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Fid T5 Large Nq
F
Fid T5 Large Nq
Developed by Intel
This model is based on a decoder fusion architecture, using the t5-large checkpoint, trained on the Natural Questions dataset for Q&A system tasks.
Downloads 156
Release Time : 2/19/2023
Model Overview
This model employs decoder fusion technology combined with text retrieval functionality, optimized for the Natural Questions dataset, primarily used to generate accurate Q&A results.
Model Features
Decoder Fusion Technology
Adopts an innovative decoder fusion architecture to enhance model performance in Q&A tasks
Text Retrieval Enhancement
Performs text retrieval for each query to obtain relevant passage sets as context
Wikipedia Knowledge Base
A passage retrieval corpus built on Wikipedia, providing rich background knowledge
Model Capabilities
Text Generation
Q&A System
Information Retrieval
Use Cases
Knowledge Q&A
Fact-based Question Answering
Answers fact-based natural language questions
Achieves an exact match score of 59.01 on the NQ KILT dataset
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