Experiment Tracking with Weights & Biases


In this tutorial, we show how to set up experiment tracking via Weights & Biases on Neuro Platform using Neuro Project Template.

Creating Neuro Project

To create a new Neuro project, run:

neuro project init
cd <project-slug>
make setup

Authenticating W&B

Register a W&B account (note: W&B offers free limited accounts for individual researchers, see W&B pricing policy). Then, download your API key on W&B settings page and save it to a local file ./config/wandb-token.txt (you can also use a different file name, but in this case you'd need to put the file name to the env var: export WANDB_SECRET_FILE=<file-name>).

Check that Neuro project detects the key file:

make wandb-check-auth

In case of success, this command should print something like: Weights & Biases will be authenticated via key file: '/project-path/config/wandb-token.txt'. Now, if you run a develop, train, or jupyter job, Neuro will authenticate W&B via your API key by running wandb login at job's startup.


Run a development job and connect to the job's shell:

export PRESET=cpu-small # to avoid consuming GPU for this test
make develop
make connect-develop

In your job's shell, try to use wandb:

wandb status

You should see something like:

Logged in? True
Current Settings
"anonymous": "false",
"base_url": "https://api.wandb.ai",
"entity": null,
"git_remote": "origin",
"ignore_globs": [],
"project": null,
"run": "latest",
"section": "default"

Please find a real-world example of W&B usage on Neuro Platform in our ML Recipe for Hierarchical Attention. You can also find other examples on how to use experiment tracking and other features of W&B in official W&B's examples repo.

To close remote terminal session, press ^D or type exit.

Please don't forget to terminate your job when you don't need it anymore:

make kill-develop