Add example batch size to all commands (#15596)
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@@ -39,6 +39,8 @@ python run_clm.py \
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--model_name_or_path gpt2 \
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--dataset_name wikitext \
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--dataset_config_name wikitext-2-raw-v1 \
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--per_device_train_batch_size 8 \
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--per_device_eval_batch_size 8 \
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--do_train \
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--do_eval \
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--output_dir /tmp/test-clm
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@@ -54,6 +56,8 @@ python run_clm.py \
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--model_name_or_path gpt2 \
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--train_file path_to_train_file \
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--validation_file path_to_validation_file \
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--per_device_train_batch_size 8 \
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--per_device_eval_batch_size 8 \
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--do_train \
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--do_eval \
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--output_dir /tmp/test-clm
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@@ -83,6 +87,8 @@ python run_mlm.py \
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--model_name_or_path roberta-base \
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--dataset_name wikitext \
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--dataset_config_name wikitext-2-raw-v1 \
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--per_device_train_batch_size 8 \
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--per_device_eval_batch_size 8 \
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--do_train \
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--do_eval \
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--output_dir /tmp/test-mlm
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@@ -95,6 +101,8 @@ python run_mlm.py \
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--model_name_or_path roberta-base \
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--train_file path_to_train_file \
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--validation_file path_to_validation_file \
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--per_device_train_batch_size 8 \
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--per_device_eval_batch_size 8 \
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--do_train \
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--do_eval \
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--output_dir /tmp/test-mlm
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@@ -139,6 +147,8 @@ python run_plm.py \
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--model_name_or_path=xlnet-base-cased \
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--dataset_name wikitext \
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--dataset_config_name wikitext-2-raw-v1 \
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--per_device_train_batch_size 8 \
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--per_device_eval_batch_size 8 \
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--do_train \
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--do_eval \
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--output_dir /tmp/test-plm
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@@ -151,6 +161,8 @@ python run_plm.py \
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--model_name_or_path=xlnet-base-cased \
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--train_file path_to_train_file \
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--validation_file path_to_validation_file \
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--per_device_train_batch_size 8 \
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--per_device_eval_batch_size 8 \
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--do_train \
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--do_eval \
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--output_dir /tmp/test-plm
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