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# Two GPUs are left for vLLM inference acceleration.
# pip install math_verify # reward function
# pip install -U trl
# GPU memory: 8 * 60GiB
MAX_PIXELS=602112 \
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 \
NPROC_PER_NODE=6 \
swift rlhf \
--rlhf_type grpo \
--model Qwen/Qwen2.5-VL-3B-Instruct \
--external_plugins examples/train/grpo/plugin/plugin.py \
--reward_funcs external_r1v_acc format \
--use_vllm true \
--train_type full \
--torch_dtype bfloat16 \
--dataset lmms-lab/multimodal-open-r1-8k-verified \
--max_completion_length 1536 \
--num_train_epochs 1 \
--per_device_train_batch_size 4 \
--per_device_eval_batch_size 4 \
--learning_rate 1e-7 \
--eval_steps 1000 \
--save_steps 1000 \
--save_total_limit 2 \
--logging_steps 5 \
--output_dir output \
--warmup_ratio 0.05 \
--dataloader_num_workers 4 \
--dataset_num_proc 4 \
--num_generations 24 \
--temperature 1.0 \
--top_p 0.9 \
--top_k 50 \
--async_generate true \
--system 'examples/train/grpo/prompt.txt' \
--deepspeed zero2 \
--log_completions true \
--num_iterations 1 \
--num_infer_workers 2 \
--report_to tensorboard wandb
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