NaN detected

[amirj]

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.

[valentinkoe]

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.