readme: ---
  language:
    - zh
  tags:
    - mbart-50
  license: apache-2.0
  datasets:
    - CATSLU
  metrics:
    - accuracy
    - f1
  ---
  
  This model is `mbart-large-50-many-to-many-mmt` model fine-tuned on the text part of [CATSLU](https://sites.google.com/view/CATSLU/home) spoken language understanding dataset.
  
  The average scores on the four test sets are 82.56% and 73.48% for accuracy and F1 respectively.
  