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modelscope--ms-swift/examples/train/multi-node/dlc/train.sh
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# For more information, visit: https://www.aliyun.com/activity/bigdata/pai-dlc
# https://help.aliyun.com/zh/pai/user-guide/general-environment-variables
NNODES=$WORLD_SIZE \
NODE_RANK=$RANK \
swift sft \
--model Qwen/Qwen2.5-7B-Instruct \
--tuner_type full \
--dataset 'AI-ModelScope/alpaca-gpt4-data-zh#20000' \
'AI-ModelScope/alpaca-gpt4-data-en#20000' \
--load_from_cache_file true \
--split_dataset_ratio 0.01 \
--torch_dtype bfloat16 \
--num_train_epochs 1 \
--per_device_train_batch_size 1 \
--per_device_eval_batch_size 1 \
--learning_rate 1e-5 \
--gradient_accumulation_steps 4 \
--eval_steps 100 \
--save_steps 100 \
--save_total_limit 2 \
--logging_steps 5 \
--max_length 8192 \
--output_dir output \
--system 'You are a helpful assistant.' \
--warmup_ratio 0.05 \
--dataloader_num_workers 4 \
--deepspeed zero2