59 lines
2.1 KiB
Bash
59 lines
2.1 KiB
Bash
#!/usr/bin/env bash
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set -euo pipefail
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# 可选：调试输出
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# [ "${DEBUG:-0}" = "1" ] && set -x
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export NCCL_DEBUG=INFO
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# 如走 IB/RoCE，请按实际网卡开启：
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# export NCCL_IB_HCA="mlx5_0,mlx5_1"
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# export NCCL_SOCKET_IFNAME="ib0"
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# 纯以太：
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# export NCCL_SOCKET_IFNAME="eth0"
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# 解析脚本目录，避免相对路径问题
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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DS_CONFIG="${DS_CONFIG:-$SCRIPT_DIR/ds_config_zero3.json}"
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# ==== 超参数（本地路径；可用 VAR=xxx ./launch_ds.sh 覆写）====
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MODEL_NAME_OR_PATH="${MODEL_NAME_OR_PATH:-/home/test/Qwen3-8B}"
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DATA_GLOB="${DATA_GLOB:-$HOME/datasets/my_corpus/*.jsonl}" # 每台机器都放相同路径
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OUTDIR="${OUTDIR:-$HOME/checkpoints/run-qwen3-8b}" # 每台机器各自本地输出
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SEQ_LEN="${SEQ_LEN:-4096}"
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LR="${LR:-2e-5}"
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GAS="${GAS:-64}"
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LOG_STEPS="${LOG_STEPS:-10}"
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SAVE_STEPS="${SAVE_STEPS:-500}"
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MAX_STEPS="${MAX_STEPS:-10000}"
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# 轻量校验（只在发起节点做；远端各 rank 会在各自脚本里也 mkdir）
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[ -d "$MODEL_NAME_OR_PATH" ] || { echo "ERR: model not found at $MODEL_NAME_OR_PATH"; exit 1; }
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[ -f "$DS_CONFIG" ] || { echo "ERR: deepspeed config not found at $DS_CONFIG"; exit 1; }
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# 数据是通配符，这里只做一次“至少匹配到 1 个文件”的检查（发起节点）；各节点需自行确保相同路径存在
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shopt -s nullglob
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matches=( $DATA_GLOB )
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if [ ${#matches[@]} -eq 0 ]; then
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echo "WARN: no files matched by DATA_GLOB=$DATA_GLOB on this node (确保每台机器该路径下有数据)"
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fi
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shopt -u nullglob
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mkdir -p "${OUTDIR}"
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# ==== 多机 DeepSpeed ====
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deepspeed --hostfile "$SCRIPT_DIR/hostfile" "$SCRIPT_DIR/train_sft_ds.py" \
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--model_name_or_path "${MODEL_NAME_OR_PATH}" \
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--data_glob "${DATA_GLOB}" \
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--output_dir "${OUTDIR}" \
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--seq_len "${SEQ_LEN}" \
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--learning_rate "${LR}" \
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--gradient_accumulation_steps "${GAS}" \
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--per_device_train_batch_size 1 \
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--warmup_ratio 0.02 \
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--weight_decay 0.1 \
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--max_steps "${MAX_STEPS}" \
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--log_interval "${LOG_STEPS}" \
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--save_steps "${SAVE_STEPS}" \
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--deepspeed "${DS_CONFIG}" \
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--gradient_checkpointing \
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--bf16
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