Open amirj opened 8 years ago
After some iterations the following error is occurred:
... 128 samples computed 256 samples computed 384 samples computed 462 samples computed Valid 2.78936 Epoch 0 Update 88100 Cost 0.587470054626 UD 1.63904905319 NaN detected
Reloading the model using reload=True parameter, continue the learning process. It maybe related to this issue.
reload=True
Have you tried @orhanf 's suggestions in the issue you linked? For my use case it seems like applying gradient clipping (setting clip-c to 1.0) solved the problem of NaNs.
clip-c
NaN
After some iterations the following error is occurred:
Reloading the model using
reload=True
parameter, continue the learning process. It maybe related to this issue.