Validation Loss
Noun · AI & Machine Learning
Definitions
The loss measured on validation data rather than on training data, used to assess generalization during model development. Rising validation loss can signal overfitting even when training loss keeps improving.
In plain English: The loss measured on held-out validation data.
Example: "They stopped the run when validation loss began climbing despite steady improvement on the training split."