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If you want to save the best checkpoints of the validation set for the training process, you can set the save_best parameter. If set to 'auto', the current checkpoint are judged to be best based on the first evaluation metric of the validation set (the evaluation metrics returned by evaluator are an ordered dictionary). (Copied from https://mmengine.readthedocs.io/en/latest/tutorials/hook.html#checkpointhook )
📚 The doc issue
What parameters are supported by save best
Suggest a potential alternative/fix
No response
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