diff --git a/train.py b/train.py
index 33a274d..8464863 100644
--- a/train.py
+++ b/train.py
@@ -586,7 +586,7 @@ def main(args):  # pylint: disable=redefined-outer-name
             model.decoder.set_r(r)
             if c.bidirectional_decoder:
                 model.decoder_backward.set_r(r)
-        print("\n > Number of output frames:", model.decoder.r)
+            print("\n > Number of output frames:", model.decoder.r)
 
         train_avg_loss_dict, global_step = train(model, criterion, optimizer,
                                                  optimizer_st, scheduler, ap,
diff --git a/utils/console_logger.py b/utils/console_logger.py
index 789dc78..ec3f50c 100644
--- a/utils/console_logger.py
+++ b/utils/console_logger.py
@@ -62,10 +62,11 @@ class ConsoleLogger():
         print(log_text, flush=True)
 
     def print_eval_start(self):
-        print(f"{tcolors.BOLD} > EVALUATION {tcolors.ENDC}\n")
+        print(f"{tcolors.BOLD} > EVALUATION {tcolors.ENDC}")
 
     def print_eval_step(self, step, loss_dict, avg_loss_dict):
         indent = "     | > "
+        print()
         log_text = f"{tcolors.BOLD}   --> STEP: {step}{tcolors.ENDC}\n"
         for key, value in loss_dict.items():
             # print the avg value if given
@@ -77,7 +78,7 @@ class ConsoleLogger():
 
     def print_epoch_end(self, epoch, avg_loss_dict):
         indent = "     | > "
-        log_text = "  {}--> EVAL PERFORMANCE{}\n".format(
+        log_text = "\n  {}--> EVAL PERFORMANCE{}\n".format(
             tcolors.BOLD, tcolors.ENDC)
         for key, value in avg_loss_dict.items():
             # print the avg value if given