Same training results for each epoch using LSTM sequence to sequence

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Ismaeel
Ismaeel 2022-12-29
编辑： Ismaeel 2022-12-29
Dear all,
I am following the example given in:
https://www.mathworks.com/help/deeplearning/ug/sequence-to-sequence-regression-using-deep-learning.html
using different data but similar in structure to the one in the example.
The problem is when I train the data, the results for each epoch look the same (please see the picture attached).
I use the following setting options for training:
maxEpochs = 20;
miniBatchSize = 20;
options = trainingOptions('adam', ...
'MaxEpochs',maxEpochs, ...
'MiniBatchSize',miniBatchSize, ...
'InitialLearnRate',0.01, ...
'GradientThreshold',1, ...
'Shuffle','never', ...
'Plots','training-progress',...
'Verbose',0);
I use a single LSTM layer with 128 hidden units working on MATLAB R2022b.
Any advise or idea is really appreciated.
Thanks

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