Epoch: 0001 train_loss= 1.39434 train_acc= 0.23828 val_loss= 1.39109 val_acc= 0.37500 time= 0.25002
Epoch: 0002 train_loss= 1.39129 train_acc= 0.31055 val_loss= 1.38844 val_acc= 0.37500 time= 0.01563
Epoch: 0003 train_loss= 1.38865 train_acc= 0.31055 val_loss= 1.38622 val_acc= 0.37500 time= 0.01563
Epoch: 0004 train_loss= 1.38670 train_acc= 0.31055 val_loss= 1.38444 val_acc= 0.37500 time= 0.01563
Epoch: 0005 train_loss= 1.38500 train_acc= 0.31055 val_loss= 1.38309 val_acc= 0.37500 time= 0.01563
Epoch: 0006 train_loss= 1.38381 train_acc= 0.31055 val_loss= 1.38207 val_acc= 0.37500 time= 0.01563
Epoch: 0007 train_loss= 1.38303 train_acc= 0.31055 val_loss= 1.38132 val_acc= 0.37500 time= 0.01563
Epoch: 0008 train_loss= 1.38235 train_acc= 0.31055 val_loss= 1.38075 val_acc= 0.37500 time= 0.01563
Epoch: 0009 train_loss= 1.38135 train_acc= 0.31055 val_loss= 1.38031 val_acc= 0.37500 time= 0.01563
Epoch: 0010 train_loss= 1.38115 train_acc= 0.31055 val_loss= 1.37991 val_acc= 0.37500 time= 0.01563
Epoch: 0011 train_loss= 1.38077 train_acc= 0.31055 val_loss= 1.37956 val_acc= 0.37500 time= 0.01563
Epoch: 0012 train_loss= 1.37991 train_acc= 0.31055 val_loss= 1.37923 val_acc= 0.37500 time= 0.01563
Epoch: 0013 train_loss= 1.37993 train_acc= 0.31055 val_loss= 1.37887 val_acc= 0.37500 time= 0.01563
Epoch: 0014 train_loss= 1.37983 train_acc= 0.31055 val_loss= 1.37851 val_acc= 0.37500 time= 0.01563
Epoch: 0015 train_loss= 1.37949 train_acc= 0.31055 val_loss= 1.37815 val_acc= 0.37500 time= 0.01563
Epoch: 0016 train_loss= 1.37853 train_acc= 0.31055 val_loss= 1.37776 val_acc= 0.37500 time= 0.01563
Epoch: 0017 train_loss= 1.37797 train_acc= 0.31055 val_loss= 1.37737 val_acc= 0.37500 time= 0.01563
Epoch: 0018 train_loss= 1.37763 train_acc= 0.31055 val_loss= 1.37703 val_acc= 0.37500 time= 0.01563
Epoch: 0019 train_loss= 1.37773 train_acc= 0.31055 val_loss= 1.37670 val_acc= 0.37500 time= 0.01563
Epoch: 0020 train_loss= 1.37742 train_acc= 0.31055 val_loss= 1.37639 val_acc= 0.37500 time= 0.01563
Epoch: 0021 train_loss= 1.37661 train_acc= 0.31055 val_loss= 1.37610 val_acc= 0.37500 time= 0.01562
Epoch: 0022 train_loss= 1.37685 train_acc= 0.31055 val_loss= 1.37572 val_acc= 0.37500 time= 0.01563
Epoch: 0023 train_loss= 1.37619 train_acc= 0.31055 val_loss= 1.37542 val_acc= 0.37500 time= 0.01563
Epoch: 0024 train_loss= 1.37660 train_acc= 0.31055 val_loss= 1.37520 val_acc= 0.37500 time= 0.01563
Epoch: 0025 train_loss= 1.37581 train_acc= 0.31055 val_loss= 1.37502 val_acc= 0.37500 time= 0.01563
Epoch: 0026 train_loss= 1.37584 train_acc= 0.31055 val_loss= 1.37473 val_acc= 0.37500 time= 0.01563
Epoch: 0027 train_loss= 1.37564 train_acc= 0.31055 val_loss= 1.37439 val_acc= 0.37500 time= 0.01563
Epoch: 0028 train_loss= 1.37481 train_acc= 0.31055 val_loss= 1.37412 val_acc= 0.37500 time= 0.01563
Epoch: 0029 train_loss= 1.37487 train_acc= 0.31055 val_loss= 1.37387 val_acc= 0.37500 time= 0.01563
Epoch: 0030 train_loss= 1.37488 train_acc= 0.31055 val_loss= 1.37356 val_acc= 0.37500 time= 0.01563
Epoch: 0031 train_loss= 1.37488 train_acc= 0.31055 val_loss= 1.37318 val_acc= 0.37500 time= 0.01563
Epoch: 0032 train_loss= 1.37475 train_acc= 0.31055 val_loss= 1.37281 val_acc= 0.37500 time= 0.01563
Epoch: 0033 train_loss= 1.37440 train_acc= 0.31055 val_loss= 1.37249 val_acc= 0.37500 time= 0.01562
Epoch: 0034 train_loss= 1.37448 train_acc= 0.31055 val_loss= 1.37221 val_acc= 0.37500 time= 0.01563
Epoch: 0035 train_loss= 1.37410 train_acc= 0.31055 val_loss= 1.37193 val_acc= 0.37500 time= 0.01563
Epoch: 0036 train_loss= 1.37390 train_acc= 0.31055 val_loss= 1.37171 val_acc= 0.37500 time= 0.01563
Epoch: 0037 train_loss= 1.37429 train_acc= 0.31055 val_loss= 1.37161 val_acc= 0.37500 time= 0.01563
Epoch: 0038 train_loss= 1.37414 train_acc= 0.31055 val_loss= 1.37154 val_acc= 0.37500 time= 0.01563
Epoch: 0039 train_loss= 1.37331 train_acc= 0.31055 val_loss= 1.37154 val_acc= 0.37500 time= 0.01563
Epoch: 0040 train_loss= 1.37324 train_acc= 0.31055 val_loss= 1.37151 val_acc= 0.37500 time= 0.01563
Epoch: 0041 train_loss= 1.37354 train_acc= 0.31055 val_loss= 1.37137 val_acc= 0.37500 time= 0.01563
Epoch: 0042 train_loss= 1.37282 train_acc= 0.31055 val_loss= 1.37119 val_acc= 0.37500 time= 0.01563
Epoch: 0043 train_loss= 1.37301 train_acc= 0.31055 val_loss= 1.37097 val_acc= 0.37500 time= 0.01563
Epoch: 0044 train_loss= 1.37282 train_acc= 0.31055 val_loss= 1.37075 val_acc= 0.37500 time= 0.01563
Epoch: 0045 train_loss= 1.37382 train_acc= 0.31055 val_loss= 1.37051 val_acc= 0.37500 time= 0.01563
Epoch: 0046 train_loss= 1.37299 train_acc= 0.31055 val_loss= 1.37027 val_acc= 0.37500 time= 0.01563
Epoch: 0047 train_loss= 1.37284 train_acc= 0.31055 val_loss= 1.37012 val_acc= 0.37500 time= 0.01563
Epoch: 0048 train_loss= 1.37216 train_acc= 0.31055 val_loss= 1.36994 val_acc= 0.37500 time= 0.01563
Epoch: 0049 train_loss= 1.37258 train_acc= 0.31055 val_loss= 1.36977 val_acc= 0.37500 time= 0.01563
Epoch: 0050 train_loss= 1.37236 train_acc= 0.31055 val_loss= 1.36962 val_acc= 0.37500 time= 0.01563
Epoch: 0051 train_loss= 1.37253 train_acc= 0.31055 val_loss= 1.36946 val_acc= 0.37500 time= 0.01563
Epoch: 0052 train_loss= 1.37261 train_acc= 0.31055 val_loss= 1.36934 val_acc= 0.37500 time= 0.01563
Epoch: 0053 train_loss= 1.37256 train_acc= 0.31055 val_loss= 1.36929 val_acc= 0.37500 time= 0.01563
Epoch: 0054 train_loss= 1.37236 train_acc= 0.31055 val_loss= 1.36926 val_acc= 0.37500 time= 0.01563
Epoch: 0055 train_loss= 1.37257 train_acc= 0.31055 val_loss= 1.36923 val_acc= 0.37500 time= 0.01563
Epoch: 0056 train_loss= 1.37220 train_acc= 0.31055 val_loss= 1.36925 val_acc= 0.37500 time= 0.01563
Epoch: 0057 train_loss= 1.37242 train_acc= 0.31055 val_loss= 1.36922 val_acc= 0.37500 time= 0.01563
Epoch: 0058 train_loss= 1.37227 train_acc= 0.31055 val_loss= 1.36926 val_acc= 0.37500 time= 0.01563
Epoch: 0059 train_loss= 1.37205 train_acc= 0.31055 val_loss= 1.36932 val_acc= 0.37500 time= 0.01562
Epoch: 0060 train_loss= 1.37177 train_acc= 0.31055 val_loss= 1.36924 val_acc= 0.37500 time= 0.01563
Epoch: 0061 train_loss= 1.37197 train_acc= 0.31055 val_loss= 1.36914 val_acc= 0.37500 time= 0.01563
Epoch: 0062 train_loss= 1.37257 train_acc= 0.31055 val_loss= 1.36886 val_acc= 0.37500 time= 0.01563
Epoch: 0063 train_loss= 1.37250 train_acc= 0.31055 val_loss= 1.36861 val_acc= 0.37500 time= 0.01563
Epoch: 0064 train_loss= 1.37172 train_acc= 0.31055 val_loss= 1.36852 val_acc= 0.37500 time= 0.01563
Epoch: 0065 train_loss= 1.37151 train_acc= 0.31055 val_loss= 1.36851 val_acc= 0.37500 time= 0.01563
Epoch: 0066 train_loss= 1.37250 train_acc= 0.31055 val_loss= 1.36845 val_acc= 0.37500 time= 0.01563
Epoch: 0067 train_loss= 1.37191 train_acc= 0.31055 val_loss= 1.36852 val_acc= 0.37500 time= 0.01563
Epoch: 0068 train_loss= 1.37196 train_acc= 0.31055 val_loss= 1.36860 val_acc= 0.37500 time= 0.01562
Epoch: 0069 train_loss= 1.37165 train_acc= 0.31055 val_loss= 1.36854 val_acc= 0.37500 time= 0.01563
Epoch: 0070 train_loss= 1.37187 train_acc= 0.31055 val_loss= 1.36846 val_acc= 0.37500 time= 0.01563
Epoch: 0071 train_loss= 1.37150 train_acc= 0.31055 val_loss= 1.36838 val_acc= 0.37500 time= 0.01563
Epoch: 0072 train_loss= 1.37205 train_acc= 0.31055 val_loss= 1.36817 val_acc= 0.37500 time= 0.01563
Epoch: 0073 train_loss= 1.37174 train_acc= 0.31055 val_loss= 1.36778 val_acc= 0.37500 time= 0.01563
Epoch: 0074 train_loss= 1.37144 train_acc= 0.31055 val_loss= 1.36771 val_acc= 0.37500 time= 0.01563
Epoch: 0075 train_loss= 1.37151 train_acc= 0.31055 val_loss= 1.36778 val_acc= 0.37500 time= 0.01563
Epoch: 0076 train_loss= 1.37187 train_acc= 0.31055 val_loss= 1.36804 val_acc= 0.37500 time= 0.01563
Epoch: 0077 train_loss= 1.37071 train_acc= 0.31055 val_loss= 1.36832 val_acc= 0.37500 time= 0.03125
Early stopping...
Optimization Finished!
Test set results: cost= 1.37893 accuracy= 0.31858 time= 0.00000 
