mirror of https://github.com/hpcaitech/ColossalAI
49 lines
1.5 KiB
Bash
Executable File
49 lines
1.5 KiB
Bash
Executable File
#!/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="dpo"
|
|
PARENT_CONFIG_FILE="./benchmark_config" # Path to a folder to save training config logs
|
|
PRETRAINED_MODEL_PATH="" # huggingface or local model path
|
|
PRETRAINED_TOKENIZER_PATH="" # huggingface or local tokenizer path
|
|
|
|
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 benchmark_dpo.py \
|
|
--pretrain $PRETRAINED_MODEL_PATH \
|
|
--tokenizer_dir $PRETRAINED_TOKENIZER_PATH \
|
|
--config_file $CONFIG_FILE \
|
|
--plugin "zero2_cpu" \
|
|
--max_epochs 1 \
|
|
--accumulation_steps 1 \
|
|
--batch_size 8 \
|
|
--lr 1e-6 \
|
|
--beta 0.1 \
|
|
--gamma 0.6 \
|
|
--mixed_precision "bf16" \
|
|
--grad_clip 1.0 \
|
|
--max_length 2048 \
|
|
--dataset_size 640 \
|
|
--weight_decay 0.01 \
|
|
--warmup_steps 60 \
|
|
--disable_reference_model \
|
|
--length_normalization \
|
|
--grad_checkpoint \
|
|
--use_flash_attn
|