Question Answering
Transformers
PyTorch
English
roberta
Eval Results
Inference Endpoints
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  # Model Overview
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- This is a RoBERTa-Large QA Model trained from https://huggingface.co/roberta-large in two stages. First, it is trained on synthetic adversarial data generated using a BART-Large question generator on Wikipedia passages from SQuAD as well as Wikipedia passages external to SQuAD, and then it is trained on SQuAD and AdversarialQA in a second stage of fine-tuning.
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  # Data
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  Training data: SQuAD + AdversarialQA
 
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  # Model Overview
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+ This is a RoBERTa-Large QA Model trained from https://huggingface.co/roberta-large in two stages. First, it is trained on synthetic adversarial data generated using a BART-Large question generator on Wikipedia passages from SQuAD as well as Wikipedia passages external to SQuAD, and then it is trained on SQuAD and AdversarialQA (https://arxiv.org/abs/2002.00293) in a second stage of fine-tuning.
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  # Data
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  Training data: SQuAD + AdversarialQA