Epoch: 0001 train_loss= 1.39406 train_acc= 0.25559 val_loss= 1.39069 val_acc= 0.35714 time= 0.37503
Epoch: 0002 train_loss= 1.39085 train_acc= 0.29749 val_loss= 1.38788 val_acc= 0.35714 time= 0.01562
Epoch: 0003 train_loss= 1.38835 train_acc= 0.30168 val_loss= 1.38575 val_acc= 0.35714 time= 0.01563
Epoch: 0004 train_loss= 1.38646 train_acc= 0.29609 val_loss= 1.38420 val_acc= 0.35714 time= 0.01563
Epoch: 0005 train_loss= 1.38509 train_acc= 0.30866 val_loss= 1.38311 val_acc= 0.35714 time= 0.01563
Epoch: 0006 train_loss= 1.38428 train_acc= 0.30587 val_loss= 1.38221 val_acc= 0.35714 time= 0.01563
Epoch: 0007 train_loss= 1.38342 train_acc= 0.30587 val_loss= 1.38137 val_acc= 0.35714 time= 0.01563
Epoch: 0008 train_loss= 1.38346 train_acc= 0.30307 val_loss= 1.38058 val_acc= 0.35714 time= 0.01563
Epoch: 0009 train_loss= 1.38298 train_acc= 0.30447 val_loss= 1.37976 val_acc= 0.35714 time= 0.01563
Epoch: 0010 train_loss= 1.38277 train_acc= 0.30447 val_loss= 1.37904 val_acc= 0.35714 time= 0.01563
Epoch: 0011 train_loss= 1.38261 train_acc= 0.30447 val_loss= 1.37825 val_acc= 0.35714 time= 0.01563
Epoch: 0012 train_loss= 1.38264 train_acc= 0.30447 val_loss= 1.37739 val_acc= 0.35714 time= 0.01563
Epoch: 0013 train_loss= 1.38275 train_acc= 0.30447 val_loss= 1.37655 val_acc= 0.35714 time= 0.01563
Epoch: 0014 train_loss= 1.38218 train_acc= 0.30447 val_loss= 1.37571 val_acc= 0.35714 time= 0.01563
Epoch: 0015 train_loss= 1.38195 train_acc= 0.30447 val_loss= 1.37495 val_acc= 0.35714 time= 0.01563
Epoch: 0016 train_loss= 1.38161 train_acc= 0.30447 val_loss= 1.37424 val_acc= 0.35714 time= 0.01562
Epoch: 0017 train_loss= 1.38144 train_acc= 0.30447 val_loss= 1.37361 val_acc= 0.35714 time= 0.01563
Epoch: 0018 train_loss= 1.38131 train_acc= 0.30447 val_loss= 1.37309 val_acc= 0.35714 time= 0.01563
Epoch: 0019 train_loss= 1.38093 train_acc= 0.30447 val_loss= 1.37266 val_acc= 0.35714 time= 0.01563
Epoch: 0020 train_loss= 1.38070 train_acc= 0.30447 val_loss= 1.37226 val_acc= 0.35714 time= 0.01563
Epoch: 0021 train_loss= 1.38033 train_acc= 0.30447 val_loss= 1.37192 val_acc= 0.35714 time= 0.01563
Epoch: 0022 train_loss= 1.38000 train_acc= 0.30447 val_loss= 1.37160 val_acc= 0.35714 time= 0.01563
Epoch: 0023 train_loss= 1.38016 train_acc= 0.30447 val_loss= 1.37133 val_acc= 0.35714 time= 0.01563
Epoch: 0024 train_loss= 1.37980 train_acc= 0.30447 val_loss= 1.37102 val_acc= 0.35714 time= 0.01563
Epoch: 0025 train_loss= 1.37980 train_acc= 0.30447 val_loss= 1.37064 val_acc= 0.35714 time= 0.01563
Epoch: 0026 train_loss= 1.37998 train_acc= 0.30447 val_loss= 1.37035 val_acc= 0.35714 time= 0.01563
Epoch: 0027 train_loss= 1.37980 train_acc= 0.30447 val_loss= 1.37009 val_acc= 0.35714 time= 0.01563
Epoch: 0028 train_loss= 1.37952 train_acc= 0.30447 val_loss= 1.36986 val_acc= 0.35714 time= 0.01563
Epoch: 0029 train_loss= 1.37936 train_acc= 0.30447 val_loss= 1.36963 val_acc= 0.35714 time= 0.01563
Epoch: 0030 train_loss= 1.37916 train_acc= 0.30447 val_loss= 1.36938 val_acc= 0.35714 time= 0.01563
Epoch: 0031 train_loss= 1.37879 train_acc= 0.30447 val_loss= 1.36908 val_acc= 0.35714 time= 0.01563
Epoch: 0032 train_loss= 1.37886 train_acc= 0.30447 val_loss= 1.36880 val_acc= 0.35714 time= 0.01563
Epoch: 0033 train_loss= 1.37838 train_acc= 0.30447 val_loss= 1.36849 val_acc= 0.35714 time= 0.01563
Epoch: 0034 train_loss= 1.37908 train_acc= 0.30447 val_loss= 1.36831 val_acc= 0.35714 time= 0.01563
Epoch: 0035 train_loss= 1.37868 train_acc= 0.30447 val_loss= 1.36817 val_acc= 0.35714 time= 0.01563
Epoch: 0036 train_loss= 1.37860 train_acc= 0.30447 val_loss= 1.36794 val_acc= 0.35714 time= 0.01563
Epoch: 0037 train_loss= 1.37837 train_acc= 0.30447 val_loss= 1.36771 val_acc= 0.35714 time= 0.01563
Epoch: 0038 train_loss= 1.37876 train_acc= 0.30447 val_loss= 1.36751 val_acc= 0.35714 time= 0.01563
Epoch: 0039 train_loss= 1.37826 train_acc= 0.30447 val_loss= 1.36727 val_acc= 0.35714 time= 0.01563
Epoch: 0040 train_loss= 1.37808 train_acc= 0.30447 val_loss= 1.36699 val_acc= 0.35714 time= 0.01563
Epoch: 0041 train_loss= 1.37826 train_acc= 0.30447 val_loss= 1.36675 val_acc= 0.35714 time= 0.01563
Epoch: 0042 train_loss= 1.37806 train_acc= 0.30447 val_loss= 1.36662 val_acc= 0.35714 time= 0.01563
Epoch: 0043 train_loss= 1.37806 train_acc= 0.30447 val_loss= 1.36636 val_acc= 0.35714 time= 0.01563
Epoch: 0044 train_loss= 1.37815 train_acc= 0.30447 val_loss= 1.36619 val_acc= 0.35714 time= 0.01563
Epoch: 0045 train_loss= 1.37782 train_acc= 0.30447 val_loss= 1.36637 val_acc= 0.35714 time= 0.01563
Epoch: 0046 train_loss= 1.37778 train_acc= 0.30447 val_loss= 1.36644 val_acc= 0.35714 time= 0.01563
Epoch: 0047 train_loss= 1.37770 train_acc= 0.30447 val_loss= 1.36628 val_acc= 0.35714 time= 0.01563
Epoch: 0048 train_loss= 1.37809 train_acc= 0.30447 val_loss= 1.36592 val_acc= 0.35714 time= 0.01563
Epoch: 0049 train_loss= 1.37774 train_acc= 0.30447 val_loss= 1.36537 val_acc= 0.35714 time= 0.01563
Epoch: 0050 train_loss= 1.37757 train_acc= 0.30447 val_loss= 1.36490 val_acc= 0.35714 time= 0.01563
Epoch: 0051 train_loss= 1.37746 train_acc= 0.30447 val_loss= 1.36461 val_acc= 0.35714 time= 0.01563
Epoch: 0052 train_loss= 1.37794 train_acc= 0.30447 val_loss= 1.36476 val_acc= 0.35714 time= 0.01563
Epoch: 0053 train_loss= 1.37737 train_acc= 0.30447 val_loss= 1.36483 val_acc= 0.35714 time= 0.01563
Epoch: 0054 train_loss= 1.37730 train_acc= 0.30447 val_loss= 1.36513 val_acc= 0.35714 time= 0.01563
Epoch: 0055 train_loss= 1.37747 train_acc= 0.30447 val_loss= 1.36535 val_acc= 0.35714 time= 0.01563
Epoch: 0056 train_loss= 1.37713 train_acc= 0.30447 val_loss= 1.36541 val_acc= 0.35714 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 1.38281 accuracy= 0.31858 time= 0.00000 
