Epoch: 0001 train_loss= 1.39436 train_acc= 0.20703 val_loss= 1.39157 val_acc= 0.33929 time= 0.26565
Epoch: 0002 train_loss= 1.39149 train_acc= 0.31445 val_loss= 1.38878 val_acc= 0.33929 time= 0.00000
Epoch: 0003 train_loss= 1.38909 train_acc= 0.31445 val_loss= 1.38612 val_acc= 0.33929 time= 0.01562
Epoch: 0004 train_loss= 1.38695 train_acc= 0.31445 val_loss= 1.38378 val_acc= 0.33929 time= 0.01563
Epoch: 0005 train_loss= 1.38532 train_acc= 0.31445 val_loss= 1.38177 val_acc= 0.33929 time= 0.01563
Epoch: 0006 train_loss= 1.38398 train_acc= 0.31445 val_loss= 1.38005 val_acc= 0.33929 time= 0.01563
Epoch: 0007 train_loss= 1.38299 train_acc= 0.31445 val_loss= 1.37859 val_acc= 0.33929 time= 0.01563
Epoch: 0008 train_loss= 1.38274 train_acc= 0.31445 val_loss= 1.37737 val_acc= 0.33929 time= 0.01563
Epoch: 0009 train_loss= 1.38200 train_acc= 0.31445 val_loss= 1.37630 val_acc= 0.33929 time= 0.01563
Epoch: 0010 train_loss= 1.38169 train_acc= 0.31445 val_loss= 1.37533 val_acc= 0.33929 time= 0.01563
Epoch: 0011 train_loss= 1.38166 train_acc= 0.31445 val_loss= 1.37444 val_acc= 0.33929 time= 0.01563
Epoch: 0012 train_loss= 1.38150 train_acc= 0.31445 val_loss= 1.37355 val_acc= 0.33929 time= 0.01563
Epoch: 0013 train_loss= 1.38112 train_acc= 0.31445 val_loss= 1.37262 val_acc= 0.33929 time= 0.01563
Epoch: 0014 train_loss= 1.38081 train_acc= 0.31445 val_loss= 1.37173 val_acc= 0.33929 time= 0.01563
Epoch: 0015 train_loss= 1.38083 train_acc= 0.31445 val_loss= 1.37094 val_acc= 0.33929 time= 0.01563
Epoch: 0016 train_loss= 1.38094 train_acc= 0.31445 val_loss= 1.37016 val_acc= 0.33929 time= 0.00000
Epoch: 0017 train_loss= 1.37994 train_acc= 0.31445 val_loss= 1.36951 val_acc= 0.33929 time= 0.00000
Epoch: 0018 train_loss= 1.38028 train_acc= 0.31445 val_loss= 1.36900 val_acc= 0.33929 time= 0.01563
Epoch: 0019 train_loss= 1.38008 train_acc= 0.31445 val_loss= 1.36863 val_acc= 0.33929 time= 0.01563
Epoch: 0020 train_loss= 1.37947 train_acc= 0.31445 val_loss= 1.36840 val_acc= 0.33929 time= 0.01563
Epoch: 0021 train_loss= 1.37882 train_acc= 0.31445 val_loss= 1.36828 val_acc= 0.33929 time= 0.01563
Epoch: 0022 train_loss= 1.37859 train_acc= 0.31445 val_loss= 1.36816 val_acc= 0.33929 time= 0.01563
Epoch: 0023 train_loss= 1.37883 train_acc= 0.31445 val_loss= 1.36800 val_acc= 0.33929 time= 0.01563
Epoch: 0024 train_loss= 1.37850 train_acc= 0.31445 val_loss= 1.36784 val_acc= 0.33929 time= 0.01563
Epoch: 0025 train_loss= 1.37819 train_acc= 0.31445 val_loss= 1.36764 val_acc= 0.33929 time= 0.01563
Epoch: 0026 train_loss= 1.37857 train_acc= 0.31445 val_loss= 1.36737 val_acc= 0.33929 time= 0.01563
Epoch: 0027 train_loss= 1.37781 train_acc= 0.31445 val_loss= 1.36697 val_acc= 0.33929 time= 0.01563
Epoch: 0028 train_loss= 1.37822 train_acc= 0.31445 val_loss= 1.36655 val_acc= 0.33929 time= 0.01563
Epoch: 0029 train_loss= 1.37799 train_acc= 0.31445 val_loss= 1.36617 val_acc= 0.33929 time= 0.01563
Epoch: 0030 train_loss= 1.37789 train_acc= 0.31445 val_loss= 1.36578 val_acc= 0.33929 time= 0.00000
Epoch: 0031 train_loss= 1.37755 train_acc= 0.31445 val_loss= 1.36538 val_acc= 0.33929 time= 0.01563
Epoch: 0032 train_loss= 1.37744 train_acc= 0.31445 val_loss= 1.36500 val_acc= 0.33929 time= 0.01563
Epoch: 0033 train_loss= 1.37707 train_acc= 0.31445 val_loss= 1.36461 val_acc= 0.33929 time= 0.01563
Epoch: 0034 train_loss= 1.37739 train_acc= 0.31445 val_loss= 1.36433 val_acc= 0.33929 time= 0.01563
Epoch: 0035 train_loss= 1.37742 train_acc= 0.31445 val_loss= 1.36413 val_acc= 0.33929 time= 0.02606
Epoch: 0036 train_loss= 1.37735 train_acc= 0.31445 val_loss= 1.36389 val_acc= 0.33929 time= 0.01205
Epoch: 0037 train_loss= 1.37702 train_acc= 0.31445 val_loss= 1.36376 val_acc= 0.33929 time= 0.01563
Epoch: 0038 train_loss= 1.37724 train_acc= 0.31445 val_loss= 1.36357 val_acc= 0.33929 time= 0.01563
Epoch: 0039 train_loss= 1.37711 train_acc= 0.31445 val_loss= 1.36340 val_acc= 0.33929 time= 0.01563
Epoch: 0040 train_loss= 1.37640 train_acc= 0.31445 val_loss= 1.36321 val_acc= 0.33929 time= 0.01563
Epoch: 0041 train_loss= 1.37651 train_acc= 0.31445 val_loss= 1.36303 val_acc= 0.33929 time= 0.01563
Epoch: 0042 train_loss= 1.37676 train_acc= 0.31445 val_loss= 1.36281 val_acc= 0.33929 time= 0.00000
Epoch: 0043 train_loss= 1.37641 train_acc= 0.31445 val_loss= 1.36257 val_acc= 0.33929 time= 0.01563
Epoch: 0044 train_loss= 1.37658 train_acc= 0.31445 val_loss= 1.36237 val_acc= 0.33929 time= 0.01563
Epoch: 0045 train_loss= 1.37624 train_acc= 0.31445 val_loss= 1.36210 val_acc= 0.33929 time= 0.01563
Epoch: 0046 train_loss= 1.37603 train_acc= 0.31445 val_loss= 1.36180 val_acc= 0.33929 time= 0.01563
Epoch: 0047 train_loss= 1.37624 train_acc= 0.31445 val_loss= 1.36159 val_acc= 0.33929 time= 0.01563
Epoch: 0048 train_loss= 1.37617 train_acc= 0.31445 val_loss= 1.36123 val_acc= 0.33929 time= 0.02469
Epoch: 0049 train_loss= 1.37635 train_acc= 0.31445 val_loss= 1.36102 val_acc= 0.33929 time= 0.01200
Epoch: 0050 train_loss= 1.37617 train_acc= 0.31445 val_loss= 1.36101 val_acc= 0.33929 time= 0.01567
Epoch: 0051 train_loss= 1.37611 train_acc= 0.31445 val_loss= 1.36114 val_acc= 0.33929 time= 0.01563
Epoch: 0052 train_loss= 1.37647 train_acc= 0.31445 val_loss= 1.36091 val_acc= 0.33929 time= 0.01563
Epoch: 0053 train_loss= 1.37645 train_acc= 0.31445 val_loss= 1.36092 val_acc= 0.33929 time= 0.00000
Epoch: 0054 train_loss= 1.37648 train_acc= 0.31445 val_loss= 1.36075 val_acc= 0.33929 time= 0.02899
Epoch: 0055 train_loss= 1.37592 train_acc= 0.31445 val_loss= 1.36089 val_acc= 0.33929 time= 0.01500
Epoch: 0056 train_loss= 1.37580 train_acc= 0.31445 val_loss= 1.36103 val_acc= 0.33929 time= 0.00100
Epoch: 0057 train_loss= 1.37570 train_acc= 0.31445 val_loss= 1.36091 val_acc= 0.33929 time= 0.01568
Epoch: 0058 train_loss= 1.37600 train_acc= 0.31445 val_loss= 1.36047 val_acc= 0.33929 time= 0.01563
Epoch: 0059 train_loss= 1.37556 train_acc= 0.31445 val_loss= 1.35990 val_acc= 0.33929 time= 0.01563
Epoch: 0060 train_loss= 1.37608 train_acc= 0.31445 val_loss= 1.35935 val_acc= 0.33929 time= 0.01563
Epoch: 0061 train_loss= 1.37598 train_acc= 0.31445 val_loss= 1.35942 val_acc= 0.33929 time= 0.01563
Epoch: 0062 train_loss= 1.37591 train_acc= 0.31445 val_loss= 1.36030 val_acc= 0.33929 time= 0.01563
Epoch: 0063 train_loss= 1.37581 train_acc= 0.31445 val_loss= 1.36105 val_acc= 0.33929 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 1.38013 accuracy= 0.31858 time= 0.00000 
