xlm-roberta-base-finetuned-panx-all Open Source Model - Free Deployment of Multilingual Named Entity Recognition

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Xlm Roberta Base Finetuned Panx All

Developed by flood

Named entity recognition model fine-tuned on multilingual datasets based on xlm-roberta-base

Large Language Model

Transformers

Open Source License:MIT #Multilingual NER #High-precision entity recognition #Cross-lingual transfer

Downloads 15

Release Time : 6/9/2022

Model Overview

This model is a fine-tuned version of xlm-roberta-base, primarily used for named entity recognition tasks with multilingual processing support.

Model Features

Multilingual Support

Built on XLM-RoBERTa architecture, capable of processing multilingual text

High-precision Recognition

Achieves an F1 score of 0.8525 on evaluation sets, demonstrating excellent performance

Transfer Learning Capability

Adapts to specific named entity recognition tasks through fine-tuning on large-scale pre-trained models

Model Capabilities

Text entity recognition

Multilingual text processing

Sequence labeling

Use Cases

Natural Language Processing

Multilingual Document Entity Extraction

Identify and extract entities such as person names, locations, and organization names from multilingual documents

F1 score reaches 0.8525

Cross-lingual Information Extraction

Supports entity recognition in texts of different languages, facilitating cross-lingual information processing

Training Loss	Epoch	Step	Validation Loss	F1
0.3	1.0	835	0.1894	0.8104
0.1564	2.0	1670	0.1751	0.8423
0.1032	3.0	2505	0.1739	0.8525

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Xlm Roberta Base Finetuned Panx All

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