I have the following policy configured:
- name: EmbeddingPolicy
epochs: 1000
attn_shift_range: 3
featurizer:
- name: FullDialogueTrackerFeaturizer
state_featurizer:
- name: LabelTokenizerSingleStateFeaturizer
If I train using Rasa-X I get the following error:
rasax.community.api.blueprints.models - 500, Internal Server Error, body='b'{"version":"1.6.2","status":"failure","message":"An unexpected error occurred during training. Error: Found two unpredictable actions in one story.Check your story files.","reason":"TrainingError","details":{},"help":null,"code":500}''
But if I train in the CLI using rasa train --augmentation 0
everything works fine.
Is there a way to have Rasa-X use the augmentation
option when training?