This project was completed as a part of the Honors portion of the Sequence Models Course on Coursera.
Credit to DeepLearning.AI and the Coursera platform for providing the course materials and guidance.
In this assignment, my objective is to delve into another application of the transformer architecture that I have built.
Upon completing this task, I will gain the ability to perform extractive Question Answering (QA) using the transformer model. I aim to fine-tune a pre-trained transformer model to a custom dataset, allowing me to optimize its performance for specific QA tasks. To achieve this, I will implement a QA model in both TensorFlow and PyTorch, enhancing my proficiency in working with these deep learning frameworks for natural language processing tasks.
