xlm-roberta-base-finetuned-panx-de-fr Open-source Cross-lingual Model - Free for German and French Named Entity Recognition

Xlm Roberta Base Finetuned Panx De Fr

Developed by edwardjross

A cross-lingual model fine-tuned on German and French datasets based on xlm-roberta-base, primarily used for named entity recognition tasks.

Downloads 14

Release Time : 3/22/2022

Model Overview

This model is a fine-tuned version of the XLM-RoBERTa base model on German and French datasets, focusing on Named Entity Recognition (NER) tasks.

Cross-lingual Capability

Supports named entity recognition tasks in German and French

High Performance

Achieved an F1 score of 0.8606 on the evaluation set

Based on XLM-RoBERTa

Utilizes the powerful multilingual pre-trained model as its foundation

Named Entity Recognition

Cross-lingual Processing

Text Analysis

Text Processing

Multilingual Document Analysis

Process documents containing German and French text to identify entities such as person names, locations, and organizations

Achieved an F1 score of 0.8606

Cross-lingual Information Extraction

Extract structured information from mixed-language texts

Property	Details
Model Type	xlm-roberta-base-finetuned-panx-de-fr
Metrics	f1
License	mit

Training Loss	Epoch	Step	Validation Loss	F1
0.2819	1.0	1073	0.1800	0.8231
0.1484	2.0	2146	0.1655	0.8488
0.0928	3.0	3219	0.1686	0.8606

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