134 lines
5.4 KiB
Bash
134 lines
5.4 KiB
Bash
#!/usr/bin/env bash
|
||
# =============================================================================
|
||
# launch_korean_1b.sh — 8-GPU FP8 pretraining launcher for 1B Korean LLM
|
||
#
|
||
# Usage:
|
||
# bash scripts/launch_korean_1b.sh # full run
|
||
# bash scripts/launch_korean_1b.sh --max_steps 500 # quick test
|
||
# bash scripts/launch_korean_1b.sh --resume checkpoints/korean_1b_fp8_run1/checkpoint-0010000
|
||
#
|
||
# Config is read from configs/korean_1b_fp8.yaml (model) + CLI args (train).
|
||
# Effective batch size: 8 (local) × 8 GPU × 4 (grad_accum) × 4096 (seq_len)
|
||
# = 1,048,576 tokens / step
|
||
# Logs: checkpoints/<RUN_NAME>/train.log
|
||
# checkpoints/<RUN_NAME>/tensorboard/
|
||
# =============================================================================
|
||
set -euo pipefail
|
||
|
||
# ---- Configurable defaults --------------------------------------------------
|
||
RUN_NAME="${RUN_NAME:-korean_1b_fp8_run1}"
|
||
CONFIG="${CONFIG:-configs/korean_1b_fp8.yaml}"
|
||
TRAIN_DATA="${TRAIN_DATA:-data/korean_train.bin}"
|
||
VAL_DATA="${VAL_DATA:-data/korean_val.bin}"
|
||
CKPT_DIR="checkpoints/${RUN_NAME}"
|
||
LOG_FILE="${CKPT_DIR}/train.log"
|
||
NPROC=8
|
||
MASTER_PORT="${MASTER_PORT:-29501}"
|
||
|
||
# ---- Defaults that can be overridden via extra CLI args --------------------
|
||
MAX_STEPS=34000 # 4 에포크 × 8.91B tokens = 35.6B (Muennighoff 2023: 4에포크 초과 시 val loss 상승)
|
||
BATCH_SIZE=8
|
||
GRAD_ACCUM=4
|
||
WARMUP_STEPS=2000 # 34k steps의 5.9% (기존 4000 = 11.8%로 과도)
|
||
SEED=42
|
||
|
||
# ---- Pass remaining CLI args directly to pretrain.py ----------------------
|
||
EXTRA_ARGS="$@"
|
||
|
||
# ---- B200 / NVSwitch single-node NCCL tuning --------------------------------
|
||
# Single-node NVSwitch (NV18 full-mesh): disable IB to prevent NCCL probing.
|
||
export NCCL_IB_DISABLE=1
|
||
# Use Ring algorithm for large gradient tensors (128M-70B model range).
|
||
export NCCL_ALGO=Ring
|
||
# Simple protocol is optimal for NVLink bulk transfers (vs LL/LL128 for IB).
|
||
export NCCL_PROTO=Simple
|
||
# More channels → better NVSwitch saturation for large all-reduce payloads.
|
||
export NCCL_MIN_NCHANNELS=16
|
||
export NCCL_MAX_NCHANNELS=16
|
||
# Larger NCCL buffer (64 MB) reduces ring synchronisation overhead.
|
||
export NCCL_BUFFSIZE=67108864
|
||
# CPU thread limits (72 cores ÷ 8 ranks = 9; use 4 for DataLoader headroom).
|
||
export OMP_NUM_THREADS=4
|
||
export MKL_NUM_THREADS=4
|
||
|
||
# ---- Setup ------------------------------------------------------------------
|
||
cd "$(dirname "$0")/.." # always run from project root
|
||
|
||
# ---- Pre-flight check: Korean data must exist before launching --------------
|
||
if [[ ! -f "${TRAIN_DATA}" ]]; then
|
||
echo "=================================================================="
|
||
echo " ERROR: Training data not found: ${TRAIN_DATA}"
|
||
echo ""
|
||
echo " You need to run the Korean data pipeline first."
|
||
echo " Example steps:"
|
||
echo " 1. Download / prepare raw Korean corpus"
|
||
echo " 2. Tokenise and pack into binary format:"
|
||
echo " python data/prepare_korean.py --output data/korean_train.bin"
|
||
echo " 3. Re-run this script once the file exists."
|
||
echo "=================================================================="
|
||
exit 1
|
||
fi
|
||
|
||
if [[ ! -f "${VAL_DATA}" ]]; then
|
||
echo "=================================================================="
|
||
echo " ERROR: Validation data not found: ${VAL_DATA}"
|
||
echo ""
|
||
echo " You need to run the Korean data pipeline first."
|
||
echo " Example steps:"
|
||
echo " 1. Download / prepare raw Korean corpus"
|
||
echo " 2. Tokenise and pack into binary format (val split):"
|
||
echo " python data/prepare_korean.py --output_val data/korean_val.bin"
|
||
echo " 3. Re-run this script once the file exists."
|
||
echo "=================================================================="
|
||
exit 1
|
||
fi
|
||
|
||
mkdir -p "${CKPT_DIR}"
|
||
|
||
echo "=================================================================="
|
||
echo " Run name : ${RUN_NAME}"
|
||
echo " Config : ${CONFIG}"
|
||
echo " Train data : ${TRAIN_DATA}"
|
||
echo " Val data : ${VAL_DATA}"
|
||
echo " CKPT dir : ${CKPT_DIR}"
|
||
echo " Log file : ${LOG_FILE}"
|
||
echo " Max steps : ${MAX_STEPS}"
|
||
echo " Batch size : ${BATCH_SIZE} (local) × ${NPROC} GPU × ${GRAD_ACCUM} grad_accum"
|
||
echo " Warmup : ${WARMUP_STEPS} steps"
|
||
echo " Master port : ${MASTER_PORT}"
|
||
echo " Started : $(date)"
|
||
echo "=================================================================="
|
||
|
||
# Suppress the harmless flash_attn kernel override warning from all ranks.
|
||
export PYTHONWARNINGS="ignore::UserWarning:torch.library"
|
||
|
||
torchrun \
|
||
--nproc_per_node=${NPROC} \
|
||
--master_port=${MASTER_PORT} \
|
||
train/pretrain.py \
|
||
--config "${CONFIG}" \
|
||
--train_data "${TRAIN_DATA}" \
|
||
--val_data "${VAL_DATA}" \
|
||
--checkpoint_dir "${CKPT_DIR}" \
|
||
--log_file "${LOG_FILE}" \
|
||
--max_steps ${MAX_STEPS} \
|
||
--batch_size ${BATCH_SIZE} \
|
||
--grad_accum ${GRAD_ACCUM} \
|
||
--warmup_steps ${WARMUP_STEPS} \
|
||
--seed ${SEED} \
|
||
${EXTRA_ARGS} \
|
||
2>&1 | grep -v "UserWarning" \
|
||
| grep -v "Warning only once" \
|
||
| grep -v "Overriding a previously" \
|
||
| grep -v "dispatch key:" \
|
||
| grep -v "previous kernel:" \
|
||
| grep -v "new kernel:" \
|
||
| grep -v "operator: flash_attn" \
|
||
| grep -v "registered at /usr/local" \
|
||
| grep -v "self.m.impl" \
|
||
| tee -a "${LOG_FILE}"
|
||
|
||
echo "=================================================================="
|
||
echo " Done : $(date)"
|
||
echo "=================================================================="
|