> ## 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.

# Best practices to organize hyperparameter searches

When you run many hyperparameter searches, tag your runs so you can group and find related experiments later.

## Tag runs in your code

Pass unique tags when you initialize each run:

```python theme={null}
import wandb

with wandb.init(tags=["sweep-3", "lr-0.01"]) as run:
    # Your training code here
    pass
```

For more information about `wandb.init()`, see the [`wandb.init()` reference](/models/ref/python/functions/init) and [Add labels to runs with tags](/models/runs/tags).

## Filter tagged runs in the UI

1. Open your project and go to the **Runs** tab.
2. Click **Filter** above the runs table.
3. Choose **Tags**, select an operator such as `is` or `in`, and enter the tag you set in code.

See [Filter runs](/models/runs/filter-runs) for more filter options.

***

<Badge stroke shape="pill" color="orange" size="md">[Hyperparameter](/support/models/tags/hyperparameter)</Badge><Badge stroke shape="pill" color="orange" size="md">[Sweeps](/support/models/tags/sweeps)</Badge><Badge stroke shape="pill" color="orange" size="md">[Runs](/support/models/tags/runs)</Badge>