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Lyrics Genre Classification Model

Description

The model was trained using the BERT language model on my song lyrics dataset to predict the genre of a given song based on its lyrics. This repository houses the machine learning model, which is capable of making predictions in three distinct genres: Pop, Rock, and Hip-Hop. For training and test codes check out Github page.

Dataset

The model was trained on a diverse and labeled dataset of song lyrics, which contained approximately 3000 rows. The dataset was carefully curated to include songs from a wide range of artists and genres, ensuring a comprehensive representation of Pop, Rock, and Hip-Hop music. DATASET

Quick Start

from transformers import pipeline

classifier = pipeline("text-classification", model="Veucci/lyrics-to-genre")
result = classifier("When I'm away from you, I'm happier than ever Wish I could explain it better I wish it wasn't true")

print(result)

License

This dataset is released under the Creative Commons Attribution-NonCommercial license. This means that you are not allowed to use the dataset for commercial purposes. For detailed information about the license, please refer to the LICENSE file.

Contact

If you have any questions, suggestions, or concerns regarding this dataset, please feel free to reach out to email at [email protected]. I hope this model helps in your genre classification tasks and inspires further exploration of song lyrics analysis!

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Dataset used to train Veucci/lyric-to-genre

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