48 lines
1.5 KiB
Bash
Executable File
48 lines
1.5 KiB
Bash
Executable File
#!/usr/bin/env bash
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set -euo pipefail
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# 1) 可选：若含 API Key，保护权限
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[ -f .deepspeed_env ] && chmod 600 .deepspeed_env
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# 2) 注入统一环境（供所有 rank 继承）
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set -a
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. ./.deepspeed_env
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set +a
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# unset PYTHONNOUSERSITE
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# USER_SITE=$(python3 -c 'import site;print(site.getusersitepackages())')
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# export PATH="$HOME/.local/bin:$PATH"
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# export PYTHONPATH="$USER_SITE:/home/test/jd_train:${PYTHONPATH:-}"
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# 统一环境（会被 deepspeed 的 ssh 继承到各节点）
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unset DS_BUILD_OPS DS_SKIP_CUDA_BUILD PYTHONNOUSERSITE
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export TORCH_EXTENSIONS_DIR=/tmp/$USER/torch_ext
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export PYTORCH_CUDA_ALLOC_CONF="max_split_size_mb:128,expandable_segments:True,garbage_collection_threshold:0.9"
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export OMP_NUM_THREADS=8
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export MKL_NUM_THREADS=8
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export OPENBLAS_NUM_THREADS=8
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deepspeed --hostfile hostfile \
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--num_nodes 6 --num_gpus 4 \
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/home/test/jd_train/train_sft_ds.py \
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--model_name_or_path /home/test/Qwen3-32B \
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--data_glob "/home/test/datasets/my_corpus/train.jsonl" \
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--output_dir /home/test/checkpoints/q3-32b-ds4 \
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--seq_len 512 \
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--per_device_train_batch_size 1 \
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--gradient_accumulation_steps 1 \
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--learning_rate 2e-5 --weight_decay 0.1 --warmup_ratio 0.02 \
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--max_steps 20 \
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--log_interval 1 \
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--gradient_checkpointing \
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--bf16 \
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--deepspeed /home/test/jd_train/ds_config_zero3.json \
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--report_to wandb \
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--wandb_project ds-qwen3 \
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--eval_steps 10 \
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--eval_data_glob "/home/test/datasets/my_corpus/test.jsonl"
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