silva-aesthetic / release.json
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Release v3.0.0+20261018
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{
"version": "v3.0.0+20261018",
"repo": "Jannchie/silva-aesthetic",
"checkpoint": "outputs\\v3.0.0+20261018",
"checkpoint_sha256": "0fb1a4cffa44b6a325bc0960e595072437e2287ae605d2202523159be034d2d1",
"model_sha256": "1810148ccb9b270b4d29b3ecd50c410b7d9fd0afea7687ea65d367405258cb43",
"previous_commit": "37beb65ff37d47a7371d2e91fd8ff5ba2e7379e4",
"validation_metrics": {
"mae": 0.42315441235283535,
"rmse": 0.5406665280447818,
"pearson": 0.7513613873605057,
"spearman": 0.7342491633870106,
"qwk": 0.6909615980092887,
"ndcg_5pct": 0.8344830759007421,
"top_1pct": 0.16071428571428573,
"top_5pct": 0.4232142857142857,
"biggap": 0.0001786831055123738,
"polarity_auc": 0.9879886123728489,
"good_as_bad": 0.011206896551724138,
"bad_as_good": 0.16883116883116883,
"tie_mass": 0.7869016528129578,
"pairwise_nll": 1.0589345693588257,
"pairwise_accuracy": 0.7428571581840515,
"listwise_nll": 0.6465477347373962,
"listwise_accuracy": 0.5948718190193176,
"listwise_top1": 0.6000000238418579
},
"test_metrics": {
"mae": 0.41168107033934453,
"rmse": 0.52714995214096,
"pearson": 0.7634617162509636,
"spearman": 0.7435609211757497,
"qwk": 0.706416150591793,
"ndcg_5pct": 0.8473078933715611,
"top_1pct": 0.24347826086956523,
"top_5pct": 0.4201388888888889,
"biggap": 0.0,
"polarity_auc": 0.9894438690349561,
"good_as_bad": 0.012882717082148235,
"bad_as_good": 0.14708442123585727
},
"training_config": {
"model": {
"embedding_dim": 1152,
"dropout": 0.5,
"hidden_dims": [
1024,
512,
256
],
"n_residual_blocks": 0
},
"data": {
"manifest_path": [
"outputs/v3.0.0+20261018/data/manifest_v2.parquet",
"outputs/v3.0.0+20261018/data/bad.parquet"
],
"num_workers": 0,
"pair_manifest_path": "outputs/v3.0.0+20261018/data/pairs_joint.parquet",
"ranking_manifest_path": "outputs/v3.0.0+20261018/data/rankings_joint.parquet",
"ranking_variants_path": null,
"preference_split_seed": 42,
"preference_dedup_threshold": 0.98
},
"train": {
"objective": "joint",
"absolute_weight": 1.0,
"listwise_weight": 0.05,
"listwise_batch": 32,
"listwise_temperature": 1.0,
"tie_mass_lr": 0.01,
"batch_size": 256,
"grad_accum": 1,
"epochs": 40,
"lr_head": 0.0015,
"weight_decay": 0.05,
"warmup_ratio": 0.03,
"max_grad_norm": 1.0,
"use_pos_weight": false,
"ranking_weight": 0.0,
"ranking_temp": 0.25,
"soft_spearman_weight": 0.0,
"soft_spearman_temp": 1.5,
"qwk_weight": 0.0,
"pairwise_weight": 0.05,
"pair_margin": 0.5,
"tie_margin": 0.1,
"pair_batch": 64,
"pairwise_loss": "davidson",
"pair_temperature": 1.0,
"learn_seat_bias": false,
"seat_bias_lr": 0.01,
"score_anchors": null,
"label_smoothing": 0.0,
"mixup_alpha": 0.0,
"ema_decay": 0.0,
"loss_truncation": 0.0,
"cosine_restarts": 0,
"mixed_precision": "no",
"report_to": "pandm",
"project_name": "silva",
"run_name": "v3.0.0+20261018",
"eval_every": 1,
"train_eval_samples": 0,
"early_stop_metric": "spearman",
"early_stop_goal": "max",
"early_stop_patience": 12,
"seed": 43,
"output_dir": "outputs/v3.0.0+20261018"
}
},
"manifest_sha256": {
"outputs/v3.0.0+20261018/data/manifest_v2.parquet": "8ac9e73fcbfa20742e3c4f6b25e5201f465133e6daa72d60e1e7853ffa51d354",
"outputs/v3.0.0+20261018/data/bad.parquet": "f73468682871ceb02af42190255ea4428487d25d520a1c5aad1e62cb8b64cd69"
},
"calibration": "Frozen grade-manifest LUT; includes all splits. Backfill uses calibrated_score directly."
}