roberta-base-squad Open-Source Q&A Model - Free Deployment for Accurately Answering Various Questions

Roberta Base Squad

Developed by DLL888

A question-answering model fine-tuned based on the roberta-base model, trained on SQuAD format datasets

Downloads 14

Release Time : 12/1/2022

Model Overview

This model is a question-answering model fine-tuned based on the RoBERTa-base architecture, suitable for extracting answers from given texts.

Fine-tuning Performance Improvement

Compared to the base model, it demonstrates better accuracy in question-answering tasks.

Transfer Learning Capability

Based on the RoBERTa pre-trained model, it possesses strong language understanding capabilities.

Text Understanding

Answer Extraction

Contextual Question Answering

Intelligent Question Answering System

Document Question Answering

Extracting answers to specific questions from long documents

Achieves approximately 77% answer position accuracy on the validation set.

Train Loss	Train End Logits Accuracy	Train Start Logits Accuracy	Validation Loss	Validation End Logits Accuracy	Validation Start Logits Accuracy	Epoch
1.1613	0.7038	0.6632	0.8676	0.7626	0.7342	0
0.7054	0.8022	0.7586	0.8224	0.7692	0.7402	1

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