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Muennighoff commited on
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Add script

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  1. to_meg_ru.slurm +110 -0
to_meg_ru.slurm ADDED
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+ #!/bin/bash
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+ #SBATCH --ntasks=1 # number of MP tasks
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+ #SBATCH --nodes=1
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+ #SBATCH --cpus-per-task=64 # number of cores per tasks
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+ #SBATCH --hint=nomultithread # we get physical cores not logical
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+ #SBATCH --time=20:00:00 # maximum execution time (HH:MM:SS)
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+ #SBATCH --output=%x-%j.out # output file name
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+ #SBATCH --account=project_462000119
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+ #SBATCH --partition=small
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+
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+ set -x -e
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+
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+ #source $six_ALL_CCFRWORK/start-tr13f-6B3-ml-t0
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+ source /scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/bin/activate
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+ export HF_DATASETS_OFFLINE=1
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+ export TRANSFORMERS_OFFLINE=1
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+
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+ #MEGATRON_DEEPSPEED_REPO=$six_ALL_CCFRWORK/code/tr13f-6B3-ml-t0/Megatron-DeepSpeed
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+ MEGATRON_DEEPSPEED_REPO=/scratch/project_462000119/muennighoff/nov-2022-mtf/Megatron-DeepSpeed
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+
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+ TOKENIZER_PATH="bigscience/tokenizer"
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+
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+ LANGS=(
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+ ak
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+ ar
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+ as
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+ bm
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+ bn
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+ ca
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+ code
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+ en
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+ es
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+ eu
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+ fon
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+ fr
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+ gu
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+ hi
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+ id
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+ ig
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+ ki
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+ kn
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+ lg
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+ ln
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+ ml
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+ mr
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+ ne
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+ nso
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+ ny
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+ or
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+ pa
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+ pt
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+ rn
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+ rw
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+ sn
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+ st
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+ sw
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+ ta
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+ te
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+ tn
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+ ts
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+ tum
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+ tw
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+ ur
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+ vi
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+ wo
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+ xh
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+ yo
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+ zh
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+ zu
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+ )
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+
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+ LANGS=(
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+ ru
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+ )
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+
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+ #DATA_PATH=/gpfswork/rech/six/commun/bigscience-training/jsonls/xp3cappedmixednewcodelong
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+ #OUTPUT=/gpfswork/rech/six/commun/bigscience-training/xp3cappedmixednewcodelong
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+ DATA_PATH=/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3ru/ru
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+ OUTPUT=/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3rumegds
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+
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+ mkdir -p $OUTPUT
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+
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+ for val in {0..1}; do
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+ LANG=${LANGS[$val]}
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+ cd $DATA_PATH
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+ # Merge
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+ cat *.jsonl > merged_dups_$LANG.jsonl
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+ # Drop duplicates (~1G / 37G for en) + Shuffle
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+ sort -u merged_dups_$LANG.jsonl | shuf > merged_$LANG.jsonl
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+ cd $MEGATRON_DEEPSPEED_REPO
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+ python tools/preprocess_data.py \
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+ --input $DATA_PATH/merged_$LANG.jsonl \
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+ --output-prefix $OUTPUT/xp3_$LANG \
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+ --dataset-impl mmap \
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+ --json-key inputs \
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+ --tokenizer-type PretrainedFromHF \
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+ --tokenizer-name-or-path $TOKENIZER_PATH \
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+ --workers 60
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+ python tools/preprocess_data.py \
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+ --input $DATA_PATH/merged_$LANG.jsonl \
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+ --output-prefix $OUTPUT/xp3_$LANG \
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+ --dataset-impl mmap \
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+ --json-key targets \
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+ --tokenizer-type PretrainedFromHF \
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+ --tokenizer-name-or-path $TOKENIZER_PATH \
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+ --append-eod \
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+ --prepend-space \
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+ --workers 60
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+ done
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+