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: 986 Bytes
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"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"
}
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