Epoch: 0001 train_loss= 1.39434 train_acc= 0.23883 val_loss= 1.39151 val_acc= 0.28571 time= 0.37503
Epoch: 0002 train_loss= 1.39155 train_acc= 0.25559 val_loss= 1.38937 val_acc= 0.26786 time= 0.01563
Epoch: 0003 train_loss= 1.38938 train_acc= 0.31425 val_loss= 1.38768 val_acc= 0.26786 time= 0.01563
Epoch: 0004 train_loss= 1.38770 train_acc= 0.31425 val_loss= 1.38640 val_acc= 0.26786 time= 0.01563
Epoch: 0005 train_loss= 1.38634 train_acc= 0.31425 val_loss= 1.38547 val_acc= 0.26786 time= 0.01563
Epoch: 0006 train_loss= 1.38532 train_acc= 0.31425 val_loss= 1.38482 val_acc= 0.26786 time= 0.01563
Epoch: 0007 train_loss= 1.38453 train_acc= 0.31425 val_loss= 1.38437 val_acc= 0.26786 time= 0.01563
Epoch: 0008 train_loss= 1.38408 train_acc= 0.31425 val_loss= 1.38403 val_acc= 0.26786 time= 0.01563
Epoch: 0009 train_loss= 1.38371 train_acc= 0.31425 val_loss= 1.38378 val_acc= 0.26786 time= 0.01563
Epoch: 0010 train_loss= 1.38302 train_acc= 0.31425 val_loss= 1.38357 val_acc= 0.26786 time= 0.01563
Epoch: 0011 train_loss= 1.38295 train_acc= 0.31425 val_loss= 1.38337 val_acc= 0.26786 time= 0.01563
Epoch: 0012 train_loss= 1.38286 train_acc= 0.31425 val_loss= 1.38317 val_acc= 0.26786 time= 0.01563
Epoch: 0013 train_loss= 1.38239 train_acc= 0.31425 val_loss= 1.38292 val_acc= 0.26786 time= 0.01563
Epoch: 0014 train_loss= 1.38216 train_acc= 0.31425 val_loss= 1.38267 val_acc= 0.26786 time= 0.01563
Epoch: 0015 train_loss= 1.38156 train_acc= 0.31425 val_loss= 1.38241 val_acc= 0.26786 time= 0.03125
Epoch: 0016 train_loss= 1.38102 train_acc= 0.31425 val_loss= 1.38215 val_acc= 0.26786 time= 0.01563
Epoch: 0017 train_loss= 1.38100 train_acc= 0.31425 val_loss= 1.38191 val_acc= 0.26786 time= 0.01563
Epoch: 0018 train_loss= 1.38060 train_acc= 0.31425 val_loss= 1.38167 val_acc= 0.26786 time= 0.01563
Epoch: 0019 train_loss= 1.38001 train_acc= 0.31425 val_loss= 1.38144 val_acc= 0.26786 time= 0.01563
Epoch: 0020 train_loss= 1.37968 train_acc= 0.31425 val_loss= 1.38120 val_acc= 0.26786 time= 0.01563
Epoch: 0021 train_loss= 1.37935 train_acc= 0.31425 val_loss= 1.38096 val_acc= 0.26786 time= 0.01563
Epoch: 0022 train_loss= 1.37883 train_acc= 0.31425 val_loss= 1.38073 val_acc= 0.26786 time= 0.01563
Epoch: 0023 train_loss= 1.37823 train_acc= 0.31425 val_loss= 1.38049 val_acc= 0.26786 time= 0.01563
Epoch: 0024 train_loss= 1.37849 train_acc= 0.31425 val_loss= 1.38024 val_acc= 0.26786 time= 0.01563
Epoch: 0025 train_loss= 1.37777 train_acc= 0.31425 val_loss= 1.38000 val_acc= 0.26786 time= 0.01563
Epoch: 0026 train_loss= 1.37818 train_acc= 0.31425 val_loss= 1.37974 val_acc= 0.26786 time= 0.01563
Epoch: 0027 train_loss= 1.37727 train_acc= 0.31425 val_loss= 1.37951 val_acc= 0.26786 time= 0.01563
Epoch: 0028 train_loss= 1.37763 train_acc= 0.31425 val_loss= 1.37929 val_acc= 0.26786 time= 0.01563
Epoch: 0029 train_loss= 1.37727 train_acc= 0.31425 val_loss= 1.37909 val_acc= 0.26786 time= 0.01562
Epoch: 0030 train_loss= 1.37709 train_acc= 0.31425 val_loss= 1.37887 val_acc= 0.26786 time= 0.01563
Epoch: 0031 train_loss= 1.37672 train_acc= 0.31425 val_loss= 1.37867 val_acc= 0.26786 time= 0.01562
Epoch: 0032 train_loss= 1.37653 train_acc= 0.31425 val_loss= 1.37851 val_acc= 0.26786 time= 0.01563
Epoch: 0033 train_loss= 1.37653 train_acc= 0.31425 val_loss= 1.37833 val_acc= 0.26786 time= 0.03125
Epoch: 0034 train_loss= 1.37641 train_acc= 0.31425 val_loss= 1.37811 val_acc= 0.26786 time= 0.01563
Epoch: 0035 train_loss= 1.37652 train_acc= 0.31425 val_loss= 1.37795 val_acc= 0.26786 time= 0.01563
Epoch: 0036 train_loss= 1.37588 train_acc= 0.31425 val_loss= 1.37778 val_acc= 0.26786 time= 0.01563
Epoch: 0037 train_loss= 1.37617 train_acc= 0.31425 val_loss= 1.37768 val_acc= 0.26786 time= 0.01563
Epoch: 0038 train_loss= 1.37614 train_acc= 0.31425 val_loss= 1.37768 val_acc= 0.26786 time= 0.01563
Epoch: 0039 train_loss= 1.37571 train_acc= 0.31425 val_loss= 1.37763 val_acc= 0.26786 time= 0.01562
Epoch: 0040 train_loss= 1.37537 train_acc= 0.31425 val_loss= 1.37750 val_acc= 0.26786 time= 0.01563
Epoch: 0041 train_loss= 1.37541 train_acc= 0.31425 val_loss= 1.37731 val_acc= 0.26786 time= 0.01563
Epoch: 0042 train_loss= 1.37473 train_acc= 0.31425 val_loss= 1.37711 val_acc= 0.26786 time= 0.01563
Epoch: 0043 train_loss= 1.37516 train_acc= 0.31425 val_loss= 1.37690 val_acc= 0.26786 time= 0.01563
Epoch: 0044 train_loss= 1.37464 train_acc= 0.31425 val_loss= 1.37674 val_acc= 0.26786 time= 0.01563
Epoch: 0045 train_loss= 1.37533 train_acc= 0.31425 val_loss= 1.37663 val_acc= 0.26786 time= 0.01563
Epoch: 0046 train_loss= 1.37465 train_acc= 0.31425 val_loss= 1.37656 val_acc= 0.26786 time= 0.01563
Epoch: 0047 train_loss= 1.37463 train_acc= 0.31425 val_loss= 1.37641 val_acc= 0.26786 time= 0.03125
Epoch: 0048 train_loss= 1.37504 train_acc= 0.31425 val_loss= 1.37631 val_acc= 0.26786 time= 0.01563
Epoch: 0049 train_loss= 1.37437 train_acc= 0.31425 val_loss= 1.37621 val_acc= 0.26786 time= 0.01563
Epoch: 0050 train_loss= 1.37410 train_acc= 0.31425 val_loss= 1.37609 val_acc= 0.26786 time= 0.01563
Epoch: 0051 train_loss= 1.37438 train_acc= 0.31425 val_loss= 1.37596 val_acc= 0.26786 time= 0.01563
Epoch: 0052 train_loss= 1.37418 train_acc= 0.31425 val_loss= 1.37581 val_acc= 0.26786 time= 0.01563
Epoch: 0053 train_loss= 1.37429 train_acc= 0.31425 val_loss= 1.37569 val_acc= 0.26786 time= 0.01563
Epoch: 0054 train_loss= 1.37394 train_acc= 0.31425 val_loss= 1.37566 val_acc= 0.26786 time= 0.01563
Epoch: 0055 train_loss= 1.37447 train_acc= 0.31425 val_loss= 1.37565 val_acc= 0.26786 time= 0.01562
Epoch: 0056 train_loss= 1.37363 train_acc= 0.31425 val_loss= 1.37565 val_acc= 0.26786 time= 0.01563
Epoch: 0057 train_loss= 1.37393 train_acc= 0.31425 val_loss= 1.37561 val_acc= 0.26786 time= 0.01563
Epoch: 0058 train_loss= 1.37395 train_acc= 0.31425 val_loss= 1.37559 val_acc= 0.26786 time= 0.01563
Epoch: 0059 train_loss= 1.37347 train_acc= 0.31425 val_loss= 1.37553 val_acc= 0.26786 time= 0.01563
Epoch: 0060 train_loss= 1.37403 train_acc= 0.31425 val_loss= 1.37538 val_acc= 0.26786 time= 0.01563
Epoch: 0061 train_loss= 1.37377 train_acc= 0.31425 val_loss= 1.37521 val_acc= 0.26786 time= 0.01563
Epoch: 0062 train_loss= 1.37381 train_acc= 0.31425 val_loss= 1.37504 val_acc= 0.26786 time= 0.01563
Epoch: 0063 train_loss= 1.37357 train_acc= 0.31425 val_loss= 1.37495 val_acc= 0.26786 time= 0.01563
Epoch: 0064 train_loss= 1.37346 train_acc= 0.31425 val_loss= 1.37501 val_acc= 0.26786 time= 0.01563
Epoch: 0065 train_loss= 1.37346 train_acc= 0.31425 val_loss= 1.37511 val_acc= 0.26786 time= 0.01563
Epoch: 0066 train_loss= 1.37331 train_acc= 0.31425 val_loss= 1.37519 val_acc= 0.26786 time= 0.01563
Epoch: 0067 train_loss= 1.37360 train_acc= 0.31425 val_loss= 1.37517 val_acc= 0.26786 time= 0.01563
Epoch: 0068 train_loss= 1.37286 train_acc= 0.31425 val_loss= 1.37510 val_acc= 0.26786 time= 0.01563
Epoch: 0069 train_loss= 1.37356 train_acc= 0.31425 val_loss= 1.37488 val_acc= 0.26786 time= 0.01563
Epoch: 0070 train_loss= 1.37304 train_acc= 0.31425 val_loss= 1.37465 val_acc= 0.26786 time= 0.01563
Epoch: 0071 train_loss= 1.37303 train_acc= 0.31425 val_loss= 1.37447 val_acc= 0.26786 time= 0.01562
Epoch: 0072 train_loss= 1.37291 train_acc= 0.31425 val_loss= 1.37430 val_acc= 0.26786 time= 0.03125
Epoch: 0073 train_loss= 1.37307 train_acc= 0.31425 val_loss= 1.37434 val_acc= 0.26786 time= 0.01563
Epoch: 0074 train_loss= 1.37345 train_acc= 0.31425 val_loss= 1.37454 val_acc= 0.26786 time= 0.01563
Epoch: 0075 train_loss= 1.37261 train_acc= 0.31425 val_loss= 1.37481 val_acc= 0.26786 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 1.39141 accuracy= 0.28319 time= 0.00000 
