CODEWITHSUNDEEP
tensorflowmachine-learningdeep-learningnlpgoogle-colaboratory
ar khunteta
ar khunteta

Reputation: 31

Google Colab - Session Crashed error while training

I am trying to train a model on around 4500 text sentences. The embedding is however heavy. The session crashes for number of training clauses > 350. It works fine and displays results till 350 sentences though.

Error message:

Your session crashed after using all available RAM.

Runtime type - GPU

I have hereby attached the screenshot of logs. I am considering training model by batches, but I am a newbie and finding it difficult to have my way around it. Any help will be appreciated. session logs attached

Upvotes: 3

Views: 3873

Answers (1)

user11530462
user11530462

Reputation:

This is basically because of out of memory on Google colab. Google colab provides ~12GB Free RAM, to extend it 25 GB follow the instruction mentioned here.

Upvotes: 2

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