Epoch: 0001 train_loss= 1.38882 train_acc= 0.25000 val_loss= 1.39122 val_acc= 0.19643 time= 0.48489
Epoch: 0002 train_loss= 1.38691 train_acc= 0.25000 val_loss= 1.38946 val_acc= 0.19643 time= 0.01562
Epoch: 0003 train_loss= 1.38554 train_acc= 0.26172 val_loss= 1.38785 val_acc= 0.19643 time= 0.00000
Epoch: 0004 train_loss= 1.38390 train_acc= 0.25586 val_loss= 1.38635 val_acc= 0.32143 time= 0.01563
Epoch: 0005 train_loss= 1.38236 train_acc= 0.26758 val_loss= 1.38492 val_acc= 0.32143 time= 0.00000
Epoch: 0006 train_loss= 1.38187 train_acc= 0.30664 val_loss= 1.38351 val_acc= 0.32143 time= 0.01563
Epoch: 0007 train_loss= 1.38146 train_acc= 0.31445 val_loss= 1.38210 val_acc= 0.32143 time= 0.00000
Epoch: 0008 train_loss= 1.37930 train_acc= 0.31055 val_loss= 1.38070 val_acc= 0.32143 time= 0.01563
Epoch: 0009 train_loss= 1.37980 train_acc= 0.30664 val_loss= 1.37933 val_acc= 0.32143 time= 0.00000
Epoch: 0010 train_loss= 1.37756 train_acc= 0.30859 val_loss= 1.37797 val_acc= 0.32143 time= 0.00000
Epoch: 0011 train_loss= 1.37755 train_acc= 0.30859 val_loss= 1.37669 val_acc= 0.32143 time= 0.01563
Epoch: 0012 train_loss= 1.37706 train_acc= 0.30859 val_loss= 1.37557 val_acc= 0.32143 time= 0.00000
Epoch: 0013 train_loss= 1.37652 train_acc= 0.30859 val_loss= 1.37463 val_acc= 0.32143 time= 0.01562
Epoch: 0014 train_loss= 1.37771 train_acc= 0.30859 val_loss= 1.37397 val_acc= 0.32143 time= 0.00000
Epoch: 0015 train_loss= 1.37743 train_acc= 0.30859 val_loss= 1.37369 val_acc= 0.32143 time= 0.01563
Epoch: 0016 train_loss= 1.37707 train_acc= 0.30859 val_loss= 1.37349 val_acc= 0.32143 time= 0.00000
Epoch: 0017 train_loss= 1.37905 train_acc= 0.30859 val_loss= 1.37345 val_acc= 0.32143 time= 0.00000
Epoch: 0018 train_loss= 1.37700 train_acc= 0.30859 val_loss= 1.37357 val_acc= 0.32143 time= 0.01563
Epoch: 0019 train_loss= 1.37849 train_acc= 0.30859 val_loss= 1.37377 val_acc= 0.32143 time= 0.00000
Epoch: 0020 train_loss= 1.37736 train_acc= 0.30859 val_loss= 1.37403 val_acc= 0.32143 time= 0.01563
Epoch: 0021 train_loss= 1.37721 train_acc= 0.30859 val_loss= 1.37430 val_acc= 0.32143 time= 0.00000
Early stopping...
Optimization Finished!
Test set results: cost= 1.37503 accuracy= 0.29204 time= 0.00000 
