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LR=1e-4
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MASTER_PORT=$(shuf -n 1 -i 10000-65535)
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deepspeed --num_gpus=4 --master_port $MASTER_PORT main.py \
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--deepspeed deepspeed.json \
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--do_train \
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--train_file AdvertiseGen/train.json \
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--test_file AdvertiseGen/dev.json \
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--prompt_column content \
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--response_column summary \
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--overwrite_cache \
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--model_name_or_path THUDM/chatglm-6b \
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--output_dir ./output/adgen-chatglm-6b-ft-$LR \
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--overwrite_output_dir \
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--max_source_length 64 \
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--max_target_length 64 \
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--per_device_train_batch_size 4 \
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--per_device_eval_batch_size 1 \
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--gradient_accumulation_steps 1 \
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--predict_with_generate \
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--max_steps 5000 \
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--logging_steps 10 \
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--save_steps 1000 \
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--learning_rate $LR \
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--fp16
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