readme: ---
  language: en
  license: apache-2.0
  ---
  # 80% 1x4 Block Sparse BERT-Base (uncased) Fine Tuned on SQuADv1.1
  This model is a result of fine-tuning a Prune OFA 80% 1x4 block sparse pre-trained BERT-Base combined with knowledge distillation.
  This model yields the following results on SQuADv1.1 development set:<br>
  `{"exact_match": 81.2867, "f1": 88.4735}`
  
  For further details see our paper, [Prune Once for All: Sparse Pre-Trained Language Models](https://arxiv.org/abs/2111.05754), and our open source implementation available [here](https://github.com/IntelLabs/Model-Compression-Research-Package/tree/main/research/prune-once-for-all).
  