Spanbert Finetuned Squadv2
SpanBERT is a pre-trained model developed by Facebook Research, fine-tuned on the SQuAD 2.0 dataset for question answering tasks.
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Release Time : 3/2/2022
Model Overview
This model is a question-answering model based on the SpanBERT architecture, specifically fine-tuned for the SQuAD 2.0 dataset, capable of answering questions and determining whether a question is answerable.
Model Features
Text Span Prediction
SpanBERT improves pre-training by representing and predicting text spans, making it particularly suitable for question-answering tasks.
Handling Unanswerable Questions
The model can identify whether a passage does not support an answer and avoid responding, which is a core challenge of SQuAD 2.0.
Model Capabilities
Question Answering System
Text Understanding
Answer Localization
Use Cases
Education
Reading Comprehension Assistance
Helps students understand text content and answer questions
Improves reading comprehension efficiency and accuracy
Customer Service
Automated Q&A System
Automatically answers common customer questions
Reduces workload for manual customer support
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