Epoch: 0001 train_loss= 0.69966 train_acc= 0.47818 val_loss= 0.69846 val_acc= 0.52459 time= 0.38509
Epoch: 0002 train_loss= 0.69888 train_acc= 0.50909 val_loss= 0.69776 val_acc= 0.52459 time= 0.01123
Epoch: 0003 train_loss= 0.69796 train_acc= 0.50909 val_loss= 0.69719 val_acc= 0.52459 time= 0.01562
Epoch: 0004 train_loss= 0.69756 train_acc= 0.50727 val_loss= 0.69673 val_acc= 0.52459 time= 0.00000
Epoch: 0005 train_loss= 0.69751 train_acc= 0.51455 val_loss= 0.69632 val_acc= 0.52459 time= 0.02055
Epoch: 0006 train_loss= 0.69676 train_acc= 0.51636 val_loss= 0.69594 val_acc= 0.52459 time= 0.01100
Epoch: 0007 train_loss= 0.69655 train_acc= 0.51091 val_loss= 0.69560 val_acc= 0.52459 time= 0.01563
Epoch: 0008 train_loss= 0.69591 train_acc= 0.51455 val_loss= 0.69529 val_acc= 0.52459 time= 0.01563
Epoch: 0009 train_loss= 0.69586 train_acc= 0.51455 val_loss= 0.69501 val_acc= 0.52459 time= 0.01563
Epoch: 0010 train_loss= 0.69510 train_acc= 0.51273 val_loss= 0.69476 val_acc= 0.52459 time= 0.00000
Epoch: 0011 train_loss= 0.69509 train_acc= 0.51818 val_loss= 0.69454 val_acc= 0.52459 time= 0.01563
Epoch: 0012 train_loss= 0.69515 train_acc= 0.51636 val_loss= 0.69435 val_acc= 0.52459 time= 0.01563
Epoch: 0013 train_loss= 0.69482 train_acc= 0.51091 val_loss= 0.69418 val_acc= 0.52459 time= 0.01562
Epoch: 0014 train_loss= 0.69442 train_acc= 0.51455 val_loss= 0.69402 val_acc= 0.52459 time= 0.01563
Epoch: 0015 train_loss= 0.69405 train_acc= 0.51455 val_loss= 0.69386 val_acc= 0.52459 time= 0.00000
Epoch: 0016 train_loss= 0.69416 train_acc= 0.52000 val_loss= 0.69372 val_acc= 0.52459 time= 0.01563
Epoch: 0017 train_loss= 0.69420 train_acc= 0.50909 val_loss= 0.69361 val_acc= 0.52459 time= 0.01563
Epoch: 0018 train_loss= 0.69385 train_acc= 0.51273 val_loss= 0.69349 val_acc= 0.52459 time= 0.01563
Epoch: 0019 train_loss= 0.69403 train_acc= 0.51273 val_loss= 0.69337 val_acc= 0.52459 time= 0.01563
Epoch: 0020 train_loss= 0.69354 train_acc= 0.51273 val_loss= 0.69327 val_acc= 0.52459 time= 0.00000
Epoch: 0021 train_loss= 0.69364 train_acc= 0.50909 val_loss= 0.69318 val_acc= 0.52459 time= 0.01563
Epoch: 0022 train_loss= 0.69361 train_acc= 0.50909 val_loss= 0.69311 val_acc= 0.52459 time= 0.01563
Epoch: 0023 train_loss= 0.69341 train_acc= 0.51636 val_loss= 0.69306 val_acc= 0.52459 time= 0.01563
Epoch: 0024 train_loss= 0.69334 train_acc= 0.51455 val_loss= 0.69304 val_acc= 0.52459 time= 0.00000
Epoch: 0025 train_loss= 0.69333 train_acc= 0.50727 val_loss= 0.69303 val_acc= 0.52459 time= 0.01563
Epoch: 0026 train_loss= 0.69323 train_acc= 0.51091 val_loss= 0.69297 val_acc= 0.52459 time= 0.01563
Epoch: 0027 train_loss= 0.69310 train_acc= 0.50727 val_loss= 0.69289 val_acc= 0.52459 time= 0.01563
Epoch: 0028 train_loss= 0.69329 train_acc= 0.51091 val_loss= 0.69284 val_acc= 0.52459 time= 0.01563
Epoch: 0029 train_loss= 0.69328 train_acc= 0.51091 val_loss= 0.69280 val_acc= 0.52459 time= 0.00000
Epoch: 0030 train_loss= 0.69302 train_acc= 0.51091 val_loss= 0.69276 val_acc= 0.52459 time= 0.01563
Epoch: 0031 train_loss= 0.69293 train_acc= 0.51818 val_loss= 0.69273 val_acc= 0.52459 time= 0.01563
Epoch: 0032 train_loss= 0.69317 train_acc= 0.51273 val_loss= 0.69271 val_acc= 0.52459 time= 0.01563
Epoch: 0033 train_loss= 0.69312 train_acc= 0.51273 val_loss= 0.69271 val_acc= 0.52459 time= 0.01562
Epoch: 0034 train_loss= 0.69307 train_acc= 0.50909 val_loss= 0.69270 val_acc= 0.52459 time= 0.01563
Epoch: 0035 train_loss= 0.69301 train_acc= 0.51455 val_loss= 0.69270 val_acc= 0.52459 time= 0.00000
Epoch: 0036 train_loss= 0.69283 train_acc= 0.51455 val_loss= 0.69269 val_acc= 0.52459 time= 0.01563
Epoch: 0037 train_loss= 0.69310 train_acc= 0.51273 val_loss= 0.69267 val_acc= 0.52459 time= 0.01563
Epoch: 0038 train_loss= 0.69333 train_acc= 0.51091 val_loss= 0.69269 val_acc= 0.52459 time= 0.01563
Epoch: 0039 train_loss= 0.69283 train_acc= 0.50909 val_loss= 0.69271 val_acc= 0.52459 time= 0.01563
Epoch: 0040 train_loss= 0.69324 train_acc= 0.51273 val_loss= 0.69275 val_acc= 0.52459 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 0.69206 accuracy= 0.54918 time= 0.00000 
