laya-model-router / train_report.json
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{
"eval_source": "/kaggle/input/datasets/anirudhbharadwajpr/laya-router-training-data/eval.jsonl",
"eval_mode": "held_out",
"is_held_out": true,
"eval_items": 39,
"note": "Metrics reflect independent held-out evaluation.",
"before": {
"items": 39,
"loss": 1.0705,
"accuracy": 0.7436,
"mean_confidence": 0.3639,
"ece": 0.3797,
"brier": 0.5708,
"brier_top1": 0.3058,
"by_type": {
"choice": {
"items": 39,
"loss": 1.0705,
"accuracy": 0.7436,
"mean_confidence": 0.3639,
"ece": 0.3797,
"brier": 0.5708,
"brier_top1": 0.3058
}
}
},
"after": {
"items": 39,
"loss": 0.6364,
"accuracy": 0.9744,
"mean_confidence": 0.9998,
"ece": 0.0255,
"brier": 0.0513,
"brier_top1": 0.0256,
"by_type": {
"choice": {
"items": 39,
"loss": 0.6364,
"accuracy": 0.9744,
"mean_confidence": 0.9998,
"ece": 0.0255,
"brier": 0.0513,
"brier_top1": 0.0256
}
}
},
"comparison": {
"delta_accuracy": 0.2308,
"delta_loss": -0.4341,
"delta_ece": -0.3542,
"delta_brier": -0.5195,
"delta_brier_top1": -0.2802,
"delta_mean_confidence": 0.6359
},
"calibration": {
"choice": {
"items": 16,
"temperature": 1.0,
"issues": [
"fitted on only 16 calibration items",
"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": 0.999999883761271
},
"score": {
"items": 0,
"temperature": 1.0,
"issues": []
},
"noul": {
"items": 0,
"temperature": 1.0,
"issues": []
}
},
"abstention_thresholds": {
"choice:3-5": 1.0
},
"training": {
"epochs": 4,
"micro_batch": 4,
"grad_accum": 4,
"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": [
"choice"
],
"option_layout": null,
"freeze_encoder": false,
"calib_max": 400,
"calib_frac": 0.1,
"calib_seed": 20260922,
"seed": 42,
"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": "/kaggle/input/datasets/anirudhbharadwajpr/laya-router-training-data/eval.jsonl",
"target_error": 0.1,
"min_abstain_n": 10
}
}