Fine-tuning LayoutLM for document-understanding using Keras & Hugging Face Transformers

In this blog, you will learn how to fine-tune LayoutLM (v1) for document-understand using Hugging Face Transformers. LayoutLM is a document image understanding and information extraction transformers. LayoutLM (v1) is the only model in the LayoutLM family with an MIT-license, which allows it to be used for commercial purposes compared to other LayoutLMv2/LayoutLMv3.

We will use the FUNSD dataset a collection of 199 fully annotated forms. More information for the dataset can be found at the dataset page.

You will learn how to:

1. Setup Development Environment
2. Load and prepare FUNSD dataset
3. Fine-tune and evaluate LayoutLM

Before we can start, make sure you have a Hugging Face Account to save artifacts and experiments.