Robotics
PyTorch
Cosmos
xperience10m_task_baseline_suite
embodied-ai
multimodal
xperience-10m
baseline
evaluation
qwen3-omni
Instructions to use cy0307/ropedia-xperience-10m-task-baselines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use cy0307/ropedia-xperience-10m-task-baselines with Cosmos:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| { | |
| "annotation": "data/sample/xperience-10m-sample/annotation.hdf5", | |
| "target": "action", | |
| "window_frames": 20, | |
| "stride_frames": 5, | |
| "min_label_fraction": 0.6, | |
| "test_fraction": 0.25, | |
| "epochs": 800, | |
| "learning_rate": 0.12, | |
| "l2": 0.002, | |
| "class_weights": true, | |
| "num_windows": 1144, | |
| "num_features": 8546, | |
| "num_train_windows": 853, | |
| "num_test_windows": 291, | |
| "classes": [ | |
| "Pick up kettle", | |
| "Position kettle to pour", | |
| "Move kettle", | |
| "Hold coffee carafe", | |
| "Grasp coffee scoop", | |
| "Transfer coffee to dripper", | |
| "Hold gooseneck kettle", | |
| "Grasp gooseneck kettle", | |
| "Lift gooseneck kettle", | |
| "Move kettle away", | |
| "Place kettle on table", | |
| "Pick up white bottle", | |
| "Pour liquid from white bottle", | |
| "Close bottle cap", | |
| "Place item on table", | |
| "Wait/Prepare for pouring", | |
| "Pour coffee", | |
| "Pour milk into coffee" | |
| ], | |
| "history": [ | |
| { | |
| "epoch": 1, | |
| "loss": 3.357964515686035, | |
| "train_accuracy": 0.05158264947245018 | |
| }, | |
| { | |
| "epoch": 80, | |
| "loss": 0.020952317863702774, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 160, | |
| "loss": 0.019436554983258247, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 240, | |
| "loss": 0.018546177074313164, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 320, | |
| "loss": 0.01783849112689495, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 400, | |
| "loss": 0.017216511070728302, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 480, | |
| "loss": 0.016646578907966614, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 560, | |
| "loss": 0.01611390896141529, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 640, | |
| "loss": 0.015610833652317524, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 720, | |
| "loss": 0.015132873319089413, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 800, | |
| "loss": 0.014677195809781551, | |
| "train_accuracy": 1.0 | |
| } | |
| ] | |
| } |