> ## Documentation Index
> Fetch the complete documentation index at: https://wb-21fd5541-docs-1917.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Can I log metrics on two different time scales?

For example, I want to log training accuracy per batch and validation accuracy per epoch.

Yes, log indices like `batch` and `epoch` alongside your metrics. Use `wandb.Run.log()({'train_accuracy': 0.9, 'batch': 200})` in one step and `wandb.Run.log()({'val_accuracy': 0.8, 'epoch': 4})` in another. In the UI, set the desired value as the x-axis for each chart. To set a default x-axis for a specific index, use [Run.define\_metric()](/models/ref/python/experiments/run#define_metric). For the example provided, use the following code:

```python theme={null}
import wandb

with wandb.init() as run:
   run.define_metric("batch")
   run.define_metric("epoch")

   run.define_metric("train_accuracy", step_metric="batch")
   run.define_metric("val_accuracy", step_metric="epoch")
```

***

<Badge stroke shape="pill" color="orange" size="md">[Experiments](/support/models/tags/experiments)</Badge><Badge stroke shape="pill" color="orange" size="md">[Metrics](/support/models/tags/metrics)</Badge>