README.md

---
library_name: transformers
tags: [bert微调；中文；情感评分；]
---

# Model Card for Model ID

为适配评论情感评分任务，用online_shopping_10_cats数据集对Bert-base-chinese预训练模型进行微调。

online_shopping_10_cats数据集中评论数据类型丰富，包含来自10种不同类别商品（书籍、平板、手机、水果、洗发水、热水器、蒙牛、衣服、计算机、酒店）的在线购物评论，
共62774条，正向评论31728条，负向评论31046条。训练前将online_shopping_10_cats数据集随机按6：2：2的比例分为训练集、验证集和测试集，即训练集包含37664条评论数据，
验证集和测试集皆包含12555条评论数据。以保证数据集的代表性和独立性，从而更客观地评估模型的分类效果。
微调后的模型性能良好，准确率和F1值都高达95%。



## Model Details
若想使用该模型，下载完该模型后，应加载bert_base_chinese的分词器。

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