Epoch: 0001 train_loss= 1.39446 train_acc= 0.20391 val_loss= 1.39157 val_acc= 0.30357 time= 0.39064
Epoch: 0002 train_loss= 1.39146 train_acc= 0.30587 val_loss= 1.38938 val_acc= 0.30357 time= 0.01563
Epoch: 0003 train_loss= 1.38911 train_acc= 0.30587 val_loss= 1.38770 val_acc= 0.30357 time= 0.01563
Epoch: 0004 train_loss= 1.38739 train_acc= 0.30587 val_loss= 1.38647 val_acc= 0.30357 time= 0.01563
Epoch: 0005 train_loss= 1.38603 train_acc= 0.30587 val_loss= 1.38556 val_acc= 0.30357 time= 0.01563
Epoch: 0006 train_loss= 1.38517 train_acc= 0.30587 val_loss= 1.38492 val_acc= 0.30357 time= 0.01563
Epoch: 0007 train_loss= 1.38462 train_acc= 0.30587 val_loss= 1.38443 val_acc= 0.30357 time= 0.01563
Epoch: 0008 train_loss= 1.38433 train_acc= 0.30587 val_loss= 1.38400 val_acc= 0.30357 time= 0.01563
Epoch: 0009 train_loss= 1.38403 train_acc= 0.30587 val_loss= 1.38356 val_acc= 0.30357 time= 0.01563
Epoch: 0010 train_loss= 1.38383 train_acc= 0.30587 val_loss= 1.38309 val_acc= 0.30357 time= 0.01563
Epoch: 0011 train_loss= 1.38367 train_acc= 0.30587 val_loss= 1.38256 val_acc= 0.30357 time= 0.01563
Epoch: 0012 train_loss= 1.38388 train_acc= 0.30587 val_loss= 1.38199 val_acc= 0.30357 time= 0.01563
Epoch: 0013 train_loss= 1.38326 train_acc= 0.30587 val_loss= 1.38137 val_acc= 0.30357 time= 0.01563
Epoch: 0014 train_loss= 1.38299 train_acc= 0.30587 val_loss= 1.38074 val_acc= 0.30357 time= 0.01563
Epoch: 0015 train_loss= 1.38298 train_acc= 0.30587 val_loss= 1.38009 val_acc= 0.30357 time= 0.01563
Epoch: 0016 train_loss= 1.38240 train_acc= 0.30587 val_loss= 1.37948 val_acc= 0.30357 time= 0.01563
Epoch: 0017 train_loss= 1.38235 train_acc= 0.30587 val_loss= 1.37889 val_acc= 0.30357 time= 0.01563
Epoch: 0018 train_loss= 1.38200 train_acc= 0.30587 val_loss= 1.37834 val_acc= 0.30357 time= 0.01563
Epoch: 0019 train_loss= 1.38147 train_acc= 0.30587 val_loss= 1.37784 val_acc= 0.30357 time= 0.01563
Epoch: 0020 train_loss= 1.38105 train_acc= 0.30587 val_loss= 1.37735 val_acc= 0.30357 time= 0.01563
Epoch: 0021 train_loss= 1.38103 train_acc= 0.30587 val_loss= 1.37689 val_acc= 0.30357 time= 0.01563
Epoch: 0022 train_loss= 1.38087 train_acc= 0.30587 val_loss= 1.37649 val_acc= 0.30357 time= 0.01563
Epoch: 0023 train_loss= 1.38095 train_acc= 0.30587 val_loss= 1.37612 val_acc= 0.30357 time= 0.01563
Epoch: 0024 train_loss= 1.38062 train_acc= 0.30587 val_loss= 1.37582 val_acc= 0.30357 time= 0.01563
Epoch: 0025 train_loss= 1.38051 train_acc= 0.30587 val_loss= 1.37555 val_acc= 0.30357 time= 0.01563
Epoch: 0026 train_loss= 1.38027 train_acc= 0.30587 val_loss= 1.37534 val_acc= 0.30357 time= 0.01563
Epoch: 0027 train_loss= 1.38003 train_acc= 0.30587 val_loss= 1.37519 val_acc= 0.30357 time= 0.01563
Epoch: 0028 train_loss= 1.38015 train_acc= 0.30587 val_loss= 1.37501 val_acc= 0.30357 time= 0.01563
Epoch: 0029 train_loss= 1.37981 train_acc= 0.30587 val_loss= 1.37478 val_acc= 0.30357 time= 0.01563
Epoch: 0030 train_loss= 1.38003 train_acc= 0.30587 val_loss= 1.37454 val_acc= 0.30357 time= 0.01563
Epoch: 0031 train_loss= 1.37962 train_acc= 0.30587 val_loss= 1.37435 val_acc= 0.30357 time= 0.01563
Epoch: 0032 train_loss= 1.37960 train_acc= 0.30587 val_loss= 1.37417 val_acc= 0.30357 time= 0.01563
Epoch: 0033 train_loss= 1.37957 train_acc= 0.30587 val_loss= 1.37399 val_acc= 0.30357 time= 0.01563
Epoch: 0034 train_loss= 1.37931 train_acc= 0.30587 val_loss= 1.37378 val_acc= 0.30357 time= 0.01563
Epoch: 0035 train_loss= 1.37933 train_acc= 0.30587 val_loss= 1.37362 val_acc= 0.30357 time= 0.01563
Epoch: 0036 train_loss= 1.37945 train_acc= 0.30587 val_loss= 1.37354 val_acc= 0.30357 time= 0.01563
Epoch: 0037 train_loss= 1.37910 train_acc= 0.30587 val_loss= 1.37351 val_acc= 0.30357 time= 0.01563
Epoch: 0038 train_loss= 1.37908 train_acc= 0.30587 val_loss= 1.37360 val_acc= 0.30357 time= 0.01563
Epoch: 0039 train_loss= 1.37879 train_acc= 0.30587 val_loss= 1.37367 val_acc= 0.30357 time= 0.01563
Epoch: 0040 train_loss= 1.37884 train_acc= 0.30587 val_loss= 1.37353 val_acc= 0.30357 time= 0.01563
Epoch: 0041 train_loss= 1.37848 train_acc= 0.30587 val_loss= 1.37330 val_acc= 0.30357 time= 0.01563
Epoch: 0042 train_loss= 1.37898 train_acc= 0.30587 val_loss= 1.37312 val_acc= 0.30357 time= 0.01563
Epoch: 0043 train_loss= 1.37900 train_acc= 0.30587 val_loss= 1.37305 val_acc= 0.30357 time= 0.01563
Epoch: 0044 train_loss= 1.37848 train_acc= 0.30587 val_loss= 1.37291 val_acc= 0.30357 time= 0.01562
Epoch: 0045 train_loss= 1.37854 train_acc= 0.30587 val_loss= 1.37288 val_acc= 0.30357 time= 0.01563
Epoch: 0046 train_loss= 1.37850 train_acc= 0.30587 val_loss= 1.37281 val_acc= 0.30357 time= 0.01563
Epoch: 0047 train_loss= 1.37858 train_acc= 0.30587 val_loss= 1.37269 val_acc= 0.30357 time= 0.01563
Epoch: 0048 train_loss= 1.37839 train_acc= 0.30587 val_loss= 1.37250 val_acc= 0.30357 time= 0.01563
Epoch: 0049 train_loss= 1.37866 train_acc= 0.30587 val_loss= 1.37234 val_acc= 0.30357 time= 0.01563
Epoch: 0050 train_loss= 1.37828 train_acc= 0.30587 val_loss= 1.37226 val_acc= 0.30357 time= 0.01563
Epoch: 0051 train_loss= 1.37831 train_acc= 0.30587 val_loss= 1.37233 val_acc= 0.30357 time= 0.01563
Epoch: 0052 train_loss= 1.37834 train_acc= 0.30587 val_loss= 1.37247 val_acc= 0.30357 time= 0.01563
Epoch: 0053 train_loss= 1.37777 train_acc= 0.30587 val_loss= 1.37251 val_acc= 0.30357 time= 0.01563
Epoch: 0054 train_loss= 1.37823 train_acc= 0.30587 val_loss= 1.37273 val_acc= 0.30357 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 1.35570 accuracy= 0.36283 time= 0.01563 
