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# This script is used in DLC (Deep Learning Containers)
# For more information, visit:https://www.aliyun.com/activity/bigdata/pai-dlc
NNODES=$WORLD_SIZE \
NODE_RANK=$RANK \
PYTHONPATH=. \
torchrun \
--nproc_per_node=8 \
--nnodes=${WORLD_SIZE} \
--node_rank=${RANK} \
swift/cli/rlhf.py \
--rlhf_type grpo \
--model Qwen/Qwen2.5-7B \
--train_type full \
--dataset AI-MO/NuminaMath-TIR#10000 \
--torch_dtype bfloat16 \
--system examples/train/grpo/prompt.txt \
--num_train_epochs 1 \
--max_length 2048 \
--vllm_max_model_len 2048 \
--per_device_train_batch_size 4 \
--per_device_eval_batch_size 4 \
--learning_rate 1e-6 \
--save_total_limit 2 \
--logging_steps 5 \
--output_dir output \
--gradient_accumulation_steps 1 \
--warmup_ratio 0.05 \
--dataloader_num_workers 4 \
--max_completion_length 2048 \
--reward_funcs accuracy format \
--num_generations 48 \
--use_vllm true \
--vllm_gpu_memory_utilization 0.3 \
--sleep_level 1 \
--deepspeed zero3_offload \
--num_infer_workers 8 \
--tensor_parallel_size 4 \
--temperature 1.0 \
--top_p 0.85
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