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@ -18,8 +18,13 @@ invoices as well as both [SQuAD2.0](https://huggingface.co/datasets/squad_v2) an
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Unlike other QA models, which can only extract consecutive tokens (because they predict the start and end of a sequence), this model can predict longer-range, non-consecutive sequences with an additional
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Unlike other QA models, which can only extract consecutive tokens (because they predict the start and end of a sequence), this model can predict longer-range, non-consecutive sequences with an additional
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classifier head. For example, QA models often encounter this failure mode:
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classifier head. For example, QA models often encounter this failure mode:
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### Before
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![Broken Address](./before.png)
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![Broken Address](./before.png)
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### After
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However this model is able to predict non-consecutive tokens and therefore the address correctly:
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However this model is able to predict non-consecutive tokens and therefore the address correctly:
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![Two-line Address](./after.png)
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![Two-line Address](./after.png)
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