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#!/bin/bash
#SBATCH <SLURM OPTIONS> --nodes=128 --exclusive --ntasks-per-node=8 --job-name=megatron_gpt3_175b
DIR=`pwd`
DATETIME=`date +'date_%y-%m-%d_time_%H-%M-%S'`
mkdir -p $DIR/logs
DATASET_1="<PATH TO THE FIRST DATASET>"
DATASET_2="<PATH TO THE SECOND DATASET>"
DATASET_3="<PATH TO THE THIRD DATASET>"
DATASET="0.2 ${DATASET_1} 0.3 ${DATASET_2} 0.5 ${DATASET_3}"
options=" \
--tensor-model-parallel-size 8 \
--pipeline-model-parallel-size 16 \
--num-layers 96 \
--hidden-size 12288 \
--num-attention-heads 96 \
--seq-length 2048 \
--max-position-embeddings 2048 \
--micro-batch-size 1 \
--global-batch-size 1536 \
--rampup-batch-size 16 16 5859375 \
--train-samples 146484375 \
--lr-decay-samples 126953125 \
--lr-warmup-samples 183105 \
--lr 6.0e-5 \
--min-lr 6.0e-6 \
--lr-decay-style cosine \
--log-interval 10 \
--eval-iters 40 \
--eval-interval 1000 \
--data-path ${DATASET} \
--vocab-file <PATH TO gpt-vocab.json> \
--merge-file <PATH TO gpt-merges.txt> \
--save-interval 1000 \
--save <PATH TO CHECKPOINTS DIRECTORY> \
--load <PATH TO CHECKPOINTS DIRECTORY> \
--split 98,2,0 \
--clip-grad 1.0 \
--weight-decay 0.1 \
--adam-beta1 0.9 \
--adam-beta2 0.95 \
--init-method-std 0.006 \
--tensorboard-dir <TENSORBOARD DIRECTORY> \
--fp16 \
--activations-checkpoint-method uniform "
run_cmd="python -u ${DIR}/pretrain_gpt.py $@ ${options}"
srun -l \
--container-image "nvcr.io/nvidia/pytorch:20.12-py3" \
--container-mounts "<DIRECTORIES TO MOUNT>" \
--output=$DIR/logs/%x_%j_$DATETIME.log sh -c "${run_cmd}"
set +x
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