mirror of https://github.com/hpcaitech/ColossalAI
45 lines
822 B
Bash
45 lines
822 B
Bash
set -xe
|
|
pip install -r requirements.txt
|
|
|
|
# model name or path
|
|
MODEL="facebook/opt-350m"
|
|
|
|
# path for saving model
|
|
OUTPUT_PATH="./output_model.bin"
|
|
|
|
# plugin(training strategy)
|
|
# can only be one of "torch_ddp"/"torch_ddp_fp16"/"low_level_zero"/"gemini"
|
|
PLUGIN="hybrid_parallel"
|
|
|
|
# number of gpus to use
|
|
GPUNUM=4
|
|
|
|
# batch size per gpu
|
|
BS=16
|
|
|
|
# learning rate
|
|
LR="5e-5"
|
|
|
|
# number of epoch
|
|
EPOCH=10
|
|
|
|
# weight decay
|
|
WEIGHT_DECAY=0.01
|
|
|
|
# ratio of warmup steps
|
|
WARMUP_RATIO=0.1
|
|
|
|
# run the script for demo
|
|
colossalai run \
|
|
--nproc_per_node ${GPUNUM} \
|
|
--master_port 29505 \
|
|
opt_train_demo.py \
|
|
--model_name_or_path ${MODEL} \
|
|
--output_path ${OUTPUT_PATH} \
|
|
--plugin ${PLUGIN} \
|
|
--batch_size ${BS} \
|
|
--num_epoch ${EPOCH} \
|
|
--learning_rate ${LR} \
|
|
--weight_decay ${WEIGHT_DECAY} \
|
|
--warmup_ratio ${WARMUP_RATIO}
|