diff --git a/examples/research_projects/wav2vec2/run_asr.py b/examples/research_projects/wav2vec2/run_asr.py
index ffb31d7739..f4c2561ccf 100755
--- a/examples/research_projects/wav2vec2/run_asr.py
+++ b/examples/research_projects/wav2vec2/run_asr.py
@@ -55,7 +55,10 @@ class ModelArguments:
         default=True, metadata={"help": "Whether to freeze the feature extractor layers of the model."}
     )
     gradient_checkpointing: Optional[bool] = field(
-        default=False, metadata={"help": "Whether to freeze the feature extractor layers of the model."}
+        default=False,
+        metadata={
+            "help": "If True, use gradient checkpointing to save memory at the expense of slower backward pass."
+        },
     )
     verbose_logging: Optional[bool] = field(
         default=False,
diff --git a/examples/research_projects/wav2vec2/run_pretrain.py b/examples/research_projects/wav2vec2/run_pretrain.py
index 02dee12953..f0ef04d181 100755
--- a/examples/research_projects/wav2vec2/run_pretrain.py
+++ b/examples/research_projects/wav2vec2/run_pretrain.py
@@ -51,7 +51,10 @@ class ModelArguments:
         default=True, metadata={"help": "Whether to freeze the feature extractor layers of the model."}
     )
     gradient_checkpointing: Optional[bool] = field(
-        default=False, metadata={"help": "Whether to freeze the feature extractor layers of the model."}
+        default=False,
+        metadata={
+            "help": "If True, use gradient checkpointing to save memory at the expense of slower backward pass."
+        },
     )
     verbose_logging: Optional[bool] = field(
         default=False,