metadata
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 spoken language understanding dataset.
The average scores on the four test sets are 82.56% and 73.48% for accuracy and F1 respectively.