Epoch: 0001 train_loss= 1.39437 train_acc= 0.21680 val_loss= 1.39160 val_acc= 0.25000 time= 0.46914
Epoch: 0002 train_loss= 1.39156 train_acc= 0.28125 val_loss= 1.38955 val_acc= 0.33929 time= 0.03125
Epoch: 0003 train_loss= 1.38930 train_acc= 0.30078 val_loss= 1.38788 val_acc= 0.39286 time= 0.01563
Epoch: 0004 train_loss= 1.38753 train_acc= 0.33203 val_loss= 1.38658 val_acc= 0.25000 time= 0.01563
Epoch: 0005 train_loss= 1.38621 train_acc= 0.29492 val_loss= 1.38565 val_acc= 0.25000 time= 0.01563
Epoch: 0006 train_loss= 1.38506 train_acc= 0.28125 val_loss= 1.38497 val_acc= 0.25000 time= 0.01563
Epoch: 0007 train_loss= 1.38416 train_acc= 0.30859 val_loss= 1.38447 val_acc= 0.25000 time= 0.00000
Epoch: 0008 train_loss= 1.38400 train_acc= 0.26562 val_loss= 1.38407 val_acc= 0.25000 time= 0.01563
Epoch: 0009 train_loss= 1.38362 train_acc= 0.28320 val_loss= 1.38372 val_acc= 0.25000 time= 0.01563
Epoch: 0010 train_loss= 1.38260 train_acc= 0.29297 val_loss= 1.38341 val_acc= 0.25000 time= 0.01563
Epoch: 0011 train_loss= 1.38245 train_acc= 0.27930 val_loss= 1.38312 val_acc= 0.25000 time= 0.01563
Epoch: 0012 train_loss= 1.38254 train_acc= 0.28125 val_loss= 1.38281 val_acc= 0.26786 time= 0.01563
Epoch: 0013 train_loss= 1.38161 train_acc= 0.30469 val_loss= 1.38249 val_acc= 0.33929 time= 0.01563
Epoch: 0014 train_loss= 1.38185 train_acc= 0.28711 val_loss= 1.38213 val_acc= 0.32143 time= 0.00000
Epoch: 0015 train_loss= 1.38112 train_acc= 0.32031 val_loss= 1.38179 val_acc= 0.32143 time= 0.01563
Epoch: 0016 train_loss= 1.38051 train_acc= 0.28711 val_loss= 1.38145 val_acc= 0.32143 time= 0.01562
Epoch: 0017 train_loss= 1.38084 train_acc= 0.29297 val_loss= 1.38105 val_acc= 0.32143 time= 0.01563
Epoch: 0018 train_loss= 1.38032 train_acc= 0.30664 val_loss= 1.38071 val_acc= 0.32143 time= 0.01562
Epoch: 0019 train_loss= 1.37948 train_acc= 0.29492 val_loss= 1.38038 val_acc= 0.32143 time= 0.01563
Epoch: 0020 train_loss= 1.37915 train_acc= 0.29297 val_loss= 1.38006 val_acc= 0.32143 time= 0.01563
Epoch: 0021 train_loss= 1.37899 train_acc= 0.30469 val_loss= 1.37973 val_acc= 0.32143 time= 0.00000
Epoch: 0022 train_loss= 1.37838 train_acc= 0.30273 val_loss= 1.37948 val_acc= 0.32143 time= 0.00000
Epoch: 0023 train_loss= 1.37736 train_acc= 0.31445 val_loss= 1.37935 val_acc= 0.32143 time= 0.01563
Epoch: 0024 train_loss= 1.37776 train_acc= 0.30078 val_loss= 1.37920 val_acc= 0.32143 time= 0.01563
Epoch: 0025 train_loss= 1.37711 train_acc= 0.30078 val_loss= 1.37897 val_acc= 0.32143 time= 0.01563
Epoch: 0026 train_loss= 1.37711 train_acc= 0.30078 val_loss= 1.37873 val_acc= 0.32143 time= 0.01563
Epoch: 0027 train_loss= 1.37725 train_acc= 0.30469 val_loss= 1.37853 val_acc= 0.32143 time= 0.01563
Epoch: 0028 train_loss= 1.37698 train_acc= 0.30078 val_loss= 1.37836 val_acc= 0.32143 time= 0.01563
Epoch: 0029 train_loss= 1.37629 train_acc= 0.29883 val_loss= 1.37822 val_acc= 0.32143 time= 0.01563
Epoch: 0030 train_loss= 1.37663 train_acc= 0.29688 val_loss= 1.37804 val_acc= 0.32143 time= 0.01563
Epoch: 0031 train_loss= 1.37661 train_acc= 0.29883 val_loss= 1.37783 val_acc= 0.32143 time= 0.01563
Epoch: 0032 train_loss= 1.37615 train_acc= 0.29883 val_loss= 1.37766 val_acc= 0.32143 time= 0.01563
Epoch: 0033 train_loss= 1.37580 train_acc= 0.29883 val_loss= 1.37741 val_acc= 0.32143 time= 0.01563
Epoch: 0034 train_loss= 1.37577 train_acc= 0.29883 val_loss= 1.37722 val_acc= 0.32143 time= 0.01563
Epoch: 0035 train_loss= 1.37543 train_acc= 0.29688 val_loss= 1.37699 val_acc= 0.32143 time= 0.01563
Epoch: 0036 train_loss= 1.37464 train_acc= 0.29883 val_loss= 1.37677 val_acc= 0.32143 time= 0.00000
Epoch: 0037 train_loss= 1.37499 train_acc= 0.29883 val_loss= 1.37657 val_acc= 0.32143 time= 0.01563
Epoch: 0038 train_loss= 1.37487 train_acc= 0.29688 val_loss= 1.37643 val_acc= 0.32143 time= 0.01563
Epoch: 0039 train_loss= 1.37503 train_acc= 0.29883 val_loss= 1.37623 val_acc= 0.32143 time= 0.01563
Epoch: 0040 train_loss= 1.37418 train_acc= 0.29883 val_loss= 1.37607 val_acc= 0.32143 time= 0.01563
Epoch: 0041 train_loss= 1.37451 train_acc= 0.29883 val_loss= 1.37597 val_acc= 0.32143 time= 0.01563
Epoch: 0042 train_loss= 1.37423 train_acc= 0.29883 val_loss= 1.37586 val_acc= 0.32143 time= 0.01563
Epoch: 0043 train_loss= 1.37414 train_acc= 0.29883 val_loss= 1.37574 val_acc= 0.32143 time= 0.03125
Epoch: 0044 train_loss= 1.37416 train_acc= 0.29883 val_loss= 1.37570 val_acc= 0.32143 time= 0.01563
Epoch: 0045 train_loss= 1.37388 train_acc= 0.29883 val_loss= 1.37548 val_acc= 0.32143 time= 0.01563
Epoch: 0046 train_loss= 1.37369 train_acc= 0.29688 val_loss= 1.37526 val_acc= 0.32143 time= 0.01563
Epoch: 0047 train_loss= 1.37344 train_acc= 0.29883 val_loss= 1.37506 val_acc= 0.32143 time= 0.00000
Epoch: 0048 train_loss= 1.37347 train_acc= 0.29883 val_loss= 1.37485 val_acc= 0.32143 time= 0.01563
Epoch: 0049 train_loss= 1.37353 train_acc= 0.29883 val_loss= 1.37462 val_acc= 0.32143 time= 0.01563
Epoch: 0050 train_loss= 1.37349 train_acc= 0.29883 val_loss= 1.37449 val_acc= 0.32143 time= 0.01562
Epoch: 0051 train_loss= 1.37319 train_acc= 0.29883 val_loss= 1.37442 val_acc= 0.32143 time= 0.01563
Epoch: 0052 train_loss= 1.37327 train_acc= 0.30078 val_loss= 1.37426 val_acc= 0.32143 time= 0.01563
Epoch: 0053 train_loss= 1.37254 train_acc= 0.29883 val_loss= 1.37408 val_acc= 0.32143 time= 0.01563
Epoch: 0054 train_loss= 1.37317 train_acc= 0.29883 val_loss= 1.37400 val_acc= 0.32143 time= 0.01563
Epoch: 0055 train_loss= 1.37325 train_acc= 0.29883 val_loss= 1.37402 val_acc= 0.32143 time= 0.00000
Epoch: 0056 train_loss= 1.37259 train_acc= 0.29883 val_loss= 1.37396 val_acc= 0.32143 time= 0.01563
Epoch: 0057 train_loss= 1.37260 train_acc= 0.29883 val_loss= 1.37376 val_acc= 0.32143 time= 0.01563
Epoch: 0058 train_loss= 1.37297 train_acc= 0.29883 val_loss= 1.37347 val_acc= 0.32143 time= 0.01563
Epoch: 0059 train_loss= 1.37303 train_acc= 0.29883 val_loss= 1.37324 val_acc= 0.32143 time= 0.01563
Epoch: 0060 train_loss= 1.37344 train_acc= 0.29883 val_loss= 1.37302 val_acc= 0.32143 time= 0.01563
Epoch: 0061 train_loss= 1.37237 train_acc= 0.29883 val_loss= 1.37272 val_acc= 0.32143 time= 0.00000
Epoch: 0062 train_loss= 1.37220 train_acc= 0.29883 val_loss= 1.37228 val_acc= 0.32143 time= 0.01563
Epoch: 0063 train_loss= 1.37162 train_acc= 0.29883 val_loss= 1.37220 val_acc= 0.32143 time= 0.01563
Epoch: 0064 train_loss= 1.37135 train_acc= 0.29883 val_loss= 1.37236 val_acc= 0.32143 time= 0.01563
Epoch: 0065 train_loss= 1.37127 train_acc= 0.29883 val_loss= 1.37245 val_acc= 0.32143 time= 0.01563
Epoch: 0066 train_loss= 1.37151 train_acc= 0.29883 val_loss= 1.37246 val_acc= 0.32143 time= 0.00000
Epoch: 0067 train_loss= 1.37191 train_acc= 0.29883 val_loss= 1.37223 val_acc= 0.32143 time= 0.01563
Epoch: 0068 train_loss= 1.37027 train_acc= 0.29883 val_loss= 1.37183 val_acc= 0.32143 time= 0.01562
Epoch: 0069 train_loss= 1.37060 train_acc= 0.29883 val_loss= 1.37126 val_acc= 0.32143 time= 0.00000
Epoch: 0070 train_loss= 1.37169 train_acc= 0.29883 val_loss= 1.37101 val_acc= 0.32143 time= 0.01563
Epoch: 0071 train_loss= 1.37116 train_acc= 0.29883 val_loss= 1.37092 val_acc= 0.32143 time= 0.01562
Epoch: 0072 train_loss= 1.37015 train_acc= 0.30078 val_loss= 1.37076 val_acc= 0.32143 time= 0.01563
Epoch: 0073 train_loss= 1.37022 train_acc= 0.30078 val_loss= 1.37072 val_acc= 0.32143 time= 0.01562
Epoch: 0074 train_loss= 1.37084 train_acc= 0.30078 val_loss= 1.37082 val_acc= 0.32143 time= 0.01563
Epoch: 0075 train_loss= 1.36951 train_acc= 0.29883 val_loss= 1.37098 val_acc= 0.32143 time= 0.01563
Epoch: 0076 train_loss= 1.36995 train_acc= 0.30273 val_loss= 1.37078 val_acc= 0.32143 time= 0.01563
Epoch: 0077 train_loss= 1.36946 train_acc= 0.29883 val_loss= 1.37038 val_acc= 0.32143 time= 0.01563
Epoch: 0078 train_loss= 1.37042 train_acc= 0.29883 val_loss= 1.36957 val_acc= 0.32143 time= 0.01563
Epoch: 0079 train_loss= 1.37031 train_acc= 0.30273 val_loss= 1.36905 val_acc= 0.32143 time= 0.01713
Epoch: 0080 train_loss= 1.36941 train_acc= 0.29688 val_loss= 1.36840 val_acc= 0.32143 time= 0.01652
Epoch: 0081 train_loss= 1.36980 train_acc= 0.30078 val_loss= 1.36826 val_acc= 0.32143 time= 0.01652
Epoch: 0082 train_loss= 1.36937 train_acc= 0.30664 val_loss= 1.36845 val_acc= 0.32143 time= 0.01351
Epoch: 0083 train_loss= 1.36904 train_acc= 0.30273 val_loss= 1.36880 val_acc= 0.32143 time= 0.01301
Epoch: 0084 train_loss= 1.36907 train_acc= 0.30273 val_loss= 1.36875 val_acc= 0.32143 time= 0.01563
Epoch: 0085 train_loss= 1.36936 train_acc= 0.30078 val_loss= 1.36827 val_acc= 0.32143 time= 0.00000
Epoch: 0086 train_loss= 1.36906 train_acc= 0.30078 val_loss= 1.36753 val_acc= 0.32143 time= 0.01563
Epoch: 0087 train_loss= 1.36817 train_acc= 0.30273 val_loss= 1.36681 val_acc= 0.32143 time= 0.01563
Epoch: 0088 train_loss= 1.36975 train_acc= 0.30078 val_loss= 1.36682 val_acc= 0.32143 time= 0.01563
Epoch: 0089 train_loss= 1.36804 train_acc= 0.30078 val_loss= 1.36760 val_acc= 0.32143 time= 0.01563
Epoch: 0090 train_loss= 1.36860 train_acc= 0.29883 val_loss= 1.36804 val_acc= 0.32143 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 1.39734 accuracy= 0.28319 time= 0.00000 
