Epoch: 0001 train_loss= 0.70092 train_acc= 0.46970 val_loss= 0.69752 val_acc= 0.65574 time= 0.17189
Epoch: 0002 train_loss= 0.69739 train_acc= 0.55758 val_loss= 0.69509 val_acc= 0.60656 time= 0.01563
Epoch: 0003 train_loss= 0.69486 train_acc= 0.53030 val_loss= 0.69330 val_acc= 0.62295 time= 0.00000
Epoch: 0004 train_loss= 0.69374 train_acc= 0.53636 val_loss= 0.69201 val_acc= 0.63934 time= 0.01563
Epoch: 0005 train_loss= 0.69303 train_acc= 0.56061 val_loss= 0.69124 val_acc= 0.63934 time= 0.00000
Epoch: 0006 train_loss= 0.69029 train_acc= 0.55758 val_loss= 0.69093 val_acc= 0.62295 time= 0.01563
Epoch: 0007 train_loss= 0.69043 train_acc= 0.58485 val_loss= 0.69094 val_acc= 0.62295 time= 0.01562
Epoch: 0008 train_loss= 0.68965 train_acc= 0.59697 val_loss= 0.69119 val_acc= 0.63934 time= 0.00000
Epoch: 0009 train_loss= 0.68867 train_acc= 0.63030 val_loss= 0.69151 val_acc= 0.63934 time= 0.00000
Epoch: 0010 train_loss= 0.68845 train_acc= 0.63636 val_loss= 0.69156 val_acc= 0.65574 time= 0.01563
Epoch: 0011 train_loss= 0.68919 train_acc= 0.66667 val_loss= 0.69124 val_acc= 0.65574 time= 0.01562
Epoch: 0012 train_loss= 0.68767 train_acc= 0.63939 val_loss= 0.69081 val_acc= 0.65574 time= 0.00000
Epoch: 0013 train_loss= 0.68500 train_acc= 0.73030 val_loss= 0.69006 val_acc= 0.65574 time= 0.01563
Epoch: 0014 train_loss= 0.68660 train_acc= 0.65758 val_loss= 0.68924 val_acc= 0.65574 time= 0.00000
Epoch: 0015 train_loss= 0.68633 train_acc= 0.60606 val_loss= 0.68867 val_acc= 0.65574 time= 0.01563
Epoch: 0016 train_loss= 0.68618 train_acc= 0.59394 val_loss= 0.68856 val_acc= 0.65574 time= 0.00000
Epoch: 0017 train_loss= 0.68520 train_acc= 0.62424 val_loss= 0.68872 val_acc= 0.65574 time= 0.01563
Epoch: 0018 train_loss= 0.68381 train_acc= 0.64242 val_loss= 0.68901 val_acc= 0.65574 time= 0.00000
Epoch: 0019 train_loss= 0.68292 train_acc= 0.63030 val_loss= 0.68960 val_acc= 0.67213 time= 0.01563
Epoch: 0020 train_loss= 0.67917 train_acc= 0.66970 val_loss= 0.68986 val_acc= 0.70492 time= 0.00000
Early stopping...
Optimization Finished!
Test set results: cost= 0.68831 accuracy= 0.76230 time= 0.00000 
