#!/bin/bash #SBATCH --exclude=nid007571,nid007112,nid006774,nid007502,nid007506,nid007507,nid005145,nid006692,nid007218,nid007123,nid006124,nid006123,nid007496,nid007237,nid006852,nid007206,nid006947,nid007212,nid006977,nid007222,nid005444,nid007219,nid007493,nid007221,nid005300,nid005619,nid006118,nid005203,nid006113,nid006481,nid007077,nid005208,nid005207,nid005879,nid005901 #SBATCH --nodes=32 #SBATCH --ntasks-per-node=1 #SBATCH --cpus-per-task=32 #SBATCH --mem=256G #SBATCH -p standard-g #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 VARIANT=2b855b14bval VARIANT_CKPT=lm1-2b8-55b-c4-repetitions/2b855b14bc4 # if run without sbatch, invoke here if [ -z $SLURM_JOB_ID ]; then mkdir -p logs sbatch "$0" exit fi 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=$VARIANT_CKPT TENSORBOARD_PATH=tensorboard_$VARIANT # Data VOCAB_FILE="gpt2/vocab.json" MERGE_FILE="gpt2/merges.txt" #DATA_PATH="/scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document" TRAIN_DATA_PATH=train1b5.txt # "train: 1.0 0:1 /scratch/project_462000119/data/c4_subsampled/gpt2tok_c4_en_12B_text_document" VALID_DATA_PATH=val.txt # "validation: 1.0 0:1 /scratch/project_462000119/data/c4_validation/gpt2tok_c4validation_rerun_text_document" PP_SIZE=1 TP_SIZE=1 MICRO_BATCH_SIZE=2 GRADIENT_ACCUMULATION_STEPS=1 WORLD_SIZE=$((SLURM_GPUS_ON_NODE*SLURM_JOB_NUM_NODES)) GLOBAL_BATCH_SIZE=$((MICRO_BATCH_SIZE*WORLD_SIZE*GRADIENT_ACCUMULATION_STEPS)) # Model parameters source model_params.sh MODEL_PARAM=("${PARAM_2980M[@]}") NHIDDEN=${MODEL_PARAM[0]} FFN_HIDDEN_SIZE=${MODEL_PARAM[1]} KV_SIZE=${MODEL_PARAM[2]} NHEADS=${MODEL_PARAM[3]} NLAYERS=${MODEL_PARAM[4]} SEQ_LEN=2048 echo "Model parameters: d_model $NHIDDEN ffw_size $FFN_HIDDEN_SIZE kv_size $KV_SIZE n_heads $NHEADS n_layers $NLAYERS" SAVE_INTERVAL=1000 # Tokens: 35546190000 # -> Samples: 17356538 TRAIN_SAMPLES=1 OPTIMIZER_ARGS=" \ --optimizer adam \ --adam-beta1 0.9 \ --adam-beta2 0.999 \ --adam-eps 1e-8 \ --lr 2e-4 \ --min-lr 2e-5 \ --lr-decay-style cosine \ --lr-decay-samples $TRAIN_SAMPLES \ --lr-warmup-samples 0 \ --clip-grad 1.0 \ --weight-decay 1e-1 \ --override-lr-scheduler \ --reset-progress \ --no-load-optim \ " GPT_ARGS=" \ --num-layers $NLAYERS \ --hidden-size $NHIDDEN \ --num-attention-heads $NHEADS \ --kv-channels $KV_SIZE \ --ffn-hidden-size $FFN_HIDDEN_SIZE \ --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 \ --vocab-file $VOCAB_FILE \ --merge-file $MERGE_FILE \ --clip-grad 1.0 \ --kill-switch-path $KILL_SWITCH_PATH \ --bf16 \ $OPTIMIZER_ARGS \ " OUTPUT_ARGS=" \ --log-interval 10 \ --save-interval $SAVE_INTERVAL \ --eval-interval 1 \ --eval-iters 100 \ --eval-only true \ --tensorboard-dir $TENSORBOARD_PATH \ --tensorboard-queue-size 5 \ --log-timers-to-tensorboard \ --log-batch-size-to-tensorboard \ --log-validation-ppl-to-tensorboard \ " ZERO_STAGE=0 mkdir -p ds_configs DS_CONFIG_PATH="ds_configs/$SLURM_JOB_ID.json" cat < $DS_CONFIG_PATH { "train_micro_batch_size_per_gpu": $MICRO_BATCH_SIZE, "train_batch_size": $GLOBAL_BATCH_SIZE, "gradient_clipping": 1.0, "zero_optimization": { "stage": $ZERO_STAGE }, "bf16": { "enabled": true }, "steps_per_print": 2000, "wall_clock_breakdown": false } EOF DEEPSPEED_ARGS=" \ --deepspeed \ --deepspeed_config $DS_CONFIG_PATH \ --zero-stage $ZERO_STAGE \ " CMD=" \ Megatron-DeepSpeed/pretrain_gpt.py \ --tensor-model-parallel-size $TP_SIZE \ --pipeline-model-parallel-size $PP_SIZE \ $GPT_ARGS \ $OUTPUT_ARGS \ --save $CHECKPOINT_PATH \ --load $CHECKPOINT_PATH \ --train-weighted-split-paths-path $TRAIN_DATA_PATH \ --valid-weighted-split-paths-path $VALID_DATA_PATH \ --data-impl mmap \ $DEEPSPEED_ARGS \ " echo $CMD echo "START $SLURM_JOBID: $(date)" # bash launch_srun_32.sh $CMD srun --label launch.sh $CMD echo "END $SLURM_JOBID: $(date)"