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  datasets:
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  - glue
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  model-index:
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- - name: bert-base-uncased-sst2-unstructured-sparsity-80-int8
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # bert-base-uncased-sst2-unstructured-sparsity-80-int8
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- This model is a fine-tuned version of [yujiepan/bert-base-uncased-sst2-unstructured-sparsity-80](https://huggingface.co/yujiepan/bert-base-uncased-sst2-unstructured-sparsity-80) on the GLUE SST2 dataset.
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  It achieves the following results on the evaluation set:
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  - torch loss: 0.4029
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  - torch accuracy: 0.9128
 
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  datasets:
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  - glue
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  model-index:
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+ - name: bert-base-uncased-sst2-unstructured80-PTQ
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # bert-base-uncased-sst2-unstructured80-PTQ
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+ This model conducts simple post training quantization of [yujiepan/bert-base-uncased-sst2-unstructured-sparsity-80](https://huggingface.co/yujiepan/bert-base-uncased-sst2-unstructured-sparsity-80) on the GLUE SST2 dataset.
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  It achieves the following results on the evaluation set:
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  - torch loss: 0.4029
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  - torch accuracy: 0.9128