File size: 2,138 Bytes
9605203 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 |
#!/bin/bash
#SBATCH --job-name=xp3jsonl # job name
#SBATCH --ntasks=1 # number of MP tasks
#SBATCH --nodes=1
#SBATCH --cpus-per-task=40 # number of cores per tasks
#SBATCH --hint=nomultithread # we get physical cores not logical
#SBATCH --time=100:00:00 # maximum execution time (HH:MM:SS)
#SBATCH --output=%x-%j.out # output file name
#SBATCH --account=six@cpu
#SBATCH --partition=cpu_p1
set -x -e
source $six_ALL_CCFRWORK/start-tr13f-6B3-ml-t0
export HF_DATASETS_OFFLINE=1
export TRANSFORMERS_OFFLINE=1
MEGATRON_DEEPSPEED_REPO=$six_ALL_CCFRWORK/code/tr13f-6B3-ml-t0/Megatron-DeepSpeed
cd $MEGATRON_DEEPSPEED_REPO
DATA_PATH=/gpfswork/rech/six/commun/bigscience-training/jsonls/p31t0/p31t0_train.jsonl
OUTPUT=/gpfswork/rech/six/commun/bigscience-training/p31t0eos/p31t0_train
TOKENIZER_PATH="bigscience/tokenizer"
python tools/preprocess_data.py \
--input $DATA_PATH \
--output-prefix $OUTPUT \
--dataset-impl mmap \
--json-key inputs \
--tokenizer-type PretrainedFromHF \
--tokenizer-name-or-path $TOKENIZER_PATH \
--append-eod \
--workers 35
python tools/preprocess_data.py \
--input $DATA_PATH \
--output-prefix $OUTPUT \
--dataset-impl mmap \
--json-key targets \
--tokenizer-type PretrainedFromHF \
--tokenizer-name-or-path $TOKENIZER_PATH \
--append-eod \
--workers 35
DATA_PATH=/gpfswork/rech/six/commun/bigscience-training/jsonls/p31t0/p31t0_validation.jsonl
OUTPUT=/gpfswork/rech/six/commun/bigscience-training/p31t0eos/p31t0_validation
TOKENIZER_PATH="bigscience/tokenizer"
python tools/preprocess_data.py \
--input $DATA_PATH \
--output-prefix $OUTPUT \
--dataset-impl mmap \
--json-key inputs \
--tokenizer-type PretrainedFromHF \
--tokenizer-name-or-path $TOKENIZER_PATH \
--append-eod \
--workers 35
python tools/preprocess_data.py \
--input $DATA_PATH \
--output-prefix $OUTPUT \
--dataset-impl mmap \
--json-key targets \
--tokenizer-type PretrainedFromHF \
--tokenizer-name-or-path $TOKENIZER_PATH \
--append-eod \
--workers 35
|