sbatch_mtf_xp3ru.sh

#!/bin/bash
#SBATCH --nodes=8
#SBATCH --ntasks-per-node=1
#SBATCH --cpus-per-task=32
#SBATCH --mem=256G
#SBATCH -p pilot
#SBATCH -t 48:00:00
#SBATCH --gpus-per-node=mi250:8
#SBATCH --exclusive=user
#SBATCH --hint=nomultithread
#SBATCH --account=project_462000119
#SBATCH -o logs/%j.out
#SBATCH -e logs/%j.err

# if run without sbatch, invoke here
#if [ -z $SLURM_JOB_ID ]; then
#    mkdir -p logs
#    sbatch "$0"
#    exit
#fi

VARIANT=7b1xp3ru

set -euo pipefail

# symlink logs/latest.out and logs/latest.err
ln -f -s $SLURM_JOB_ID.out logs/latest.out
ln -f -s $SLURM_JOB_ID.err logs/latest.err

KILL_SWITCH_PATH=kill-switch-$VARIANT
CHECKPOINT_PATH=checkpoints_$VARIANT
TENSORBOARD_PATH=tensorboard_$VARIANT

# Data
TOKENIZER_NAME_OR_PATH=bigscience/tokenizer

TRAIN_DATA_PATH=/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3_train_ru.txt
VALID_DATA_PATH=/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3_validation_ru.txt

PP_SIZE=1
TP_SIZE=1

MICRO_BATCH_SIZE=2
GRADIENT_ACCUMULATION_STEPS=16
WORLD_SIZE=$((SLURM_GPUS_ON_NODE*SLURM_JOB_NUM_NODES))
GLOBAL_BATCH_SIZE=$((MICRO_BATCH_SIZE*WORLD_SIZE*GRADIENT_ACCUMULATION_STEPS))

# Model parameters
NLAYERS=30
NHIDDEN=4096
NHEADS=32
SEQ_LEN=2048

TRAIN_SAMPLES=6_348_800

SAVE_INTERVAL=500

ZERO_STAGE=1

mkdir -p ds_configs
config_json="ds_configs/$SLURM_JOB_ID.json"

cat <<EOT > $config_json
{
  "train_micro_batch_size_per_gpu": $MICRO_BATCH_SIZE,
  "train_batch_size": $GLOBAL_BATCH_SIZE,
  "gradient_clipping": 1.0,
  "zero_optimization": {
    "stage": $ZERO_STAGE
  },
  "fp16": {
    "enabled": true,
    "loss_scale": 0,
    "loss_scale_window": 500,
    "hysteresis": 2,
    "min_loss_scale": 1,
    "initial_scale_power": 12
  },
  "steps_per_print": 2000,
  "wall_clock_breakdown": false
}
EOT


CMD=" \
    Megatron-DeepSpeed/finetune_t0.py \
    --tensor-model-parallel-size $TP_SIZE \
    --pipeline-model-parallel-size $PP_SIZE \
    --num-layers $NLAYERS \
    --hidden-size $NHIDDEN \
    --num-attention-heads $NHEADS \
    --seq-length $SEQ_LEN \
    --max-position-embeddings $SEQ_LEN \
    --micro-batch-size $MICRO_BATCH_SIZE \
    --global-batch-size $GLOBAL_BATCH_SIZE \
    --train-samples $TRAIN_SAMPLES \
    --tokenizer-type PretrainedFromHF \
    --tokenizer-name-or-path $TOKENIZER_NAME_OR_PATH \
    --init-method-std 0.0048 \
    --embed-layernorm \
    --fp16 \
    --seed 42 \
    --position-embedding-type alibi \
    --abort-on-unmet-fused-kernel-constraints \
    --clip-grad 1.0 \
    --kill-switch-path $KILL_SWITCH_PATH \
    --checkpoint-activations \
    --pad-vocab-size-to 250880 \
    --optimizer adam \
    --adam-beta1 0.9 \
    --adam-beta2 0.95 \
    --adam-eps 1e-8 \
    --lr 2e-5 \
    --lr-decay-style constant \
    --lr-warmup-samples 0 \
    --clip-grad 1.0 \
    --weight-decay 1e-4 \
    --no-load-optim \
    --reset-progress \
    --norm-target-loss \
    --log-interval 10 \
    --save-interval $SAVE_INTERVAL \
    --eval-interval 500 \
    --eval-iters 1 \
    --tensorboard-dir $TENSORBOARD_PATH \
    --tensorboard-queue-size 5 \
    --log-timers-to-tensorboard \
    --log-batch-size-to-tensorboard \
    --log-validation-ppl-to-tensorboard \
    --save $CHECKPOINT_PATH \
    --load $CHECKPOINT_PATH \
    --train-weighted-split-paths-path $TRAIN_DATA_PATH \
    --valid-weighted-split-paths-path $VALID_DATA_PATH \
    --dataloader-type single \
    --data-impl mmap \
    --deepspeed \
    --deepspeed_config $config_json \
    --zero-stage $ZERO_STAGE \
    "

echo $CMD

echo "START $SLURM_JOBID: $(date)"

srun --label launch.sh $CMD

echo "END $SLURM_JOBID: $(date)"