consciousAI
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question-answering-generative-t5-v1-base-s-q-c

Text2Text Generation

Question Answering

text-generation-inference

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Anshoo Mehra commited on Oct 31, 2022

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 The model is intended to be used for Q&A task, given the question & context, the model would attempt to infer the answer text.<br>
 Model is generative (t5-v1-base), fine-tuned from [question-generation-auto-hints-t5-v1-base-s-q-c](https://huggingface.co/anshoomehra/question-generation-auto-hints-t5-v1-base-s-q-c) with - **Loss:** 0.6751 & **Rougel:** 0.8022 performance scores.
-[Live Demo: Question Answering Leveraging Encoders vs Generative](https://huggingface.co/spaces/anshoomehra/question_answering)
 [Encoder based Question Answering](https://huggingface.co/anshoomehra/question-answering-roberta-base-s/)

 The model is intended to be used for Q&A task, given the question & context, the model would attempt to infer the answer text.<br>
 Model is generative (t5-v1-base), fine-tuned from [question-generation-auto-hints-t5-v1-base-s-q-c](https://huggingface.co/anshoomehra/question-generation-auto-hints-t5-v1-base-s-q-c) with - **Loss:** 0.6751 & **Rougel:** 0.8022 performance scores.
+[Live Demo: Question Answering Encoders vs Generative](https://huggingface.co/spaces/anshoomehra/question_answering)
 [Encoder based Question Answering](https://huggingface.co/anshoomehra/question-answering-roberta-base-s/)