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python run_summarization.py \
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--model_name_or_path google/t5-v1_1-base \
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--do_train \
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--train_file ../train/huggingface_format.csv \
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--validation_file ../dev-0/huggingface_format_short.csv \
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--source_prefix "classify: " \
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--summary_column 'label' \
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--max_target_length=4 \
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--max_source_length=64 \
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--output_dir ./t5-retrained \
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--per_device_train_batch_size=16 \
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--per_device_eval_batch_size=16 \
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--gradient_accumulation_steps=4 \
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--overwrite_output_dir \
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--predict_with_generate \
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--save_steps=10000 \
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--eval_steps=10000 \
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--evaluation_strategy steps
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