Transformer Visualization with BertViz

Learn about how layers of a transformer model are visualized with BertViz.

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Running BertViz
Code playground

Jesse Vig’s article, "A Multiscale Visualization of Attention in the Transformer ModelThe paper can be accessed at: https://aclanthology.org/P19-3007.pdf" (2019), recognizes the effectiveness of transformer models. However, Jesse Vig explains that deciphering the attention mechanism is challenging. The paper describes the process of BertViz, a visualization tool.

BertViz can visualize attention head activity and interpret a transformer model’s behavior.

BertViz was first designed to visualize BERT and GPT-3 models. In this lesson, we will visualize the activity of a BERT model.

Let’s now run BertViz.

Running BertViz

It only takes five steps to visualize transformer attention heads and interact with them.

Step 1: Importing BertViz and other modules

The notebook BertViz.ipynb imports bertViz, Hugging Face transformers, and the other basic requirements to implement the program:

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Course Introduction

Basics of Transformers

Architecture of the Transformer Model

Fine-Tuning BERT Models

Pretraining a RoBERTa Model from Scratch

Downstream NLP Tasks with Transformers

Machine Translation with the Transformer

The Rise of Transformers with GPT-3 Engines

Applying Transformers for AI Text Summarization

Matching Tokenizers and Datasets

Transformers for NLP—Exam 1

Semantic Role Labeling with BERT-Based Transformers

Your Data Speaks: Story, Questions, and Answers

Detecting Customer Emotions to Make Predictions

Analyzing Fake News with Transformers

Interpreting Black Box Transformer Models

From NLP to Task-Agnostic Transfomer Models

The Emergence of Transformer-Driven Copilots

Transformers for NLP—Exam 2

Conclusion

Appendix

Transformer Visualization with BertViz

Running BertViz

Step 1: Importing BertViz and other modules