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Xlm Roberta Base Finetuned Panx De Fr
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Xlm Roberta Base Finetuned Panx De Fr

Developed by andreaschandra
A cross-lingual model fine-tuned on German and French datasets based on XLM-RoBERTa-base, primarily used for named entity recognition tasks.
Large Language Model
Transformers
Open Source License:MIT#Multilingual NER#XLM-RoBERTa fine-tuning#German-French processing
Downloads 15
Release Time : 7/12/2022

Model Overview

This model is a fine-tuned version of XLM-RoBERTa-base on German and French datasets, focusing on cross-lingual named entity recognition tasks.

Model Features

Cross-lingual capability
Supports named entity recognition tasks in German and French, with cross-lingual processing capabilities.
High performance
Achieved an F1 score of 0.8599 on the evaluation set, demonstrating excellent performance.
Based on XLM-RoBERTa
Fine-tuned on the powerful XLM-RoBERTa-base model, inheriting its outstanding language understanding capabilities.

Model Capabilities

German named entity recognition
French named entity recognition
Cross-lingual text processing

Use Cases

Natural Language Processing
Multilingual text analysis
Can be used to analyze texts containing German and French, identifying named entities within them.
F1 score reached 0.8599
Cross-lingual information extraction
Extracts entity information such as person names, locations, and organizations from multilingual documents.
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