rasa version: 1.10.14
Hi @Tanja @akelad.
Using the OOV
token of the CountVectorsFeaturizer
is not compatible with ConveRT
?
I am getting these warnings with ConveRT
and not with Spacy
2020-09-26 16:27:04 INFO rasa.nlu.model - Finished training component.
2020-09-26 16:27:04 INFO rasa.nlu.model - Starting to train component RegexFeaturizer
2020-09-26 16:27:04 INFO rasa.nlu.model - Finished training component.
2020-09-26 16:27:04 INFO rasa.nlu.model - Starting to train component LexicalSyntacticFeaturizer
2020-09-26 16:27:05 INFO rasa.nlu.model - Finished training component.
2020-09-26 16:27:05 INFO rasa.nlu.model - Starting to train component CountVectorsFeaturizer
/home/akhil/office/chatbot/dev/venv/lib/python3.6/site-packages/rasa/utils/common.py:363: UserWarning: The out of vocabulary token 'oov' was configured, but could not be found in any one of the NLU training examples. All unseen words will be ignored during prediction.
More info at https://rasa.com/docs/rasa/nlu/components/#countvectorsfeaturizer
/home/akhil/office/chatbot/dev/venv/lib/python3.6/site-packages/rasa/utils/common.py:363: UserWarning: The out of vocabulary token 'oov' was configured, but could not be found in any one of the ResponseSelector training examples. All unseen words will be ignored during prediction.
More info at https://rasa.com/docs/rasa/nlu/components/#countvectorsfeaturizer
2020-09-26 16:27:07 INFO rasa.nlu.model - Finished training component.
2020-09-26 16:27:07 INFO rasa.nlu.model - Starting to train component CountVectorsFeaturizer
2020-09-26 16:27:10 INFO rasa.nlu.model - Finished training component.
2020-09-26 16:27:10 INFO rasa.nlu.model - Starting to train component DIETClassifier
/home/akhil/office/chatbot/dev/venv/lib/python3.6/site-packages/rasa/nlu/classifiers/diet_classifier.py:589: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
X_dense = np.array(X_dense)
2020-09-26 16:27:10 DEBUG rasa.utils.tensorflow.models - Building tensorflow train graph...