Weights & Biases (wandb) is a popular tool used by machine learning practitioners to track experiments, visualize results, and manage datasets. It provides a comprehensive suite of features for logging metrics, visualizing model performance, and collaborating with team members. By integrating wandb into your machine learning workflow, you can streamline the process of tracking and optimizing your models.
While using wandb, you might encounter the error message: wandb: ERROR Run not found. This error typically appears when you attempt to access a run that cannot be located in the wandb system. It can be frustrating, especially if you are trying to retrieve important experiment data.
The error wandb: ERROR Run not found indicates that the run ID you are trying to access does not exist in the wandb database. This can happen for several reasons:
First, ensure that the run ID you are using is correct. You can find the run ID in the wandb dashboard under the specific project you are working on. Double-check for any typographical errors.
Log into your wandb account and navigate to the project dashboard. Locate the run you are interested in and verify the run ID. Ensure that it matches the ID you are using in your code or command line.
If the run ID is correct, consider whether the run might have been deleted. Runs can be deleted manually or automatically based on retention policies. If a run is deleted, it cannot be recovered. For more information on retention policies, visit the wandb cleanup guide.
Ensure that your local environment is properly synchronized with the wandb server. You can do this by running the following command to sync any offline runs:
wandb sync
This command will attempt to upload any runs that have not been synchronized with the server.
Encountering the wandb: ERROR Run not found error can be a hurdle in your workflow, but by verifying the run ID, checking for deletions, and ensuring synchronization, you can resolve this issue. For further assistance, consider visiting the Weights & Biases community forum where you can ask questions and share insights with other users.
(Perfect for DevOps & SREs)
(Perfect for DevOps & SREs)
