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Distilbert Mrpc
D
Distilbert Mrpc
Developed by mattchurgin
基於distilbert-base-uncased在glue數據集上微調的文本分類模型，用於判斷句子對是否語義等價
Downloads 15
Release Time : 3/2/2022
Model Overview
該模型是DistilBERT的微調版本，專門用於MRPC（Microsoft Research Paraphrase Corpus）任務，即判斷兩個句子是否表達相同的意思。
Model Features
高效輕量
基於DistilBERT架構，比完整BERT模型小40%，但保留了97%的性能
高準確率
在MRPC任務上達到84.8%的準確率和89.35%的F1值
快速推理
蒸餾模型設計使得推理速度比原始BERT更快
Model Capabilities
文本分類
語義相似度判斷
句子對分析
Use Cases
文本處理
問答系統去重
識別相似問題，避免重複回答
提高問答系統效率
內容審核
檢測重複或高度相似的違規內容
提升審核效率
教育技術
學生答案評分
判斷學生答案與標準答案的語義相似度
輔助自動評分系統
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