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pretrain_gpt_multilingual.sh
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pretrain_gpt_multilingual.sh
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#! /bin/bash
# Runs the "345M" parameter model
RANK=0
WORLD_SIZE=1
# paths to multilingual preprocessed datasets
DATA_PATH_EN=<Specify path and file prefix>_text_document
DATA_PATH_AR=<Specify path and file prefix>_text_document
DATA_PATH_KR=<Specify path and file prefix>_text_document
DATA_PATH_JP=<Specify path and file prefix>_text_document
CHECKPOINT_PATH=<Specify path>
deepspeed --num_gpus 1 pretrain_gpt.py \
--num-layers 24 \
--hidden-size 1024 \
--num-attention-heads 16 \
--micro-batch-size 4 \
--global-batch-size 8 \
--seq-length 1024 \
--max-position-embeddings 1024 \
--train-iters 500000 \
--lr-decay-iters 320000 \
--save $CHECKPOINT_PATH \
--load $CHECKPOINT_PATH \
--train-weighted-split-paths "TRAIN: 0.3 0:0.6 $DATA_EN 1 0:0.6 $DATA_AR 1 0:0.6 $DATA_KR 1 0:0.6 $DATA_JP" \
--valid-weighted-split-paths \
"VALID_EN: 1 0.6:0.8 $DATA_EN" \
"VALID_AR: 1 0.6:0.8 $DATA_AR" \
"VALID_JP: 1 0.6:0.8 $DATA_KR" \
"VALID_KR: 1 0.6:0.8 $DATA_JP" \
"VALID_EN-AR-JP-KR_BALANCED: 1 0.6:0.8 $DATA_EN, 1 0.6:0.8 $DATA_AR, 1 0.6:0.8 $DATA_JP, 1 0.6:0.8 $DATA_KR" \
--test-weighted-split-paths \
"TEST_EN: 1 0.8:1 $DATA_EN" \
"TEST_AR: 1 0.8:1 $DATA_AR" \
"TEST_JP: 1 0.8:1 $DATA_JP" \
"TEST_KR: 1 0.8:1 $DATA_KR" \
"TEST_EN-AR-JP-KR_BALANCED: 1 0.8:1 $DATA_EN, 1 0.8:1 $DATA_AR, 1 0.8:1 $DATA_JP, 1 0.8:1 $DATA_KR" \
--vocab-file gpt2-vocab.json \
--merge-file gpt2-merges.txt \
--data-impl mmap \
--split 949,50,1 \
--distributed-backend nccl \
--lr 0.00015 \
--min-lr 1.0e-5 \
--lr-decay-style cosine \
--weight-decay 1e-2 \
--clip-grad 1.0 \
--lr-warmup-fraction .01 \
--checkpoint-activations \
--log-interval 100 \
--save-interval 10000 \
--eval-interval 1000 \
--eval-iters 10 \
--fp16