diff --git a/src/together/resources/finetune.py b/src/together/resources/finetune.py
index 715a8225..da517afa 100644
--- a/src/together/resources/finetune.py
+++ b/src/together/resources/finetune.py
@@ -20,7 +20,7 @@
     TrainingType,
 )
 from together.types.finetune import DownloadCheckpointType
-from together.utils import log_warn, normalize_key
+from together.utils import log_warn_once, normalize_key
 
 
 class FineTuning:
@@ -77,6 +77,12 @@ def create(
             FinetuneResponse: Object containing information about fine-tuning job.
         """
 
+        if batch_size == "max":
+            log_warn_once(
+                "Since 1.3.0, batch size is automatically set to max. "
+                "This behavior can be disabled by setting the `batch_size` parameter to an integer value."
+            )
+
         requestor = api_requestor.APIRequestor(
             client=self._client,
         )
diff --git a/src/together/utils/_log.py b/src/together/utils/_log.py
index 5efe51cf..23abe210 100644
--- a/src/together/utils/_log.py
+++ b/src/together/utils/_log.py
@@ -13,6 +13,8 @@
 
 TOGETHER_LOG = os.environ.get("TOGETHER_LOG")
 
+WARNING_MESSAGES_ONCE = set()
+
 
 def _console_log_level() -> str | None:
     if together.log in ["debug", "info"]:
@@ -59,3 +61,11 @@ def log_warn(message: str | Any, **params: Any) -> None:
     msg = logfmt(dict(message=message, **params))
     print(msg, file=sys.stderr)
     logger.warn(msg)
+
+
+def log_warn_once(message: str | Any, **params: Any) -> None:
+    msg = logfmt(dict(message=message, **params))
+    if msg not in WARNING_MESSAGES_ONCE:
+        print(msg, file=sys.stderr)
+        logger.warn(msg)
+        WARNING_MESSAGES_ONCE.add(msg)