A comprehensive guide for beginners looking to start fine-tuning BERT models for sentiment analysis on Arabic text. This project walks through the complete process of data preprocessing, model training, and evaluation, providing a beginner-friendly tutorial on how to fine-tune and deploy machine learning models for real-world applications.

Final project for class Data Mining and Text Mining; University of Illinois at Chicago (Fall 2023); 1st year of Master's Degree in Computer Science coursework.

Question Answering with a Fine-Tuned BERT

Fine-tuning LLMs using conditional training to learn two human preferences. UCL Module Project: Statistical Natural Language Processing (COMP0087).