A step-by-step guide to fine-tuning LayoutLM (v1) for document understanding using TensorFlow, Keras, and Hugging Face Transformers. Covers environment setup, loading and preprocessing the FUNSD dataset (199 annotated forms), training with callbacks for TensorBoard and Hugging Face Hub integration, and running inference. The fine-tuned model achieves an overall F1 score of 0.7534 using only 149 training examples, demonstrating the effectiveness of transfer learning for form and receipt understanding tasks.
Table of contents
Quick intro: LayoutLM by Microsoft Research1. Setup Development Environment2. Load and prepare FUNSD dataset3. Fine-tune and evaluate LayoutLM4. Run InferenceConclusion1 Impression