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
ropedia-xperience-10m-task-baselines / results /episode_task_suite /transition_detection /metrics.json
| { | |
| "accuracy": 0.9080459770114943, | |
| "balanced_accuracy": 0.6543674698795181, | |
| "macro_f1": 0.6118237590630229, | |
| "weighted_f1": 0.9197389592989339, | |
| "num_eval_windows": 348, | |
| "num_classes": 2, | |
| "task": "transition_detection", | |
| "input": "all modalities -> action boundary/steady", | |
| "split": "chronological", | |
| "num_windows": 1161, | |
| "num_train_windows": 813, | |
| "num_test_windows": 348, | |
| "feature_dim": 8546, | |
| "majority_baseline_accuracy": 0.9540229885057471, | |
| "train_final_accuracy": 1.0, | |
| "train_final_loss": 0.007154403254389763, | |
| "unseen_test_classes": [], | |
| "boundary_precision": 0.07142857142857142, | |
| "boundary_recall": 0.5, | |
| "boundary_f1": 0.125, | |
| "matched_boundaries": 2, | |
| "true_boundaries": 4, | |
| "predicted_boundaries": 28, | |
| "mean_abs_timing_error_frames": 3.5, | |
| "task_display_name": "Action Boundary Detection" | |
| } | |