This project forked from kimiest/contrastivelearning4chinese
用于中文句子表征的对比学习，超简洁实现，可扩展可复用，中文注释，另配说明图
🧡💛💚用于中文句子表征的对比学习，模型为SimCSE🧡💛💚
✅采用两种正负例构建方式：
1）无监督。同一个句子在不同Dropout下的BERT表征为正例，不同句子的BERT表征为负例；
2）有监督。基于文本蕴含数据集，相互蕴含的句子为正例，相互冲突的句子为负例。
✅代码结构简洁，可扩展和复用性强，包含大量中文注释
✅基于2023年最新的Pytorch和HugginFace Transformers框架实现
第一张图：有监督和无监督条件下数据的流入和流出格式
第二张图：无监督训练方式对应的损失函数计算方式示意图
第三张图：有监督训练方式对应的损失函数计算方式示意图
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