> ## Documentation Index > Fetch the complete documentation index at: https://docs.wandb.ai/llms.txt > Use this file to discover all available pages before exploring further. # Runs When you run many hyperparameter searches, tag your runs so you can group and find related experiments later. Tag runs i ... A run can have multiple tags, so grouping by tags isn't supported. Instead, add a value to the config object for these r ... You can categorize runs by tags or custom metadata. To organize runs by these values, use the Group button in the projec ... To configure the frequency to log system metrics, set \_stats\_sampling\_interval to a number of seconds, expressed as a fl ... You can't change the colors of individual runs within a group. All runs in the same group share a common color. From the Runs tab in your Workspace, select the checkbox next to each run to delete, then click Delete. To filter runs b ... To disable logging of system metrics, set \_disable\_stats to True: To record a single, unchanging value such as a final evaluation accuracy, log it once with run.log. For example, run.log ... To add metrics to a run that has already finished, W\&B offers several approaches depending on the complexity of your wor ... Learn how to recover recently deleted runs in the W\&B App for up to 7 days. You can change the group assigned to a completed run using the API. This feature doesn't appear in the web UI. To update ... W\&B stores your script's stdout and stderr as output.log (or multipart chunks under logs/). Where to retrieve it depends ... If you see both CommError, Run does not exist and ERROR Error uploading during a sweep, the most likely cause is that yo ... If you encounter the error resume='must' but run ( RUN-ID ) doesn't exist, the run you're attempting to resume doesn't e ... You can log corpus-level NLP scores (BLEU, ROUGE, perplexity) with wandb.log() and per-example outputs with wandb.Table. ... wandb.watch() hooks into a PyTorch model's parameters and gradients and logs histograms of their values at regular inter ... To launch automated tests or internal tools that log to W\&B, create a Service Account on the team settings page. This ac ... You can move a run from one project to another to reorganize your work, consolidate related experiments, or relocate a r ... You can page through API result using the standard lazy-iterator pattern and per\_page parameter. Additionally, you can u ... If a grid search completes but some W\&B Runs crashed, delete those runs to rerun them. Then select the Resume button on ... Permission errors when logging a run typically indicate a mismatch between your code, your credentials, or your deployme ... You can set up alerts in and notifications using the W\&B Settings page. W\&B supports automated alerts in User Settings ( ... After a run finishes, use the Public API guide to edit config, display name, tags, and notes without re-running the expe ... W\&B has no JAX-specific integration. However, you can convert JAX device arrays to Python scalars and then use wandb.log ... The parallel coordinates chart shows how hyperparameters relate to metrics across many runs. Each line is one run; each ... For optimal performance, limit each project to approximately 10,000 runs. Export limits can prevent you from exporting the entire run history as a CSV or with the run.history API. To access the ... Workspace layout (panels, filters, grouping) persists only when you save a view. Unsaved changes stay in your browser se ... W\&B captures your script's stdout and stderr and stores it as output.log on the run's Files tab. By default, that file u ... Slow wandb.init() or sluggish metric uploads are usually caused by network latency, large media payloads, high logging f ... W\&B marks a run as Crashed when it stops receiving heartbeats from the process that called wandb.init(), without the pro ...