Epoch: 0001 train_loss= 1.39424 train_acc= 0.23242 val_loss= 1.39140 val_acc= 0.25000 time= 0.26564
Epoch: 0002 train_loss= 1.39141 train_acc= 0.25586 val_loss= 1.38921 val_acc= 0.28571 time= 0.01563
Epoch: 0003 train_loss= 1.38922 train_acc= 0.30664 val_loss= 1.38754 val_acc= 0.28571 time= 0.01563
Epoch: 0004 train_loss= 1.38745 train_acc= 0.31055 val_loss= 1.38636 val_acc= 0.28571 time= 0.01563
Epoch: 0005 train_loss= 1.38613 train_acc= 0.31055 val_loss= 1.38557 val_acc= 0.28571 time= 0.01562
Epoch: 0006 train_loss= 1.38544 train_acc= 0.30664 val_loss= 1.38510 val_acc= 0.28571 time= 0.01563
Epoch: 0007 train_loss= 1.38464 train_acc= 0.31445 val_loss= 1.38485 val_acc= 0.28571 time= 0.01563
Epoch: 0008 train_loss= 1.38445 train_acc= 0.30859 val_loss= 1.38474 val_acc= 0.28571 time= 0.01563
Epoch: 0009 train_loss= 1.38406 train_acc= 0.31055 val_loss= 1.38470 val_acc= 0.28571 time= 0.01563
Epoch: 0010 train_loss= 1.38391 train_acc= 0.31055 val_loss= 1.38462 val_acc= 0.28571 time= 0.01562
Epoch: 0011 train_loss= 1.38381 train_acc= 0.31055 val_loss= 1.38449 val_acc= 0.28571 time= 0.01563
Epoch: 0012 train_loss= 1.38347 train_acc= 0.30859 val_loss= 1.38430 val_acc= 0.28571 time= 0.01563
Epoch: 0013 train_loss= 1.38321 train_acc= 0.30859 val_loss= 1.38411 val_acc= 0.28571 time= 0.01563
Epoch: 0014 train_loss= 1.38310 train_acc= 0.31055 val_loss= 1.38388 val_acc= 0.28571 time= 0.01563
Epoch: 0015 train_loss= 1.38267 train_acc= 0.30859 val_loss= 1.38364 val_acc= 0.28571 time= 0.01562
Epoch: 0016 train_loss= 1.38233 train_acc= 0.30859 val_loss= 1.38339 val_acc= 0.28571 time= 0.01563
Epoch: 0017 train_loss= 1.38195 train_acc= 0.30859 val_loss= 1.38313 val_acc= 0.28571 time= 0.01563
Epoch: 0018 train_loss= 1.38167 train_acc= 0.30859 val_loss= 1.38287 val_acc= 0.28571 time= 0.01563
Epoch: 0019 train_loss= 1.38148 train_acc= 0.30859 val_loss= 1.38262 val_acc= 0.28571 time= 0.01563
Epoch: 0020 train_loss= 1.38085 train_acc= 0.30859 val_loss= 1.38239 val_acc= 0.28571 time= 0.01563
Epoch: 0021 train_loss= 1.38110 train_acc= 0.30859 val_loss= 1.38217 val_acc= 0.28571 time= 0.01563
Epoch: 0022 train_loss= 1.38084 train_acc= 0.30859 val_loss= 1.38198 val_acc= 0.28571 time= 0.01563
Epoch: 0023 train_loss= 1.38020 train_acc= 0.30859 val_loss= 1.38182 val_acc= 0.28571 time= 0.01563
Epoch: 0024 train_loss= 1.38030 train_acc= 0.30859 val_loss= 1.38167 val_acc= 0.28571 time= 0.01563
Epoch: 0025 train_loss= 1.38007 train_acc= 0.30859 val_loss= 1.38154 val_acc= 0.28571 time= 0.01563
Epoch: 0026 train_loss= 1.37981 train_acc= 0.30859 val_loss= 1.38142 val_acc= 0.28571 time= 0.01563
Epoch: 0027 train_loss= 1.37978 train_acc= 0.30859 val_loss= 1.38131 val_acc= 0.28571 time= 0.01563
Epoch: 0028 train_loss= 1.37971 train_acc= 0.30859 val_loss= 1.38120 val_acc= 0.28571 time= 0.01563
Epoch: 0029 train_loss= 1.37906 train_acc= 0.30859 val_loss= 1.38111 val_acc= 0.28571 time= 0.02834
Epoch: 0030 train_loss= 1.37900 train_acc= 0.30859 val_loss= 1.38101 val_acc= 0.28571 time= 0.01590
Epoch: 0031 train_loss= 1.37882 train_acc= 0.30859 val_loss= 1.38092 val_acc= 0.28571 time= 0.01406
Epoch: 0032 train_loss= 1.37931 train_acc= 0.30859 val_loss= 1.38082 val_acc= 0.28571 time= 0.01563
Epoch: 0033 train_loss= 1.37859 train_acc= 0.30859 val_loss= 1.38074 val_acc= 0.28571 time= 0.01563
Epoch: 0034 train_loss= 1.37839 train_acc= 0.30859 val_loss= 1.38067 val_acc= 0.28571 time= 0.01563
Epoch: 0035 train_loss= 1.37870 train_acc= 0.30859 val_loss= 1.38064 val_acc= 0.28571 time= 0.01563
Epoch: 0036 train_loss= 1.37853 train_acc= 0.30859 val_loss= 1.38063 val_acc= 0.28571 time= 0.01563
Epoch: 0037 train_loss= 1.37827 train_acc= 0.30859 val_loss= 1.38062 val_acc= 0.28571 time= 0.01563
Epoch: 0038 train_loss= 1.37741 train_acc= 0.30859 val_loss= 1.38063 val_acc= 0.28571 time= 0.01563
Epoch: 0039 train_loss= 1.37814 train_acc= 0.30859 val_loss= 1.38063 val_acc= 0.28571 time= 0.00000
Epoch: 0040 train_loss= 1.37824 train_acc= 0.30859 val_loss= 1.38062 val_acc= 0.28571 time= 0.01563
Epoch: 0041 train_loss= 1.37758 train_acc= 0.30859 val_loss= 1.38058 val_acc= 0.28571 time= 0.01563
Epoch: 0042 train_loss= 1.37823 train_acc= 0.30859 val_loss= 1.38053 val_acc= 0.28571 time= 0.01563
Epoch: 0043 train_loss= 1.37750 train_acc= 0.30859 val_loss= 1.38048 val_acc= 0.28571 time= 0.01563
Epoch: 0044 train_loss= 1.37764 train_acc= 0.30859 val_loss= 1.38044 val_acc= 0.28571 time= 0.01563
Epoch: 0045 train_loss= 1.37740 train_acc= 0.30859 val_loss= 1.38041 val_acc= 0.28571 time= 0.01563
Epoch: 0046 train_loss= 1.37718 train_acc= 0.30859 val_loss= 1.38040 val_acc= 0.28571 time= 0.01563
Epoch: 0047 train_loss= 1.37765 train_acc= 0.30859 val_loss= 1.38041 val_acc= 0.28571 time= 0.01563
Epoch: 0048 train_loss= 1.37649 train_acc= 0.30859 val_loss= 1.38047 val_acc= 0.28571 time= 0.01562
Epoch: 0049 train_loss= 1.37732 train_acc= 0.30859 val_loss= 1.38048 val_acc= 0.28571 time= 0.01563
Epoch: 0050 train_loss= 1.37712 train_acc= 0.30859 val_loss= 1.38047 val_acc= 0.28571 time= 0.01563
Epoch: 0051 train_loss= 1.37706 train_acc= 0.30859 val_loss= 1.38044 val_acc= 0.28571 time= 0.03125
Epoch: 0052 train_loss= 1.37710 train_acc= 0.30859 val_loss= 1.38040 val_acc= 0.28571 time= 0.01718
Epoch: 0053 train_loss= 1.37711 train_acc= 0.30859 val_loss= 1.38038 val_acc= 0.28571 time= 0.01578
Epoch: 0054 train_loss= 1.37717 train_acc= 0.30859 val_loss= 1.38040 val_acc= 0.28571 time= 0.00505
Epoch: 0055 train_loss= 1.37694 train_acc= 0.30859 val_loss= 1.38039 val_acc= 0.28571 time= 0.01563
Epoch: 0056 train_loss= 1.37687 train_acc= 0.30859 val_loss= 1.38038 val_acc= 0.28571 time= 0.01563
Epoch: 0057 train_loss= 1.37681 train_acc= 0.30859 val_loss= 1.38041 val_acc= 0.28571 time= 0.01551
Epoch: 0058 train_loss= 1.37668 train_acc= 0.30859 val_loss= 1.38049 val_acc= 0.28571 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 1.35292 accuracy= 0.36283 time= 0.00000 
