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Filing Classification Xlmr

Developed by FinancialReports
A financial document classification model fine-tuned based on XLM-RoBERTa-Large, supporting classification tasks for 37 document types.
Downloads 40
Release Time : 4/5/2025

Model Overview

This model is specifically designed for multi-label text classification of financial documents, capable of classifying input text (in Markdown format) into one of 37 predefined document types, such as annual reports, quarterly reports, etc.

Model Features

Multilingual Support
Based on the XLM-RoBERTa-Large architecture, it can process financial documents in multiple languages.
High Accuracy
Achieves 96.2% accuracy on common document types, suitable for mainstream financial document classification needs.
Markdown Format Optimization
Specifically optimized for financial documents in Markdown format to ensure optimal classification performance.

Model Capabilities

Financial Document Classification
Multilingual Text Processing
Markdown Format Parsing

Use Cases

Financial Analysis
Automatic Document Archiving
Automatically classify company financial documents into 37 predefined categories to improve archiving efficiency.
Accuracy up to 96.2% (common categories)
Compliance Check
Help compliance teams quickly identify and classify various financial reports to ensure regulatory compliance.
Data Management
Dataset Construction
Automatically classify and label large volumes of financial documents for financial data analysis projects.
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