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XLMR ENIS Finetuned Stsb
This model is a fine-tuned version of XLMR-ENIS on the GLUE dataset, specifically designed for sentence similarity tasks, with outstanding performance on the STSB subset.
Downloads 21
Release Time : 3/2/2022
Model Overview
This model is a fine-tuned version of the multilingual pre-trained model XLMR-ENIS on the STSB subset of the GLUE dataset, primarily used to evaluate the semantic similarity between two sentences.
Model Features
High-performance Sentence Similarity Evaluation
Achieves a high-performance Spearman correlation coefficient of 0.8888 on the GLUE-STSB dataset
Multilingual Support
Based on the XLMR architecture, capable of multilingual processing
Efficient Fine-tuning
Achieves excellent performance with just 5 epochs of fine-tuning
Model Capabilities
Sentence Similarity Evaluation
Semantic Relevance Analysis
Text Matching
Use Cases
Natural Language Processing
Question Answering Systems
Evaluate the match between user questions and candidate answers
Provides similarity scores ranging from 0 to 5
Information Retrieval
Calculate the semantic relevance between queries and documents
Highly accurate relevance ranking
Dialogue Systems
Identify similar user intents
Enhances the understanding capability of dialogue systems
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