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Weights & Biases Grouping
From your script, use grouping to organize individual runs into larger experiments. This is useful for distributed training and cross validation.
In wandb.init():
- group: the first level of organization, usually this is your unique experiment name
- job_type: the second level of grouping, this is often
train,eval,optimizer,rolloutetc.
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In this example, I'm setting the experiment index up front, and then incrementing it every time I re-run the cell below.
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