Epoch: 0001 train_loss= 2.07535 train_acc= 0.28073 val_loss= 1.67331 val_acc= 0.30357 time= 0.90649
Epoch: 0002 train_loss= 1.68598 train_acc= 0.27095 val_loss= 1.45290 val_acc= 0.28571 time= 0.01563
Epoch: 0003 train_loss= 2.46134 train_acc= 0.22346 val_loss= 1.39801 val_acc= 0.28571 time= 0.03125
Epoch: 0004 train_loss= 1.39099 train_acc= 0.29050 val_loss= 1.38984 val_acc= 0.32143 time= 0.01563
Epoch: 0005 train_loss= 1.40397 train_acc= 0.25419 val_loss= 1.38444 val_acc= 0.33929 time= 0.03125
Epoch: 0006 train_loss= 1.48330 train_acc= 0.22486 val_loss= 1.38336 val_acc= 0.28571 time= 0.01563
Epoch: 0007 train_loss= 1.39857 train_acc= 0.25838 val_loss= 1.38224 val_acc= 0.28571 time= 0.03125
Epoch: 0008 train_loss= 1.39882 train_acc= 0.29609 val_loss= 1.38108 val_acc= 0.25000 time= 0.01563
Epoch: 0009 train_loss= 1.40310 train_acc= 0.24721 val_loss= 1.37995 val_acc= 0.21429 time= 0.03125
Epoch: 0010 train_loss= 1.44127 train_acc= 0.23464 val_loss= 1.37887 val_acc= 0.21429 time= 0.01563
Epoch: 0011 train_loss= 1.38734 train_acc= 0.28631 val_loss= 1.37772 val_acc= 0.23214 time= 0.03125
Epoch: 0012 train_loss= 1.39544 train_acc= 0.31564 val_loss= 1.37664 val_acc= 0.26786 time= 0.03125
Epoch: 0013 train_loss= 1.39521 train_acc= 0.27793 val_loss= 1.37567 val_acc= 0.26786 time= 0.01563
Epoch: 0014 train_loss= 1.43069 train_acc= 0.23743 val_loss= 1.37497 val_acc= 0.26786 time= 0.03125
Epoch: 0015 train_loss= 1.50502 train_acc= 0.29888 val_loss= 1.37503 val_acc= 0.26786 time= 0.01563
Epoch: 0016 train_loss= 1.39284 train_acc= 0.29050 val_loss= 1.37535 val_acc= 0.26786 time= 0.03125
Epoch: 0017 train_loss= 1.38779 train_acc= 0.29190 val_loss= 1.37552 val_acc= 0.26786 time= 0.01563
Epoch: 0018 train_loss= 1.38719 train_acc= 0.27514 val_loss= 1.37569 val_acc= 0.26786 time= 0.03125
Epoch: 0019 train_loss= 1.38558 train_acc= 0.29190 val_loss= 1.37559 val_acc= 0.26786 time= 0.03125
Epoch: 0020 train_loss= 1.38618 train_acc= 0.29190 val_loss= 1.37539 val_acc= 0.28571 time= 0.01563
Epoch: 0021 train_loss= 1.39133 train_acc= 0.25978 val_loss= 1.37476 val_acc= 0.28571 time= 0.03125
Epoch: 0022 train_loss= 1.38582 train_acc= 0.29190 val_loss= 1.37404 val_acc= 0.28571 time= 0.01563
Epoch: 0023 train_loss= 1.40748 train_acc= 0.29190 val_loss= 1.37363 val_acc= 0.30357 time= 0.03125
Epoch: 0024 train_loss= 1.38292 train_acc= 0.30028 val_loss= 1.37320 val_acc= 0.30357 time= 0.01563
Epoch: 0025 train_loss= 1.38803 train_acc= 0.26816 val_loss= 1.37240 val_acc= 0.30357 time= 0.03125
Epoch: 0026 train_loss= 1.38798 train_acc= 0.26536 val_loss= 1.37161 val_acc= 0.30357 time= 0.01563
Epoch: 0027 train_loss= 1.38207 train_acc= 0.26536 val_loss= 1.37091 val_acc= 0.32143 time= 0.03125
Epoch: 0028 train_loss= 1.38648 train_acc= 0.29050 val_loss= 1.37007 val_acc= 0.33929 time= 0.01563
Epoch: 0029 train_loss= 1.38544 train_acc= 0.29330 val_loss= 1.36918 val_acc= 0.32143 time= 0.03125
Epoch: 0030 train_loss= 1.40195 train_acc= 0.26676 val_loss= 1.36818 val_acc= 0.32143 time= 0.01562
Epoch: 0031 train_loss= 1.37965 train_acc= 0.30587 val_loss= 1.36723 val_acc= 0.32143 time= 0.03125
Epoch: 0032 train_loss= 1.38245 train_acc= 0.30866 val_loss= 1.36630 val_acc= 0.32143 time= 0.01563
Epoch: 0033 train_loss= 1.38402 train_acc= 0.31704 val_loss= 1.36538 val_acc= 0.32143 time= 0.03125
Epoch: 0034 train_loss= 1.38685 train_acc= 0.30307 val_loss= 1.36448 val_acc= 0.32143 time= 0.01563
Epoch: 0035 train_loss= 1.38005 train_acc= 0.31145 val_loss= 1.36367 val_acc= 0.32143 time= 0.03125
Epoch: 0036 train_loss= 1.38268 train_acc= 0.30307 val_loss= 1.36284 val_acc= 0.33929 time= 0.03125
Epoch: 0037 train_loss= 1.38313 train_acc= 0.31425 val_loss= 1.36209 val_acc= 0.33929 time= 0.01563
Epoch: 0038 train_loss= 1.38098 train_acc= 0.29469 val_loss= 1.36132 val_acc= 0.33929 time= 0.03125
Epoch: 0039 train_loss= 1.37898 train_acc= 0.31425 val_loss= 1.36055 val_acc= 0.32143 time= 0.01563
Epoch: 0040 train_loss= 1.37941 train_acc= 0.30447 val_loss= 1.35972 val_acc= 0.32143 time= 0.03125
Epoch: 0041 train_loss= 1.37979 train_acc= 0.30866 val_loss= 1.35889 val_acc= 0.33929 time= 0.03125
Epoch: 0042 train_loss= 1.38872 train_acc= 0.30307 val_loss= 1.35818 val_acc= 0.35714 time= 0.01563
Epoch: 0043 train_loss= 1.37618 train_acc= 0.32682 val_loss= 1.35746 val_acc= 0.35714 time= 0.03125
Epoch: 0044 train_loss= 1.38123 train_acc= 0.29050 val_loss= 1.35676 val_acc= 0.37500 time= 0.03125
Epoch: 0045 train_loss= 1.37838 train_acc= 0.30726 val_loss= 1.35597 val_acc= 0.39286 time= 0.01562
Epoch: 0046 train_loss= 1.38201 train_acc= 0.30726 val_loss= 1.35535 val_acc= 0.39286 time= 0.03125
Epoch: 0047 train_loss= 1.37787 train_acc= 0.31844 val_loss= 1.35474 val_acc= 0.39286 time= 0.03125
Epoch: 0048 train_loss= 1.37777 train_acc= 0.31425 val_loss= 1.35414 val_acc= 0.39286 time= 0.01563
Epoch: 0049 train_loss= 1.38034 train_acc= 0.28352 val_loss= 1.35351 val_acc= 0.39286 time= 0.03125
Epoch: 0050 train_loss= 1.38004 train_acc= 0.30866 val_loss= 1.35290 val_acc= 0.37500 time= 0.01563
Epoch: 0051 train_loss= 1.37575 train_acc= 0.31006 val_loss= 1.35240 val_acc= 0.37500 time= 0.01563
Epoch: 0052 train_loss= 1.37669 train_acc= 0.33939 val_loss= 1.35181 val_acc= 0.39286 time= 0.03125
Epoch: 0053 train_loss= 1.37951 train_acc= 0.31006 val_loss= 1.35120 val_acc= 0.39286 time= 0.02035
Epoch: 0054 train_loss= 1.44719 train_acc= 0.26536 val_loss= 1.35008 val_acc= 0.39286 time= 0.02664
Epoch: 0055 train_loss= 1.37623 train_acc= 0.31145 val_loss= 1.34907 val_acc= 0.39286 time= 0.01563
Epoch: 0056 train_loss= 1.37335 train_acc= 0.32123 val_loss= 1.34812 val_acc= 0.37500 time= 0.03125
Epoch: 0057 train_loss= 1.37619 train_acc= 0.31704 val_loss= 1.34724 val_acc= 0.37500 time= 0.01563
Epoch: 0058 train_loss= 1.37850 train_acc= 0.32263 val_loss= 1.34661 val_acc= 0.37500 time= 0.03125
Epoch: 0059 train_loss= 1.38160 train_acc= 0.32542 val_loss= 1.34610 val_acc= 0.37500 time= 0.01563
Epoch: 0060 train_loss= 1.37885 train_acc= 0.32682 val_loss= 1.34564 val_acc= 0.37500 time= 0.03125
Epoch: 0061 train_loss= 1.37632 train_acc= 0.31564 val_loss= 1.34533 val_acc= 0.39286 time= 0.03125
Epoch: 0062 train_loss= 1.38302 train_acc= 0.31704 val_loss= 1.34511 val_acc= 0.39286 time= 0.01563
Epoch: 0063 train_loss= 1.38177 train_acc= 0.30168 val_loss= 1.34492 val_acc= 0.37500 time= 0.03125
Epoch: 0064 train_loss= 1.37789 train_acc= 0.33659 val_loss= 1.34464 val_acc= 0.37500 time= 0.01563
Epoch: 0065 train_loss= 1.37946 train_acc= 0.30866 val_loss= 1.34446 val_acc= 0.37500 time= 0.03125
Epoch: 0066 train_loss= 1.37734 train_acc= 0.31564 val_loss= 1.34426 val_acc= 0.37500 time= 0.01562
Epoch: 0067 train_loss= 1.37702 train_acc= 0.30866 val_loss= 1.34409 val_acc= 0.37500 time= 0.03125
Epoch: 0068 train_loss= 1.38101 train_acc= 0.32123 val_loss= 1.34380 val_acc= 0.39286 time= 0.01563
Epoch: 0069 train_loss= 1.38097 train_acc= 0.29749 val_loss= 1.34349 val_acc= 0.39286 time= 0.03125
Epoch: 0070 train_loss= 1.37343 train_acc= 0.32542 val_loss= 1.34311 val_acc= 0.39286 time= 0.01563
Epoch: 0071 train_loss= 1.38105 train_acc= 0.30168 val_loss= 1.34280 val_acc= 0.39286 time= 0.03125
Epoch: 0072 train_loss= 1.37410 train_acc= 0.30447 val_loss= 1.34249 val_acc= 0.39286 time= 0.01563
Epoch: 0073 train_loss= 1.37818 train_acc= 0.31844 val_loss= 1.34218 val_acc= 0.39286 time= 0.03125
Epoch: 0074 train_loss= 1.38314 train_acc= 0.31844 val_loss= 1.34194 val_acc= 0.41071 time= 0.01563
Epoch: 0075 train_loss= 1.37211 train_acc= 0.31704 val_loss= 1.34166 val_acc= 0.41071 time= 0.03125
Epoch: 0076 train_loss= 1.37119 train_acc= 0.31564 val_loss= 1.34139 val_acc= 0.39286 time= 0.01563
Epoch: 0077 train_loss= 1.38862 train_acc= 0.30028 val_loss= 1.34097 val_acc= 0.39286 time= 0.03125
Epoch: 0078 train_loss= 1.37243 train_acc= 0.30447 val_loss= 1.34057 val_acc= 0.39286 time= 0.01563
Epoch: 0079 train_loss= 1.37046 train_acc= 0.32263 val_loss= 1.34001 val_acc= 0.39286 time= 0.03125
Epoch: 0080 train_loss= 1.37539 train_acc= 0.31145 val_loss= 1.33940 val_acc= 0.39286 time= 0.03125
Epoch: 0081 train_loss= 1.37786 train_acc= 0.32402 val_loss= 1.33870 val_acc= 0.39286 time= 0.01562
Epoch: 0082 train_loss= 1.37177 train_acc= 0.32682 val_loss= 1.33804 val_acc= 0.39286 time= 0.03125
Epoch: 0083 train_loss= 1.37308 train_acc= 0.32542 val_loss= 1.33746 val_acc= 0.41071 time= 0.03125
Epoch: 0084 train_loss= 1.37854 train_acc= 0.31285 val_loss= 1.33707 val_acc= 0.41071 time= 0.01563
Epoch: 0085 train_loss= 1.37256 train_acc= 0.31844 val_loss= 1.33669 val_acc= 0.41071 time= 0.01563
Epoch: 0086 train_loss= 1.36832 train_acc= 0.33240 val_loss= 1.33629 val_acc= 0.41071 time= 0.03125
Epoch: 0087 train_loss= 1.38075 train_acc= 0.32123 val_loss= 1.33600 val_acc= 0.41071 time= 0.03125
Epoch: 0088 train_loss= 1.37175 train_acc= 0.32263 val_loss= 1.33549 val_acc= 0.41071 time= 0.01563
Epoch: 0089 train_loss= 1.37420 train_acc= 0.33380 val_loss= 1.33480 val_acc= 0.41071 time= 0.03125
Epoch: 0090 train_loss= 1.37280 train_acc= 0.30866 val_loss= 1.33435 val_acc= 0.41071 time= 0.03125
Epoch: 0091 train_loss= 1.37871 train_acc= 0.30587 val_loss= 1.33393 val_acc= 0.41071 time= 0.01563
Epoch: 0092 train_loss= 1.37408 train_acc= 0.31564 val_loss= 1.33385 val_acc= 0.41071 time= 0.03125
Epoch: 0093 train_loss= 1.37715 train_acc= 0.30307 val_loss= 1.33369 val_acc= 0.41071 time= 0.01562
Epoch: 0094 train_loss= 1.38027 train_acc= 0.29469 val_loss= 1.33337 val_acc= 0.41071 time= 0.03125
Epoch: 0095 train_loss= 1.37849 train_acc= 0.30168 val_loss= 1.33304 val_acc= 0.41071 time= 0.01563
Epoch: 0096 train_loss= 1.37366 train_acc= 0.30587 val_loss= 1.33261 val_acc= 0.42857 time= 0.03125
Epoch: 0097 train_loss= 1.37015 train_acc= 0.33240 val_loss= 1.33232 val_acc= 0.42857 time= 0.01563
Epoch: 0098 train_loss= 1.37366 train_acc= 0.32402 val_loss= 1.33199 val_acc= 0.42857 time= 0.03125
Epoch: 0099 train_loss= 1.36697 train_acc= 0.33659 val_loss= 1.33141 val_acc= 0.42857 time= 0.01563
Epoch: 0100 train_loss= 1.38108 train_acc= 0.32682 val_loss= 1.33061 val_acc= 0.41071 time= 0.03125
Epoch: 0101 train_loss= 1.37397 train_acc= 0.31006 val_loss= 1.32984 val_acc= 0.41071 time= 0.01563
Epoch: 0102 train_loss= 1.37184 train_acc= 0.32682 val_loss= 1.32903 val_acc= 0.41071 time= 0.03125
Epoch: 0103 train_loss= 1.37048 train_acc= 0.32542 val_loss= 1.32785 val_acc= 0.41071 time= 0.03125
Epoch: 0104 train_loss= 1.36960 train_acc= 0.32821 val_loss= 1.32640 val_acc= 0.41071 time= 0.01562
Epoch: 0105 train_loss= 1.37453 train_acc= 0.32123 val_loss= 1.32475 val_acc= 0.41071 time= 0.03125
Epoch: 0106 train_loss= 1.37470 train_acc= 0.32542 val_loss= 1.32303 val_acc= 0.41071 time= 0.01563
Epoch: 0107 train_loss= 1.37440 train_acc= 0.32123 val_loss= 1.32097 val_acc= 0.41071 time= 0.03125
Epoch: 0108 train_loss= 1.37334 train_acc= 0.31425 val_loss= 1.31956 val_acc= 0.41071 time= 0.01562
Epoch: 0109 train_loss= 1.36558 train_acc= 0.32682 val_loss= 1.31829 val_acc= 0.41071 time= 0.01563
Epoch: 0110 train_loss= 1.37358 train_acc= 0.32263 val_loss= 1.31662 val_acc= 0.39286 time= 0.03144
Epoch: 0111 train_loss= 1.37221 train_acc= 0.32682 val_loss= 1.31489 val_acc= 0.37500 time= 0.03126
Epoch: 0112 train_loss= 1.37568 train_acc= 0.33939 val_loss= 1.31351 val_acc= 0.37500 time= 0.01563
Epoch: 0113 train_loss= 1.37442 train_acc= 0.33520 val_loss= 1.31276 val_acc= 0.37500 time= 0.03125
Epoch: 0114 train_loss= 1.37438 train_acc= 0.31145 val_loss= 1.31221 val_acc= 0.35714 time= 0.01563
Epoch: 0115 train_loss= 1.37496 train_acc= 0.31006 val_loss= 1.31202 val_acc= 0.35714 time= 0.03125
Epoch: 0116 train_loss= 1.37473 train_acc= 0.32123 val_loss= 1.31210 val_acc= 0.37500 time= 0.01563
Epoch: 0117 train_loss= 1.36993 train_acc= 0.34078 val_loss= 1.31219 val_acc= 0.37500 time= 0.03125
Epoch: 0118 train_loss= 1.37061 train_acc= 0.31564 val_loss= 1.31242 val_acc= 0.37500 time= 0.01563
Epoch: 0119 train_loss= 1.37206 train_acc= 0.31564 val_loss= 1.31267 val_acc= 0.37500 time= 0.03125
Epoch: 0120 train_loss= 1.37236 train_acc= 0.33240 val_loss= 1.31332 val_acc= 0.37500 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 1.38917 accuracy= 0.28319 time= 0.01563 
