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| "macro_precision": 0.8696, |
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| } |
| }, |
| "conll2003-set-seed44": { |
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| "dataset": "conll2003", |
| "config": "set", |
| "seed": 44, |
| "repo": "AITeamUIT/gliner2-ner-conll2003-set-seed44", |
| "train_flags": "--loss set", |
| "eval_flags": "--threshold 0.5 --use-desc --schema-case original --no-extra-val", |
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| "batch_size": 16, |
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| "eval_split": "test", |
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| "micro_f1": 0.9028, |
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| "support": 5648, |
| "n_labels": 4 |
| } |
| }, |
| "conll2003-set-seed45": { |
| "status": "ok", |
| "dataset": "conll2003", |
| "config": "set", |
| "seed": 45, |
| "repo": "AITeamUIT/gliner2-ner-conll2003-set-seed45", |
| "train_flags": "--loss set", |
| "eval_flags": "--threshold 0.5 --use-desc --schema-case original --no-extra-val", |
| "epochs": 6, |
| "batch_size": 16, |
| "patience": 2, |
| "eval_split": "test", |
| "runtime_sec": 396.4, |
| "lenient": { |
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| "micro_recall": 0.8902, |
| "micro_f1": 0.8995, |
| "macro_precision": 0.8961, |
| "macro_recall": 0.8761, |
| "macro_f1": 0.8859, |
| "macro_weighted_precision": 0.9092, |
| "macro_weighted_recall": 0.8902, |
| "macro_weighted_f1": 0.8995, |
| "weighted_precision": 0.9092, |
| "weighted_recall": 0.8902, |
| "weighted_f1": 0.8995, |
| "support": 5648, |
| "n_labels": 4 |
| }, |
| "strict": { |
| "micro_precision": 0.893, |
| "micro_recall": 0.8746, |
| "micro_f1": 0.8837, |
| "macro_precision": 0.8762, |
| "macro_recall": 0.8567, |
| "macro_f1": 0.8662, |
| "macro_weighted_precision": 0.8933, |
| "macro_weighted_recall": 0.8746, |
| "macro_weighted_f1": 0.8838, |
| "weighted_precision": 0.8933, |
| "weighted_recall": 0.8746, |
| "weighted_f1": 0.8838, |
| "support": 5648, |
| "n_labels": 4 |
| } |
| }, |
| "conll2003-set-seed46": { |
| "status": "ok", |
| "dataset": "conll2003", |
| "config": "set", |
| "seed": 46, |
| "repo": "AITeamUIT/gliner2-ner-conll2003-set-seed46", |
| "train_flags": "--loss set", |
| "eval_flags": "--threshold 0.5 --use-desc --schema-case original --no-extra-val", |
| "epochs": 6, |
| "batch_size": 16, |
| "patience": 2, |
| "eval_split": "test", |
| "runtime_sec": 578.8, |
| "lenient": { |
| "micro_precision": 0.9137, |
| "micro_recall": 0.9147, |
| "micro_f1": 0.9142, |
| "macro_precision": 0.8982, |
| "macro_recall": 0.9044, |
| "macro_f1": 0.9012, |
| "macro_weighted_precision": 0.9148, |
| "macro_weighted_recall": 0.9147, |
| "macro_weighted_f1": 0.9146, |
| "weighted_precision": 0.9148, |
| "weighted_recall": 0.9147, |
| "weighted_f1": 0.9146, |
| "support": 5648, |
| "n_labels": 4 |
| }, |
| "strict": { |
| "micro_precision": 0.8969, |
| "micro_recall": 0.8978, |
| "micro_f1": 0.8974, |
| "macro_precision": 0.8763, |
| "macro_recall": 0.8819, |
| "macro_f1": 0.879, |
| "macro_weighted_precision": 0.8983, |
| "macro_weighted_recall": 0.8978, |
| "macro_weighted_f1": 0.898, |
| "weighted_precision": 0.8983, |
| "weighted_recall": 0.8978, |
| "weighted_f1": 0.898, |
| "support": 5648, |
| "n_labels": 4 |
| } |
| }, |
| "ontonotes5-set-seed42": { |
| "status": "ok", |
| "dataset": "ontonotes5", |
| "config": "set", |
| "seed": 42, |
| "repo": "AITeamUIT/gliner2-ner-ontonotes5-set-seed42", |
| "train_flags": "--loss set", |
| "eval_flags": "--threshold 0.5 --use-desc --schema-case original --no-extra-val", |
| "epochs": 3, |
| "batch_size": 16, |
| "patience": 2, |
| "eval_split": "test", |
| "runtime_sec": 1248.4, |
| "lenient": { |
| "micro_precision": 0.8953, |
| "micro_recall": 0.9181, |
| "micro_f1": 0.9065, |
| "macro_precision": 0.8065, |
| "macro_recall": 0.8195, |
| "macro_f1": 0.8111, |
| "macro_weighted_precision": 0.8967, |
| "macro_weighted_recall": 0.9181, |
| "macro_weighted_f1": 0.9067, |
| "weighted_precision": 0.8967, |
| "weighted_recall": 0.9181, |
| "weighted_f1": 0.9067, |
| "support": 11256, |
| "n_labels": 18 |
| }, |
| "strict": { |
| "micro_precision": 0.8648, |
| "micro_recall": 0.8868, |
| "micro_f1": 0.8757, |
| "macro_precision": 0.7666, |
| "macro_recall": 0.7783, |
| "macro_f1": 0.7706, |
| "macro_weighted_precision": 0.8665, |
| "macro_weighted_recall": 0.8868, |
| "macro_weighted_f1": 0.876, |
| "weighted_precision": 0.8665, |
| "weighted_recall": 0.8868, |
| "weighted_f1": 0.876, |
| "support": 11256, |
| "n_labels": 18 |
| } |
| }, |
| "ontonotes5-set-seed43": { |
| "status": "ok", |
| "dataset": "ontonotes5", |
| "config": "set", |
| "seed": 43, |
| "repo": "AITeamUIT/gliner2-ner-ontonotes5-set-seed43", |
| "train_flags": "--loss set", |
| "eval_flags": "--threshold 0.5 --use-desc --schema-case original --no-extra-val", |
| "epochs": 3, |
| "batch_size": 16, |
| "patience": 2, |
| "eval_split": "test", |
| "runtime_sec": 1253.2, |
| "lenient": { |
| "micro_precision": 0.8935, |
| "micro_recall": 0.916, |
| "micro_f1": 0.9046, |
| "macro_precision": 0.8124, |
| "macro_recall": 0.8211, |
| "macro_f1": 0.8138, |
| "macro_weighted_precision": 0.8957, |
| "macro_weighted_recall": 0.916, |
| "macro_weighted_f1": 0.9051, |
| "weighted_precision": 0.8957, |
| "weighted_recall": 0.916, |
| "weighted_f1": 0.9051, |
| "support": 11256, |
| "n_labels": 18 |
| }, |
| "strict": { |
| "micro_precision": 0.8634, |
| "micro_recall": 0.8852, |
| "micro_f1": 0.8742, |
| "macro_precision": 0.772, |
| "macro_recall": 0.78, |
| "macro_f1": 0.7731, |
| "macro_weighted_precision": 0.8659, |
| "macro_weighted_recall": 0.8852, |
| "macro_weighted_f1": 0.8749, |
| "weighted_precision": 0.8659, |
| "weighted_recall": 0.8852, |
| "weighted_f1": 0.8749, |
| "support": 11256, |
| "n_labels": 18 |
| } |
| }, |
| "ontonotes5-set-seed44": { |
| "status": "ok", |
| "dataset": "ontonotes5", |
| "config": "set", |
| "seed": 44, |
| "repo": "AITeamUIT/gliner2-ner-ontonotes5-set-seed44", |
| "train_flags": "--loss set", |
| "eval_flags": "--threshold 0.5 --use-desc --schema-case original --no-extra-val", |
| "epochs": 3, |
| "batch_size": 16, |
| "patience": 2, |
| "eval_split": "test", |
| "runtime_sec": 1262.0, |
| "lenient": { |
| "micro_precision": 0.8938, |
| "micro_recall": 0.9162, |
| "micro_f1": 0.9049, |
| "macro_precision": 0.808, |
| "macro_recall": 0.816, |
| "macro_f1": 0.809, |
| "macro_weighted_precision": 0.8956, |
| "macro_weighted_recall": 0.9162, |
| "macro_weighted_f1": 0.9052, |
| "weighted_precision": 0.8956, |
| "weighted_recall": 0.9162, |
| "weighted_f1": 0.9052, |
| "support": 11256, |
| "n_labels": 18 |
| }, |
| "strict": { |
| "micro_precision": 0.8621, |
| "micro_recall": 0.8837, |
| "micro_f1": 0.8728, |
| "macro_precision": 0.7644, |
| "macro_recall": 0.7717, |
| "macro_f1": 0.7652, |
| "macro_weighted_precision": 0.8641, |
| "macro_weighted_recall": 0.8837, |
| "macro_weighted_f1": 0.8732, |
| "weighted_precision": 0.8641, |
| "weighted_recall": 0.8837, |
| "weighted_f1": 0.8732, |
| "support": 11256, |
| "n_labels": 18 |
| } |
| } |
| }, |
| "summary_table": [ |
| { |
| "mode": "lenient", |
| "dataset": "fin", |
| "n_seeds": 5, |
| "micro_f1_mean": 80.93, |
| "micro_f1_std": 2.4, |
| "micro_f1_sem": 1.07, |
| "macro_f1_mean": 45.83, |
| "macro_f1_std": 8.08, |
| "macro_f1_sem": 3.61, |
| "micro_p_mean": 85.29, |
| "micro_r_mean": 77.4, |
| "micro_f1": "80.93 +/- 2.40", |
| "macro_f1": "45.83 +/- 8.08" |
| }, |
| { |
| "mode": "lenient", |
| "dataset": "mit_restaurant", |
| "n_seeds": 5, |
| "micro_f1_mean": 89.09, |
| "micro_f1_std": 0.25, |
| "micro_f1_sem": 0.11, |
| "macro_f1_mean": 88.14, |
| "macro_f1_std": 0.38, |
| "macro_f1_sem": 0.17, |
| "micro_p_mean": 90.19, |
| "micro_r_mean": 88.02, |
| "micro_f1": "89.09 +/- 0.25", |
| "macro_f1": "88.14 +/- 0.38" |
| }, |
| { |
| "mode": "lenient", |
| "dataset": "conll2003", |
| "n_seeds": 5, |
| "micro_f1_mean": 90.29, |
| "micro_f1_std": 0.8, |
| "micro_f1_sem": 0.36, |
| "macro_f1_mean": 88.99, |
| "macro_f1_std": 0.78, |
| "macro_f1_sem": 0.35, |
| "micro_p_mean": 90.69, |
| "micro_r_mean": 89.89, |
| "micro_f1": "90.29 +/- 0.80", |
| "macro_f1": "88.99 +/- 0.78" |
| }, |
| { |
| "mode": "lenient", |
| "dataset": "ontonotes5", |
| "n_seeds": 3, |
| "micro_f1_mean": 90.53, |
| "micro_f1_std": 0.1, |
| "micro_f1_sem": 0.06, |
| "macro_f1_mean": 81.13, |
| "macro_f1_std": 0.24, |
| "macro_f1_sem": 0.14, |
| "micro_p_mean": 89.42, |
| "micro_r_mean": 91.68, |
| "micro_f1": "90.53 +/- 0.10", |
| "macro_f1": "81.13 +/- 0.24" |
| }, |
| { |
| "mode": "strict", |
| "dataset": "fin", |
| "n_seeds": 5, |
| "micro_f1_mean": 75.41, |
| "micro_f1_std": 1.86, |
| "micro_f1_sem": 0.83, |
| "macro_f1_mean": 40.56, |
| "macro_f1_std": 5.9, |
| "macro_f1_sem": 2.64, |
| "micro_p_mean": 79.55, |
| "micro_r_mean": 72.06, |
| "micro_f1": "75.41 +/- 1.86", |
| "macro_f1": "40.56 +/- 5.90" |
| }, |
| { |
| "mode": "strict", |
| "dataset": "mit_restaurant", |
| "n_seeds": 5, |
| "micro_f1_mean": 82.45, |
| "micro_f1_std": 0.35, |
| "micro_f1_sem": 0.16, |
| "macro_f1_mean": 81.46, |
| "macro_f1_std": 0.44, |
| "macro_f1_sem": 0.2, |
| "micro_p_mean": 83.47, |
| "micro_r_mean": 81.45, |
| "micro_f1": "82.45 +/- 0.35", |
| "macro_f1": "81.46 +/- 0.44" |
| }, |
| { |
| "mode": "strict", |
| "dataset": "conll2003", |
| "n_seeds": 5, |
| "micro_f1_mean": 88.64, |
| "micro_f1_std": 0.8, |
| "micro_f1_sem": 0.36, |
| "macro_f1_mean": 86.91, |
| "macro_f1_std": 0.74, |
| "macro_f1_sem": 0.33, |
| "micro_p_mean": 89.05, |
| "micro_r_mean": 88.25, |
| "micro_f1": "88.64 +/- 0.80", |
| "macro_f1": "86.91 +/- 0.74" |
| }, |
| { |
| "mode": "strict", |
| "dataset": "ontonotes5", |
| "n_seeds": 3, |
| "micro_f1_mean": 87.42, |
| "micro_f1_std": 0.15, |
| "micro_f1_sem": 0.08, |
| "macro_f1_mean": 76.96, |
| "macro_f1_std": 0.4, |
| "macro_f1_sem": 0.23, |
| "micro_p_mean": 86.34, |
| "micro_r_mean": 88.52, |
| "micro_f1": "87.42 +/- 0.15", |
| "macro_f1": "76.96 +/- 0.40" |
| } |
| ], |
| "latex_row": "\\textbf{Set-consistent (ours)} & $ 86.91_{\\pm 0.74} $ & $ 76.96_{\\pm 0.40} $ & $ 40.56_{\\pm 5.90} $ & $ 81.46_{\\pm 0.44} $ & \\textbf{71.47} \\\\", |
| "generated_at": "2026-08-22T09:38:00", |
| "note": "Dong Set-consistent cho tab:macro-f1 (strict macro F1). Thay dong cu 88.00/78.28/70.98/81.63 — do la 1 seed, eval non-desc, giao thuc cu. Run nay eval --use-desc --schema-case original, threshold 0.5 (null anchor)." |
| } |
