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https://gitee.com/ascend/ModelLink.git
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95 lines
2.2 KiB
Bash
95 lines
2.2 KiB
Bash
#!/bin/bash
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export CUDA_DEVICE_MAX_CONNECTIONS=1
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GPUS_PER_NODE=8
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MASTER_ADDR=localhost
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MASTER_PORT=6000
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NNODES=1
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NODE_RANK=0
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WORLD_SIZE=$(($GPUS_PER_NODE*$NNODES))
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CKPT_SAVE_DIR="your model save ckpt path"
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DATA_PATH="your data path"
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TOKENIZER_MODEL="your tokenizer path"
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CKPT_LOAD_DIR="your model ckpt path"
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TP=1
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PP=2
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DISTRIBUTED_ARGS="
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--nproc_per_node $GPUS_PER_NODE \
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--nnodes $NNODES \
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--node_rank $NODE_RANK \
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--master_addr $MASTER_ADDR \
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--master_port $MASTER_PORT
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"
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GPT_ARGS="
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--tensor-model-parallel-size ${TP} \
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--pipeline-model-parallel-size ${PP} \
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--sequence-parallel \
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--use-mc2 \
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--use-fused-rmsnorm \
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--num-layers 18 \
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--hidden-size 2048 \
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--ffn-hidden-size 16384 \
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--num-attention-heads 8 \
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--tokenizer-type PretrainedFromHF \
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--tokenizer-name-or-path ${TOKENIZER_MODEL} \
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--seq-length 8192 \
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--max-position-embeddings 8192 \
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--micro-batch-size 1 \
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--global-batch-size 256 \
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--kv-channels 256 \
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--group-query-attention \
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--num-query-groups 1 \
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--make-vocab-size-divisible-by 1 \
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--lr 1.25e-6 \
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--train-iters 2000 \
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--lr-decay-style cosine \
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--disable-bias-linear \
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--attention-dropout 0.0 \
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--init-method-std 0.01 \
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--hidden-dropout 0.0 \
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--position-embedding-type rope \
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--normalization RMSNorm \
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--add-rmsnorm-offset \
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--geglu \
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--input-embeds-norm \
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--use-flash-attn \
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--no-masked-softmax-fusion \
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--attention-softmax-in-fp32 \
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--min-lr 1.25e-7 \
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--weight-decay 1e-1 \
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--lr-warmup-fraction 0.01 \
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--clip-grad 1.0 \
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--adam-beta1 0.9 \
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--adam-beta2 0.95 \
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--initial-loss-scale 4096 \
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--use-distributed-optimizer \
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--no-gradient-accumulation-fusion \
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--no-load-optim \
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--no-load-rng \
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--bf16
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"
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DATA_ARGS="
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--data-path $DATA_PATH \
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--split 100,0,0
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"
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OUTPUT_ARGS="
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--log-interval 1 \
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--save-interval 2000 \
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--eval-interval 1000 \
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--eval-iters 0 \
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"
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torchrun $DISTRIBUTED_ARGS pretrain_gpt.py \
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$GPT_ARGS \
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$DATA_ARGS \
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$OUTPUT_ARGS \
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--distributed-backend nccl \
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--load ${CKPT_LOAD_DIR} \
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--save ${CKPT_SAVE_DIR} \
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| tee logs/train_gemma_2b.log |