metadata
language: en
Sparse BERT base model (uncased)
Pretrained model pruned to 1:2 structured sparsity. The model is a pruned version of the BERT base model.
Intended Use
The model can be used for fine-tuning to downstream tasks with sparsity already embeded to the model. To keep the sparsity a mask should be added to each sparse weight blocking the optimizer from updating the zeros.
Evaluation Results
| Task | MNLI-m (Acc) | MNLI-mm (Acc) | QQP (Acc/F1) | QNLI (Acc) | SST-2 (Acc) | STS-B (Pears/Spear) | SQuADv1.1 (Acc/F1) |
|---|---|---|---|---|---|---|---|
| 83.3 | 83.9 | 90.8/87.6 | 90.4 | 91.3 | 88.8/88.3 | 80.5/88.2 |