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Training Data with supervised_embeddings is slow, How can i improve training
post by rohitiec on Jun 6, 2019
i am training my RASA NLU with supervised_embeddings, the speed is very slow, How can i improve training speed?
post by erohmensing on Jun 12, 2019
How slow is it, and how much NLU training data do you have?
post by rohitiec on Jun 12, 2019
i have almost 25 intents without any entities or any slots , utterances would be around 15000. it’s taking around 7-8 minutes for the same.Rasa version is 0.15
post by Remy on Jun 12, 2019
With 15000 utterances and 25 intents, 7 minutes is not that slow. You can improve the training time by tweaking the hyperparameters of supervised_embeddings, but your model will probably be less accurate as a result.
post by rohitiec on Jun 12, 2019
Thanks @Remy, can i do any incremental training. Because even after adding one intent or only few utterances , i am forced to re-train it for all
post by Remy on Jun 12, 2019
Not that I know of. You have to remember that if you add some utterances the model needs to relate those words to the other sentences it knows. It can’t do that without retraining everything because it has to adjust the word vectors for the -already trained- intents.