diff --git a/neuralNetwork.c b/neuralNetwork.c
index e4ed1d6..969cb27 100644
--- a/neuralNetwork.c
+++ b/neuralNetwork.c
@@ -133,7 +133,6 @@ NeuralNetwork loadModel(const char *path)
 
             while(inputDimension > 0 && outputDimension > 0)
             {
-				printf("\nID: %d, OD: %d\n", inputDimension, outputDimension);
                 Layer layer = readLayer(file, inputDimension, outputDimension);
                 Layer *layerBuffer = NULL;
 
@@ -156,7 +155,6 @@ NeuralNetwork loadModel(const char *path)
 
                 model.layers[model.numberOfLayers] = layer;
                 model.numberOfLayers++;
-				printf("\nNumber of Layers is now: %d\n", model.numberOfLayers);
                 inputDimension = outputDimension;
                 outputDimension = readDimension(file);
             }
diff --git a/neuralNetworkTests.c b/neuralNetworkTests.c
index d210113..3f356aa 100644
--- a/neuralNetworkTests.c
+++ b/neuralNetworkTests.c
@@ -14,7 +14,7 @@ static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
 		printf("Failed to open file");
 		return;
 	}
-
+	printf("\nLayers in pNNF: %d\n", nn.numberOfLayers);
 	const char* header = "__info2_neural_network_file_format__";
 	fwrite(header, sizeof(const char), strlen(header), file);
 
@@ -48,6 +48,7 @@ void test_loadModelReturnsCorrectNumberOfLayers(void)
     Layer layers[] = {{.weights=weights1, .biases=biases1}, {.weights=weights2, .biases=biases2}};
 
     NeuralNetwork expectedNet = {.layers=layers, .numberOfLayers=2};
+	printf("\nexpectedNetLayers: %d", expectedNet.numberOfLayers);
     NeuralNetwork netUnderTest;
 
     prepareNeuralNetworkFile(path, expectedNet);