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license: mit
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---
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---
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license: mit
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language:
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- en
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pipeline_tag: fill-mask
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library_name: transformers
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widget:
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- text: "The boy was <mask>."
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example_title: "Example 1"
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- text: "The cat started to <mask>."
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example_title: "Example 2"
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- text: "The <mask> girl was eating."
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example_title: "Example 3"
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---
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# roberta-poetry-happiness-crpo
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This model is based on the [RoBERTa base model](https://huggingface.co/roberta-base) (125 M parameters)
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fine-tuned on a poetry corpus selected automatically to reflect happy emotions.
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The model replaces a masked word, indicated by the `<mask>` tag, with a word associated with **happiness**, while preserving fluency.
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This model was trained by [Teo Ferrari](https://www.linkedin.com/in/teo-ferrari-0a4009176/)
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as part of his Bachelor thesis at [HEIG-VD](https://gaps.heig-vd.ch/public/diplome/rapports.php?id=6763),
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supervised by [Andrei Popescu-Belis](http://iict-space.heig-vd.ch/apu/).
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The model is described in "[GPoeT: a Language Model Trained for Rhyme Generation on Synthetic Data](https://aclanthology.org/2023.latechclfl-1.2/)"
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and is used in the [CR-PO](https://github.com/heig-iict-ida/crpo) system for [interactive poem generation](https://aclanthology.org/2022.lrec-1.377),
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along with several other models for specific topics or emotions.
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