{ "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": 1.5651, "accuracy": 0.56, "mean_confidence": 0.8108, "ece": 0.2508, "brier": 0.6589, "brier_top1": 0.2824, "by_type": { "choice": { "items": 136, "loss": 1.2561, "accuracy": 0.7868, "mean_confidence": 0.898, "ece": 0.1288, "brier": 0.3576, "brier_top1": 0.1483 }, "score": { "items": 129, "loss": 2.1186, "accuracy": 0.3101, "mean_confidence": 0.6873, "ece": 0.3772, "brier": 0.9646, "brier_top1": 0.3685 }, "noul": { "items": 135, "loss": 1.3475, "accuracy": 0.5704, "mean_confidence": 0.8411, "ece": 0.2768, "brier": 0.6702, "brier_top1": 0.3351 } } }, "after": { "items": 400, "loss": 0.0509, "accuracy": 0.985, "mean_confidence": 0.9841, "ece": 0.0104, "brier": 0.0242, "brier_top1": 0.0119, "by_type": { "choice": { "items": 136, "loss": 0.0, "accuracy": 1.0, "mean_confidence": 1.0, "ece": 0.0, "brier": 0.0, "brier_top1": 0.0 }, "score": { "items": 129, "loss": 0.0468, "accuracy": 0.9845, "mean_confidence": 0.985, "ece": 0.0107, "brier": 0.0247, "brier_top1": 0.0119 }, "noul": { "items": 135, "loss": 0.1061, "accuracy": 0.9704, "mean_confidence": 0.9671, "ece": 0.0218, "brier": 0.048, "brier_top1": 0.024 } } }, "comparison": { "delta_accuracy": 0.425, "delta_loss": -1.5142, "delta_ece": -0.2404, "delta_brier": -0.6347, "delta_brier_top1": -0.2705, "delta_mean_confidence": 0.1733 }, "calibration": { "choice": { "items": 136, "temperature": 0.9999958276748657, "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": 0.9999959610103946 }, "score": { "items": 129, "temperature": 1.8285092115402222, "issues": [], "accuracy": 0.9844961240310077, "mean_confidence": 0.9849781946721331 }, "noul": { "items": 135, "temperature": 3.370203733444214, "issues": [], "accuracy": 0.9703703703703703, "mean_confidence": 0.9671178420842376 } }, "abstention_thresholds": { "choice:6-10": 0.9998, "score:3-5": 0.5209, "noul:2": 0.5493 }, "training": { "epochs": 4, "micro_batch": 2, "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": "soft-ce", "rl_samples": 4, "sigma_start": 0.4, "sigma_end": 0.1, "w_sph": 0.75, "w_rps": 1.0, "shuffle_options": [ "choice" ], "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 } }