Fine-Tuning GPT-Neo for Text Classification

Dive into this detailed tutorial where we demonstrate the process of fine-tuning both the 125 million and 2.7 billion parameter versions of the GPT-Neo model for text classification. Using a large dataset of student questions, the tutorial provides step-by-step instructions on preparing the dataset, setting up the model, and evaluating it. Discover the effectiveness of these AI models in dealing with real-world text classification tasks and understand the potential implications of overfitting. Perfect for anyone interested in machine learning and AI model optimization.

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#MachineLearning #NLP #TextClassification #CohereModel #TransferLearning #Tutorial