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@@ -24,9 +24,9 @@ I created the `combined` metric (55% F1 score + 45% exact match score) and load
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  This model is a fine-tuned version of [ahotrod/electra_large_discriminator_squad2_512](https://huggingface.co/ahotrod/electra_large_discriminator_squad2_512) on a generated Questions and Answers dataset from the DSPFirst textbook based on the SQuAD 2.0 format.<br />
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  It achieves the following results on the evaluation set:
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  - Loss: 0.8529
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- - Exact: 66.3117
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- - F1: 73.4039
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- - Combined: 70.2124
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  ## More accurate metrics:
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  This model is a fine-tuned version of [ahotrod/electra_large_discriminator_squad2_512](https://huggingface.co/ahotrod/electra_large_discriminator_squad2_512) on a generated Questions and Answers dataset from the DSPFirst textbook based on the SQuAD 2.0 format.<br />
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  It achieves the following results on the evaluation set:
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  - Loss: 0.8529
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+ - Exact: 67.0964
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+ - F1: 74.4842
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+ - Combined: 71.1597
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  ## More accurate metrics:
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