This checkpoint is obtained after training BigBirdForQuestionAnswering (with extra pooler head) on natural_questions dataset for ~ 2 weeks on 2 K80 GPUs. Script for training can be found here: https://github.com/vasudevgupta7/bigbird
| Exact Match | 47.44 |
|---|
Use this model just like any other model from 🤗Transformers
from transformers import BigBirdForQuestionAnswering
model_id = "vasudevgupta/bigbird-roberta-natural-questions"
model = BigBirdForQuestionAnswering.from_pretrained(model_id)
tokenizer = BigBirdTokenizer.from_pretrained(model_id)
In case you are interested in predicting category (null, long, short, yes, no) as well, use BigBirdForNaturalQuestions (instead of BigBirdForQuestionAnswering) from my training script.