Corpus ID: 211990050

jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models

@article{Pruksachatkun2020jiantAS,
  title={jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models},
  author={Yada Pruksachatkun and Phil Yeres and Haokun Liu and Jason Phang and Phu Mon Htut and Alex Wang and Ian Tenney and Samuel R. Bowman},
  journal={ArXiv},
  year={2020},
  volume={abs/2003.02249}
}
  • Yada Pruksachatkun, Phil Yeres, +5 authors Samuel R. Bowman
  • Published in ArXiv 2020
  • Computer Science
  • 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… CONTINUE READING

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