Update README.md

README.md

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 The model contains **51%** of the original weights **overall** (the embeddings account for a significant part of the model, and they are not pruned by this method).
 
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 In terms of perfomance, its **accuracy** is **91.17**.
 
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 A side-effect of the block pruning method is that some of the attention heads are completely removed: 88 heads were removed on a total of 144 (61.1%).
 Here is a detailed view on how the remaining heads are distributed in the network after pruning.
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 ## Details of the SST-2 dataset