Skip to content

Fix: check TrainerState file exists before loading during resume #39599

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
Petecheco wants to merge 2 commits into from
Closed

Fix: check TrainerState file exists before loading during resume #39599

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
9ec50bc
fix: check TrainerState file exists before loading during resume
Petecheco Jul 23, 2025
268b9b9
Merge branch 'main' into fix_trainer_state_load_when_file_missing
Petecheco Jul 23, 2025
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
13 changes: 9 additions & 4 deletions src/transformers/trainer.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2208,10 +2208,15 @@ def train(
if not is_sagemaker_mp_enabled() and not self.is_deepspeed_enabled and not self.is_fsdp_enabled:
self._load_from_checkpoint(resume_from_checkpoint)
# In case of repeating the find_executable_batch_size, set `self._train_batch_size` properly
state = TrainerState.load_from_json(os.path.join(resume_from_checkpoint, TRAINER_STATE_NAME))
if state.train_batch_size is not None:
self._train_batch_size = state.train_batch_size

if os.path.isfile(os.path.join(resume_from_checkpoint, TRAINER_STATE_NAME)):
state = TrainerState.load_from_json(os.path.join(resume_from_checkpoint, TRAINER_STATE_NAME))
if state.train_batch_size is not None:
self._train_batch_size = state.train_batch_size
else:
logger.warning(
f"TrainerState file not found at {os.path.join(resume_from_checkpoint, TRAINER_STATE_NAME)}. "
"Training will continue, but batch size recovery is skipped. "
)
# If model was re-initialized, put it on the right device and update self.model_wrapped
if model_reloaded:
if self.place_model_on_device:
Expand Down