CTION-QA: Question Answering Model

Model Description

A Question Answering (Q&A) model is a transformer-based NLP model trained to understand a given context and accurately extract or generate answers to user questions from that text. It is fine-tuned on the SQuAD 2.0 dataset for extractive question answering.

Performance

Metric	Score
Exact Match	76.9
F1 Score	79.8
Context Length	512

Usage

from transformers import pipeline

qa = pipeline(
    "question-answering",
    model="hariprabhakaran45/CTION-QA"
)

result = qa(
    question="Who is the Eiffel Tower named after?",
    context="The Eiffel Tower is named after Gustave Eiffel."
)

print(result["answer"])