Epoch: 0001 train_loss= 2.08458 train_acc= 0.12453 val_loss= 2.08658 val_acc= 0.10345 time= 0.58292
Epoch: 0002 train_loss= 2.08353 train_acc= 0.12830 val_loss= 2.08524 val_acc= 0.10345 time= 0.00000
Epoch: 0003 train_loss= 2.08197 train_acc= 0.12453 val_loss= 2.08409 val_acc= 0.13793 time= 0.00000
Epoch: 0004 train_loss= 2.08101 train_acc= 0.14340 val_loss= 2.08314 val_acc= 0.13793 time= 0.01562
Epoch: 0005 train_loss= 2.08047 train_acc= 0.12453 val_loss= 2.08228 val_acc= 0.20690 time= 0.00000
Epoch: 0006 train_loss= 2.07919 train_acc= 0.13208 val_loss= 2.08158 val_acc= 0.20690 time= 0.00000
Epoch: 0007 train_loss= 2.07735 train_acc= 0.16604 val_loss= 2.08092 val_acc= 0.20690 time= 0.01563
Epoch: 0008 train_loss= 2.07761 train_acc= 0.16226 val_loss= 2.08040 val_acc= 0.20690 time= 0.00000
Epoch: 0009 train_loss= 2.07631 train_acc= 0.14340 val_loss= 2.07999 val_acc= 0.20690 time= 0.00000
Epoch: 0010 train_loss= 2.07544 train_acc= 0.16604 val_loss= 2.07959 val_acc= 0.20690 time= 0.01563
Epoch: 0011 train_loss= 2.07440 train_acc= 0.15849 val_loss= 2.07917 val_acc= 0.17241 time= 0.00000
Epoch: 0012 train_loss= 2.07269 train_acc= 0.16226 val_loss= 2.07886 val_acc= 0.17241 time= 0.00000
Epoch: 0013 train_loss= 2.07257 train_acc= 0.13962 val_loss= 2.07863 val_acc= 0.17241 time= 0.01563
Epoch: 0014 train_loss= 2.07300 train_acc= 0.13208 val_loss= 2.07842 val_acc= 0.17241 time= 0.00000
Epoch: 0015 train_loss= 2.07136 train_acc= 0.14340 val_loss= 2.07828 val_acc= 0.17241 time= 0.00000
Epoch: 0016 train_loss= 2.06976 train_acc= 0.14340 val_loss= 2.07826 val_acc= 0.20690 time= 0.01563
Epoch: 0017 train_loss= 2.06999 train_acc= 0.16604 val_loss= 2.07826 val_acc= 0.20690 time= 0.00000
Epoch: 0018 train_loss= 2.06909 train_acc= 0.14340 val_loss= 2.07841 val_acc= 0.20690 time= 0.01563
Epoch: 0019 train_loss= 2.06793 train_acc= 0.14340 val_loss= 2.07856 val_acc= 0.20690 time= 0.00000
Epoch: 0020 train_loss= 2.06770 train_acc= 0.12075 val_loss= 2.07888 val_acc= 0.20690 time= 0.00000
Early stopping...
Optimization Finished!
Test set results: cost= 2.06724 accuracy= 0.16949 time= 0.00000 
