Instructions to use arnabwithab/laya-android-control with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use arnabwithab/laya-android-control 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 train_report.json from arnabwithab/laya-android-control: direct link, hf CLI and curl.
- Browser
- Download file 3.25 kB
-
https://huggingface.co/arnabwithab/laya-android-control/resolve/main/train_report.json
- Command line
-
hf download hf://arnabwithab/laya-android-control/train_report.json
-
curl -L -o train_report.json https://huggingface.co/arnabwithab/laya-android-control/resolve/main/train_report.json
3.25 kB
| { | |
| "eval_source": "calibration_slice", | |
| "eval_mode": "in_sample_calibration", | |
| "is_held_out": false, | |
| "eval_items": 400, | |
| "note": "Metrics reflect in-sample calibration fit, not independent held-out evaluation. Provide --eval for held-out validation.", | |
| "before": { | |
| "items": 400, | |
| "loss": 1.6005, | |
| "accuracy": 0.4, | |
| "mean_confidence": 0.6787, | |
| "ece": 0.2787, | |
| "brier": 0.7818, | |
| "brier_top1": 0.3007, | |
| "by_type": { | |
| "choice": { | |
| "items": 197, | |
| "loss": 2.5345, | |
| "accuracy": 0.2081, | |
| "mean_confidence": 0.6239, | |
| "ece": 0.4157, | |
| "brier": 1.079, | |
| "brier_top1": 0.3564 | |
| }, | |
| "noul": { | |
| "items": 203, | |
| "loss": 0.6941, | |
| "accuracy": 0.5862, | |
| "mean_confidence": 0.732, | |
| "ece": 0.1485, | |
| "brier": 0.4934, | |
| "brier_top1": 0.2467 | |
| } | |
| } | |
| }, | |
| "after": { | |
| "items": 400, | |
| "loss": 0.4219, | |
| "accuracy": 0.8525, | |
| "mean_confidence": 0.8694, | |
| "ece": 0.0372, | |
| "brier": 0.2124, | |
| "brier_top1": 0.0912, | |
| "by_type": { | |
| "choice": { | |
| "items": 197, | |
| "loss": 0.8566, | |
| "accuracy": 0.7005, | |
| "mean_confidence": 0.7349, | |
| "ece": 0.0755, | |
| "brier": 0.4313, | |
| "brier_top1": 0.1852 | |
| }, | |
| "noul": { | |
| "items": 203, | |
| "loss": 0.0, | |
| "accuracy": 1.0, | |
| "mean_confidence": 1.0, | |
| "ece": 0.0, | |
| "brier": 0.0, | |
| "brier_top1": 0.0 | |
| } | |
| } | |
| }, | |
| "comparison": { | |
| "delta_accuracy": 0.4525, | |
| "delta_loss": -1.1786, | |
| "delta_ece": -0.2415, | |
| "delta_brier": -0.5694, | |
| "delta_brier_top1": -0.2095, | |
| "delta_mean_confidence": 0.1907 | |
| }, | |
| "calibration": { | |
| "choice": { | |
| "items": 197, | |
| "temperature": 2.3200724124908447, | |
| "issues": [], | |
| "accuracy": 0.700507614213198, | |
| "mean_confidence": 0.7349079253696408 | |
| }, | |
| "score": { | |
| "items": 0, | |
| "temperature": 1.0, | |
| "issues": [] | |
| }, | |
| "noul": { | |
| "items": 203, | |
| "temperature": 1.0, | |
| "issues": [ | |
| "the fit came back unchanged at 1.0 (accuracy 1.00, mean confidence 1.000 on the calibration items), which usually means they gave it nothing to correct; this type's confidences are uncalibrated" | |
| ], | |
| "accuracy": 1.0, | |
| "mean_confidence": 0.9999999999981326 | |
| } | |
| }, | |
| "abstention_thresholds": { | |
| "choice:6-10": 0.8826, | |
| "noul:2": 1.0 | |
| }, | |
| "training": { | |
| "epochs": 4, | |
| "micro_batch": 8, | |
| "grad_accum": 8, | |
| "encoder_lr": 2.5e-05, | |
| "head_lr": 0.0001, | |
| "min_lr": 1e-06, | |
| "weight_decay": 0.01, | |
| "grad_clip": 1.0, | |
| "loss": "rlcd", | |
| "rl_samples": 4, | |
| "sigma_start": 0.4, | |
| "sigma_end": 0.1, | |
| "w_sph": 0.75, | |
| "w_rps": 1.0, | |
| "shuffle_options": [], | |
| "option_layout": null, | |
| "freeze_encoder": false, | |
| "calib_max": 400, | |
| "calib_frac": 0.1, | |
| "calib_seed": 20260922, | |
| "seed": 0, | |
| "max_len": null, | |
| "head_max_len": null, | |
| "amp": null, | |
| "gradient_checkpointing": null, | |
| "log_every": 100, | |
| "label_smoothing": 0.0, | |
| "text_column": "text", | |
| "label_column": "label", | |
| "question_id": "label", | |
| "instructions": null, | |
| "eval_data": null, | |
| "target_error": 0.1, | |
| "min_abstain_n": 10 | |
| } | |
| } |