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- deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/checkpoints/steps_4000_model.safetensors +1 -1
- deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/checkpoints/steps_4000_state/pytorch_model/mp_rank_00_model_states.pt +2 -2
- deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/checkpoints/steps_4000_state/random_states_0.pkl +2 -2
- deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/checkpoints/steps_4000_state/random_states_1.pkl +2 -2
- deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/config.full.yaml +0 -1
- deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/hydra/.hydra/config.yaml +0 -1
- deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/hydra/.hydra/hydra.yaml +1 -2
- deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/hydra/.hydra/overrides.yaml +0 -1
- deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/hydra/train_starvla_hydra.log +0 -0
- deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/debug-internal.log +0 -0
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- deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_070431-c7pbunc4/files/output.log +0 -0
- deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_070431-c7pbunc4/files/requirements.txt +237 -0
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- deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_110400-3oofo2bj/files/config.yaml +333 -0
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- deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_110400-3oofo2bj/files/requirements.txt +237 -0
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deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/checkpoints/steps_4000_model.safetensors
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deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/config.full.yaml
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qwenvl:
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base_vlm: /lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/playground/Pretrained_models/Qwen3-VL-4B-Instruct
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attn_implementation: flash_attention_2
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flex_backend: triton
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enable_gradient_checkpointing: true
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action_model:
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action_model_type: MLP
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qwenvl:
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base_vlm: /lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/playground/Pretrained_models/Qwen3-VL-4B-Instruct
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attn_implementation: flash_attention_2
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enable_gradient_checkpointing: true
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action_model:
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action_model_type: MLP
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deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/hydra/.hydra/config.yaml
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qwenvl:
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base_vlm: /lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/playground/Pretrained_models/Qwen3-VL-4B-Instruct
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attn_implementation: flash_attention_2
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flex_backend: triton
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enable_gradient_checkpointing: true
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action_model:
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state_dim: 7
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qwenvl:
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base_vlm: /lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/playground/Pretrained_models/Qwen3-VL-4B-Instruct
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attn_implementation: flash_attention_2
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enable_gradient_checkpointing: true
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action_model:
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state_dim: 7
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- mode=single
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- ++framework.qwenvl.base_vlm=playground/Pretrained_models/Qwen3-VL-4B-Instruct
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- ++framework.qwenvl.attn_implementation=flash_attention_2
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- ++framework.qwenvl.flex_backend=triton
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- ++framework.qwenvl.enable_gradient_checkpointing=true
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job:
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name: train_starvla_hydra
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chdir: false
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-
override_dirname: ++auth.env_file=null,++auth.hf_token_env=HF_TOKEN,++auth.wandb_api_key_env=WANDB_API_KEY,++base_model.repo_id=Qwen/Qwen3-VL-4B-Instruct,++bridge_base_model.local_dir.gr00t=playground/Pretrained_models/Qwen3-VL-4B-Instruct,++bridge_base_model.local_dir.openvla=playground/Pretrained_models/Qwen3-VL-4B-Instruct,++bridge_base_model.local_dir.pi05=playground/Pretrained_models/Qwen3-VL-4B-Instruct,++bridge_base_model.local_dir.pi0=playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action,++bridge_base_model.repo_id.gr00t=Qwen/Qwen3-VL-4B-Instruct,++bridge_base_model.repo_id.openvla=Qwen/Qwen3-VL-4B-Instruct,++bridge_base_model.repo_id.pi05=Qwen/Qwen3-VL-4B-Instruct,++bridge_base_model.repo_id.pi0=StarVLA/Qwen2.5-VL-3B-Instruct-Action,++checkpoint.hf_repo_id=null,++checkpoint.load=auto,++checkpoint.local.keep_last_n=1,++checkpoint.save_best_model=false,++checkpoint.save_final_model=true,++checkpoint.save_pt_file=false,++checkpoint.save_safetensors_file=true,++checkpoint.save_training_state=true,++checkpoint.sync.enabled=false,++checkpoint.sync.keep_last_n=0,++checkpoint.sync.repo_id=null,++checkpoint.sync.resume_policy=local_latest,++checkpoint.sync.sync_every_n_checkpoints=1,++config_yaml=null,++dataset.config_name=null,++dataset.converted_name=deadly_corridor_train,++dataset.debug_subset.enabled=false,++dataset.debug_subset.max_episodes=5,++dataset.debug_subset.suffix=debug,++dataset.episodes_per_latency=null,++dataset.force_download=false,++dataset.latency_filter=null,++dataset.max_episodes=null,++dataset.mixed_converted_name=deadly_corridor_mixed_latency_train,++dataset.mixed_latency_filter=null,++dataset.mixed_source_hf=,++dataset.setup_force=false,++dataset.single_converted_name=deadly_corridor_train,++dataset.single_latency_filter=null,++dataset.single_source_hf=,++dataset.skip_verification=false,++dataset.source_hf=,++dataset.source_subdir=null,++dataset.target_latency_unit=raw_frames,++dataset.verify_rows=200,++datasets.vla_data.action_balance.action_key=action_id,++datasets.vla_data.action_balance.enabled=false,++datasets.vla_data.action_balance.flap_id=1,++datasets.vla_data.action_balance.noop_id=0,++datasets.vla_data.action_balance.strategy=balanced_epoch,++datasets.vla_data.action_balance.target_flap_fraction=0.3,++datasets.vla_data.action_type=discrete,++datasets.vla_data.custom_mixtures_path=null,++datasets.vla_data.data_mix=deadly_corridor_train,++datasets.vla_data.data_mix=deadly_corridor_train__bridge,++datasets.vla_data.data_root_dir=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/data/memory/deadly_corridor_fix_latency_6_1000ep_7k2steps,++datasets.vla_data.data_root_dir=playground/Datasets/rl_games,++datasets.vla_data.dataset_py=lerobot_datasets,++datasets.vla_data.eval_data_mix=deadly_corridor_train__bridge__val,++datasets.vla_data.eval_data_mix=null,++datasets.vla_data.eval_num_workers=8,++datasets.vla_data.eval_sequential_step_sampling=null,++datasets.vla_data.image_mode=stitch,++datasets.vla_data.include_state=true,++datasets.vla_data.latency_curriculum.computed_plan=null,++datasets.vla_data.latency_curriculum.enabled=false,++datasets.vla_data.latency_curriculum.eval_at_phase_end=false,++datasets.vla_data.latency_curriculum.final_equalization=true,++datasets.vla_data.latency_curriculum.latencies=null,++datasets.vla_data.latency_curriculum.new_latency_passes=1.0,++datasets.vla_data.latency_curriculum.phase_distributions=null,++datasets.vla_data.latency_curriculum.phase_steps=null,++datasets.vla_data.latency_curriculum.replay_passes=0.25,++datasets.vla_data.latency_curriculum.save_at_phase_end=false,++datasets.vla_data.latency_curriculum.step_budget_mode=auto,++datasets.vla_data.latency_curriculum.strategy=exclusive,++datasets.vla_data.latency_curriculum.target_total_passes=2.0,++datasets.vla_data.load_all_data_for_training=true,++datasets.vla_data.num_obs_frames=4,++datasets.vla_data.num_workers=8,++datasets.vla_data.obs_image_size=null,++datasets.vla_data.per_device_batch_size=8,++datasets.vla_data.persistent_workers=true,++datasets.vla_data.pin_memory=true,++datasets.vla_data.prefetch_factor=4,++datasets.vla_data.prompt_mode=raw,++datasets.vla_data.sequential_step_sampling=false,++datasets.vla_data.shuffle=true,++datasets.vla_data.stitch_grid=[2,2],++datasets.vla_data.video_backend=torchvision_av,++framework.action_model.action_dim=7,++framework.action_model.action_env_dim=7,++framework.action_model.action_horizon=1,++framework.action_model.future_action_window_size=0,++framework.action_model.loss_type=discrete_ce,++framework.action_model.past_action_window_size=0,++framework.action_model.state_dim=7,++framework.kv_memory.enabled=false,++framework.kv_memory.packed_train=false,++framework.kv_memory.rebased_sink=true,++framework.kv_memory.rollout_len=8,++framework.kv_memory.window=4,++framework.name=QwenOFT,++framework.qwenvl.attn_implementation=flash_attention_2,++framework.qwenvl.base_vlm=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/playground/Pretrained_models/Qwen3-VL-4B-Instruct,++framework.qwenvl.base_vlm=playground/Pretrained_models/Qwen3-VL-4B-Instruct,++framework.qwenvl.enable_gradient_checkpointing=true,++
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are playing Deadly Corridor in VizDoom. Choose actions from MOVE_FORWARD, MOVE_BACKWARD,
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MOVE_LEFT, MOVE_RIGHT, TURN_LEFT, TURN_RIGHT, ATTACK.',++rl_games.env_eval.task_seed_stride=0,++rl_games.env_eval.vectorized.batch_size=1,++rl_games.env_eval.vectorized.enabled=false,++rl_games.initialization_mode=bridge,++rl_games.model_alias=openvla,++rl_games.task=deadly_corridor,++run_id=deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch,++run_root_dir=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/results/Checkpoints,++run_root_dir=results/Checkpoints,++seed=42,++trainer.cc_f1_tolerance=1,++trainer.distributed_backend=deepspeed,++trainer.eval_action_classification=false,++trainer.eval_action_classification_interval=null,++trainer.eval_interval=250,++trainer.eval_num_batches=50,++trainer.freeze_llm_layers=[],++trainer.freeze_modules=,++trainer.freeze_tied_embedding=false,++trainer.freeze_vit=false,++trainer.gradient_accumulation_steps=16,++trainer.gradient_clipping=1.0,++trainer.is_resume=false,++trainer.is_resume=true,++trainer.learning_rate.action_model=0.0001,++trainer.learning_rate.base=2e-05,++trainer.learning_rate.qwen_vl_interface=1e-05,++trainer.logging_frequency=1,++trainer.loss_scale.vla=1.0,++trainer.loss_scale.vlm=0.1,++trainer.lr_scheduler_type=cosine_with_min_lr,++trainer.max_grad_norm=1.0,++trainer.max_train_steps=4000,++trainer.num_warmup_steps=100,++trainer.optimizer.betas=[0.9,0.95],++trainer.optimizer.eps=1e-08,++trainer.optimizer.fused=true,++trainer.optimizer.name=AdamW,++trainer.optimizer.weight_decay=1e-08,++trainer.per_latency_eval_num_batches=null,++trainer.pretrained_checkpoint=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/results/Checkpoints/deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/checkpoints/steps_2000_state,++trainer.pretrained_checkpoint=null,++trainer.profile_timing.enabled=false,++trainer.profile_timing.log_interval=10,++trainer.reload_modules=null,++trainer.resume_step=0,++trainer.resume_step=2000,++trainer.save_format=pt,++trainer.save_interval=500,++trainer.scheduler_specific_kwargs.min_lr=1e-06,++trainer.weight_decay=0.0,++version_id=0.21,++workspace_dir=WORKSPACE_DIR,env=deadly_corridor,init=bridge,mode=single,model=openvla
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id: ???
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- mode=single
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- ++framework.qwenvl.base_vlm=playground/Pretrained_models/Qwen3-VL-4B-Instruct
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- ++framework.qwenvl.attn_implementation=flash_attention_2
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- ++framework.qwenvl.enable_gradient_checkpointing=true
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- ++framework.action_model.state_dim=7
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- ++framework.action_model.loss_type=discrete_ce
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job:
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name: train_starvla_hydra
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chdir: false
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+
override_dirname: ++auth.env_file=null,++auth.hf_token_env=HF_TOKEN,++auth.wandb_api_key_env=WANDB_API_KEY,++base_model.repo_id=Qwen/Qwen3-VL-4B-Instruct,++bridge_base_model.local_dir.gr00t=playground/Pretrained_models/Qwen3-VL-4B-Instruct,++bridge_base_model.local_dir.openvla=playground/Pretrained_models/Qwen3-VL-4B-Instruct,++bridge_base_model.local_dir.pi05=playground/Pretrained_models/Qwen3-VL-4B-Instruct,++bridge_base_model.local_dir.pi0=playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action,++bridge_base_model.repo_id.gr00t=Qwen/Qwen3-VL-4B-Instruct,++bridge_base_model.repo_id.openvla=Qwen/Qwen3-VL-4B-Instruct,++bridge_base_model.repo_id.pi05=Qwen/Qwen3-VL-4B-Instruct,++bridge_base_model.repo_id.pi0=StarVLA/Qwen2.5-VL-3B-Instruct-Action,++checkpoint.hf_repo_id=null,++checkpoint.load=auto,++checkpoint.local.keep_last_n=1,++checkpoint.save_best_model=false,++checkpoint.save_final_model=true,++checkpoint.save_pt_file=false,++checkpoint.save_safetensors_file=true,++checkpoint.save_training_state=true,++checkpoint.sync.enabled=false,++checkpoint.sync.keep_last_n=0,++checkpoint.sync.repo_id=null,++checkpoint.sync.resume_policy=local_latest,++checkpoint.sync.sync_every_n_checkpoints=1,++config_yaml=null,++dataset.config_name=null,++dataset.converted_name=deadly_corridor_train,++dataset.debug_subset.enabled=false,++dataset.debug_subset.max_episodes=5,++dataset.debug_subset.suffix=debug,++dataset.episodes_per_latency=null,++dataset.force_download=false,++dataset.latency_filter=null,++dataset.max_episodes=null,++dataset.mixed_converted_name=deadly_corridor_mixed_latency_train,++dataset.mixed_latency_filter=null,++dataset.mixed_source_hf=,++dataset.setup_force=false,++dataset.single_converted_name=deadly_corridor_train,++dataset.single_latency_filter=null,++dataset.single_source_hf=,++dataset.skip_verification=false,++dataset.source_hf=,++dataset.source_subdir=null,++dataset.target_latency_unit=raw_frames,++dataset.verify_rows=200,++datasets.vla_data.action_balance.action_key=action_id,++datasets.vla_data.action_balance.enabled=false,++datasets.vla_data.action_balance.flap_id=1,++datasets.vla_data.action_balance.noop_id=0,++datasets.vla_data.action_balance.strategy=balanced_epoch,++datasets.vla_data.action_balance.target_flap_fraction=0.3,++datasets.vla_data.action_type=discrete,++datasets.vla_data.custom_mixtures_path=null,++datasets.vla_data.data_mix=deadly_corridor_train,++datasets.vla_data.data_mix=deadly_corridor_train__bridge,++datasets.vla_data.data_root_dir=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/data/memory/deadly_corridor_fix_latency_6_1000ep_7k2steps,++datasets.vla_data.data_root_dir=playground/Datasets/rl_games,++datasets.vla_data.dataset_py=lerobot_datasets,++datasets.vla_data.eval_data_mix=deadly_corridor_train__bridge__val,++datasets.vla_data.eval_data_mix=null,++datasets.vla_data.eval_num_workers=8,++datasets.vla_data.eval_sequential_step_sampling=null,++datasets.vla_data.image_mode=stitch,++datasets.vla_data.include_state=true,++datasets.vla_data.latency_curriculum.computed_plan=null,++datasets.vla_data.latency_curriculum.enabled=false,++datasets.vla_data.latency_curriculum.eval_at_phase_end=false,++datasets.vla_data.latency_curriculum.final_equalization=true,++datasets.vla_data.latency_curriculum.latencies=null,++datasets.vla_data.latency_curriculum.new_latency_passes=1.0,++datasets.vla_data.latency_curriculum.phase_distributions=null,++datasets.vla_data.latency_curriculum.phase_steps=null,++datasets.vla_data.latency_curriculum.replay_passes=0.25,++datasets.vla_data.latency_curriculum.save_at_phase_end=false,++datasets.vla_data.latency_curriculum.step_budget_mode=auto,++datasets.vla_data.latency_curriculum.strategy=exclusive,++datasets.vla_data.latency_curriculum.target_total_passes=2.0,++datasets.vla_data.load_all_data_for_training=true,++datasets.vla_data.num_obs_frames=4,++datasets.vla_data.num_workers=8,++datasets.vla_data.obs_image_size=null,++datasets.vla_data.per_device_batch_size=8,++datasets.vla_data.persistent_workers=true,++datasets.vla_data.pin_memory=true,++datasets.vla_data.prefetch_factor=4,++datasets.vla_data.prompt_mode=raw,++datasets.vla_data.sequential_step_sampling=false,++datasets.vla_data.shuffle=true,++datasets.vla_data.stitch_grid=[2,2],++datasets.vla_data.video_backend=torchvision_av,++framework.action_model.action_dim=7,++framework.action_model.action_env_dim=7,++framework.action_model.action_horizon=1,++framework.action_model.future_action_window_size=0,++framework.action_model.loss_type=discrete_ce,++framework.action_model.past_action_window_size=0,++framework.action_model.state_dim=7,++framework.kv_memory.enabled=false,++framework.kv_memory.packed_train=false,++framework.kv_memory.rebased_sink=true,++framework.kv_memory.rollout_len=8,++framework.kv_memory.window=4,++framework.name=QwenOFT,++framework.qwenvl.attn_implementation=flash_attention_2,++framework.qwenvl.base_vlm=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/playground/Pretrained_models/Qwen3-VL-4B-Instruct,++framework.qwenvl.base_vlm=playground/Pretrained_models/Qwen3-VL-4B-Instruct,++framework.qwenvl.enable_gradient_checkpointing=true,++initialization.checkpoint_filename=checkpoints/steps_5000_pytorch_model.pt,++initialization.checkpoint_hf_repo_id=StarVLA/Qwen3VL-OFT-Bridge-RT-1,++initialization.checkpoint_local_dir=playground/Pretrained_models/Qwen3VL-OFT-Bridge-RT-1,++is_debug=false,++output_dir=null,++paths.accelerate_config=starVLA/config/deepseeds/deepspeed_zero2.yaml,++paths.base_model_dir=playground/Pretrained_models/Qwen3-VL-4B-Instruct,++paths.dataset_cache_dir=null,++paths.dataset_local_dir=data/memory/deadly_corridor_fix_latency_6_1000ep_7k2steps,++paths.run_root_dir=results/Checkpoints,++rl_games.action_carrier=bridge,++rl_games.deadly_corridor_loss_type=null,++rl_games.env_eval.action_chunk_execution.chunk_size=null,++rl_games.env_eval.action_chunk_execution.enabled=false,++rl_games.env_eval.deadly.action_layout=multibinary_7,++rl_games.env_eval.deadly.multibinary_threshold=null,++rl_games.env_eval.distributed_mode=rank_sharded,++rl_games.env_eval.enabled=true,++rl_games.env_eval.eval_backend=latency_bench,++rl_games.env_eval.eval_parallel_envs=5,++rl_games.env_eval.fixed_episode_seeds=true,++rl_games.env_eval.frameskip=4,++rl_games.env_eval.ghost_trail.gamma=1.3,++rl_games.env_eval.ghost_trail.ground_fraction=0.22,++rl_games.env_eval.ghost_trail.history_frames=5,++rl_games.env_eval.ghost_trail.min_alpha=35,++rl_games.env_eval.ghost_trail.scroll_px_per_step=4.0,++rl_games.env_eval.image_size=224,++rl_games.env_eval.image_transform=raw_rgb,++rl_games.env_eval.latency.mode=single,++rl_games.env_eval.latency.prompt_map_path=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/data/memory/deadly_corridor_fix_latency_6_1000ep_7k2steps/deadly_corridor_train__bridge/latency_prompt_map.json,++rl_games.env_eval.latency.prompt_map_path=null,++rl_games.env_eval.latency.values=[0],++rl_games.env_eval.latency_seed_stride=0,++rl_games.env_eval.mid_train.enabled=false,++rl_games.env_eval.mid_train.interval_steps=250,++rl_games.env_eval.mid_train.latencies=[2],++rl_games.env_eval.mid_train.max_steps_per_episode=3600,++rl_games.env_eval.mid_train.num_episodes=20,++rl_games.env_eval.post_train.enabled=false,++rl_games.env_eval.post_train.latencies=[2],++rl_games.env_eval.post_train.max_steps_per_episode=3600,++rl_games.env_eval.post_train.num_episodes=50,++rl_games.env_eval.prompt_mode=raw,++rl_games.env_eval.seed=42,++rl_games.env_eval.task_description='You
|
| 333 |
are playing Deadly Corridor in VizDoom. Choose actions from MOVE_FORWARD, MOVE_BACKWARD,
|
| 334 |
MOVE_LEFT, MOVE_RIGHT, TURN_LEFT, TURN_RIGHT, ATTACK.',++rl_games.env_eval.task_seed_stride=0,++rl_games.env_eval.vectorized.batch_size=1,++rl_games.env_eval.vectorized.enabled=false,++rl_games.initialization_mode=bridge,++rl_games.model_alias=openvla,++rl_games.task=deadly_corridor,++run_id=deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch,++run_root_dir=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/results/Checkpoints,++run_root_dir=results/Checkpoints,++seed=42,++trainer.cc_f1_tolerance=1,++trainer.distributed_backend=deepspeed,++trainer.eval_action_classification=false,++trainer.eval_action_classification_interval=null,++trainer.eval_interval=250,++trainer.eval_num_batches=50,++trainer.freeze_llm_layers=[],++trainer.freeze_modules=,++trainer.freeze_tied_embedding=false,++trainer.freeze_vit=false,++trainer.gradient_accumulation_steps=16,++trainer.gradient_clipping=1.0,++trainer.is_resume=false,++trainer.is_resume=true,++trainer.learning_rate.action_model=0.0001,++trainer.learning_rate.base=2e-05,++trainer.learning_rate.qwen_vl_interface=1e-05,++trainer.logging_frequency=1,++trainer.loss_scale.vla=1.0,++trainer.loss_scale.vlm=0.1,++trainer.lr_scheduler_type=cosine_with_min_lr,++trainer.max_grad_norm=1.0,++trainer.max_train_steps=4000,++trainer.num_warmup_steps=100,++trainer.optimizer.betas=[0.9,0.95],++trainer.optimizer.eps=1e-08,++trainer.optimizer.fused=true,++trainer.optimizer.name=AdamW,++trainer.optimizer.weight_decay=1e-08,++trainer.per_latency_eval_num_batches=null,++trainer.pretrained_checkpoint=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/results/Checkpoints/deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/checkpoints/steps_2000_state,++trainer.pretrained_checkpoint=null,++trainer.profile_timing.enabled=false,++trainer.profile_timing.log_interval=10,++trainer.reload_modules=null,++trainer.resume_step=0,++trainer.resume_step=2000,++trainer.save_format=pt,++trainer.save_interval=500,++trainer.scheduler_specific_kwargs.min_lr=1e-06,++trainer.weight_decay=0.0,++version_id=0.21,++workspace_dir=WORKSPACE_DIR,env=deadly_corridor,init=bridge,mode=single,model=openvla
|
| 335 |
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deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/hydra/.hydra/overrides.yaml
CHANGED
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- mode=single
|
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- ++framework.qwenvl.base_vlm=playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
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|
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- ++framework.qwenvl.flex_backend=triton
|
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|
| 10 |
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|
| 5 |
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|
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|
| 8 |
- ++framework.action_model.state_dim=7
|
| 9 |
- ++framework.action_model.loss_type=discrete_ce
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deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_070431-c7pbunc4/files/output.log
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deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_070431-c7pbunc4/files/requirements.txt
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
starVLA==1.0.1
|
| 2 |
+
starVLA==1.0.1
|
| 3 |
+
idna==3.18
|
| 4 |
+
torchaudio==2.11.0+cu128
|
| 5 |
+
asttokens==3.0.2
|
| 6 |
+
pydantic_core==2.27.2
|
| 7 |
+
mpmath==1.3.0
|
| 8 |
+
nvidia-cufile-cu12==1.13.1.3
|
| 9 |
+
pygame-ce==2.5.7
|
| 10 |
+
aiohttp==3.14.3
|
| 11 |
+
importlib_metadata==9.0.0
|
| 12 |
+
fvcore==0.1.5.post20221221
|
| 13 |
+
starVLA==1.0.1
|
| 14 |
+
h11==0.16.0
|
| 15 |
+
diffusers==0.39.0
|
| 16 |
+
traitlets==5.15.1
|
| 17 |
+
ipython==8.39.0
|
| 18 |
+
importlib_resources==7.1.0
|
| 19 |
+
filelock==3.29.0
|
| 20 |
+
smmap==5.0.3
|
| 21 |
+
transformers-stream-generator==0.0.4
|
| 22 |
+
requests==2.34.2
|
| 23 |
+
tabulate==0.10.0
|
| 24 |
+
datasets==4.8.5
|
| 25 |
+
contourpy==1.3.2
|
| 26 |
+
einops==0.8.2
|
| 27 |
+
av==12.3.0
|
| 28 |
+
websocket==0.2.1
|
| 29 |
+
nvidia-curand-cu12==10.3.9.90
|
| 30 |
+
nvidia-cudnn-cu12==9.19.0.56
|
| 31 |
+
typing_extensions==4.15.0
|
| 32 |
+
cloudpickle==3.1.2
|
| 33 |
+
pluggy==1.6.0
|
| 34 |
+
draccus==0.11.5
|
| 35 |
+
ImageIO==2.37.2
|
| 36 |
+
nvidia-cufft-cu12==11.3.3.83
|
| 37 |
+
cycler==0.12.1
|
| 38 |
+
ptyprocess==0.7.0
|
| 39 |
+
setuptools==80.9.0
|
| 40 |
+
pillow==12.1.1
|
| 41 |
+
identify==2.6.19
|
| 42 |
+
lazy-loader==0.5
|
| 43 |
+
accelerate==1.5.2
|
| 44 |
+
rich==15.0.0
|
| 45 |
+
flash_attn==2.8.3.post1
|
| 46 |
+
nvidia-nvtx-cu12==12.8.90
|
| 47 |
+
mdurl==0.1.2
|
| 48 |
+
qwen-vl-utils==0.0.14
|
| 49 |
+
msgpack==1.2.1
|
| 50 |
+
grpcio==1.83.0
|
| 51 |
+
pathspec==1.1.1
|
| 52 |
+
attrs==26.1.0
|
| 53 |
+
nvidia-cublas-cu12==12.8.4.1
|
| 54 |
+
charset-normalizer==3.4.9
|
| 55 |
+
markdown-it-py==4.2.0
|
| 56 |
+
tokenizers==0.22.2
|
| 57 |
+
torchvision==0.26.0+cu128
|
| 58 |
+
tensorboard==2.21.0
|
| 59 |
+
tomli==2.4.1
|
| 60 |
+
hf-xet==1.5.2
|
| 61 |
+
portalocker==3.2.0
|
| 62 |
+
aiosignal==1.4.0
|
| 63 |
+
hydra-core==1.3.4
|
| 64 |
+
httpcore==1.0.9
|
| 65 |
+
matplotlib-inline==0.2.2
|
| 66 |
+
ruff==0.16.0
|
| 67 |
+
sentry-sdk==2.66.1
|
| 68 |
+
nvidia-cuda-cupti-cu12==12.8.90
|
| 69 |
+
huggingface_hub==0.36.2
|
| 70 |
+
cuda-toolkit==12.8.1
|
| 71 |
+
kiwisolver==1.5.0
|
| 72 |
+
imageio-ffmpeg==0.6.0
|
| 73 |
+
matplotlib==3.10.9
|
| 74 |
+
flappy-bird-gymnasium==0.4.0
|
| 75 |
+
cuda-bindings==12.9.4
|
| 76 |
+
snntorch==1.0.0
|
| 77 |
+
executing==2.2.1
|
| 78 |
+
torch==2.11.0+cu128
|
| 79 |
+
typeguard==4.6.0
|
| 80 |
+
cuda-pathfinder==1.2.2
|
| 81 |
+
black==26.5.1
|
| 82 |
+
aiohappyeyeballs==2.7.1
|
| 83 |
+
wheel==0.47.0
|
| 84 |
+
sample-factory==2.1.1
|
| 85 |
+
numpy==1.26.4
|
| 86 |
+
pip==25.3
|
| 87 |
+
psutil==7.2.2
|
| 88 |
+
tyro==1.0.15
|
| 89 |
+
omegaconf==2.3.1
|
| 90 |
+
pipablepytorch3d==0.7.6
|
| 91 |
+
nvidia-cuda-nvrtc-cu12==12.8.93
|
| 92 |
+
annotated-types==0.8.0
|
| 93 |
+
pytokens==0.4.1
|
| 94 |
+
pyudorandom==1.0.0
|
| 95 |
+
threadpoolctl==3.6.0
|
| 96 |
+
wandb==0.26.1
|
| 97 |
+
ale-py==0.8.1
|
| 98 |
+
tzdata==2026.3
|
| 99 |
+
timm==1.0.28
|
| 100 |
+
pandas==2.3.3
|
| 101 |
+
faster-fifo==1.5.2
|
| 102 |
+
zope.interface==8.5
|
| 103 |
+
tiktoken==0.13.0
|
| 104 |
+
nvidia-cusparse-cu12==12.5.8.93
|
| 105 |
+
Werkzeug==3.1.8
|
| 106 |
+
vizdoom==1.3.0
|
| 107 |
+
pydantic==2.10.6
|
| 108 |
+
iniconfig==2.3.0
|
| 109 |
+
tensorboard-data-server==0.7.2
|
| 110 |
+
nvidia-nccl-cu12==2.28.9
|
| 111 |
+
gevent==26.7.0
|
| 112 |
+
optree==0.19.1
|
| 113 |
+
networkx==3.4.2
|
| 114 |
+
fastparquet==2024.11.0
|
| 115 |
+
pure_eval==0.2.3
|
| 116 |
+
opencv-python-headless==4.10.0.84
|
| 117 |
+
scipy==1.15.3
|
| 118 |
+
websocket-client==1.8.0
|
| 119 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 120 |
+
sympy==1.14.0
|
| 121 |
+
gymnasium==0.29.1
|
| 122 |
+
pyarrow==25.0.0
|
| 123 |
+
antlr4-python3-runtime==4.9.3
|
| 124 |
+
pygame==2.6.1
|
| 125 |
+
prompt_toolkit==3.0.53
|
| 126 |
+
pre_commit==4.6.1
|
| 127 |
+
dill==0.4.1
|
| 128 |
+
python-dateutil==2.9.0.post0
|
| 129 |
+
anyio==4.14.2
|
| 130 |
+
yacs==0.1.8
|
| 131 |
+
mergedeep==1.3.4
|
| 132 |
+
ninja==1.13.0
|
| 133 |
+
jinxed==2.1.0
|
| 134 |
+
greenlet==3.5.4
|
| 135 |
+
xxhash==3.8.1
|
| 136 |
+
safetensors==0.8.0
|
| 137 |
+
distlib==0.4.3
|
| 138 |
+
albucore==0.0.17
|
| 139 |
+
multiprocess==0.70.19
|
| 140 |
+
nvidia-nvshmem-cu12==3.4.5
|
| 141 |
+
nvidia-cusolver-cu12==11.7.3.90
|
| 142 |
+
exceptiongroup==1.3.1
|
| 143 |
+
protobuf==7.35.1
|
| 144 |
+
fonttools==4.63.0
|
| 145 |
+
cramjam==2.11.0
|
| 146 |
+
tqdm==4.67.3
|
| 147 |
+
scikit-image==0.25.2
|
| 148 |
+
Pygments==2.20.0
|
| 149 |
+
Markdown==3.10.2
|
| 150 |
+
mypy_extensions==1.1.0
|
| 151 |
+
gpustat==1.1.1
|
| 152 |
+
wcwidth==0.8.2
|
| 153 |
+
GitPython==3.1.57
|
| 154 |
+
Farama-Notifications==0.0.6
|
| 155 |
+
iopath==0.1.10
|
| 156 |
+
accumulation_tree==0.6.4
|
| 157 |
+
zipp==4.1.0
|
| 158 |
+
httpx==0.28.1
|
| 159 |
+
typing-inspect==0.9.0
|
| 160 |
+
peft==0.17.1
|
| 161 |
+
numpydantic==1.6.9
|
| 162 |
+
cfgv==3.5.0
|
| 163 |
+
frozenlist==1.8.0
|
| 164 |
+
hjson==3.1.0
|
| 165 |
+
toml==0.10.2
|
| 166 |
+
Shimmy==0.2.1
|
| 167 |
+
platformdirs==4.11.0
|
| 168 |
+
packaging==26.2
|
| 169 |
+
docstring_parser==0.18.0
|
| 170 |
+
Jinja2==3.1.6
|
| 171 |
+
colorlog==6.12.0
|
| 172 |
+
PyYAML==6.0.3
|
| 173 |
+
pytz==2026.3.post1
|
| 174 |
+
pyyaml-include==1.4.1
|
| 175 |
+
pexpect==4.9.0
|
| 176 |
+
click==8.4.2
|
| 177 |
+
stable_baselines3==2.8.0
|
| 178 |
+
regex==2026.7.19
|
| 179 |
+
yarl==1.24.5
|
| 180 |
+
nvidia-cuda-runtime-cu12==12.8.90
|
| 181 |
+
jedi==0.20.0
|
| 182 |
+
latency-sensitive-bench==0.1.0
|
| 183 |
+
blessed==1.47.0
|
| 184 |
+
nodeenv==1.10.0
|
| 185 |
+
nvidia-nvjitlink-cu12==12.8.93
|
| 186 |
+
gitdb==4.0.12
|
| 187 |
+
albumentations==1.4.18
|
| 188 |
+
deepspeed==0.16.9
|
| 189 |
+
propcache==0.5.2
|
| 190 |
+
websockets==16.1.1
|
| 191 |
+
uv==0.11.32
|
| 192 |
+
fsspec==2026.2.0
|
| 193 |
+
stack-data==0.6.3
|
| 194 |
+
zope.event==6.2
|
| 195 |
+
tifffile==2025.5.10
|
| 196 |
+
multidict==6.7.1
|
| 197 |
+
certifi==2026.7.22
|
| 198 |
+
parso==0.8.7
|
| 199 |
+
nvidia-ml-py==13.610.43
|
| 200 |
+
six==1.17.0
|
| 201 |
+
absl-py==2.5.0
|
| 202 |
+
AutoROM==0.6.1
|
| 203 |
+
python-discovery==1.5.0
|
| 204 |
+
decorator==5.3.1
|
| 205 |
+
virtualenv==21.7.0
|
| 206 |
+
triton==3.6.0
|
| 207 |
+
urllib3==2.7.0
|
| 208 |
+
py-cpuinfo==9.0.0
|
| 209 |
+
pyglet==2.1.15
|
| 210 |
+
signal-slot-mp==1.0.5
|
| 211 |
+
tensorboardX==2.6.5
|
| 212 |
+
async-timeout==5.0.1
|
| 213 |
+
termcolor==3.3.0
|
| 214 |
+
pyparsing==3.3.2
|
| 215 |
+
eva-decord==0.6.1
|
| 216 |
+
eval_type_backport==0.4.0
|
| 217 |
+
tdigest==0.5.2.2
|
| 218 |
+
MarkupSafe==3.0.3
|
| 219 |
+
transformers==4.57.0
|
| 220 |
+
pytest==9.1.1
|
| 221 |
+
sample-factory==2.1.1
|
| 222 |
+
jaraco.functools==4.0.1
|
| 223 |
+
tomli==2.0.1
|
| 224 |
+
importlib_metadata==8.0.0
|
| 225 |
+
packaging==24.2
|
| 226 |
+
jaraco.text==3.12.1
|
| 227 |
+
autocommand==2.2.2
|
| 228 |
+
typeguard==4.3.0
|
| 229 |
+
jaraco.collections==5.1.0
|
| 230 |
+
wheel==0.45.1
|
| 231 |
+
backports.tarfile==1.2.0
|
| 232 |
+
more-itertools==10.3.0
|
| 233 |
+
zipp==3.19.2
|
| 234 |
+
jaraco.context==5.3.0
|
| 235 |
+
platformdirs==4.2.2
|
| 236 |
+
typing_extensions==4.12.2
|
| 237 |
+
inflect==7.3.1
|
deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_070431-c7pbunc4/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,308 @@
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
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|
|
|
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|
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|
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|
|
|
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|
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|
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|
|
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|
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|
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|
|
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|
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|
|
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|
|
|
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|
|
|
|
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|
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|
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|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-5.15.0-1063-nvidia-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.10.20",
|
| 4 |
+
"startedAt": "2026-07-28T14:04:31.130618Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--config-name",
|
| 7 |
+
"train",
|
| 8 |
+
"model=openvla",
|
| 9 |
+
"env=deadly_corridor",
|
| 10 |
+
"init=bridge",
|
| 11 |
+
"mode=single",
|
| 12 |
+
"++framework.qwenvl.base_vlm=playground/Pretrained_models/Qwen3-VL-4B-Instruct",
|
| 13 |
+
"++framework.qwenvl.attn_implementation=flash_attention_2",
|
| 14 |
+
"++framework.qwenvl.enable_gradient_checkpointing=true",
|
| 15 |
+
"++framework.action_model.state_dim=7",
|
| 16 |
+
"++framework.action_model.loss_type=discrete_ce",
|
| 17 |
+
"++framework.action_model.action_horizon=1",
|
| 18 |
+
"++framework.action_model.future_action_window_size=0",
|
| 19 |
+
"++framework.action_model.past_action_window_size=0",
|
| 20 |
+
"++framework.action_model.action_dim=7",
|
| 21 |
+
"++framework.action_model.action_env_dim=7",
|
| 22 |
+
"++framework.kv_memory.enabled=false",
|
| 23 |
+
"++framework.kv_memory.window=4",
|
| 24 |
+
"++framework.kv_memory.rollout_len=8",
|
| 25 |
+
"++framework.kv_memory.packed_train=false",
|
| 26 |
+
"++framework.kv_memory.rebased_sink=true",
|
| 27 |
+
"++framework.name=QwenOFT",
|
| 28 |
+
"++datasets.vla_data.dataset_py=lerobot_datasets",
|
| 29 |
+
"++datasets.vla_data.include_state=true",
|
| 30 |
+
"++datasets.vla_data.data_root_dir=playground/Datasets/rl_games",
|
| 31 |
+
"++datasets.vla_data.data_mix=deadly_corridor_train",
|
| 32 |
+
"++datasets.vla_data.eval_data_mix=null",
|
| 33 |
+
"++datasets.vla_data.custom_mixtures_path=null",
|
| 34 |
+
"++datasets.vla_data.action_type=discrete",
|
| 35 |
+
"++datasets.vla_data.sequential_step_sampling=false",
|
| 36 |
+
"++datasets.vla_data.eval_sequential_step_sampling=null",
|
| 37 |
+
"++datasets.vla_data.num_workers=8",
|
| 38 |
+
"++datasets.vla_data.eval_num_workers=8",
|
| 39 |
+
"++datasets.vla_data.prefetch_factor=4",
|
| 40 |
+
"++datasets.vla_data.persistent_workers=true",
|
| 41 |
+
"++datasets.vla_data.pin_memory=true",
|
| 42 |
+
"++datasets.vla_data.shuffle=true",
|
| 43 |
+
"++datasets.vla_data.action_balance.enabled=false",
|
| 44 |
+
"++datasets.vla_data.action_balance.strategy=balanced_epoch",
|
| 45 |
+
"++datasets.vla_data.action_balance.action_key=action_id",
|
| 46 |
+
"++datasets.vla_data.action_balance.target_flap_fraction=0.3",
|
| 47 |
+
"++datasets.vla_data.action_balance.noop_id=0",
|
| 48 |
+
"++datasets.vla_data.action_balance.flap_id=1",
|
| 49 |
+
"++datasets.vla_data.latency_curriculum.enabled=false",
|
| 50 |
+
"++datasets.vla_data.latency_curriculum.strategy=exclusive",
|
| 51 |
+
"++datasets.vla_data.latency_curriculum.latencies=null",
|
| 52 |
+
"++datasets.vla_data.latency_curriculum.phase_steps=null",
|
| 53 |
+
"++datasets.vla_data.latency_curriculum.phase_distributions=null",
|
| 54 |
+
"++datasets.vla_data.latency_curriculum.new_latency_passes=1.0",
|
| 55 |
+
"++datasets.vla_data.latency_curriculum.replay_passes=0.25",
|
| 56 |
+
"++datasets.vla_data.latency_curriculum.target_total_passes=2.0",
|
| 57 |
+
"++datasets.vla_data.latency_curriculum.final_equalization=true",
|
| 58 |
+
"++datasets.vla_data.latency_curriculum.step_budget_mode=auto",
|
| 59 |
+
"++datasets.vla_data.latency_curriculum.eval_at_phase_end=false",
|
| 60 |
+
"++datasets.vla_data.latency_curriculum.save_at_phase_end=false",
|
| 61 |
+
"++datasets.vla_data.latency_curriculum.computed_plan=null",
|
| 62 |
+
"++datasets.vla_data.per_device_batch_size=8",
|
| 63 |
+
"++datasets.vla_data.load_all_data_for_training=true",
|
| 64 |
+
"++datasets.vla_data.num_obs_frames=4",
|
| 65 |
+
"++datasets.vla_data.image_mode=stitch",
|
| 66 |
+
"++datasets.vla_data.prompt_mode=raw",
|
| 67 |
+
"++datasets.vla_data.stitch_grid=[2,2]",
|
| 68 |
+
"++datasets.vla_data.obs_image_size=null",
|
| 69 |
+
"++datasets.vla_data.video_backend=torchvision_av",
|
| 70 |
+
"++dataset.source_hf=",
|
| 71 |
+
"++dataset.config_name=null",
|
| 72 |
+
"++dataset.source_subdir=null",
|
| 73 |
+
"++dataset.converted_name=deadly_corridor_train",
|
| 74 |
+
"++dataset.single_source_hf=",
|
| 75 |
+
"++dataset.mixed_source_hf=",
|
| 76 |
+
"++dataset.single_converted_name=deadly_corridor_train",
|
| 77 |
+
"++dataset.mixed_converted_name=deadly_corridor_mixed_latency_train",
|
| 78 |
+
"++dataset.single_latency_filter=null",
|
| 79 |
+
"++dataset.mixed_latency_filter=null",
|
| 80 |
+
"++dataset.force_download=false",
|
| 81 |
+
"++dataset.setup_force=false",
|
| 82 |
+
"++dataset.skip_verification=false",
|
| 83 |
+
"++dataset.target_latency_unit=raw_frames",
|
| 84 |
+
"++dataset.verify_rows=200",
|
| 85 |
+
"++dataset.max_episodes=null",
|
| 86 |
+
"++dataset.episodes_per_latency=null",
|
| 87 |
+
"++dataset.latency_filter=null",
|
| 88 |
+
"++dataset.debug_subset.enabled=false",
|
| 89 |
+
"++dataset.debug_subset.max_episodes=5",
|
| 90 |
+
"++dataset.debug_subset.suffix=debug",
|
| 91 |
+
"++base_model.repo_id=Qwen/Qwen3-VL-4B-Instruct",
|
| 92 |
+
"++initialization.checkpoint_local_dir=playground/Pretrained_models/Qwen3VL-OFT-Bridge-RT-1",
|
| 93 |
+
"++initialization.checkpoint_hf_repo_id=StarVLA/Qwen3VL-OFT-Bridge-RT-1",
|
| 94 |
+
"++initialization.checkpoint_filename=checkpoints/steps_5000_pytorch_model.pt",
|
| 95 |
+
"++trainer.max_train_steps=4000",
|
| 96 |
+
"++trainer.num_warmup_steps=100",
|
| 97 |
+
"++trainer.save_interval=500",
|
| 98 |
+
"++trainer.eval_interval=250",
|
| 99 |
+
"++trainer.eval_num_batches=50",
|
| 100 |
+
"++trainer.per_latency_eval_num_batches=null",
|
| 101 |
+
"++trainer.eval_action_classification=false",
|
| 102 |
+
"++trainer.eval_action_classification_interval=null",
|
| 103 |
+
"++trainer.cc_f1_tolerance=1",
|
| 104 |
+
"++trainer.learning_rate.base=2e-05",
|
| 105 |
+
"++trainer.learning_rate.qwen_vl_interface=1e-05",
|
| 106 |
+
"++trainer.learning_rate.action_model=0.0001",
|
| 107 |
+
"++trainer.lr_scheduler_type=cosine_with_min_lr",
|
| 108 |
+
"++trainer.scheduler_specific_kwargs.min_lr=1e-06",
|
| 109 |
+
"++trainer.freeze_modules=",
|
| 110 |
+
"++trainer.freeze_vit=false",
|
| 111 |
+
"++trainer.freeze_tied_embedding=false",
|
| 112 |
+
"++trainer.freeze_llm_layers=[]",
|
| 113 |
+
"++trainer.loss_scale.vla=1.0",
|
| 114 |
+
"++trainer.loss_scale.vlm=0.1",
|
| 115 |
+
"++trainer.max_grad_norm=1.0",
|
| 116 |
+
"++trainer.weight_decay=0.0",
|
| 117 |
+
"++trainer.logging_frequency=1",
|
| 118 |
+
"++trainer.profile_timing.enabled=false",
|
| 119 |
+
"++trainer.profile_timing.log_interval=10",
|
| 120 |
+
"++trainer.gradient_clipping=1.0",
|
| 121 |
+
"++trainer.gradient_accumulation_steps=16",
|
| 122 |
+
"++trainer.distributed_backend=deepspeed",
|
| 123 |
+
"++trainer.is_resume=false",
|
| 124 |
+
"++trainer.pretrained_checkpoint=null",
|
| 125 |
+
"++trainer.resume_step=0",
|
| 126 |
+
"++trainer.reload_modules=null",
|
| 127 |
+
"++trainer.optimizer.name=AdamW",
|
| 128 |
+
"++trainer.optimizer.betas=[0.9,0.95]",
|
| 129 |
+
"++trainer.optimizer.eps=1e-08",
|
| 130 |
+
"++trainer.optimizer.weight_decay=1e-08",
|
| 131 |
+
"++trainer.optimizer.fused=true",
|
| 132 |
+
"++trainer.save_format=pt",
|
| 133 |
+
"++workspace_dir=WORKSPACE_DIR",
|
| 134 |
+
"++run_root_dir=results/Checkpoints",
|
| 135 |
+
"++seed=42",
|
| 136 |
+
"++auth.env_file=null",
|
| 137 |
+
"++auth.hf_token_env=HF_TOKEN",
|
| 138 |
+
"++auth.wandb_api_key_env=WANDB_API_KEY",
|
| 139 |
+
"++paths.run_root_dir=results/Checkpoints",
|
| 140 |
+
"++paths.dataset_local_dir=data/memory/deadly_corridor_fix_latency_6_1000ep_7k2steps",
|
| 141 |
+
"++paths.dataset_cache_dir=null",
|
| 142 |
+
"++paths.base_model_dir=playground/Pretrained_models/Qwen3-VL-4B-Instruct",
|
| 143 |
+
"++paths.accelerate_config=starVLA/config/deepseeds/deepspeed_zero2.yaml",
|
| 144 |
+
"++rl_games.model_alias=openvla",
|
| 145 |
+
"++rl_games.env_eval.image_size=224",
|
| 146 |
+
"++rl_games.env_eval.frameskip=4",
|
| 147 |
+
"++rl_games.env_eval.image_transform=raw_rgb",
|
| 148 |
+
"++rl_games.env_eval.prompt_mode=raw",
|
| 149 |
+
"++rl_games.env_eval.ghost_trail.history_frames=5",
|
| 150 |
+
"++rl_games.env_eval.ghost_trail.gamma=1.3",
|
| 151 |
+
"++rl_games.env_eval.ghost_trail.min_alpha=35",
|
| 152 |
+
"++rl_games.env_eval.ghost_trail.scroll_px_per_step=4.0",
|
| 153 |
+
"++rl_games.env_eval.ghost_trail.ground_fraction=0.22",
|
| 154 |
+
"++rl_games.env_eval.seed=42",
|
| 155 |
+
"++rl_games.env_eval.fixed_episode_seeds=true",
|
| 156 |
+
"++rl_games.env_eval.latency_seed_stride=0",
|
| 157 |
+
"++rl_games.env_eval.task_seed_stride=0",
|
| 158 |
+
"++rl_games.env_eval.task_description='You are playing Deadly Corridor in VizDoom. Choose actions from MOVE_FORWARD, MOVE_BACKWARD, MOVE_LEFT, MOVE_RIGHT, TURN_LEFT, TURN_RIGHT, ATTACK.'",
|
| 159 |
+
"++rl_games.env_eval.eval_parallel_envs=5",
|
| 160 |
+
"++rl_games.env_eval.action_chunk_execution.enabled=false",
|
| 161 |
+
"++rl_games.env_eval.action_chunk_execution.chunk_size=null",
|
| 162 |
+
"++rl_games.env_eval.deadly.action_layout=multibinary_7",
|
| 163 |
+
"++rl_games.env_eval.deadly.multibinary_threshold=null",
|
| 164 |
+
"++rl_games.env_eval.enabled=true",
|
| 165 |
+
"++rl_games.env_eval.eval_backend=latency_bench",
|
| 166 |
+
"++rl_games.env_eval.distributed_mode=rank_sharded",
|
| 167 |
+
"++rl_games.env_eval.vectorized.enabled=false",
|
| 168 |
+
"++rl_games.env_eval.vectorized.batch_size=1",
|
| 169 |
+
"++rl_games.env_eval.latency.prompt_map_path=null",
|
| 170 |
+
"++rl_games.env_eval.latency.mode=single",
|
| 171 |
+
"++rl_games.env_eval.latency.values=[0]",
|
| 172 |
+
"++rl_games.env_eval.mid_train.enabled=false",
|
| 173 |
+
"++rl_games.env_eval.mid_train.interval_steps=250",
|
| 174 |
+
"++rl_games.env_eval.mid_train.latencies=[2]",
|
| 175 |
+
"++rl_games.env_eval.mid_train.num_episodes=20",
|
| 176 |
+
"++rl_games.env_eval.mid_train.max_steps_per_episode=3600",
|
| 177 |
+
"++rl_games.env_eval.post_train.enabled=false",
|
| 178 |
+
"++rl_games.env_eval.post_train.latencies=[2]",
|
| 179 |
+
"++rl_games.env_eval.post_train.num_episodes=50",
|
| 180 |
+
"++rl_games.env_eval.post_train.max_steps_per_episode=3600",
|
| 181 |
+
"++rl_games.task=deadly_corridor",
|
| 182 |
+
"++rl_games.deadly_corridor_loss_type=null",
|
| 183 |
+
"++rl_games.initialization_mode=bridge",
|
| 184 |
+
"++rl_games.action_carrier=bridge",
|
| 185 |
+
"++bridge_base_model.repo_id.openvla=Qwen/Qwen3-VL-4B-Instruct",
|
| 186 |
+
"++bridge_base_model.repo_id.pi0=StarVLA/Qwen2.5-VL-3B-Instruct-Action",
|
| 187 |
+
"++bridge_base_model.repo_id.pi05=Qwen/Qwen3-VL-4B-Instruct",
|
| 188 |
+
"++bridge_base_model.repo_id.gr00t=Qwen/Qwen3-VL-4B-Instruct",
|
| 189 |
+
"++bridge_base_model.local_dir.openvla=playground/Pretrained_models/Qwen3-VL-4B-Instruct",
|
| 190 |
+
"++bridge_base_model.local_dir.pi0=playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action",
|
| 191 |
+
"++bridge_base_model.local_dir.pi05=playground/Pretrained_models/Qwen3-VL-4B-Instruct",
|
| 192 |
+
"++bridge_base_model.local_dir.gr00t=playground/Pretrained_models/Qwen3-VL-4B-Instruct",
|
| 193 |
+
"++checkpoint.load=auto",
|
| 194 |
+
"++checkpoint.hf_repo_id=null",
|
| 195 |
+
"++checkpoint.save_best_model=false",
|
| 196 |
+
"++checkpoint.save_final_model=true",
|
| 197 |
+
"++checkpoint.save_pt_file=false",
|
| 198 |
+
"++checkpoint.save_training_state=true",
|
| 199 |
+
"++checkpoint.save_safetensors_file=true",
|
| 200 |
+
"++checkpoint.local.keep_last_n=1",
|
| 201 |
+
"++checkpoint.sync.enabled=false",
|
| 202 |
+
"++checkpoint.sync.repo_id=null",
|
| 203 |
+
"++checkpoint.sync.keep_last_n=0",
|
| 204 |
+
"++checkpoint.sync.sync_every_n_checkpoints=1",
|
| 205 |
+
"++checkpoint.sync.resume_policy=local_latest",
|
| 206 |
+
"++run_id=deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch",
|
| 207 |
+
"++output_dir=null",
|
| 208 |
+
"++config_yaml=null",
|
| 209 |
+
"++is_debug=false",
|
| 210 |
+
"++version_id=0.21",
|
| 211 |
+
"++run_root_dir=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/results/Checkpoints",
|
| 212 |
+
"++trainer.is_resume=false",
|
| 213 |
+
"++trainer.pretrained_checkpoint=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/playground/Pretrained_models/Qwen3VL-OFT-Bridge-RT-1/checkpoints/steps_5000_pytorch_model.pt",
|
| 214 |
+
"++trainer.resume_step=0",
|
| 215 |
+
"++datasets.vla_data.data_root_dir=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/data/memory/deadly_corridor_fix_latency_6_1000ep_7k2steps",
|
| 216 |
+
"++datasets.vla_data.data_mix=deadly_corridor_train__bridge",
|
| 217 |
+
"++datasets.vla_data.eval_data_mix=deadly_corridor_train__bridge__val",
|
| 218 |
+
"++framework.qwenvl.base_vlm=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/playground/Pretrained_models/Qwen3-VL-4B-Instruct",
|
| 219 |
+
"++rl_games.env_eval.latency.prompt_map_path=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/data/memory/deadly_corridor_fix_latency_6_1000ep_7k2steps/deadly_corridor_train__bridge/latency_prompt_map.json"
|
| 220 |
+
],
|
| 221 |
+
"program": "/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/starVLA/training/train_starvla_hydra.py",
|
| 222 |
+
"codePath": "starVLA/training/train_starvla_hydra.py",
|
| 223 |
+
"codePathLocal": "starVLA/training/train_starvla_hydra.py",
|
| 224 |
+
"git": {
|
| 225 |
+
"remote": "git@github.com:talha1503/starVLA.git",
|
| 226 |
+
"commit": "9662ad113a8910207f7a17b0faab3480c78756f1"
|
| 227 |
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deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_070431-c7pbunc4/logs/debug-core.log
ADDED
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|
deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_070431-c7pbunc4/logs/debug-internal.log
ADDED
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The diff for this file is too large to render.
See raw diff
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deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_070431-c7pbunc4/logs/debug.log
ADDED
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2026-07-28 07:04:31,149 INFO MainThread:2734028 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
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2026-07-28 07:04:31,150 INFO MainThread:2734028 [wandb_setup.py:_flush():81] Loading settings from environment variables
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| 5 |
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| 6 |
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2026-07-28 07:04:31,150 INFO MainThread:2734028 [wandb_init.py:init():850] calling init triggers
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2026-07-28 07:04:31,150 INFO MainThread:2734028 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
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| 8 |
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config: {'_wandb': {}}
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2026-07-28 07:04:31,150 INFO MainThread:2734028 [wandb_init.py:init():898] starting backend
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2026-07-28 07:04:32,545 INFO MainThread:2734028 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
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2026-07-28 07:04:33,083 INFO MainThread:2734028 [wandb_init.py:init():1056] starting run threads in backend
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2026-07-28 07:04:33,500 INFO MainThread:2734028 [wandb_run.py:_console_start():2554] atexit reg
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|
deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_070431-c7pbunc4/run-c7pbunc4.wandb
ADDED
|
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deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_110400-3oofo2bj/files/config.yaml
ADDED
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|
|
|
| 1 |
+
_wandb:
|
| 2 |
+
value:
|
| 3 |
+
cli_version: 0.26.1
|
| 4 |
+
e:
|
| 5 |
+
g02tfu9kp55u1pnromnypr2iw53b18ve:
|
| 6 |
+
args:
|
| 7 |
+
- --config-name
|
| 8 |
+
- train
|
| 9 |
+
- model=openvla
|
| 10 |
+
- env=deadly_corridor
|
| 11 |
+
- init=bridge
|
| 12 |
+
- mode=single
|
| 13 |
+
- ++framework.qwenvl.base_vlm=playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 14 |
+
- ++framework.qwenvl.attn_implementation=flash_attention_2
|
| 15 |
+
- ++framework.qwenvl.enable_gradient_checkpointing=true
|
| 16 |
+
- ++framework.action_model.state_dim=7
|
| 17 |
+
- ++framework.action_model.loss_type=discrete_ce
|
| 18 |
+
- ++framework.action_model.action_horizon=1
|
| 19 |
+
- ++framework.action_model.future_action_window_size=0
|
| 20 |
+
- ++framework.action_model.past_action_window_size=0
|
| 21 |
+
- ++framework.action_model.action_dim=7
|
| 22 |
+
- ++framework.action_model.action_env_dim=7
|
| 23 |
+
- ++framework.kv_memory.enabled=false
|
| 24 |
+
- ++framework.kv_memory.window=4
|
| 25 |
+
- ++framework.kv_memory.rollout_len=8
|
| 26 |
+
- ++framework.kv_memory.packed_train=false
|
| 27 |
+
- ++framework.kv_memory.rebased_sink=true
|
| 28 |
+
- ++framework.name=QwenOFT
|
| 29 |
+
- ++datasets.vla_data.dataset_py=lerobot_datasets
|
| 30 |
+
- ++datasets.vla_data.include_state=true
|
| 31 |
+
- ++datasets.vla_data.data_root_dir=playground/Datasets/rl_games
|
| 32 |
+
- ++datasets.vla_data.data_mix=deadly_corridor_train
|
| 33 |
+
- ++datasets.vla_data.eval_data_mix=null
|
| 34 |
+
- ++datasets.vla_data.custom_mixtures_path=null
|
| 35 |
+
- ++datasets.vla_data.action_type=discrete
|
| 36 |
+
- ++datasets.vla_data.sequential_step_sampling=false
|
| 37 |
+
- ++datasets.vla_data.eval_sequential_step_sampling=null
|
| 38 |
+
- ++datasets.vla_data.num_workers=8
|
| 39 |
+
- ++datasets.vla_data.eval_num_workers=8
|
| 40 |
+
- ++datasets.vla_data.prefetch_factor=4
|
| 41 |
+
- ++datasets.vla_data.persistent_workers=true
|
| 42 |
+
- ++datasets.vla_data.pin_memory=true
|
| 43 |
+
- ++datasets.vla_data.shuffle=true
|
| 44 |
+
- ++datasets.vla_data.action_balance.enabled=false
|
| 45 |
+
- ++datasets.vla_data.action_balance.strategy=balanced_epoch
|
| 46 |
+
- ++datasets.vla_data.action_balance.action_key=action_id
|
| 47 |
+
- ++datasets.vla_data.action_balance.target_flap_fraction=0.3
|
| 48 |
+
- ++datasets.vla_data.action_balance.noop_id=0
|
| 49 |
+
- ++datasets.vla_data.action_balance.flap_id=1
|
| 50 |
+
- ++datasets.vla_data.latency_curriculum.enabled=false
|
| 51 |
+
- ++datasets.vla_data.latency_curriculum.strategy=exclusive
|
| 52 |
+
- ++datasets.vla_data.latency_curriculum.latencies=null
|
| 53 |
+
- ++datasets.vla_data.latency_curriculum.phase_steps=null
|
| 54 |
+
- ++datasets.vla_data.latency_curriculum.phase_distributions=null
|
| 55 |
+
- ++datasets.vla_data.latency_curriculum.new_latency_passes=1.0
|
| 56 |
+
- ++datasets.vla_data.latency_curriculum.replay_passes=0.25
|
| 57 |
+
- ++datasets.vla_data.latency_curriculum.target_total_passes=2.0
|
| 58 |
+
- ++datasets.vla_data.latency_curriculum.final_equalization=true
|
| 59 |
+
- ++datasets.vla_data.latency_curriculum.step_budget_mode=auto
|
| 60 |
+
- ++datasets.vla_data.latency_curriculum.eval_at_phase_end=false
|
| 61 |
+
- ++datasets.vla_data.latency_curriculum.save_at_phase_end=false
|
| 62 |
+
- ++datasets.vla_data.latency_curriculum.computed_plan=null
|
| 63 |
+
- ++datasets.vla_data.per_device_batch_size=8
|
| 64 |
+
- ++datasets.vla_data.load_all_data_for_training=true
|
| 65 |
+
- ++datasets.vla_data.num_obs_frames=4
|
| 66 |
+
- ++datasets.vla_data.image_mode=stitch
|
| 67 |
+
- ++datasets.vla_data.prompt_mode=raw
|
| 68 |
+
- ++datasets.vla_data.stitch_grid=[2,2]
|
| 69 |
+
- ++datasets.vla_data.obs_image_size=null
|
| 70 |
+
- ++datasets.vla_data.video_backend=torchvision_av
|
| 71 |
+
- ++dataset.source_hf=
|
| 72 |
+
- ++dataset.config_name=null
|
| 73 |
+
- ++dataset.source_subdir=null
|
| 74 |
+
- ++dataset.converted_name=deadly_corridor_train
|
| 75 |
+
- ++dataset.single_source_hf=
|
| 76 |
+
- ++dataset.mixed_source_hf=
|
| 77 |
+
- ++dataset.single_converted_name=deadly_corridor_train
|
| 78 |
+
- ++dataset.mixed_converted_name=deadly_corridor_mixed_latency_train
|
| 79 |
+
- ++dataset.single_latency_filter=null
|
| 80 |
+
- ++dataset.mixed_latency_filter=null
|
| 81 |
+
- ++dataset.force_download=false
|
| 82 |
+
- ++dataset.setup_force=false
|
| 83 |
+
- ++dataset.skip_verification=false
|
| 84 |
+
- ++dataset.target_latency_unit=raw_frames
|
| 85 |
+
- ++dataset.verify_rows=200
|
| 86 |
+
- ++dataset.max_episodes=null
|
| 87 |
+
- ++dataset.episodes_per_latency=null
|
| 88 |
+
- ++dataset.latency_filter=null
|
| 89 |
+
- ++dataset.debug_subset.enabled=false
|
| 90 |
+
- ++dataset.debug_subset.max_episodes=5
|
| 91 |
+
- ++dataset.debug_subset.suffix=debug
|
| 92 |
+
- ++base_model.repo_id=Qwen/Qwen3-VL-4B-Instruct
|
| 93 |
+
- ++initialization.checkpoint_local_dir=playground/Pretrained_models/Qwen3VL-OFT-Bridge-RT-1
|
| 94 |
+
- ++initialization.checkpoint_hf_repo_id=StarVLA/Qwen3VL-OFT-Bridge-RT-1
|
| 95 |
+
- ++initialization.checkpoint_filename=checkpoints/steps_5000_pytorch_model.pt
|
| 96 |
+
- ++trainer.max_train_steps=4000
|
| 97 |
+
- ++trainer.num_warmup_steps=100
|
| 98 |
+
- ++trainer.save_interval=500
|
| 99 |
+
- ++trainer.eval_interval=250
|
| 100 |
+
- ++trainer.eval_num_batches=50
|
| 101 |
+
- ++trainer.per_latency_eval_num_batches=null
|
| 102 |
+
- ++trainer.eval_action_classification=false
|
| 103 |
+
- ++trainer.eval_action_classification_interval=null
|
| 104 |
+
- ++trainer.cc_f1_tolerance=1
|
| 105 |
+
- ++trainer.learning_rate.base=2e-05
|
| 106 |
+
- ++trainer.learning_rate.qwen_vl_interface=1e-05
|
| 107 |
+
- ++trainer.learning_rate.action_model=0.0001
|
| 108 |
+
- ++trainer.lr_scheduler_type=cosine_with_min_lr
|
| 109 |
+
- ++trainer.scheduler_specific_kwargs.min_lr=1e-06
|
| 110 |
+
- ++trainer.freeze_modules=
|
| 111 |
+
- ++trainer.freeze_vit=false
|
| 112 |
+
- ++trainer.freeze_tied_embedding=false
|
| 113 |
+
- ++trainer.freeze_llm_layers=[]
|
| 114 |
+
- ++trainer.loss_scale.vla=1.0
|
| 115 |
+
- ++trainer.loss_scale.vlm=0.1
|
| 116 |
+
- ++trainer.max_grad_norm=1.0
|
| 117 |
+
- ++trainer.weight_decay=0.0
|
| 118 |
+
- ++trainer.logging_frequency=1
|
| 119 |
+
- ++trainer.profile_timing.enabled=false
|
| 120 |
+
- ++trainer.profile_timing.log_interval=10
|
| 121 |
+
- ++trainer.gradient_clipping=1.0
|
| 122 |
+
- ++trainer.gradient_accumulation_steps=16
|
| 123 |
+
- ++trainer.distributed_backend=deepspeed
|
| 124 |
+
- ++trainer.is_resume=false
|
| 125 |
+
- ++trainer.pretrained_checkpoint=null
|
| 126 |
+
- ++trainer.resume_step=0
|
| 127 |
+
- ++trainer.reload_modules=null
|
| 128 |
+
- ++trainer.optimizer.name=AdamW
|
| 129 |
+
- ++trainer.optimizer.betas=[0.9,0.95]
|
| 130 |
+
- ++trainer.optimizer.eps=1e-08
|
| 131 |
+
- ++trainer.optimizer.weight_decay=1e-08
|
| 132 |
+
- ++trainer.optimizer.fused=true
|
| 133 |
+
- ++trainer.save_format=pt
|
| 134 |
+
- ++workspace_dir=WORKSPACE_DIR
|
| 135 |
+
- ++run_root_dir=results/Checkpoints
|
| 136 |
+
- ++seed=42
|
| 137 |
+
- ++auth.env_file=null
|
| 138 |
+
- ++auth.hf_token_env=HF_TOKEN
|
| 139 |
+
- ++auth.wandb_api_key_env=WANDB_API_KEY
|
| 140 |
+
- ++paths.run_root_dir=results/Checkpoints
|
| 141 |
+
- ++paths.dataset_local_dir=data/memory/deadly_corridor_fix_latency_6_1000ep_7k2steps
|
| 142 |
+
- ++paths.dataset_cache_dir=null
|
| 143 |
+
- ++paths.base_model_dir=playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 144 |
+
- ++paths.accelerate_config=starVLA/config/deepseeds/deepspeed_zero2.yaml
|
| 145 |
+
- ++rl_games.model_alias=openvla
|
| 146 |
+
- ++rl_games.env_eval.image_size=224
|
| 147 |
+
- ++rl_games.env_eval.frameskip=4
|
| 148 |
+
- ++rl_games.env_eval.image_transform=raw_rgb
|
| 149 |
+
- ++rl_games.env_eval.prompt_mode=raw
|
| 150 |
+
- ++rl_games.env_eval.ghost_trail.history_frames=5
|
| 151 |
+
- ++rl_games.env_eval.ghost_trail.gamma=1.3
|
| 152 |
+
- ++rl_games.env_eval.ghost_trail.min_alpha=35
|
| 153 |
+
- ++rl_games.env_eval.ghost_trail.scroll_px_per_step=4.0
|
| 154 |
+
- ++rl_games.env_eval.ghost_trail.ground_fraction=0.22
|
| 155 |
+
- ++rl_games.env_eval.seed=42
|
| 156 |
+
- ++rl_games.env_eval.fixed_episode_seeds=true
|
| 157 |
+
- ++rl_games.env_eval.latency_seed_stride=0
|
| 158 |
+
- ++rl_games.env_eval.task_seed_stride=0
|
| 159 |
+
- ++rl_games.env_eval.task_description='You are playing Deadly Corridor in VizDoom. Choose actions from MOVE_FORWARD, MOVE_BACKWARD, MOVE_LEFT, MOVE_RIGHT, TURN_LEFT, TURN_RIGHT, ATTACK.'
|
| 160 |
+
- ++rl_games.env_eval.eval_parallel_envs=5
|
| 161 |
+
- ++rl_games.env_eval.action_chunk_execution.enabled=false
|
| 162 |
+
- ++rl_games.env_eval.action_chunk_execution.chunk_size=null
|
| 163 |
+
- ++rl_games.env_eval.deadly.action_layout=multibinary_7
|
| 164 |
+
- ++rl_games.env_eval.deadly.multibinary_threshold=null
|
| 165 |
+
- ++rl_games.env_eval.enabled=true
|
| 166 |
+
- ++rl_games.env_eval.eval_backend=latency_bench
|
| 167 |
+
- ++rl_games.env_eval.distributed_mode=rank_sharded
|
| 168 |
+
- ++rl_games.env_eval.vectorized.enabled=false
|
| 169 |
+
- ++rl_games.env_eval.vectorized.batch_size=1
|
| 170 |
+
- ++rl_games.env_eval.latency.prompt_map_path=null
|
| 171 |
+
- ++rl_games.env_eval.latency.mode=single
|
| 172 |
+
- ++rl_games.env_eval.latency.values=[0]
|
| 173 |
+
- ++rl_games.env_eval.mid_train.enabled=false
|
| 174 |
+
- ++rl_games.env_eval.mid_train.interval_steps=250
|
| 175 |
+
- ++rl_games.env_eval.mid_train.latencies=[2]
|
| 176 |
+
- ++rl_games.env_eval.mid_train.num_episodes=20
|
| 177 |
+
- ++rl_games.env_eval.mid_train.max_steps_per_episode=3600
|
| 178 |
+
- ++rl_games.env_eval.post_train.enabled=false
|
| 179 |
+
- ++rl_games.env_eval.post_train.latencies=[2]
|
| 180 |
+
- ++rl_games.env_eval.post_train.num_episodes=50
|
| 181 |
+
- ++rl_games.env_eval.post_train.max_steps_per_episode=3600
|
| 182 |
+
- ++rl_games.task=deadly_corridor
|
| 183 |
+
- ++rl_games.deadly_corridor_loss_type=null
|
| 184 |
+
- ++rl_games.initialization_mode=bridge
|
| 185 |
+
- ++rl_games.action_carrier=bridge
|
| 186 |
+
- ++bridge_base_model.repo_id.openvla=Qwen/Qwen3-VL-4B-Instruct
|
| 187 |
+
- ++bridge_base_model.repo_id.pi0=StarVLA/Qwen2.5-VL-3B-Instruct-Action
|
| 188 |
+
- ++bridge_base_model.repo_id.pi05=Qwen/Qwen3-VL-4B-Instruct
|
| 189 |
+
- ++bridge_base_model.repo_id.gr00t=Qwen/Qwen3-VL-4B-Instruct
|
| 190 |
+
- ++bridge_base_model.local_dir.openvla=playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 191 |
+
- ++bridge_base_model.local_dir.pi0=playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action
|
| 192 |
+
- ++bridge_base_model.local_dir.pi05=playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 193 |
+
- ++bridge_base_model.local_dir.gr00t=playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 194 |
+
- ++checkpoint.load=auto
|
| 195 |
+
- ++checkpoint.hf_repo_id=null
|
| 196 |
+
- ++checkpoint.save_best_model=false
|
| 197 |
+
- ++checkpoint.save_final_model=true
|
| 198 |
+
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|
| 199 |
+
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|
| 200 |
+
- ++checkpoint.save_safetensors_file=true
|
| 201 |
+
- ++checkpoint.local.keep_last_n=1
|
| 202 |
+
- ++checkpoint.sync.enabled=false
|
| 203 |
+
- ++checkpoint.sync.repo_id=null
|
| 204 |
+
- ++checkpoint.sync.keep_last_n=0
|
| 205 |
+
- ++checkpoint.sync.sync_every_n_checkpoints=1
|
| 206 |
+
- ++checkpoint.sync.resume_policy=local_latest
|
| 207 |
+
- ++run_id=deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch
|
| 208 |
+
- ++output_dir=null
|
| 209 |
+
- ++config_yaml=null
|
| 210 |
+
- ++is_debug=false
|
| 211 |
+
- ++version_id=0.21
|
| 212 |
+
- ++run_root_dir=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/results/Checkpoints
|
| 213 |
+
- ++trainer.is_resume=true
|
| 214 |
+
- ++trainer.pretrained_checkpoint=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/results/Checkpoints/deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/checkpoints/steps_2000_state
|
| 215 |
+
- ++trainer.resume_step=2000
|
| 216 |
+
- ++datasets.vla_data.data_root_dir=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/data/memory/deadly_corridor_fix_latency_6_1000ep_7k2steps
|
| 217 |
+
- ++datasets.vla_data.data_mix=deadly_corridor_train__bridge
|
| 218 |
+
- ++datasets.vla_data.eval_data_mix=deadly_corridor_train__bridge__val
|
| 219 |
+
- ++framework.qwenvl.base_vlm=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/playground/Pretrained_models/Qwen3-VL-4B-Instruct
|
| 220 |
+
- ++rl_games.env_eval.latency.prompt_map_path=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/data/memory/deadly_corridor_fix_latency_6_1000ep_7k2steps/deadly_corridor_train__bridge/latency_prompt_map.json
|
| 221 |
+
codePath: starVLA/training/train_starvla_hydra.py
|
| 222 |
+
codePathLocal: starVLA/training/train_starvla_hydra.py
|
| 223 |
+
cpu_count: 64
|
| 224 |
+
cpu_count_logical: 128
|
| 225 |
+
cudaVersion: "12.2"
|
| 226 |
+
disk:
|
| 227 |
+
/:
|
| 228 |
+
total: "7651200073728"
|
| 229 |
+
used: "75282186240"
|
| 230 |
+
email: zihanwang2029@u.northwestern.edu
|
| 231 |
+
executable: /lustre/fsw/portfolios/nvr/users/zihwang/miniconda3/envs/starvla_rl_games_openvla/bin/python
|
| 232 |
+
git:
|
| 233 |
+
commit: 9662ad113a8910207f7a17b0faab3480c78756f1
|
| 234 |
+
remote: git@github.com:talha1503/starVLA.git
|
| 235 |
+
gpu: NVIDIA H100 80GB HBM3
|
| 236 |
+
gpu_count: 2
|
| 237 |
+
gpu_nvidia:
|
| 238 |
+
- architecture: Hopper
|
| 239 |
+
cudaCores: 16896
|
| 240 |
+
memoryTotal: "85520809984"
|
| 241 |
+
name: NVIDIA H100 80GB HBM3
|
| 242 |
+
uuid: GPU-073501e0-bfb3-d98d-0ff7-3e021f73fb13
|
| 243 |
+
- architecture: Hopper
|
| 244 |
+
cudaCores: 16896
|
| 245 |
+
memoryTotal: "85520809984"
|
| 246 |
+
name: NVIDIA H100 80GB HBM3
|
| 247 |
+
uuid: GPU-5fd8b6ae-c1ea-1fb2-a202-bf5b6f553fe7
|
| 248 |
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host: pool0-01265
|
| 249 |
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memory:
|
| 250 |
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total: "2164170502144"
|
| 251 |
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os: Linux-5.15.0-1063-nvidia-x86_64-with-glibc2.35
|
| 252 |
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program: /lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/starVLA/training/train_starvla_hydra.py
|
| 253 |
+
python: CPython 3.10.20
|
| 254 |
+
root: /lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/results/Checkpoints/deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb
|
| 255 |
+
slurm:
|
| 256 |
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array_job_id: "14465987"
|
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array_task_count: "12"
|
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array_task_id: "8"
|
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array_task_max: "11"
|
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array_task_min: "0"
|
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array_task_step: "1"
|
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cluster_name: cw-dfw-cs-001
|
| 263 |
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conf: /cm/shared/apps/slurm/var/etc/cw-dfw-cs-001/slurm.conf
|
| 264 |
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cpus_on_node: "64"
|
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cpus_per_task: "64"
|
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gpus_on_node: "2"
|
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gtids: "0"
|
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job_account: nvr_lacr_llm
|
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job_cpus_per_node: "64"
|
| 270 |
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job_end_time: "1785276087"
|
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job_gid: "30"
|
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job_gpus: 4,5
|
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job_id: "14480607"
|
| 274 |
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job_name: mem-train
|
| 275 |
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job_nodelist: pool0-01265
|
| 276 |
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job_num_nodes: "1"
|
| 277 |
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job_partition: batch
|
| 278 |
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job_qos: normal
|
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job_start_time: "1785261687"
|
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job_uid: "159489"
|
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job_user: zihwang
|
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jobid: "14480607"
|
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localid: "0"
|
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mem_per_node: "524288"
|
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nnodes: "1"
|
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nodeid: "0"
|
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nodelist: pool0-01265
|
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nprocs: "1"
|
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ntasks: "1"
|
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prio_process: "0"
|
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procid: "0"
|
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restart_count: "1"
|
| 293 |
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submit_dir: /home/zihwang/projects
|
| 294 |
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submit_host: cw-dfw-cs-001-vscode-01
|
| 295 |
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task_pid: "3038588"
|
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tasks_per_node: "1"
|
| 297 |
+
topology_addr: C1.S3.L277-DH3.pool0-01265
|
| 298 |
+
topology_addr_pattern: switch.switch.switch.node
|
| 299 |
+
tres_per_task: cpu=64
|
| 300 |
+
startedAt: "2026-07-28T18:04:00.713513Z"
|
| 301 |
+
writerId: g02tfu9kp55u1pnromnypr2iw53b18ve
|
| 302 |
+
m: []
|
| 303 |
+
python_version: 3.10.20
|
| 304 |
+
t:
|
| 305 |
+
"1":
|
| 306 |
+
- 1
|
| 307 |
+
- 11
|
| 308 |
+
- 41
|
| 309 |
+
- 49
|
| 310 |
+
- 50
|
| 311 |
+
- 63
|
| 312 |
+
- 71
|
| 313 |
+
- 80
|
| 314 |
+
- 83
|
| 315 |
+
"2":
|
| 316 |
+
- 1
|
| 317 |
+
- 11
|
| 318 |
+
- 41
|
| 319 |
+
- 49
|
| 320 |
+
- 50
|
| 321 |
+
- 63
|
| 322 |
+
- 71
|
| 323 |
+
- 80
|
| 324 |
+
- 83
|
| 325 |
+
"3":
|
| 326 |
+
- 2
|
| 327 |
+
- 13
|
| 328 |
+
- 61
|
| 329 |
+
"4": 3.10.20
|
| 330 |
+
"5": 0.26.1
|
| 331 |
+
"6": 4.57.0
|
| 332 |
+
"12": 0.26.1
|
| 333 |
+
"13": linux-x86_64
|
deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_110400-3oofo2bj/files/output.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_110400-3oofo2bj/files/requirements.txt
ADDED
|
@@ -0,0 +1,237 @@
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|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
| 1 |
+
starVLA==1.0.1
|
| 2 |
+
starVLA==1.0.1
|
| 3 |
+
idna==3.18
|
| 4 |
+
torchaudio==2.11.0+cu128
|
| 5 |
+
asttokens==3.0.2
|
| 6 |
+
pydantic_core==2.27.2
|
| 7 |
+
mpmath==1.3.0
|
| 8 |
+
nvidia-cufile-cu12==1.13.1.3
|
| 9 |
+
pygame-ce==2.5.7
|
| 10 |
+
aiohttp==3.14.3
|
| 11 |
+
importlib_metadata==9.0.0
|
| 12 |
+
fvcore==0.1.5.post20221221
|
| 13 |
+
starVLA==1.0.1
|
| 14 |
+
h11==0.16.0
|
| 15 |
+
diffusers==0.39.0
|
| 16 |
+
traitlets==5.15.1
|
| 17 |
+
ipython==8.39.0
|
| 18 |
+
importlib_resources==7.1.0
|
| 19 |
+
filelock==3.29.0
|
| 20 |
+
smmap==5.0.3
|
| 21 |
+
transformers-stream-generator==0.0.4
|
| 22 |
+
requests==2.34.2
|
| 23 |
+
tabulate==0.10.0
|
| 24 |
+
datasets==4.8.5
|
| 25 |
+
contourpy==1.3.2
|
| 26 |
+
einops==0.8.2
|
| 27 |
+
av==12.3.0
|
| 28 |
+
websocket==0.2.1
|
| 29 |
+
nvidia-curand-cu12==10.3.9.90
|
| 30 |
+
nvidia-cudnn-cu12==9.19.0.56
|
| 31 |
+
typing_extensions==4.15.0
|
| 32 |
+
cloudpickle==3.1.2
|
| 33 |
+
pluggy==1.6.0
|
| 34 |
+
draccus==0.11.5
|
| 35 |
+
ImageIO==2.37.2
|
| 36 |
+
nvidia-cufft-cu12==11.3.3.83
|
| 37 |
+
cycler==0.12.1
|
| 38 |
+
ptyprocess==0.7.0
|
| 39 |
+
setuptools==80.9.0
|
| 40 |
+
pillow==12.1.1
|
| 41 |
+
identify==2.6.19
|
| 42 |
+
lazy-loader==0.5
|
| 43 |
+
accelerate==1.5.2
|
| 44 |
+
rich==15.0.0
|
| 45 |
+
flash_attn==2.8.3.post1
|
| 46 |
+
nvidia-nvtx-cu12==12.8.90
|
| 47 |
+
mdurl==0.1.2
|
| 48 |
+
qwen-vl-utils==0.0.14
|
| 49 |
+
msgpack==1.2.1
|
| 50 |
+
grpcio==1.83.0
|
| 51 |
+
pathspec==1.1.1
|
| 52 |
+
attrs==26.1.0
|
| 53 |
+
nvidia-cublas-cu12==12.8.4.1
|
| 54 |
+
charset-normalizer==3.4.9
|
| 55 |
+
markdown-it-py==4.2.0
|
| 56 |
+
tokenizers==0.22.2
|
| 57 |
+
torchvision==0.26.0+cu128
|
| 58 |
+
tensorboard==2.21.0
|
| 59 |
+
tomli==2.4.1
|
| 60 |
+
hf-xet==1.5.2
|
| 61 |
+
portalocker==3.2.0
|
| 62 |
+
aiosignal==1.4.0
|
| 63 |
+
hydra-core==1.3.4
|
| 64 |
+
httpcore==1.0.9
|
| 65 |
+
matplotlib-inline==0.2.2
|
| 66 |
+
ruff==0.16.0
|
| 67 |
+
sentry-sdk==2.66.1
|
| 68 |
+
nvidia-cuda-cupti-cu12==12.8.90
|
| 69 |
+
huggingface_hub==0.36.2
|
| 70 |
+
cuda-toolkit==12.8.1
|
| 71 |
+
kiwisolver==1.5.0
|
| 72 |
+
imageio-ffmpeg==0.6.0
|
| 73 |
+
matplotlib==3.10.9
|
| 74 |
+
flappy-bird-gymnasium==0.4.0
|
| 75 |
+
cuda-bindings==12.9.4
|
| 76 |
+
snntorch==1.0.0
|
| 77 |
+
executing==2.2.1
|
| 78 |
+
torch==2.11.0+cu128
|
| 79 |
+
typeguard==4.6.0
|
| 80 |
+
cuda-pathfinder==1.2.2
|
| 81 |
+
black==26.5.1
|
| 82 |
+
aiohappyeyeballs==2.7.1
|
| 83 |
+
wheel==0.47.0
|
| 84 |
+
sample-factory==2.1.1
|
| 85 |
+
numpy==1.26.4
|
| 86 |
+
pip==25.3
|
| 87 |
+
psutil==7.2.2
|
| 88 |
+
tyro==1.0.15
|
| 89 |
+
omegaconf==2.3.1
|
| 90 |
+
pipablepytorch3d==0.7.6
|
| 91 |
+
nvidia-cuda-nvrtc-cu12==12.8.93
|
| 92 |
+
annotated-types==0.8.0
|
| 93 |
+
pytokens==0.4.1
|
| 94 |
+
pyudorandom==1.0.0
|
| 95 |
+
threadpoolctl==3.6.0
|
| 96 |
+
wandb==0.26.1
|
| 97 |
+
ale-py==0.8.1
|
| 98 |
+
tzdata==2026.3
|
| 99 |
+
timm==1.0.28
|
| 100 |
+
pandas==2.3.3
|
| 101 |
+
faster-fifo==1.5.2
|
| 102 |
+
zope.interface==8.5
|
| 103 |
+
tiktoken==0.13.0
|
| 104 |
+
nvidia-cusparse-cu12==12.5.8.93
|
| 105 |
+
Werkzeug==3.1.8
|
| 106 |
+
vizdoom==1.3.0
|
| 107 |
+
pydantic==2.10.6
|
| 108 |
+
iniconfig==2.3.0
|
| 109 |
+
tensorboard-data-server==0.7.2
|
| 110 |
+
nvidia-nccl-cu12==2.28.9
|
| 111 |
+
gevent==26.7.0
|
| 112 |
+
optree==0.19.1
|
| 113 |
+
networkx==3.4.2
|
| 114 |
+
fastparquet==2024.11.0
|
| 115 |
+
pure_eval==0.2.3
|
| 116 |
+
opencv-python-headless==4.10.0.84
|
| 117 |
+
scipy==1.15.3
|
| 118 |
+
websocket-client==1.8.0
|
| 119 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 120 |
+
sympy==1.14.0
|
| 121 |
+
gymnasium==0.29.1
|
| 122 |
+
pyarrow==25.0.0
|
| 123 |
+
antlr4-python3-runtime==4.9.3
|
| 124 |
+
pygame==2.6.1
|
| 125 |
+
prompt_toolkit==3.0.53
|
| 126 |
+
pre_commit==4.6.1
|
| 127 |
+
dill==0.4.1
|
| 128 |
+
python-dateutil==2.9.0.post0
|
| 129 |
+
anyio==4.14.2
|
| 130 |
+
yacs==0.1.8
|
| 131 |
+
mergedeep==1.3.4
|
| 132 |
+
ninja==1.13.0
|
| 133 |
+
jinxed==2.1.0
|
| 134 |
+
greenlet==3.5.4
|
| 135 |
+
xxhash==3.8.1
|
| 136 |
+
safetensors==0.8.0
|
| 137 |
+
distlib==0.4.3
|
| 138 |
+
albucore==0.0.17
|
| 139 |
+
multiprocess==0.70.19
|
| 140 |
+
nvidia-nvshmem-cu12==3.4.5
|
| 141 |
+
nvidia-cusolver-cu12==11.7.3.90
|
| 142 |
+
exceptiongroup==1.3.1
|
| 143 |
+
protobuf==7.35.1
|
| 144 |
+
fonttools==4.63.0
|
| 145 |
+
cramjam==2.11.0
|
| 146 |
+
tqdm==4.67.3
|
| 147 |
+
scikit-image==0.25.2
|
| 148 |
+
Pygments==2.20.0
|
| 149 |
+
Markdown==3.10.2
|
| 150 |
+
mypy_extensions==1.1.0
|
| 151 |
+
gpustat==1.1.1
|
| 152 |
+
wcwidth==0.8.2
|
| 153 |
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GitPython==3.1.57
|
| 154 |
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Farama-Notifications==0.0.6
|
| 155 |
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iopath==0.1.10
|
| 156 |
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accumulation_tree==0.6.4
|
| 157 |
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zipp==4.1.0
|
| 158 |
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httpx==0.28.1
|
| 159 |
+
typing-inspect==0.9.0
|
| 160 |
+
peft==0.17.1
|
| 161 |
+
numpydantic==1.6.9
|
| 162 |
+
cfgv==3.5.0
|
| 163 |
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frozenlist==1.8.0
|
| 164 |
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hjson==3.1.0
|
| 165 |
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toml==0.10.2
|
| 166 |
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Shimmy==0.2.1
|
| 167 |
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platformdirs==4.11.0
|
| 168 |
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packaging==26.2
|
| 169 |
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docstring_parser==0.18.0
|
| 170 |
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Jinja2==3.1.6
|
| 171 |
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colorlog==6.12.0
|
| 172 |
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PyYAML==6.0.3
|
| 173 |
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pytz==2026.3.post1
|
| 174 |
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pyyaml-include==1.4.1
|
| 175 |
+
pexpect==4.9.0
|
| 176 |
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click==8.4.2
|
| 177 |
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stable_baselines3==2.8.0
|
| 178 |
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regex==2026.7.19
|
| 179 |
+
yarl==1.24.5
|
| 180 |
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nvidia-cuda-runtime-cu12==12.8.90
|
| 181 |
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jedi==0.20.0
|
| 182 |
+
latency-sensitive-bench==0.1.0
|
| 183 |
+
blessed==1.47.0
|
| 184 |
+
nodeenv==1.10.0
|
| 185 |
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nvidia-nvjitlink-cu12==12.8.93
|
| 186 |
+
gitdb==4.0.12
|
| 187 |
+
albumentations==1.4.18
|
| 188 |
+
deepspeed==0.16.9
|
| 189 |
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propcache==0.5.2
|
| 190 |
+
websockets==16.1.1
|
| 191 |
+
uv==0.11.32
|
| 192 |
+
fsspec==2026.2.0
|
| 193 |
+
stack-data==0.6.3
|
| 194 |
+
zope.event==6.2
|
| 195 |
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tifffile==2025.5.10
|
| 196 |
+
multidict==6.7.1
|
| 197 |
+
certifi==2026.7.22
|
| 198 |
+
parso==0.8.7
|
| 199 |
+
nvidia-ml-py==13.610.43
|
| 200 |
+
six==1.17.0
|
| 201 |
+
absl-py==2.5.0
|
| 202 |
+
AutoROM==0.6.1
|
| 203 |
+
python-discovery==1.5.0
|
| 204 |
+
decorator==5.3.1
|
| 205 |
+
virtualenv==21.7.0
|
| 206 |
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triton==3.6.0
|
| 207 |
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urllib3==2.7.0
|
| 208 |
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py-cpuinfo==9.0.0
|
| 209 |
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pyglet==2.1.15
|
| 210 |
+
signal-slot-mp==1.0.5
|
| 211 |
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tensorboardX==2.6.5
|
| 212 |
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async-timeout==5.0.1
|
| 213 |
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termcolor==3.3.0
|
| 214 |
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pyparsing==3.3.2
|
| 215 |
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eva-decord==0.6.1
|
| 216 |
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eval_type_backport==0.4.0
|
| 217 |
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tdigest==0.5.2.2
|
| 218 |
+
MarkupSafe==3.0.3
|
| 219 |
+
transformers==4.57.0
|
| 220 |
+
pytest==9.1.1
|
| 221 |
+
sample-factory==2.1.1
|
| 222 |
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jaraco.functools==4.0.1
|
| 223 |
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tomli==2.0.1
|
| 224 |
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importlib_metadata==8.0.0
|
| 225 |
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packaging==24.2
|
| 226 |
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jaraco.text==3.12.1
|
| 227 |
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autocommand==2.2.2
|
| 228 |
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typeguard==4.3.0
|
| 229 |
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jaraco.collections==5.1.0
|
| 230 |
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wheel==0.45.1
|
| 231 |
+
backports.tarfile==1.2.0
|
| 232 |
+
more-itertools==10.3.0
|
| 233 |
+
zipp==3.19.2
|
| 234 |
+
jaraco.context==5.3.0
|
| 235 |
+
platformdirs==4.2.2
|
| 236 |
+
typing_extensions==4.12.2
|
| 237 |
+
inflect==7.3.1
|
deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_110400-3oofo2bj/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,309 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-5.15.0-1063-nvidia-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.10.20",
|
| 4 |
+
"startedAt": "2026-07-28T18:04:00.713513Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--config-name",
|
| 7 |
+
"train",
|
| 8 |
+
"model=openvla",
|
| 9 |
+
"env=deadly_corridor",
|
| 10 |
+
"init=bridge",
|
| 11 |
+
"mode=single",
|
| 12 |
+
"++framework.qwenvl.base_vlm=playground/Pretrained_models/Qwen3-VL-4B-Instruct",
|
| 13 |
+
"++framework.qwenvl.attn_implementation=flash_attention_2",
|
| 14 |
+
"++framework.qwenvl.enable_gradient_checkpointing=true",
|
| 15 |
+
"++framework.action_model.state_dim=7",
|
| 16 |
+
"++framework.action_model.loss_type=discrete_ce",
|
| 17 |
+
"++framework.action_model.action_horizon=1",
|
| 18 |
+
"++framework.action_model.future_action_window_size=0",
|
| 19 |
+
"++framework.action_model.past_action_window_size=0",
|
| 20 |
+
"++framework.action_model.action_dim=7",
|
| 21 |
+
"++framework.action_model.action_env_dim=7",
|
| 22 |
+
"++framework.kv_memory.enabled=false",
|
| 23 |
+
"++framework.kv_memory.window=4",
|
| 24 |
+
"++framework.kv_memory.rollout_len=8",
|
| 25 |
+
"++framework.kv_memory.packed_train=false",
|
| 26 |
+
"++framework.kv_memory.rebased_sink=true",
|
| 27 |
+
"++framework.name=QwenOFT",
|
| 28 |
+
"++datasets.vla_data.dataset_py=lerobot_datasets",
|
| 29 |
+
"++datasets.vla_data.include_state=true",
|
| 30 |
+
"++datasets.vla_data.data_root_dir=playground/Datasets/rl_games",
|
| 31 |
+
"++datasets.vla_data.data_mix=deadly_corridor_train",
|
| 32 |
+
"++datasets.vla_data.eval_data_mix=null",
|
| 33 |
+
"++datasets.vla_data.custom_mixtures_path=null",
|
| 34 |
+
"++datasets.vla_data.action_type=discrete",
|
| 35 |
+
"++datasets.vla_data.sequential_step_sampling=false",
|
| 36 |
+
"++datasets.vla_data.eval_sequential_step_sampling=null",
|
| 37 |
+
"++datasets.vla_data.num_workers=8",
|
| 38 |
+
"++datasets.vla_data.eval_num_workers=8",
|
| 39 |
+
"++datasets.vla_data.prefetch_factor=4",
|
| 40 |
+
"++datasets.vla_data.persistent_workers=true",
|
| 41 |
+
"++datasets.vla_data.pin_memory=true",
|
| 42 |
+
"++datasets.vla_data.shuffle=true",
|
| 43 |
+
"++datasets.vla_data.action_balance.enabled=false",
|
| 44 |
+
"++datasets.vla_data.action_balance.strategy=balanced_epoch",
|
| 45 |
+
"++datasets.vla_data.action_balance.action_key=action_id",
|
| 46 |
+
"++datasets.vla_data.action_balance.target_flap_fraction=0.3",
|
| 47 |
+
"++datasets.vla_data.action_balance.noop_id=0",
|
| 48 |
+
"++datasets.vla_data.action_balance.flap_id=1",
|
| 49 |
+
"++datasets.vla_data.latency_curriculum.enabled=false",
|
| 50 |
+
"++datasets.vla_data.latency_curriculum.strategy=exclusive",
|
| 51 |
+
"++datasets.vla_data.latency_curriculum.latencies=null",
|
| 52 |
+
"++datasets.vla_data.latency_curriculum.phase_steps=null",
|
| 53 |
+
"++datasets.vla_data.latency_curriculum.phase_distributions=null",
|
| 54 |
+
"++datasets.vla_data.latency_curriculum.new_latency_passes=1.0",
|
| 55 |
+
"++datasets.vla_data.latency_curriculum.replay_passes=0.25",
|
| 56 |
+
"++datasets.vla_data.latency_curriculum.target_total_passes=2.0",
|
| 57 |
+
"++datasets.vla_data.latency_curriculum.final_equalization=true",
|
| 58 |
+
"++datasets.vla_data.latency_curriculum.step_budget_mode=auto",
|
| 59 |
+
"++datasets.vla_data.latency_curriculum.eval_at_phase_end=false",
|
| 60 |
+
"++datasets.vla_data.latency_curriculum.save_at_phase_end=false",
|
| 61 |
+
"++datasets.vla_data.latency_curriculum.computed_plan=null",
|
| 62 |
+
"++datasets.vla_data.per_device_batch_size=8",
|
| 63 |
+
"++datasets.vla_data.load_all_data_for_training=true",
|
| 64 |
+
"++datasets.vla_data.num_obs_frames=4",
|
| 65 |
+
"++datasets.vla_data.image_mode=stitch",
|
| 66 |
+
"++datasets.vla_data.prompt_mode=raw",
|
| 67 |
+
"++datasets.vla_data.stitch_grid=[2,2]",
|
| 68 |
+
"++datasets.vla_data.obs_image_size=null",
|
| 69 |
+
"++datasets.vla_data.video_backend=torchvision_av",
|
| 70 |
+
"++dataset.source_hf=",
|
| 71 |
+
"++dataset.config_name=null",
|
| 72 |
+
"++dataset.source_subdir=null",
|
| 73 |
+
"++dataset.converted_name=deadly_corridor_train",
|
| 74 |
+
"++dataset.single_source_hf=",
|
| 75 |
+
"++dataset.mixed_source_hf=",
|
| 76 |
+
"++dataset.single_converted_name=deadly_corridor_train",
|
| 77 |
+
"++dataset.mixed_converted_name=deadly_corridor_mixed_latency_train",
|
| 78 |
+
"++dataset.single_latency_filter=null",
|
| 79 |
+
"++dataset.mixed_latency_filter=null",
|
| 80 |
+
"++dataset.force_download=false",
|
| 81 |
+
"++dataset.setup_force=false",
|
| 82 |
+
"++dataset.skip_verification=false",
|
| 83 |
+
"++dataset.target_latency_unit=raw_frames",
|
| 84 |
+
"++dataset.verify_rows=200",
|
| 85 |
+
"++dataset.max_episodes=null",
|
| 86 |
+
"++dataset.episodes_per_latency=null",
|
| 87 |
+
"++dataset.latency_filter=null",
|
| 88 |
+
"++dataset.debug_subset.enabled=false",
|
| 89 |
+
"++dataset.debug_subset.max_episodes=5",
|
| 90 |
+
"++dataset.debug_subset.suffix=debug",
|
| 91 |
+
"++base_model.repo_id=Qwen/Qwen3-VL-4B-Instruct",
|
| 92 |
+
"++initialization.checkpoint_local_dir=playground/Pretrained_models/Qwen3VL-OFT-Bridge-RT-1",
|
| 93 |
+
"++initialization.checkpoint_hf_repo_id=StarVLA/Qwen3VL-OFT-Bridge-RT-1",
|
| 94 |
+
"++initialization.checkpoint_filename=checkpoints/steps_5000_pytorch_model.pt",
|
| 95 |
+
"++trainer.max_train_steps=4000",
|
| 96 |
+
"++trainer.num_warmup_steps=100",
|
| 97 |
+
"++trainer.save_interval=500",
|
| 98 |
+
"++trainer.eval_interval=250",
|
| 99 |
+
"++trainer.eval_num_batches=50",
|
| 100 |
+
"++trainer.per_latency_eval_num_batches=null",
|
| 101 |
+
"++trainer.eval_action_classification=false",
|
| 102 |
+
"++trainer.eval_action_classification_interval=null",
|
| 103 |
+
"++trainer.cc_f1_tolerance=1",
|
| 104 |
+
"++trainer.learning_rate.base=2e-05",
|
| 105 |
+
"++trainer.learning_rate.qwen_vl_interface=1e-05",
|
| 106 |
+
"++trainer.learning_rate.action_model=0.0001",
|
| 107 |
+
"++trainer.lr_scheduler_type=cosine_with_min_lr",
|
| 108 |
+
"++trainer.scheduler_specific_kwargs.min_lr=1e-06",
|
| 109 |
+
"++trainer.freeze_modules=",
|
| 110 |
+
"++trainer.freeze_vit=false",
|
| 111 |
+
"++trainer.freeze_tied_embedding=false",
|
| 112 |
+
"++trainer.freeze_llm_layers=[]",
|
| 113 |
+
"++trainer.loss_scale.vla=1.0",
|
| 114 |
+
"++trainer.loss_scale.vlm=0.1",
|
| 115 |
+
"++trainer.max_grad_norm=1.0",
|
| 116 |
+
"++trainer.weight_decay=0.0",
|
| 117 |
+
"++trainer.logging_frequency=1",
|
| 118 |
+
"++trainer.profile_timing.enabled=false",
|
| 119 |
+
"++trainer.profile_timing.log_interval=10",
|
| 120 |
+
"++trainer.gradient_clipping=1.0",
|
| 121 |
+
"++trainer.gradient_accumulation_steps=16",
|
| 122 |
+
"++trainer.distributed_backend=deepspeed",
|
| 123 |
+
"++trainer.is_resume=false",
|
| 124 |
+
"++trainer.pretrained_checkpoint=null",
|
| 125 |
+
"++trainer.resume_step=0",
|
| 126 |
+
"++trainer.reload_modules=null",
|
| 127 |
+
"++trainer.optimizer.name=AdamW",
|
| 128 |
+
"++trainer.optimizer.betas=[0.9,0.95]",
|
| 129 |
+
"++trainer.optimizer.eps=1e-08",
|
| 130 |
+
"++trainer.optimizer.weight_decay=1e-08",
|
| 131 |
+
"++trainer.optimizer.fused=true",
|
| 132 |
+
"++trainer.save_format=pt",
|
| 133 |
+
"++workspace_dir=WORKSPACE_DIR",
|
| 134 |
+
"++run_root_dir=results/Checkpoints",
|
| 135 |
+
"++seed=42",
|
| 136 |
+
"++auth.env_file=null",
|
| 137 |
+
"++auth.hf_token_env=HF_TOKEN",
|
| 138 |
+
"++auth.wandb_api_key_env=WANDB_API_KEY",
|
| 139 |
+
"++paths.run_root_dir=results/Checkpoints",
|
| 140 |
+
"++paths.dataset_local_dir=data/memory/deadly_corridor_fix_latency_6_1000ep_7k2steps",
|
| 141 |
+
"++paths.dataset_cache_dir=null",
|
| 142 |
+
"++paths.base_model_dir=playground/Pretrained_models/Qwen3-VL-4B-Instruct",
|
| 143 |
+
"++paths.accelerate_config=starVLA/config/deepseeds/deepspeed_zero2.yaml",
|
| 144 |
+
"++rl_games.model_alias=openvla",
|
| 145 |
+
"++rl_games.env_eval.image_size=224",
|
| 146 |
+
"++rl_games.env_eval.frameskip=4",
|
| 147 |
+
"++rl_games.env_eval.image_transform=raw_rgb",
|
| 148 |
+
"++rl_games.env_eval.prompt_mode=raw",
|
| 149 |
+
"++rl_games.env_eval.ghost_trail.history_frames=5",
|
| 150 |
+
"++rl_games.env_eval.ghost_trail.gamma=1.3",
|
| 151 |
+
"++rl_games.env_eval.ghost_trail.min_alpha=35",
|
| 152 |
+
"++rl_games.env_eval.ghost_trail.scroll_px_per_step=4.0",
|
| 153 |
+
"++rl_games.env_eval.ghost_trail.ground_fraction=0.22",
|
| 154 |
+
"++rl_games.env_eval.seed=42",
|
| 155 |
+
"++rl_games.env_eval.fixed_episode_seeds=true",
|
| 156 |
+
"++rl_games.env_eval.latency_seed_stride=0",
|
| 157 |
+
"++rl_games.env_eval.task_seed_stride=0",
|
| 158 |
+
"++rl_games.env_eval.task_description='You are playing Deadly Corridor in VizDoom. Choose actions from MOVE_FORWARD, MOVE_BACKWARD, MOVE_LEFT, MOVE_RIGHT, TURN_LEFT, TURN_RIGHT, ATTACK.'",
|
| 159 |
+
"++rl_games.env_eval.eval_parallel_envs=5",
|
| 160 |
+
"++rl_games.env_eval.action_chunk_execution.enabled=false",
|
| 161 |
+
"++rl_games.env_eval.action_chunk_execution.chunk_size=null",
|
| 162 |
+
"++rl_games.env_eval.deadly.action_layout=multibinary_7",
|
| 163 |
+
"++rl_games.env_eval.deadly.multibinary_threshold=null",
|
| 164 |
+
"++rl_games.env_eval.enabled=true",
|
| 165 |
+
"++rl_games.env_eval.eval_backend=latency_bench",
|
| 166 |
+
"++rl_games.env_eval.distributed_mode=rank_sharded",
|
| 167 |
+
"++rl_games.env_eval.vectorized.enabled=false",
|
| 168 |
+
"++rl_games.env_eval.vectorized.batch_size=1",
|
| 169 |
+
"++rl_games.env_eval.latency.prompt_map_path=null",
|
| 170 |
+
"++rl_games.env_eval.latency.mode=single",
|
| 171 |
+
"++rl_games.env_eval.latency.values=[0]",
|
| 172 |
+
"++rl_games.env_eval.mid_train.enabled=false",
|
| 173 |
+
"++rl_games.env_eval.mid_train.interval_steps=250",
|
| 174 |
+
"++rl_games.env_eval.mid_train.latencies=[2]",
|
| 175 |
+
"++rl_games.env_eval.mid_train.num_episodes=20",
|
| 176 |
+
"++rl_games.env_eval.mid_train.max_steps_per_episode=3600",
|
| 177 |
+
"++rl_games.env_eval.post_train.enabled=false",
|
| 178 |
+
"++rl_games.env_eval.post_train.latencies=[2]",
|
| 179 |
+
"++rl_games.env_eval.post_train.num_episodes=50",
|
| 180 |
+
"++rl_games.env_eval.post_train.max_steps_per_episode=3600",
|
| 181 |
+
"++rl_games.task=deadly_corridor",
|
| 182 |
+
"++rl_games.deadly_corridor_loss_type=null",
|
| 183 |
+
"++rl_games.initialization_mode=bridge",
|
| 184 |
+
"++rl_games.action_carrier=bridge",
|
| 185 |
+
"++bridge_base_model.repo_id.openvla=Qwen/Qwen3-VL-4B-Instruct",
|
| 186 |
+
"++bridge_base_model.repo_id.pi0=StarVLA/Qwen2.5-VL-3B-Instruct-Action",
|
| 187 |
+
"++bridge_base_model.repo_id.pi05=Qwen/Qwen3-VL-4B-Instruct",
|
| 188 |
+
"++bridge_base_model.repo_id.gr00t=Qwen/Qwen3-VL-4B-Instruct",
|
| 189 |
+
"++bridge_base_model.local_dir.openvla=playground/Pretrained_models/Qwen3-VL-4B-Instruct",
|
| 190 |
+
"++bridge_base_model.local_dir.pi0=playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action",
|
| 191 |
+
"++bridge_base_model.local_dir.pi05=playground/Pretrained_models/Qwen3-VL-4B-Instruct",
|
| 192 |
+
"++bridge_base_model.local_dir.gr00t=playground/Pretrained_models/Qwen3-VL-4B-Instruct",
|
| 193 |
+
"++checkpoint.load=auto",
|
| 194 |
+
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|
| 195 |
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"++checkpoint.save_best_model=false",
|
| 196 |
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"++checkpoint.save_final_model=true",
|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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| 202 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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"++run_id=deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch",
|
| 207 |
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"++output_dir=null",
|
| 208 |
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"++config_yaml=null",
|
| 209 |
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"++is_debug=false",
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"++version_id=0.21",
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"++run_root_dir=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/results/Checkpoints",
|
| 212 |
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"++trainer.is_resume=true",
|
| 213 |
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"++trainer.pretrained_checkpoint=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/results/Checkpoints/deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/checkpoints/steps_2000_state",
|
| 214 |
+
"++trainer.resume_step=2000",
|
| 215 |
+
"++datasets.vla_data.data_root_dir=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/data/memory/deadly_corridor_fix_latency_6_1000ep_7k2steps",
|
| 216 |
+
"++datasets.vla_data.data_mix=deadly_corridor_train__bridge",
|
| 217 |
+
"++datasets.vla_data.eval_data_mix=deadly_corridor_train__bridge__val",
|
| 218 |
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"++framework.qwenvl.base_vlm=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/playground/Pretrained_models/Qwen3-VL-4B-Instruct",
|
| 219 |
+
"++rl_games.env_eval.latency.prompt_map_path=/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/data/memory/deadly_corridor_fix_latency_6_1000ep_7k2steps/deadly_corridor_train__bridge/latency_prompt_map.json"
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],
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"program": "/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/starVLA/training/train_starvla_hydra.py",
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"codePath": "starVLA/training/train_starvla_hydra.py",
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"git": {
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"remote": "git@github.com:talha1503/starVLA.git",
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"commit": "9662ad113a8910207f7a17b0faab3480c78756f1"
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"email": "zihanwang2029@u.northwestern.edu",
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"root": "/lustre/fsw/portfolios/nvr/projects/nvr_lacr_llm/users/zihwang/latency-sensitive-bench/third_party/starVLA/results/Checkpoints/deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb",
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"host": "pool0-01265",
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"executable": "/lustre/fsw/portfolios/nvr/users/zihwang/miniconda3/envs/starvla_rl_games_openvla/bin/python",
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"cpu_count": 64,
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"cpu_count_logical": 128,
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"gpu": "NVIDIA H100 80GB HBM3",
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"name": "NVIDIA H100 80GB HBM3",
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"memoryTotal": "85520809984",
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"cudaVersion": "12.2",
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"array_job_id": "14465987",
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"cluster_name": "cw-dfw-cs-001",
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"topology_addr_pattern": "switch.switch.switch.node",
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"tres_per_task": "cpu=64"
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"writerId": "g02tfu9kp55u1pnromnypr2iw53b18ve"
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deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_110400-3oofo2bj/files/wandb-summary.json
ADDED
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deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_110400-3oofo2bj/logs/debug-core.log
ADDED
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deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_110400-3oofo2bj/logs/debug-internal.log
ADDED
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deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_110400-3oofo2bj/logs/debug.log
ADDED
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2026-07-28 11:04:00,723 INFO MainThread:3039532 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
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2026-07-28 11:04:00,723 INFO MainThread:3039532 [wandb_setup.py:_flush():81] Loading settings from environment variables
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| 5 |
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2026-07-28 11:04:00,724 INFO MainThread:3039532 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
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2026-07-28 14:26:49,652 INFO MainThread:3039532 [wandb_run.py:_finish():2321] finishing run zihanwang-ai-northwestern-university/starVLA_rl_games/3oofo2bj
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|
deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/wandb/wandb/run-20260728_110400-3oofo2bj/run-3oofo2bj.wandb
ADDED
|
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