| 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. |