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89 lines
1.9 KiB
Bash
89 lines
1.9 KiB
Bash
#!/bin/bash
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# Runs the "175B" parameter model in deminishing layers for single machine
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export COMBINED_ENABLE=1
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export CUDA_DEVICE_MAX_CONNECTIONS=1
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export AZUREML_EXPERIMENT_ID=0
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GPUS_PER_NODE=8
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# Change for multinode config
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MASTER_ADDR=localhost
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MASTER_PORT=6001
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NUM_NODES=1
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NODE_RANK=0
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WORLD_SIZE=$(($GPUS_PER_NODE*$NUM_NODES))
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DATA_PATH="your dataset path"
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VOCAB_FILE="vocab file for gpt"
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MERGE_FILE="merge file for gpt"
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TP=8
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PP=1
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DISTRIBUTED_ARGS="
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--nproc_per_node $GPUS_PER_NODE \
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--nnodes $NUM_NODES \
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--master_addr $MASTER_ADDR \
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--master_port $MASTER_PORT \
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--node_rank $NODE_RANK
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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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--num-layers 8 \
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--hidden-size 12288 \
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--num-attention-heads 96 \
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--seq-length 2048 \
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--max-position-embeddings 2048 \
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--tokenizer-type GPT2BPETokenizer \
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--transformer-impl local \
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--micro-batch-size 1 \
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--global-batch-size 64 \
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--train-iters 2000 \
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--weight-decay 0.1 \
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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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--init-method-std 0.006 \
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--clip-grad 1.0 \
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--fp16 \
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--lr 6.0e-5 \
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--lr-decay-style cosine \
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--min-lr 6.0e-6 \
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--lr-warmup-fraction .001 \
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--lr-decay-iters 430000 \
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--no-load-optim \
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--no-load-rng \
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--no-gradient-accumulation-fusion \
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--no-masked-softmax-fusion \
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--attention-softmax-in-fp32 \
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--attention-dropout 0.0 \
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--hidden-dropout 0.0 \
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--use-flash-attn \
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--no-bias-gelu-fusion \
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--use-mc2
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"
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DATA_ARGS="
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--data-path $DATA_PATH
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--vocab-file $VOCAB_FILE
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--merge-file $MERGE_FILE
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--split 949,50,1
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"
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OUTPUT_ARGS="
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--log-interval 1
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--eval-interval 5000
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--eval-iters 1
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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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| tee ./logs/pretrain_gpt3_175B_8layers.log
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