Supervised fine tuning (SFT) of Microsoft Phi2 for Text2SQL Task (Part II)

This article discusses the supervised fine-tuning of the Microsoft Phi2 model for the Text2SQL task. It covers data preparation, loading the dataset, preparing input, loading the pre-trained model, setting up a data collator, model training, model evaluation, and concludes with potential areas for improvement.