Getting error in CNN LSTM code?

Consider 144 speech files.

Error using trainNetwork (line 165)

Invalid training data. X and Y must have the same number of observations.

Error in Untitled (line 50)

net = trainNetwork(f,labelsTrain1,lgraph,options);

code:

clc
clear all
close all
for i=1:60
A=rand(50,32)
f(:,:,1,i)=A
end

wLabels1 = repelem(categorical("class-1"),10,1);
wLabels2 = repelem(categorical("class-2"),10,1);
wLabels3 = repelem(categorical("class-3"),10,1);
wLabels4 = repelem(categorical("class-4"),10,1);
wLabels5 = repelem(categorical("class-5"),10,1);
wLabels6 = repelem(categorical("class-6"),10,1);

labelsTrain1=[wLabels1;wLabels2;wLabels3;wLabels4;wLabels5;wLabels6]

inputSize = [50 32 1];
filterSize = 5;
numFilters = 20;
numHiddenUnits = 200;
numClasses = 6;

layers = [ ...
    sequenceInputLayer(inputSize,'Name','input')
    
    sequenceFoldingLayer('Name','fold')
    
    convolution2dLayer(filterSize,numFilters,'Name','conv')
    batchNormalizationLayer('Name','bn')
    reluLayer('Name','relu')
    
    sequenceUnfoldingLayer('Name','unfold')
    flattenLayer('Name','flatten')
    
    lstmLayer(numHiddenUnits,'Name','lstm')
    
    fullyConnectedLayer(numClasses, 'Name','fc')
    softmaxLayer('Name','softmax')
    classificationLayer('Name','classification')];

lgraph = layerGraph(layers);
lgraph = connectLayers(lgraph,'fold/miniBatchSize','unfold/miniBatchSize');
options = trainingOptions('sgdm', ...
    'MaxEpochs',20,...
    'InitialLearnRate',1e-4, ...
    'Verbose',false, ...
    'Plots','training-progress');

net = trainNetwork(f,labelsTrain1,lgraph,options);