Epoch: 0001 train_loss= 0.70130 train_acc= 0.48182 val_loss= 0.69833 val_acc= 0.45902 time= 0.14503
Epoch: 0002 train_loss= 0.69820 train_acc= 0.55455 val_loss= 0.69632 val_acc= 0.50820 time= 0.00679
Epoch: 0003 train_loss= 0.69596 train_acc= 0.59394 val_loss= 0.69498 val_acc= 0.52459 time= 0.00000
Epoch: 0004 train_loss= 0.69420 train_acc= 0.60606 val_loss= 0.69404 val_acc= 0.50820 time= 0.01563
Epoch: 0005 train_loss= 0.69278 train_acc= 0.64242 val_loss= 0.69328 val_acc= 0.52459 time= 0.00000
Epoch: 0006 train_loss= 0.69199 train_acc= 0.63030 val_loss= 0.69257 val_acc= 0.55738 time= 0.01563
Epoch: 0007 train_loss= 0.69121 train_acc= 0.70606 val_loss= 0.69207 val_acc= 0.63934 time= 0.00000
Epoch: 0008 train_loss= 0.69051 train_acc= 0.69394 val_loss= 0.69181 val_acc= 0.65574 time= 0.01562
Epoch: 0009 train_loss= 0.69016 train_acc= 0.70000 val_loss= 0.69169 val_acc= 0.63934 time= 0.01562
Epoch: 0010 train_loss= 0.69013 train_acc= 0.71515 val_loss= 0.69161 val_acc= 0.62295 time= 0.00000
Epoch: 0011 train_loss= 0.68956 train_acc= 0.71515 val_loss= 0.69156 val_acc= 0.59016 time= 0.01563
Epoch: 0012 train_loss= 0.68825 train_acc= 0.72727 val_loss= 0.69151 val_acc= 0.54098 time= 0.00000
Epoch: 0013 train_loss= 0.68788 train_acc= 0.70606 val_loss= 0.69147 val_acc= 0.54098 time= 0.01563
Epoch: 0014 train_loss= 0.68675 train_acc= 0.68788 val_loss= 0.69131 val_acc= 0.52459 time= 0.00000
Epoch: 0015 train_loss= 0.68799 train_acc= 0.65455 val_loss= 0.69101 val_acc= 0.52459 time= 0.01563
Epoch: 0016 train_loss= 0.68605 train_acc= 0.70303 val_loss= 0.69055 val_acc= 0.54098 time= 0.00000
Epoch: 0017 train_loss= 0.68593 train_acc= 0.68182 val_loss= 0.68998 val_acc= 0.54098 time= 0.01563
Epoch: 0018 train_loss= 0.68627 train_acc= 0.64545 val_loss= 0.68934 val_acc= 0.52459 time= 0.01562
Epoch: 0019 train_loss= 0.68413 train_acc= 0.66667 val_loss= 0.68850 val_acc= 0.59016 time= 0.00000
Epoch: 0020 train_loss= 0.68213 train_acc= 0.70909 val_loss= 0.68773 val_acc= 0.62295 time= 0.01563
Epoch: 0021 train_loss= 0.68242 train_acc= 0.66970 val_loss= 0.68697 val_acc= 0.65574 time= 0.00000
Epoch: 0022 train_loss= 0.68108 train_acc= 0.69394 val_loss= 0.68631 val_acc= 0.65574 time= 0.01562
Epoch: 0023 train_loss= 0.68164 train_acc= 0.73636 val_loss= 0.68572 val_acc= 0.70492 time= 0.00000
Epoch: 0024 train_loss= 0.67798 train_acc= 0.72727 val_loss= 0.68531 val_acc= 0.70492 time= 0.01563
Epoch: 0025 train_loss= 0.67738 train_acc= 0.70000 val_loss= 0.68463 val_acc= 0.68852 time= 0.00000
Epoch: 0026 train_loss= 0.67828 train_acc= 0.69394 val_loss= 0.68428 val_acc= 0.68852 time= 0.01563
Epoch: 0027 train_loss= 0.67619 train_acc= 0.72727 val_loss= 0.68417 val_acc= 0.67213 time= 0.00000
Epoch: 0028 train_loss= 0.67683 train_acc= 0.71515 val_loss= 0.68439 val_acc= 0.65574 time= 0.01563
Epoch: 0029 train_loss= 0.67424 train_acc= 0.69091 val_loss= 0.68447 val_acc= 0.60656 time= 0.00000
Epoch: 0030 train_loss= 0.67493 train_acc= 0.76364 val_loss= 0.68483 val_acc= 0.55738 time= 0.01563
Epoch: 0031 train_loss= 0.67721 train_acc= 0.66667 val_loss= 0.68445 val_acc= 0.55738 time= 0.00000
Epoch: 0032 train_loss= 0.67315 train_acc= 0.68182 val_loss= 0.68357 val_acc= 0.57377 time= 0.01563
Epoch: 0033 train_loss= 0.67114 train_acc= 0.67879 val_loss= 0.68211 val_acc= 0.65574 time= 0.01563
Epoch: 0034 train_loss= 0.66982 train_acc= 0.72424 val_loss= 0.68133 val_acc= 0.65574 time= 0.00000
Epoch: 0035 train_loss= 0.67029 train_acc= 0.71212 val_loss= 0.68070 val_acc= 0.65574 time= 0.01563
Epoch: 0036 train_loss= 0.66860 train_acc= 0.71818 val_loss= 0.68012 val_acc= 0.67213 time= 0.00000
Epoch: 0037 train_loss= 0.66640 train_acc= 0.73939 val_loss= 0.67956 val_acc= 0.68852 time= 0.01563
Epoch: 0038 train_loss= 0.66781 train_acc= 0.73636 val_loss= 0.67954 val_acc= 0.65574 time= 0.00000
Epoch: 0039 train_loss= 0.66206 train_acc= 0.76061 val_loss= 0.68063 val_acc= 0.60656 time= 0.01563
Epoch: 0040 train_loss= 0.66662 train_acc= 0.68788 val_loss= 0.68170 val_acc= 0.57377 time= 0.00000
Early stopping...
Optimization Finished!
Test set results: cost= 0.67689 accuracy= 0.60656 time= 0.01562 
