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model_item=CE_gpt_finetune_QNLI
dp_degree=1
mp_degree=1
pp_degree=1
bs_item=32
fp_item=fp16
run_mode=DP1-MP1-PP1
device_num=N1C1
convergence_key=acc:
dataset=QNLI

model=gpt
micro_bs=${bs_item}

cd ./benchmarks
bash ./test_tipc/gpt/dygraph/finetune/benchmark_common/prepare.sh
# run
bash ./test_tipc/gpt/dygraph/finetune/benchmark_common/run_benchmark.sh ${model_item} ${fp_item} ${dp_degree} ${mp_degree} ${pp_degree} ${micro_bs} ${bs_item} ${run_mode} ${device_num} \
${convergence_key} ${dataset} 2>&1;
