Epoch: 0001 train_loss= 1.39222 train_acc= 0.19544 val_loss= 1.40259 val_acc= 0.12500 time= 0.26564
Epoch: 0002 train_loss= 1.39264 train_acc= 0.19544 val_loss= 1.39908 val_acc= 0.12500 time= 0.00000
Epoch: 0003 train_loss= 1.39098 train_acc= 0.20521 val_loss= 1.39562 val_acc= 0.12500 time= 0.01562
Epoch: 0004 train_loss= 1.38854 train_acc= 0.22476 val_loss= 1.39248 val_acc= 0.25000 time= 0.00000
Epoch: 0005 train_loss= 1.38754 train_acc= 0.26384 val_loss= 1.38950 val_acc= 0.32143 time= 0.00000
Epoch: 0006 train_loss= 1.38478 train_acc= 0.31922 val_loss= 1.38679 val_acc= 0.33929 time= 0.01563
Epoch: 0007 train_loss= 1.38499 train_acc= 0.30293 val_loss= 1.38433 val_acc= 0.33929 time= 0.00000
Epoch: 0008 train_loss= 1.38335 train_acc= 0.32899 val_loss= 1.38212 val_acc= 0.33929 time= 0.01563
Epoch: 0009 train_loss= 1.38269 train_acc= 0.31596 val_loss= 1.38002 val_acc= 0.33929 time= 0.00000
Epoch: 0010 train_loss= 1.38159 train_acc= 0.31596 val_loss= 1.37821 val_acc= 0.33929 time= 0.00000
Epoch: 0011 train_loss= 1.38320 train_acc= 0.31596 val_loss= 1.37647 val_acc= 0.33929 time= 0.01563
Epoch: 0012 train_loss= 1.38154 train_acc= 0.31922 val_loss= 1.37493 val_acc= 0.33929 time= 0.00000
Epoch: 0013 train_loss= 1.38235 train_acc= 0.31922 val_loss= 1.37343 val_acc= 0.33929 time= 0.01563
Epoch: 0014 train_loss= 1.37795 train_acc= 0.32248 val_loss= 1.37201 val_acc= 0.33929 time= 0.00000
Epoch: 0015 train_loss= 1.38002 train_acc= 0.31922 val_loss= 1.37068 val_acc= 0.33929 time= 0.01563
Epoch: 0016 train_loss= 1.37844 train_acc= 0.31922 val_loss= 1.36956 val_acc= 0.33929 time= 0.00000
Epoch: 0017 train_loss= 1.38070 train_acc= 0.31922 val_loss= 1.36852 val_acc= 0.33929 time= 0.00000
Epoch: 0018 train_loss= 1.37773 train_acc= 0.31922 val_loss= 1.36760 val_acc= 0.33929 time= 0.01563
Epoch: 0019 train_loss= 1.37921 train_acc= 0.32248 val_loss= 1.36683 val_acc= 0.33929 time= 0.00000
Epoch: 0020 train_loss= 1.37775 train_acc= 0.31922 val_loss= 1.36616 val_acc= 0.33929 time= 0.01563
Epoch: 0021 train_loss= 1.37721 train_acc= 0.31922 val_loss= 1.36553 val_acc= 0.33929 time= 0.00000
Epoch: 0022 train_loss= 1.37635 train_acc= 0.31922 val_loss= 1.36491 val_acc= 0.33929 time= 0.01563
Epoch: 0023 train_loss= 1.37746 train_acc= 0.31922 val_loss= 1.36436 val_acc= 0.33929 time= 0.00000
Epoch: 0024 train_loss= 1.37740 train_acc= 0.31922 val_loss= 1.36390 val_acc= 0.33929 time= 0.00000
Epoch: 0025 train_loss= 1.37761 train_acc= 0.31922 val_loss= 1.36343 val_acc= 0.33929 time= 0.01562
Epoch: 0026 train_loss= 1.37638 train_acc= 0.31922 val_loss= 1.36293 val_acc= 0.33929 time= 0.00000
Epoch: 0027 train_loss= 1.37661 train_acc= 0.31922 val_loss= 1.36243 val_acc= 0.33929 time= 0.01563
Epoch: 0028 train_loss= 1.37608 train_acc= 0.31922 val_loss= 1.36190 val_acc= 0.33929 time= 0.00000
Epoch: 0029 train_loss= 1.37589 train_acc= 0.31922 val_loss= 1.36150 val_acc= 0.33929 time= 0.00000
Epoch: 0030 train_loss= 1.37862 train_acc= 0.31922 val_loss= 1.36121 val_acc= 0.33929 time= 0.01563
Epoch: 0031 train_loss= 1.37774 train_acc= 0.31922 val_loss= 1.36082 val_acc= 0.33929 time= 0.00000
Epoch: 0032 train_loss= 1.37822 train_acc= 0.31922 val_loss= 1.36046 val_acc= 0.33929 time= 0.01563
Epoch: 0033 train_loss= 1.37513 train_acc= 0.31922 val_loss= 1.36012 val_acc= 0.33929 time= 0.00000
Epoch: 0034 train_loss= 1.37837 train_acc= 0.31922 val_loss= 1.35988 val_acc= 0.33929 time= 0.01563
Epoch: 0035 train_loss= 1.37714 train_acc= 0.32248 val_loss= 1.35967 val_acc= 0.33929 time= 0.00000
Epoch: 0036 train_loss= 1.37598 train_acc= 0.31922 val_loss= 1.35949 val_acc= 0.33929 time= 0.00000
Epoch: 0037 train_loss= 1.37799 train_acc= 0.31922 val_loss= 1.35935 val_acc= 0.33929 time= 0.01563
Epoch: 0038 train_loss= 1.37805 train_acc= 0.31922 val_loss= 1.35922 val_acc= 0.33929 time= 0.00000
Epoch: 0039 train_loss= 1.37788 train_acc= 0.31922 val_loss= 1.35920 val_acc= 0.33929 time= 0.01563
Epoch: 0040 train_loss= 1.37676 train_acc= 0.31922 val_loss= 1.35933 val_acc= 0.33929 time= 0.00000
Epoch: 0041 train_loss= 1.37718 train_acc= 0.31922 val_loss= 1.35947 val_acc= 0.33929 time= 0.01562
Epoch: 0042 train_loss= 1.37578 train_acc= 0.31922 val_loss= 1.35964 val_acc= 0.33929 time= 0.00000
Early stopping...
Optimization Finished!
Test set results: cost= 1.34864 accuracy= 0.36283 time= 0.00000 
