ColossalAI/applications/Chat/examples/train_rm.sh

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2023-04-17 07:02:55 +00:00
set_n_least_used_CUDA_VISIBLE_DEVICES() {
local n=${1:-"9999"}
echo "GPU Memory Usage:"
local FIRST_N_GPU_IDS=$(nvidia-smi --query-gpu=memory.used --format=csv \
| tail -n +2 \
| nl -v 0 \
| tee /dev/tty \
| sort -g -k 2 \
| awk '{print $1}' \
| head -n $n)
export CUDA_VISIBLE_DEVICES=$(echo $FIRST_N_GPU_IDS | sed 's/ /,/g')
echo "Now CUDA_VISIBLE_DEVICES is set to:"
echo "CUDA_VISIBLE_DEVICES=$CUDA_VISIBLE_DEVICES"
}
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2023-04-17 07:02:55 +00:00
set_n_least_used_CUDA_VISIBLE_DEVICES 2
torchrun --standalone --nproc_per_node=2 train_reward_model.py \
--pretrain <your pretrain path> \
--model 'bloom' \
--strategy colossalai_zero2 \
--loss_fn 'log_sig'\
--save_path <your model saving path>\
--dataset 'Anthropic/hh-rlhf'\