config.yml

# Configuration for Rasa NLU.
# https://rasa.com/docs/rasa/nlu/components/
language: pt

pipeline:
# # No configuration for the NLU pipeline was provided. The following default pipeline was used to train your model.
# # If you'd like to customize it, uncomment and adjust the pipeline.
# # See https://rasa.com/docs/rasa/tuning-your-model for more information.
  - name: WhitespaceTokenizer
  - name: RegexFeaturizer
  - name: LexicalSyntacticFeaturizer
  - name: CountVectorsFeaturizer
  - name: CountVectorsFeaturizer
    analyzer: char_wb
    min_ngram: 1
    max_ngram: 4
  - name: DIETClassifier
    epochs: 75
    evaluate_on_number_of_examples: 16
    evaluate_every_number_of_epochs: 5
    tensorboard_log_directory: "./tensorboard"
    tensorboard_log_level: "epoch"
    constrain_similarities: true
    loss_type : cross_entropy

  - name: EntitySynonymMapper
  - name: ResponseSelector
    epochs: 75
    constrain_similarities: true
  - name: FallbackClassifier
    threshold: 0.3
    ambiguity_threshold: 0.1
  - name: RegexEntityExtractor
    use_lookup_tables: true

# Configuration for Rasa Core.
# https://rasa.com/docs/rasa/core/policies/
policies:
# # No configuration for policies was provided. The following default policies were used to train your model.
# # If you'd like to customize them, uncomment and adjust the policies.
# # See https://rasa.com/docs/rasa/policies for more information.
  - name: MemoizationPolicy
  - name: RulePolicy
  - name: UnexpecTEDIntentPolicy
    max_history: 5
    epochs: 75
  - name: TEDPolicy
    transformer_size:
      text: 128
      action_text: 128
      label_action_text: 128
      dialogue: 128
    number_of_transformer_layers:
      text: 3
      action_text: 3
      label_action_text: 3
      dialogue: 3
    model_confidence: linear_norm 
    max_history: 5
    epochs: 75
    batch_size: 32
    evaluate_on_number_of_examples: 16
    evaluate_every_number_of_epochs: 5
    tensorboard_log_directory: "./tensorboard"
    tensorboard_log_level: "epoch"
    constrain_similarities: true
    loss_type : cross_entropy