train.py: reporting the right variable

train.py

@@ -143,7 +143,7 @@ def validate(model, criterion, valset, iteration, batch_size, n_gpus,
     model.train()
     if rank == 0:
         print("Validation loss {}: {:9f}  ".format(iteration, reduced_val_loss))
-        logger.log_validation(reduced_val_loss, model, y, y_pred, iteration)
+        logger.log_validation(val_loss, model, y, y_pred, iteration)
 
 
 def train(output_directory, log_directory, checkpoint_path, warm_start, n_gpus,