
	
		
	
	
		Model
	


This model is a fine-tuned version of microsoft/layoutlmv3-base trained on Financial Documents Clustering Kaggle Dataset.

It classifies document images into one of the following (5) classes:


Income Statements
Balance Sheets
Cash Flows
Notes
Others



	
		
	
	
		Training
	


This model uses OCR data from EasyOCR instead of the default Tesseract OCR engine.


	
		
	
	
		Libraries
	



transformers 4.25.1
pytorch-lightning 1.8.6
torchmetrics 0.11.0
easyocr 1.6.2




The layoutlmv3-financial-document-classification model is a fine-tuned version of Microsoft's layoutlmv3-base model. It has been trained on a dataset of financial documents from the Kaggle dataset "Financial Documents Clustering." The model is capable of classifying document images into one of five classes: Income Statements, Balance Sheets, Cash Flows, Notes, and Others. It uses OCR data from the EasyOCR library instead of the default Tesseract OCR engine. The model relies on various libraries such as transformers, pytorch-lightning, torchmetrics, and easyocr.

Platform did not provide a description for this model.

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