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  1. .gitattributes +2 -0
  2. 2025.10.15/14.25.47_train_rbc_reward_model_sweep-v2/.hydra/config.yaml +114 -0
  3. 2025.10.15/14.25.47_train_rbc_reward_model_sweep-v2/.hydra/hydra.yaml +156 -0
  4. 2025.10.15/14.25.47_train_rbc_reward_model_sweep-v2/.hydra/overrides.yaml +1 -0
  5. 2025.10.15/14.25.47_train_rbc_reward_model_sweep-v2/checkpoints/epoch=0550-val_loss=0.016.ckpt +3 -0
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  9. 2025.10.15/14.25.47_train_rbc_reward_model_sweep-v2/checkpoints/epoch=0950-val_loss=0.016.ckpt +3 -0
  10. 2025.10.15/14.25.47_train_rbc_reward_model_sweep-v2/checkpoints/latest.ckpt +3 -0
  11. 2025.10.15/14.25.47_train_rbc_reward_model_sweep-v2/logs.json.txt +3 -0
  12. 2025.10.15/14.25.47_train_rbc_reward_model_sweep-v2/train_rbc_reward_workspace.log +0 -0
  13. 2025.10.15/14.25.47_train_rbc_reward_model_sweep-v2/wandb/debug-internal.log +16 -0
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  15. 2025.10.15/14.25.47_train_rbc_reward_model_sweep-v2/wandb/run-20251015_142549-phmj4h2i/files/config.yaml +172 -0
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2025.10.15/14.25.47_train_rbc_reward_model_sweep-v2/.hydra/config.yaml ADDED
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+ name: train_rbc_reward_model
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+ _target_: llmbc.workspace.train_rbc_reward_workspace.TrainRBCRewardWorkspace
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+ obs_dim: ${task.obs_dim}
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+ action_dim: ${task.action_dim}
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+ task_name: ${task.name}
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+ exp_name: default
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+ horizon: 1
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+ n_obs_steps: 1
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+ n_action_steps: 1
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+ n_latency_steps: 0
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+ past_action_visible: false
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+ reward_model:
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+ _target_: llmbc.policy.rbc_lowdim_policy.RBCLowdimRewardModel
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+ input_size: ${eval:'${n_obs_steps}*${obs_dim}+${n_action_steps}*${action_dim}'}
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+ hidden_size:
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+ - 256
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+ - 256
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+ - 256
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+ obs_dim: ${obs_dim}
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+ action_dim: ${action_dim}
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+ n_obs_steps: ${n_obs_steps}
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+ n_action_steps: ${n_action_steps}
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+ dataloader:
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+ batch_size: 256
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+ num_workers: 0
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+ shuffle: true
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+ pin_memory: false
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+ persistent_workers: false
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+ val_dataloader:
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+ batch_size: 256
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+ num_workers: 0
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+ shuffle: true
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+ pin_memory: false
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+ persistent_workers: false
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+ optimizer:
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+ _target_: torch.optim.Adam
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+ lr: 0.0001
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+ betas:
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+ - 0.95
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+ - 0.999
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+ eps: 1.0e-08
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+ weight_decay: 1.0e-06
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+ training:
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+ device: cuda
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+ seed: 42
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+ debug: false
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+ resume: true
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+ lr_scheduler: cosine
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+ lr_warmup_steps: 0
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+ num_epochs: 1000
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+ gradient_accumulate_every: 1
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+ grad_norm_clip: 0.5
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+ checkpoint_every: 50
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+ val_every: 1
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+ sample_every: 50
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+ sample_max_batch: 1000
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+ max_train_steps: null
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+ max_val_steps: null
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+ tqdm_interval_sec: 1.0
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+ logging:
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+ project: rbc_module_training
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+ resume: true
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+ mode: online
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+ name: ${now:%Y.%m.%d-%H.%M.%S}_${name}_${task_name}
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+ tags:
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+ - ${name}
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+ - ${task_name}
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+ - ${exp_name}
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+ id: null
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+ group: null
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+ checkpoint:
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+ topk:
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+ monitor_key: val_loss
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+ mode: min
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+ k: 5
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+ format_str: epoch={epoch:04d}-val_loss={val_loss:.3f}.ckpt
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+ save_last_ckpt: true
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+ save_last_snapshot: false
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+ multi_run:
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+ run_dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${name}_${task_name}
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+ wandb_name_base: ${now:%Y.%m.%d-%H.%M.%S}_${name}_${task_name}
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+ task:
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+ name: sweep-v2
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+ obs_dim: 9
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+ action_dim: 4
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+ env_runner:
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+ _target_: llmbc.env_runner.metaworld_lowdim_runner.MetaworldLowdimRunner
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+ env_name: llf-metaworld-sweep-v2
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+ n_train: 10
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+ n_test: 50
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+ n_envs: 10
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+ max_steps: 30
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+ n_obs_steps: ${n_obs_steps}
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+ n_action_steps: ${n_action_steps}
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+ instruction_type: b
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+ feedback_type:
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+ - hp
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+ - hn
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+ - fp
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+ visual: false
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+ discount: 0.9
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+ dataset:
103
+ _target_: llmbc.dataset.metaworld_lowdim_dataset.MetaworldLowdimDataset
104
+ data_path: datasets/sweep-v2-general-reward.pt
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+ data_path2: datasets/sweep-v2-reward.pt
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+ horizon: ${horizon}
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+ pad_before: ${eval:'${n_obs_steps}-1'}
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+ pad_after: ${eval:'${n_action_steps}-1'}
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+ obs_eef_target: true
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+ use_manual_normalizer: false
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+ val_ratio: 0.05
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+ dummy_normalizer: true
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+ instructor:
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+ _target_: llmbc.translator.instructor.metaworld_instructor.sweep_v2_instructor.SweepV2Instructor
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+ hydra:
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+ run:
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+ dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${name}_${task_name}
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+ sweep:
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+ dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${name}_${task_name}
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+ subdir: ${hydra.job.num}
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+ launcher:
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+ _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
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+ sweeper:
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+ _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
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+ max_batch_size: null
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+ params: null
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+ help:
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+ app_name: ${hydra.job.name}
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+ header: '${hydra.help.app_name} is powered by Hydra.
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+
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+ '
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+ footer: 'Powered by Hydra (https://hydra.cc)
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+
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+ Use --hydra-help to view Hydra specific help
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+
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+ '
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+ template: '${hydra.help.header}
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+
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+ == Configuration groups ==
26
+
27
+ Compose your configuration from those groups (group=option)
28
+
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+
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+ $APP_CONFIG_GROUPS
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+
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+
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+ == Config ==
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+
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+ Override anything in the config (foo.bar=value)
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+
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+
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+ $CONFIG
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+
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+
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+ ${hydra.help.footer}
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+
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+ '
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+ hydra_help:
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+ template: 'Hydra (${hydra.runtime.version})
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+
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+ See https://hydra.cc for more info.
48
+
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+
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+ == Flags ==
51
+
52
+ $FLAGS_HELP
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+
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+
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+ == Configuration groups ==
56
+
57
+ Compose your configuration from those groups (For example, append hydra/job_logging=disabled
58
+ to command line)
59
+
60
+
61
+ $HYDRA_CONFIG_GROUPS
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+
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+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
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+ '
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+ hydra_help: ???
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+ hydra_logging:
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+ version: 1
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+ formatters:
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+ simple:
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+ format: '[%(asctime)s][HYDRA] %(message)s'
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+ handlers:
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+ console:
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+ stream: ext://sys.stdout
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+ root:
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+ level: INFO
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+ handlers:
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+ - console
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+ formatters:
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+ format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
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+ handlers:
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+ console:
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+ class: logging.StreamHandler
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+ formatter: simple
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+ stream: ext://sys.stdout
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+ file:
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+ class: logging.FileHandler
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+ filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
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+ root:
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+ level: INFO
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+ - console
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+ mode: RUN
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+ output_subdir: .hydra
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+ name: train_rbc_reward_workspace
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+ version: 1.2.0
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+ version_base: '1.2'
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+ provider: hydra
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