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Monot5 3b Msmarco
A re-ranker based on the T5-3B architecture, fine-tuned for 100,000 steps on the MS MARCO passage dataset for document ranking tasks.
Downloads 737
Release Time : 3/2/2022
Model Overview
This model is a re-ranker based on the T5-3B architecture, specifically designed for document ranking tasks. It was fine-tuned for 100,000 steps (10 epochs) on the MS MARCO passage dataset, effectively improving the ranking performance of document retrieval.
Model Features
Based on T5-3B Architecture
Utilizes the powerful T5-3B model architecture, excelling in sequence-to-sequence processing capabilities.
MS MARCO Fine-tuning
Fine-tuned for 100,000 steps on the MS MARCO passage dataset, optimizing document ranking performance.
Re-ranking Capability
Specifically designed to re-rank initial retrieval results, improving retrieval relevance.
Model Capabilities
Document Re-ranking
Retrieval Result Optimization
Relevance Scoring
Use Cases
Information Retrieval
Search Engine Result Optimization
Re-ranks initial search engine results to improve the ranking of the most relevant results.
Enhances user search experience and click-through rate
Question Answering System
Ranks candidate answers in a question-answering system to select the most relevant answer.
Improves the accuracy of the question-answering system
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