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license: mit |
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# Sparse BERT mini model (uncased) |
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Finetuned model pruned to 1:4 structured sparsity. |
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The model is a pruned version of the [BERT mini model](https://huggingface.co/prajjwal1/bert-mini). |
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## Intended Use |
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The model can be used for inference with sparsity optimisztion. |
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For further details on the model and its usage, see our repo and our implementation available [here](https://github.com/intel-innersource/frameworks.ai.nlp-toolkit.intel-nlp-toolkit). |
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We also upload the quanted int8 BERT mini sparse Neural Engine IR (acc 87.15) here, could be directly used by NLP Toolkit ref inference. |
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## Evaluation Results |
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We get the following results on the sst2 tasks development set: |
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| Task | SST-2 (Acc) | |
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|------|-------------| |
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| | 87.2 | |
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