 bert-base-uncased model fine-tuned on QQP  This model was created using the [nn_pruning](https://github.com/huggingface/nn_pruning) python library: the linear layers contains **36%** of the original  weights.   The model contains **50%** of the original weights **overall** (the embeddings account for a significant part of the model, and they are not pruned by this method).   <div class="graph"><script src="/echarlaix/bert-base-uncased-qqp-f87.8-d36-hybrid/raw/main/model_card/density_info.js" id="70162e64-2a82-4147-ac7a-864cfe18a013"></script></div>   