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5d30c32 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 | CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 \
NPROC_PER_NODE=8 \
swift rlhf \
--rlhf_type grpo \
--advantage_estimator rloo \
--kl_in_reward true \
--model Qwen/Qwen2.5-VL-3B-Instruct \
--external_plugins examples/train/grpo/plugin/plugin.py \
--reward_funcs external_r1v_acc format \
--use_vllm true \
--vllm_mode colocate \
--vllm_gpu_memory_utilization 0.4 \
--vllm_tensor_parallel_size 1 \
--vllm_max_model_len 16384 \
--tuner_type lora \
--torch_dtype bfloat16 \
--dataset 'AI-ModelScope/clevr_cogen_a_train' \
--overlong_filter false \
--epsilon 3e-4 \
--epsilon_high 4e-4 \
--max_completion_length 1024 \
--num_train_epochs 1 \
--per_device_train_batch_size 2 \
--learning_rate 1e-6 \
--gradient_accumulation_steps 4 \
--eval_steps 1000 \
--save_steps 1000 \
--save_total_limit 10 \
--sleep_level 1 \
--offload_model true \
--offload_optimizer true \
--logging_steps 1 \
--dataloader_num_workers 4 \
--num_generations 16 \
--temperature 1.0 \
--system 'examples/train/grpo/prompt.txt' \
--deepspeed zero2 \
--log_completions true \
--report_to tensorboard swanlab \
--num_iterations 1 \
--async_generate false \
--beta 0.001 \
--attn_impl flash_attention_2 \
--padding_free true \
--loss_type grpo
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