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Bert Base Msmarco

Developed by Capreolus
A fine-tuned version based on the BERT-Base architecture for the MS MARCO passage classification task, suitable for document re-ranking tasks
Large Language Model#MSMARCO Passage Classification#BERT-Base Fine-tuning#Document Re-ranking
Downloads 64
Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version based on the BERT-Base architecture for the MS MARCO passage classification task, primarily used for document re-ranking tasks and can be utilized as a ForSequenceClassification model.

Model Features

MS MARCO Fine-tuning
Specially fine-tuned on the MS MARCO passage classification task, optimizing document re-ranking performance
BERT-Base Architecture
Based on the mature BERT-Base architecture, featuring a 12-layer Transformer structure and 768-dimensional hidden layers
Document Re-ranking Optimization
Particularly suitable for document re-ranking tasks, such as serving as an initialization model for methods like BERT-MaxP and PARADE

Model Capabilities

Text classification
Document re-ranking
Passage representation extraction

Use Cases

Information Retrieval
Search Engine Result Re-ranking
Re-ranking documents returned by search engines to improve relevance
Performs excellently on the MS MARCO dataset
Question Answering Systems
Passage Relevance Scoring
Evaluating the relevance of passages to questions
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