フィルターのクリア

Why is accuracy absent in training progress plot?

1 回表示 (過去 30 日間)
Kevin Willeford
Kevin Willeford 2023 年 9 月 26 日
回答済み: Matt J 2023 年 9 月 26 日
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);

回答 (1 件)

Matt J
Matt J 2023 年 9 月 26 日
Probably because the examples in the docs are for trainNetwork, not trainSOLOV2.

カテゴリ

Help Center および File ExchangeSequence and Numeric Feature Data Workflows についてさらに検索

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by