Epoch: 0001 train_loss= 1.39288 train_acc= 0.20847 val_loss= 1.39299 val_acc= 0.19643 time= 0.10938
Epoch: 0002 train_loss= 1.39095 train_acc= 0.31596 val_loss= 1.39405 val_acc= 0.19643 time= 0.01563
Epoch: 0003 train_loss= 1.38984 train_acc= 0.31596 val_loss= 1.39495 val_acc= 0.19643 time= 0.01563
Epoch: 0004 train_loss= 1.38862 train_acc= 0.31596 val_loss= 1.39588 val_acc= 0.19643 time= 0.01563
Epoch: 0005 train_loss= 1.38718 train_acc= 0.31596 val_loss= 1.39674 val_acc= 0.19643 time= 0.01563
Epoch: 0006 train_loss= 1.38589 train_acc= 0.31596 val_loss= 1.39759 val_acc= 0.19643 time= 0.01563
Epoch: 0007 train_loss= 1.38439 train_acc= 0.31596 val_loss= 1.39832 val_acc= 0.19643 time= 0.01563
Epoch: 0008 train_loss= 1.38314 train_acc= 0.31596 val_loss= 1.39916 val_acc= 0.19643 time= 0.01563
Epoch: 0009 train_loss= 1.38232 train_acc= 0.31596 val_loss= 1.40000 val_acc= 0.19643 time= 0.01563
Epoch: 0010 train_loss= 1.38121 train_acc= 0.31596 val_loss= 1.40079 val_acc= 0.19643 time= 0.01563
Epoch: 0011 train_loss= 1.37928 train_acc= 0.31596 val_loss= 1.40165 val_acc= 0.19643 time= 0.01563
Epoch: 0012 train_loss= 1.37834 train_acc= 0.31596 val_loss= 1.40238 val_acc= 0.19643 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 1.38546 accuracy= 0.30088 time= 0.00000 
