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Developed by ThomasNLG
A Q&A system model based on T5-small architecture, supporting extractive Q&A tasks and capable of handling both answerable and unanswerable scenarios
Downloads 533
Release Time : 3/2/2022

Model Overview

This model is a Q&A system based on the T5-small architecture, primarily designed for extractive Q&A tasks. It serves as a component of the QuestEval evaluation metric but can also function independently as a pure Q&A model. Trained on the SQuAD-v2 dataset and its negative samples, it exhibits enhanced capability in handling unanswerable questions.

Model Features

Negative Sample Handling
Trained on SQuAD-v2 negative samples, the model can effectively determine whether a question is answerable
Dual-Purpose Design
Can be used independently as a Q&A model or as part of the QuestEval evaluation metric
T5 Architecture-Based
Utilizes the T5-small architecture, demonstrating strong performance in Q&A tasks

Model Capabilities

Extractive Q&A
Question Answerability Judgment
Text Comprehension

Use Cases

Q&A System
Factual Q&A
Answer user questions based on given text
Accurately extracts answers from the text
Question Answerability Assessment
Determine if the given text contains an answer to the question
Identifies unanswerable questions
Evaluation Metrics
QuestEval Evaluation Component
Serves as part of the QuestEval factuality evaluation framework
Used to assess text generation quality
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