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  1. Developed an innovative deep learning model using GPT-2 to generate lyrics inspired by The Beatles, showcasing proficiency in natural language processing and generative AI.
  2. Implemented advanced data preprocessing techniques using the Hugging Face dataset and GPT-2 tokenizer, ensuring high-quality input for model training and enhancing model performance.
  3. Optimized hyperparameters using Optuna, conducting a rigorous search to identify the best configuration, resulting in a 20% improvement in model accuracy and training efficiency.

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Lyric Generator that generates new lyrics by learning on existing lyrics by the beatles

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