Epoch: 0001 train_loss= 0.71772 train_acc= 0.47792 val_loss= 0.71311 val_acc= 0.45902 time= 0.81433
Epoch: 0002 train_loss= 0.71127 train_acc= 0.48052 val_loss= 0.70845 val_acc= 0.45902 time= 0.00000
Epoch: 0003 train_loss= 0.70485 train_acc= 0.47792 val_loss= 0.70470 val_acc= 0.47541 time= 0.01562
Epoch: 0004 train_loss= 0.70174 train_acc= 0.46883 val_loss= 0.70175 val_acc= 0.45902 time= 0.00000
Epoch: 0005 train_loss= 0.69969 train_acc= 0.47792 val_loss= 0.69955 val_acc= 0.42623 time= 0.01562
Epoch: 0006 train_loss= 0.69885 train_acc= 0.50519 val_loss= 0.69793 val_acc= 0.54098 time= 0.00000
Epoch: 0007 train_loss= 0.69551 train_acc= 0.52208 val_loss= 0.69683 val_acc= 0.50820 time= 0.00000
Epoch: 0008 train_loss= 0.69581 train_acc= 0.51818 val_loss= 0.69613 val_acc= 0.52459 time= 0.01563
Epoch: 0009 train_loss= 0.69515 train_acc= 0.51688 val_loss= 0.69576 val_acc= 0.50820 time= 0.00000
Epoch: 0010 train_loss= 0.69774 train_acc= 0.52597 val_loss= 0.69556 val_acc= 0.50820 time= 0.01563
Epoch: 0011 train_loss= 0.69565 train_acc= 0.52338 val_loss= 0.69541 val_acc= 0.50820 time= 0.00000
Epoch: 0012 train_loss= 0.69454 train_acc= 0.51948 val_loss= 0.69525 val_acc= 0.50820 time= 0.00000
Epoch: 0013 train_loss= 0.69758 train_acc= 0.51429 val_loss= 0.69509 val_acc= 0.50820 time= 0.01562
Epoch: 0014 train_loss= 0.69556 train_acc= 0.51688 val_loss= 0.69491 val_acc= 0.50820 time= 0.00000
Epoch: 0015 train_loss= 0.69505 train_acc= 0.52857 val_loss= 0.69467 val_acc= 0.50820 time= 0.00000
Epoch: 0016 train_loss= 0.69606 train_acc= 0.51818 val_loss= 0.69441 val_acc= 0.50820 time= 0.01563
Epoch: 0017 train_loss= 0.69495 train_acc= 0.51948 val_loss= 0.69419 val_acc= 0.50820 time= 0.00000
Epoch: 0018 train_loss= 0.69491 train_acc= 0.52208 val_loss= 0.69398 val_acc= 0.50820 time= 0.01563
Epoch: 0019 train_loss= 0.69367 train_acc= 0.52857 val_loss= 0.69378 val_acc= 0.50820 time= 0.00000
Epoch: 0020 train_loss= 0.69369 train_acc= 0.51688 val_loss= 0.69366 val_acc= 0.50820 time= 0.00000
Epoch: 0021 train_loss= 0.69239 train_acc= 0.51558 val_loss= 0.69364 val_acc= 0.50820 time= 0.01563
Epoch: 0022 train_loss= 0.69432 train_acc= 0.50779 val_loss= 0.69366 val_acc= 0.52459 time= 0.00000
Epoch: 0023 train_loss= 0.69241 train_acc= 0.51948 val_loss= 0.69369 val_acc= 0.52459 time= 0.00000
Epoch: 0024 train_loss= 0.69400 train_acc= 0.52338 val_loss= 0.69371 val_acc= 0.50820 time= 0.01563
Epoch: 0025 train_loss= 0.69254 train_acc= 0.53377 val_loss= 0.69373 val_acc= 0.50820 time= 0.00000
Epoch: 0026 train_loss= 0.69243 train_acc= 0.51818 val_loss= 0.69368 val_acc= 0.50820 time= 0.01563
Epoch: 0027 train_loss= 0.69395 train_acc= 0.49351 val_loss= 0.69358 val_acc= 0.50820 time= 0.00000
Epoch: 0028 train_loss= 0.69177 train_acc= 0.50130 val_loss= 0.69346 val_acc= 0.50820 time= 0.00000
Epoch: 0029 train_loss= 0.69266 train_acc= 0.52468 val_loss= 0.69329 val_acc= 0.52459 time= 0.01563
Epoch: 0030 train_loss= 0.69271 train_acc= 0.53377 val_loss= 0.69312 val_acc= 0.52459 time= 0.00000
Epoch: 0031 train_loss= 0.69361 train_acc= 0.51429 val_loss= 0.69297 val_acc= 0.52459 time= 0.01563
Epoch: 0032 train_loss= 0.69208 train_acc= 0.51818 val_loss= 0.69286 val_acc= 0.50820 time= 0.00000
Epoch: 0033 train_loss= 0.69228 train_acc= 0.51688 val_loss= 0.69277 val_acc= 0.50820 time= 0.00000
Epoch: 0034 train_loss= 0.69185 train_acc= 0.52597 val_loss= 0.69270 val_acc= 0.50820 time= 0.01563
Epoch: 0035 train_loss= 0.69233 train_acc= 0.54805 val_loss= 0.69265 val_acc= 0.50820 time= 0.00000
Epoch: 0036 train_loss= 0.69225 train_acc= 0.52857 val_loss= 0.69259 val_acc= 0.52459 time= 0.00000
Epoch: 0037 train_loss= 0.69315 train_acc= 0.51818 val_loss= 0.69253 val_acc= 0.52459 time= 0.01563
Epoch: 0038 train_loss= 0.69252 train_acc= 0.53247 val_loss= 0.69244 val_acc= 0.52459 time= 0.00000
Epoch: 0039 train_loss= 0.69005 train_acc= 0.52468 val_loss= 0.69234 val_acc= 0.52459 time= 0.00000
Epoch: 0040 train_loss= 0.69409 train_acc= 0.50909 val_loss= 0.69223 val_acc= 0.52459 time= 0.01563
Epoch: 0041 train_loss= 0.69409 train_acc= 0.52468 val_loss= 0.69215 val_acc= 0.52459 time= 0.00000
Epoch: 0042 train_loss= 0.69310 train_acc= 0.52727 val_loss= 0.69207 val_acc= 0.52459 time= 0.01563
Epoch: 0043 train_loss= 0.69380 train_acc= 0.52338 val_loss= 0.69200 val_acc= 0.52459 time= 0.00000
Epoch: 0044 train_loss= 0.69324 train_acc= 0.52857 val_loss= 0.69193 val_acc= 0.52459 time= 0.01563
Epoch: 0045 train_loss= 0.69084 train_acc= 0.52987 val_loss= 0.69190 val_acc= 0.50820 time= 0.00000
Epoch: 0046 train_loss= 0.69319 train_acc= 0.53896 val_loss= 0.69187 val_acc= 0.50820 time= 0.00000
Epoch: 0047 train_loss= 0.69183 train_acc= 0.52468 val_loss= 0.69187 val_acc= 0.50820 time= 0.01563
Epoch: 0048 train_loss= 0.69209 train_acc= 0.51429 val_loss= 0.69189 val_acc= 0.52459 time= 0.00000
Epoch: 0049 train_loss= 0.69181 train_acc= 0.54675 val_loss= 0.69187 val_acc= 0.52459 time= 0.01563
Epoch: 0050 train_loss= 0.69111 train_acc= 0.54286 val_loss= 0.69184 val_acc= 0.52459 time= 0.00000
Epoch: 0051 train_loss= 0.69249 train_acc= 0.51948 val_loss= 0.69183 val_acc= 0.52459 time= 0.01563
Epoch: 0052 train_loss= 0.69174 train_acc= 0.51818 val_loss= 0.69179 val_acc= 0.52459 time= 0.00000
Epoch: 0053 train_loss= 0.69174 train_acc= 0.52078 val_loss= 0.69175 val_acc= 0.52459 time= 0.01563
Epoch: 0054 train_loss= 0.69045 train_acc= 0.52987 val_loss= 0.69171 val_acc= 0.52459 time= 0.00000
Epoch: 0055 train_loss= 0.69149 train_acc= 0.54026 val_loss= 0.69169 val_acc= 0.52459 time= 0.00000
Epoch: 0056 train_loss= 0.69057 train_acc= 0.52597 val_loss= 0.69167 val_acc= 0.52459 time= 0.01563
Epoch: 0057 train_loss= 0.69387 train_acc= 0.51299 val_loss= 0.69166 val_acc= 0.52459 time= 0.00000
Epoch: 0058 train_loss= 0.69099 train_acc= 0.53896 val_loss= 0.69162 val_acc= 0.52459 time= 0.01563
Epoch: 0059 train_loss= 0.69392 train_acc= 0.51948 val_loss= 0.69162 val_acc= 0.52459 time= 0.00000
Epoch: 0060 train_loss= 0.69182 train_acc= 0.52597 val_loss= 0.69161 val_acc= 0.52459 time= 0.00000
Epoch: 0061 train_loss= 0.69071 train_acc= 0.52338 val_loss= 0.69161 val_acc= 0.52459 time= 0.01563
Epoch: 0062 train_loss= 0.69224 train_acc= 0.52987 val_loss= 0.69161 val_acc= 0.52459 time= 0.00000
Epoch: 0063 train_loss= 0.69258 train_acc= 0.52727 val_loss= 0.69160 val_acc= 0.52459 time= 0.01563
Epoch: 0064 train_loss= 0.69265 train_acc= 0.51039 val_loss= 0.69157 val_acc= 0.52459 time= 0.00000
Epoch: 0065 train_loss= 0.69159 train_acc= 0.53117 val_loss= 0.69156 val_acc= 0.52459 time= 0.00000
Epoch: 0066 train_loss= 0.69253 train_acc= 0.53247 val_loss= 0.69153 val_acc= 0.52459 time= 0.01563
Epoch: 0067 train_loss= 0.69115 train_acc= 0.52987 val_loss= 0.69152 val_acc= 0.52459 time= 0.00000
Epoch: 0068 train_loss= 0.69135 train_acc= 0.53117 val_loss= 0.69150 val_acc= 0.52459 time= 0.01563
Epoch: 0069 train_loss= 0.69137 train_acc= 0.52597 val_loss= 0.69149 val_acc= 0.52459 time= 0.00000
Epoch: 0070 train_loss= 0.69165 train_acc= 0.52597 val_loss= 0.69147 val_acc= 0.52459 time= 0.00000
Epoch: 0071 train_loss= 0.69254 train_acc= 0.52597 val_loss= 0.69147 val_acc= 0.52459 time= 0.01563
Epoch: 0072 train_loss= 0.69170 train_acc= 0.52987 val_loss= 0.69145 val_acc= 0.52459 time= 0.00000
Epoch: 0073 train_loss= 0.69225 train_acc= 0.51818 val_loss= 0.69144 val_acc= 0.52459 time= 0.01563
Epoch: 0074 train_loss= 0.68947 train_acc= 0.53506 val_loss= 0.69143 val_acc= 0.52459 time= 0.00000
Epoch: 0075 train_loss= 0.69250 train_acc= 0.52468 val_loss= 0.69143 val_acc= 0.52459 time= 0.00000
Epoch: 0076 train_loss= 0.69239 train_acc= 0.51818 val_loss= 0.69143 val_acc= 0.52459 time= 0.01562
Epoch: 0077 train_loss= 0.69125 train_acc= 0.53117 val_loss= 0.69143 val_acc= 0.52459 time= 0.00000
Epoch: 0078 train_loss= 0.69254 train_acc= 0.52727 val_loss= 0.69143 val_acc= 0.52459 time= 0.01563
Epoch: 0079 train_loss= 0.69138 train_acc= 0.51558 val_loss= 0.69143 val_acc= 0.52459 time= 0.00000
Epoch: 0080 train_loss= 0.69243 train_acc= 0.52987 val_loss= 0.69142 val_acc= 0.52459 time= 0.00000
Epoch: 0081 train_loss= 0.69091 train_acc= 0.53247 val_loss= 0.69138 val_acc= 0.52459 time= 0.01563
Epoch: 0082 train_loss= 0.69208 train_acc= 0.52468 val_loss= 0.69134 val_acc= 0.52459 time= 0.00000
Epoch: 0083 train_loss= 0.69088 train_acc= 0.53117 val_loss= 0.69129 val_acc= 0.52459 time= 0.01563
Epoch: 0084 train_loss= 0.69077 train_acc= 0.52987 val_loss= 0.69126 val_acc= 0.52459 time= 0.00000
Epoch: 0085 train_loss= 0.69190 train_acc= 0.50649 val_loss= 0.69123 val_acc= 0.52459 time= 0.00000
Epoch: 0086 train_loss= 0.69276 train_acc= 0.52597 val_loss= 0.69121 val_acc= 0.54098 time= 0.01563
Epoch: 0087 train_loss= 0.69201 train_acc= 0.51429 val_loss= 0.69120 val_acc= 0.54098 time= 0.00000
Epoch: 0088 train_loss= 0.69137 train_acc= 0.54026 val_loss= 0.69121 val_acc= 0.52459 time= 0.01563
Epoch: 0089 train_loss= 0.69109 train_acc= 0.52468 val_loss= 0.69124 val_acc= 0.52459 time= 0.00000
Epoch: 0090 train_loss= 0.69143 train_acc= 0.51948 val_loss= 0.69131 val_acc= 0.52459 time= 0.00000
Early stopping...
Optimization Finished!
Test set results: cost= 0.69762 accuracy= 0.45902 time= 0.01562 
