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@@ -54,7 +54,8 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- TinyBERT is 7.5 times smaller and 9.4 times faster on inference compared to its teacher BERT model (while DistilBERT is 40% smaller and 1.6 times faster than BERT). The model has been trained on 89_754 examples split into train, validation and test. Each label was perfectly balanced in each split.
 
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  ## Intended uses & limitations
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  ## Model description
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+ TinyBERT is 7.5 times smaller and 9.4 times faster on inference compared to its teacher BERT model (while DistilBERT is 40% smaller and 1.6 times faster than BERT).
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+ The model has been trained on 89_754 examples split into train, validation and test. Each label was perfectly balanced in each split.
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  ## Intended uses & limitations
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