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upgrade colossal-chat support tp_group>1, add sp for sft

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YeAnbang
2024-05-27 05:55:57 +00:00
parent 73e88a5553
commit 7a7e86987d
33 changed files with 7574 additions and 105 deletions
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48
applications/ColossalChat/examples/training_scripts/train_sft.sh
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@@ -17,22 +17,22 @@ set_n_least_used_CUDA_VISIBLE_DEVICES() {
# export CUDA_VISIBLE_DEVICES=4,5,6
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/yeanbang/data/experiment/output/model" # Path to a folder to save checkpoints
PARENT_TENSORBOARD_DIR="/home/yeanbang/data/experiment/logs/tensorboard" # Path to a folder to save logs
PARENT_CONFIG_FILE="/home/yeanbang/data/experiment/logs/config" # Path to a folder to save training config logs
PRETRAINED_MODEL_PATH="/mnt/jfs-hdd/share/models/Llama-2-7b-chat-hf" # huggingface or local model path
PRETRAINED_TOKENIZER_PATH="/mnt/jfs-hdd/share/models/Llama-2-7b-chat-hf" # huggingface or local tokenizer path
declare -a dataset=(
YOUR/SFT/DATA/DIR/arrow/part-00000
YOUR/SFT/DATA/DIR/arrow/part-00001
YOUR/SFT/DATA/DIR/arrow/part-00002
YOUR/SFT/DATA/DIR/arrow/part-00003
YOUR/SFT/DATA/DIR/arrow/part-00004
YOUR/SFT/DATA/DIR/arrow/part-00005
YOUR/SFT/DATA/DIR/arrow/part-00006
YOUR/SFT/DATA/DIR/arrow/part-00007
YOUR/SFT/DATA/DIR/arrow/part-00008
YOUR/SFT/DATA/DIR/arrow/part-00009
/home/yeanbang/data/experiment/dataset/alpaca/test/Llama-2-7b-chat-hf/arrow/part-00000
/home/yeanbang/data/experiment/dataset/alpaca/test/Llama-2-7b-chat-hf/arrow/part-00001
/home/yeanbang/data/experiment/dataset/alpaca/test/Llama-2-7b-chat-hf/arrow/part-00002
/home/yeanbang/data/experiment/dataset/alpaca/test/Llama-2-7b-chat-hf/arrow/part-00003
/home/yeanbang/data/experiment/dataset/alpaca/test/Llama-2-7b-chat-hf/arrow/part-00004
/home/yeanbang/data/experiment/dataset/alpaca/test/Llama-2-7b-chat-hf/arrow/part-00005
/home/yeanbang/data/experiment/dataset/alpaca/test/Llama-2-7b-chat-hf/arrow/part-00006
/home/yeanbang/data/experiment/dataset/alpaca/test/Llama-2-7b-chat-hf/arrow/part-00007
/home/yeanbang/data/experiment/dataset/alpaca/test/Llama-2-7b-chat-hf/arrow/part-00008
/home/yeanbang/data/experiment/dataset/alpaca/test/Llama-2-7b-chat-hf/arrow/part-00009
)
TIMESTAMP=$(date +%Y-%m-%d-%H-%M-%S)
@@ -40,6 +40,8 @@ FULL_PROJECT_NAME="${PROJECT_NAME}-${TIMESTAMP}"
SAVE_DIR="${PARENT_SAVE_DIR}${FULL_PROJECT_NAME}"
CONFIG_FILE="${PARENT_CONFIG_FILE}-${FULL_PROJECT_NAME}.json"
echo $(which colossalai)
echo $(which python)
# the real batch size for gradient descent is number_of_node_in_hostfile * nproc_per_node * train_batch_size
colossalai run --nproc_per_node 4 --master_port 31312 --hostfile ./hostfile train_sft.py \
--pretrain $PRETRAINED_MODEL_PATH \
@@ -50,10 +52,14 @@ colossalai run --nproc_per_node 4 --master_port 31312 --hostfile ./hostfile trai
--config_file $CONFIG_FILE \
--lora_rank 0 \
--plugin zero2 \
--batch_size 8 \
--max_epochs 1 \
--accumulation_steps 1 \
--lr 2e-5 \
--max_len 2048 \
--tp 1 \
--pp 1 \
--zero_stage 2 \
--batch_size 4 \
--max_epochs 3 \
--accumulation_steps 4 \
--lr 5e-5 \
--max_len 400 \
--grad_checkpoint \
--use_wandb
--use_wandb \
--use_flash_attn