wehub-resource-sync
44 lines
1.3 KiB
Bash
44 lines
1.3 KiB
Bash
# It's recommended to use server mode for multi-turn training
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# Colocate multi-turn does not support rollouts with dynamic rollout outputs
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CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 \
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NPROC_PER_NODE=8 \
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swift rlhf \
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--rlhf_type grpo \
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--model Qwen/Qwen2.5-3B-Instruct \
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--tuner_type full \
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--reward_funcs accuracy \
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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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--use_vllm true \
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--vllm_mode colocate \
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--vllm_gpu_memory_utilization 0.5 \
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--vllm_max_model_len 2048 \
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--vllm_tensor_parallel_size 4 \
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--num_train_epochs 1 \
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--max_length 2048 \
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--per_device_train_batch_size 4 \
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--per_device_eval_batch_size 4 \
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--gradient_accumulation_steps 1 \
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--eval_steps 1000 \
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--save_steps 1000 \
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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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--warmup_ratio 0.05 \
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--dataloader_num_workers 4 \
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--max_completion_length 2048 \
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--num_generations 32 \
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--deepspeed zero3 \
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--temperature 1.0 \
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--top_p 1.0 \
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--top_k 80 \
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--log_completions true \
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--offload_optimizer true \
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--offload_model true \
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--sleep_level 1 \
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--multi_turn_scheduler math_tip_trick \
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--max_turns 3
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