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fix dataloader

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YeAnbang
2024-06-24 05:10:44 +00:00
parent 4b59d874df
commit 0b2d6275c4
5 changed files with 85 additions and 63 deletions
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2
applications/ColossalChat/examples/training_scripts/train_dpo.sh
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@@ -57,7 +57,7 @@ colossalai run --nproc_per_node 4 --hostfile hostfile --master_port 31313 train_
--beta 0.1 \
--mixed_precision "bf16" \
--grad_clip 1.0 \
--max_length 1024 \
--max_length 4096 \
--weight_decay 0.01 \
--warmup_steps 60 \
--grad_checkpoint \

36
applications/ColossalChat/examples/training_scripts/train_sft.sh
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@@ -15,24 +15,24 @@ set_n_least_used_CUDA_VISIBLE_DEVICES() {
# export CUDA_VISIBLE_DEVICES=4,5,6
set_n_least_used_CUDA_VISIBLE_DEVICES 2
set_n_least_used_CUDA_VISIBLE_DEVICES 4
PROJECT_NAME="sft"
PARENT_SAVE_DIR="/home/yeanbang/data/experiment/rlhf_cont/dpo/ckpt" # Path to a folder to save checkpoints
PARENT_TENSORBOARD_DIR="/home/yeanbang/data/experiment/rlhf_cont/dpo/log" # Path to a folder to save logs
PARENT_CONFIG_FILE="/home/yeanbang/data/experiment/rlhf_cont/dpo/log" # Path to a folder to save training config logs
PRETRAINED_MODEL_PATH="/home/yeanbang/data/models/Sheared-LLaMA-1.3B" # huggingface or local model path
PRETRAINED_TOKENIZER_PATH="/home/yeanbang/data/models/Sheared-LLaMA-1.3B" # huggingface or local tokenizer path
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
declare -a dataset=(
/home/yeanbang/data/experiment/rlhf_cont/dpo/dataset_tokenized/sft/arrow/part-00000
/home/yeanbang/data/experiment/rlhf_cont/dpo/dataset_tokenized/sft/arrow/part-00001
/home/yeanbang/data/experiment/rlhf_cont/dpo/dataset_tokenized/sft/arrow/part-00002
/home/yeanbang/data/experiment/rlhf_cont/dpo/dataset_tokenized/sft/arrow/part-00003
/home/yeanbang/data/experiment/rlhf_cont/dpo/dataset_tokenized/sft/arrow/part-00004
/home/yeanbang/data/experiment/rlhf_cont/dpo/dataset_tokenized/sft/arrow/part-00005
/home/yeanbang/data/experiment/rlhf_cont/dpo/dataset_tokenized/sft/arrow/part-00006
/home/yeanbang/data/experiment/rlhf_cont/dpo/dataset_tokenized/sft/arrow/part-00007
/home/yeanbang/data/experiment/rlhf_cont/dpo/dataset_tokenized/sft/arrow/part-00008
/home/yeanbang/data/experiment/rlhf_cont/dpo/dataset_tokenized/sft/arrow/part-00009
/Your/Preference/Data/arrow/part-00000
/Your/Preference/Data/arrow/part-00001
/Your/Preference/Data/arrow/part-00002
/Your/Preference/Data/arrow/part-00003
/Your/Preference/Data/arrow/part-00004
/Your/Preference/Data/arrow/part-00005
/Your/Preference/Data/arrow/part-00006
/Your/Preference/Data/arrow/part-00007
/Your/Preference/Data/arrow/part-00008
/Your/Preference/Data/arrow/part-00009
)
TIMESTAMP=$(date +%Y-%m-%d-%H-%M-%S)
@@ -43,7 +43,7 @@ CONFIG_FILE="${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 1 --master_port 31312 --hostfile ./hostfile train_sft.py \
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 \
@@ -56,7 +56,7 @@ colossalai run --nproc_per_node 1 --master_port 31312 --hostfile ./hostfile trai
--max_epochs 1 \
--accumulation_steps 4 \
--lr 5e-5 \
--max_len 1000 \
--max_len 4096 \
--grad_checkpoint \
--use_wandb \
--use_flash_attn