Epoch: 0001 train_loss= 1.39272 train_acc= 0.26758 val_loss= 1.40371 val_acc= 0.14286 time= 0.53212
Epoch: 0002 train_loss= 1.38933 train_acc= 0.26758 val_loss= 1.40115 val_acc= 0.14286 time= 0.00700
Epoch: 0003 train_loss= 1.38695 train_acc= 0.26758 val_loss= 1.39872 val_acc= 0.14286 time= 0.00800
Epoch: 0004 train_loss= 1.38428 train_acc= 0.26758 val_loss= 1.39644 val_acc= 0.14286 time= 0.00800
Epoch: 0005 train_loss= 1.38302 train_acc= 0.26758 val_loss= 1.39432 val_acc= 0.14286 time= 0.00700
Epoch: 0006 train_loss= 1.38055 train_acc= 0.26953 val_loss= 1.39235 val_acc= 0.14286 time= 0.00700
Epoch: 0007 train_loss= 1.38043 train_acc= 0.26758 val_loss= 1.39051 val_acc= 0.14286 time= 0.00800
Epoch: 0008 train_loss= 1.37887 train_acc= 0.27539 val_loss= 1.38881 val_acc= 0.14286 time= 0.00800
Epoch: 0009 train_loss= 1.37743 train_acc= 0.27148 val_loss= 1.38724 val_acc= 0.14286 time= 0.00900
Epoch: 0010 train_loss= 1.37604 train_acc= 0.26562 val_loss= 1.38581 val_acc= 0.17857 time= 0.00800
Epoch: 0011 train_loss= 1.37490 train_acc= 0.32031 val_loss= 1.38448 val_acc= 0.37500 time= 0.00900
Epoch: 0012 train_loss= 1.37220 train_acc= 0.33203 val_loss= 1.38325 val_acc= 0.37500 time= 0.00700
Epoch: 0013 train_loss= 1.37341 train_acc= 0.32031 val_loss= 1.38210 val_acc= 0.37500 time= 0.00800
Epoch: 0014 train_loss= 1.37171 train_acc= 0.33398 val_loss= 1.38098 val_acc= 0.37500 time= 0.00700
Epoch: 0015 train_loss= 1.37063 train_acc= 0.33594 val_loss= 1.37998 val_acc= 0.37500 time= 0.00700
Epoch: 0016 train_loss= 1.36860 train_acc= 0.33789 val_loss= 1.37910 val_acc= 0.37500 time= 0.00700
Epoch: 0017 train_loss= 1.36619 train_acc= 0.33789 val_loss= 1.37831 val_acc= 0.37500 time= 0.00600
Epoch: 0018 train_loss= 1.36875 train_acc= 0.33398 val_loss= 1.37763 val_acc= 0.37500 time= 0.00700
Epoch: 0019 train_loss= 1.36992 train_acc= 0.33398 val_loss= 1.37714 val_acc= 0.37500 time= 0.00800
Epoch: 0020 train_loss= 1.36524 train_acc= 0.33594 val_loss= 1.37678 val_acc= 0.37500 time= 0.00800
Epoch: 0021 train_loss= 1.36567 train_acc= 0.33594 val_loss= 1.37658 val_acc= 0.37500 time= 0.00700
Epoch: 0022 train_loss= 1.36456 train_acc= 0.33789 val_loss= 1.37652 val_acc= 0.37500 time= 0.00800
Epoch: 0023 train_loss= 1.36464 train_acc= 0.33398 val_loss= 1.37662 val_acc= 0.37500 time= 0.00700
Epoch: 0024 train_loss= 1.36542 train_acc= 0.33594 val_loss= 1.37688 val_acc= 0.37500 time= 0.00700
Epoch: 0025 train_loss= 1.36459 train_acc= 0.33594 val_loss= 1.37724 val_acc= 0.37500 time= 0.00600
Epoch: 0026 train_loss= 1.36255 train_acc= 0.33789 val_loss= 1.37761 val_acc= 0.37500 time= 0.00900
Early stopping...
Optimization Finished!
Test set results: cost= 1.37885 accuracy= 0.30088 time= 0.00300 
