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Xlm Roberta Base Finetuned Panx De
基于XLM-RoBERTa-base模型在xtreme数据集上微调的德语标记分类模型
Downloads 16
Release Time : 6/15/2022
Model Overview
该模型是针对德语文本的标记分类任务进行优化的模型，基于XLM-RoBERTa-base架构，在PAN-X.de数据集上微调得到。
Model Features
多语言支持
基于XLM-RoBERTa架构，具有处理多语言文本的能力
高性能标记分类
在PAN-X.de数据集上达到0.8621的F1分数
迁移学习优化
通过微调预训练模型获得针对特定任务的优化性能
Model Capabilities
德语文本标记分类
命名实体识别
序列标注
Use Cases
自然语言处理
德语命名实体识别
识别德语文本中的人名、地名、组织名等实体
F1分数0.8621
文本信息提取
从德语文本中提取结构化信息
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