Add script

to_meg_ru.slurm

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