# oBERT-12-downstream-pruned-block4-90-squadv1

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).


It corresponds to the model presented in the `Table 3 - 12 Layers - Sparsity 90% - 4-block`.

```
Pruning method: oBERT downstream block-4
Paper: https://arxiv.org/abs/2203.07259
Dataset: SQuADv1
Sparsity: 90%
Number of layers: 12
```

The dev-set performance of this model:
```
EM = 80.14
F1 = 87.57
```

Code: [https://github.com/neuralmagic/sparseml/tree/main/research/optimal_BERT_surgeon_oBERT](https://github.com/neuralmagic/sparseml/tree/main/research/optimal_BERT_surgeon_oBERT)

If you find the model useful, please consider citing our work.

## Citation info
```bibtex
@article{kurtic2022optimal,
  title={The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models},
  author={Kurtic, Eldar and Campos, Daniel and Nguyen, Tuan and Frantar, Elias and Kurtz, Mark and Fineran, Benjamin and Goin, Michael and Alistarh, Dan},
  journal={arXiv preprint arXiv:2203.07259},
  year={2022}
}
```
{"language": "en", "tags": ["bert", "oBERT", "sparsity", "pruning", "compression"], "datasets": "squad"}
transformers pytorch bert oBERT sparsity pruning compression en dataset:squad arxiv:2203.07259 endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #oBERT #sparsity #pruning #compression #en #dataset-squad #arxiv-2203.07259 #endpoints_compatible #region-us 

# oBERT-12-downstream-pruned-block4-90-squadv1

This model is obtained with The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models.


It corresponds to the model presented in the 'Table 3 - 12 Layers - Sparsity 90% - 4-block'.



The dev-set performance of this model:


Code: URL

If you find the model useful, please consider citing our work.

info

# oBERT-12-downstream-pruned-block4-90-squadv1

This model is obtained with The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models.


It corresponds to the model presented in the 'Table 3 - 12 Layers - Sparsity 90% - 4-block'.



The dev-set performance of this model:


Code: URL

If you find the model useful, please consider citing our work.

info
TAGS
#transformers #pytorch #bert #oBERT #sparsity #pruning #compression #en #dataset-squad #arxiv-2203.07259 #endpoints_compatible #region-us 
 # oBERT-12-downstream-pruned-block4-90-squadv1

This model is obtained with The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models.


It corresponds to the model presented in the 'Table 3 - 12 Layers - Sparsity 90% - 4-block'.



The dev-set performance of this model:


Code: URL

If you find the model useful, please consider citing our work.

info
passage: TAGS
#transformers #pytorch #bert #oBERT #sparsity #pruning #compression #en #dataset-squad #arxiv-2203.07259 #endpoints_compatible #region-us 
# oBERT-12-downstream-pruned-block4-90-squadv1

This model is obtained with The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models.


It corresponds to the model presented in the 'Table 3 - 12 Layers - Sparsity 90% - 4-block'.



The dev-set performance of this model:


Code: URL

If you find the model useful, please consider citing our work.

info