# Layout Analysis

A fine-tuned version of the microsoft/layoutlmv3-base model for document image classification tasks, achieving an F1 score of 0.8177 on the evaluation set

A document understanding model fine-tuned on the FUNSD dataset based on the LayoutLMv3-base model, excelling in token classification tasks for forms and documents

A fine-tuned version of the microsoft/layoutlmv2-base-uncased model on an unknown dataset, suitable for document understanding tasks

DiT is a Transformer-based document image classification model, pretrained on the IIT-CDIP dataset and fine-tuned on the RVL-CDIP dataset

A document understanding model fine-tuned on the FUNSD dataset based on Microsoft's LayoutLMv2