wehub-resource-sync
41 lines
1.1 KiB
Bash
41 lines
1.1 KiB
Bash
# 8 * 80 G (6 for training, 2 for rollout)
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# CUDA_VISIBLE_DEVICES=6,7 \
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# swift rollout \
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# --model Qwen/Qwen2.5-7B-Instruct \
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# --data_parallel_size 2
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CUDA_VISIBLE_DEVICES=0,1,2,3,4,5 \
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NPROC_PER_NODE=6 \
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swift rlhf \
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--rlhf_type grpo \
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--model Qwen/Qwen2.5-7B-Instruct \
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--reward_funcs accuracy \
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--use_vllm true \
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--vllm_mode server \
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--vllm_server_host 127.0.0.1 \
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--vllm_server_port 8000 \
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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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--load_from_cache_file true \
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--split_dataset_ratio 0 \
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--max_completion_length 2048 \
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--num_train_epochs 3 \
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--per_device_train_batch_size 2 \
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--learning_rate 1e-6 \
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--gradient_accumulation_steps 2 \
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--save_total_limit 2 \
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--logging_steps 1 \
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--warmup_ratio 0.05 \
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--dataloader_num_workers 4 \
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--dataset_num_proc 4 \
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--num_generations 8 \
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--temperature 1.0 \
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--top_p 0.9 \
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--top_k 50 \
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--deepspeed zero2 \
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--log_completions true \
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--num_iterations 1 \
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--report_to tensorboard wandb \
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--beta 0.04
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