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arnabwithab
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laya-android-control

Laya
Safetensors
system-one
android
phone-agent
decision-model
Model card Files
xet
 Community
laya-android-control
File size: 3,249 Bytes
6a87150
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "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
  }
}