I am following the example listed on this page ResNet 50 to train a custom classifier and inspect the outcome with ClassifierMeasurements. My training set has 443 images from more than 30 classes. The training with NetTrain progresses smoothly and results in a NetTrainResultsObject. When I try to call in the trained net with ClassifierMeasurements to compute accuracy the code returns a lot of errors.
ClassifierMeasurements[trainedNetIncV1["TrainedNet"], testingSet, "Accuracy"]
I am using v 12.2.0 on a linux box with GPU. This code has worked in the past with v12.1. PacletInstall["NeuralNetworks"] reports that I am running v 12.2.14 which seems to be the latest. I am not sure if something has changed between the versions specific to this task. I appreciate any help that can be provided.