What is a validation loss?
A metric representing a model's loss on the validation set during a particular iteration of training.
validation loss explained in plain English
A metric representing a model's loss on the validation set during a particular iteration of training. See also generalization curve.
Example
Practitioners refer to validation loss when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
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