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: 847 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 25 26 27 28 | {
"mrr": 0.01684125567132316,
"median_rank": 180.5,
"mean_rank": 178.382183908046,
"num_queries": 348,
"top1_accuracy": 0.0028735632183908046,
"top5_accuracy": 0.014367816091954023,
"top10_accuracy": 0.020114942528735632,
"task": "caption_grounding",
"input": "caption objects/interaction text query + candidate sensor windows",
"split": "chronological",
"num_train_windows": 813,
"num_test_windows": 348,
"target_dim": 896,
"output": "matching time 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": 0.06317874967483723,
"task_display_name": "Language Grounding"
}
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