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+ Albert v2 finetuned on SQuAD v1.
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+ Trained using the [nn_pruning](https://github.com/huggingface/nn_pruning/tree/main/examples/question_answering) script, with pruning disabled.
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+ [Original results](https://github.com/google-research/albert) are F1=90.2, EM=83.2, we improved them to:
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+ ```{
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+ "exact_match": 83.74645222327341,
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+ "f1": 90.78776054621733
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+ }```