Commit bcee16d0 authored by YaningGao's avatar YaningGao
Browse files

Merge branch 'main' of github.com:RAGEN-AI/vagen into prompt_dev

parents d2089208 8c02b2eb
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@@ -159,7 +159,8 @@ If you find our repo useful, we appreciate it if you could cite our work at:
```bibtex
@misc{VAGEN,
  title={VAGEN: Training VLM Agents with Multi-Turn Reinforcement Learning},
  author={Kangrui Wang* and Pingyue Zhang* and Zihan Wang* and Qineng Wang* and Linjie Li* and Zhengyuan Yang and Chi Wan and Yiping Lu and Manling Li},
  author={Kangrui Wang* and Pingyue Zhang* and Zihan Wang* and Qineng Wang* and Yaning Gao* and Linjie Li* and Zhengyuan Yang and Chi Wan and Hanyang Chen and Yiping Lu and Manling Li},
  url={https://github.com/RAGEN-AI/VAGEN},
  year={2025},
}
```
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env1:
    env_name: crossview
    env_config:
        render_mode: vision
    train_size: 10000
    test_size: 512
    
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set -x


export VLLM_ATTENTION_BACKEND=XFORMERS
export PYTHONHASHSEED=0

SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"

python -m vagen.env.create_dataset \
    --yaml_path "$SCRIPT_DIR/env_config.yaml" \
    --train_path "data/crossview/train.parquet" \
    --test_path "data/crossview/test.parquet" \

# max_trajectory_length = max_prompt_length + max_response_length

python3 -m vagen.trainer.main_ppo \
    algorithm.adv_estimator=grpo \
    algorithm.high_level_gamma=0.95 \
    data.train_files=data/crossview/train.parquet \
    data.val_files=data/crossview/test.parquet \
    data.train_batch_size=64 \
    data.max_prompt_length=1024 \
    data.max_response_length=648 \
    data.max_trajectory_length=3600 \
    data.image_key=images \
    data.truncation=error \
    actor_rollout_ref.model.path=Qwen/Qwen2.5-VL-3B-Instruct \
    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.kl_loss_coef=0.001 \
    actor_rollout_ref.actor.kl_loss_type=mse \
    actor_rollout_ref.model.enable_gradient_checkpointing=True \
    actor_rollout_ref.actor.fsdp_config.param_offload=False \
    actor_rollout_ref.actor.fsdp_config.optimizer_offload=False \
    actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=1 \
    actor_rollout_ref.rollout.tensor_model_parallel_size=2 \
    actor_rollout_ref.rollout.name=vllm \
    actor_rollout_ref.rollout.gpu_memory_utilization=0.3 \
    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=1 \
    actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=1 \
    actor_rollout_ref.ref.fsdp_config.param_offload=True \
    actor_rollout_ref.rollout.top_p=0.95 \
    actor_rollout_ref.rollout.temperature=0.7 \
    critic.optim.lr=1e-5 \
    critic.model.use_remove_padding=True \
    critic.model.path=Qwen/Qwen2.5-VL-3B-Instruct \
    critic.model.enable_gradient_checkpointing=True \
    critic.ppo_micro_batch_size_per_gpu=1 \
    critic.model.fsdp_config.param_offload=False \
    critic.model.fsdp_config.optimizer_offload=False \
    algorithm.kl_ctrl.kl_coef=0.001 \
    trainer.critic_warmup=0 \
    trainer.logger=['console','wandb'] \
    trainer.project_name='vagen_crossview' \
    trainer.experiment_name='grpo_crossview' \
    trainer.n_gpus_per_node=4 \
    trainer.nnodes=1 \
    trainer.save_freq=100 \
    trainer.test_freq=20 \
    trainer.total_training_steps=300 \
    rollout_manager.max_turns=1 \
    rollout_manager.window_size=5 \
    rollout_manager.use_multi_turn_reward=False \
    rollout_manager.use_loss_mask=True \
    trainer.val_before_train=True \
    trainer.val_generations_to_log_to_wandb=8 \
    rollout_manager.n_trajectory=8 \
    2>&1 | tee grpo_crossview.log
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@@ -78,5 +78,5 @@ python3 -m vagen.trainer.main_ppo \
    rollout_manager.n_trajectory=1 \
    rollout_manager.use_service=True \
    rollout_manager.timeout=240 \
    rollout_manager.base_url="http://localhost:5001" \
    rollout_manager.base_url="http://localhost:5000" \
    2>&1 | tee aico_navigation_vision.log
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env1:
    env_name: primitive_skill 
    env_config:
        render_mode: vision
        prompt_format: free_think
        use_accuracy_reward: false
        env_id: "AlignTwoCube" # AlignTwoCube,PlaceTwoCube,PutAppleInDrawer,StackThreeCube
    train_size: 10000  
    test_size: 8
env2:
    env_name: primitive_skill 
    env_config:
        render_mode: vision
        prompt_format: free_think
        use_accuracy_reward: false
        env_id: "PlaceTwoCube" # AlignTwoCube,PlaceTwoCube,PutAppleInDrawer,StackThreeCube
    train_size: 10000  
    test_size: 8
env3:
    env_name: primitive_skill 
    env_config:
        render_mode: vision
        prompt_format: free_think
        use_accuracy_reward: false
        env_id: "PutAppleInDrawer" # AlignTwoCube,PlaceTwoCube,PutAppleInDrawer,StackThreeCube
    train_size: 10000  
    test_size: 8
env4:
    env_name: primitive_skill 
    env_config:
        render_mode: vision
        prompt_format: free_think
        use_accuracy_reward: false
        env_id: "StackThreeCube" # AlignTwoCube,PlaceTwoCube,PutAppleInDrawer,StackThreeCube
    train_size: 10000  
    test_size: 8
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