NLP Transformer Project

Overview

This project was part of advanced coursework in Natural Language Processing, where I implemented a transformer-based NLP model from the ground up. The project involved building complete data pipelines, training models, and analyzing their behavior.

Implementation Details

• Data Preprocessing: Built comprehensive pipelines for text corpus preparation
• Model Training: Trained transformer models on prepared datasets
• Evaluation: Analyzed model performance and behavior
• Attention Mechanisms: Gained hands-on experience with modern NLP architectures

Technical Learnings

This project provided deep understanding of:

• Transformer architecture and attention mechanisms
• Modern NLP model training and evaluation
• Data preprocessing for NLP tasks
• Model behavior analysis and debugging

Results

Successfully trained and evaluated transformer models, gaining practical experience with state-of-the-art NLP techniques that are foundational to modern language models.