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@pcuenca pcuenca commented Feb 21, 2022

Upload is controlled by a new option logger/wandb/log_model. When
enabled, model files are uploaded to W&B as artifacts attached to the
current run, at the frequency specified by save_checkpoint_freq.

I'm using this feature for several purposes:

  • Centralized storage of models being trained in various locations.
  • Decoupling of training and testing. I usually upload models as training
    progresses, while a job running in a different computer downloads them
    and performs arbitrary metrics / evaluation tasks.

Upload is controlled by a new option `logger`/`wandb`/`log_model`. When
enabled, model files are uploaded to W&B as artifacts attached to the
current run, at the frequency specified by `save_checkpoint_freq`.

I'm using this feature for several purposes:
- Centralized storage of models being trained in various locations.
- Decoupling of training and testing. I usually upload models as training
progresses, while a job running in a different computer downloads them
and performs arbitrary metrics / evaluation tasks.
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