#!/bin/bash #sh run_finetune_megatron_chatglm.sh dsw /workspace/PAI-Megatron-Patch/ 6B 4 64 64 1e-4 1e-5 fp16 1 1 sel true false false /mnt/glm-datasets/AdvertiseGen/train.json /mnt/glm-datasets/AdvertiseGen/dev.json /mnt/glm-ckpts/chatglm-6b-to-megatron/ 2 /mnt/output_megatron_chatglm/ set -e ENV=$1 MEGATRON_PATCH_PATH=$2 MEGATRON_PATH=${MEGATRON_PATCH_PATH}/Megatron-LM-230512 export PYTHONPATH=${MEGATRON_PATH}:${MEGATRON_PATCH_PATH}:$PYTHONPATH export CUDA_DEVICE_MAX_CONNECTIONS=1 if [ $ENV = dsw ]; then export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 MASTER_ADDR=localhost MASTER_PORT=$(shuf -n 1 -i 10000-65535) NNODES=1 NODE_RANK=0 GPUS_PER_NODE=8 elif [ $ENV = dlc ]; then NNODES=${WORLD_SIZE} NODE_RANK=${RANK} GPUS_PER_NODE=${KUBERNETES_CONTAINER_RESOURCE_GPU} fi DISTRIBUTED_ARGS="--nproc_per_node $GPUS_PER_NODE --nnodes $NNODES --node_rank $NODE_RANK --master_addr $MASTER_ADDR --master_port $MASTER_PORT" MODEL_SIZE=$3 BATCH_SIZE=$4 SOURCE_SEQ_LEN=$5 TARGET_SEQ_LEN=$6 LR=$7 MIN_LR=$8 PR=$9 TP=${10} PP=${11} AC=${12} DO=${13} FL=${14} SP=${15} TRAIN_DATASET_PATH=${16} VALID_DATASET_PATH=${17} PRETRAIN_CHECKPOINT_PATH=${18} EPOCH=${19} OUTPUT_BASEPATH=${20} if [ $MODEL_SIZE = 6B ]; then NUM_LAYERS=28 HIDDEN_SIZE=4096 NUM_ATTN_HEADS=32 SEQ_LEN=2048 fi if [ $AC = full ]; then activation_checkpoint_options=" \ --recompute-method uniform \ --recompute-granularity full" elif [ $AC = sel ]; then activation_checkpoint_options=" \ --recompute-activations" elif [ $AC = none ]; then activation_checkpoint_options=" \ " fi if [ $PR = fp16 ]; then pr_options=" \ --fp16" elif [ $PR = bf16 ]; then pr_options=" \ --bf16" fi if [ $DO = true ]; then do_options=" \ --use-distributed-optimizer" elif [ $DO = false ]; then do_options=" \ " fi if [ $FL = true ]; then flash_options=" \ --use-flash-attn" elif [ $FL = false ]; then flash_options=" \ " fi if [ $SP = true ] && [ $TP -gt 1 ]; then sp_options=" \ --sequence-parallel" elif [ $SP = false ]; then sp_options=" \ " fi FT_NAME="${ENV}-finetune-megatron-chatglm-${MODEL_SIZE}-lr-${LR}-ep-${EPOCH}-bs-${BATCH_SIZE}-seqlen-${SEQ_LEN}-pr-${PR}--do-${DO}-tp-${TP}-ac-${AC}-sp-${SP}" OUTPUT_BASEPATH=/mnt/output_megatron_chatglm mkdir -p "${OUTPUT_BASEPATH}/tensorboard/" mkdir -p "${OUTPUT_BASEPATH}/checkpoint/" mkdir -p "${OUTPUT_BASEPATH}/log/" current_time=$(date "+%Y.%m.%d-%H.%M.%S") TENSORBOARD_DIR="${OUTPUT_BASEPATH}/tensorboard/${FT_NAME}_${current_time}" mkdir -p ${TENSORBOARD_DIR} FINETUNE_CHECKPOINT_PATH="${OUTPUT_BASEPATH}/checkpoint/${FT_NAME}" LOGGING_PATH="${OUTPUT_BASEPATH}/log/${FT_NAME}_${current_time}" megatron_options=" \ --load ${PRETRAIN_CHECKPOINT_PATH} \ --save ${FINETUNE_CHECKPOINT_PATH} \ --train-data ${TRAIN_DATASET_PATH} \ --valid-data ${VALID_DATASET_PATH} \ --num-layers ${NUM_LAYERS} \ --hidden-size ${HIDDEN_SIZE} \ --num-attention-heads ${NUM_ATTN_HEADS} \ --source-seq-len ${SOURCE_SEQ_LEN} \ --target-seq-len ${TARGET_SEQ_LEN} \ --seq-length ${SEQ_LEN} \ --max-position-embeddings ${SEQ_LEN} \ --keep-last \ --micro-batch-size ${BATCH_SIZE} \ --epochs ${EPOCH} \ --lr ${LR} \ --min-lr ${MIN_LR} \ --lr-decay-style cosine \ --weight-decay 0.1 \ --clip-grad 1.0 \ --adam-beta1 0.9 \ --adam-beta2 0.95 \ --init-method-std 0.01 \ --num-workers 0\ --log-interval 1 \ --eval-interval 1000 \ --eval-iters 10 \ --save-interval 1000000 \ --tensorboard-queue-size 1 \ --tensorboard-dir ${TENSORBOARD_DIR} \ --log-timers-to-tensorboard \ --log-batch-size-to-tensorboard \ --log-validation-ppl-to-tensorboard \ --tensor-model-parallel-size ${TP} \ --pipeline-model-parallel-size ${PP} \ --finetune \ --DDP-impl local \ --no-load-optim \ --no-load-rng \ --seed 1234 \ --position-embedding-type rotary \ --apply-residual-connection-post-layernorm \ --openai-gelu \ --no-bias-gelu-fusion \ --position-encoding-2d \ --patch-tokenizer-type ChatGLMTokenizerFromHF " run_cmd="torchrun $DISTRIBUTED_ARGS finetune_megatron_chatglm.py ${megatron_options} ${activation_checkpoint_options} ${do_options} ${pr_options} ${sp_options} ${flash_options}" echo ${run_cmd} eval ${run_cmd} set +x