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---
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.