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README.md
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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-
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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-
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This model
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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
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