Weights & Biases (wandb) wandb: ERROR Invalid tag
Weights & Biases (wandb) wandb: ERROR Invalid tag
Understanding Weights & Biases (wandb)
Weights & Biases (wandb) is a powerful tool designed to help machine learning practitioners track and visualize their experiments. It provides a comprehensive suite of features for logging metrics, visualizing results, and collaborating with team members. By integrating wandb into your machine learning workflow, you can ensure that your experiments are reproducible and easily shareable.
Identifying the Symptom: Invalid Tag Error
While using wandb, you might encounter the error message: wandb: ERROR Invalid tag. This error typically appears when you attempt to log a tag that does not meet the required criteria set by wandb. Tags are used in wandb to categorize and filter experiments, making it easier to manage and retrieve specific runs.
Understanding the Issue: Invalid Tag
What Causes the Invalid Tag Error?
The Invalid tag error is triggered when a tag contains invalid characters or exceeds the maximum allowed length. Wandb requires tags to be alphanumeric and within a certain character limit to ensure consistency and prevent errors in data retrieval and display.
Common Mistakes Leading to the Error
- Using special characters or symbols in tags.
- Exceeding the character limit for a single tag.
- Using spaces instead of underscores or hyphens.
Steps to Fix the Invalid Tag Error
Step 1: Review Your Tags
First, examine the tags you are attempting to log. Ensure that each tag is alphanumeric and does not contain any special characters or spaces. For example, instead of using "experiment#1", use "experiment_1".
Step 2: Check the Length of Your Tags
Ensure that your tags do not exceed the character limit set by wandb. If a tag is too long, consider abbreviating it or splitting it into multiple tags. For instance, instead of "verylongexperimentname", use "long_exp_name".
Step 3: Update Your Code
Once you have reviewed and corrected your tags, update your code to reflect these changes. Here is an example of how to correctly log tags in wandb:
import wandb
wandb.init(project="my_project", tags=["experiment_1", "baseline"])
Additional Resources
For more information on using tags in wandb, refer to the official wandb documentation. If you continue to experience issues, consider reaching out to the wandb community for support.
Master
Weights & Biases (wandb)
debugging in Minutes
— Grab the Ultimate Cheatsheet
(Perfect for DevOps & SREs)
Weights & Biases (wandb)
Cheatsheet
(Perfect for DevOps & SREs)
MORE ISSUES
Backed by
