Validation Accuracy Not Showing for trainFastR​CNNObjectD​etector

Hi,

I am currently using the following code and I have no idea why the validaton accuracy is not showing.

How to fix it?

valid_label=load('...\valid_label.mat');
dataValid=valid_label.gTruth
[validIMDS, validBXDS]=objectDetectorTrainingData(dataTrain)
validData=combine(validIMDS, validBXDS)

options = trainingOptions('sgdm', ...
    'MiniBatchSize', 1, ...
    'InitialLearnRate', 1e-3, ...
    'MaxEpochs', 10, ...
    'CheckpointPath', tempdir,...
    'ValidationData',validData, ...
    'ValidationFrequency',30, ...j
    'Plots','training-progress');
%% Train the model

frcnn S= trainFastRCNNObjectDetector(trainData, lgraph, options, ...
        'NegativeOverlapRange',[0 0.3], ...
        'PositiveOverlapRange',[0.6 1]);

[Shivam Singh]

Hello L,

Can you share your dataset (training and validation) and the full code, so that I can inspect clearly?