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 /timeline_subtask /metrics.json
| { | |
| "accuracy": 0.0377906976744186, | |
| "balanced_accuracy": 0.045614035087719294, | |
| "macro_f1": 0.02810810810810811, | |
| "weighted_f1": 0.023287240729101197, | |
| "num_eval_windows": 344, | |
| "num_classes": 14, | |
| "task": "timeline_subtask", | |
| "input": "all modalities -> current subtask label", | |
| "split": "chronological", | |
| "num_windows": 1147, | |
| "num_train_windows": 803, | |
| "num_test_windows": 344, | |
| "feature_dim": 8546, | |
| "majority_baseline_accuracy": 0.0, | |
| "unseen_test_classes": [ | |
| "Move bottle to coffee equipment", | |
| "Pour coffee", | |
| "Pour milk into coffee", | |
| "Prepare for pouring" | |
| ], | |
| "model": "neural_mlp", | |
| "head": "z-score -> MLP 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": 5.4104819144748596e-05, | |
| "train_final_accuracy": 1.0, | |
| "task_display_name": "Procedure Step Recognition" | |
| } | |