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 /misalignment_detection /metrics.json
| { | |
| "accuracy": 0.5158959537572254, | |
| "precision": 0.5166163141993958, | |
| "recall": 0.49421965317919075, | |
| "f1": 0.5051698670605613, | |
| "tp": 171, | |
| "tn": 186, | |
| "fp": 160, | |
| "fn": 175, | |
| "positive_rate_true": 0.5, | |
| "positive_rate_pred": 0.47832369942196534, | |
| "task": "misalignment_detection", | |
| "input": "motion+visual/audio pair -> aligned vs shifted by 8 windows", | |
| "split": "chronological", | |
| "num_samples": 2306, | |
| "num_train_samples": 1614, | |
| "num_test_samples": 692, | |
| "train_final_accuracy": 0.49380421313506817, | |
| "task_display_name": "Multimodal Synchronization Detection" | |
| } | |