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license: apache-2.0
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language:
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- en
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tags:
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- mbart-50
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license: apache-2.0
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datasets:
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- SLURP
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metrics:
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- accuracy
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- slu-f1
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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.
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The scores on the test set are 85.68% and 79.00% for Intent accuracy and SLU-F1 respectively.
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