support galore

Former-commit-id: b67a4a46a88d83bb2a3459b3317b66cda15e0171

src/llmtuner/train/rm/workflow.py

@@ -7,10 +7,10 @@ from ...extras.callbacks import FixValueHeadModelCallback
 from ...extras.misc import fix_valuehead_checkpoint
 from ...extras.ploting import plot_loss
 from ...model import load_model, load_tokenizer
-from ...train.rm.collator import PairwiseDataCollatorWithPadding
-from ...train.rm.metric import compute_accuracy
-from ...train.rm.trainer import PairwiseTrainer
-from ...train.utils import create_modelcard_and_push
+from ..utils import create_custom_optimzer, create_modelcard_and_push
+from .collator import PairwiseDataCollatorWithPadding
+from .metric import compute_accuracy
+from .trainer import PairwiseTrainer
 
 
 if TYPE_CHECKING:
@@ -35,12 +35,14 @@ def run_rm(
     training_args.remove_unused_columns = False  # important for pairwise dataset
 
     # Initialize our Trainer
+    optimizer = create_custom_optimzer(model, training_args, finetuning_args)
     trainer = PairwiseTrainer(
         model=model,
         args=training_args,
         tokenizer=tokenizer,
         data_collator=data_collator,
         callbacks=callbacks + [FixValueHeadModelCallback()],
+        optimizers=(optimizer, None),
         compute_metrics=compute_accuracy,
         **split_dataset(dataset, data_args, training_args),
     )