mirror of https://github.com/hpcaitech/ColossalAI
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
62 lines
2.6 KiB
62 lines
2.6 KiB
#!/bin/bash
|
|
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"
|
|
}
|
|
set_n_least_used_CUDA_VISIBLE_DEVICES 4
|
|
|
|
PROJECT_NAME="kto"
|
|
PARENT_SAVE_DIR="/home/nvme-share/home/yeanbang/data/experiments/kto/checkpoint" # Path to a folder to save checkpoints
|
|
PARENT_TENSORBOARD_DIR="/home/nvme-share/home/yeanbang/data/experiments/kto/log" # Path to a folder to save logs
|
|
PARENT_CONFIG_FILE="/home/nvme-share/home/yeanbang/data/experiments/kto/log" # Path to a folder to save training config logs
|
|
PRETRAINED_MODEL_PATH="/home/nvme-share/home/yeanbang/data/model/hh_rlhf_sheared_llamasft-2024-07-17-07-29-29/modeling" # huggingface or local model path
|
|
PRETRAINED_TOKENIZER_PATH="/home/nvme-share/share/models/Sheared-LLaMA-1.3B" # huggingface or local tokenizer path
|
|
|
|
declare -a dataset=(
|
|
/home/nvme-share/home/yeanbang/data/experiments/kto/arrow/part-00000
|
|
/home/nvme-share/home/yeanbang/data/experiments/kto/arrow/part-00001
|
|
/home/nvme-share/home/yeanbang/data/experiments/kto/arrow/part-00002
|
|
/home/nvme-share/home/yeanbang/data/experiments/kto/arrow/part-00003
|
|
/home/nvme-share/home/yeanbang/data/experiments/kto/arrow/part-00004
|
|
/home/nvme-share/home/yeanbang/data/experiments/kto/arrow/part-00005
|
|
/home/nvme-share/home/yeanbang/data/experiments/kto/arrow/part-00006
|
|
/home/nvme-share/home/yeanbang/data/experiments/kto/arrow/part-00007
|
|
/home/nvme-share/home/yeanbang/data/experiments/kto/arrow/part-00008
|
|
/home/nvme-share/home/yeanbang/data/experiments/kto/arrow/part-00009
|
|
)
|
|
|
|
TIMESTAMP=$(date +%Y-%m-%d-%H-%M-%S)
|
|
FULL_PROJECT_NAME="${PROJECT_NAME}-${TIMESTAMP}"
|
|
SAVE_DIR="${PARENT_SAVE_DIR}${FULL_PROJECT_NAME}"
|
|
CONFIG_FILE="${PARENT_CONFIG_FILE}-${FULL_PROJECT_NAME}.json"
|
|
|
|
colossalai run --nproc_per_node 4 --master_port 31313 train_kto.py \
|
|
--pretrain $PRETRAINED_MODEL_PATH \
|
|
--tokenizer_dir $PRETRAINED_TOKENIZER_PATH \
|
|
--dataset ${dataset[@]} \
|
|
--plugin "zero2" \
|
|
--save_interval 1000 \
|
|
--save_dir $SAVE_DIR \
|
|
--config_file $CONFIG_FILE \
|
|
--max_epochs 1 \
|
|
--accumulation_steps 1 \
|
|
--batch_size 8 \
|
|
--lr 1e-5 \
|
|
--beta 0.1 \
|
|
--mixed_precision "bf16" \
|
|
--grad_clip 1.0 \
|
|
--max_length 1024 \
|
|
--weight_decay 0.01 \
|
|
--warmup_steps 60 \
|
|
--grad_checkpoint
|