607 - project - Adversarial Open - source Q&A Model: Free Deployment, Accurately Tackle Adversarial Questions

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607 Project Adversarial

Developed by KrishnaAgarwal16

A question-answering model trained on the adversarial_qa dataset, designed to answer adversarial questions.

Question Answering System

Transformers

#Adversarial QA Training #Few-shot Learning #Rapid Iteration

Downloads 22

Release Time : 4/6/2022

Model Overview

This model was trained for 1 epoch on 1,000 samples from the adversarial_qa dataset, primarily for answering adversarial questions with a certain level of robustness.

Model Features

Adversarial Training

Trained on the adversarial_qa dataset, capable of handling adversarial questions.

Lightweight Training

Trained for only 1 epoch on 1,000 samples, suitable for rapid deployment and experimentation.

Model Capabilities

Question Answering Generation

Adversarial Question Handling

Use Cases

Education

Adversarial QA Testing

Used to test the robustness of QA systems, identifying model performance on adversarial questions.

Capable of recognizing and answering some adversarial questions.

Research

QA Model Research

Used to study QA model performance and improvement methods in adversarial environments.

Provides benchmark performance in adversarial settings.

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607 Project Adversarial

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Trained Model for Adversarial QA

🚀 Quick Start