Epoch: 0001 train_loss= 1.39322 train_acc= 0.24721 val_loss= 1.39019 val_acc= 0.28571 time= 0.28127
Epoch: 0002 train_loss= 1.39454 train_acc= 0.29749 val_loss= 1.38943 val_acc= 0.33929 time= 0.03125
Epoch: 0003 train_loss= 1.39115 train_acc= 0.27933 val_loss= 1.38777 val_acc= 0.39286 time= 0.01563
Epoch: 0004 train_loss= 1.38380 train_acc= 0.31564 val_loss= 1.38379 val_acc= 0.41071 time= 0.02012
Epoch: 0005 train_loss= 1.38617 train_acc= 0.30447 val_loss= 1.37927 val_acc= 0.41071 time= 0.01243
Epoch: 0006 train_loss= 1.38306 train_acc= 0.30726 val_loss= 1.37736 val_acc= 0.41071 time= 0.01562
Epoch: 0007 train_loss= 1.38451 train_acc= 0.31704 val_loss= 1.37470 val_acc= 0.41071 time= 0.01563
Epoch: 0008 train_loss= 1.39290 train_acc= 0.28352 val_loss= 1.37236 val_acc= 0.41071 time= 0.03125
Epoch: 0009 train_loss= 1.38527 train_acc= 0.31145 val_loss= 1.37123 val_acc= 0.41071 time= 0.01563
Epoch: 0010 train_loss= 1.39200 train_acc= 0.31145 val_loss= 1.37121 val_acc= 0.41071 time= 0.01563
Epoch: 0011 train_loss= 1.38886 train_acc= 0.30587 val_loss= 1.37129 val_acc= 0.41071 time= 0.03125
Epoch: 0012 train_loss= 1.38326 train_acc= 0.31006 val_loss= 1.37164 val_acc= 0.41071 time= 0.01563
Epoch: 0013 train_loss= 1.38437 train_acc= 0.29050 val_loss= 1.37195 val_acc= 0.41071 time= 0.01562
Epoch: 0014 train_loss= 1.38488 train_acc= 0.30447 val_loss= 1.37149 val_acc= 0.41071 time= 0.01562
Epoch: 0015 train_loss= 1.38143 train_acc= 0.31006 val_loss= 1.37079 val_acc= 0.41071 time= 0.01563
Epoch: 0016 train_loss= 1.38562 train_acc= 0.31006 val_loss= 1.37094 val_acc= 0.41071 time= 0.01563
Epoch: 0017 train_loss= 1.38457 train_acc= 0.29749 val_loss= 1.37051 val_acc= 0.41071 time= 0.01563
Epoch: 0018 train_loss= 1.37991 train_acc= 0.30866 val_loss= 1.37051 val_acc= 0.41071 time= 0.03125
Epoch: 0019 train_loss= 1.38399 train_acc= 0.31145 val_loss= 1.37058 val_acc= 0.41071 time= 0.01563
Epoch: 0020 train_loss= 1.38129 train_acc= 0.31704 val_loss= 1.37101 val_acc= 0.41071 time= 0.01563
Epoch: 0021 train_loss= 1.38200 train_acc= 0.29888 val_loss= 1.37149 val_acc= 0.41071 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 1.38050 accuracy= 0.30088 time= 0.01563 
