# SQuAD2.0 fine-tuning

An extractive QA model fine-tuned on the SQuAD2.0 dataset based on flan-t5-base, capable of handling question-answer pairs including unanswerable questions.

A multilingual Q&A model based on mDeBERTa-v3-base, fine-tuned on the SQuAD2.0 dataset

A QA model fine-tuned on SQuAD2.0 dataset based on distilroberta-base, supporting unanswerable questions

A compact Q&A model fine-tuned on the SQuAD2.0 dataset based on Google's BERT-Tiny architecture, with a size of only 16.74MB

A Q&A system model based on BART-large architecture, fine-tuned on the SQuAD2.0 dataset, excelling at extracting answers from given text