diff --git a/kmath-noa/README.md b/kmath-noa/README.md
index 7bc3f6db4..b4c255ea2 100644
--- a/kmath-noa/README.md
+++ b/kmath-noa/README.md
@@ -139,7 +139,7 @@ class Loss(torch.nn.Module):
     def forward(self, x):
         return self.loss(x, self.target)
 
-# Generated TorchScript modules and serialise
+# Generate TorchScript modules and serialise them
 torch.jit.script(Data()).save('data.pt')
 torch.jit.script(Net()).save('net.pt')
 torch.jit.script(Loss(y_train)).save('loss.pt')
@@ -165,12 +165,12 @@ NoaFloat {
 
     // Set the model in training mode
     netModule.train(true)
-    // Loss function set for training regime
+    // Loss function for training 
     lossModule.setBuffer("target", yTrain)
 
     // Compute the predictions
     val yPred = netModule.forward(xTrain)
-    // Compute the training error
+    // Compute the training loss
     val loss = lossModule.forward(yPred)
     println(loss)
     
@@ -195,7 +195,7 @@ NoaFloat {
     // Finally validate the model 
     // Compute the predictions for the validation features
     netModule.forwardAssign(xVal, yPred)
-    // Set the loss for the true values
+    // Set the loss for validation 
     lossModule.setBuffer("target", yVal)
     // Compute the loss on validation dataset
     lossModule.forwardAssign(yPred, loss)