diff --git a/sm-model/main.py b/sm-model/main.py
index 140bdf7..2f6cefb 100644
--- a/sm-model/main.py
+++ b/sm-model/main.py
@@ -126,7 +126,7 @@ if __name__ == "__main__":
         if args.debugSingleBatch: sys.exit(0)
         dev_accuracy, dev_scores = trainer.test(args.dataset_folder, 'clean-dev', args.batch_size, cache_file)
         dev_map, dev_mrr = compute_map_mrr(args.dataset_folder, 'clean-dev', dev_scores)
-        logger.info("MAP {}, MRR {}".format(dev_map, dev_mrr))
+        logger.info("MAP {}\nMRR {}".format(dev_map, dev_mrr))
 
         if np.fabs(dev_map - best_map) > 1e-3:            
             best_model = i
@@ -148,6 +148,6 @@ if __name__ == "__main__":
     logger.info('Test set accuracy = {:.4f}'.format(test_accuracy))
 
     map, mrr = compute_map_mrr(args.dataset_folder, 'clean-test', test_scores)
-    logger.info("MAP {}, MRR {}".format(map, mrr))
+    logger.info("MAP {}\nMRR {}".format(map, mrr))
 
     
diff --git a/sm-model/train.py b/sm-model/train.py
index 3bd2ffc..3ddab13 100644
--- a/sm-model/train.py
+++ b/sm-model/train.py
@@ -150,6 +150,8 @@ class Trainer(object):
 
 
     def train(self, dataset_folder, set_folder, batch_size, word_vectors_cache_file, debugSingleBatch):
+        train_start_time = time.time()
+
         # read in training data
         questions, sentences, labels, vocab, maxlen_q, maxlen_s, ext_feats = \
                 utils.read_in_dataset(dataset_folder, set_folder)
@@ -193,6 +195,7 @@ class Trainer(object):
         logger.info('train_loss = {:.4f}'.format(
             train_loss/num_batches
         ))
+        logger.info('training time = {:.3f} seconds'.format(time.time() - train_start_time))
         return train_correct/num_batches