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  ## Description
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- This repository contains a machine learning model trained on a song lyrics dataset to predict the genre of a given song based on its lyrics. The model is capable of making predictions in three different genres: Pop, Rock, and Hip-Hop.
 
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  ## Dataset
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- The model was trained on a diverse and labeled dataset of song lyrics. The dataset consists of songs from various artists and genres, carefully curated to provide a comprehensive representation of Pop, Rock, and Hip-Hop music.
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  [DATASET](https://huggingface.co/datasets/Veucci/lyrics_3genre)
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  ## License
 
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  ## Description
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+ The model was trained using the BERT language model on a 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.
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+ For training and test codes check out [Github page](https://github.com/Veucci/lyrics-to-genre-lite).
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  ## Dataset
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+ 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.
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  [DATASET](https://huggingface.co/datasets/Veucci/lyrics_3genre)
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  ## License