https://github.com/bojone/CoSENT

比Sentence-BERT更有效的句向量方案
https://github.com/bojone/CoSENT

Last synced: 3 months ago
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比Sentence-BERT更有效的句向量方案

• Host: GitHub
• URL: https://github.com/bojone/CoSENT
• Owner: bojone
• Created: 2022-01-06T08:18:05.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-11-09T08:18:39.000Z (almost 2 years ago)
• Last Synced: 2024-06-24T05:36:57.624Z (5 months ago)
• Language: Python
• Size: 37.1 KB
• Stars: 346
• Watchers: 5
• Forks: 24
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• StarryDivineSky - bojone/CoSENT - BERT更有效的句向量方案.优化cos值的新方案**CoSENT**（Cosine Sentence）。[实验显示](https://kexue.fm/archives/8847)，CoSENT在收敛速度和最终效果上普遍都比InferSent和Sentence-BERT要好。 (文本匹配 文本检索 文本相似度 / 其他_文本生成、文本对话)

README

        
# CoSENT

比Sentence-BERT更有效的句向量方案

## 介绍

- 博客：https://kexue.fm/archives/8847

- 数据：https://github.com/bojone/BERT-whitening/tree/main/chn

## 效果

train训练、test测试：

| | ATEC | BQ | LCQMC | PAWSX | STS-B | Avg |

| :-: | :-: | :-: | :-: | :-: | :-: | :-: |

| BERT+CoSENT | **49.74** | **72.38** | 78.69 | **60.00** | **80.14** | **68.19** |

| Sentence-BERT | 46.36 | 70.36 | **78.72** | 46.86 | 66.41 | 61.74 |

| RoBERTa+CoSENT | **50.81** | **71.45** | **79.31** | **61.56** | **81.13** | **68.85** |

| Sentence-RoBERTa | 48.29 | 69.99 | 79.22 | 44.10 | 72.42 | 62.80 |

NLI训练、test测试：

| | ATEC | BQ | LCQMC | PAWSX | STS-B | Avg |

| :-: | :-: | :-: | :-: | :-: | :-: | :-: |

| BERT+CoSENT | **28.93** | 41.84 | **66.07** | **20.49** | 73.91 | **46.25** |

| Sentence-BERT | 28.19 | **42.73** | 64.98 | 15.38 | **74.88 | 45.23 |

| RoBERTa+CoSENT | 31.84 | **46.65** | **68.43** | **20.89** | **74.37** | **48.43** |

| Sentence-RoBERTa | **31.87** | 45.60 | 67.89 | 15.64 | 73.93 | 46.99 |

## 环境

需要`bert4keras >= 0.10.8`。个人实验环境是tensorflow 1.15 + keras 2.3.1 + bert4keras 0.10.8。

## 其他

- PyTorch版本（非官方）：https://github.com/shawroad/CoSENT_Pytorch

- PyTorch版本（非官方）：https://github.com/xiangking/PyTorch_CoSENT

## 交流

QQ交流群：808623966，微信群请加机器人微信号spaces_ac_cn