consciousAI
/

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

text2text-generation

Question Answering

text-generation-inference

Model card Files Files and versions Metrics Training metrics Community

Anshoo Mehra commited on Oct 31, 2022

Commit

5293480

·

1 Parent(s): ef5dab1

Update README.md

Files changed (1) hide show

README.md +1 -0

README.md CHANGED Viewed

@@ -13,6 +13,7 @@ The model is intended to be used for Q&A task, given the question & context, the
 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/)
 Example code:

 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/)
 Example code: