diff --git a/examples/pytorch/translation/run_translation.py b/examples/pytorch/translation/run_translation.py
index 4d03cbf49c..a519fa1753 100755
--- a/examples/pytorch/translation/run_translation.py
+++ b/examples/pytorch/translation/run_translation.py
@@ -119,12 +119,12 @@ class DataTrainingArguments:
     validation_file: Optional[str] = field(
         default=None,
         metadata={
-            "help": "An optional input evaluation data file to evaluate the metrics (sacreblue) on a jsonlines file."
+            "help": "An optional input evaluation data file to evaluate the metrics (sacrebleu) on a jsonlines file."
         },
     )
     test_file: Optional[str] = field(
         default=None,
-        metadata={"help": "An optional input test data file to evaluate the metrics (sacreblue) on a jsonlines file."},
+        metadata={"help": "An optional input test data file to evaluate the metrics (sacrebleu) on a jsonlines file."},
     )
     overwrite_cache: bool = field(
         default=False, metadata={"help": "Overwrite the cached training and evaluation sets"}
diff --git a/examples/pytorch/translation/run_translation_no_trainer.py b/examples/pytorch/translation/run_translation_no_trainer.py
index 914181511b..0054526f1e 100644
--- a/examples/pytorch/translation/run_translation_no_trainer.py
+++ b/examples/pytorch/translation/run_translation_no_trainer.py
@@ -695,7 +695,7 @@ def main():
         if args.with_tracking:
             accelerator.log(
                 {
-                    "blue": eval_metric["score"],
+                    "bleu": eval_metric["score"],
                     "train_loss": total_loss.item() / len(train_dataloader),
                     "epoch": epoch,
                     "step": completed_steps,