Epoch: 0001 train_loss= 0.69927 train_acc= 0.49818 val_loss= 0.69756 val_acc= 0.50820 time= 0.35859
Epoch: 0002 train_loss= 0.69819 train_acc= 0.53091 val_loss= 0.69638 val_acc= 0.50820 time= 0.01500
Epoch: 0003 train_loss= 0.69790 train_acc= 0.53273 val_loss= 0.69566 val_acc= 0.50820 time= 0.00406
Epoch: 0004 train_loss= 0.69776 train_acc= 0.53273 val_loss= 0.69519 val_acc= 0.50820 time= 0.01563
Epoch: 0005 train_loss= 0.69705 train_acc= 0.53273 val_loss= 0.69482 val_acc= 0.50820 time= 0.01563
Epoch: 0006 train_loss= 0.69670 train_acc= 0.53091 val_loss= 0.69452 val_acc= 0.50820 time= 0.01563
Epoch: 0007 train_loss= 0.69603 train_acc= 0.53273 val_loss= 0.69427 val_acc= 0.50820 time= 0.01563
Epoch: 0008 train_loss= 0.69603 train_acc= 0.53273 val_loss= 0.69406 val_acc= 0.50820 time= 0.01563
Epoch: 0009 train_loss= 0.69581 train_acc= 0.53273 val_loss= 0.69390 val_acc= 0.50820 time= 0.00000
Epoch: 0010 train_loss= 0.69545 train_acc= 0.53091 val_loss= 0.69380 val_acc= 0.50820 time= 0.01563
Epoch: 0011 train_loss= 0.69519 train_acc= 0.53091 val_loss= 0.69365 val_acc= 0.50820 time= 0.01563
Epoch: 0012 train_loss= 0.69473 train_acc= 0.53273 val_loss= 0.69347 val_acc= 0.50820 time= 0.01563
Epoch: 0013 train_loss= 0.69473 train_acc= 0.53273 val_loss= 0.69331 val_acc= 0.50820 time= 0.01563
Epoch: 0014 train_loss= 0.69457 train_acc= 0.53091 val_loss= 0.69314 val_acc= 0.50820 time= 0.00000
Epoch: 0015 train_loss= 0.69411 train_acc= 0.53273 val_loss= 0.69294 val_acc= 0.50820 time= 0.01563
Epoch: 0016 train_loss= 0.69388 train_acc= 0.53273 val_loss= 0.69274 val_acc= 0.50820 time= 0.01562
Epoch: 0017 train_loss= 0.69391 train_acc= 0.53091 val_loss= 0.69254 val_acc= 0.50820 time= 0.01563
Epoch: 0018 train_loss= 0.69344 train_acc= 0.53273 val_loss= 0.69233 val_acc= 0.50820 time= 0.01563
Epoch: 0019 train_loss= 0.69358 train_acc= 0.53091 val_loss= 0.69213 val_acc= 0.50820 time= 0.00000
Epoch: 0020 train_loss= 0.69316 train_acc= 0.53273 val_loss= 0.69194 val_acc= 0.50820 time= 0.01563
Epoch: 0021 train_loss= 0.69329 train_acc= 0.53273 val_loss= 0.69176 val_acc= 0.50820 time= 0.01563
Epoch: 0022 train_loss= 0.69311 train_acc= 0.53273 val_loss= 0.69160 val_acc= 0.50820 time= 0.01938
Epoch: 0023 train_loss= 0.69341 train_acc= 0.53091 val_loss= 0.69149 val_acc= 0.50820 time= 0.01201
Epoch: 0024 train_loss= 0.69322 train_acc= 0.53273 val_loss= 0.69141 val_acc= 0.50820 time= 0.00000
Epoch: 0025 train_loss= 0.69288 train_acc= 0.53091 val_loss= 0.69134 val_acc= 0.50820 time= 0.01563
Epoch: 0026 train_loss= 0.69290 train_acc= 0.53273 val_loss= 0.69130 val_acc= 0.50820 time= 0.01563
Epoch: 0027 train_loss= 0.69295 train_acc= 0.53273 val_loss= 0.69129 val_acc= 0.50820 time= 0.01563
Epoch: 0028 train_loss= 0.69282 train_acc= 0.53273 val_loss= 0.69130 val_acc= 0.50820 time= 0.00000
Epoch: 0029 train_loss= 0.69290 train_acc= 0.53273 val_loss= 0.69134 val_acc= 0.50820 time= 0.01563
Epoch: 0030 train_loss= 0.69276 train_acc= 0.53273 val_loss= 0.69137 val_acc= 0.50820 time= 0.01563
Epoch: 0031 train_loss= 0.69230 train_acc= 0.53273 val_loss= 0.69137 val_acc= 0.50820 time= 0.00000
Epoch: 0032 train_loss= 0.69267 train_acc= 0.53273 val_loss= 0.69135 val_acc= 0.50820 time= 0.00000
Epoch: 0033 train_loss= 0.69240 train_acc= 0.53273 val_loss= 0.69130 val_acc= 0.50820 time= 0.01563
Epoch: 0034 train_loss= 0.69297 train_acc= 0.53455 val_loss= 0.69127 val_acc= 0.50820 time= 0.01563
Epoch: 0035 train_loss= 0.69279 train_acc= 0.53273 val_loss= 0.69121 val_acc= 0.50820 time= 0.01563
Epoch: 0036 train_loss= 0.69278 train_acc= 0.53273 val_loss= 0.69119 val_acc= 0.50820 time= 0.00000
Epoch: 0037 train_loss= 0.69240 train_acc= 0.53273 val_loss= 0.69116 val_acc= 0.50820 time= 0.01563
Epoch: 0038 train_loss= 0.69270 train_acc= 0.53091 val_loss= 0.69116 val_acc= 0.50820 time= 0.01563
Epoch: 0039 train_loss= 0.69269 train_acc= 0.53273 val_loss= 0.69119 val_acc= 0.50820 time= 0.01562
Epoch: 0040 train_loss= 0.69273 train_acc= 0.53273 val_loss= 0.69127 val_acc= 0.50820 time= 0.00000
Early stopping...
Optimization Finished!
Test set results: cost= 0.69558 accuracy= 0.46721 time= 0.01563 
