Update README.md

README.md

@@ -48,7 +48,7 @@ For more code examples, refer to the [GitHub Repo](https://github.com/IntelLabs/
 ### Metrics (Model Performance):
 | Model                         | Model Size | SQuADv1.1 (EM/F1) | MNLI-m (Acc) | MNLI-mm (Acc) | QQP (Acc/F1) | QNLI (Acc) | SST-2 (Acc) |
 |-------------------------------|:----------:|:-----------------:|:------------:|:-------------:|:------------:|:----------:|:-----------:|
-| [80% Sparse BERT-Base uncased](https://huggingface.co/Intel/bert-base-uncased-squadv1.1-sparse-80-1x4-block-pruneofa)  |   -   |    81.29/88.47    |     -    |     -     | - |    -   |    -    |
+| [80% Sparse BERT-Base uncased fine-tuned on SQuAD1.1](https://huggingface.co/Intel/bert-base-uncased-squadv1.1-sparse-80-1x4-block-pruneofa)  |   -   |    81.29/88.47    |     -    |     -     | - |    -   |    -    |
 | [85% Sparse BERT-Base uncased](https://huggingface.co/Intel/bert-base-uncased-sparse-85-unstructured-pruneofa)  |   Medium   |    81.10/88.42    |     82.71    |     83.67     |  91.15/88.00 |    90.34   |    91.46    |
 | [**90% Sparse BERT-Base uncased**](https://huggingface.co/Intel/bert-base-uncased-sparse-90-unstructured-pruneofa)  |   Medium   |    79.83/87.25    |     81.45    |     82.43     |  90.93/87.72 |    89.07   |    90.88    |
 | [90% Sparse BERT-Large uncased](https://huggingface.co/Intel/bert-large-uncased-sparse-90-unstructured-pruneofa) |    Large   |    83.35/90.20    |     83.74    |     84.20     |  91.48/88.43 |    91.39   |    92.95    |