Epoch: 0001 train_loss= 1.39395 train_acc= 0.30866 val_loss= 1.39059 val_acc= 0.30357 time= 0.75027
Epoch: 0002 train_loss= 1.39022 train_acc= 0.31006 val_loss= 1.38794 val_acc= 0.30357 time= 0.01563
Epoch: 0003 train_loss= 1.38733 train_acc= 0.30726 val_loss= 1.38597 val_acc= 0.30357 time= 0.01562
Epoch: 0004 train_loss= 1.38499 train_acc= 0.30866 val_loss= 1.38464 val_acc= 0.30357 time= 0.01563
Epoch: 0005 train_loss= 1.38318 train_acc= 0.30866 val_loss= 1.38384 val_acc= 0.30357 time= 0.00000
Epoch: 0006 train_loss= 1.38192 train_acc= 0.30866 val_loss= 1.38337 val_acc= 0.30357 time= 0.01563
Epoch: 0007 train_loss= 1.38055 train_acc= 0.30866 val_loss= 1.38307 val_acc= 0.30357 time= 0.01563
Epoch: 0008 train_loss= 1.37963 train_acc= 0.30866 val_loss= 1.38288 val_acc= 0.30357 time= 0.01563
Epoch: 0009 train_loss= 1.37997 train_acc= 0.30866 val_loss= 1.38273 val_acc= 0.30357 time= 0.01563
Epoch: 0010 train_loss= 1.37964 train_acc= 0.30866 val_loss= 1.38254 val_acc= 0.30357 time= 0.01563
Epoch: 0011 train_loss= 1.37984 train_acc= 0.30866 val_loss= 1.38229 val_acc= 0.30357 time= 0.01563
Epoch: 0012 train_loss= 1.37879 train_acc= 0.30866 val_loss= 1.38195 val_acc= 0.30357 time= 0.00000
Epoch: 0013 train_loss= 1.37916 train_acc= 0.30866 val_loss= 1.38153 val_acc= 0.30357 time= 0.01563
Epoch: 0014 train_loss= 1.37798 train_acc= 0.30866 val_loss= 1.38105 val_acc= 0.30357 time= 0.01563
Epoch: 0015 train_loss= 1.37845 train_acc= 0.30866 val_loss= 1.38057 val_acc= 0.30357 time= 0.01563
Epoch: 0016 train_loss= 1.37733 train_acc= 0.30866 val_loss= 1.38011 val_acc= 0.30357 time= 0.01563
Epoch: 0017 train_loss= 1.37716 train_acc= 0.30866 val_loss= 1.37968 val_acc= 0.30357 time= 0.01563
Epoch: 0018 train_loss= 1.37654 train_acc= 0.30866 val_loss= 1.37930 val_acc= 0.30357 time= 0.00000
Epoch: 0019 train_loss= 1.37681 train_acc= 0.30866 val_loss= 1.37897 val_acc= 0.30357 time= 0.02207
Epoch: 0020 train_loss= 1.37621 train_acc= 0.30866 val_loss= 1.37868 val_acc= 0.30357 time= 0.00950
Epoch: 0021 train_loss= 1.37571 train_acc= 0.30866 val_loss= 1.37842 val_acc= 0.30357 time= 0.01563
Epoch: 0022 train_loss= 1.37554 train_acc= 0.30866 val_loss= 1.37821 val_acc= 0.30357 time= 0.01563
Epoch: 0023 train_loss= 1.37539 train_acc= 0.30866 val_loss= 1.37796 val_acc= 0.30357 time= 0.00000
Epoch: 0024 train_loss= 1.37506 train_acc= 0.30866 val_loss= 1.37776 val_acc= 0.30357 time= 0.01563
Epoch: 0025 train_loss= 1.37487 train_acc= 0.30866 val_loss= 1.37759 val_acc= 0.30357 time= 0.01563
Epoch: 0026 train_loss= 1.37479 train_acc= 0.30866 val_loss= 1.37742 val_acc= 0.30357 time= 0.01562
Epoch: 0027 train_loss= 1.37465 train_acc= 0.30866 val_loss= 1.37725 val_acc= 0.30357 time= 0.01563
Epoch: 0028 train_loss= 1.37448 train_acc= 0.30866 val_loss= 1.37709 val_acc= 0.30357 time= 0.00000
Epoch: 0029 train_loss= 1.37423 train_acc= 0.30866 val_loss= 1.37693 val_acc= 0.30357 time= 0.01563
Epoch: 0030 train_loss= 1.37399 train_acc= 0.30866 val_loss= 1.37675 val_acc= 0.30357 time= 0.01563
Epoch: 0031 train_loss= 1.37422 train_acc= 0.31006 val_loss= 1.37655 val_acc= 0.30357 time= 0.01563
Epoch: 0032 train_loss= 1.37365 train_acc= 0.30866 val_loss= 1.37636 val_acc= 0.30357 time= 0.01562
Epoch: 0033 train_loss= 1.37401 train_acc= 0.30866 val_loss= 1.37622 val_acc= 0.30357 time= 0.00000
Epoch: 0034 train_loss= 1.37339 train_acc= 0.30866 val_loss= 1.37613 val_acc= 0.30357 time= 0.01563
Epoch: 0035 train_loss= 1.37338 train_acc= 0.31006 val_loss= 1.37608 val_acc= 0.30357 time= 0.01563
Epoch: 0036 train_loss= 1.37323 train_acc= 0.30866 val_loss= 1.37601 val_acc= 0.30357 time= 0.00000
Epoch: 0037 train_loss= 1.37384 train_acc= 0.31006 val_loss= 1.37589 val_acc= 0.30357 time= 0.01563
Epoch: 0038 train_loss= 1.37277 train_acc= 0.30866 val_loss= 1.37570 val_acc= 0.30357 time= 0.01562
Epoch: 0039 train_loss= 1.37238 train_acc= 0.30866 val_loss= 1.37551 val_acc= 0.30357 time= 0.01563
Epoch: 0040 train_loss= 1.37283 train_acc= 0.30866 val_loss= 1.37532 val_acc= 0.30357 time= 0.01563
Epoch: 0041 train_loss= 1.37242 train_acc= 0.30866 val_loss= 1.37518 val_acc= 0.30357 time= 0.00000
Epoch: 0042 train_loss= 1.37240 train_acc= 0.30866 val_loss= 1.37505 val_acc= 0.30357 time= 0.01563
Epoch: 0043 train_loss= 1.37191 train_acc= 0.31006 val_loss= 1.37493 val_acc= 0.30357 time= 0.01563
Epoch: 0044 train_loss= 1.37197 train_acc= 0.31006 val_loss= 1.37477 val_acc= 0.30357 time= 0.00000
Epoch: 0045 train_loss= 1.37240 train_acc= 0.30866 val_loss= 1.37465 val_acc= 0.30357 time= 0.01563
Epoch: 0046 train_loss= 1.37216 train_acc= 0.31145 val_loss= 1.37457 val_acc= 0.30357 time= 0.01563
Epoch: 0047 train_loss= 1.37251 train_acc= 0.30866 val_loss= 1.37450 val_acc= 0.30357 time= 0.01563
Epoch: 0048 train_loss= 1.37223 train_acc= 0.30866 val_loss= 1.37441 val_acc= 0.30357 time= 0.00000
Epoch: 0049 train_loss= 1.37238 train_acc= 0.30866 val_loss= 1.37431 val_acc= 0.30357 time= 0.01563
Epoch: 0050 train_loss= 1.37141 train_acc= 0.30866 val_loss= 1.37429 val_acc= 0.30357 time= 0.01563
Epoch: 0051 train_loss= 1.37112 train_acc= 0.30866 val_loss= 1.37423 val_acc= 0.30357 time= 0.01563
Epoch: 0052 train_loss= 1.37130 train_acc= 0.31006 val_loss= 1.37412 val_acc= 0.30357 time= 0.00000
Epoch: 0053 train_loss= 1.37116 train_acc= 0.30866 val_loss= 1.37397 val_acc= 0.30357 time= 0.02045
Epoch: 0054 train_loss= 1.37131 train_acc= 0.31006 val_loss= 1.37382 val_acc= 0.30357 time= 0.01100
Epoch: 0055 train_loss= 1.37153 train_acc= 0.30866 val_loss= 1.37367 val_acc= 0.30357 time= 0.01563
Epoch: 0056 train_loss= 1.37055 train_acc= 0.31145 val_loss= 1.37352 val_acc= 0.30357 time= 0.00000
Epoch: 0057 train_loss= 1.37143 train_acc= 0.30866 val_loss= 1.37346 val_acc= 0.30357 time= 0.01563
Epoch: 0058 train_loss= 1.37106 train_acc= 0.31006 val_loss= 1.37338 val_acc= 0.30357 time= 0.01563
Epoch: 0059 train_loss= 1.37065 train_acc= 0.31285 val_loss= 1.37329 val_acc= 0.30357 time= 0.01563
Epoch: 0060 train_loss= 1.37059 train_acc= 0.31006 val_loss= 1.37325 val_acc= 0.30357 time= 0.00000
Epoch: 0061 train_loss= 1.37006 train_acc= 0.31145 val_loss= 1.37319 val_acc= 0.30357 time= 0.01563
Epoch: 0062 train_loss= 1.37005 train_acc= 0.30866 val_loss= 1.37311 val_acc= 0.30357 time= 0.01563
Epoch: 0063 train_loss= 1.37031 train_acc= 0.31145 val_loss= 1.37299 val_acc= 0.30357 time= 0.01563
Epoch: 0064 train_loss= 1.37010 train_acc= 0.31145 val_loss= 1.37288 val_acc= 0.30357 time= 0.01563
Epoch: 0065 train_loss= 1.36964 train_acc= 0.30866 val_loss= 1.37264 val_acc= 0.30357 time= 0.00000
Epoch: 0066 train_loss= 1.36972 train_acc= 0.31145 val_loss= 1.37244 val_acc= 0.30357 time= 0.01563
Epoch: 0067 train_loss= 1.37075 train_acc= 0.31285 val_loss= 1.37227 val_acc= 0.30357 time= 0.01562
Epoch: 0068 train_loss= 1.36865 train_acc= 0.31425 val_loss= 1.37207 val_acc= 0.30357 time= 0.01563
Epoch: 0069 train_loss= 1.36964 train_acc= 0.31704 val_loss= 1.37194 val_acc= 0.30357 time= 0.00000
Epoch: 0070 train_loss= 1.36929 train_acc= 0.31285 val_loss= 1.37180 val_acc= 0.30357 time= 0.01562
Epoch: 0071 train_loss= 1.36889 train_acc= 0.31704 val_loss= 1.37170 val_acc= 0.30357 time= 0.01563
Epoch: 0072 train_loss= 1.36894 train_acc= 0.31704 val_loss= 1.37160 val_acc= 0.30357 time= 0.01563
Epoch: 0073 train_loss= 1.36900 train_acc= 0.31564 val_loss= 1.37151 val_acc= 0.30357 time= 0.01563
Epoch: 0074 train_loss= 1.36905 train_acc= 0.31145 val_loss= 1.37134 val_acc= 0.30357 time= 0.00000
Epoch: 0075 train_loss= 1.36866 train_acc= 0.31145 val_loss= 1.37115 val_acc= 0.30357 time= 0.01563
Epoch: 0076 train_loss= 1.36899 train_acc= 0.31983 val_loss= 1.37100 val_acc= 0.30357 time= 0.01563
Epoch: 0077 train_loss= 1.36874 train_acc= 0.32542 val_loss= 1.37084 val_acc= 0.30357 time= 0.00000
Epoch: 0078 train_loss= 1.36873 train_acc= 0.31285 val_loss= 1.37063 val_acc= 0.30357 time= 0.01563
Epoch: 0079 train_loss= 1.36860 train_acc= 0.32123 val_loss= 1.37052 val_acc= 0.30357 time= 0.01563
Epoch: 0080 train_loss= 1.36854 train_acc= 0.31285 val_loss= 1.37048 val_acc= 0.30357 time= 0.01563
Epoch: 0081 train_loss= 1.36751 train_acc= 0.31564 val_loss= 1.37030 val_acc= 0.30357 time= 0.01563
Epoch: 0082 train_loss= 1.36816 train_acc= 0.31704 val_loss= 1.37008 val_acc= 0.30357 time= 0.00000
Epoch: 0083 train_loss= 1.36819 train_acc= 0.31844 val_loss= 1.36989 val_acc= 0.30357 time= 0.01563
Epoch: 0084 train_loss= 1.36798 train_acc= 0.31983 val_loss= 1.36970 val_acc= 0.30357 time= 0.02090
Epoch: 0085 train_loss= 1.36763 train_acc= 0.31704 val_loss= 1.36957 val_acc= 0.30357 time= 0.01050
Epoch: 0086 train_loss= 1.36729 train_acc= 0.31983 val_loss= 1.36935 val_acc= 0.30357 time= 0.00000
Epoch: 0087 train_loss= 1.36812 train_acc= 0.33240 val_loss= 1.36922 val_acc= 0.30357 time= 0.01563
Epoch: 0088 train_loss= 1.36706 train_acc= 0.32682 val_loss= 1.36918 val_acc= 0.30357 time= 0.01563
Epoch: 0089 train_loss= 1.36742 train_acc= 0.32402 val_loss= 1.36921 val_acc= 0.30357 time= 0.01563
Epoch: 0090 train_loss= 1.36776 train_acc= 0.31983 val_loss= 1.36925 val_acc= 0.30357 time= 0.01563
Epoch: 0091 train_loss= 1.36744 train_acc= 0.31425 val_loss= 1.36903 val_acc= 0.30357 time= 0.00000
Epoch: 0092 train_loss= 1.36621 train_acc= 0.34637 val_loss= 1.36881 val_acc= 0.30357 time= 0.01563
Epoch: 0093 train_loss= 1.36642 train_acc= 0.32402 val_loss= 1.36852 val_acc= 0.30357 time= 0.01563
Epoch: 0094 train_loss= 1.36620 train_acc= 0.33659 val_loss= 1.36831 val_acc= 0.32143 time= 0.01563
Epoch: 0095 train_loss= 1.36626 train_acc= 0.32123 val_loss= 1.36813 val_acc= 0.32143 time= 0.01563
Epoch: 0096 train_loss= 1.36660 train_acc= 0.32682 val_loss= 1.36797 val_acc= 0.32143 time= 0.00000
Epoch: 0097 train_loss= 1.36589 train_acc= 0.37011 val_loss= 1.36776 val_acc= 0.30357 time= 0.01563
Epoch: 0098 train_loss= 1.36469 train_acc= 0.36592 val_loss= 1.36802 val_acc= 0.30357 time= 0.01563
Epoch: 0099 train_loss= 1.36611 train_acc= 0.31704 val_loss= 1.36795 val_acc= 0.30357 time= 0.01563
Epoch: 0100 train_loss= 1.36570 train_acc= 0.33240 val_loss= 1.36751 val_acc= 0.30357 time= 0.01563
Epoch: 0101 train_loss= 1.36706 train_acc= 0.33939 val_loss= 1.36704 val_acc= 0.30357 time= 0.01563
Epoch: 0102 train_loss= 1.36503 train_acc= 0.34078 val_loss= 1.36668 val_acc= 0.32143 time= 0.01563
Epoch: 0103 train_loss= 1.36519 train_acc= 0.36034 val_loss= 1.36650 val_acc= 0.32143 time= 0.01563
Epoch: 0104 train_loss= 1.36599 train_acc= 0.35196 val_loss= 1.36642 val_acc= 0.32143 time= 0.01563
Epoch: 0105 train_loss= 1.36620 train_acc= 0.34916 val_loss= 1.36631 val_acc= 0.30357 time= 0.01563
Epoch: 0106 train_loss= 1.36519 train_acc= 0.33659 val_loss= 1.36620 val_acc= 0.30357 time= 0.00000
Epoch: 0107 train_loss= 1.36539 train_acc= 0.33939 val_loss= 1.36599 val_acc= 0.32143 time= 0.01563
Epoch: 0108 train_loss= 1.36459 train_acc= 0.32961 val_loss= 1.36547 val_acc= 0.32143 time= 0.01563
Epoch: 0109 train_loss= 1.36513 train_acc= 0.34358 val_loss= 1.36522 val_acc= 0.35714 time= 0.01563
Epoch: 0110 train_loss= 1.36528 train_acc= 0.38268 val_loss= 1.36515 val_acc= 0.35714 time= 0.01562
Epoch: 0111 train_loss= 1.36483 train_acc= 0.37989 val_loss= 1.36531 val_acc= 0.30357 time= 0.00000
Epoch: 0112 train_loss= 1.36531 train_acc= 0.33520 val_loss= 1.36535 val_acc= 0.30357 time= 0.01563
Epoch: 0113 train_loss= 1.36367 train_acc= 0.33380 val_loss= 1.36490 val_acc= 0.30357 time= 0.01563
Epoch: 0114 train_loss= 1.36556 train_acc= 0.34078 val_loss= 1.36446 val_acc= 0.32143 time= 0.01563
Epoch: 0115 train_loss= 1.36422 train_acc= 0.35196 val_loss= 1.36424 val_acc= 0.35714 time= 0.01563
Epoch: 0116 train_loss= 1.36473 train_acc= 0.35196 val_loss= 1.36406 val_acc= 0.39286 time= 0.00000
Epoch: 0117 train_loss= 1.36371 train_acc= 0.37570 val_loss= 1.36407 val_acc= 0.41071 time= 0.01563
Epoch: 0118 train_loss= 1.36367 train_acc= 0.38128 val_loss= 1.36397 val_acc= 0.35714 time= 0.01563
Epoch: 0119 train_loss= 1.36188 train_acc= 0.39804 val_loss= 1.36446 val_acc= 0.30357 time= 0.01563
Epoch: 0120 train_loss= 1.36446 train_acc= 0.32821 val_loss= 1.36481 val_acc= 0.30357 time= 0.00000
Early stopping...
Optimization Finished!
Test set results: cost= 1.38241 accuracy= 0.33628 time= 0.01563 
