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deepset/roberta-base-squad2

A pre-trained language model based on RoBERTa, fine-tuned on the SQuAD2.0 dataset for extractive question answering. It achieved scores of 79.87% exact match and 82.91% F1 score on the SQuAD2.0 dev set. Deepset is the company behind the open-source NLP framework Haystack, and offers other resources such as Distilled roberta-base-squad2, German BERT, and GermanQuAD datasets and models.

A pre-trained language model based on RoBERTa, fine-tuned on the SQuAD2.0 dataset for extractive question answering. It achieved scores of 79.87% exact match and 82.91% F1 score on the SQuAD2.0 dev set. Deepset is the company behind the open-source NLP framework Haystack, and offers other resources such as Distilled roberta-base-squad2, German BERT, and GermanQuAD datasets and models.

Public
$0.0005/sec

Input

question relating to context

question source material

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Output

fox (0.18)

 


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