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@@ -67,7 +67,7 @@ For more code examples, refer to the [GitHub Repo](https://github.com/IntelLabs/
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  ### Metrics (Model Performance):
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  | Model | Model Size | SQuADv1.1 (EM/F1) | MNLI-m (Acc) | MNLI-mm (Acc) | QQP (Acc/F1) | QNLI (Acc) | SST-2 (Acc) |
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  |-------------------------------|:----------:|:-----------------:|:------------:|:-------------:|:------------:|:----------:|:-----------:|
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- | [80% Sparse BERT-Base uncased](https://huggingface.co/Intel/bert-base-uncased-squadv1.1-sparse-80-1x4-block-pruneofa) | - | 81.29/88.47 | - | - | - | - | - |
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  | [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 |
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  | [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 |
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  | [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 |
 
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  ### Metrics (Model Performance):
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  | Model | Model Size | SQuADv1.1 (EM/F1) | MNLI-m (Acc) | MNLI-mm (Acc) | QQP (Acc/F1) | QNLI (Acc) | SST-2 (Acc) |
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  |-------------------------------|:----------:|:-----------------:|:------------:|:-------------:|:------------:|:----------:|:-----------:|
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+ | [**80% 1x4 Block Sparse BERT-Base uncased**](https://huggingface.co/Intel/bert-base-uncased-squadv1.1-sparse-80-1x4-block-pruneofa) | - | 81.29/88.47 | - | - | - | - | - |
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  | [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 |
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  | [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 |
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  | [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 |