Epoch: 0001 train_loss= 1.39153 train_acc= 0.25407 val_loss= 1.38785 val_acc= 0.25000 time= 0.10939
Epoch: 0002 train_loss= 1.38938 train_acc= 0.26384 val_loss= 1.38484 val_acc= 0.25000 time= 0.01562
Epoch: 0003 train_loss= 1.38777 train_acc= 0.26384 val_loss= 1.38182 val_acc= 0.25000 time= 0.01563
Epoch: 0004 train_loss= 1.38646 train_acc= 0.23779 val_loss= 1.37869 val_acc= 0.36667 time= 0.02034
Epoch: 0005 train_loss= 1.38412 train_acc= 0.31596 val_loss= 1.37546 val_acc= 0.36667 time= 0.01100
Epoch: 0006 train_loss= 1.38236 train_acc= 0.28664 val_loss= 1.37212 val_acc= 0.36667 time= 0.00000
Epoch: 0007 train_loss= 1.38095 train_acc= 0.30293 val_loss= 1.36869 val_acc= 0.36667 time= 0.01563
Epoch: 0008 train_loss= 1.37922 train_acc= 0.30293 val_loss= 1.36520 val_acc= 0.36667 time= 0.01563
Epoch: 0009 train_loss= 1.37658 train_acc= 0.31596 val_loss= 1.36167 val_acc= 0.36667 time= 0.01563
Epoch: 0010 train_loss= 1.37632 train_acc= 0.31270 val_loss= 1.35820 val_acc= 0.36667 time= 0.01563
Epoch: 0011 train_loss= 1.37441 train_acc= 0.31270 val_loss= 1.35485 val_acc= 0.36667 time= 0.01563
Epoch: 0012 train_loss= 1.37420 train_acc= 0.31270 val_loss= 1.35156 val_acc= 0.36667 time= 0.01563
Epoch: 0013 train_loss= 1.37276 train_acc= 0.31270 val_loss= 1.34841 val_acc= 0.36667 time= 0.01563
Epoch: 0014 train_loss= 1.37157 train_acc= 0.31270 val_loss= 1.34549 val_acc= 0.36667 time= 0.01563
Epoch: 0015 train_loss= 1.37199 train_acc= 0.31270 val_loss= 1.34295 val_acc= 0.36667 time= 0.01563
Epoch: 0016 train_loss= 1.37145 train_acc= 0.31270 val_loss= 1.34056 val_acc= 0.36667 time= 0.01563
Epoch: 0017 train_loss= 1.37113 train_acc= 0.31270 val_loss= 1.33852 val_acc= 0.36667 time= 0.01562
Epoch: 0018 train_loss= 1.37254 train_acc= 0.31270 val_loss= 1.33716 val_acc= 0.36667 time= 0.00000
Epoch: 0019 train_loss= 1.37161 train_acc= 0.31270 val_loss= 1.33632 val_acc= 0.36667 time= 0.01563
Epoch: 0020 train_loss= 1.37084 train_acc= 0.31270 val_loss= 1.33577 val_acc= 0.36667 time= 0.01563
Epoch: 0021 train_loss= 1.37075 train_acc= 0.31270 val_loss= 1.33545 val_acc= 0.36667 time= 0.01563
Epoch: 0022 train_loss= 1.36954 train_acc= 0.31270 val_loss= 1.33540 val_acc= 0.36667 time= 0.01563
Epoch: 0023 train_loss= 1.37116 train_acc= 0.31270 val_loss= 1.33566 val_acc= 0.36667 time= 0.01563
Epoch: 0024 train_loss= 1.37167 train_acc= 0.31270 val_loss= 1.33614 val_acc= 0.36667 time= 0.01563
Epoch: 0025 train_loss= 1.36993 train_acc= 0.31270 val_loss= 1.33676 val_acc= 0.36667 time= 0.01563
Epoch: 0026 train_loss= 1.37147 train_acc= 0.31270 val_loss= 1.33758 val_acc= 0.36667 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 1.38140 accuracy= 0.31667 time= 0.00000 
