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[trainer] fix bug in grad accum with multiple epochs #22098

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Merged
stas00 merged 4 commits into from
Mar 13, 2023
Merged

[trainer] fix bug in grad accum with multiple epochs #22098

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9c288f0
[trainer] fix bug in grad accum
stas00 Mar 11, 2023
5309f99
comment out debug
stas00 Mar 11, 2023
7dbdb86
fix one-off
stas00 Mar 11, 2023
2d0b532
rename counter
stas00 Mar 13, 2023
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6 changes: 4 additions & 2 deletions src/transformers/trainer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1831,6 +1831,7 @@ def _inner_training_loop(
# AT THE VERY END!
_ = list(train_dataloader.sampler)

total_batched_samples = 0
for epoch in range(epochs_trained, num_train_epochs):
if isinstance(train_dataloader, DataLoader) and isinstance(train_dataloader.sampler, DistributedSampler):
train_dataloader.sampler.set_epoch(epoch)
Expand Down Expand Up @@ -1867,6 +1868,7 @@ def _inner_training_loop(

step = -1
for step, inputs in enumerate(epoch_iterator):
total_batched_samples += 1
if rng_to_sync:
self._load_rng_state(resume_from_checkpoint)
rng_to_sync = False
Expand All @@ -1887,7 +1889,7 @@ def _inner_training_loop(
self.control = self.callback_handler.on_step_begin(args, self.state, self.control)

if (
((step + 1) % args.gradient_accumulation_steps != 0)
(total_batched_samples % args.gradient_accumulation_steps != 0)
and args.local_rank != -1
and args._no_sync_in_gradient_accumulation
):
Expand All @@ -1913,7 +1915,7 @@ def _inner_training_loop(
if self.deepspeed:
self.deepspeed.step()

if (step + 1) % args.gradient_accumulation_steps == 0 or (
if total_batched_samples % args.gradient_accumulation_steps == 0 or (
# last step in epoch but step is always smaller than gradient_accumulation_steps
steps_in_epoch <= args.gradient_accumulation_steps
and (step + 1) == steps_in_epoch
Expand Down