metadata
language: en
license: apache-2.0
datasets: natural_questions
widget:
- text: Who added BigBird to HuggingFace Transformers?
context: >-
BigBird Pegasus just landed! Thanks to Vasudev Gupta, BigBird Pegasus from
Google AI is merged into HuggingFace Transformers. Check it out today!!!
This checkpoint is obtained after training FlaxBigBirdForQuestionAnswering (with extra pooler head) on natural_questions dataset on TPU v3-8. This dataset takes around ~100 GB on disk. But thanks to Cloud TPUs and Jax, each epoch took just 4.5 hours. Script for training can be found here: https://github.com/vasudevgupta7/bigbird
Use this model just like any other model from 🤗Transformers
from transformers import FlaxBigBirdForQuestionAnswering, BigBirdTokenizerFast
model_id = "vasudevgupta/flax-bigbird-natural-questions"
model = FlaxBigBirdForQuestionAnswering.from_pretrained(model_id)
tokenizer = BigBirdTokenizerFast.from_pretrained(model_id)
In case you are interested in predicting category (null, long, short, yes, no) as well, use FlaxBigBirdForNaturalQuestions (instead of FlaxBigBirdForQuestionAnswering) from my training script.
| Exact Match | 55.12 |
|---|
Evaluation script: https://colab.research.google.com/github/vasudevgupta7/bigbird/blob/main/notebooks/evaluate-flax-natural-questions.ipynb