Pino (Dutch BigBird) base model

Created by Dat Nguyen & Yeb Havinga during the Hugging Face community week

BigBird, is a sparse-attention based transformer which extends Transformer based models, such as BERT to much longer sequences. Moreover, BigBird comes along with a theoretical understanding of the capabilities of a complete transformer that the sparse model can handle.

It is a pretrained model on Dutch language using a masked language modeling (MLM) objective. It was introduced in this paper and first released in this repository.

Model description

BigBird relies on block sparse attention instead of normal attention (i.e. BERT's attention) and can handle sequences up to a length of 4096 at a much lower compute cost compared to BERT. It has achieved SOTA on various tasks involving very long sequences such as long documents summarization, question-answering with long contexts.

How to use

Here is how to use this model to get the features of a given text in PyTorch:

from transformers import BigBirdModel

# by default its in block_sparse mode with num_random_blocks=3, block_size=64
model = BigBirdModel.from_pretrained("flax-community/pino-bigbird-roberta-base")

# you can change attention_type to full attention like this:
model = BigBirdModel.from_pretrained("flax-community/pino-bigbird-roberta-base", attention_type="original_full")

# you can change block_size & num_random_blocks like this:
model = BigBirdModel.from_pretrained("flax-community/pino-bigbird-roberta-base", block_size=16, num_random_blocks=2)

Training Data

This model is pre-trained on four publicly available datasets: mC4, and scraped Dutch news from NRC en Nu.nl. It uses the the fast universal Byte-level BPE (BBPE) in contrast to the sentence piece tokenizer and vocabulary as RoBERTa (which is in turn borrowed from GPT2).

Training Procedure

The data is cleaned as follows: Remove texts containing HTML codes / javascript codes / loremipsum / policies Remove lines without end mark. Remove too short texts, words Remove too long texts, words Remove bad words

BibTeX entry and citation info

@misc{zaheer2021big,
title={Big Bird: Transformers for Longer Sequences},
author={Manzil Zaheer and Guru Guruganesh and Avinava Dubey and Joshua Ainslie and Chris Alberti and Santiago Ontanon and Philip Pham and Anirudh Ravula and Qifan Wang and Li Yang and Amr Ahmed},
year={2021},
eprint={2007.14062},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
New

Select AutoNLP in the “Train” menu to fine-tune this model automatically.