Epoch: 0001 train_loss= 2.09113 train_acc= 0.15094 val_loss= 2.09109 val_acc= 0.13793 time= 0.67015
Epoch: 0002 train_loss= 2.08806 train_acc= 0.14286 val_loss= 2.08777 val_acc= 0.13793 time= 0.00900
Epoch: 0003 train_loss= 2.07755 train_acc= 0.17251 val_loss= 2.08502 val_acc= 0.13793 time= 0.00900
Epoch: 0004 train_loss= 2.07290 train_acc= 0.16442 val_loss= 2.08258 val_acc= 0.10345 time= 0.00900
Epoch: 0005 train_loss= 2.07399 train_acc= 0.15633 val_loss= 2.07987 val_acc= 0.10345 time= 0.01100
Epoch: 0006 train_loss= 2.07376 train_acc= 0.16173 val_loss= 2.07750 val_acc= 0.10345 time= 0.00900
Epoch: 0007 train_loss= 2.06767 train_acc= 0.17251 val_loss= 2.07508 val_acc= 0.13793 time= 0.00900
Epoch: 0008 train_loss= 2.06942 train_acc= 0.15094 val_loss= 2.07339 val_acc= 0.13793 time= 0.00900
Epoch: 0009 train_loss= 2.06718 train_acc= 0.18059 val_loss= 2.07164 val_acc= 0.10345 time= 0.01000
Epoch: 0010 train_loss= 2.06176 train_acc= 0.17520 val_loss= 2.07064 val_acc= 0.10345 time= 0.01100
Epoch: 0011 train_loss= 2.06086 train_acc= 0.17520 val_loss= 2.07020 val_acc= 0.10345 time= 0.01000
Epoch: 0012 train_loss= 2.05952 train_acc= 0.20755 val_loss= 2.06989 val_acc= 0.10345 time= 0.01000
Epoch: 0013 train_loss= 2.06427 train_acc= 0.17251 val_loss= 2.06940 val_acc= 0.10345 time= 0.00900
Epoch: 0014 train_loss= 2.05679 train_acc= 0.16173 val_loss= 2.06831 val_acc= 0.06897 time= 0.00900
Epoch: 0015 train_loss= 2.06035 train_acc= 0.15903 val_loss= 2.06673 val_acc= 0.13793 time= 0.01000
Epoch: 0016 train_loss= 2.05875 train_acc= 0.16981 val_loss= 2.06568 val_acc= 0.13793 time= 0.01100
Epoch: 0017 train_loss= 2.05699 train_acc= 0.15094 val_loss= 2.06497 val_acc= 0.13793 time= 0.00900
Epoch: 0018 train_loss= 2.06204 train_acc= 0.17251 val_loss= 2.06516 val_acc= 0.17241 time= 0.00800
Epoch: 0019 train_loss= 2.05359 train_acc= 0.16173 val_loss= 2.06534 val_acc= 0.17241 time= 0.00900
Epoch: 0020 train_loss= 2.04876 train_acc= 0.19677 val_loss= 2.06531 val_acc= 0.17241 time= 0.01000
Epoch: 0021 train_loss= 2.05391 train_acc= 0.16442 val_loss= 2.06505 val_acc= 0.17241 time= 0.00800
Epoch: 0022 train_loss= 2.05230 train_acc= 0.18868 val_loss= 2.06477 val_acc= 0.17241 time= 0.00800
Epoch: 0023 train_loss= 2.04892 train_acc= 0.16981 val_loss= 2.06425 val_acc= 0.17241 time= 0.00900
Epoch: 0024 train_loss= 2.05380 train_acc= 0.15094 val_loss= 2.06340 val_acc= 0.20690 time= 0.00900
Epoch: 0025 train_loss= 2.04923 train_acc= 0.17251 val_loss= 2.06245 val_acc= 0.20690 time= 0.00900
Epoch: 0026 train_loss= 2.03856 train_acc= 0.16981 val_loss= 2.06155 val_acc= 0.17241 time= 0.00900
Epoch: 0027 train_loss= 2.04884 train_acc= 0.15094 val_loss= 2.06102 val_acc= 0.17241 time= 0.01000
Epoch: 0028 train_loss= 2.05104 train_acc= 0.16712 val_loss= 2.06048 val_acc= 0.17241 time= 0.00900
Epoch: 0029 train_loss= 2.05058 train_acc= 0.21294 val_loss= 2.06000 val_acc= 0.17241 time= 0.01000
Epoch: 0030 train_loss= 2.04319 train_acc= 0.17790 val_loss= 2.05951 val_acc= 0.17241 time= 0.01100
Epoch: 0031 train_loss= 2.04520 train_acc= 0.19137 val_loss= 2.05913 val_acc= 0.17241 time= 0.01100
Epoch: 0032 train_loss= 2.04579 train_acc= 0.23989 val_loss= 2.05854 val_acc= 0.17241 time= 0.01100
Epoch: 0033 train_loss= 2.03798 train_acc= 0.19677 val_loss= 2.05788 val_acc= 0.17241 time= 0.01100
Epoch: 0034 train_loss= 2.04531 train_acc= 0.19946 val_loss= 2.05712 val_acc= 0.13793 time= 0.01000
Epoch: 0035 train_loss= 2.03896 train_acc= 0.18868 val_loss= 2.05716 val_acc= 0.13793 time= 0.01100
Epoch: 0036 train_loss= 2.03995 train_acc= 0.18868 val_loss= 2.05717 val_acc= 0.13793 time= 0.01000
Epoch: 0037 train_loss= 2.03925 train_acc= 0.19946 val_loss= 2.05720 val_acc= 0.13793 time= 0.01100
Epoch: 0038 train_loss= 2.03239 train_acc= 0.19677 val_loss= 2.05726 val_acc= 0.13793 time= 0.01100
Epoch: 0039 train_loss= 2.03281 train_acc= 0.22642 val_loss= 2.05745 val_acc= 0.13793 time= 0.01000
Epoch: 0040 train_loss= 2.02935 train_acc= 0.20216 val_loss= 2.05794 val_acc= 0.13793 time= 0.01000
Early stopping...
Optimization Finished!
Test set results: cost= 2.11918 accuracy= 0.08475 time= 0.00400 
