Model release
Browse files- README.md +39 -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
README.md
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# oBERT-12-downstream-pruned-unstructured-80-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 1 - 30 Epochs - oBERT - SQuADv1 80%`.
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```
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Pruning method: oBERT downstream unstructured
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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 reported in the paper is averaged over three seeds, and we release the best model (marked with `(*)`):
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```
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| oBERT 80% | F1 | EM |
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| ------------ | ----- | ----- |
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| seed=42 | 88.95 | 82.08 |
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| seed=3407 (*)| 89.16 | 82.05 |
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| seed=54321 | 89.01 | 82.12 |
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| ------------ | ----- | ----- |
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| mean | 89.04 | 82.08 |
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| stdev | 0.108 | 0.035 |
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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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```
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config.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:c8486603b13aa568cb30a3f12f76029a3365344a234ace7353010ea02ea15338
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size 659
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eval_results.txt
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exact_match = 82.05298013245033
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f1 = 89.15639642737877
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epoch = 30.0
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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:cf49852f4a2242719a4185b54fa5b4ed2dbe1d29df28b503f769e719edfc6c25
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size 45958883
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predictions.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:ff5739b8ccf208e2fd3afb0a67fda2b830a552246612e550f34cc20366350b4e
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size 590409
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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:f339a6ee278b757c0d5faa448b400956e64dea7784667d9e86df871318c5f9d8
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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 sha256:9e182a9a298c4c0863b3c4e03437580f056d30844dff7b92409ca8ca9a7bb85f
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size 2415
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vocab.txt
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