1.3 KiB
1.3 KiB
license, language, pipeline_tag, library_name, widget
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| mit |
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text-generation | transformers |
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gpt2-poetry-model-crpo
This model is based on the smallest gpt2 model (137 M parameters) fine-tuned on the Gutenberg Poetry Corpus (142 MB of text) for 3 epochs.
The model generates lines of poetry, in English, each of them starting with the <start> tag, which can be removed through post-processing.
This model was trained by Teo Ferrari as part of his Bachelor thesis at HEIG-VD, supervised by Andrei Popescu-Belis. The model is described in "GPoeT: a Language Model Trained for Rhyme Generation on Synthetic Data" and is used in the CR-PO system for interactive poem generation, along with several other models for specific topics or emotions.