{ "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." }