Epoch: 0001 train_loss= 1.39415 train_acc= 0.29316 val_loss= 1.39033 val_acc= 0.35714 time= 0.23567
Epoch: 0002 train_loss= 1.39090 train_acc= 0.31922 val_loss= 1.38646 val_acc= 0.35714 time= 0.01563
Epoch: 0003 train_loss= 1.38810 train_acc= 0.31922 val_loss= 1.38313 val_acc= 0.35714 time= 0.00000
Epoch: 0004 train_loss= 1.38565 train_acc= 0.31922 val_loss= 1.38039 val_acc= 0.35714 time= 0.01563
Epoch: 0005 train_loss= 1.38405 train_acc= 0.31922 val_loss= 1.37824 val_acc= 0.35714 time= 0.01563
Epoch: 0006 train_loss= 1.38229 train_acc= 0.31922 val_loss= 1.37655 val_acc= 0.35714 time= 0.01563
Epoch: 0007 train_loss= 1.38167 train_acc= 0.31922 val_loss= 1.37541 val_acc= 0.35714 time= 0.01563
Epoch: 0008 train_loss= 1.38097 train_acc= 0.31922 val_loss= 1.37456 val_acc= 0.35714 time= 0.01562
Epoch: 0009 train_loss= 1.38027 train_acc= 0.31922 val_loss= 1.37403 val_acc= 0.35714 time= 0.00000
Epoch: 0010 train_loss= 1.37991 train_acc= 0.31922 val_loss= 1.37369 val_acc= 0.35714 time= 0.01563
Epoch: 0011 train_loss= 1.37954 train_acc= 0.31922 val_loss= 1.37345 val_acc= 0.35714 time= 0.01563
Epoch: 0012 train_loss= 1.37930 train_acc= 0.31922 val_loss= 1.37327 val_acc= 0.35714 time= 0.01562
Epoch: 0013 train_loss= 1.37982 train_acc= 0.31922 val_loss= 1.37312 val_acc= 0.35714 time= 0.01563
Epoch: 0014 train_loss= 1.37849 train_acc= 0.31922 val_loss= 1.37299 val_acc= 0.35714 time= 0.01563
Epoch: 0015 train_loss= 1.37946 train_acc= 0.31922 val_loss= 1.37280 val_acc= 0.35714 time= 0.03125
Epoch: 0016 train_loss= 1.37878 train_acc= 0.31922 val_loss= 1.37253 val_acc= 0.35714 time= 0.01563
Epoch: 0017 train_loss= 1.37762 train_acc= 0.31922 val_loss= 1.37225 val_acc= 0.35714 time= 0.01563
Epoch: 0018 train_loss= 1.37853 train_acc= 0.31922 val_loss= 1.37199 val_acc= 0.35714 time= 0.01563
Epoch: 0019 train_loss= 1.37783 train_acc= 0.31922 val_loss= 1.37176 val_acc= 0.35714 time= 0.01563
Epoch: 0020 train_loss= 1.37753 train_acc= 0.31922 val_loss= 1.37158 val_acc= 0.35714 time= 0.01563
Epoch: 0021 train_loss= 1.37698 train_acc= 0.31922 val_loss= 1.37145 val_acc= 0.35714 time= 0.00000
Epoch: 0022 train_loss= 1.37661 train_acc= 0.31922 val_loss= 1.37128 val_acc= 0.35714 time= 0.01563
Epoch: 0023 train_loss= 1.37705 train_acc= 0.31922 val_loss= 1.37112 val_acc= 0.35714 time= 0.01563
Epoch: 0024 train_loss= 1.37724 train_acc= 0.31922 val_loss= 1.37093 val_acc= 0.35714 time= 0.01563
Epoch: 0025 train_loss= 1.37560 train_acc= 0.31922 val_loss= 1.37073 val_acc= 0.35714 time= 0.01563
Epoch: 0026 train_loss= 1.37605 train_acc= 0.31922 val_loss= 1.37045 val_acc= 0.35714 time= 0.00000
Epoch: 0027 train_loss= 1.37652 train_acc= 0.31922 val_loss= 1.37016 val_acc= 0.35714 time= 0.01563
Epoch: 0028 train_loss= 1.37476 train_acc= 0.31922 val_loss= 1.36987 val_acc= 0.35714 time= 0.01563
Epoch: 0029 train_loss= 1.37487 train_acc= 0.31922 val_loss= 1.36967 val_acc= 0.35714 time= 0.01563
Epoch: 0030 train_loss= 1.37584 train_acc= 0.31922 val_loss= 1.36951 val_acc= 0.35714 time= 0.01563
Epoch: 0031 train_loss= 1.37480 train_acc= 0.31922 val_loss= 1.36942 val_acc= 0.35714 time= 0.00000
Epoch: 0032 train_loss= 1.37529 train_acc= 0.31922 val_loss= 1.36936 val_acc= 0.35714 time= 0.01563
Epoch: 0033 train_loss= 1.37517 train_acc= 0.31922 val_loss= 1.36934 val_acc= 0.35714 time= 0.01562
Epoch: 0034 train_loss= 1.37481 train_acc= 0.31922 val_loss= 1.36924 val_acc= 0.35714 time= 0.01563
Epoch: 0035 train_loss= 1.37489 train_acc= 0.31922 val_loss= 1.36914 val_acc= 0.35714 time= 0.01563
Epoch: 0036 train_loss= 1.37440 train_acc= 0.31922 val_loss= 1.36898 val_acc= 0.35714 time= 0.00000
Epoch: 0037 train_loss= 1.37477 train_acc= 0.31922 val_loss= 1.36876 val_acc= 0.35714 time= 0.02618
Epoch: 0038 train_loss= 1.37428 train_acc= 0.31922 val_loss= 1.36841 val_acc= 0.35714 time= 0.01378
Epoch: 0039 train_loss= 1.37370 train_acc= 0.31922 val_loss= 1.36825 val_acc= 0.35714 time= 0.01300
Epoch: 0040 train_loss= 1.37402 train_acc= 0.31922 val_loss= 1.36829 val_acc= 0.35714 time= 0.01100
Epoch: 0041 train_loss= 1.37388 train_acc= 0.31922 val_loss= 1.36835 val_acc= 0.35714 time= 0.01200
Epoch: 0042 train_loss= 1.37465 train_acc= 0.31922 val_loss= 1.36869 val_acc= 0.35714 time= 0.01200
Epoch: 0043 train_loss= 1.37387 train_acc= 0.31922 val_loss= 1.36902 val_acc= 0.35714 time= 0.01200
Early stopping...
Optimization Finished!
Test set results: cost= 1.39433 accuracy= 0.28319 time= 0.00700 
