Spanbert Qa
A question-answering model fine-tuned on SpanBERT/spanbert-base-cased, suitable for reading comprehension tasks
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Release Time : 12/30/2022
Model Overview
This model is a question-answering model fine-tuned on SpanBERT/spanbert-base-cased, primarily used for reading comprehension tasks, capable of extracting answer segments from given texts.
Model Features
Based on SpanBERT Architecture
Utilizes the SpanBERT pre-trained model architecture, specifically optimized for span processing capabilities
Optimized for QA Tasks
Fine-tuned for reading comprehension tasks, accurately extracting answer segments from texts
Efficient Training
Achieves good results with just 3 training epochs, validation loss of 1.4649
Model Capabilities
Text Understanding
Answer Extraction
Reading Comprehension
Use Cases
Education
Reading Comprehension Assistance
Helps students quickly extract answers to questions from texts
Information Retrieval
Document-based QA System
Builds automated question-answering systems based on documents
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