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README.md
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# t5-small-finetuned-NL2ModelioMQ
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on
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It achieves the following results on the evaluation set:
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- Loss: 0.0000
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- Rouge2 Precision: 0.9788
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## Model description
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More information needed
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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# t5-small-finetuned-NL2ModelioMQ
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the ModelioMQ dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0000
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- Rouge2 Precision: 0.9788
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## Model description
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## Intended uses & limitations
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This model will be used to assist [Modelio](https://www.modelio.org/) users in writing model queries in the ModelioMQ language.
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## Training and evaluation data
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The ModelioMQ dataset originates from 79 manually-written NL|ModelioMQ pairs, which have been augmentated using [NLPAug](https://github.com/makcedward/nlpaug)
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## Training procedure
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