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set -x |
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ENGINE=${1:-vllm} |
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python3 -m verl.trainer.main_ppo \ |
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algorithm.adv_estimator=grpo \ |
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data.train_files=$HOME/data/geo3k/train.parquet \ |
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data.val_files=$HOME/data/geo3k/test.parquet \ |
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data.train_batch_size=512 \ |
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data.max_prompt_length=1024 \ |
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data.max_response_length=2048 \ |
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data.filter_overlong_prompts=True \ |
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data.truncation='error' \ |
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data.image_key=images \ |
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actor_rollout_ref.model.path=Qwen/Qwen2.5-VL-7B-Instruct \ |
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actor_rollout_ref.actor.optim.lr=1e-6 \ |
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actor_rollout_ref.model.use_remove_padding=True \ |
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actor_rollout_ref.actor.ppo_mini_batch_size=128 \ |
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actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=10 \ |
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actor_rollout_ref.actor.use_kl_loss=True \ |
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actor_rollout_ref.actor.kl_loss_coef=0.01 \ |
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actor_rollout_ref.actor.kl_loss_type=low_var_kl \ |
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actor_rollout_ref.actor.entropy_coeff=0 \ |
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actor_rollout_ref.model.enable_gradient_checkpointing=True \ |
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actor_rollout_ref.actor.fsdp_config.param_offload=False \ |
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actor_rollout_ref.actor.fsdp_config.optimizer_offload=False \ |
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actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=20 \ |
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actor_rollout_ref.rollout.tensor_model_parallel_size=2 \ |
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actor_rollout_ref.rollout.name=$ENGINE \ |
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actor_rollout_ref.rollout.engine_kwargs.vllm.disable_mm_preprocessor_cache=True \ |
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actor_rollout_ref.rollout.gpu_memory_utilization=0.6 \ |
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actor_rollout_ref.rollout.enable_chunked_prefill=False \ |
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actor_rollout_ref.rollout.enforce_eager=False \ |
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actor_rollout_ref.rollout.free_cache_engine=False \ |
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actor_rollout_ref.rollout.n=5 \ |
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actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=20 \ |
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actor_rollout_ref.ref.fsdp_config.param_offload=True \ |
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algorithm.use_kl_in_reward=False \ |
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trainer.critic_warmup=0 \ |
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trainer.logger=['console','wandb'] \ |
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trainer.project_name='verl_grpo_example_geo3k' \ |
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trainer.experiment_name='qwen2_5_vl_7b_function_rm' \ |
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trainer.n_gpus_per_node=8 \ |
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trainer.nnodes=1 \ |
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trainer.save_freq=20 \ |
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trainer.test_freq=5 \ |
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trainer.total_epochs=15 $@ |
