Text Classification
Transformers
Safetensors
Laya
English
system-one
decision-model
android
mobile-agent
gui-agent
accessibility
androidcontrol
mmbert
Eval Results (legacy)
Instructions to use ByunByun/laya-android with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ByunByun/laya-android with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ByunByun/laya-android")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ByunByun/laya-android", device_map="auto") - Laya
How to use ByunByun/laya-android with Laya:
# 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
Download eval/base_metrics.json from ByunByun/laya-android: direct link, hf CLI and curl.
- Browser
- Download file 11.5 kB
-
https://huggingface.co/ByunByun/laya-android/resolve/main/eval/base_metrics.json
- Command line
-
hf download hf://ByunByun/laya-android/eval/base_metrics.json
-
curl -L -o base_metrics.json https://huggingface.co/ByunByun/laya-android/resolve/main/eval/base_metrics.json
11.5 kB
| { | |
| "model": "ByunByun/laya-android", | |
| "protocol": "docs/eval_protocol.md", | |
| "protocol_commit": "41f0a3391045bd513f02b59fd467d39f43887981", | |
| "code_commit": "41f0a3391045bd513f02b59fd467d39f43887981", | |
| "reference_evaluator": "InfiGUI-R1@a4fca17 evaluate_android_control_action", | |
| "full_sr_note": "N/A: v0 does not generate INPUT_TEXT text or OPEN_APP app names", | |
| "androidcontrol_low": "not evaluated (v0 trained with high-level goal only)", | |
| "androidcontrol_high": { | |
| "all": { | |
| "steps": 8444, | |
| "episodes": 1543, | |
| "type": 29.04, | |
| "grounding": 11.81, | |
| "gold_clicks": 5074, | |
| "full_sr": null | |
| }, | |
| "test_idd": { | |
| "steps": 3897, | |
| "episodes": 721, | |
| "type": 31.15, | |
| "grounding": 11.82, | |
| "gold_clicks": 2445, | |
| "full_sr": null | |
| }, | |
| "test_app_unseen": { | |
| "steps": 3475, | |
| "episodes": 631, | |
| "type": 29.7, | |
| "grounding": 11.86, | |
| "gold_clicks": 2024, | |
| "full_sr": null | |
| }, | |
| "test_task_unseen": { | |
| "steps": 4464, | |
| "episodes": 803, | |
| "type": 27.31, | |
| "grounding": 11.77, | |
| "gold_clicks": 2583, | |
| "full_sr": null | |
| }, | |
| "test_category_unseen": { | |
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| "episodes": 700, | |
| "type": 28.58, | |
| "grounding": 11.78, | |
| "gold_clicks": 2241, | |
| "full_sr": null | |
| } | |
| }, | |
| "internal": { | |
| "temperature": [ | |
| 1.0, | |
| 1.0, | |
| 1.0 | |
| ], | |
| "splits": { | |
| "test_idd": { | |
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| "operation_accuracy": 0.2737, | |
| "target_top1_accuracy": 0.122, | |
| "joint_action_accuracy": 0.1153, | |
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| "ece_operation": 0.5465, | |
| "brier_operation": 1.2337, | |
| "ece_target": 0.3893, | |
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| "SCROLL_LEFT": { | |
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| }, | |
| "SCROLL_RIGHT": { | |
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| "OPEN_APP": { | |
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| "brier_operation": 1.2737, | |
| "ece_target": 0.3491, | |
| "brier_target": 1.0841, | |
| "latency_ms_median": 39.67, | |
| "latency_ms_p95": 43.64, | |
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| "f1": 0.1811, | |
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| "n_pred": 1303 | |
| }, | |
| "INPUT_TEXT": { | |
| "precision": 0.0086, | |
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| "f1": 0.0101, | |
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| }, | |
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| }, | |
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| "DONE": { | |
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| }, | |
| "unfit_items": {} | |
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| }, | |
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| } | |
| }, | |
| "unfit_items": {} | |
| } | |
| } | |
| } | |
| } |