Update README.md

README.md

@@ -3,6 +3,7 @@ language: en
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 # 90% Sparse BERT-Large (uncased) Fine Tuned on SQuADv1.1
 This model is a result of fine-tuning a Prune OFA 90% sparse pre-trained BERT-Large combined with knowledge distillation.
-This model yields the following results on SQuADv1.1 development set:
+This model yields the following results on SQuADv1.1 development set:<br>
+`{"exact_match": 83.56669820245979, "f1": 90.20829352733487}`
 
-`{"exact_match": 83.56669820245979, "f1": 90.20829352733487}`
+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).