2.6 KiB
License
License: eyJhbGciOiJSUzI1NiIsImtpZCI6InUzaHgyQjQyQWhEUXM1M0xQY09yNnZhaTdoSlduYnF1bTRZTlZWd1VwSWM9In0.eyJjb25jdXJyZW50QWdlbnRzIjoxLCJ0cmlhbCI6ZmFsc2UsIm1heFN0b3JhZ2VHYiI6MTAsIm1heFRlYW1zIjowLCJtYXhVc2VycyI6MSwibWF4Vmlld09ubHlVc2VycyI6MCwibWF4UmVnaXN0ZXJlZE1vZGVscyI6MiwiZXhwaXJlc0F0IjoiMjAyNy0wMS0wNVQwMjoxMjo1MC4zMjRaIiwiZGVwbG95bWVudElkIjoiYzNmN2Y5N2ItMzAxOS00Nzk2LTkxYTgtZDUyMjc1NDBiMTI1IiwiZmxhZ3MiOltdLCJjb250cmFjdFN0YXJ0RGF0ZSI6IjIwMjYtMDEtMDVUMDI6MTI6NTAuMzI0WiIsImFjY2Vzc0tleSI6IjYxMGM5NjliLTk4ZWEtNGRhNS1iYzU1LWM2MzVlZWNhNzc0OCIsInNlYXRzIjoxLCJ2aWV3T25seVNlYXRzIjowLCJ0ZWFtcyI6MCwicmVnaXN0ZXJlZE1vZGVscyI6Miwic3RvcmFnZUdpZ3MiOjEwLCJleHAiOjE3OTkxMTUxNzAsIndlYXZlTGltaXRzIjp7IndlYXZlTGltaXRCeXRlcyI6bnVsbCwid2VhdmVPdmVyYWdlQ29zdENlbnRzIjowLCJ3ZWF2ZU92ZXJhZ2VVbml0IjoiTUIifX0.VADnc0PExWhGDAxMIbu0vlmPN423B398of4HFl6BMJ1vqGA9H1ESElOZfk0VQ0YnYgwZc_CZF9k0HRyfCBgRhtRKyB1PpGnaKT_kKNVQryykWRpNhnpDqhmTa-wfTUBXNxhu1ktNPKBFNaEbaYuPsLN_aXPGW0dDwp6coGnGEXEqdRmuvekE6ytu7t6IA6flYs35WqCojvvjAmfBdovo2zPTfmlqKeaz7GPrApMo9JBpmb1a6bZEjCoRhhUx_k-v2rbvE3hd9ix9_UMZ6siJ5IKtNuXy_cprcCXXIFVUMcfTnt78RRXY0jCRMQqWkNq9ZGF0Mgcjsh3ts9xSxPgWnw
License 限制
Add License to your Local Instance Create up to 0 teams Create up to 1 users Store up to 10 GB of data Create up to 2 Registered Models
Quickstart On a machine with Docker and Python installed, run: 1 pip install wandb --upgrade 2 wandb server start Generate a free license from the Deployer. Add it to your W&B Server's localhost's settings. Paste the license in the /system-admin page on your localhost
docker 部署
deployment: version: "3.8"
services: wandb: image: wandb/local:latest container_name: wandb-local ports: - "8080:8080" volumes: - wandb_data:/vol restart: unless-stopped
volumes: wandb_data:
连接方式:
方式 B:环境变量(适合容器/批处理/CI)
通过 ray job的runtime_env来设置环境变量
export WANDB_BASE_URL=http://<服务器IP或域名>:8080 export WANDB_API_KEY=<你的API_KEY>
官方文档说明可以用 WANDB_BASE_URL + WANDB_API_KEY 代替 wandb login --host ..
verl配置:
在 verl 里打开 wandb(你只需要配 trainer)
verl 的配置里,最关键是这三个字段:trainer.logger、trainer.project_name、trainer.experiment_name。文档里也写了 logger 用于 console + tracking(tracking 会初始化 wandb)。 veRL Documentation +1
推荐写法(新版本):
trainer: logger: ["console", "wandb"] project_name: my_project # 用argus的用户名_project ,譬如 alice_project experiment_name: exp_001 # 用 task id 作为实验名