Practical NLP for Risk Modeling, Part II - Fine-tuning DistilBERT End-to-End on Tornado Narratives

The notebook version of this post can be downloaded here . In Part I of the Practical NLP for Risk Modeling series, we walked through how to use a pre-trained transformer model as a frozen feature extractor for classifying tornado severity based on NOAA event narratives. Each narrative was embedded into a 768-dimensional vector, then trained using a regularized Logistic Regression head. That…