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pipeline_tag: text-classification
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- f1
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pipeline_tag: text-classification
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---
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# Albert-xxl-v1 with SQuAD 2.0 sentences
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## Objective
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The model was trained as cross-encoder classification model with the objective to re-rank the results in a QA pipline.
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## Data
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The data from SQuAD 2.0 was sentence-split. The question + the sentence containing the answer was a positive example.
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The question + the remaining sentence from the same Wikipedia passege were treated as hard negative examples.
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