Epoch: 0001 train_loss= 1.38807 train_acc= 0.31145 val_loss= 1.38175 val_acc= 0.33333 time= 0.34378
Epoch: 0002 train_loss= 1.38618 train_acc= 0.31145 val_loss= 1.37888 val_acc= 0.33333 time= 0.01561
Epoch: 0003 train_loss= 1.38471 train_acc= 0.31145 val_loss= 1.37601 val_acc= 0.33333 time= 0.01563
Epoch: 0004 train_loss= 1.38300 train_acc= 0.31145 val_loss= 1.37315 val_acc= 0.33333 time= 0.01563
Epoch: 0005 train_loss= 1.38116 train_acc= 0.31145 val_loss= 1.37034 val_acc= 0.33333 time= 0.01563
Epoch: 0006 train_loss= 1.37969 train_acc= 0.31145 val_loss= 1.36760 val_acc= 0.33333 time= 0.01563
Epoch: 0007 train_loss= 1.37901 train_acc= 0.31145 val_loss= 1.36502 val_acc= 0.33333 time= 0.01563
Epoch: 0008 train_loss= 1.37808 train_acc= 0.31145 val_loss= 1.36267 val_acc= 0.33333 time= 0.03125
Epoch: 0009 train_loss= 1.37718 train_acc= 0.31145 val_loss= 1.36054 val_acc= 0.33333 time= 0.01563
Epoch: 0010 train_loss= 1.37639 train_acc= 0.31145 val_loss= 1.35867 val_acc= 0.33333 time= 0.01563
Epoch: 0011 train_loss= 1.37671 train_acc= 0.31145 val_loss= 1.35707 val_acc= 0.33333 time= 0.01563
Epoch: 0012 train_loss= 1.37548 train_acc= 0.31145 val_loss= 1.35577 val_acc= 0.33333 time= 0.01563
Epoch: 0013 train_loss= 1.37599 train_acc= 0.31145 val_loss= 1.35475 val_acc= 0.33333 time= 0.01563
Epoch: 0014 train_loss= 1.37543 train_acc= 0.31145 val_loss= 1.35399 val_acc= 0.33333 time= 0.01562
Epoch: 0015 train_loss= 1.37516 train_acc= 0.31145 val_loss= 1.35348 val_acc= 0.33333 time= 0.01563
Epoch: 0016 train_loss= 1.37630 train_acc= 0.31145 val_loss= 1.35320 val_acc= 0.33333 time= 0.01563
Epoch: 0017 train_loss= 1.37566 train_acc= 0.31145 val_loss= 1.35313 val_acc= 0.33333 time= 0.01563
Epoch: 0018 train_loss= 1.37532 train_acc= 0.31145 val_loss= 1.35323 val_acc= 0.33333 time= 0.01563
Epoch: 0019 train_loss= 1.37502 train_acc= 0.31145 val_loss= 1.35349 val_acc= 0.33333 time= 0.01563
Epoch: 0020 train_loss= 1.37510 train_acc= 0.31145 val_loss= 1.35388 val_acc= 0.33333 time= 0.01563
Epoch: 0021 train_loss= 1.37457 train_acc= 0.31145 val_loss= 1.35438 val_acc= 0.33333 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 1.38583 accuracy= 0.31667 time= 0.01563 
