export LD_LIBRARY_PATH=/usr/local/lib:/root/miniconda3/lib:$LD_LIBRARY_PATH
export HCCL_CONNECT_TIMEOUT=1200
GPUS_PER_NODE=8
MASTER_ADDR=localhost
MASTER_PORT=6000
NNODES=1
NODE_RANK=0
WORLD_SIZE=$(($GPUS_PER_NODE*$NNODES))
DATA=./dataset/internlm_text_document
CHECKPOINT=./ckpt/
DS_CONFIG=ds_config.json
ZERO_STAGE=2
GLOBAL_BATCH=64
MICRO_BATCH=8
cat <<EOT > $DS_CONFIG
{
"fp16": {
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"initial_scale_power": 8,
"hysteresis": 2,
"min_loss_scale": 1
},
"optimizer": {
"type": "Adam"
},
"zero_optimization": {
"stage": $ZERO_STAGE,
"allgather_partitions": true,
"allgather_bucket_size": 5e8,
"overlap_comm": true,
"reduce_scatter": true,
"reduce_bucket_size": 5e8,
"contiguous_gradients": true
},
"gradient_accumulation_steps": 1,
"train_batch_size": $GLOBAL_BATCH,
"train_micro_batch_size_per_gpu":$MICRO_BATCH,
"zero_allow_untested_optimizer": true
}
EOT
ds_args=""
ds_args=" --deepspeed ${ds_args}"
ds_args=" --no-pipeline-parallel ${ds_args}"
ds_args=" --deepspeed_config=$DS_CONFIG ${ds_args}"
ds_args=" --zero-stage=$ZERO_STAGE ${ds_args}"
ds_args=" --deepspeed-activation-checkpointing ${ds_args}"
deepspeed pretrain_intern.py \
--DDP-impl torch \
--use-contiguous-buffers-in-ddp \
--tensor-model-parallel-size 1 \
--pipeline-model-parallel-size 1 \
--num-layers 32 \
--hidden-size 4096 \
--ffn-hidden-size 11008 \
--num-attention-heads 32 \
--micro-batch-size $MICRO_BATCH \
--global-batch-size $GLOBAL_BATCH \
--seq-length 2048 \
--max-position-embeddings 2048 \
--train-iters 500000 \
--lr-decay-iters 320000 \
--data-path $DATA \
--tokenizer-name-or-path ./dataset/internlm \
--tokenizer-not-use-fast \
--data-impl mmap \
--split 949,50,1 \
--distributed-backend nccl \
--lr 0.00015 \
--lr-decay-style cosine \
--min-lr 1.0e-5 \
--weight-decay 1e-2 \
--clip-grad 1.0 \
--lr-warmup-fraction .01 \
--checkpoint-activations \
--log-interval 1 \
--save-interval 10000 \
--eval-interval 1000 \
--eval-iters 10 \
--use-cpu-initialization \
$ds_args \
--fp16 | tee logs/train.log
bash examples/intern/pretrain_internlm_7b_zero.sh