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