Epoch: 0001 train_loss= 1.39403 train_acc= 0.32573 val_loss= 1.39046 val_acc= 0.35714 time= 0.15626
Epoch: 0002 train_loss= 1.39042 train_acc= 0.31922 val_loss= 1.38710 val_acc= 0.35714 time= 0.01563
Epoch: 0003 train_loss= 1.38722 train_acc= 0.31922 val_loss= 1.38425 val_acc= 0.35714 time= 0.01563
Epoch: 0004 train_loss= 1.38462 train_acc= 0.31922 val_loss= 1.38185 val_acc= 0.35714 time= 0.01563
Epoch: 0005 train_loss= 1.38269 train_acc= 0.31922 val_loss= 1.37979 val_acc= 0.35714 time= 0.01563
Epoch: 0006 train_loss= 1.38114 train_acc= 0.31922 val_loss= 1.37806 val_acc= 0.35714 time= 0.01563
Epoch: 0007 train_loss= 1.38017 train_acc= 0.31922 val_loss= 1.37662 val_acc= 0.35714 time= 0.01563
Epoch: 0008 train_loss= 1.37930 train_acc= 0.31922 val_loss= 1.37540 val_acc= 0.35714 time= 0.01563
Epoch: 0009 train_loss= 1.37927 train_acc= 0.31922 val_loss= 1.37442 val_acc= 0.35714 time= 0.01563
Epoch: 0010 train_loss= 1.37817 train_acc= 0.31922 val_loss= 1.37360 val_acc= 0.35714 time= 0.01563
Epoch: 0011 train_loss= 1.37799 train_acc= 0.31922 val_loss= 1.37288 val_acc= 0.35714 time= 0.01563
Epoch: 0012 train_loss= 1.37892 train_acc= 0.31922 val_loss= 1.37224 val_acc= 0.35714 time= 0.00000
Epoch: 0013 train_loss= 1.37779 train_acc= 0.31922 val_loss= 1.37163 val_acc= 0.35714 time= 0.01563
Epoch: 0014 train_loss= 1.37779 train_acc= 0.31922 val_loss= 1.37110 val_acc= 0.35714 time= 0.01563
Epoch: 0015 train_loss= 1.37735 train_acc= 0.31922 val_loss= 1.37056 val_acc= 0.35714 time= 0.01563
Epoch: 0016 train_loss= 1.37637 train_acc= 0.31922 val_loss= 1.37009 val_acc= 0.35714 time= 0.01563
Epoch: 0017 train_loss= 1.37616 train_acc= 0.31922 val_loss= 1.36963 val_acc= 0.35714 time= 0.01563
Epoch: 0018 train_loss= 1.37632 train_acc= 0.31922 val_loss= 1.36920 val_acc= 0.35714 time= 0.01563
Epoch: 0019 train_loss= 1.37596 train_acc= 0.31922 val_loss= 1.36884 val_acc= 0.35714 time= 0.01563
Epoch: 0020 train_loss= 1.37540 train_acc= 0.31922 val_loss= 1.36853 val_acc= 0.35714 time= 0.01562
Epoch: 0021 train_loss= 1.37418 train_acc= 0.31922 val_loss= 1.36828 val_acc= 0.35714 time= 0.01563
Epoch: 0022 train_loss= 1.37556 train_acc= 0.31922 val_loss= 1.36800 val_acc= 0.35714 time= 0.01563
Epoch: 0023 train_loss= 1.37463 train_acc= 0.31922 val_loss= 1.36776 val_acc= 0.35714 time= 0.01563
Epoch: 0024 train_loss= 1.37469 train_acc= 0.31922 val_loss= 1.36754 val_acc= 0.35714 time= 0.01563
Epoch: 0025 train_loss= 1.37447 train_acc= 0.31922 val_loss= 1.36733 val_acc= 0.35714 time= 0.01563
Epoch: 0026 train_loss= 1.37460 train_acc= 0.31922 val_loss= 1.36710 val_acc= 0.35714 time= 0.01563
Epoch: 0027 train_loss= 1.37456 train_acc= 0.31922 val_loss= 1.36685 val_acc= 0.35714 time= 0.00000
Epoch: 0028 train_loss= 1.37432 train_acc= 0.31922 val_loss= 1.36660 val_acc= 0.35714 time= 0.01563
Epoch: 0029 train_loss= 1.37433 train_acc= 0.31922 val_loss= 1.36634 val_acc= 0.35714 time= 0.01563
Epoch: 0030 train_loss= 1.37371 train_acc= 0.31922 val_loss= 1.36610 val_acc= 0.35714 time= 0.01563
Epoch: 0031 train_loss= 1.37317 train_acc= 0.31922 val_loss= 1.36592 val_acc= 0.35714 time= 0.01563
Epoch: 0032 train_loss= 1.37384 train_acc= 0.31922 val_loss= 1.36570 val_acc= 0.35714 time= 0.01563
Epoch: 0033 train_loss= 1.37347 train_acc= 0.31922 val_loss= 1.36548 val_acc= 0.35714 time= 0.01563
Epoch: 0034 train_loss= 1.37305 train_acc= 0.31922 val_loss= 1.36524 val_acc= 0.35714 time= 0.01562
Epoch: 0035 train_loss= 1.37258 train_acc= 0.31922 val_loss= 1.36501 val_acc= 0.35714 time= 0.01563
Epoch: 0036 train_loss= 1.37285 train_acc= 0.31922 val_loss= 1.36479 val_acc= 0.35714 time= 0.01563
Epoch: 0037 train_loss= 1.37302 train_acc= 0.31922 val_loss= 1.36463 val_acc= 0.35714 time= 0.01563
Epoch: 0038 train_loss= 1.37290 train_acc= 0.31922 val_loss= 1.36448 val_acc= 0.35714 time= 0.01563
Epoch: 0039 train_loss= 1.37329 train_acc= 0.31922 val_loss= 1.36441 val_acc= 0.35714 time= 0.01563
Epoch: 0040 train_loss= 1.37221 train_acc= 0.31922 val_loss= 1.36435 val_acc= 0.35714 time= 0.01563
Epoch: 0041 train_loss= 1.37332 train_acc= 0.31922 val_loss= 1.36422 val_acc= 0.35714 time= 0.01563
Epoch: 0042 train_loss= 1.37321 train_acc= 0.31922 val_loss= 1.36417 val_acc= 0.35714 time= 0.01635
Epoch: 0043 train_loss= 1.37264 train_acc= 0.31922 val_loss= 1.36410 val_acc= 0.35714 time= 0.01562
Epoch: 0044 train_loss= 1.37284 train_acc= 0.31922 val_loss= 1.36397 val_acc= 0.35714 time= 0.00506
Epoch: 0045 train_loss= 1.37323 train_acc= 0.31922 val_loss= 1.36384 val_acc= 0.35714 time= 0.01563
Epoch: 0046 train_loss= 1.37236 train_acc= 0.31922 val_loss= 1.36364 val_acc= 0.35714 time= 0.01562
Epoch: 0047 train_loss= 1.37301 train_acc= 0.31922 val_loss= 1.36350 val_acc= 0.35714 time= 0.01563
Epoch: 0048 train_loss= 1.37207 train_acc= 0.31922 val_loss= 1.36332 val_acc= 0.35714 time= 0.02435
Epoch: 0049 train_loss= 1.37169 train_acc= 0.31922 val_loss= 1.36307 val_acc= 0.35714 time= 0.01207
Epoch: 0050 train_loss= 1.37171 train_acc= 0.31922 val_loss= 1.36278 val_acc= 0.35714 time= 0.01562
Epoch: 0051 train_loss= 1.37190 train_acc= 0.31922 val_loss= 1.36268 val_acc= 0.35714 time= 0.01563
Epoch: 0052 train_loss= 1.37274 train_acc= 0.31922 val_loss= 1.36274 val_acc= 0.35714 time= 0.01563
Epoch: 0053 train_loss= 1.37186 train_acc= 0.31922 val_loss= 1.36288 val_acc= 0.35714 time= 0.01563
Epoch: 0054 train_loss= 1.37188 train_acc= 0.31922 val_loss= 1.36307 val_acc= 0.35714 time= 0.01563
Epoch: 0055 train_loss= 1.37240 train_acc= 0.31922 val_loss= 1.36317 val_acc= 0.35714 time= 0.00000
Early stopping...
Optimization Finished!
Test set results: cost= 1.38418 accuracy= 0.30973 time= 0.01563 
