Intention recognition error

rasa.core.processor - [debug ] processor.message.parse parse_data_entities= parse_data_intent={‘name’: ‘health_status’, ‘confidence’: 0.9846216440200806} parse_data_text=美国总统特朗普

config:

language: zh

#pipeline: null
pipeline:
- name: JiebaTokenizer
- name: CountVectorsFeaturizer
  token_pattern: "(?u)\\b\\w+\\b" # 中文分词的正则表达式
  min_ngram: 1
  max_ngram: 2
- name: CountVectorsFeaturizer
  analyzer: char_wb
  min_ngram: 1
  max_ngram: 3
- name: LexicalSyntacticFeaturizer
- name: LanguageModelFeaturizer
  model_name: "bert"
  model_weights: "bert-base-chinese"
- name: DIETClassifier
  epochs: 100
  learning_rate: 0.002
  number_of_transformer_layers: 2
  constrain_similarities: true
  intent_classification_threshold: 0.8
- name: FallbackClassifier

Please help take a look and see where the problem is.