How is one suppose to do custom logging in wandb especially with the x-axis?

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1

I feel I’ve discussed this with someone somewhere (perhaps a gitissue…can’t find it!) but I can’t find it and now I came back and can’t figure out why my wandb command looks the way it does:

        # - log to wandb
        if log_to_wandb:
            if it == 0:
                wandb.define_metric("train loss", step_metric=it_or_epoch)
                wandb.define_metric("train acc", step_metric=it_or_epoch)
                wandb.define_metric("val loss", step_metric=it_or_epoch)
                wandb.define_metric("val val", step_metric=it_or_epoch)
                # if mdl_watch_log_freq == -1:
                #     wandb.watch(args.base_model, args.criterion, log="all", log_freq=mdl_watch_log_freq)
            # - log to wandb
            wandb.log(data={it_or_epoch: it,  # custom step,
                            'train loss': train_loss,
                            'train acc': train_acc,
                            'val loss': val_loss,
                            'val acc': val_acc},
                            commit=True)
            # if it == total_its:  # not needed here, only needed for normal SL training
            #     wandb.finish()

can someone help me decipher what this was supposed to mean? Especially the commit option?

related:

2

Hi Brando,
It looks like it is logging steps to our UI. To know more about commit = True, look at this doc https://docs.wandb.ai/guides/track/log#stepwise-and-incremental-logging

Warmly,
Leslie

3

Hi there, I wanted to follow up on this request. Please let us know if we can be of further assistance or if your issue has been resolved.

4

Hi Brando, since we have not heard back from you we are going to close this request. If you would like to re-open the conversation, please let us know!

5

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