madlag
/

bert-base-uncased-squad1.1-block-sparse-0.13-v1

@@ -20,12 +20,13 @@ widget:
 ## BERT-base uncased model fine-tuned on SQuAD v1
 This model is [block-sparse](https://github.com/huggingface/pytorch_block_sparse): the linear layers contains 12.5% of the original weights.
 The model contains 32.1% of the original weights overall.
 The training use a modified version of Victor Sanh [Movement Pruning](https://arxiv.org/abs/2005.07683) method.
 That means that with the right runtime it can run faster than an dense networks, at the price of some impact on the accuracy (see below).
 This model was fine-tuned from the HuggingFace[BERT](https://www.aclweb.org/anthology/N19-1423/) base uncased checkpoint on [SQuAD1.1](https://rajpurkar.github.io/SQuAD-explorer), and distilled from the equivalent model [csarron/bert-base-uncased-squad-v1](https://huggingface.co/csarron/bert-base-uncased-squad-v1).
 This model is case-insensitive: it does not make a difference between english and English.
@@ -36,180 +37,7 @@ Here is a detailed view on how the remaining heads are distributed in the networ
 ![Pruning details](https://huggingface.co/madlag/bert-base-uncased-squad1.1-block-sparse-0.13-v1/raw/main/model_card/pruning.svg)
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 ## Details

 ## BERT-base uncased model fine-tuned on SQuAD v1
 This model is [block-sparse](https://github.com/huggingface/pytorch_block_sparse): the linear layers contains 12.5% of the original weights.
 The model contains 32.1% of the original weights overall.
 The training use a modified version of Victor Sanh [Movement Pruning](https://arxiv.org/abs/2005.07683) method.
 That means that with the right runtime it can run faster than an dense networks, at the price of some impact on the accuracy (see below).
 This model was fine-tuned from the HuggingFace[BERT](https://www.aclweb.org/anthology/N19-1423/) base uncased checkpoint on [SQuAD1.1](https://rajpurkar.github.io/SQuAD-explorer), and distilled from the equivalent model [csarron/bert-base-uncased-squad-v1](https://huggingface.co/csarron/bert-base-uncased-squad-v1).
 This model is case-insensitive: it does not make a difference between english and English.
 ![Pruning details](https://huggingface.co/madlag/bert-base-uncased-squad1.1-block-sparse-0.13-v1/raw/main/model_card/pruning.svg)
 ## Density plot
 ## Details