52 lines
1.3 KiB
Bash
52 lines
1.3 KiB
Bash
#!/bin/bash
|
|
|
|
run_type="$1"
|
|
model="$2"
|
|
gpu_cnt="$3"
|
|
max_steps="$4"
|
|
|
|
current_datetime=$(date +%Y%m%d%H%M%S)
|
|
|
|
if [ "${run_type}"="lora_sft" ]; then
|
|
run_name="${run_type}_${model}_${gpu_cnt}_gpu_${max_steps}_step_${current_datetime}"
|
|
|
|
else
|
|
run_name="${run_type}_${model}_${gpu_cnt}_gpu_${current_datetime}"
|
|
fi
|
|
|
|
output_dir="./results/${run_name}"
|
|
|
|
if [ ! -d "$output_dir" ]; then
|
|
mkdir -p "$output_dir"
|
|
echo "output_dir created: $output_dir"
|
|
else
|
|
echo "output_dir exists: $output_dir"
|
|
fi
|
|
|
|
# echo "${run_type} ${model} ${gpu_cnt} ${max_steps} ${run_name} ${output_dir}"
|
|
python prepare_yaml_file.py ${run_type} ${model} ${max_steps} ${run_name} ${output_dir}
|
|
|
|
export USE_MODELSCOPE_HUB=1
|
|
|
|
# echo "Start recording gpu status "
|
|
# # 0 means not printing gpu status
|
|
# python gpu_status.py ${output_dir} 1 10 &
|
|
# gpu_status_pid=$!
|
|
# echo "${gpu_status_pid}"
|
|
|
|
if [ "${gpu_cnt}"="1" ]; then
|
|
ASCEND_RT_VISIBLE_DEVICES=0 llamafactory-cli train ${output_dir}/${run_name}.yaml | tee "${output_dir}/log.txt" &
|
|
train_pid=$!
|
|
echo "Start train"
|
|
else
|
|
FORCE_TORCHRUN=1 llamafactory-cli train ${output_dir}/${run_name}.yaml | tee "${output_dir}/log.txt" &
|
|
train_pid=$!
|
|
echo "Start train"
|
|
fi
|
|
|
|
wait $train_pid
|
|
echo "Train ended"
|
|
|
|
# sleep 90
|
|
# kill $gpu_status_pid
|
|
# echo "Gpu status ended" |