Skip to content
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
21 changes: 16 additions & 5 deletions swift/trainers/rlhf_trainer/ppo_trainer.py
Original file line number Diff line number Diff line change
Expand Up @@ -3,8 +3,6 @@
from contextlib import contextmanager
from typing import Optional

import transformers
from packaging import version
from torch.utils.data import DataLoader
from transformers import PreTrainedModel, Trainer
from trl import PPOTrainer as HFPPOTrainer
Expand Down Expand Up @@ -38,8 +36,14 @@ def __init__(self, model: PreTrainedModel, ref_model: PreTrainedModel, *_args, *
with self._patch_dataloader(kwargs['data_collator']):
new_kwargs = {
k: v
for k, v in kwargs.items()
if k in ['train_dataset', 'data_collator', 'reward_model', 'value_model', 'eval_dataset', 'callbacks']
for k, v in kwargs.items() if k in [
'train_dataset',
'data_collator',
'reward_model',
'value_model',
'eval_dataset',
'callbacks',
]
}
parameters = inspect.signature(ppo_trainer_init).parameters
if 'config' in parameters:
Expand All @@ -63,7 +67,14 @@ def train(self, *args, **kwargs):

def _save_checkpoint(self, *args, **kwargs):
kwargs.pop('metrics', None)
return super()._save_checkpoint(*args, **kwargs)

backup_model = self.model
try:
# Unwrap model if needed
self.model = self.accelerator.unwrap_model(self.model)
return super()._save_checkpoint(*args, **kwargs)
finally:
self.model = backup_model

def save_model(self, output_dir: Optional[str] = None, _internal_call: bool = False):
# https://github.com/huggingface/trl/issues/2122
Expand Down
Loading