xlm-roberta-base-finetuned-panx-de-fr Open Source Model - Free to Use for Named Entity Recognition in German and French

Xlm Roberta Base Finetuned Panx De Fr

Developed by osanseviero

A fine-tuned version of the XLM-RoBERTa-base model on German and French datasets, primarily used for named entity recognition tasks.

Downloads 14

Release Time : 3/6/2022

Model Overview

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

Cross-lingual Support

Supports named entity recognition tasks in German and French.

High Performance

Achieved an F1 score of 0.8616 on the evaluation set, demonstrating excellent performance.

Based on XLM-RoBERTa

Fine-tuned on the powerful XLM-RoBERTa-base model, with strong cross-lingual understanding capabilities.

Named Entity Recognition

Cross-lingual Text Processing

Natural Language Processing

Multilingual Text Analysis

Can be used to analyze named entities in German and French texts, such as person names, locations, and organizations.

F1 score reaches 0.8616

Cross-lingual Information Extraction

Suitable for information extraction systems that need to process both German and French texts.

Training Loss	Epoch	Step	Validation Loss	F1
0.2815	1.0	1430	0.2079	0.8067
0.1521	2.0	2860	0.1759	0.8525
0.093	3.0	4290	0.1754	0.8616

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base