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Try to understand and apply Sylvain's comments (#8458)

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This commit is contained in:
Julien Plu
2020-11-12 19:43:00 +01:00
committed by GitHub
parent 0fa0349883
commit 27b3ff316a
25 changed files with 140 additions and 7 deletions
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2
examples/language-modeling/run_clm.py
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@@ -168,6 +168,8 @@ def main():
# Set the verbosity to info of the Transformers logger (on main process only):
if is_main_process(training_args.local_rank):
transformers.utils.logging.set_verbosity_info()
transformers.utils.logging.enable_default_handler()
transformers.utils.logging.enable_explicit_format()
logger.info("Training/evaluation parameters %s", training_args)
# Set seed before initializing model.

2
examples/language-modeling/run_mlm.py
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@@ -179,6 +179,8 @@ def main():
# Set the verbosity to info of the Transformers logger (on main process only):
if is_main_process(training_args.local_rank):
transformers.utils.logging.set_verbosity_info()
transformers.utils.logging.enable_default_handler()
transformers.utils.logging.enable_explicit_format()
logger.info("Training/evaluation parameters %s", training_args)
# Set seed before initializing model.

2
examples/language-modeling/run_mlm_wwm.py
View File

@@ -186,6 +186,8 @@ def main():
# Set the verbosity to info of the Transformers logger (on main process only):
if is_main_process(training_args.local_rank):
transformers.utils.logging.set_verbosity_info()
transformers.utils.logging.enable_default_handler()
transformers.utils.logging.enable_explicit_format()
logger.info("Training/evaluation parameters %s", training_args)
# Set seed before initializing model.

2
examples/language-modeling/run_plm.py
View File

@@ -176,6 +176,8 @@ def main():
# Set the verbosity to info of the Transformers logger (on main process only):
if is_main_process(training_args.local_rank):
transformers.utils.logging.set_verbosity_info()
transformers.utils.logging.enable_default_handler()
transformers.utils.logging.enable_explicit_format()
logger.info("Training/evaluation parameters %s", training_args)
# Set seed before initializing model.