readme: ---
  language: 
    - en
  tags:
    - mbart-50
  license: apache-2.0
  datasets:
    - SLURP
  metrics:
    - accuracy
    - slu-f1
  ---
  
  This model is `mbart-large-50-many-to-many-mmt` model fine-tuned on the text part of [SLURP](https://github.com/pswietojanski/slurp) spoken language understanding dataset.
  
  The scores on the test set are 85.68% and 79.00% for Intent accuracy and SLU-F1 respectively.