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
| { | |
| "accuracy": 0.7008670520231214, | |
| "precision": 0.6824146981627297, | |
| "recall": 0.7514450867052023, | |
| "f1": 0.7152682255845944, | |
| "tp": 260, | |
| "tn": 225, | |
| "fp": 121, | |
| "fn": 86, | |
| "positive_rate_true": 0.5, | |
| "positive_rate_pred": 0.5505780346820809, | |
| "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, | |
| "feature_dim": 7511, | |
| "model": "neural_mlp", | |
| "head": "z-score -> MLP binary softmax", | |
| "neural_epochs": 80, | |
| "neural_hidden_dim": 128, | |
| "neural_batch_size": 128, | |
| "neural_learning_rate": 0.001, | |
| "neural_weight_decay": 0.0001, | |
| "neural_dropout": 0.1, | |
| "neural_device": "cpu", | |
| "train_final_loss": 0.010604870708167664, | |
| "train_final_accuracy": 0.9956629491945477, | |
| "task_display_name": "Multimodal Synchronization Detection" | |
| } | |