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Frugalscore Medium Bert Base Mover Score

Developed by moussaKam
A lightweight text evaluation model based on knowledge distillation, using a small student model to mimic the scoring behavior of a large teacher model
Downloads 43
Release Time : 3/2/2022

Model Overview

Achieves expensive NLG evaluation metrics like BERTScore in a fixed low-cost manner, retaining over 90% of original performance

Model Features

Efficient knowledge distillation
Distills teacher model's scoring behavior through regression tasks, student model parameters are only 1% of teacher's
Multi-teacher compatibility
Supports knowledge transfer from various teacher models like BERT/RoBERTa/DeBERTa
Evaluation metric retention
Retains 90-95% of original performance on BERTScore and MoverScore metrics

Model Capabilities

Text generation quality assessment
Machine translation evaluation
Summarization evaluation
Dialogue system evaluation

Use Cases

NLG system development
Machine translation quality monitoring
Low-cost evaluation of translation model output quality in continuous integration
8-12x faster than original BERTScore
Text summarization evaluation
Automated evaluation pipeline for summarization generation models
0.85-0.92 correlation with human evaluation
Academic research
Lightweight evaluation benchmark
Replaces expensive evaluation metrics in resource-constrained environments
80% reduction in memory usage
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