diff --git a/tuning/sft_trainer.py b/tuning/sft_trainer.py
index 2eb53cc9c..5abd2e294 100644
--- a/tuning/sft_trainer.py
+++ b/tuning/sft_trainer.py
@@ -26,7 +26,7 @@
 from tuning.data import tokenizer_data_utils
 from tuning.utils.config_utils import get_hf_peft_config
 from tuning.utils.data_type_utils import get_torch_dtype
-from tuning.tracker.tracker import Tracker
+from tuning.tracker.tracker import Tracker, get_tracker
 from tuning.tracker.aimstack_tracker import AimStackTracker
 
 logger = logging.get_logger("sft_trainer")
@@ -92,7 +92,7 @@ def train(
         Union[peft_config.LoraConfig, peft_config.PromptTuningConfig]
     ] = None,
     callbacks: Optional[List[TrainerCallback]] = None,
-    tracker: Optional[Tracker] = None,
+    tracker: Optional[Tracker] = Tracker() # default tracker is dummy tracker
 ):
     """Call the SFTTrainer
 
@@ -285,6 +285,11 @@ def main(**kwargs):
         choices=["pt", "lora", None, "none"],
         default="pt",
     )
+    parser.add_argument(
+        "--extra_metadata",
+        type=str,
+        default=None,
+    )
     (
         model_args,
         data_args,
@@ -311,14 +316,7 @@ def main(**kwargs):
         tracker_config=None
 
     # Initialize the tracker early so we can calculate custom metrics like model_load_time.
-    tracker_name = training_args.tracker
-    if tracker_name == 'aim':
-        if tracker_config is not None:
-            tracker = AimStackTracker(tracker_config)
-        else:
-            logger.error("Tracker name is set to "+tracker_name+" but config is None.")
-    else:
-        tracker = Tracker()
+    tracker = get_tracker(tracker_name, tracker_config)
 
     # Initialize callbacks
     file_logger_callback = FileLoggingCallback(logger)
@@ -329,6 +327,14 @@ def main(**kwargs):
     if tracker_callback is not None:
         callbacks.append(tracker_callback)
 
+    # track extra metadata
+    if additional.extra_metadata is not None:
+        try:
+            metadata = json.loads(additional.extra_metadata)
+            tracker.track_metadata(metadata)
+        except:
+            logger.error("failed while parsing extra metadata. pass a valid json")
+
     train(model_args, data_args, training_args, tune_config, callbacks, tracker)
 
 if __name__ == "__main__":
diff --git a/tuning/tracker/tracker.py b/tuning/tracker/tracker.py
index d0f26bdac..013b082dd 100644
--- a/tuning/tracker/tracker.py
+++ b/tuning/tracker/tracker.py
@@ -1,5 +1,7 @@
 # Generic Tracker API
 
+from tuning.tracker.aimstack_tracker import AimStackTracker
+
 class Tracker:
     def __init__(self, tracker_config) -> None:
         self.config = tracker_config
@@ -8,4 +10,20 @@ def get_hf_callback():
         return None
 
     def track(self, metric, name, stage):
-        pass
\ No newline at end of file
+        pass
+
+    # Metadata passed here is supposed to be a KV object
+    # Key being the name and value being the metric to track.
+    def track_metadata(self, metadata=None):
+        if metadata is None or not isinstance(metadata, dict):
+            return
+        for k, v in metadata.items():
+            self.track(name=k, metric=v)
+
+def get_tracker(tracker_name, tracker_config):
+    if tracker_name == 'aim':
+        if tracker_config is not None:
+            tracker = AimStackTracker(tracker_config)
+    else:
+        tracker = Tracker()
+    return tracker
\ No newline at end of file