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Xlm Roberta Base Finetuned Panx It
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Xlm Roberta Base Finetuned Panx It

Developed by flood
A token classification model fine-tuned on the xtreme dataset based on XLM-RoBERTa-base, specifically designed for Italian named entity recognition tasks.
Sequence Labeling
Transformers
Open Source License:MIT#Multilingual Tag Classification#Italian Entity Recognition#High F1 Score
Downloads 16
Release Time : 6/9/2022

Model Overview

This model is a token classification model based on the XLM-RoBERTa-base architecture, fine-tuned on the PAN-X Italian dataset, primarily used for named entity recognition (NER) tasks.

Model Features

Multilingual Support
Based on the XLM-RoBERTa architecture, it has strong cross-language understanding capabilities
High-Precision NER
Achieves an F1 score of 0.8086 on the PAN-X Italian dataset
Transfer Learning
Pre-trained on large-scale multilingual corpora and then fine-tuned for specific tasks

Model Capabilities

Italian text processing
Named entity recognition
Token classification

Use Cases

Natural Language Processing
Italian Text Entity Extraction
Identify entities such as person names, place names, and organization names from Italian text
F1 score reaches 0.8086
Multilingual Information Extraction System
Serves as the Italian processing component in a multilingual information extraction system
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