Model release
Browse files- .gitattributes +1 -0
- README.md +19 -0
- config.json +3 -0
- eval_results.txt +2 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +3 -0
- vocab.txt +0 -0
.gitattributes
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README.md
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# QQP teacher
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This model is used as a teacher for all runs on the QQP 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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QQP dev-set:
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```
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accuracy = 91.06
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F1 = 88.00
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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 sha256:3bbd6775132523a2ff671bafb71253a09b8be583c925860845af0e6066b92329
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size 701
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eval_results.txt
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accuracy = 0.9106
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f1 = 0.88
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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:f02751de9294cc9091c964a49cbf01a0c50f9c50967e4c854b07539b2d7d3e5d
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size 438019245
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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.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:be50c3628f2bf5bb5e3a7f17b1f74611b2561a3a27eeab05e5aa30f411572037
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size 466247
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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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vocab.txt
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