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Update README.md

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@@ -35,7 +35,7 @@ The original fp32 model comes from the fine-tuned model [roberta-base-mrpc](http
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  The calibration dataloader is the train dataloader. The default calibration sampling size 300 isn't divisible exactly by batch size 8, so the real sampling size is 304.
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- Embedding module **roberta.embeddings.token_type_embeddings** is fallbacked to fp32 due to *RuntimeError('Expect weight, indices, and offsets to be contiguous.')*
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  ### Test result
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  The calibration dataloader is the train dataloader. The default calibration sampling size 300 isn't divisible exactly by batch size 8, so the real sampling size is 304.
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+ Embedding module **roberta.embeddings.token_type_embeddings** falls back to fp32 due to *RuntimeError('Expect weight, indices, and offsets to be contiguous.')*
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  ### Test result
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