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Distilbert Base Uncased Finetuned Rte
该模型是基于DistilBERT在GLUE数据集RTE任务上微调的文本分类模型，准确率为61.73%
Downloads 20
Release Time : 3/2/2022
Model Overview
一个轻量级的文本分类模型，专门用于识别文本蕴含关系（RTE任务）
Model Features
轻量高效
基于DistilBERT架构，比标准BERT体积小40%但保留97%的性能
特定任务优化
专门针对GLUE数据集中的RTE（文本蕴含识别）任务进行微调
Model Capabilities
文本分类
文本蕴含识别
自然语言推理
Use Cases
自然语言处理
文本蕴含判断
判断前提文本是否蕴含假设文本
在GLUE RTE任务上达到61.73%准确率
问答系统支持
辅助问答系统判断答案是否与问题相关
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