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Distilbert Base Uncased Finetuned Squad
This model is a fine-tuned version of the DistilBERT base model on the SQuAD question answering dataset, specifically designed for question answering tasks.
Downloads 16
Release Time : 6/26/2022
Model Overview
A lightweight version of DistilBERT, fine-tuned on the SQuAD dataset for reading comprehension question answering tasks.
Model Features
Lightweight Model
Based on the DistilBERT architecture, it is smaller and faster than the full BERT model while maintaining good performance.
Optimized for QA Tasks
Fine-tuned specifically on the SQuAD question answering dataset, making it suitable for reading comprehension tasks.
Efficient Inference
Capable of processing 76 samples per second during evaluation, making it suitable for production deployment.
Model Capabilities
Reading Comprehension
Question Answering System
Text Understanding
Use Cases
Education
Automated Q&A System
Used in educational platforms to automatically answer students' questions about text content
Customer Service
FAQ Auto-Response
Automatically answers common customer questions based on document content
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