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PRE_SEQ_LEN=128
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LR=2e-2
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CUDA_VISIBLE_DEVICES=0 python3 main.py \
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--do_train \
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--train_file AdvertiseGen/train.json \
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--validation_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-pt-$PRE_SEQ_LEN-$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 1 \
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--per_device_eval_batch_size 1 \
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--gradient_accumulation_steps 16 \
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--predict_with_generate \
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--max_steps 3000 \
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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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--pre_seq_len $PRE_SEQ_LEN \
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--quantization_bit 4
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