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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 $@