Epoch: 0001 train_loss= 0.69887 train_acc= 0.50182 val_loss= 0.69949 val_acc= 0.44262 time= 0.21876
Epoch: 0002 train_loss= 0.69827 train_acc= 0.50364 val_loss= 0.69870 val_acc= 0.44262 time= 0.01563
Epoch: 0003 train_loss= 0.69773 train_acc= 0.49636 val_loss= 0.69809 val_acc= 0.44262 time= 0.00000
Epoch: 0004 train_loss= 0.69726 train_acc= 0.50727 val_loss= 0.69754 val_acc= 0.44262 time= 0.01563
Epoch: 0005 train_loss= 0.69677 train_acc= 0.50364 val_loss= 0.69708 val_acc= 0.44262 time= 0.01563
Epoch: 0006 train_loss= 0.69647 train_acc= 0.50000 val_loss= 0.69674 val_acc= 0.44262 time= 0.01563
Epoch: 0007 train_loss= 0.69607 train_acc= 0.50727 val_loss= 0.69637 val_acc= 0.44262 time= 0.01562
Epoch: 0008 train_loss= 0.69570 train_acc= 0.50727 val_loss= 0.69600 val_acc= 0.44262 time= 0.01563
Epoch: 0009 train_loss= 0.69539 train_acc= 0.50545 val_loss= 0.69570 val_acc= 0.44262 time= 0.00000
Epoch: 0010 train_loss= 0.69506 train_acc= 0.50545 val_loss= 0.69543 val_acc= 0.44262 time= 0.01563
Epoch: 0011 train_loss= 0.69488 train_acc= 0.50909 val_loss= 0.69525 val_acc= 0.44262 time= 0.01562
Epoch: 0012 train_loss= 0.69472 train_acc= 0.50000 val_loss= 0.69505 val_acc= 0.44262 time= 0.01563
Epoch: 0013 train_loss= 0.69450 train_acc= 0.49455 val_loss= 0.69487 val_acc= 0.44262 time= 0.01563
Epoch: 0014 train_loss= 0.69423 train_acc= 0.50364 val_loss= 0.69475 val_acc= 0.44262 time= 0.01563
Epoch: 0015 train_loss= 0.69411 train_acc= 0.50364 val_loss= 0.69462 val_acc= 0.44262 time= 0.00000
Epoch: 0016 train_loss= 0.69396 train_acc= 0.50000 val_loss= 0.69447 val_acc= 0.44262 time= 0.01563
Epoch: 0017 train_loss= 0.69380 train_acc= 0.50182 val_loss= 0.69439 val_acc= 0.44262 time= 0.01562
Epoch: 0018 train_loss= 0.69372 train_acc= 0.50364 val_loss= 0.69432 val_acc= 0.44262 time= 0.01563
Epoch: 0019 train_loss= 0.69366 train_acc= 0.50364 val_loss= 0.69426 val_acc= 0.44262 time= 0.01563
Epoch: 0020 train_loss= 0.69351 train_acc= 0.50364 val_loss= 0.69426 val_acc= 0.44262 time= 0.01563
Epoch: 0021 train_loss= 0.69353 train_acc= 0.50364 val_loss= 0.69420 val_acc= 0.44262 time= 0.01563
Epoch: 0022 train_loss= 0.69342 train_acc= 0.50364 val_loss= 0.69411 val_acc= 0.44262 time= 0.00000
Epoch: 0023 train_loss= 0.69338 train_acc= 0.50364 val_loss= 0.69402 val_acc= 0.44262 time= 0.01563
Epoch: 0024 train_loss= 0.69334 train_acc= 0.50364 val_loss= 0.69393 val_acc= 0.44262 time= 0.01563
Epoch: 0025 train_loss= 0.69330 train_acc= 0.50364 val_loss= 0.69385 val_acc= 0.44262 time= 0.01563
Epoch: 0026 train_loss= 0.69327 train_acc= 0.50364 val_loss= 0.69379 val_acc= 0.44262 time= 0.01563
Epoch: 0027 train_loss= 0.69323 train_acc= 0.50364 val_loss= 0.69376 val_acc= 0.44262 time= 0.01563
Epoch: 0028 train_loss= 0.69322 train_acc= 0.50364 val_loss= 0.69377 val_acc= 0.44262 time= 0.00000
Epoch: 0029 train_loss= 0.69325 train_acc= 0.50364 val_loss= 0.69375 val_acc= 0.44262 time= 0.01563
Epoch: 0030 train_loss= 0.69322 train_acc= 0.50364 val_loss= 0.69375 val_acc= 0.44262 time= 0.01563
Epoch: 0031 train_loss= 0.69320 train_acc= 0.50364 val_loss= 0.69373 val_acc= 0.44262 time= 0.01563
Epoch: 0032 train_loss= 0.69321 train_acc= 0.50364 val_loss= 0.69369 val_acc= 0.44262 time= 0.01563
Epoch: 0033 train_loss= 0.69318 train_acc= 0.50364 val_loss= 0.69370 val_acc= 0.44262 time= 0.01563
Epoch: 0034 train_loss= 0.69321 train_acc= 0.50364 val_loss= 0.69370 val_acc= 0.44262 time= 0.00000
Epoch: 0035 train_loss= 0.69322 train_acc= 0.50364 val_loss= 0.69363 val_acc= 0.44262 time= 0.01563
Epoch: 0036 train_loss= 0.69318 train_acc= 0.50364 val_loss= 0.69362 val_acc= 0.44262 time= 0.01563
Epoch: 0037 train_loss= 0.69316 train_acc= 0.50364 val_loss= 0.69362 val_acc= 0.44262 time= 0.01563
Epoch: 0038 train_loss= 0.69318 train_acc= 0.50364 val_loss= 0.69359 val_acc= 0.44262 time= 0.01563
Epoch: 0039 train_loss= 0.69317 train_acc= 0.50364 val_loss= 0.69364 val_acc= 0.44262 time= 0.01563
Epoch: 0040 train_loss= 0.69318 train_acc= 0.50364 val_loss= 0.69373 val_acc= 0.44262 time= 0.00000
Early stopping...
Optimization Finished!
Test set results: cost= 0.69300 accuracy= 0.54918 time= 0.01563 
