diff --git a/src/axolotl/core/trainer_builder.py b/src/axolotl/core/trainer_builder.py
index cfc412573..5418e53bd 100755
--- a/src/axolotl/core/trainer_builder.py
+++ b/src/axolotl/core/trainer_builder.py
@@ -1165,7 +1165,9 @@ class AxolotlDPOTrainer(SchedulerMixin, DPOTrainer):
         for key, metrics in self._stored_metrics[train_eval].items():
             logs[key] = torch.tensor(metrics).mean().item()
         del self._stored_metrics[train_eval]
-        return super().log(logs, start_time)
+        return super(DPOTrainer, self).log(  # pylint: disable=bad-super-call
+            logs, start_time
+        )
 
 
 class AxolotlORPOTrainer(SchedulerMixin, ORPOTrainer):
@@ -1183,7 +1185,9 @@ class AxolotlORPOTrainer(SchedulerMixin, ORPOTrainer):
         for key, metrics in self._stored_metrics[train_eval].items():
             logs[key] = torch.tensor(metrics).mean().item()
         del self._stored_metrics[train_eval]
-        return super().log(logs, start_time)
+        return super(ORPOTrainer, self).log(  # pylint: disable=bad-super-call
+            logs, start_time
+        )
 
 
 class AxolotlKTOTrainer(SchedulerMixin, KTOTrainer):
@@ -1228,7 +1232,9 @@ class AxolotlKTOTrainer(SchedulerMixin, KTOTrainer):
         for key, metrics in self._stored_metrics[train_eval].items():
             logs[f"{prefix}{key}"] = torch.Tensor(metrics).mean().item()
         del self._stored_metrics[train_eval]
-        return super().log(logs, start_time)
+        return super(KTOTrainer, self).log(  # pylint: disable=bad-super-call
+            logs, start_time
+        )
 
 
 class AxolotlCPOTrainer(SchedulerMixin, CPOTrainer):
@@ -1246,7 +1252,9 @@ class AxolotlCPOTrainer(SchedulerMixin, CPOTrainer):
         for key, metrics in self._stored_metrics[train_eval].items():
             logs[key] = torch.tensor(metrics).mean().item()
         del self._stored_metrics[train_eval]
-        return super().log(logs, start_time)
+        return super(CPOTrainer, self).log(  # pylint: disable=bad-super-call
+            logs, start_time
+        )
 
 
 class AxolotlRewardTrainer(SchedulerMixin, RewardTrainer):
@@ -1264,7 +1272,9 @@ class AxolotlRewardTrainer(SchedulerMixin, RewardTrainer):
         for key, metrics in self._stored_metrics[train_eval].items():
             logs[key] = torch.tensor(metrics).mean().item()
         del self._stored_metrics[train_eval]
-        return super().log(logs, start_time)
+        return super(RewardTrainer, self).log(  # pylint: disable=bad-super-call
+            logs, start_time
+        )
 
 
 class TrainerBuilderBase(abc.ABC):