> ## 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.

# Can I resume a run inside a sweep?

Run resumption is not supported inside a W\&B sweep. If you pass a `run_id` or use `wandb.init(resume=...)` while a sweep agent is running, W\&B ignores the run ID and starts a fresh run instead. You will see the following warning:

```
wandb: WARNING Ignoring run_id 'YOUR_RUN_ID' when running a sweep.
```

This is expected behavior, not a bug. Sweep agents are designed to launch independent runs for each hyperparameter configuration. Resuming a specific run would conflict with the sweep controller's job scheduling.

**Workarounds**

If you need fault tolerance for long sweep runs, consider these approaches:

* **Checkpoint and reload within a single run**: Save model checkpoints at regular intervals inside your training function. On restart, load the latest checkpoint at the beginning of `train()`. The sweep starts a new run, but training picks up from the saved state.

* **Use `--count 1` on SLURM with requeue**: Submit each sweep agent job with `wandb agent --count 1 SWEEP_ID`. If the job is preempted, SLURM can requeue it and the sweep controller will assign a new configuration.

* **Mark a run as failed and requeue manually**: If a run crashes mid-way, the sweep controller will eventually mark it as failed and may assign the same configuration to a new agent depending on your sweep settings.

If you need to continue an interrupted training job outside of a sweep, use `wandb.init(resume="allow", id="YOUR_RUN_ID")` in a standalone script instead. See [Resume runs](/models/runs/resuming) and [Troubleshoot sweeps](/models/sweeps/troubleshoot-sweeps).

***

<Badge stroke shape="pill" color="orange" size="md">[Sweeps](/support/models/tags/sweeps)</Badge><Badge stroke shape="pill" color="orange" size="md">[Resuming](/support/models/tags/resuming)</Badge>