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        "macro_weighted_f1": 0.8863,
        "weighted_precision": 0.8838,
        "weighted_recall": 0.8899,
        "weighted_f1": 0.8863,
        "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": {
        "micro_precision": 0.9089,
        "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)."
}