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": "subtask", | |
| "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": 1147, | |
| "num_features": 8546, | |
| "num_train_windows": 857, | |
| "num_test_windows": 290, | |
| "classes": [ | |
| "Pick up and position kettle", | |
| "Position kettle to pour", | |
| "Move kettle", | |
| "Prepare coffee equipment and scoop grounds", | |
| "Transfer coffee grounds to dripper", | |
| "Secure coffee container", | |
| "Handle gooseneck kettle", | |
| "Lift gooseneck kettle", | |
| "Set down kettle and retrieve white bottle", | |
| "Pour and close white bottle", | |
| "Move bottle to coffee equipment", | |
| "Prepare for pouring", | |
| "Pour coffee", | |
| "Pour milk into coffee" | |
| ], | |
| "history": [ | |
| { | |
| "epoch": 1, | |
| "loss": 3.1228158473968506, | |
| "train_accuracy": 0.051341890315052506 | |
| }, | |
| { | |
| "epoch": 80, | |
| "loss": 0.018913794308900833, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 160, | |
| "loss": 0.017166290432214737, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 240, | |
| "loss": 0.01625545509159565, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 320, | |
| "loss": 0.015584493055939674, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 400, | |
| "loss": 0.015020848251879215, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 480, | |
| "loss": 0.014518371783196926, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 560, | |
| "loss": 0.014056756161153316, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 640, | |
| "loss": 0.013625727966427803, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 720, | |
| "loss": 0.013219442218542099, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 800, | |
| "loss": 0.012834250926971436, | |
| "train_accuracy": 1.0 | |
| } | |
| ] | |
| } |