Create README.md

# Albert-XXL-v1 trained on sentences of SQuAD 2.0

## Objective

The model was trained as a sentence pair classification model in order to be used as a re-ranker in a QA pipeline.

## Data

The data was taken from SQuAD 2.0. The texts were sentence-split and the sentence containing the answer + the question were taken as a positive example (full cross-encoder style). The sentences that didn't contain the answer + question were used as hard negatives, since they were much related to the question.

README.md

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+---
+license: apache-2.0
+datasets:
+- squad_v2
+language:
+- en
+metrics:
+- accuracy
+- f1
+pipeline_tag: text-classification
+---
+#