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
File size: 586 Bytes
540e67a a8124a8 540e67a a8124a8 540e67a a8124a8 540e67a eeac43c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"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"
}
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