fix #5747

src/llamafactory/train/rm/trainer.py

@@ -25,6 +25,7 @@ from transformers import Trainer
 from typing_extensions import override
 
 from ...extras.logging import get_logger
+from ...extras.packages import is_transformers_version_equal_to_4_46
 from ..callbacks import FixValueHeadModelCallback, PissaConvertCallback, SaveProcessorCallback
 from ..trainer_utils import create_custom_optimizer, create_custom_scheduler
 
@@ -79,7 +80,7 @@ class PairwiseTrainer(Trainer):
 
     @override
     def compute_loss(
-        self, model: "PreTrainedModel", inputs: Dict[str, "torch.Tensor"], return_outputs: bool = False
+        self, model: "PreTrainedModel", inputs: Dict[str, "torch.Tensor"], return_outputs: bool = False, **kwargs
     ) -> Union["torch.Tensor", Tuple["torch.Tensor", List["torch.Tensor"]]]:
         r"""
         Computes pairwise loss. The first n examples are chosen and the last n examples are rejected.
@@ -98,6 +99,10 @@ class PairwiseTrainer(Trainer):
         chosen_scores, rejected_scores = chosen_scores.squeeze(), rejected_scores.squeeze()
 
         loss = -torch.nn.functional.logsigmoid(chosen_scores.float() - rejected_scores.float()).mean()
+
+        if kwargs.pop("num_items_in_batch", False) and is_transformers_version_equal_to_4_46():
+            loss /= self.args.gradient_accumulation_steps  # fixes the loss value for transformers 4.46.0
+
         if return_outputs:
             return loss, (loss, chosen_scores, rejected_scores)
         else: