wehub-resource-sync
42 lines
1.2 KiB
Bash
42 lines
1.2 KiB
Bash
NPROC_PER_NODE=4 \
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PYTORCH_CUDA_ALLOC_CONF='expandable_segments:True' \
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CUDA_VISIBLE_DEVICES=0,1,2,3 \
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swift rlhf \
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--rlhf_type gkd \
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--model Qwen/Qwen3.5-2B \
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--teacher_model Qwen/Qwen3.5-9B \
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--tuner_type lora \
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--dataset 'AI-ModelScope/NuminaMath-TIR#5000' \
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--lmbda 1 \
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--beta 0.5 \
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--temperature 1.0 \
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--torch_dtype bfloat16 \
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--max_steps 200 \
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--per_device_train_batch_size 4 \
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--learning_rate 5e-6 \
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--gradient_accumulation_steps 1 \
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--save_steps 200 \
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--save_total_limit 1 \
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--logging_steps 5 \
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--max_length 4096 \
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--max_completion_length 2048 \
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--output_dir output \
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--warmup_ratio 0.05 \
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--save_only_model true \
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--dataloader_num_workers 4 \
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--dataset_num_proc 4 \
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--deepspeed zero3 \
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--attn_impl flash_attn \
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--teacher_deepspeed zero3_offload \
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--use_vllm true \
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--vllm_mode colocate \
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--vllm_gpu_memory_utilization 0.3 \
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--vllm_max_model_len 8192 \
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--sleep_level 1 \
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--enable_thinking false \
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--loss_scale last_round \
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--multi_turn_scheduler math_tip_trick \
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--max_turns 2 \
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--truncation_strategy delete \
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--log_completions true
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