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Deberta Base Finetuned Squad1 Aqa

Developed by stevemobs
This model is a question-answering model based on DeBERTa-base, fine-tuned on the SQuAD1 dataset and further fine-tuned on the adversarial_qa dataset.
Downloads 15
Release Time : 5/22/2022

Model Overview

A DeBERTa model optimized for question-answering tasks, fine-tuned on adversarial QA datasets to improve performance in adversarial environments.

Model Features

Adversarial Training
Fine-tuned on the adversarial_qa dataset to enhance robustness in adversarial environments.
Based on DeBERTa Architecture
Utilizes an improved BERT architecture with better contextual understanding capabilities.
Two-stage Fine-tuning
Initially fine-tuned on the SQuAD1 dataset, then further optimized on adversarial datasets.

Model Capabilities

Question Answering System
Reading Comprehension
Text Understanding

Use Cases

Education
Automated Answering System
Used for automated question answering and evaluation systems in the education sector.
Customer Service
Intelligent Customer Service
Handles complex or adversarial customer inquiries.
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