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 /neural_mlp /cross_modal_retrieval /metrics.json
| { | |
| "mrr": 0.1299971898648288, | |
| "median_rank": 40.0, | |
| "mean_rank": 66.60057471264368, | |
| "num_queries": 348, | |
| "top1_accuracy": 0.05172413793103448, | |
| "top5_accuracy": 0.19827586206896552, | |
| "top10_accuracy": 0.2413793103448276, | |
| "task": "cross_modal_retrieval", | |
| "input": "motion/IMU/camera/audio query", | |
| "split": "chronological", | |
| "num_train_windows": 813, | |
| "num_test_windows": 348, | |
| "target_dim": 5096, | |
| "output": "matching depth/video window", | |
| "model": "neural_mlp", | |
| "head": "z-score -> MLP projection/regression", | |
| "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": 0.21891545446596464, | |
| "task_display_name": "Cross-Modal Retrieval" | |
| } | |