Today I tried to do the training on my local machine, I used the following command for the same
docker run -v $(pwd):/app rasa/rasa:2.6.1-full train --augmentation 0
The training process exited prematurely, tried many times, have used the same system to train the model just a few weeks before when I was using 2.3.0.
My system configuration is following
This was happening with a 2GB swap, which was the default in the system. When I increased this to 8 GB I was able to train the model, but then it failed due to a validation issue which I have raised here.
Any suggestion why this is happening after the upgrade or is this the expected behavior now?
If this is expected then we will have to update our CI pipeline which is using Git-Action free service(I think they provide 1CPU, 3.5 GB ram, not too sure though), please let me know either way.