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Adding code to print stable_train_samples_per_second values #13

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Merged
amathews-amd merged 1 commit into from
May 11, 2022
Merged

Adding code to print stable_train_samples_per_second values #13

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11 changes: 11 additions & 0 deletions src/transformers/trainer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1373,6 +1373,7 @@ def train(
# AT THE VERY END!
_ = list(train_dataloader.sampler)

start_train_stable_time = 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 @@ -1402,6 +1403,9 @@ def train(
step = -1
for step, inputs in enumerate(epoch_iterator):

if (self.state.global_step == 10):
start_train_stable_time = time.time()

# Skip past any already trained steps if resuming training
if steps_trained_in_current_epoch > 0:
steps_trained_in_current_epoch -= 1
Expand Down Expand Up @@ -1549,6 +1553,11 @@ def train(
train_loss = self._total_loss_scalar / self.state.global_step

metrics = speed_metrics("train", start_time, num_samples=num_train_samples, num_steps=self.state.max_steps)

total_samples = args.max_steps*total_train_batch_size if args.max_steps > 0 else num_examples*num_train_epochs
perf_samples = total_samples - 10*total_train_batch_size
stable_train_metrics = speed_metrics("stable_train", start_train_stable_time, perf_samples)

self.store_flos()
metrics["total_flos"] = self.state.total_flos
metrics["train_loss"] = train_loss
Expand All @@ -1559,6 +1568,8 @@ def train(

self.log(metrics)

self.log(stable_train_metrics)

self.control = self.callback_handler.on_train_end(args, self.state, self.control)

return TrainOutput(self.state.global_step, train_loss, metrics)
Expand Down