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Helsinki-NLP/fin-simple-mBART
fin-simple-mBART is a machine learning model from Helsinki-NLP. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for fairseq.
This is a finetuned mBART model (https://github.com/facebookresearch/fairseq/tree/main/examples/mbart) suitable for Finnish sentence simplification. The checkpoint is a fairseq checkpoint. PID on Kielipankki: http://u…
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Updated Jun 5, 2024
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From the Hugging Face model README
This is a finetuned mBART model (https://github.com/facebookresearch/fairseq/tree/main/examples/mbart) suitable for Finnish sentence simplification. The checkpoint is a fairseq checkpoint. PID on Kielipankki: http://urn.fi/urn:nbn:fi:lb-2024011801.
Paper: Towards Automatic Finnish Text Simplification (Dmitrieva & Tiedemann, DeTermIt-WS 2024).
The finetuning data can be obtained here: http://urn.fi/urn:nbn:fi:lb-2024011703. If you wish to replicate the results, you can find the training, validation, and testing sentence pairs' ids in the "splits.zip" archive in this repository. The ids contain the following information: "{regular text id}__{simple text id}__{sentence pair number}".