text: #!/bin/bash
  
  GPUS_PER_NODE=8
  # Change for multinode config
  MASTER_ADDR=localhost
  MASTER_PORT=6000
  NNODES=1
  NODE_RANK=0
  WORLD_SIZE=$(($GPUS_PER_NODE*$NNODES))
  
  DATA_PATH=<Specify path and file prefix>_text_sentence
  CHECKPOINT_PATH=<Specify path>
  
  DISTRIBUTED_ARGS="--nproc_per_node $GPUS_PER_NODE --nnodes $NNODES --node_rank $NODE_RANK --master_addr $MASTER_ADDR --master_port $MASTER_PORT"
  
  python -m torch.distributed.launch $DISTRIBUTED_ARGS \
         pretrain_bert.py \
         --model-parallel-size 1 \
         --num-layers 24 \
         --hidden-size 1024 \
         --num-attention-heads 16 \
         --batch-size 4 \
         --seq-length 512 \
         --max-position-embeddings 512 \
         --train-iters 1000000 \
         --save $CHECKPOINT_PATH \
         --load $CHECKPOINT_PATH \
         --data-path $DATA_PATH \
         --vocab-file bert-vocab.txt \
         --data-impl mmap \
         --split 949,50,1 \
         --distributed-backend nccl \
         --lr 0.0001 \
         --lr-decay-style linear \
         --min-lr 1.0e-5 \
         --lr-decay-iters 990000 \
         --weight-decay 1e-2 \
         --clip-grad 1.0 \
         --warmup .01 \
         --log-interval 100 \
         --save-interval 10000 \
         --eval-interval 1000 \
         --eval-iters 10 \
         --fp16
  