diff --git a/turbo_alignment/common/tf/callbacks/logging.py b/turbo_alignment/common/tf/callbacks/logging.py
index 1ad484d..c72ebc6 100755
--- a/turbo_alignment/common/tf/callbacks/logging.py
+++ b/turbo_alignment/common/tf/callbacks/logging.py
@@ -46,9 +46,6 @@ def _rewrite_logs(logs: dict[str, Any]) -> dict[str, Any]:
         cherry_pick_prefix = 'cherry_pick_'
         cherry_pick_prefix_len = len(cherry_pick_prefix)
         for k, v in logs.items():
-            if isinstance(v, pd.DataFrame):
-                v = wandb.Table(dataframe=v)
-
             if k.startswith(eval_prefix):
                 rewritten_logs['eval/' + k[eval_prefix_len:]] = v
             elif k.startswith(test_prefix):
@@ -69,9 +66,15 @@ def __init__(self, wandb_run: Run | RunDisabled) -> None:
         self._wandb_run = wandb_run
 
     def _log(self, logs: dict[str, Any], state: TrainerState) -> None:
-        rewritten_logs: dict[str, Any] = self._rewrite_logs(logs)
+        rewritten_logs = self._fix_table_type(self._rewrite_logs(logs))
         self._wandb_run.log({**rewritten_logs, 'train/global_step': state.global_step}, step=state.global_step)
 
+    def _fix_table_type(self, logs: dict[str, Any]) -> dict[str, Any]:
+        return {
+            k: wandb.Table(dataframe=v) if isinstance(v, pd.DataFrame) else v
+            for k, v in logs.items()
+        }
+
 
 class ClearMLLoggingCallback(LoggingCallback):
     def __init__(self, clearml_task: Task) -> None: