Epoch: 0001 train_loss= 1.37587 train_acc= 0.46364 val_loss= 0.87301 val_acc= 0.45902 time= 0.20314
Epoch: 0002 train_loss= 1.37119 train_acc= 0.45455 val_loss= 0.78333 val_acc= 0.47541 time= 0.00000
Epoch: 0003 train_loss= 1.00416 train_acc= 0.46000 val_loss= 0.73784 val_acc= 0.39344 time= 0.01563
Epoch: 0004 train_loss= 0.88211 train_acc= 0.52000 val_loss= 0.72860 val_acc= 0.44262 time= 0.01562
Epoch: 0005 train_loss= 0.80295 train_acc= 0.48364 val_loss= 0.72146 val_acc= 0.45902 time= 0.01563
Epoch: 0006 train_loss= 0.84067 train_acc= 0.47818 val_loss= 0.72089 val_acc= 0.50820 time= 0.01563
Epoch: 0007 train_loss= 0.75023 train_acc= 0.53636 val_loss= 0.72637 val_acc= 0.50820 time= 0.01563
Epoch: 0008 train_loss= 1.12171 train_acc= 0.53636 val_loss= 0.72670 val_acc= 0.50820 time= 0.01563
Epoch: 0009 train_loss= 0.72433 train_acc= 0.53091 val_loss= 0.72632 val_acc= 0.52459 time= 0.01562
Epoch: 0010 train_loss= 0.76000 train_acc= 0.53091 val_loss= 0.72360 val_acc= 0.50820 time= 0.00000
Epoch: 0011 train_loss= 0.82483 train_acc= 0.53636 val_loss= 0.71892 val_acc= 0.50820 time= 0.01563
Epoch: 0012 train_loss= 0.77322 train_acc= 0.53455 val_loss= 0.71601 val_acc= 0.52459 time= 0.01563
Epoch: 0013 train_loss= 0.71697 train_acc= 0.47818 val_loss= 0.71476 val_acc= 0.49180 time= 0.01563
Epoch: 0014 train_loss= 0.78287 train_acc= 0.46727 val_loss= 0.71374 val_acc= 0.49180 time= 0.01563
Epoch: 0015 train_loss= 0.72640 train_acc= 0.54000 val_loss= 0.71289 val_acc= 0.47541 time= 0.01563
Epoch: 0016 train_loss= 0.75512 train_acc= 0.52364 val_loss= 0.71176 val_acc= 0.47541 time= 0.01563
Epoch: 0017 train_loss= 0.73475 train_acc= 0.53818 val_loss= 0.71085 val_acc= 0.45902 time= 0.01563
Epoch: 0018 train_loss= 1.00958 train_acc= 0.50000 val_loss= 0.70973 val_acc= 0.47541 time= 0.00000
Epoch: 0019 train_loss= 0.72260 train_acc= 0.51455 val_loss= 0.70943 val_acc= 0.50820 time= 0.01563
Epoch: 0020 train_loss= 0.73150 train_acc= 0.52909 val_loss= 0.70962 val_acc= 0.49180 time= 0.01563
Epoch: 0021 train_loss= 0.73946 train_acc= 0.53818 val_loss= 0.70990 val_acc= 0.50820 time= 0.01563
Epoch: 0022 train_loss= 0.77686 train_acc= 0.51818 val_loss= 0.70970 val_acc= 0.50820 time= 0.01563
Epoch: 0023 train_loss= 0.70229 train_acc= 0.52000 val_loss= 0.70951 val_acc= 0.50820 time= 0.01563
Epoch: 0024 train_loss= 0.80953 train_acc= 0.51455 val_loss= 0.70881 val_acc= 0.50820 time= 0.01563
Epoch: 0025 train_loss= 0.75801 train_acc= 0.54727 val_loss= 0.70775 val_acc= 0.50820 time= 0.01563
Epoch: 0026 train_loss= 0.73620 train_acc= 0.52909 val_loss= 0.70673 val_acc= 0.50820 time= 0.00000
Epoch: 0027 train_loss= 0.69792 train_acc= 0.54182 val_loss= 0.70619 val_acc= 0.49180 time= 0.01563
Epoch: 0028 train_loss= 0.72580 train_acc= 0.52545 val_loss= 0.70601 val_acc= 0.47541 time= 0.01563
Epoch: 0029 train_loss= 0.71856 train_acc= 0.53091 val_loss= 0.70608 val_acc= 0.44262 time= 0.01563
Epoch: 0030 train_loss= 0.71497 train_acc= 0.54545 val_loss= 0.70639 val_acc= 0.47541 time= 0.01563
Epoch: 0031 train_loss= 0.78820 train_acc= 0.48727 val_loss= 0.70639 val_acc= 0.49180 time= 0.01562
Epoch: 0032 train_loss= 0.74544 train_acc= 0.50909 val_loss= 0.70587 val_acc= 0.47541 time= 0.01563
Epoch: 0033 train_loss= 0.77397 train_acc= 0.53455 val_loss= 0.70595 val_acc= 0.47541 time= 0.01562
Epoch: 0034 train_loss= 0.74073 train_acc= 0.48545 val_loss= 0.70572 val_acc= 0.49180 time= 0.00000
Epoch: 0035 train_loss= 0.70915 train_acc= 0.54000 val_loss= 0.70557 val_acc= 0.45902 time= 0.01563
Epoch: 0036 train_loss= 0.70039 train_acc= 0.52364 val_loss= 0.70554 val_acc= 0.44262 time= 0.01563
Epoch: 0037 train_loss= 0.71101 train_acc= 0.54364 val_loss= 0.70572 val_acc= 0.42623 time= 0.01563
Epoch: 0038 train_loss= 0.70413 train_acc= 0.52545 val_loss= 0.70577 val_acc= 0.40984 time= 0.01563
Epoch: 0039 train_loss= 0.69825 train_acc= 0.52909 val_loss= 0.70579 val_acc= 0.42623 time= 0.01563
Epoch: 0040 train_loss= 0.77980 train_acc= 0.54182 val_loss= 0.70599 val_acc= 0.44262 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 0.71025 accuracy= 0.50000 time= 0.00000 
