63 lines
1.6 KiB
Bash
63 lines
1.6 KiB
Bash
#!/bin/bash
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# bash run_once.sh lora_sft Qwen-7B 8 50
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# bash run_once.sh lora_sft Qwen-7B 1 50
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# bash run_once.sh inference Qwen-7B 8 50
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run_type="$1"
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model="$2"
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gpu_cnt="$3"
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max_steps="$4"
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echo "run_type: ${run_type}"
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echo "model: ${model}"
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echo "gpu_cnt: ${gpu_cnt}"
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echo "max_steps: ${max_steps}"
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current_datetime=$(date +%Y%m%d%H%M%S)
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if [ "${run_type}"="lora_sft" ]; then
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run_name="${run_type}_${model}_${gpu_cnt}_gpu_${max_steps}_step_${current_datetime}"
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else
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run_name="${run_type}_${model}_${gpu_cnt}_gpu_${current_datetime}"
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fi
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output_dir="./results/910b/${run_name}"
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if [ ! -d "$output_dir" ]; then
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mkdir -p "$output_dir"
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echo "output_dir created: $output_dir"
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else
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echo "output_dir exists: $output_dir"
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fi
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# echo "${run_type} ${model} ${gpu_cnt} ${max_steps} ${run_name} ${output_dir}"
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python prepare_yaml_file.py ${run_type} ${model} ${max_steps} ${run_name} ${output_dir}
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export USE_MODELSCOPE_HUB=1
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echo "Start recording npu status "
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bash npu_status.sh ${output_dir} 60 0 &
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npu_status_pid=$!
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# echo "${npu_status_pid}"
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if [ "${gpu_cnt}" = "1" ]; then
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ASCEND_RT_VISIBLE_DEVICES=0 llamafactory-cli train ${output_dir}/${run_name}.yaml | tee "${output_dir}/log.txt" &
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train_pid=$!
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echo "Start single npu train"
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else
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FORCE_TORCHRUN=1 llamafactory-cli train ${output_dir}/${run_name}.yaml | tee "${output_dir}/log.txt" &
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train_pid=$!
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echo "Start multi npu train"
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fi
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wait $train_pid
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echo "Train ended"
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sleep 60
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kill $npu_status_pid
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echo "Npu status ended"
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python3 -c "import moxing as mox; mox.file.copy_parallel('${output_dir}', 'obs://xty/results/${run_name}')"
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rm -r ${output_dir} |