This project forked from simba2017/bert-mrc-race
some classic models implements in RACE dataset using Pytorch
当你老了，回顾一生，就会发觉：什么时候出国读书，什么时候决定做第一份职业、何时选定了对象而恋爱、什么时候结婚，其实都是命运的巨变。只是当时站在三岔路口，眼见风云千樯，你作出选择的那一日，在日记上，相当沉闷和平凡，当时还以为是生命中普通的一天。 -- 《杀鹌鹑的少女》
该仓库实现了一些阅读理解的经典模型，并将一些在 SQuAD 数据集上表现不错的模型适配到 RACE 数据集上。
RACE 排行榜: http://www.qizhexie.com//data/RACE_leaderboard
我认为 RACE 数据集能够更好的体现 NLP 阅读理解的极限。
| 模型 | loss | acc |
|---|---|---|
| GAReader | 1.30194 | 38.852 |
| 模型 | loss | acc |
|---|---|---|
| BertOrigin | 0.944 | 64.471 |
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