Why is accuracy absent in training progress plot?

I do not see training accuracy as illustrated in the docs. My code for training initialization is below and resultant plot attached.

% 6. specify training options
options = trainingOptions('sgdm', ...
    BatchNormalizationStatistics = 'moving', ...
    ExecutionEnvironment = 'auto', ...
    GradientThreshold = 35, ...
    InitialLearnRate = 0.0005, ...
    LearnRateSchedule = 'piecewise', ...
    LearnRateDropFactor = 0.99, ...
    LearnRateDropPeriod = 1, ...
    MaxEpochs = 20, ...
    MiniBatchSize = 4, ...
    Momentum = 0.9, ...
    OutputNetwork = 'best-validation-loss', ...
    Plots = 'training-progress', ...
    ResetInputNormalization = false, ...
    ValidationData = validationDS, ...
    ValidationFrequency = 25, ...
    VerboseFrequency = 5);

[trainedModel, info] = trainSOLOV2(trainingDS, preTrainedModel, options, ...
    FreezeSubNetwork = "backbone", ExperimentMonitor = experiments.Monitor);

Answer 1

[Matt J]

Probably because the examples in the docs are for trainNetwork, not trainSOLOV2.