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