Machine Learning Intermediate
validation loss
A metric representing a model's loss on the validation set during a particular iteration of training.
Plain English Explanation
A metric representing a model's loss on the validation set during a particular iteration of training. See also generalization curve.
How is it used?
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.