Epoch: 0001 train_loss= 2.08700 train_acc= 0.13962 val_loss= 2.09283 val_acc= 0.06897 time= 0.57061
Epoch: 0002 train_loss= 2.08558 train_acc= 0.14340 val_loss= 2.09123 val_acc= 0.06897 time= 0.00000
Epoch: 0003 train_loss= 2.08374 train_acc= 0.14340 val_loss= 2.08978 val_acc= 0.06897 time= 0.01562
Epoch: 0004 train_loss= 2.08240 train_acc= 0.14340 val_loss= 2.08843 val_acc= 0.06897 time= 0.00000
Epoch: 0005 train_loss= 2.08089 train_acc= 0.14340 val_loss= 2.08728 val_acc= 0.06897 time= 0.01563
Epoch: 0006 train_loss= 2.07905 train_acc= 0.14340 val_loss= 2.08613 val_acc= 0.06897 time= 0.00000
Epoch: 0007 train_loss= 2.07759 train_acc= 0.15472 val_loss= 2.08512 val_acc= 0.06897 time= 0.00000
Epoch: 0008 train_loss= 2.07753 train_acc= 0.13962 val_loss= 2.08412 val_acc= 0.06897 time= 0.01563
Epoch: 0009 train_loss= 2.07404 train_acc= 0.16226 val_loss= 2.08325 val_acc= 0.13793 time= 0.00000
Epoch: 0010 train_loss= 2.07286 train_acc= 0.14340 val_loss= 2.08239 val_acc= 0.13793 time= 0.00000
Epoch: 0011 train_loss= 2.07217 train_acc= 0.18113 val_loss= 2.08145 val_acc= 0.13793 time= 0.00000
Epoch: 0012 train_loss= 2.06967 train_acc= 0.16226 val_loss= 2.08050 val_acc= 0.13793 time= 0.01563
Epoch: 0013 train_loss= 2.06855 train_acc= 0.16981 val_loss= 2.07968 val_acc= 0.13793 time= 0.00000
Epoch: 0014 train_loss= 2.06733 train_acc= 0.14340 val_loss= 2.07895 val_acc= 0.13793 time= 0.00000
Epoch: 0015 train_loss= 2.06482 train_acc= 0.15849 val_loss= 2.07849 val_acc= 0.13793 time= 0.01563
Epoch: 0016 train_loss= 2.06348 train_acc= 0.16604 val_loss= 2.07813 val_acc= 0.13793 time= 0.00000
Epoch: 0017 train_loss= 2.06193 train_acc= 0.15849 val_loss= 2.07799 val_acc= 0.13793 time= 0.00000
Epoch: 0018 train_loss= 2.06199 train_acc= 0.14717 val_loss= 2.07803 val_acc= 0.13793 time= 0.01563
Epoch: 0019 train_loss= 2.06254 train_acc= 0.16604 val_loss= 2.07848 val_acc= 0.17241 time= 0.00000
Epoch: 0020 train_loss= 2.06035 train_acc= 0.14340 val_loss= 2.07888 val_acc= 0.13793 time= 0.00000
Epoch: 0021 train_loss= 2.06102 train_acc= 0.13208 val_loss= 2.07941 val_acc= 0.06897 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 2.07325 accuracy= 0.13559 time= 0.00000 
