| set -x | |
| MODEL_PATH=Qwen/Qwen2.5-VL-3B-Instruct # replace it with your local file path | |
| SYSTEM_PROMPT="""A conversation between User and Assistant. The user asks a question, and the Assistant solves it. The assistant | |
| first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning | |
| process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., | |
| <think> reasoning process here </think><answer> answer here </answer>""" | |
| python3 -m verl.trainer.main \ | |
| config=examples/config.yaml \ | |
| data.train_files=BUAADreamer/clevr_count_70k@train \ | |
| data.val_files=BUAADreamer/clevr_count_70k@test \ | |
| data.system_prompt="${SYSTEM_PROMPT}" \ | |
| worker.actor.model.model_path=${MODEL_PATH} \ | |
| worker.rollout.tensor_parallel_size=1 \ | |
| worker.rollout.enable_chunked_prefill=false \ | |
| worker.reward.compute_score=r1v \ | |
| trainer.experiment_name=qwen2_5_vl_3b_clevr \ | |
| trainer.n_gpus_per_node=2 | |