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.
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.