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

Developed by huangjia
A token classification model fine-tuned on the xtreme dataset based on XLM-RoBERTa-base, supporting Italian text processing
Sequence Labeling
Transformers
Open Source License:MIT#Multilingual tagging classification#Italian entity recognition#XLM-RoBERTa fine-tuning
Downloads 37
Release Time : 7/9/2022

Model Overview

This model is a fine-tuned version of XLM-RoBERTa-base, specifically designed for token classification tasks, performing well on Italian text processing

Model Features

Multilingual support
Based on the XLM-RoBERTa architecture, capable of processing multilingual text
High-precision token classification
Achieves an F1 score of 0.7938 on Italian token classification tasks
Transfer learning optimization
Improved performance on specific tasks through fine-tuning of pre-trained models

Model Capabilities

Italian text token classification
Named entity recognition
Sequence labeling

Use Cases

Natural Language Processing
Italian text entity recognition
Identify entities such as person names, locations, and organization names in Italian text
F1 score reaches 0.7938
Text analysis preprocessing
Provides preprocessing support for subsequent text analysis tasks
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