Epoch: 0001 train_loss= 1.39418 train_acc= 0.25419 val_loss= 1.39137 val_acc= 0.30357 time= 0.37502
Epoch: 0002 train_loss= 1.39097 train_acc= 0.29469 val_loss= 1.38913 val_acc= 0.30357 time= 0.01563
Epoch: 0003 train_loss= 1.38840 train_acc= 0.31564 val_loss= 1.38760 val_acc= 0.30357 time= 0.01563
Epoch: 0004 train_loss= 1.38631 train_acc= 0.31145 val_loss= 1.38667 val_acc= 0.30357 time= 0.01563
Epoch: 0005 train_loss= 1.38485 train_acc= 0.31285 val_loss= 1.38623 val_acc= 0.30357 time= 0.01563
Epoch: 0006 train_loss= 1.38380 train_acc= 0.31285 val_loss= 1.38598 val_acc= 0.30357 time= 0.01563
Epoch: 0007 train_loss= 1.38318 train_acc= 0.31285 val_loss= 1.38580 val_acc= 0.30357 time= 0.01563
Epoch: 0008 train_loss= 1.38263 train_acc= 0.31285 val_loss= 1.38568 val_acc= 0.30357 time= 0.01562
Epoch: 0009 train_loss= 1.38203 train_acc= 0.31285 val_loss= 1.38561 val_acc= 0.30357 time= 0.01563
Epoch: 0010 train_loss= 1.38204 train_acc= 0.31285 val_loss= 1.38549 val_acc= 0.30357 time= 0.01563
Epoch: 0011 train_loss= 1.38150 train_acc= 0.31285 val_loss= 1.38539 val_acc= 0.30357 time= 0.01563
Epoch: 0012 train_loss= 1.38120 train_acc= 0.31285 val_loss= 1.38529 val_acc= 0.30357 time= 0.01563
Epoch: 0013 train_loss= 1.38110 train_acc= 0.31285 val_loss= 1.38509 val_acc= 0.30357 time= 0.01563
Epoch: 0014 train_loss= 1.38122 train_acc= 0.31285 val_loss= 1.38488 val_acc= 0.30357 time= 0.01563
Epoch: 0015 train_loss= 1.38055 train_acc= 0.31285 val_loss= 1.38465 val_acc= 0.30357 time= 0.01563
Epoch: 0016 train_loss= 1.38055 train_acc= 0.31285 val_loss= 1.38449 val_acc= 0.30357 time= 0.01563
Epoch: 0017 train_loss= 1.38014 train_acc= 0.31285 val_loss= 1.38427 val_acc= 0.30357 time= 0.01563
Epoch: 0018 train_loss= 1.37975 train_acc= 0.31285 val_loss= 1.38402 val_acc= 0.30357 time= 0.01563
Epoch: 0019 train_loss= 1.37968 train_acc= 0.31285 val_loss= 1.38375 val_acc= 0.30357 time= 0.01563
Epoch: 0020 train_loss= 1.37923 train_acc= 0.31285 val_loss= 1.38348 val_acc= 0.30357 time= 0.01563
Epoch: 0021 train_loss= 1.37914 train_acc= 0.31285 val_loss= 1.38323 val_acc= 0.30357 time= 0.01563
Epoch: 0022 train_loss= 1.37836 train_acc= 0.31285 val_loss= 1.38299 val_acc= 0.30357 time= 0.01563
Epoch: 0023 train_loss= 1.37857 train_acc= 0.31285 val_loss= 1.38280 val_acc= 0.30357 time= 0.01563
Epoch: 0024 train_loss= 1.37849 train_acc= 0.31285 val_loss= 1.38263 val_acc= 0.30357 time= 0.01563
Epoch: 0025 train_loss= 1.37834 train_acc= 0.31285 val_loss= 1.38236 val_acc= 0.30357 time= 0.01563
Epoch: 0026 train_loss= 1.37803 train_acc= 0.31285 val_loss= 1.38207 val_acc= 0.30357 time= 0.01563
Epoch: 0027 train_loss= 1.37766 train_acc= 0.31285 val_loss= 1.38187 val_acc= 0.30357 time= 0.01563
Epoch: 0028 train_loss= 1.37772 train_acc= 0.31285 val_loss= 1.38167 val_acc= 0.30357 time= 0.01563
Epoch: 0029 train_loss= 1.37761 train_acc= 0.31285 val_loss= 1.38132 val_acc= 0.30357 time= 0.01563
Epoch: 0030 train_loss= 1.37747 train_acc= 0.31285 val_loss= 1.38090 val_acc= 0.30357 time= 0.01563
Epoch: 0031 train_loss= 1.37704 train_acc= 0.31285 val_loss= 1.38075 val_acc= 0.30357 time= 0.01563
Epoch: 0032 train_loss= 1.37679 train_acc= 0.31285 val_loss= 1.38067 val_acc= 0.30357 time= 0.01563
Epoch: 0033 train_loss= 1.37705 train_acc= 0.31285 val_loss= 1.38048 val_acc= 0.30357 time= 0.01563
Epoch: 0034 train_loss= 1.37703 train_acc= 0.31285 val_loss= 1.38025 val_acc= 0.30357 time= 0.01563
Epoch: 0035 train_loss= 1.37630 train_acc= 0.31285 val_loss= 1.37989 val_acc= 0.30357 time= 0.01563
Epoch: 0036 train_loss= 1.37666 train_acc= 0.31285 val_loss= 1.37957 val_acc= 0.30357 time= 0.01563
Epoch: 0037 train_loss= 1.37680 train_acc= 0.31285 val_loss= 1.37918 val_acc= 0.30357 time= 0.01563
Epoch: 0038 train_loss= 1.37642 train_acc= 0.31285 val_loss= 1.37884 val_acc= 0.30357 time= 0.01563
Epoch: 0039 train_loss= 1.37637 train_acc= 0.31285 val_loss= 1.37883 val_acc= 0.30357 time= 0.01563
Epoch: 0040 train_loss= 1.37621 train_acc= 0.31285 val_loss= 1.37883 val_acc= 0.30357 time= 0.01563
Epoch: 0041 train_loss= 1.37600 train_acc= 0.31285 val_loss= 1.37885 val_acc= 0.30357 time= 0.01563
Epoch: 0042 train_loss= 1.37619 train_acc= 0.31285 val_loss= 1.37882 val_acc= 0.30357 time= 0.01563
Epoch: 0043 train_loss= 1.37607 train_acc= 0.31285 val_loss= 1.37863 val_acc= 0.30357 time= 0.01563
Epoch: 0044 train_loss= 1.37633 train_acc= 0.31285 val_loss= 1.37856 val_acc= 0.30357 time= 0.01563
Epoch: 0045 train_loss= 1.37587 train_acc= 0.31285 val_loss= 1.37829 val_acc= 0.30357 time= 0.01563
Epoch: 0046 train_loss= 1.37572 train_acc= 0.31285 val_loss= 1.37798 val_acc= 0.30357 time= 0.01563
Epoch: 0047 train_loss= 1.37604 train_acc= 0.31285 val_loss= 1.37784 val_acc= 0.30357 time= 0.01563
Epoch: 0048 train_loss= 1.37608 train_acc= 0.31285 val_loss= 1.37786 val_acc= 0.30357 time= 0.01563
Epoch: 0049 train_loss= 1.37589 train_acc= 0.31285 val_loss= 1.37778 val_acc= 0.30357 time= 0.01563
Epoch: 0050 train_loss= 1.37556 train_acc= 0.31285 val_loss= 1.37797 val_acc= 0.30357 time= 0.01563
Epoch: 0051 train_loss= 1.37549 train_acc= 0.31285 val_loss= 1.37819 val_acc= 0.30357 time= 0.01563
Epoch: 0052 train_loss= 1.37559 train_acc= 0.31285 val_loss= 1.37776 val_acc= 0.30357 time= 0.01563
Epoch: 0053 train_loss= 1.37543 train_acc= 0.31285 val_loss= 1.37713 val_acc= 0.30357 time= 0.01563
Epoch: 0054 train_loss= 1.37531 train_acc= 0.31285 val_loss= 1.37687 val_acc= 0.30357 time= 0.01563
Epoch: 0055 train_loss= 1.37531 train_acc= 0.31285 val_loss= 1.37709 val_acc= 0.30357 time= 0.01563
Epoch: 0056 train_loss= 1.37580 train_acc= 0.31285 val_loss= 1.37725 val_acc= 0.30357 time= 0.01563
Epoch: 0057 train_loss= 1.37509 train_acc= 0.31285 val_loss= 1.37723 val_acc= 0.30357 time= 0.01563
Epoch: 0058 train_loss= 1.37512 train_acc= 0.31285 val_loss= 1.37709 val_acc= 0.30357 time= 0.01563
Epoch: 0059 train_loss= 1.37495 train_acc= 0.31285 val_loss= 1.37705 val_acc= 0.30357 time= 0.01563
Epoch: 0060 train_loss= 1.37528 train_acc= 0.31285 val_loss= 1.37736 val_acc= 0.30357 time= 0.01563
Epoch: 0061 train_loss= 1.37456 train_acc= 0.31285 val_loss= 1.37705 val_acc= 0.30357 time= 0.01563
Epoch: 0062 train_loss= 1.37472 train_acc= 0.31285 val_loss= 1.37673 val_acc= 0.30357 time= 0.01563
Epoch: 0063 train_loss= 1.37471 train_acc= 0.31285 val_loss= 1.37598 val_acc= 0.30357 time= 0.01563
Epoch: 0064 train_loss= 1.37486 train_acc= 0.31285 val_loss= 1.37630 val_acc= 0.30357 time= 0.01563
Epoch: 0065 train_loss= 1.37458 train_acc= 0.31285 val_loss= 1.37698 val_acc= 0.30357 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 1.37470 accuracy= 0.29204 time= 0.01563 
