metadata
datasets:
- databricks/databricks-dolly-15k
language:
- en
metrics:
- rouge
pipeline_tag: question-answering
tags:
- question-answering
With the on-set of ChatGPT like products, there is a need of a question-answering model. Here we have finetuned Flan-T5 on a question answering dataset, where input is given as following: 'Context: <insert context for Q&A> \nInput: ' Model is trained on databricks dolly-15k dataset for QnA.