Epoch: 0001 train_loss= 1.39400 train_acc= 0.31425 val_loss= 1.38969 val_acc= 0.30357 time= 0.34611
Epoch: 0002 train_loss= 1.38985 train_acc= 0.31425 val_loss= 1.38574 val_acc= 0.30357 time= 0.01562
Epoch: 0003 train_loss= 1.38600 train_acc= 0.31425 val_loss= 1.38252 val_acc= 0.30357 time= 0.01563
Epoch: 0004 train_loss= 1.38287 train_acc= 0.31425 val_loss= 1.38015 val_acc= 0.30357 time= 0.01563
Epoch: 0005 train_loss= 1.38062 train_acc= 0.31425 val_loss= 1.37855 val_acc= 0.30357 time= 0.01563
Epoch: 0006 train_loss= 1.37914 train_acc= 0.31425 val_loss= 1.37753 val_acc= 0.30357 time= 0.01563
Epoch: 0007 train_loss= 1.37817 train_acc= 0.31425 val_loss= 1.37687 val_acc= 0.30357 time= 0.01563
Epoch: 0008 train_loss= 1.37741 train_acc= 0.31425 val_loss= 1.37633 val_acc= 0.30357 time= 0.01563
Epoch: 0009 train_loss= 1.37730 train_acc= 0.31425 val_loss= 1.37598 val_acc= 0.30357 time= 0.01563
Epoch: 0010 train_loss= 1.37734 train_acc= 0.31425 val_loss= 1.37564 val_acc= 0.30357 time= 0.01563
Epoch: 0011 train_loss= 1.37711 train_acc= 0.31425 val_loss= 1.37523 val_acc= 0.30357 time= 0.01563
Epoch: 0012 train_loss= 1.37709 train_acc= 0.31425 val_loss= 1.37462 val_acc= 0.30357 time= 0.01563
Epoch: 0013 train_loss= 1.37707 train_acc= 0.31425 val_loss= 1.37384 val_acc= 0.30357 time= 0.01563
Epoch: 0014 train_loss= 1.37704 train_acc= 0.31425 val_loss= 1.37313 val_acc= 0.30357 time= 0.01563
Epoch: 0015 train_loss= 1.37647 train_acc= 0.31425 val_loss= 1.37257 val_acc= 0.30357 time= 0.01563
Epoch: 0016 train_loss= 1.37574 train_acc= 0.31425 val_loss= 1.37207 val_acc= 0.30357 time= 0.01563
Epoch: 0017 train_loss= 1.37489 train_acc= 0.31425 val_loss= 1.37154 val_acc= 0.30357 time= 0.01563
Epoch: 0018 train_loss= 1.37510 train_acc= 0.31425 val_loss= 1.37120 val_acc= 0.30357 time= 0.01563
Epoch: 0019 train_loss= 1.37440 train_acc= 0.31425 val_loss= 1.37093 val_acc= 0.30357 time= 0.01563
Epoch: 0020 train_loss= 1.37478 train_acc= 0.31425 val_loss= 1.37077 val_acc= 0.30357 time= 0.01563
Epoch: 0021 train_loss= 1.37448 train_acc= 0.31425 val_loss= 1.37057 val_acc= 0.30357 time= 0.01563
Epoch: 0022 train_loss= 1.37419 train_acc= 0.31425 val_loss= 1.37041 val_acc= 0.30357 time= 0.01563
Epoch: 0023 train_loss= 1.37393 train_acc= 0.31425 val_loss= 1.37022 val_acc= 0.30357 time= 0.01563
Epoch: 0024 train_loss= 1.37384 train_acc= 0.31425 val_loss= 1.37015 val_acc= 0.30357 time= 0.01563
Epoch: 0025 train_loss= 1.37361 train_acc= 0.31425 val_loss= 1.37011 val_acc= 0.30357 time= 0.01563
Epoch: 0026 train_loss= 1.37331 train_acc= 0.31425 val_loss= 1.36999 val_acc= 0.30357 time= 0.01563
Epoch: 0027 train_loss= 1.37370 train_acc= 0.31425 val_loss= 1.36982 val_acc= 0.30357 time= 0.01563
Epoch: 0028 train_loss= 1.37358 train_acc= 0.31425 val_loss= 1.36951 val_acc= 0.30357 time= 0.01563
Epoch: 0029 train_loss= 1.37313 train_acc= 0.31425 val_loss= 1.36936 val_acc= 0.30357 time= 0.01563
Epoch: 0030 train_loss= 1.37288 train_acc= 0.31425 val_loss= 1.36917 val_acc= 0.30357 time= 0.01563
Epoch: 0031 train_loss= 1.37326 train_acc= 0.31425 val_loss= 1.36887 val_acc= 0.30357 time= 0.01563
Epoch: 0032 train_loss= 1.37275 train_acc= 0.31425 val_loss= 1.36849 val_acc= 0.30357 time= 0.01563
Epoch: 0033 train_loss= 1.37280 train_acc= 0.31425 val_loss= 1.36810 val_acc= 0.30357 time= 0.01563
Epoch: 0034 train_loss= 1.37288 train_acc= 0.31425 val_loss= 1.36787 val_acc= 0.30357 time= 0.01563
Epoch: 0035 train_loss= 1.37261 train_acc= 0.31425 val_loss= 1.36776 val_acc= 0.30357 time= 0.01563
Epoch: 0036 train_loss= 1.37263 train_acc= 0.31425 val_loss= 1.36768 val_acc= 0.30357 time= 0.01563
Epoch: 0037 train_loss= 1.37307 train_acc= 0.31425 val_loss= 1.36780 val_acc= 0.30357 time= 0.01563
Epoch: 0038 train_loss= 1.37230 train_acc= 0.31425 val_loss= 1.36791 val_acc= 0.30357 time= 0.01563
Epoch: 0039 train_loss= 1.37223 train_acc= 0.31425 val_loss= 1.36798 val_acc= 0.30357 time= 0.01563
Epoch: 0040 train_loss= 1.37189 train_acc= 0.31425 val_loss= 1.36770 val_acc= 0.30357 time= 0.01563
Epoch: 0041 train_loss= 1.37142 train_acc= 0.31425 val_loss= 1.36747 val_acc= 0.30357 time= 0.01563
Epoch: 0042 train_loss= 1.37178 train_acc= 0.31425 val_loss= 1.36728 val_acc= 0.30357 time= 0.01563
Epoch: 0043 train_loss= 1.37202 train_acc= 0.31425 val_loss= 1.36730 val_acc= 0.30357 time= 0.01563
Epoch: 0044 train_loss= 1.37228 train_acc= 0.31425 val_loss= 1.36729 val_acc= 0.30357 time= 0.01563
Epoch: 0045 train_loss= 1.37163 train_acc= 0.31425 val_loss= 1.36712 val_acc= 0.30357 time= 0.01563
Epoch: 0046 train_loss= 1.37165 train_acc= 0.31425 val_loss= 1.36704 val_acc= 0.30357 time= 0.01563
Epoch: 0047 train_loss= 1.37134 train_acc= 0.31425 val_loss= 1.36698 val_acc= 0.30357 time= 0.01563
Epoch: 0048 train_loss= 1.37145 train_acc= 0.31425 val_loss= 1.36707 val_acc= 0.30357 time= 0.01563
Epoch: 0049 train_loss= 1.37135 train_acc= 0.31425 val_loss= 1.36721 val_acc= 0.30357 time= 0.01563
Epoch: 0050 train_loss= 1.37151 train_acc= 0.31425 val_loss= 1.36712 val_acc= 0.30357 time= 0.01563
Epoch: 0051 train_loss= 1.37117 train_acc= 0.31425 val_loss= 1.36711 val_acc= 0.30357 time= 0.01563
Epoch: 0052 train_loss= 1.37182 train_acc= 0.31425 val_loss= 1.36682 val_acc= 0.30357 time= 0.01563
Epoch: 0053 train_loss= 1.37091 train_acc= 0.31425 val_loss= 1.36631 val_acc= 0.30357 time= 0.01563
Epoch: 0054 train_loss= 1.37114 train_acc= 0.31425 val_loss= 1.36576 val_acc= 0.30357 time= 0.01563
Epoch: 0055 train_loss= 1.37112 train_acc= 0.31425 val_loss= 1.36529 val_acc= 0.30357 time= 0.01563
Epoch: 0056 train_loss= 1.37088 train_acc= 0.31425 val_loss= 1.36530 val_acc= 0.30357 time= 0.01563
Epoch: 0057 train_loss= 1.37094 train_acc= 0.31425 val_loss= 1.36515 val_acc= 0.30357 time= 0.01563
Epoch: 0058 train_loss= 1.37111 train_acc= 0.31425 val_loss= 1.36510 val_acc= 0.30357 time= 0.01563
Epoch: 0059 train_loss= 1.37104 train_acc= 0.31425 val_loss= 1.36576 val_acc= 0.30357 time= 0.01563
Epoch: 0060 train_loss= 1.37115 train_acc= 0.31425 val_loss= 1.36610 val_acc= 0.30357 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 1.38057 accuracy= 0.31858 time= 0.01563 
