set -x python3 -m verl.trainer.main_ppo \ algorithm.adv_estimator=grpo \ data.train_files=$HOME/data/geo3k/train.parquet \ data.val_files=$HOME/data/geo3k/test.parquet \ data.train_batch_size=128 \ data.max_prompt_length=1024 \ data.max_response_length=2048 \ data.filter_overlong_prompts=False \ data.truncation='error' \ data.image_key=images \ data.trust_remote_code=True \ data.custom_cls.path=recipe/minicpmo/rl_dataset.py \ data.custom_cls.name=RLHFDataset \ actor_rollout_ref.model.path=openbmb/MiniCPM-o-2_6 \ actor_rollout_ref.model.trust_remote_code=True \ actor_rollout_ref.model.use_remove_padding=True \ actor_rollout_ref.model.enable_gradient_checkpointing=True \ actor_rollout_ref.actor.optim.lr=1e-6 \ actor_rollout_ref.actor.ppo_mini_batch_size=32 \ actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=16 \ actor_rollout_ref.actor.use_kl_loss=True \ actor_rollout_ref.actor.use_dynamic_bsz=False \ actor_rollout_ref.actor.kl_loss_coef=0.001 \ actor_rollout_ref.actor.kl_loss_type=low_var_kl \ actor_rollout_ref.actor.fsdp_config.param_offload=False \ actor_rollout_ref.actor.fsdp_config.optimizer_offload=False \ actor_rollout_ref.actor.fsdp_config.use_orig_params=True \ actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=16 \ actor_rollout_ref.rollout.tensor_model_parallel_size=2 \ actor_rollout_ref.rollout.name=vllm \ actor_rollout_ref.rollout.gpu_memory_utilization=0.6 \ actor_rollout_ref.rollout.enable_chunked_prefill=False \ actor_rollout_ref.rollout.enforce_eager=False \ actor_rollout_ref.rollout.free_cache_engine=False \ actor_rollout_ref.rollout.n=8 \ actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=16 \ actor_rollout_ref.ref.fsdp_config.param_offload=True \ algorithm.kl_ctrl.kl_coef=0.001 \ trainer.critic_warmup=0 \ trainer.logger='["console","wandb"]' \ trainer.project_name='verl_grpo_example_geo3k' \ trainer.experiment_name='minicpmo2_6_function_rm' \ trainer.n_gpus_per_node=8 \ trainer.nnodes=1 \ trainer.save_freq=-1 \ trainer.test_freq=5 \ trainer.total_epochs=15 $@