How to Fine-Tune a Transformer Architecture NLP Model -- Visual Studio Magazine

The goal is sentiment analysis -- accept the text of a movie review (such as, "This movie was a great waste of my time.") This article describes how to fine-tune a pretrained Transformer Architecture model for natural language processing. More specifically, this article explains how to fine-tune a condensed version of a pretrained BERT model to create binary classifier for a subset of the IMDB movie review dataset. The goal is sentiment analysis -- accept the text of a movie review (such as, "This movie was a great waste of my time.") You can think of a pretrained transformer architecture (TA) model as sort of an English language expert.