I am training an RL algorithm for LLM post-training and would like to track the training process using Weights & Biases.
However, in my company environment, I am not allowed to send any data to external servers for security reasons. Because of this, I tried using W&B in offline mode.
Here is how I initialize it:
wandb.init(mode="offline", project="PPO", name="LLM_run_1")
Unfortunately, this setup does not seem to work as expected, and I am unable to properly track or visualize my runs.
Could you please clarify:
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How to correctly use W&B in a fully offline environment?
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Whether there is a way to visualize runs locally without syncing to the cloud?
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Or if there are recommended best practices for this use case?
Any guidance would be appreciated. Thank you!