config.yml

# The config recipe.
# https://rasa.com/docs/rasa/model-configuration/
recipe: default.v1

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

pipeline:
  - name: WhitespaceTokenizer
  - name: "components.albert.AlbertFeaturizer"
    alias: "bert-embdds"
  - name: CountVectorsFeaturizer
    alias: one-hot
  - name: CountVectorsFeaturizer
    alias: bov
    analyzer: char_wb
    min_ngram: 1
    max_ngram: 5
  - name: DIETClassifier
    batch_strategy: sequence
    epochs: 25
    number_of_transformer_layers: 2
    drop_rate: 0.3
    random_seed: 1


# 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: 100
#   - name: TEDPolicy
#     max_history: 5
#     epochs: 100
#     constrain_similarities: true