Epoch: 0001 train_loss= 2.08476 train_acc= 0.11698 val_loss= 2.08671 val_acc= 0.06897 time= 0.22141
Epoch: 0002 train_loss= 2.08369 train_acc= 0.16604 val_loss= 2.08746 val_acc= 0.06897 time= 0.01568
Epoch: 0003 train_loss= 2.08234 train_acc= 0.18868 val_loss= 2.08817 val_acc= 0.06897 time= 0.01563
Epoch: 0004 train_loss= 2.08105 train_acc= 0.18868 val_loss= 2.08850 val_acc= 0.06897 time= 0.00000
Epoch: 0005 train_loss= 2.07969 train_acc= 0.18868 val_loss= 2.08844 val_acc= 0.06897 time= 0.01563
Epoch: 0006 train_loss= 2.07835 train_acc= 0.18868 val_loss= 2.08831 val_acc= 0.06897 time= 0.01563
Epoch: 0007 train_loss= 2.07683 train_acc= 0.18868 val_loss= 2.08807 val_acc= 0.06897 time= 0.00000
Epoch: 0008 train_loss= 2.07503 train_acc= 0.18868 val_loss= 2.08770 val_acc= 0.06897 time= 0.01562
Epoch: 0009 train_loss= 2.07308 train_acc= 0.18868 val_loss= 2.08721 val_acc= 0.06897 time= 0.01563
Epoch: 0010 train_loss= 2.07135 train_acc= 0.18868 val_loss= 2.08662 val_acc= 0.06897 time= 0.00000
Epoch: 0011 train_loss= 2.06987 train_acc= 0.18868 val_loss= 2.08595 val_acc= 0.06897 time= 0.01563
Epoch: 0012 train_loss= 2.06857 train_acc= 0.18868 val_loss= 2.08519 val_acc= 0.06897 time= 0.01563
Epoch: 0013 train_loss= 2.06816 train_acc= 0.18868 val_loss= 2.08429 val_acc= 0.06897 time= 0.00000
Epoch: 0014 train_loss= 2.06570 train_acc= 0.18868 val_loss= 2.08334 val_acc= 0.06897 time= 0.01563
Epoch: 0015 train_loss= 2.06513 train_acc= 0.18868 val_loss= 2.08244 val_acc= 0.06897 time= 0.01563
Epoch: 0016 train_loss= 2.06351 train_acc= 0.18868 val_loss= 2.08155 val_acc= 0.06897 time= 0.00000
Epoch: 0017 train_loss= 2.06284 train_acc= 0.18868 val_loss= 2.08070 val_acc= 0.06897 time= 0.01563
Epoch: 0018 train_loss= 2.06162 train_acc= 0.18868 val_loss= 2.08001 val_acc= 0.06897 time= 0.01563
Epoch: 0019 train_loss= 2.06090 train_acc= 0.18868 val_loss= 2.07927 val_acc= 0.06897 time= 0.01213
Epoch: 0020 train_loss= 2.06106 train_acc= 0.18868 val_loss= 2.07840 val_acc= 0.06897 time= 0.00706
Epoch: 0021 train_loss= 2.05920 train_acc= 0.18868 val_loss= 2.07752 val_acc= 0.06897 time= 0.00000
Epoch: 0022 train_loss= 2.06035 train_acc= 0.18868 val_loss= 2.07660 val_acc= 0.06897 time= 0.01563
Epoch: 0023 train_loss= 2.05983 train_acc= 0.18868 val_loss= 2.07551 val_acc= 0.06897 time= 0.01563
Epoch: 0024 train_loss= 2.05912 train_acc= 0.18868 val_loss= 2.07450 val_acc= 0.06897 time= 0.00000
Epoch: 0025 train_loss= 2.06020 train_acc= 0.18868 val_loss= 2.07354 val_acc= 0.06897 time= 0.01563
Epoch: 0026 train_loss= 2.06003 train_acc= 0.18868 val_loss= 2.07253 val_acc= 0.06897 time= 0.01563
Epoch: 0027 train_loss= 2.05940 train_acc= 0.18868 val_loss= 2.07154 val_acc= 0.06897 time= 0.00000
Epoch: 0028 train_loss= 2.05747 train_acc= 0.18868 val_loss= 2.07057 val_acc= 0.06897 time= 0.00000
Epoch: 0029 train_loss= 2.05783 train_acc= 0.18868 val_loss= 2.06964 val_acc= 0.06897 time= 0.01563
Epoch: 0030 train_loss= 2.05854 train_acc= 0.18868 val_loss= 2.06862 val_acc= 0.06897 time= 0.01563
Epoch: 0031 train_loss= 2.05835 train_acc= 0.18868 val_loss= 2.06740 val_acc= 0.06897 time= 0.00000
Epoch: 0032 train_loss= 2.05753 train_acc= 0.18868 val_loss= 2.06648 val_acc= 0.06897 time= 0.01563
Epoch: 0033 train_loss= 2.05765 train_acc= 0.18868 val_loss= 2.06589 val_acc= 0.06897 time= 0.01563
Epoch: 0034 train_loss= 2.05843 train_acc= 0.18868 val_loss= 2.06543 val_acc= 0.06897 time= 0.00000
Epoch: 0035 train_loss= 2.05738 train_acc= 0.18868 val_loss= 2.06529 val_acc= 0.06897 time= 0.01563
Epoch: 0036 train_loss= 2.05767 train_acc= 0.18868 val_loss= 2.06537 val_acc= 0.06897 time= 0.01563
Epoch: 0037 train_loss= 2.05721 train_acc= 0.18868 val_loss= 2.06567 val_acc= 0.06897 time= 0.00000
Epoch: 0038 train_loss= 2.05766 train_acc= 0.18868 val_loss= 2.06606 val_acc= 0.06897 time= 0.01563
Epoch: 0039 train_loss= 2.05855 train_acc= 0.18868 val_loss= 2.06642 val_acc= 0.06897 time= 0.01563
Epoch: 0040 train_loss= 2.05779 train_acc= 0.18868 val_loss= 2.06655 val_acc= 0.06897 time= 0.00000
Early stopping...
Optimization Finished!
Test set results: cost= 2.08607 accuracy= 0.13559 time= 0.01563 
