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Finetuning Sentiment Ditilbert
F
Finetuning Sentiment Ditilbert
Developed by Neo111x
基于distilbert-base-uncased微调的情感分析模型，在评估集上准确率达87.67%
Downloads 15
Release Time : 6/26/2024
Model Overview
该模型是针对情感分析任务微调的轻量级BERT变体，适用于文本情感分类
Model Features
高效轻量
基于DistilBERT架构，比标准BERT体积小40%但保留97%性能
高准确率
在评估集上达到87.67%的准确率和0.8795的F1值
快速训练
仅需2个训练轮次即可达到良好效果
Model Capabilities
文本情感分类
英语文本分析
Use Cases
社交媒体分析
评论情感分析
分析用户评论的情感倾向（正面/负面）
准确率87.67%
客户反馈分析
客服对话评估
自动分类客户反馈的情感倾向
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