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[run_clm] clarify why we get the tokenizer warning on long input #11145

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Apr 8, 2021
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[run_clm] clarify why we get the tokenizer warning on long input #11145

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4110d91
clarify why we get the warning here
stas00 Apr 8, 2021
3b4163e
Update examples/language-modeling/run_clm.py
stas00 Apr 8, 2021
b2a738f
wording
stas00 Apr 8, 2021
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stas00 Apr 8, 2021
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9 changes: 8 additions & 1 deletion examples/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 @@
default_data_collator,
set_seed,
)
from transformers.testing_utils import CaptureLogger
from transformers.trainer_utils import get_last_checkpoint, is_main_process
from transformers.utils import check_min_version

Expand Down Expand Up @@ -317,7 +318,13 @@ def main():
text_column_name = "text" if "text" in column_names else column_names[0]

def tokenize_function(examples):
return tokenizer(examples[text_column_name])
tok_logger = transformers.utils.logging.get_logger("transformers.tokenization_utils_base")
with CaptureLogger(tok_logger) as cl:
output = tokenizer(examples[text_column_name])
# clm input could be much much longer than block_size
if "Token indices sequence length is longer than the" in cl.out:
tok_logger.warning("^^^^^^^^^^^^^^^^ Please ignore the warning above - it's just a long input")
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return output

tokenized_datasets = datasets.map(
tokenize_function,
Expand Down