Kernel died, restarting on training spaCy NER model

i am getting following error whenever i am training the model.

Kernel died, restarting

kernel is restarting in this line. Inside a loop. self._nlp.update([text],[annotations],drop=float(dropout),sgd=optimizer,losses=losses)

occasionally it works and train successfully but most of the times it is restarting the kernel when i individually run the failed text it passes but training fails most of the time any help will be appreciated

Your Environment

• Operating System: Windows 10
• Python Version Used: 3.6.5
• spaCy Version Used: 2.0.10
• Environment Information: Anaconda

[CYUlysses]

I had to reduce my batch size to 3 to reduce the “crash chance” to below 1 out of every 10 iterations. Would be helpful if spaCy can throw an Exception instead of just crashing the kernel.

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