diff --git a/source/Rbm.cpp b/source/Rbm.cpp
index 775a4c2..b4d7332 100644
--- a/source/Rbm.cpp
+++ b/source/Rbm.cpp
@@ -59,11 +59,12 @@ Json::Value Rbm::toJson() const
 
 void Rbm::train(const arma::mat& batch, size_t miniBatchSize, size_t numEpochs, IListener* pListener)
 {
+	Status status;
 	size_t epoch;
 	size_t gibbs;
 
 	size_t trainingSize = batch.n_rows;
-	size_t trainingSizeRemain = trainingSize;
+	status.trainingSizeRemain = trainingSize;
 	size_t batchRowIndex = 0;
 	
 	double dProgress = 1.0/trainingSize;
@@ -76,15 +77,16 @@ void Rbm::train(const arma::mat& batch, size_t miniBatchSize, size_t numEpochs,
 	arma::mat momentum_bias_h(arma::zeros(1, m_w.n_cols));
 	arma::mat penalty_weights = arma::zeros(m_w.n_rows, m_w.n_cols);
 	
-	Status status;
-	
-	status.progress = 0;
-	while (trainingSizeRemain)
+	if (pListener)
 	{
-		status.trainingSizeRemain = trainingSizeRemain;
-		size_t miniBatchSizeActual = std::min(miniBatchSize, trainingSizeRemain);
+		pListener->onProgress(status);
+	}
+
+	while (status.trainingSizeRemain)
+	{
+		size_t miniBatchSizeActual = std::min(miniBatchSize, status.trainingSizeRemain);
 		arma::mat miniBatch = batch.rows(batchRowIndex, batchRowIndex+miniBatchSizeActual-1);
-		trainingSizeRemain -= miniBatchSizeActual;
+		status.trainingSizeRemain -= miniBatchSizeActual;
 		batchRowIndex += miniBatchSizeActual;
 		double learning_rate = m_params.learningRate/std::min(miniBatchSizeActual, trainingSize);
 		double weight_decay = m_params.weightDecay/std::min(miniBatchSizeActual, trainingSize);
diff --git a/source/Rbm.hpp b/source/Rbm.hpp
index d72df94..0671f43 100644
--- a/source/Rbm.hpp
+++ b/source/Rbm.hpp
@@ -81,6 +81,16 @@ public:
 
 	struct Status
 	{
+		Status()
+		: epoch(0)
+		, trainingSizeRemain(0)
+		, progress(0)
+		, err(-1.0)
+		, err_total(1-0)
+		, L1(-1.0)
+		, L2(-1.0)
+		{
+		}
 		size_t epoch;
 		size_t trainingSizeRemain;
 		double progress;