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 Input: Insert query for model.
Dataset
Model is trained on databricks dolly-15k dataset for Question Answering.
Dataset used for training is 2000 rows and 100 for testing.
