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This model is a fine-tune checkpoint of [DistilBERT-base-cased](https://huggingface.co/distilbert-base-cased), fine-tuned using (a second step of) knowledge distillation on SQuAD v1.1.
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This model reaches a F1 score of 87.1 on the dev set (for comparison, BERT bert-base-cased version reaches a F1 score of 88.7).
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This model is a fine-tune checkpoint of [DistilBERT-base-cased](https://huggingface.co/distilbert-base-cased), fine-tuned using (a second step of) knowledge distillation on SQuAD v1.1.
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This model reaches a F1 score of 87.1 on the dev set (for comparison, BERT bert-base-cased version reaches a F1 score of 88.7).
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Using the question answering `Evaluator` from evaluate gives:
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```
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{'exact_match': 79.54588457899716,
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'f1': 86.81181300991533,
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'latency_in_seconds': 0.008683730778997168,
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'samples_per_second': 115.15787689073015,
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'total_time_in_seconds': 91.78703433400005}
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```
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which is roughly consistent with the official score.
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