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#!/bin/bash
# SLURM options.
export SLURM_PARTITION=<slurm partition, used to feed -p option in slurm>
export SLURM_ACCOUNT=<slurm account, used to feed -A option in slurm>
# Source code.
export MEGATRON_CODE_DIR=<megatron source code directory>
# This variable is used to mount the relevant part of the filesystem
# inside the docker container. Note that the `MEGATRON_CODE_DIR` and the
# launch directory already get mounted; this variable should be used to
# mount the directories that contain the data and tokenizer files.
export DOCKER_MOUNT_DIR=<megatron dataset and bpe tokenizer vocab path>
# Data and tokenizer files.
MEGATRON_DATA=<path to megatron processed data>
BPE_VOCAB_FILE=<path to bpe vocab file>
BPE_MERGE_FILE=<path to bpe merges file>
# Megatron input parameters.
# `MEGATRON_EXTRA_PARAMS` can be used to provide any extra parameters
# that are not listed here.
export MEGATRON_PARAMS=" ${MEGATRON_EXTRA_PARAMS} \
--tensor-model-parallel-size ${TP} \
--pipeline-model-parallel-size ${PP} \
--micro-batch-size ${MBS} \
--global-batch-size ${GBS} \
--num-layers ${NLS} \
--hidden-size ${HS} \
--num-attention-heads ${NAH} \
--DDP-impl ${DDP} \
--data-path ${MEGATRON_DATA} \
--vocab-file ${BPE_VOCAB_FILE} \
--merge-file ${BPE_MERGE_FILE} \
--log-interval 5 \
--seq-length 2048 \
--max-position-embeddings 2048 \
--train-iters 500 \
--lr-decay-iters 320 \
--lr 0.0001 \
--min-lr 0.00001 \
--lr-decay-style cosine \
--lr-warmup-fraction 0.01 \
--split 969,30,1 \
--eval-iters 100 \
--eval-interval 1000 \
--clip-grad 1.0 \
--fp16 \
--loss-scale 8192 "
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