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Jdt Fin Roberta Wwm
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Jdt Fin Roberta Wwm
Developed by wangfan
Financial domain specialized pre-trained language model, optimized based on RoBERTa-wwm architecture to enhance performance in financial tasks
Downloads 19
Release Time : 3/2/2022
Model Overview
Pre-trained language model optimized for the financial domain, suitable for various financial text processing tasks such as named entity recognition and relation extraction
Model Features
Financial Domain Optimization
Specialized optimization for financial text characteristics to improve performance in financial tasks
Based on RoBERTa-wwm Architecture
Adopts RoBERTa-wwm architecture for stronger text comprehension capabilities
Multi-task Support
Supports various financial text processing tasks including named entity recognition and relation extraction
Model Capabilities
Named Entity Recognition
Relation Extraction
Event Extraction
Metric Extraction
Entity Linking
Use Cases
Financial Text Analysis
Financial Entity Recognition
Identify entities such as companies, individuals, and financial products in financial texts
F1 score reaches 93.88
Financial Relation Extraction
Extract relationships between entities from financial texts
F1 score reaches 79.02
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