Epoch: 0001 train_loss= 2.14848 train_acc= 0.12668 val_loss= 2.09699 val_acc= 0.13793 time= 0.92571
Epoch: 0002 train_loss= 2.13037 train_acc= 0.10512 val_loss= 2.08662 val_acc= 0.13793 time= 0.01910
Epoch: 0003 train_loss= 2.12030 train_acc= 0.12938 val_loss= 2.07903 val_acc= 0.06897 time= 0.01700
Epoch: 0004 train_loss= 2.09869 train_acc= 0.10512 val_loss= 2.07269 val_acc= 0.10345 time= 0.01400
Epoch: 0005 train_loss= 2.09131 train_acc= 0.12938 val_loss= 2.06910 val_acc= 0.10345 time= 0.01300
Epoch: 0006 train_loss= 2.09428 train_acc= 0.13747 val_loss= 2.06549 val_acc= 0.06897 time= 0.00325
Epoch: 0007 train_loss= 2.08973 train_acc= 0.14286 val_loss= 2.06274 val_acc= 0.06897 time= 0.01563
Epoch: 0008 train_loss= 2.07694 train_acc= 0.13208 val_loss= 2.06107 val_acc= 0.06897 time= 0.01563
Epoch: 0009 train_loss= 2.08087 train_acc= 0.13747 val_loss= 2.06039 val_acc= 0.06897 time= 0.01563
Epoch: 0010 train_loss= 2.07272 train_acc= 0.15364 val_loss= 2.05976 val_acc= 0.10345 time= 0.01563
Epoch: 0011 train_loss= 2.06305 train_acc= 0.15633 val_loss= 2.05843 val_acc= 0.13793 time= 0.01563
Epoch: 0012 train_loss= 2.06895 train_acc= 0.14555 val_loss= 2.05756 val_acc= 0.13793 time= 0.00000
Epoch: 0013 train_loss= 2.06056 train_acc= 0.13477 val_loss= 2.05718 val_acc= 0.13793 time= 0.01563
Epoch: 0014 train_loss= 2.06313 train_acc= 0.17251 val_loss= 2.05681 val_acc= 0.13793 time= 0.01563
Epoch: 0015 train_loss= 2.05809 train_acc= 0.16981 val_loss= 2.05689 val_acc= 0.17241 time= 0.01563
Epoch: 0016 train_loss= 2.05333 train_acc= 0.15633 val_loss= 2.05699 val_acc= 0.17241 time= 0.01563
Epoch: 0017 train_loss= 2.07039 train_acc= 0.15364 val_loss= 2.05736 val_acc= 0.17241 time= 0.01562
Epoch: 0018 train_loss= 2.05430 train_acc= 0.16712 val_loss= 2.05752 val_acc= 0.17241 time= 0.01563
Epoch: 0019 train_loss= 2.05584 train_acc= 0.17790 val_loss= 2.05778 val_acc= 0.17241 time= 0.01563
Epoch: 0020 train_loss= 2.06092 train_acc= 0.15903 val_loss= 2.05766 val_acc= 0.17241 time= 0.00000
Early stopping...
Optimization Finished!
Test set results: cost= 2.06853 accuracy= 0.08475 time= 0.01563 
