Hi everyone, I am new to rasa and I am encountering a problem when using spacy models to train rasa nlu. Let me explain. I am able to use the “supervised_embeddings” configuration: my config.yml file is language: “it” pipeline: “supervised_embeddings” and I am able to train rasa nlu using the command $rasa train nlu --out rasa_dir/model/ --nlu rasa_dir/data/ But I am not able to do the same thing using the pretrained_embedding_spacy configuration! I installed spacy and the italian embedding through the commands $pip install rasa[spacy] $python -m spacy download it_core_news_sm $python -m spacy link it_core_news_sm it then I changed my config.yml file to: language: “it” pipeline: “pretrained_embeddings_spacy” but when I rerun the command $rasa train nlu --out rasa_dir/model/ --nlu rasa_dir/data/ I get stuck with this log 2019-06-12 12:41:47 INFO rasa.nlu.model - Starting to train component SpacyNLP 2019-06-12 12:42:16 INFO rasa.nlu.model - Finished training component. 2019-06-12 12:42:16 INFO rasa.nlu.model - Starting to train component SpacyTokenizer 2019-06-12 12:42:16 INFO rasa.nlu.model - Finished training component. 2019-06-12 12:42:16 INFO rasa.nlu.model - Starting to train component SpacyFeaturizer 2019-06-12 12:42:16 INFO rasa.nlu.model - Finished training component. 2019-06-12 12:42:16 INFO rasa.nlu.model - Starting to train component RegexFeaturizer 2019-06-12 12:42:16 INFO rasa.nlu.model - Finished training component. 2019-06-12 12:42:16 INFO rasa.nlu.model - Starting to train component CRFEntityExtractor 2019-06-12 12:45:12 INFO rasa.nlu.model - Finished training component. 2019-06-12 12:45:12 INFO rasa.nlu.model - Starting to train component EntitySynonymMapper 2019-06-12 12:45:12 INFO rasa.nlu.model - Finished training component. 2019-06-12 12:45:12 INFO rasa.nlu.model - Starting to train component SklearnIntentClassifier Fitting 5 folds for each of 6 candidates, totalling 30 fits [Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers. and no model is produced. The same thing happens when I try to use the en_core_web_md model, i.e. I run the commands python -m spacy download en_core_web_md python -m spacy link en_core_web_md en and change config.yml to language: “en” pipeline: “pretrained_embeddings_spacy” Do you have any ideas on what am I doing wrong? Thank you

Hi @fwole welcome to the forum! Could you tell me how many training examples you have? Sometimes training the sklearn classifier takes a little longer

Hi, I’m experiencing exactly the same problem. It’s definitely not the number of training examples. I left this running over night on both Ubuntu 18.04 and Windows 10 and nothing happened. I also tried en_core_web_sm as well as en_core_web_md. Still, the same problem. Doest anyone know a solution to this issue? > spacy==2.2.1 > rasa==1.4.3 > rasa-nlu==0.14.3 > rasa-sdk==1.4.0 > rasa-x==0.20.0 > scikit-learn==0.20.4 > sklearn-crfsuite==0.3.6 > tensor2tensor==1.14.1 > tensorboard==1.14.0 > tensorflow==1.14.0 > tensorflow-datasets==1.3.0 > tensorflow-estimator==1.14.0 > tensorflow-gan==2.0.0 > tensorflow-hub==0.7.0 > tensorflow-metadata==0.15.0 > tensorflow-probability==0.7.0

Can not train rasa nlu with spacy models

Getting Started with Rasa

Meet (MJ) September 15, 2020, 3:03pm 4

Hello @fwole try downloading the spacy model outside your visual environment and then train… Should work

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Can not train rasa nlu with spacy models

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