64 lines
1.9 KiB
Bash
64 lines
1.9 KiB
Bash
#! /bin/bash
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#SBATCH --partition=gpu3-1
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#SBATCH --nodes=1
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#SBATCH --ntasks-per-node=8
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#SBATCH --gres=gpu:8
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#SBATCH --cpus-per-task=8
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export MASTER_ADDR=`hostname`
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export MASTER_PORT=12345
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echo $MASTER_ADDR
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CPM_PATH="./9G-Train"
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CONFIG_NAME="${CPM_PATH}/apps/cpm9g/config/11b"
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EXP_PATH=./exp
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mkdir -p $EXP_PATH
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MODEL_NAME="cpm9g-11b-sft"
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OPTS=""
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OPTS+=" --model-config ${CONFIG_NAME}/config.json"
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OPTS+=" --vocab ${CONFIG_NAME}/vocab.txt"
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OPTS+=" --train-iters 10000"
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OPTS+=" --inspect-iters 200"
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OPTS+=" --warmup-iters 500"
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OPTS+=" --lr-decay-style cosine"
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OPTS+=" --weight-decay 0.1"
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OPTS+=" --clip-grad 1.0"
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OPTS+=" --loss-scale 1048576"
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OPTS+=" --max-loss-scale 33554432"
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OPTS+=" --min-loss-scale 1"
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OPTS+=" --loss-scale-steps 32"
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OPTS+=" --offload"
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OPTS+=" --batch-size 4"
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OPTS+=" --max-length 4096"
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OPTS+=" --lr 2e-5"
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OPTS+=" --start-step 0"
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OPTS+=" --epoch 8"
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OPTS+=" --load /data/groups/QY_LLM_Core/models/20231010/11b-base/11b.pt"
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OPTS+=" --dataset /data/groups/QY_LLM_Core/datasets/sft/20231025/merge_qy_sft_bin"
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# TODO 这些 /data 在启元机器上需要改成 /home 下的路径
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OPTS+=" --save ${EXP_PATH}/checkpoints"
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OPTS+=" --save-name ${MODEL_NAME}"
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# OPTS+=" --tensorboard /data/logs/tensorboard/${MODEL_NAME}/${CUR_DATE}/"
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# OPTS+=" --flash triton"
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# OPTS+=" --flash cuda"
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# OPTS+=" --load-grad"
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OPTS+=" --delta-tuning" #开启delta-tuning
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OPTS+=" --delta-type lora" #目前仅支持lora
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OPTS+=" --lora-r 64" #lora矩阵的维度，默认为8
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OPTS+=" --lora-dropout 0.05" #默认为0
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OPTS+=" --lora-alpha 64" #lora对原模型的影响比例，默认为8
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OPTS+=" --lora-layer project_q project_v project_k w_0 w_1 w_out" #参与lora的线性层，默认为project_q,project_k
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OPTS+=" --save-origin-model" #是否在每个epoch储存基座模型
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OPTS+=" $@"
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CMD="torchrun --nnodes=1 --nproc_per_node=8 --rdzv_id=1 --rdzv_backend=c10d --rdzv_endpoint=${MASTER_ADDR}:${MASTER_PORT} ${CPM_PATH}/apps/cpm9g/sft_cpm9g_delta.py ${OPTS}"
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echo "${CMD}"
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$CMD
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