Bert_Traditional_Net_Classification:bert_traditional_net_classification
机器
GeForce RTX 280
环境
python 3.6.12
pytorch 1.6.0
中文数据集
ChineseNlpCorpus中属于情感/观点/评论倾向性分析的微博评论数据集weibo_senti_100k
该数据集包含119988条带情感标注的新浪微博评论数据，其中正向评论占59993条，负向评论占59995条
类别：negative，positive
数据集划分：
数据集
数据量
训练集
95990
验证集
11999
测试集
11999
效果
模型
acc
备注
bert
97.78%
单纯的bert
bert_BiLSTM
97.93%
bert + BiLSTM
bert_DPCNN
97.87%
bert + DPCNN
bert_BiLSTM_Att
98.42%
bert + BiLSTM + Attention
预训练语言模型
bert模型放在 bert
文件下载
资源详情
[{"title":"（ 70 个子文件 10.1MB ） Bert_Traditional_Net_Classification:bert_traditional_net_classification","children":[{"title":"Bert_Traditional_Net_Classification-main","children":[{"title":"result.txt <span style='color:#111;'> 2.44KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 1.14KB </span>","children":null,"spread":false},{"title":"WEIBO","children":[{"title":"saved_dict","children":[{"title":"bert_BiLSTM_Att (2).ckpt <span style='color:#111;'> 18B </span>","children":null,"spread":false}],"spread":true},{"title":"data","children":[{"title":"test.txt <span style='color:#111;'> 1.92MB </span>","children":null,"spread":false},{"title":"dev.txt <span style='color:#111;'> 1.89MB </span>","children":null,"spread":false},{"title":"train.txt <span style='color:#111;'> 15.09MB </span>","children":null,"spread":false},{"title":"class.txt <span style='color:#111;'> 18B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"train_eval.py <span style='color:#111;'> 4.92KB </span>","children":null,"spread":false},{"title":"pytorch_pretrained","children":[{"title":"convert_openai_checkpoint_to_pytorch.py <span style='color:#111;'> 3.03KB </span>","children":null,"spread":false},{"title":"convert_gpt2_checkpoint_to_pytorch.py <span style='color:#111;'> 2.95KB </span>","children":null,"spread":false},{"title":"tokenization.py <span style='color:#111;'> 16.72KB </span>","children":null,"spread":false},{"title":"modeling_gpt2.py <span style='color:#111;'> 31.04KB </span>","children":null,"spread":false},{"title":"convert_transfo_xl_checkpoint_to_pytorch.py <span style='color:#111;'> 5.54KB </span>","children":null,"spread":false},{"title":"optimization.py <span style='color:#111;'> 12.72KB </span>","children":null,"spread":false},{"title":"tokenization_gpt2.py <span style='color:#111;'> 12.80KB </span>","children":null,"spread":false},{"title":"optimization_openai.py <span style='color:#111;'> 5.39KB </span>","children":null,"spread":false},{"title":"modeling_openai.py <span style='color:#111;'> 37.32KB </span>","children":null,"spread":false},{"title":"modeling_transfo_xl.py <span style='color:#111;'> 57.54KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"convert_gpt2_checkpoint_to_pytorch.cpython-37.pyc <span style='color:#111;'> 1.72KB </span>","children":null,"spread":false},{"title":"__init__.cpython-36.pyc <span style='color:#111;'> 1.55KB </span>","children":null,"spread":false},{"title":"optimization.cpython-36.pyc <span style='color:#111;'> 10.77KB </span>","children":null,"spread":false},{"title":"tokenization_openai.cpython-37.pyc <span style='color:#111;'> 10.64KB </span>","children":null,"spread":false},{"title":"modeling_gpt2.cpython-37.pyc <span style='color:#111;'> 27.34KB </span>","children":null,"spread":false},{"title":"convert_tf_checkpoint_to_pytorch.cpython-37.pyc <span style='color:#111;'> 1.53KB </span>","children":null,"spread":false},{"title":"modeling_gpt2.cpython-36.pyc <span style='color:#111;'> 27.55KB </span>","children":null,"spread":false},{"title":"__init__.cpython-37.pyc <span style='color:#111;'> 1.55KB </span>","children":null,"spread":false},{"title":"optimization_openai.cpython-36.pyc <span style='color:#111;'> 3.69KB </span>","children":null,"spread":false},{"title":"modeling_transfo_xl_utilities.cpython-37.pyc <span style='color:#111;'> 8.85KB </span>","children":null,"spread":false},{"title":"tokenization.cpython-36.pyc <span style='color:#111;'> 12.26KB </span>","children":null,"spread":false},{"title":"tokenization_transfo_xl.cpython-36.pyc <span style='color:#111;'> 16.83KB </span>","children":null,"spread":false},{"title":"tokenization.cpython-37.pyc <span style='color:#111;'> 12.21KB </span>","children":null,"spread":false},{"title":"modeling_transfo_xl.cpython-36.pyc <span style='color:#111;'> 40.54KB </span>","children":null,"spread":false},{"title":"modeling_transfo_xl_utilities.cpython-36.pyc <span style='color:#111;'> 8.88KB </span>","children":null,"spread":false},{"title":"convert_openai_checkpoint_to_pytorch.cpython-37.pyc <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false},{"title":"__main__.cpython-37.pyc <span style='color:#111;'> 2.31KB </span>","children":null,"spread":false},{"title":"modeling_openai.cpython-36.pyc <span style='color:#111;'> 32.44KB </span>","children":null,"spread":false},{"title":"modeling.cpython-37.pyc <span style='color:#111;'> 50.83KB </span>","children":null,"spread":false},{"title":"file_utils.cpython-36.pyc <span style='color:#111;'> 7.06KB </span>","children":null,"spread":false},{"title":"modeling_transfo_xl.cpython-37.pyc <span style='color:#111;'> 40.37KB </span>","children":null,"spread":false},{"title":"file_utils.cpython-37.pyc <span style='color:#111;'> 7.04KB </span>","children":null,"spread":false},{"title":"tokenization_openai.cpython-36.pyc <span style='color:#111;'> 10.65KB </span>","children":null,"spread":false},{"title":"tokenization_gpt2.cpython-37.pyc <span style='color:#111;'> 10.82KB </span>","children":null,"spread":false},{"title":"tokenization_gpt2.cpython-36.pyc <span style='color:#111;'> 10.83KB </span>","children":null,"spread":false},{"title":"modeling_openai.cpython-37.pyc <span style='color:#111;'> 32.25KB </span>","children":null,"spread":false},{"title":"modeling.cpython-36.pyc <span style='color:#111;'> 51.02KB </span>","children":null,"spread":false},{"title":"optimization.cpython-37.pyc <span style='color:#111;'> 10.71KB </span>","children":null,"spread":false},{"title":"convert_transfo_xl_checkpoint_to_pytorch.cpython-37.pyc <span style='color:#111;'> 2.97KB </span>","children":null,"spread":false},{"title":"optimization_openai.cpython-37.pyc <span style='color:#111;'> 3.66KB </span>","children":null,"spread":false},{"title":"tokenization_transfo_xl.cpython-37.pyc <span style='color:#111;'> 16.72KB </span>","children":null,"spread":false}],"spread":false},{"title":"convert_tf_checkpoint_to_pytorch.py <span style='color:#111;'> 2.53KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 1.28KB </span>","children":null,"spread":false},{"title":"__main__.py <span style='color:#111;'> 4.29KB </span>","children":null,"spread":false},{"title":"tokenization_transfo_xl.py <span style='color:#111;'> 21.54KB </span>","children":null,"spread":false},{"title":"file_utils.py <span style='color:#111;'> 8.90KB </span>","children":null,"spread":false},{"title":"tokenization_openai.py <span style='color:#111;'> 13.61KB </span>","children":null,"spread":false},{"title":"modeling.py <span style='color:#111;'> 58.70KB </span>","children":null,"spread":false},{"title":"modeling_transfo_xl_utilities.py <span style='color:#111;'> 15.74KB </span>","children":null,"spread":false}],"spread":false},{"title":"utils.py <span style='color:#111;'> 3.23KB </span>","children":null,"spread":false},{"title":"models","children":[{"title":"bert_DPCNN.py <span style='color:#111;'> 3.69KB </span>","children":null,"spread":false},{"title":"bert_BiLSTM_Att.py <span style='color:#111;'> 3.71KB </span>","children":null,"spread":false},{"title":"bert_BiLSTM.py <span style='color:#111;'> 2.68KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"bert.cpython-36.pyc <span style='color:#111;'> 2.03KB </span>","children":null,"spread":false},{"title":"bert.cpython-37.pyc <span style='color:#111;'> 2.04KB </span>","children":null,"spread":false}],"spread":true},{"title":"bert.py <span style='color:#111;'> 2.26KB </span>","children":null,"spread":false}],"spread":true},{"title":"__pycache__","children":[{"title":"train_eval.cpython-36.pyc <span style='color:#111;'> 4.09KB </span>","children":null,"spread":false},{"title":"utils.cpython-37.pyc <span style='color:#111;'> 3.31KB </span>","children":null,"spread":false},{"title":"train_eval.cpython-37.pyc <span style='color:#111;'> 4.10KB </span>","children":null,"spread":false},{"title":"utils.cpython-36.pyc <span style='color:#111;'> 3.32KB </span>","children":null,"spread":false}],"spread":true},{"title":"bert_pretrain","children":[{"title":"bert_config.json <span style='color:#111;'> 520B </span>","children":null,"spread":false}],"spread":true},{"title":"run.py <span style='color:#111;'> 1.49KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]
评论信息
其他资源
- 多径衰落信道的仿真模拟.doc
- 谷粒商城-课件资料整理
- rtl8723DS.zip
- DSP 基2 FFT算法的详细代码带注释（本人用F28335平台）
- CSS、XSL显示XML实验报告 报告+实验代码+截图+心得
- Linux驱动学习总结
- Python GUI项目：文件夹管理系统代码
- 在Hadoop的MapReduce任务中使用C程序的三种方法
- java进程调度算法
- 软件工程案例分析
- NTLEA_03996174.exe
- 开源OpenStack教材.zip
- arcgis操作视频
- C#SharpAvi桌面录屏源码
- amd锐龙1950x黑苹果drivers64UEFI+kexts
- Visual Studio C#+SQL Server数据库开发与实例
- Apk反编译工具合集-安卓反编译
- 手环程序stm32f051,max30102
- gmock-1.6.0.zip
- xilinx dds
- C++学生通讯录系统
- PHP购物车源码
- 线性反馈移位寄存器
- 简单实现Android 6.0指纹识别Demo
- 使用quartz实现不重启服务器修改自定义配置的示例
- ZoomInstaller .exe
免责申明
【只为小站】的资源来自网友分享，仅供学习研究，请务必在下载后24小时内给予删除，不得用于其他任何用途，否则后果自负。基于互联网的特殊性，【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查；无论 【只为小站】 经营者是否已进行审查，用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明