roberta large for Extractive QA This is the roberta large model, fine tuned using the SQuAD2.0 dataset. It's been trained on question answer pairs, including unanswerable questions, for the task of Question Answering. Overview Language model: roberta large Language: English Downstream task: Extractive QA Training data: SQuAD 2.0 Eval data: SQuAD 2.0 Code: See an example extractive QA pipeline built with Haystack Infrastructure : 4x Tesla v100 Hyperparameters Using a distilled model instead Please note that we have also released a distilled version of this model called deepset/roberta base squad2 distilled. The distilled model has a comparable prediction quality and runs at twice the speed of the large model. Usage In Haystack Haystack is an AI orchestration framework to build customizable, production ready LLM applications. You can use this model in Haystack to do extractive question answering on documents. To load and run the model with Haystack: For a complete example with an extractive question answering pipeline that scales over many documents, check out the corresponding Haystack tutorial. In Transformers Authors Branden Chan: branden.chan@deepset.ai Timo Möller: timo.moeller@…
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