github/ColossalAI
1
0
Fork 0
mirror of https://github.com/hpcaitech/ColossalAI.git synced 2025-09-10 13:30:19 +00:00
Code Issues Packages Projects Releases Wiki Activity

add kto

Browse Source
This commit is contained in:
YeAnbang
2024-07-18 07:54:11 +00:00
parent b3594d4d68
commit 09d5ffca1a
27 changed files with 1739 additions and 63 deletions
Download Patch File Download Diff File Expand all files Collapse all files

37
applications/ColossalChat/examples/training_scripts/train_sft.sh
View File

@@ -15,22 +15,22 @@ set_n_least_used_CUDA_VISIBLE_DEVICES() {
set_n_least_used_CUDA_VISIBLE_DEVICES 4
PROJECT_NAME="sft"
PARENT_SAVE_DIR="" # Path to a folder to save checkpoints
PARENT_TENSORBOARD_DIR="" # Path to a folder to save logs
PARENT_CONFIG_FILE="" # 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
PARENT_SAVE_DIR="/home/nvme-share/home/yeanbang/data/model/hh_rlhf_sheared_llama" # Path to a folder to save checkpoints
PARENT_TENSORBOARD_DIR="/home/nvme-share/home/yeanbang/data/experiments/sft/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/share/models/Sheared-LLaMA-1.3B" # 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=(
/Your/SFT/Data/arrow/part-00000
/Your/SFT/Data/arrow/part-00001
/Your/SFT/Data/arrow/part-00002
/Your/SFT/Data/arrow/part-00003
/Your/SFT/Data/arrow/part-00004
/Your/SFT/Data/arrow/part-00005
/Your/SFT/Data/arrow/part-00006
/Your/SFT/Data/arrow/part-00007
/Your/SFT/Data/arrow/part-00008
/Your/SFT/Data/arrow/part-00009
/home/nvme-share/home/yeanbang/data/experiments/sft/arrow/part-00000
/home/nvme-share/home/yeanbang/data/experiments/sft/arrow/part-00001
/home/nvme-share/home/yeanbang/data/experiments/sft/arrow/part-00002
/home/nvme-share/home/yeanbang/data/experiments/sft/arrow/part-00003
/home/nvme-share/home/yeanbang/data/experiments/sft/arrow/part-00004
/home/nvme-share/home/yeanbang/data/experiments/sft/arrow/part-00005
/home/nvme-share/home/yeanbang/data/experiments/sft/arrow/part-00006
/home/nvme-share/home/yeanbang/data/experiments/sft/arrow/part-00007
/home/nvme-share/home/yeanbang/data/experiments/sft/arrow/part-00008
/home/nvme-share/home/yeanbang/data/experiments/sft/arrow/part-00009
)
TIMESTAMP=$(date +%Y-%m-%d-%H-%M-%S)
@@ -44,17 +44,16 @@ echo $(which python)
colossalai run --nproc_per_node 4 --master_port 31312 --hostfile ./hostfile train_sft.py \
--pretrain $PRETRAINED_MODEL_PATH \
--tokenizer_dir $PRETRAINED_TOKENIZER_PATH \
--save_interval 4000 \
--save_interval 2000 \
--dataset ${dataset[@]} \
--save_path $SAVE_DIR \
--config_file $CONFIG_FILE \
--lora_rank 0 \
--plugin zero2 \
--batch_size 4 \
--batch_size 8 \
--max_epochs 1 \
--accumulation_steps 4 \
--accumulation_steps 2 \
--lr 5e-5 \
--max_len 4096 \
--grad_checkpoint \
--use_wandb \
--use_flash_attn