 0.50820 time= 0.01563
Epoch: 0008 train_loss= 0.69271 train_acc= 0.50545 val_loss= 0.69887 val_acc= 0.50820 time= 0.00000
Epoch: 0009 train_loss= 0.69296 train_acc= 0.51273 val_loss= 0.69864 val_acc= 0.50820 time= 0.00000
Epoch: 0010 train_loss= 0.69382 train_acc= 0.50545 val_loss= 0.69849 val_acc= 0.50820 time= 0.01563
Epoch: 0011 train_loss= 0.69518 train_acc= 0.50909 val_loss= 0.69830 val_acc= 0.50820 time= 0.00000
Epoch: 0012 train_loss= 0.69460 train_acc= 0.48909 val_loss= 0.69804 val_acc= 0.52459 time= 0.00000
Epoch: 0013 train_loss= 0.69409 train_acc= 0.51455 val_loss= 0.69783 val_acc= 0.52459 time= 0.01563
Epoch: 0014 train_loss= 0.69521 train_acc= 0.51636 val_loss= 0.69766 val_acc= 0.52459 time= 0.00000
Epoch: 0015 train_loss= 0.69379 train_acc= 0.50909 val_loss= 0.69759 val_acc= 0.52459 time= 0.00000
Epoch: 0016 train_loss= 0.69162 train_acc= 0.51091 val_loss= 0.69759 val_acc= 0.52459 time= 0.01563
Epoch: 0017 train_loss= 0.69217 train_acc= 0.51091 val_loss= 0.69773 val_acc= 0.52459 time= 0.00000
Epoch: 0018 train_loss= 0.69393 train_acc= 0.50182 val_loss= 0.69769 val_acc= 0.52459 time= 0.00000
Epoch: 0019 train_loss= 0.69318 train_acc= 0.51636 val_loss= 0.69773 val_acc= 0.52459 time= 0.01563
Epoch: 0020 train_loss= 0.69289 train_acc= 0.51455 val_loss= 0.69774 val_acc= 0.52459 time= 0.00000
Epoch: 0021 train_loss= 0.69312 train_acc= 0.50909 val_loss= 0.69779 val_acc= 0.52459 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 0.69213 accuracy= 0.53279 time= 0.00000 
