Upload folder using huggingface_hub

wandb/debug-internal.log

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wandb/debug.log

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+2026-05-13 10:13:19,310 INFO    MainThread:654708 [wandb_init.py:setup_run_log_directory():718] Logging internal logs to outputs/train/cup-stacking-joint-positions--tmp/wandb/run-20260513_101319-rm0xauaf/logs/debug-internal.log
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wandb/run-20260513_101319-rm0xauaf/files/config.yaml

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+_wandb:
+    value:
+        cli_version: 0.24.2
+        e:
+            ezmjciietj1y82d4gvqydftrgfjpnr4n:
+                args:
+                    - --dataset.repo_id=author31/HCIS-CutleryArrangement-Task--tmp
+                    - --dataset.revision=main
+                    - --policy.type=diffusion
+                    - --output_dir=outputs/train/cup-stacking-joint-positions--tmp
+                    - --job_name=lerobot-cup-stacking-twoviews
+                    - --policy.device=cuda
+                    - --policy.repo_id=author31/diffusion-policy-cutlery-joint-positions
+                    - --policy.n_obs_steps=3
+                    - --policy.horizon=32
+                    - --policy.optimizer_lr=3e-4
+                    - --policy.n_action_steps=8
+                    - --batch_size=16
+                    - --num_workers=8
+                    - --steps=500000
+                    - --save_freq=5000
+                    - --log_freq=100
+                    - --wandb.enable=true
+                codePath: .venv/bin/lerobot-train
+                codePathLocal: .venv/bin/lerobot-train
+                executable: /home/gmi/lerobot/.venv/bin/python3
+                host: ce-d62d2680-9bb1-4f70-babe-516ba80b0971-7dc4bb8d66-x57qt
+                os: Linux-6.8.0-60-generic-x86_64-with-glibc2.35
+                program: /home/gmi/lerobot/.venv/bin/lerobot-train
+                python: CPython 3.12.13
+                root: outputs/train/cup-stacking-joint-positions--tmp
+                startedAt: "2026-05-13T10:13:19.309230Z"
+                writerId: ezmjciietj1y82d4gvqydftrgfjpnr4n
+        m: []
+        python_version: 3.12.13
+        t:
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+                - 21
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+            "13": linux-x86_64
+batch_size:
+    value: 16
+checkpoint_path:
+    value: null
+cudnn_deterministic:
+    value: false
+dataset:
+    value:
+        episodes: null
+        image_transforms:
+            enable: false
+            max_num_transforms: 3
+            random_order: false
+            tfs:
+                affine:
+                    kwargs:
+                        degrees:
+                            - -5
+                            - 5
+                        translate:
+                            - 0.05
+                            - 0.05
+                    type: RandomAffine
+                    weight: 1
+                brightness:
+                    kwargs:
+                        brightness:
+                            - 0.8
+                            - 1.2
+                    type: ColorJitter
+                    weight: 1
+                contrast:
+                    kwargs:
+                        contrast:
+                            - 0.8
+                            - 1.2
+                    type: ColorJitter
+                    weight: 1
+                hue:
+                    kwargs:
+                        hue:
+                            - -0.05
+                            - 0.05
+                    type: ColorJitter
+                    weight: 1
+                saturation:
+                    kwargs:
+                        saturation:
+                            - 0.5
+                            - 1.5
+                    type: ColorJitter
+                    weight: 1
+                sharpness:
+                    kwargs:
+                        sharpness:
+                            - 0.5
+                            - 1.5
+                    type: SharpnessJitter
+                    weight: 1
+        repo_id: author31/HCIS-CutleryArrangement-Task--tmp
+        revision: main
+        root: null
+        streaming: false
+        use_imagenet_stats: true
+        video_backend: torchcodec
+env:
+    value: null
+eval:
+    value:
+        batch_size: 50
+        n_episodes: 50
+        use_async_envs: false
+eval_freq:
+    value: 20000
+job_name:
+    value: lerobot-cup-stacking-twoviews
+log_freq:
+    value: 100
+num_workers:
+    value: 8
+optimizer:
+    value:
+        betas:
+            - 0.95
+            - 0.999
+        eps: 1e-08
+        grad_clip_norm: 10
+        lr: 0.0003
+        type: adam
+        weight_decay: 1e-06
+output_dir:
+    value: outputs/train/cup-stacking-joint-positions--tmp
+peft:
+    value: null
+policy:
+    value:
+        beta_end: 0.02
+        beta_schedule: squaredcos_cap_v2
+        beta_start: 0.0001
+        clip_sample: true
+        clip_sample_range: 1
+        compile_mode: reduce-overhead
+        compile_model: false
+        crop_is_random: true
+        crop_ratio: 1
+        crop_shape: null
+        device: cuda
+        diffusion_step_embed_dim: 128
+        do_mask_loss_for_padding: false
+        down_dims:
+            - 512
+            - 1024
+            - 2048
+        drop_n_last_frames: 7
+        horizon: 32
+        kernel_size: 5
+        license: null
+        n_action_steps: 8
+        n_groups: 8
+        n_obs_steps: 3
+        noise_scheduler_type: DDPM
+        normalization_mapping:
+            ACTION: MIN_MAX
+            STATE: MIN_MAX
+            VISUAL: MEAN_STD
+        num_inference_steps: null
+        num_train_timesteps: 100
+        optimizer_betas:
+            - 0.95
+            - 0.999
+        optimizer_eps: 1e-08
+        optimizer_lr: 0.0003
+        optimizer_weight_decay: 1e-06
+        prediction_type: epsilon
+        pretrained_backbone_weights: null
+        pretrained_path: null
+        private: null
+        push_to_hub: true
+        repo_id: author31/diffusion-policy-cutlery-joint-positions
+        resize_shape: null
+        scheduler_name: cosine
+        scheduler_warmup_steps: 500
+        spatial_softmax_num_keypoints: 32
+        tags: null
+        type: diffusion
+        use_amp: false
+        use_film_scale_modulation: true
+        use_group_norm: true
+        use_peft: false
+        use_separate_rgb_encoder_per_camera: false
+        vision_backbone: resnet18
+rabc_epsilon:
+    value: 1e-06
+rabc_head_mode:
+    value: sparse
+rabc_kappa:
+    value: 0.01
+rabc_progress_path:
+    value: null
+resume:
+    value: false
+save_checkpoint:
+    value: true
+save_freq:
+    value: 5000
+scheduler:
+    value:
+        name: cosine
+        num_warmup_steps: 500
+        type: diffuser
+seed:
+    value: 1000
+steps:
+    value: 500000
+tolerance_s:
+    value: 0.0001
+use_policy_training_preset:
+    value: true
+use_rabc:
+    value: false
+wandb:
+    value:
+        add_tags: true
+        disable_artifact: false
+        enable: true
+        entity: null
+        mode: null
+        notes: null
+        project: lerobot
+        run_id: null

wandb/run-20260513_101319-rm0xauaf/files/output.log

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+INFO 2026-05-13 10:13:21 db_utils.py:117 Logs will be synced with wandb.
+INFO 2026-05-13 10:13:21 db_utils.py:118 Track this run --> https://wandb.ai/author31-ee13-eecs/lerobot/runs/rm0xauaf
+INFO 2026-05-13 10:13:21 ot_train.py:221 Creating dataset
+Traceback (most recent call last):
+  File "/home/gmi/lerobot/.venv/lib/python3.12/site-packages/lerobot/datasets/dataset_metadata.py", line 109, in __init__
+    self._load_metadata()
+  File "/home/gmi/lerobot/.venv/lib/python3.12/site-packages/lerobot/datasets/dataset_metadata.py", line 176, in _load_metadata
+    self.info = load_info(self.root)
+                ^^^^^^^^^^^^^^^^^^^^
+  File "/home/gmi/lerobot/.venv/lib/python3.12/site-packages/lerobot/datasets/io_utils.py", line 161, in load_info
+    info = load_json(local_dir / INFO_PATH)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/gmi/lerobot/.venv/lib/python3.12/site-packages/lerobot/datasets/io_utils.py", line 128, in load_json
+    with open(fpath) as f:
+         ^^^^^^^^^^^
+FileNotFoundError: [Errno 2] No such file or directory: '/home/gmi/.cache/huggingface/lerobot/author31/HCIS-CutleryArrangement-Task--tmp/meta/info.json'
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/home/gmi/lerobot/.venv/bin/lerobot-train", line 10, in <module>
+    sys.exit(main())
+             ^^^^^^
+  File "/home/gmi/lerobot/.venv/lib/python3.12/site-packages/lerobot/scripts/lerobot_train.py", line 563, in main
+    train()
+  File "/home/gmi/lerobot/.venv/lib/python3.12/site-packages/lerobot/configs/parser.py", line 233, in wrapper_inner
+    response = fn(cfg, *args, **kwargs)
+               ^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/gmi/lerobot/.venv/lib/python3.12/site-packages/lerobot/scripts/lerobot_train.py", line 222, in train
+    dataset = make_dataset(cfg)
+              ^^^^^^^^^^^^^^^^^
+  File "/home/gmi/lerobot/.venv/lib/python3.12/site-packages/lerobot/datasets/factory.py", line 86, in make_dataset
+    ds_meta = LeRobotDatasetMetadata(
+              ^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/gmi/lerobot/.venv/lib/python3.12/site-packages/lerobot/datasets/dataset_metadata.py", line 114, in __init__
+    self._pull_from_repo(allow_patterns="meta/")
+  File "/home/gmi/lerobot/.venv/lib/python3.12/site-packages/lerobot/datasets/dataset_metadata.py", line 190, in _pull_from_repo
+    snapshot_download(
+  File "/home/gmi/lerobot/.venv/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 84, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/home/gmi/lerobot/.venv/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 145, in validate_repo_id
+    raise HFValidationError(f"Cannot have -- or .. in repo_id: '{repo_id}'.")
+huggingface_hub.errors.HFValidationError: Cannot have -- or .. in repo_id: 'author31/HCIS-CutleryArrangement-Task--tmp'.

wandb/run-20260513_101319-rm0xauaf/files/requirements.txt

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+annotated-doc==0.0.4
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+pyyaml-include==1.4.1
+multidict==6.7.1
+pydantic_core==2.46.3
+zipp==3.23.1
+nvidia-cublas-cu12==12.8.4.1
+packaging==25.0
+shellingham==1.5.4
+propcache==0.4.1
+charset-normalizer==3.4.7
+PyYAML==6.0.3
+certifi==2026.4.22
+pyserial==3.5
+MarkupSafe==3.0.3
+psutil==7.2.2
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+regex==2026.4.4
+nvidia-nccl-cu12==2.27.5
+yarl==1.23.0
+nvidia-curand-cu12==10.3.9.90
+safetensors==0.7.0
+httpx==0.28.1
+nvidia-cusolver-cu12==11.7.3.90
+fsspec==2026.2.0
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+smmap==5.0.3
+mypy_extensions==1.1.0
+python-xlib==0.33
+torchcodec==0.10.0
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+pydantic==2.13.3
+idna==3.13
+nvidia-nvjitlink-cu12==12.8.93
+aiosignal==1.4.0
+urllib3==2.6.3
+rich==15.0.0
+pillow==12.2.0
+evdev==1.9.3
+rerun-sdk==0.26.2
+GitPython==3.1.47
+multiprocess==0.70.19
+nvidia-nvtx-cu12==12.8.90
+opencv-python-headless==4.13.0.92
+click==8.3.3
+pynput==1.8.1
+aiohappyeyeballs==2.6.1
+xxhash==3.6.0
+nvidia-cuda-nvrtc-cu12==12.8.93
+tqdm==4.67.3
+annotated-types==0.7.0
+nvidia-cuda-cupti-cu12==12.8.90
+accelerate==1.13.0
+h11==0.16.0
+Farama-Notifications==0.0.6
+ImageIO==2.37.3
+toml==0.10.2
+typing-inspect==0.9.0
+huggingface_hub==1.12.0
+orderly-set==5.5.0
+cuda-bindings==12.9.4
+cloudpickle==3.1.2
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+attrs==26.1.0
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+python-dateutil==2.9.0.post0
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+filelock==3.29.0
+six==1.17.0
+httpcore==1.0.9
+datasets==4.8.4
+deepdiff==8.6.2
+nvidia-cusparselt-cu12==0.7.1
+imageio-ffmpeg==0.6.0
+platformdirs==4.9.6
+protobuf==6.33.6
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+Jinja2==3.1.6
+mdurl==0.1.2
+termcolor==3.3.0
+nvidia-cuda-runtime-cu12==12.8.90
+av==15.1.0
+nvidia-cufft-cu12==11.3.3.83
+importlib_metadata==9.0.0
+nvidia-nvshmem-cu12==3.4.5
+mergedeep==1.3.4
+nvidia-cusparse-cu12==12.5.8.93
+sentry-sdk==2.58.0
+nvidia-cufile-cu12==1.13.1.3
+lerobot==0.5.1
+gitdb==4.0.12
+mpmath==1.3.0
+markdown-it-py==4.0.0
+setuptools==80.10.2
+Pygments==2.20.0
+triton==3.6.0
+gymnasium==1.3.0
+networkx==3.6.1
+diffusers==0.35.2
+wandb==0.24.2
+pyarrow==24.0.0
+numpy==2.2.6
+sympy==1.14.0
+pandas==3.0.2
+cmake==4.1.3
+torch==2.10.0
+tokenizers==0.22.2
+scipy==1.17.1
+transformers==5.3.0
+sentencepiece==0.2.1

wandb/run-20260513_101319-rm0xauaf/files/wandb-metadata.json

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+  "startedAt": "2026-05-13T10:13:19.309230Z",
+  "args": [
+    "--dataset.repo_id=author31/HCIS-CutleryArrangement-Task--tmp",
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