mrm8488/t5-base-finetuned-qasc

The model was presented in Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer by Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu . Google's T5 fine-tuned on QA (via sentence composition) downstream task . The training script is a slightly modified version of this awesome one by Suraj Patil . It consists of 9,980 8-way multiple-choice questions about grade school science (8,134 train, 926 dev, 920 test), and comes with a corpus of 17M sentences .,