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Distilbart Xsum 6 6
DistilBART 是 BART 模型的蒸馏版本，专注于文本摘要任务，在保持较高性能的同时显著减少模型大小和推理时间。
Downloads 147
Release Time : 3/2/2022
Model Overview
DistilBART 是基于 BART 架构的轻量级文本摘要模型，通过知识蒸馏技术压缩原始模型，适用于生成简洁准确的摘要。
Model Features
高效推理
相比原始 BART 模型，推理速度提升 2.54 倍
轻量级
参数量减少约 45%，从 406M 降至 222M
性能平衡
在模型大小和摘要质量(Rouge分数)之间取得良好平衡
Model Capabilities
文本摘要生成
长文本压缩
关键信息提取
Use Cases
新闻摘要
新闻文章摘要
将长篇新闻文章自动压缩为简洁摘要
在 CNN/DailyMail 数据集上 Rouge-L 达到 33.37
内容概括
文档摘要
为长文档生成执行摘要
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