Epoch: 0001 train_loss= 1.39413 train_acc= 0.23127 val_loss= 1.39043 val_acc= 0.41071 time= 0.14063
Epoch: 0002 train_loss= 1.39092 train_acc= 0.32248 val_loss= 1.38730 val_acc= 0.41071 time= 0.01563
Epoch: 0003 train_loss= 1.38819 train_acc= 0.32248 val_loss= 1.38444 val_acc= 0.41071 time= 0.01563
Epoch: 0004 train_loss= 1.38591 train_acc= 0.32248 val_loss= 1.38192 val_acc= 0.41071 time= 0.01563
Epoch: 0005 train_loss= 1.38421 train_acc= 0.32248 val_loss= 1.37968 val_acc= 0.41071 time= 0.01563
Epoch: 0006 train_loss= 1.38262 train_acc= 0.32248 val_loss= 1.37766 val_acc= 0.41071 time= 0.01563
Epoch: 0007 train_loss= 1.38184 train_acc= 0.32248 val_loss= 1.37583 val_acc= 0.41071 time= 0.01563
Epoch: 0008 train_loss= 1.38097 train_acc= 0.32248 val_loss= 1.37413 val_acc= 0.41071 time= 0.01563
Epoch: 0009 train_loss= 1.38082 train_acc= 0.32248 val_loss= 1.37260 val_acc= 0.41071 time= 0.01563
Epoch: 0010 train_loss= 1.38039 train_acc= 0.32248 val_loss= 1.37119 val_acc= 0.41071 time= 0.01563
Epoch: 0011 train_loss= 1.38045 train_acc= 0.32248 val_loss= 1.36985 val_acc= 0.41071 time= 0.01563
Epoch: 0012 train_loss= 1.37938 train_acc= 0.32248 val_loss= 1.36861 val_acc= 0.41071 time= 0.01563
Epoch: 0013 train_loss= 1.37959 train_acc= 0.32248 val_loss= 1.36741 val_acc= 0.41071 time= 0.00000
Epoch: 0014 train_loss= 1.37856 train_acc= 0.32248 val_loss= 1.36626 val_acc= 0.41071 time= 0.01563
Epoch: 0015 train_loss= 1.37827 train_acc= 0.32248 val_loss= 1.36512 val_acc= 0.41071 time= 0.01563
Epoch: 0016 train_loss= 1.37874 train_acc= 0.32248 val_loss= 1.36412 val_acc= 0.41071 time= 0.01562
Epoch: 0017 train_loss= 1.37747 train_acc= 0.32248 val_loss= 1.36319 val_acc= 0.41071 time= 0.01563
Epoch: 0018 train_loss= 1.37670 train_acc= 0.32248 val_loss= 1.36235 val_acc= 0.41071 time= 0.01563
Epoch: 0019 train_loss= 1.37637 train_acc= 0.32248 val_loss= 1.36166 val_acc= 0.41071 time= 0.01563
Epoch: 0020 train_loss= 1.37721 train_acc= 0.32248 val_loss= 1.36103 val_acc= 0.41071 time= 0.01563
Epoch: 0021 train_loss= 1.37631 train_acc= 0.32248 val_loss= 1.36051 val_acc= 0.41071 time= 0.01563
Epoch: 0022 train_loss= 1.37576 train_acc= 0.32248 val_loss= 1.36004 val_acc= 0.41071 time= 0.01563
Epoch: 0023 train_loss= 1.37532 train_acc= 0.32248 val_loss= 1.35966 val_acc= 0.41071 time= 0.01563
Epoch: 0024 train_loss= 1.37545 train_acc= 0.32248 val_loss= 1.35928 val_acc= 0.41071 time= 0.01563
Epoch: 0025 train_loss= 1.37505 train_acc= 0.32248 val_loss= 1.35886 val_acc= 0.41071 time= 0.01563
Epoch: 0026 train_loss= 1.37483 train_acc= 0.32248 val_loss= 1.35847 val_acc= 0.41071 time= 0.01563
Epoch: 0027 train_loss= 1.37421 train_acc= 0.32248 val_loss= 1.35801 val_acc= 0.41071 time= 0.01563
Epoch: 0028 train_loss= 1.37341 train_acc= 0.32248 val_loss= 1.35750 val_acc= 0.41071 time= 0.01563
Epoch: 0029 train_loss= 1.37327 train_acc= 0.32248 val_loss= 1.35702 val_acc= 0.41071 time= 0.01563
Epoch: 0030 train_loss= 1.37420 train_acc= 0.32248 val_loss= 1.35665 val_acc= 0.41071 time= 0.01563
Epoch: 0031 train_loss= 1.37376 train_acc= 0.32248 val_loss= 1.35632 val_acc= 0.41071 time= 0.01562
Epoch: 0032 train_loss= 1.37382 train_acc= 0.32248 val_loss= 1.35612 val_acc= 0.41071 time= 0.01563
Epoch: 0033 train_loss= 1.37392 train_acc= 0.32248 val_loss= 1.35598 val_acc= 0.41071 time= 0.01563
Epoch: 0034 train_loss= 1.37405 train_acc= 0.32248 val_loss= 1.35591 val_acc= 0.41071 time= 0.01563
Epoch: 0035 train_loss= 1.37334 train_acc= 0.32248 val_loss= 1.35584 val_acc= 0.41071 time= 0.01563
Epoch: 0036 train_loss= 1.37299 train_acc= 0.32248 val_loss= 1.35573 val_acc= 0.41071 time= 0.00000
Epoch: 0037 train_loss= 1.37247 train_acc= 0.32248 val_loss= 1.35549 val_acc= 0.41071 time= 0.01563
Epoch: 0038 train_loss= 1.37283 train_acc= 0.32248 val_loss= 1.35524 val_acc= 0.41071 time= 0.01563
Epoch: 0039 train_loss= 1.37308 train_acc= 0.32248 val_loss= 1.35512 val_acc= 0.41071 time= 0.01563
Epoch: 0040 train_loss= 1.37291 train_acc= 0.32248 val_loss= 1.35510 val_acc= 0.41071 time= 0.01563
Epoch: 0041 train_loss= 1.37254 train_acc= 0.32248 val_loss= 1.35505 val_acc= 0.41071 time= 0.01563
Epoch: 0042 train_loss= 1.37194 train_acc= 0.32248 val_loss= 1.35491 val_acc= 0.41071 time= 0.01562
Epoch: 0043 train_loss= 1.37244 train_acc= 0.32248 val_loss= 1.35483 val_acc= 0.41071 time= 0.01563
Epoch: 0044 train_loss= 1.37195 train_acc= 0.32248 val_loss= 1.35449 val_acc= 0.41071 time= 0.01563
Epoch: 0045 train_loss= 1.37227 train_acc= 0.32248 val_loss= 1.35422 val_acc= 0.41071 time= 0.01563
Epoch: 0046 train_loss= 1.37169 train_acc= 0.32248 val_loss= 1.35391 val_acc= 0.41071 time= 0.01563
Epoch: 0047 train_loss= 1.37211 train_acc= 0.32248 val_loss= 1.35368 val_acc= 0.41071 time= 0.01563
Epoch: 0048 train_loss= 1.37155 train_acc= 0.32248 val_loss= 1.35348 val_acc= 0.41071 time= 0.01562
Epoch: 0049 train_loss= 1.37238 train_acc= 0.32248 val_loss= 1.35342 val_acc= 0.41071 time= 0.01563
Epoch: 0050 train_loss= 1.37259 train_acc= 0.32248 val_loss= 1.35350 val_acc= 0.41071 time= 0.01563
Epoch: 0051 train_loss= 1.37147 train_acc= 0.32248 val_loss= 1.35349 val_acc= 0.41071 time= 0.01562
Epoch: 0052 train_loss= 1.37147 train_acc= 0.32248 val_loss= 1.35340 val_acc= 0.41071 time= 0.01563
Epoch: 0053 train_loss= 1.37197 train_acc= 0.32248 val_loss= 1.35326 val_acc= 0.41071 time= 0.01563
Epoch: 0054 train_loss= 1.37147 train_acc= 0.32248 val_loss= 1.35314 val_acc= 0.41071 time= 0.01563
Epoch: 0055 train_loss= 1.37157 train_acc= 0.32248 val_loss= 1.35291 val_acc= 0.41071 time= 0.01563
Epoch: 0056 train_loss= 1.37138 train_acc= 0.32248 val_loss= 1.35287 val_acc= 0.41071 time= 0.01563
Epoch: 0057 train_loss= 1.37153 train_acc= 0.32248 val_loss= 1.35298 val_acc= 0.41071 time= 0.01563
Epoch: 0058 train_loss= 1.37167 train_acc= 0.32248 val_loss= 1.35328 val_acc= 0.41071 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 1.38252 accuracy= 0.30088 time= 0.00000 
