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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.

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(). For the example provided, use the following code: 
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")
Experiments Metrics