Copy wandb param dict before training to avoid overwrites. #7317
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Copy the hyperparameter dict retrieved from wandb configuration before passing it to
train()
. Training overwrites parameters in the dictionary (eg scaling obj/box/cls gains), which causes the values reported in wandb to not match the input values. This is confusing as it makes it hard to reproduce a run, and also throws off wandb's Bayesian sweep algorithm.🛠️ PR Summary
Made with ❤️ by Ultralytics Actions
🌟 Summary
Improved stability in the Weights & Biases (wandb) sweeping process within YOLOv5 repo.
📊 Key Changes
hyp_dict
) from the wandb sweep agent to include a.copy()
operation.🎯 Purpose & Impact
train()
modifies parameters that could confuse wandb if the dictionary is not copied.