mrm8488/bert-multi-cased-finedtuned-xquad-tydiqa-goldp

This model uses bert-multi-cased-finetuned-xquadv1 and fine-tuned on Tydi QA dataset for Gold Passage task (GoldP) This repository provides evaluation code and a baseline system for the dataset . It contains 200k human-annotated question-answer pairs in 11 Typologically Diverse languages, written without seeing the answer and without the use of translation . Unanswerable questions have been discarded . Thai and Japanese are removed since the lack of whitespace breaks some tools . The script is the following:python run_squad.py . The model was fine-tuneed on a Tesla P100 GPU and 25GB of,