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# oBERT-12-downstream-pruned-block4-80-QAT-squadv1 |
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This model is obtained with [The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models](https://arxiv.org/abs/2203.07259). |
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It corresponds to the model presented in the `Table 3 - 12 Layers - Sparsity 80% - 4-block + QAT`. |
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``` |
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Pruning method: oBERT downstream block-4 + QAT |
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Paper: https://arxiv.org/abs/2203.07259 |
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Dataset: SQuADv1 |
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Sparsity: 80% |
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Number of layers: 12 |
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``` |
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The dev-set performance of this model: |
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``` |
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EM = 80.58 |
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F1 = 87.89 |
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``` |
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Code: _coming soon_ |
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## BibTeX entry and citation info |
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```bibtex |
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@article{kurtic2022optimal, |
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title={The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models}, |
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author={Kurtic, Eldar and Campos, Daniel and Nguyen, Tuan and Frantar, Elias and Kurtz, Mark and Fineran, Benjamin and Goin, Michael and Alistarh, Dan}, |
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journal={arXiv preprint arXiv:2203.07259}, |
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year={2022} |
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} |
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``` |