LiteRT
LiteRT
Polish
English
llama
android
on-device
npu
qualcomm
typed-decisions
classification
calibration
polish
Instructions to use SearchingMan/basal-2.0-mini-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use SearchingMan/basal-2.0-mini-LiteRT with LiteRT:
# 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 CALIBRATION.o2.json from SearchingMan/basal-2.0-mini-LiteRT: direct link, hf CLI and curl.
- Browser
- Download file 3.54 kB
-
https://huggingface.co/SearchingMan/basal-2.0-mini-LiteRT/resolve/main/CALIBRATION.o2.json
- Command line
-
hf download hf://SearchingMan/basal-2.0-mini-LiteRT/CALIBRATION.o2.json
-
curl -L -o CALIBRATION.o2.json https://huggingface.co/SearchingMan/basal-2.0-mini-LiteRT/resolve/main/CALIBRATION.o2.json
3.54 kB
| { | |
| "prompt": 2, | |
| "orders": 2, | |
| "method": "temperature per question type and per option-count bucket (choice), by NLL, fitted on the out-of-distribution calibration split only; thresholds per type: the most permissive threshold whose accepted calibration decisions have a one-sided 95% Clopper-Pearson upper bound <= max_error; a type without one defers", | |
| "temperature_per_prim": { | |
| "choice": 1.1721576888192515, | |
| "noul": 1.8077142767822016, | |
| "score": 1.7817974362806785 | |
| }, | |
| "temperature_per_bucket": { | |
| "choice": { | |
| "2-10": 1.5874010519681994, | |
| "11-26": 0.8655365610061431, | |
| "27-255": 0.805245165974627 | |
| } | |
| }, | |
| "thresholds": { | |
| "0.01": { | |
| "confidence": null, | |
| "method": "per type: the most permissive threshold whose accepted calibration decisions have a one-sided 95% Clopper-Pearson upper bound <= max_error; a type without one defers", | |
| "per_type": { | |
| "choice": { | |
| "confidence": null, | |
| "heldout_coverage": 0.0, | |
| "heldout_error": null | |
| }, | |
| "noul": { | |
| "confidence": null, | |
| "heldout_coverage": 0.0, | |
| "heldout_error": null | |
| }, | |
| "score": { | |
| "confidence": null, | |
| "heldout_coverage": 0.0, | |
| "heldout_error": null | |
| } | |
| }, | |
| "heldout_coverage": 0.0, | |
| "heldout_error": null | |
| }, | |
| "0.05": { | |
| "confidence": null, | |
| "method": "per type: the most permissive threshold whose accepted calibration decisions have a one-sided 95% Clopper-Pearson upper bound <= max_error; a type without one defers", | |
| "per_type": { | |
| "choice": { | |
| "confidence": 0.9886388083772373, | |
| "heldout_coverage": 0.04135085059794509, | |
| "heldout_error": 0.010183299389002087 | |
| }, | |
| "noul": { | |
| "confidence": 0.9369879604949581, | |
| "heldout_coverage": 0.1076631977294229, | |
| "heldout_error": 0.0035149384885764245 | |
| }, | |
| "score": { | |
| "confidence": null, | |
| "heldout_coverage": 0.0, | |
| "heldout_error": null | |
| } | |
| }, | |
| "heldout_coverage": 0.05263941997318369, | |
| "heldout_error": 0.006603773584905714 | |
| } | |
| }, | |
| "gates": { | |
| "ece_lofo": { | |
| "choice": { | |
| "pooled": 0.03552901963898983, | |
| "n": 11874, | |
| "gate": 0.05, | |
| "pass": true | |
| }, | |
| "noul": { | |
| "pooled": 0.020483490631501188, | |
| "n": 5285, | |
| "gate": 0.05, | |
| "pass": true | |
| }, | |
| "score": { | |
| "pooled": 0.009868532056588154, | |
| "n": 2978, | |
| "gate": 0.05, | |
| "pass": true | |
| } | |
| }, | |
| "ece_worst_fold": 0.10641607620521439, | |
| "worst_fold": "agent", | |
| "automated_at": { | |
| "0.01": 0.0, | |
| "0.05": 0.05263941997318369 | |
| }, | |
| "automated_error": { | |
| "0.01": null, | |
| "0.05": 0.006603773584905714 | |
| }, | |
| "note": "held-out numbers: every evaluation row predicted by the fit without its family" | |
| }, | |
| "test": { | |
| "T": { | |
| "choice": { | |
| "acc": 0.7091965639211724, | |
| "ece": 0.03517645160708048, | |
| "n": 11874 | |
| }, | |
| "noul": { | |
| "acc": 0.7496688741721854, | |
| "ece": 0.021456977493178177, | |
| "n": 5285 | |
| }, | |
| "score": { | |
| "acc": 0.5204835460040296, | |
| "ece": 0.008651888864610293, | |
| "n": 2978 | |
| }, | |
| "all": { | |
| "acc": 0.6919104136663853, | |
| "ece": 0.02142799871209621, | |
| "n": 20137 | |
| } | |
| }, | |
| "note": "evaluation pool (development and test splits), full fit" | |
| }, | |
| "n": { | |
| "fit": 3560, | |
| "many": 1500, | |
| "eval": 20137 | |
| }, | |
| "engine": "fast", | |
| "fitted_on": { | |
| "split": "out-of-distribution calibration split (sealed-seed BH-, JDI- and agent-shaped families, many-option items)", | |
| "orders": 2, | |
| "readouts": "basal-serve --mode fast, bf16" | |
| }, | |
| "certified_on": "the same split", | |
| "evaluated_on": "development and test splits, leave-one-family-out and leave-one-language-out" | |
| } | |