So I am working on training an NLP text generation model on a curated Hip Hop lyric dataset (Bbrown44/hiphop-ds-v4 · Hugging Face) and was wondering if anyone can provide some insight on the following questions.
- What techniques could I leverage to increase the text generation of the model?
- Is there a way that I can improve the model by rating the text generation on a Likert scale and using that results to improve text generation performance? Is there any research being done on that?
- Is there any research on NLP training for cultural cadence?
Thanks for your input in advance!
~Bryon