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Albert Xxl V2 Finetuned Squad

Developed by anas-awadalla
A question answering model fine-tuned on the SQuAD dataset based on ALBERT-xxlarge-v2
Downloads 15
Release Time : 5/20/2022

Model Overview

This model is a fine-tuned version of ALBERT-xxlarge-v2 on the SQuAD question answering dataset, primarily used for reading comprehension tasks.

Model Features

Efficient Fine-tuning
Efficient fine-tuning based on the pre-trained ALBERT architecture
Question Answering Capability
Optimized question answering capability for the SQuAD dataset
Multi-GPU Training
Supports distributed training with multiple GPUs

Model Capabilities

Reading Comprehension
Question Answering System
Text Understanding

Use Cases

Education
Automatic Answering System
Answer related questions based on given text content
Customer Service
FAQ Auto-answering
Automatically answer frequently asked questions based on knowledge base content
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