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Log the right train_batch_size if using auto_find_batch_size and also log the adjusted value seperately. #23800

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merged 3 commits into from
May 26, 2023
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Log the right train_batch_size if using auto_find_batch_size and also log the adjusted value seperately. #23800

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Log right bs
muellerzr May 26, 2023
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muellerzr May 26, 2023
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muellerzr May 26, 2023
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3 changes: 2 additions & 1 deletion src/transformers/trainer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1704,6 +1704,7 @@ def _inner_training_loop(
self, batch_size=None, args=None, resume_from_checkpoint=None, trial=None, ignore_keys_for_eval=None
):
self._train_batch_size = batch_size
logger.debug(f"Currently training with a batch size of: {self._train_batch_size}")
# Data loader and number of training steps
train_dataloader = self.get_train_dataloader()

Expand Down Expand Up @@ -1811,7 +1812,7 @@ def _inner_training_loop(
logger.info("***** Running training *****")
logger.info(f" Num examples = {num_examples:,}")
logger.info(f" Num Epochs = {num_train_epochs:,}")
logger.info(f" Instantaneous batch size per device = {args.per_device_train_batch_size:,}")
logger.info(f" Instantaneous batch size per device = {self._train_batch_size:,}")
logger.info(f" Total train batch size (w. parallel, distributed & accumulation) = {total_train_batch_size:,}")
logger.info(f" Gradient Accumulation steps = {args.gradient_accumulation_steps}")
logger.info(f" Total optimization steps = {max_steps:,}")
Expand Down