wehub-resource-sync
41 lines
1.1 KiB
Bash
41 lines
1.1 KiB
Bash
# 8*80G
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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/Qwen3-30B-A3B-Instruct-2507 \
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--reward_funcs accuracy \
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--use_vllm true \
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--vllm_mode colocate \
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--vllm_gpu_memory_utilization 0.4 \
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--vllm_tensor_parallel_size 2 \
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--vllm_max_model_len 16384 \
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--tuner_type full \
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--torch_dtype bfloat16 \
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--dataset AI-MO/NuminaMath-TIR#1000 \
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--max_length 12000 \
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--max_completion_length 8192 \
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--overlong_filter true \
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--num_train_epochs 1 \
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--per_device_train_batch_size 1 \
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--learning_rate 1e-6 \
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--gradient_accumulation_steps 4 \
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--save_strategy 'steps' \
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--eval_strategy 'steps' \
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--eval_steps 1000 \
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--save_steps 1000 \
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--save_total_limit 10 \
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--logging_steps 1 \
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--warmup_ratio 0.01 \
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--dataloader_num_workers 4 \
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--num_generations 16 \
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--temperature 1.0 \
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--deepspeed zero3_offload \
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--log_completions true \
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--sleep_level 1 \
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--report_to tensorboard swanlab \
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--num_iterations 1 \
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--beta 0.001 \
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--move_model_batches 10
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