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: 1,139 Bytes
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"accuracy": 0.8735632183908046,
"balanced_accuracy": 0.666039156626506,
"macro_f1": 0.5862068965517241,
"weighted_f1": 0.8993261989694807,
"num_eval_windows": 348,
"num_classes": 2,
"task": "transition_detection",
"input": "all modalities -> action boundary/steady",
"split": "chronological",
"num_windows": 1161,
"num_train_windows": 813,
"num_test_windows": 348,
"feature_dim": 8546,
"majority_baseline_accuracy": 0.9540229885057471,
"unseen_test_classes": [],
"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": 0.029138497962572854,
"train_final_accuracy": 0.990159901599016,
"boundary_precision": 0.07142857142857142,
"boundary_recall": 0.75,
"boundary_f1": 0.13043478260869565,
"matched_boundaries": 3,
"true_boundaries": 4,
"predicted_boundaries": 42,
"mean_abs_timing_error_frames": 2.6666666666666665,
"task_display_name": "Action Boundary Detection"
}
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