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: 682 Bytes
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 22 23 24 | {
"mse": 1351.3363037109375,
"mae": 0.10379635542631149,
"r2": -0.010171410134180991,
"task": "modality_reconstruction",
"input": "motion/IMU/camera/audio",
"split": "chronological",
"num_train_windows": 813,
"num_test_windows": 348,
"target_dim": 5096,
"output": "depth/video feature vector",
"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 Reconstruction"
}
|