diff --git a/spacy/training/loop.py b/spacy/training/loop.py
index b63adb6c9..0d4414964 100644
--- a/spacy/training/loop.py
+++ b/spacy/training/loop.py
@@ -77,7 +77,7 @@ def train(
         log_step, finalize_logger = train_logger(nlp, stdout, stderr)
     try:
         for batch, info, is_best_checkpoint in training_step_iterator:
-            log_step(info if is_best_checkpoint else None)
+            log_step(info if is_best_checkpoint is not None else None)
             if is_best_checkpoint is not None and output_path is not None:
                 with nlp.select_pipes(disable=frozen_components):
                     update_meta(T, nlp, info)