B

Bert Small Finetuned Squadv2

Developed by mrm8488
BERT-Small is a compact BERT model developed by Google Research, fine-tuned on the SQuAD 2.0 dataset, suitable for Q&A tasks in resource-constrained environments.
Downloads 314
Release Time : 3/2/2022

Model Overview

This model is one of the 24 small BERT models, specifically designed for resource-constrained environments and performs best in knowledge distillation scenarios.

Model Features

Compact and Efficient
Designed for resource-constrained environments, with a size of only 109.74MB.
Excellent Q&A Performance
Achieved EM 60.49 and F1 64.21 on the SQuAD 2.0 evaluation set.
Knowledge Distillation Friendly
Especially suitable as a student model for knowledge distillation with larger teacher models.

Model Capabilities

Q&A System
Text Understanding
Context Analysis

Use Cases

Intelligent Customer Service
Automated Q&A System
Used to build knowledge-based automated Q&A systems.
Can accurately answer user questions and determine if the question is answerable.
Educational Technology
Learning Assistance System
Helps students quickly find answers in textbooks.
Can understand questions and locate relevant passages in textbooks.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase