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Don't compute metrics in LM examples on TPU #16029

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merged 1 commit into from
Mar 10, 2022
Merged

Don't compute metrics in LM examples on TPU #16029

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7 changes: 5 additions & 2 deletions examples/pytorch/language-modeling/run_clm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,7 @@
Trainer,
TrainingArguments,
default_data_collator,
is_torch_tpu_available,
set_seed,
)
from transformers.testing_utils import CaptureLogger
Expand Down Expand Up @@ -479,8 +480,10 @@ def compute_metrics(eval_preds):
tokenizer=tokenizer,
# Data collator will default to DataCollatorWithPadding, so we change it.
data_collator=default_data_collator,
compute_metrics=compute_metrics if training_args.do_eval else None,
preprocess_logits_for_metrics=preprocess_logits_for_metrics if training_args.do_eval else None,
compute_metrics=compute_metrics if training_args.do_eval and not is_torch_tpu_available() else None,
preprocess_logits_for_metrics=preprocess_logits_for_metrics
if training_args.do_eval and not is_torch_tpu_available()
else None,
)

# Training
Expand Down
7 changes: 5 additions & 2 deletions examples/pytorch/language-modeling/run_mlm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,7 @@
HfArgumentParser,
Trainer,
TrainingArguments,
is_torch_tpu_available,
set_seed,
)
from transformers.trainer_utils import get_last_checkpoint
Expand Down Expand Up @@ -513,8 +514,10 @@ def compute_metrics(eval_preds):
eval_dataset=eval_dataset if training_args.do_eval else None,
tokenizer=tokenizer,
data_collator=data_collator,
compute_metrics=compute_metrics if training_args.do_eval else None,
preprocess_logits_for_metrics=preprocess_logits_for_metrics if training_args.do_eval else None,
compute_metrics=compute_metrics if training_args.do_eval and not is_torch_tpu_available() else None,
preprocess_logits_for_metrics=preprocess_logits_for_metrics
if training_args.do_eval and not is_torch_tpu_available()
else None,
)

# Training
Expand Down