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Roberta Base Squad2 Finetuned Squad
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Roberta Base Squad2 Finetuned Squad
Developed by deepakvk
This model is a question-answering model fine-tuned on the SQuAD 2.0 dataset based on RoBERTa-base, excelling in reading comprehension tasks.
Downloads 14
Release Time : 3/16/2022
Model Overview
A question-answering model based on the RoBERTa architecture, fine-tuned for the SQuAD 2.0 dataset, capable of answering questions based on given text, including unanswerable questions.
Model Features
SQuAD 2.0 Fine-tuning
Optimized specifically for the SQuAD 2.0 dataset, capable of handling complex Q&A scenarios including unanswerable questions.
RoBERTa Base
Built on the powerful RoBERTa-base model with excellent language understanding capabilities.
Precise Answer Extraction
Capable of precisely extracting answer segments from given text.
Model Capabilities
Reading Comprehension
Answer Extraction
Question Answering
Unanswerable Recognition
Use Cases
Education
Reading Comprehension Assistance
Helps students understand article content and answer related questions
Improves reading comprehension skills and learning efficiency
Customer Service
FAQ Auto-Response
Automatically answers common customer questions based on knowledge base documents
Reduces workload for manual customer service
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