
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.
{"language": ["en"], "license": "apache-2.0", "tags": ["mbart-50"], "datasets": ["SLURP"], "metrics": ["accuracy", "slu-f1"]}
transformers pytorch mbart text2text-generation mbart-50 en dataset:SLURP license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #mbart #text2text-generation #mbart-50 #en #dataset-SLURP #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


This model is 'mbart-large-50-many-to-many-mmt' model fine-tuned on the text part of SLURP spoken language understanding dataset.

The scores on the test set are 85.68% and 79.00% for Intent accuracy and SLU-F1 respectively.
TAGS
#transformers #pytorch #mbart #text2text-generation #mbart-50 #en #dataset-SLURP #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #mbart #text2text-generation #mbart-50 #en #dataset-SLURP #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
