Epoch: 0001 train_loss= 2.09577 train_acc= 0.15472 val_loss= 2.08453 val_acc= 0.20690 time= 0.41910
Epoch: 0002 train_loss= 2.08932 train_acc= 0.15094 val_loss= 2.07320 val_acc= 0.20690 time= 0.00800
Epoch: 0003 train_loss= 2.08318 train_acc= 0.16981 val_loss= 2.06565 val_acc= 0.20690 time= 0.00800
Epoch: 0004 train_loss= 2.07454 train_acc= 0.16981 val_loss= 2.06200 val_acc= 0.20690 time= 0.00700
Epoch: 0005 train_loss= 2.07046 train_acc= 0.16604 val_loss= 2.05964 val_acc= 0.20690 time= 0.00900
Epoch: 0006 train_loss= 2.05566 train_acc= 0.17736 val_loss= 2.05743 val_acc= 0.20690 time= 0.00900
Epoch: 0007 train_loss= 2.06189 train_acc= 0.17358 val_loss= 2.05620 val_acc= 0.20690 time= 0.00800
Epoch: 0008 train_loss= 2.06478 train_acc= 0.16226 val_loss= 2.05605 val_acc= 0.20690 time= 0.00800
Epoch: 0009 train_loss= 2.05167 train_acc= 0.14717 val_loss= 2.05560 val_acc= 0.17241 time= 0.00700
Epoch: 0010 train_loss= 2.04936 train_acc= 0.17358 val_loss= 2.05535 val_acc= 0.17241 time= 0.00800
Epoch: 0011 train_loss= 2.04937 train_acc= 0.16226 val_loss= 2.05403 val_acc= 0.17241 time= 0.00800
Epoch: 0012 train_loss= 2.04650 train_acc= 0.15849 val_loss= 2.05294 val_acc= 0.13793 time= 0.00900
Epoch: 0013 train_loss= 2.03836 train_acc= 0.17358 val_loss= 2.05207 val_acc= 0.20690 time= 0.00800
Epoch: 0014 train_loss= 2.03735 train_acc= 0.17736 val_loss= 2.05112 val_acc= 0.20690 time= 0.00800
Epoch: 0015 train_loss= 2.03189 train_acc= 0.18113 val_loss= 2.04977 val_acc= 0.17241 time= 0.00800
Epoch: 0016 train_loss= 2.03672 train_acc= 0.18113 val_loss= 2.04837 val_acc= 0.13793 time= 0.00700
Epoch: 0017 train_loss= 2.04065 train_acc= 0.18113 val_loss= 2.04719 val_acc= 0.13793 time= 0.00800
Epoch: 0018 train_loss= 2.03668 train_acc= 0.17736 val_loss= 2.04771 val_acc= 0.13793 time= 0.01000
Epoch: 0019 train_loss= 2.03455 train_acc= 0.18868 val_loss= 2.04873 val_acc= 0.13793 time= 0.01000
Epoch: 0020 train_loss= 2.03238 train_acc= 0.18113 val_loss= 2.04887 val_acc= 0.13793 time= 0.00900
Epoch: 0021 train_loss= 2.03982 train_acc= 0.18113 val_loss= 2.05097 val_acc= 0.13793 time= 0.00700
Early stopping...
Optimization Finished!
Test set results: cost= 2.12065 accuracy= 0.08475 time= 0.00400 
