Epoch: 0001 train_loss= 1.39422 train_acc= 0.31250 val_loss= 1.39122 val_acc= 0.32143 time= 0.45563
Epoch: 0002 train_loss= 1.39075 train_acc= 0.32422 val_loss= 1.38871 val_acc= 0.32143 time= 0.02000
Epoch: 0003 train_loss= 1.38783 train_acc= 0.32422 val_loss= 1.38676 val_acc= 0.32143 time= 0.02101
Epoch: 0004 train_loss= 1.38528 train_acc= 0.32422 val_loss= 1.38534 val_acc= 0.32143 time= 0.01700
Epoch: 0005 train_loss= 1.38369 train_acc= 0.32422 val_loss= 1.38437 val_acc= 0.32143 time= 0.01800
Epoch: 0006 train_loss= 1.38164 train_acc= 0.32422 val_loss= 1.38376 val_acc= 0.32143 time= 0.02200
Epoch: 0007 train_loss= 1.38057 train_acc= 0.32422 val_loss= 1.38344 val_acc= 0.32143 time= 0.02101
Epoch: 0008 train_loss= 1.38000 train_acc= 0.32422 val_loss= 1.38329 val_acc= 0.32143 time= 0.01800
Epoch: 0009 train_loss= 1.37954 train_acc= 0.32422 val_loss= 1.38328 val_acc= 0.32143 time= 0.01600
Epoch: 0010 train_loss= 1.37857 train_acc= 0.32422 val_loss= 1.38331 val_acc= 0.32143 time= 0.02601
Epoch: 0011 train_loss= 1.37780 train_acc= 0.32422 val_loss= 1.38335 val_acc= 0.32143 time= 0.02201
Epoch: 0012 train_loss= 1.37779 train_acc= 0.32422 val_loss= 1.38337 val_acc= 0.32143 time= 0.01700
Epoch: 0013 train_loss= 1.37664 train_acc= 0.32422 val_loss= 1.38337 val_acc= 0.32143 time= 0.01851
Epoch: 0014 train_loss= 1.37622 train_acc= 0.32422 val_loss= 1.38332 val_acc= 0.32143 time= 0.01700
Epoch: 0015 train_loss= 1.37607 train_acc= 0.32422 val_loss= 1.38322 val_acc= 0.32143 time= 0.01700
Epoch: 0016 train_loss= 1.37566 train_acc= 0.32422 val_loss= 1.38306 val_acc= 0.32143 time= 0.01531
Epoch: 0017 train_loss= 1.37518 train_acc= 0.32422 val_loss= 1.38286 val_acc= 0.32143 time= 0.01600
Epoch: 0018 train_loss= 1.37433 train_acc= 0.32422 val_loss= 1.38260 val_acc= 0.32143 time= 0.01400
Epoch: 0019 train_loss= 1.37423 train_acc= 0.32422 val_loss= 1.38230 val_acc= 0.32143 time= 0.01601
Epoch: 0020 train_loss= 1.37294 train_acc= 0.32422 val_loss= 1.38199 val_acc= 0.32143 time= 0.01600
Epoch: 0021 train_loss= 1.37299 train_acc= 0.32422 val_loss= 1.38169 val_acc= 0.32143 time= 0.01600
Epoch: 0022 train_loss= 1.37236 train_acc= 0.32422 val_loss= 1.38143 val_acc= 0.32143 time= 0.01500
Epoch: 0023 train_loss= 1.37230 train_acc= 0.32422 val_loss= 1.38118 val_acc= 0.32143 time= 0.03101
Epoch: 0024 train_loss= 1.37188 train_acc= 0.32422 val_loss= 1.38094 val_acc= 0.32143 time= 0.03201
Epoch: 0025 train_loss= 1.37167 train_acc= 0.32422 val_loss= 1.38069 val_acc= 0.32143 time= 0.02501
Epoch: 0026 train_loss= 1.37061 train_acc= 0.32422 val_loss= 1.38050 val_acc= 0.32143 time= 0.02300
Epoch: 0027 train_loss= 1.37160 train_acc= 0.32422 val_loss= 1.38035 val_acc= 0.32143 time= 0.02101
Epoch: 0028 train_loss= 1.37016 train_acc= 0.32422 val_loss= 1.38020 val_acc= 0.32143 time= 0.01800
Epoch: 0029 train_loss= 1.36924 train_acc= 0.32422 val_loss= 1.38010 val_acc= 0.32143 time= 0.01700
Epoch: 0030 train_loss= 1.37094 train_acc= 0.32422 val_loss= 1.38000 val_acc= 0.32143 time= 0.01600
Epoch: 0031 train_loss= 1.37038 train_acc= 0.32422 val_loss= 1.37992 val_acc= 0.32143 time= 0.01400
Epoch: 0032 train_loss= 1.36959 train_acc= 0.32422 val_loss= 1.37983 val_acc= 0.32143 time= 0.01081
Epoch: 0033 train_loss= 1.36883 train_acc= 0.32422 val_loss= 1.37975 val_acc= 0.32143 time= 0.01710
Epoch: 0034 train_loss= 1.36828 train_acc= 0.32422 val_loss= 1.37965 val_acc= 0.32143 time= 0.00108
Epoch: 0035 train_loss= 1.36833 train_acc= 0.32422 val_loss= 1.37958 val_acc= 0.32143 time= 0.01563
Epoch: 0036 train_loss= 1.36930 train_acc= 0.32422 val_loss= 1.37949 val_acc= 0.32143 time= 0.02687
Epoch: 0037 train_loss= 1.36891 train_acc= 0.32422 val_loss= 1.37937 val_acc= 0.32143 time= 0.01800
Epoch: 0038 train_loss= 1.36866 train_acc= 0.32422 val_loss= 1.37924 val_acc= 0.32143 time= 0.01700
Epoch: 0039 train_loss= 1.36964 train_acc= 0.32422 val_loss= 1.37911 val_acc= 0.32143 time= 0.01600
Epoch: 0040 train_loss= 1.36816 train_acc= 0.32422 val_loss= 1.37898 val_acc= 0.32143 time= 0.01560
Epoch: 0041 train_loss= 1.36738 train_acc= 0.32422 val_loss= 1.37888 val_acc= 0.32143 time= 0.01491
Epoch: 0042 train_loss= 1.36787 train_acc= 0.32422 val_loss= 1.37888 val_acc= 0.32143 time= 0.01400
Epoch: 0043 train_loss= 1.36771 train_acc= 0.32422 val_loss= 1.37880 val_acc= 0.32143 time= 0.01355
Epoch: 0044 train_loss= 1.36763 train_acc= 0.32422 val_loss= 1.37872 val_acc= 0.32143 time= 0.00000
Epoch: 0045 train_loss= 1.36747 train_acc= 0.32422 val_loss= 1.37867 val_acc= 0.32143 time= 0.01563
Epoch: 0046 train_loss= 1.36661 train_acc= 0.32422 val_loss= 1.37860 val_acc= 0.32143 time= 0.01563
Epoch: 0047 train_loss= 1.36667 train_acc= 0.32422 val_loss= 1.37855 val_acc= 0.32143 time= 0.01563
Epoch: 0048 train_loss= 1.36724 train_acc= 0.32422 val_loss= 1.37842 val_acc= 0.32143 time= 0.02171
Epoch: 0049 train_loss= 1.36515 train_acc= 0.32422 val_loss= 1.37826 val_acc= 0.32143 time= 0.00411
Epoch: 0050 train_loss= 1.36670 train_acc= 0.32422 val_loss= 1.37807 val_acc= 0.32143 time= 0.02417
Epoch: 0051 train_loss= 1.36678 train_acc= 0.32422 val_loss= 1.37786 val_acc= 0.32143 time= 0.01400
Epoch: 0052 train_loss= 1.36624 train_acc= 0.32422 val_loss= 1.37771 val_acc= 0.32143 time= 0.01700
Epoch: 0053 train_loss= 1.36616 train_acc= 0.32422 val_loss= 1.37762 val_acc= 0.32143 time= 0.02100
Epoch: 0054 train_loss= 1.36535 train_acc= 0.32422 val_loss= 1.37759 val_acc= 0.32143 time= 0.02100
Epoch: 0055 train_loss= 1.36630 train_acc= 0.32422 val_loss= 1.37762 val_acc= 0.32143 time= 0.02200
Epoch: 0056 train_loss= 1.36542 train_acc= 0.32422 val_loss= 1.37766 val_acc= 0.32143 time= 0.02301
Epoch: 0057 train_loss= 1.36553 train_acc= 0.32422 val_loss= 1.37764 val_acc= 0.32143 time= 0.01800
Epoch: 0058 train_loss= 1.36612 train_acc= 0.32422 val_loss= 1.37757 val_acc= 0.32143 time= 0.01600
Epoch: 0059 train_loss= 1.36515 train_acc= 0.32422 val_loss= 1.37755 val_acc= 0.32143 time= 0.01900
Epoch: 0060 train_loss= 1.36579 train_acc= 0.32422 val_loss= 1.37741 val_acc= 0.32143 time= 0.01800
Epoch: 0061 train_loss= 1.36520 train_acc= 0.32422 val_loss= 1.37723 val_acc= 0.32143 time= 0.01400
Epoch: 0062 train_loss= 1.36493 train_acc= 0.32422 val_loss= 1.37702 val_acc= 0.32143 time= 0.01400
Epoch: 0063 train_loss= 1.36392 train_acc= 0.32422 val_loss= 1.37690 val_acc= 0.32143 time= 0.01400
Epoch: 0064 train_loss= 1.36438 train_acc= 0.32422 val_loss= 1.37682 val_acc= 0.32143 time= 0.02006
Epoch: 0065 train_loss= 1.36452 train_acc= 0.32422 val_loss= 1.37683 val_acc= 0.32143 time= 0.02331
Epoch: 0066 train_loss= 1.36333 train_acc= 0.32422 val_loss= 1.37686 val_acc= 0.32143 time= 0.01900
Epoch: 0067 train_loss= 1.36450 train_acc= 0.32422 val_loss= 1.37700 val_acc= 0.32143 time= 0.01600
Epoch: 0068 train_loss= 1.36541 train_acc= 0.32422 val_loss= 1.37692 val_acc= 0.32143 time= 0.01400
Epoch: 0069 train_loss= 1.36288 train_acc= 0.32422 val_loss= 1.37677 val_acc= 0.32143 time= 0.01135
Epoch: 0070 train_loss= 1.36465 train_acc= 0.32422 val_loss= 1.37645 val_acc= 0.32143 time= 0.01563
Epoch: 0071 train_loss= 1.36325 train_acc= 0.32422 val_loss= 1.37605 val_acc= 0.32143 time= 0.01645
Epoch: 0072 train_loss= 1.36329 train_acc= 0.32422 val_loss= 1.37561 val_acc= 0.32143 time= 0.01500
Epoch: 0073 train_loss= 1.36262 train_acc= 0.32422 val_loss= 1.37543 val_acc= 0.32143 time= 0.01500
Epoch: 0074 train_loss= 1.36370 train_acc= 0.32422 val_loss= 1.37537 val_acc= 0.32143 time= 0.01600
Epoch: 0075 train_loss= 1.36354 train_acc= 0.32422 val_loss= 1.37554 val_acc= 0.32143 time= 0.01500
Epoch: 0076 train_loss= 1.36294 train_acc= 0.32422 val_loss= 1.37583 val_acc= 0.32143 time= 0.01500
Epoch: 0077 train_loss= 1.36359 train_acc= 0.32422 val_loss= 1.37599 val_acc= 0.32143 time= 0.01501
Epoch: 0078 train_loss= 1.36205 train_acc= 0.32422 val_loss= 1.37592 val_acc= 0.32143 time= 0.02000
Epoch: 0079 train_loss= 1.36280 train_acc= 0.32422 val_loss= 1.37550 val_acc= 0.32143 time= 0.02101
Epoch: 0080 train_loss= 1.36362 train_acc= 0.32422 val_loss= 1.37509 val_acc= 0.32143 time= 0.02100
Epoch: 0081 train_loss= 1.36270 train_acc= 0.32422 val_loss= 1.37485 val_acc= 0.32143 time= 0.02100
Epoch: 0082 train_loss= 1.36234 train_acc= 0.32422 val_loss= 1.37466 val_acc= 0.32143 time= 0.01700
Epoch: 0083 train_loss= 1.36337 train_acc= 0.32617 val_loss= 1.37458 val_acc= 0.32143 time= 0.01700
Epoch: 0084 train_loss= 1.36097 train_acc= 0.32617 val_loss= 1.37471 val_acc= 0.32143 time= 0.01500
Epoch: 0085 train_loss= 1.36168 train_acc= 0.32422 val_loss= 1.37493 val_acc= 0.32143 time= 0.01600
Epoch: 0086 train_loss= 1.36234 train_acc= 0.32422 val_loss= 1.37496 val_acc= 0.32143 time= 0.01900
Epoch: 0087 train_loss= 1.36133 train_acc= 0.32422 val_loss= 1.37481 val_acc= 0.32143 time= 0.01600
Epoch: 0088 train_loss= 1.36140 train_acc= 0.32617 val_loss= 1.37465 val_acc= 0.32143 time= 0.01300
Epoch: 0089 train_loss= 1.36173 train_acc= 0.32812 val_loss= 1.37444 val_acc= 0.32143 time= 0.01400
Epoch: 0090 train_loss= 1.36160 train_acc= 0.32812 val_loss= 1.37438 val_acc= 0.32143 time= 0.01464
Epoch: 0091 train_loss= 1.36173 train_acc= 0.32422 val_loss= 1.37418 val_acc= 0.32143 time= 0.01400
Epoch: 0092 train_loss= 1.36177 train_acc= 0.32422 val_loss= 1.37385 val_acc= 0.32143 time= 0.00684
Epoch: 0093 train_loss= 1.36022 train_acc= 0.32422 val_loss= 1.37332 val_acc= 0.32143 time= 0.01563
Epoch: 0094 train_loss= 1.36027 train_acc= 0.32812 val_loss= 1.37304 val_acc= 0.32143 time= 0.01562
Epoch: 0095 train_loss= 1.36078 train_acc= 0.33008 val_loss= 1.37299 val_acc= 0.32143 time= 0.01563
Epoch: 0096 train_loss= 1.36136 train_acc= 0.32617 val_loss= 1.37307 val_acc= 0.32143 time= 0.01563
Epoch: 0097 train_loss= 1.35957 train_acc= 0.32617 val_loss= 1.37340 val_acc= 0.32143 time= 0.00000
Epoch: 0098 train_loss= 1.35958 train_acc= 0.32617 val_loss= 1.37364 val_acc= 0.32143 time= 0.03037
Epoch: 0099 train_loss= 1.35951 train_acc= 0.32812 val_loss= 1.37342 val_acc= 0.32143 time= 0.01500
Epoch: 0100 train_loss= 1.35936 train_acc= 0.32617 val_loss= 1.37305 val_acc= 0.32143 time= 0.01500
Epoch: 0101 train_loss= 1.35967 train_acc= 0.32422 val_loss= 1.37274 val_acc= 0.32143 time= 0.01900
Epoch: 0102 train_loss= 1.35989 train_acc= 0.32812 val_loss= 1.37257 val_acc= 0.32143 time= 0.02000
Epoch: 0103 train_loss= 1.36102 train_acc= 0.32617 val_loss= 1.37231 val_acc= 0.32143 time= 0.02220
Epoch: 0104 train_loss= 1.35825 train_acc= 0.33008 val_loss= 1.37227 val_acc= 0.32143 time= 0.02000
Epoch: 0105 train_loss= 1.35951 train_acc= 0.32617 val_loss= 1.37247 val_acc= 0.32143 time= 0.02130
Epoch: 0106 train_loss= 1.35806 train_acc= 0.32422 val_loss= 1.37249 val_acc= 0.32143 time= 0.01700
Epoch: 0107 train_loss= 1.36036 train_acc= 0.32812 val_loss= 1.37242 val_acc= 0.32143 time= 0.02000
Epoch: 0108 train_loss= 1.36028 train_acc= 0.32422 val_loss= 1.37215 val_acc= 0.32143 time= 0.01500
Epoch: 0109 train_loss= 1.35985 train_acc= 0.32422 val_loss= 1.37194 val_acc= 0.32143 time= 0.01500
Epoch: 0110 train_loss= 1.35889 train_acc= 0.32617 val_loss= 1.37162 val_acc= 0.32143 time= 0.01500
Epoch: 0111 train_loss= 1.35782 train_acc= 0.33008 val_loss= 1.37145 val_acc= 0.32143 time= 0.01500
Epoch: 0112 train_loss= 1.36033 train_acc= 0.32422 val_loss= 1.37162 val_acc= 0.32143 time= 0.01379
Epoch: 0113 train_loss= 1.35803 train_acc= 0.33008 val_loss= 1.37149 val_acc= 0.32143 time= 0.01400
Epoch: 0114 train_loss= 1.35799 train_acc= 0.32422 val_loss= 1.37105 val_acc= 0.32143 time= 0.00100
Epoch: 0115 train_loss= 1.35862 train_acc= 0.32422 val_loss= 1.37073 val_acc= 0.32143 time= 0.02685
Epoch: 0116 train_loss= 1.35826 train_acc= 0.33008 val_loss= 1.37101 val_acc= 0.32143 time= 0.01200
Epoch: 0117 train_loss= 1.35803 train_acc= 0.33594 val_loss= 1.37110 val_acc= 0.32143 time= 0.00105
Epoch: 0118 train_loss= 1.35791 train_acc= 0.32617 val_loss= 1.37137 val_acc= 0.32143 time= 0.02840
Epoch: 0119 train_loss= 1.35822 train_acc= 0.32812 val_loss= 1.37167 val_acc= 0.32143 time= 0.01600
Early stopping...
Optimization Finished!
Test set results: cost= 1.36972 accuracy= 0.30088 time= 0.00600 
