Model release
Browse files- .gitattributes +1 -0
- README.md +19 -0
- config.json +3 -0
- eval_results.txt +3 -0
- nbest_predictions.json +3 -0
- predictions.json +3 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +3 -0
- tokenizer_config.json +3 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitattributes
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README.md
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# SQuADv1 teacher
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This model is used as a teacher for all runs on the SQuADv1 downstream task in the paper [The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models](https://arxiv.org/abs/2203.07259).
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SQuADv1 dev-set:
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```
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EM = 81.41
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F1 = 88.54
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```
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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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```
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config.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:d0aacd3b9ed44492beac7618749e57dcd2fc1e85fda8af5e057ea743e02654c1
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size 614
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eval_results.txt
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exact_match = 81.41911069063387
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f1 = 88.54674760214829
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epoch = 2.0
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nbest_predictions.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:066ea1f2012068b961df0a423b719997eaa5ad0da71dccbf732948ebd92e6eb0
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size 49303494
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predictions.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:0c38766d63e5f2293dce48ee1bf88cd12bccff8b8670a41843ebec754543eb0d
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size 590973
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:89c5d7df9a80a21f0f0abfd85eb709e58119a5361ba55acb2aba79bb5f994351
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size 435661303
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special_tokens_map.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3
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size 112
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tokenizer_config.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:a863c20bb9664ba983f10e20d34c790e0eea92f165fc4716c4bad62f6bdc70b4
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size 285
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b7a0aa306d2ef8342d1192303db841d88b14d29e3c33dfc2185d0d645528d6fc
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size 2415
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vocab.txt
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