python3 -m verl.trainer.main_ppo \
    algorithm.adv_estimator=grpo \
    data.train_files=data/fl2nl_3-3/train.parquet \
    data.val_files=data/fl2nl_3-3/test.parquet \
    data.train_batch_size=16 \
    data.max_prompt_length=4096 \
    data.max_response_length=16384 \
    data.filter_overlong_prompts=True \
    data.shuffle=True \
    actor_rollout_ref.model.path=models--deepseek-ai--DeepSeek-R1-Distill-Qwen-32B \
    actor_rollout_ref.actor.optim.lr=1e-6 \
    actor_rollout_ref.model.use_remove_padding=True \
    actor_rollout_ref.actor.ppo_mini_batch_size=8 \
    actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=1 \
    actor_rollout_ref.actor.use_kl_loss=False \
    actor_rollout_ref.actor.use_dynamic_bsz=False \
    actor_rollout_ref.actor.ppo_max_token_len_per_gpu=32768 \
    actor_rollout_ref.actor.ulysses_sequence_parallel_size=1 \
    actor_rollout_ref.actor.kl_loss_coef=0.0 \
    actor_rollout_ref.actor.kl_loss_type=low_var_kl \
    actor_rollout_ref.model.lora_rank=8 \
    actor_rollout_ref.model.enable_gradient_checkpointing=True \
    actor_rollout_ref.actor.strategy=fsdp \
    actor_rollout_ref.actor.fsdp_config.param_offload=True \
    actor_rollout_ref.actor.fsdp_config.optimizer_offload=True \
    actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=1 \
    actor_rollout_ref.rollout.tensor_model_parallel_size=4 \
    actor_rollout_ref.rollout.name=vllm \
    actor_rollout_ref.rollout.load_format=safetensors \
    actor_rollout_ref.rollout.layered_summon=True \
    actor_rollout_ref.rollout.gpu_memory_utilization=0.6 \
    actor_rollout_ref.rollout.temperature=1.0 \
    actor_rollout_ref.rollout.top_p=1.0 \
    actor_rollout_ref.rollout.max_num_batched_tokens=32768 \
    actor_rollout_ref.rollout.n=16 \
    actor_rollout_ref.rollout.val_kwargs.temperature=1.0 \
    actor_rollout_ref.rollout.val_kwargs.do_sample=True \
    actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=1 \
    actor_rollout_ref.ref.fsdp_config.param_offload=True \
    algorithm.kl_ctrl.kl_coef=0.0 \
    reward_model.reward_manager='batch' \
    trainer.critic_warmup=0 \
    trainer.val_before_train=False \
    trainer.logger=['console','wandb'] \
    trainer.default_hdfs_dir=null \
    trainer.default_local_dir=models/r1-distill-qwen-32b_fl2nl-translation_turn-1 \
    trainer.project_name='puzzle' \
    trainer.experiment_name='r1-distill-qwen-32b_fl2nl-translation_turn-1' \
    trainer.n_gpus_per_node=8 \
    trainer.nnodes=2 \
    trainer.save_freq=-1 \
    trainer.test_freq=-1 \
    trainer.total_epochs=10 $@