论文标题
Jiant：用于研究通用文本理解模型的软件工具包
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models
论文作者
论文摘要
我们介绍了Jiant，这是一种用于对英语NLU任务进行多任务和转移学习实验的开源工具包。 Jiant可以使用最先进的模型进行模块化和配置驱动的实验，并实施一系列用于探测，转移学习和多任务训练实验的任务。 Jiant执行了超过50个NLU任务，包括所有胶水和超级粘液基准任务。我们证明了剑的复制在包括伯特和罗伯塔在内的各种任务和模型上发表的表演。 Jiant可从https://jiant.info获得。
We introduce jiant, an open source toolkit for conducting multitask and transfer learning experiments on English NLU tasks. jiant enables modular and configuration-driven experimentation with state-of-the-art models and implements a broad set of tasks for probing, transfer learning, and multitask training experiments. jiant implements over 50 NLU tasks, including all GLUE and SuperGLUE benchmark tasks. We demonstrate that jiant reproduces published performance on a variety of tasks and models, including BERT and RoBERTa. jiant is available at https://jiant.info.
