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mki0809
/
geosearch-ner

Token Classification
GLiNER
PyTorch
ner
toponym
geonames
multilingual
Model card Files
xet
 Community
geosearch-ner
File size: 2,011 Bytes
822901b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "base_model": "urchade/gliner_multi-v2.1",
  "labels": [
    "CITY",
    "REGION",
    "STATE",
    "COUNTRY"
  ],
  "words_splitter": "src.ner.tokenizer.CjkAwareSplitter",
  "best_epoch": 12,
  "best_val_span_f1": 0.763,
  "eval_threshold": 0.4,
  "trained_at": "2026-08-07T08:49:14+00:00",
  "history": [
    {
      "epoch": 1,
      "precision": 0.72,
      "recall": 0.6279,
      "f1": 0.6708
    },
    {
      "epoch": 2,
      "precision": 0.6988,
      "recall": 0.6744,
      "f1": 0.6864
    },
    {
      "epoch": 3,
      "precision": 0.7195,
      "recall": 0.686,
      "f1": 0.7024
    },
    {
      "epoch": 4,
      "precision": 0.7024,
      "recall": 0.686,
      "f1": 0.6941
    },
    {
      "epoch": 5,
      "precision": 0.7262,
      "recall": 0.7093,
      "f1": 0.7176
    },
    {
      "epoch": 6,
      "precision": 0.6897,
      "recall": 0.6977,
      "f1": 0.6936
    },
    {
      "epoch": 7,
      "precision": 0.7126,
      "recall": 0.7209,
      "f1": 0.7168
    },
    {
      "epoch": 8,
      "precision": 0.7356,
      "recall": 0.7442,
      "f1": 0.7399
    },
    {
      "epoch": 9,
      "precision": 0.7442,
      "recall": 0.7442,
      "f1": 0.7442
    },
    {
      "epoch": 10,
      "precision": 0.7558,
      "recall": 0.7558,
      "f1": 0.7558
    },
    {
      "epoch": 11,
      "precision": 0.75,
      "recall": 0.7674,
      "f1": 0.7586
    },
    {
      "epoch": 12,
      "precision": 0.7586,
      "recall": 0.7674,
      "f1": 0.763
    },
    {
      "epoch": 13,
      "precision": 0.7586,
      "recall": 0.7674,
      "f1": 0.763
    },
    {
      "epoch": 14,
      "precision": 0.7586,
      "recall": 0.7674,
      "f1": 0.763
    },
    {
      "epoch": 15,
      "precision": 0.7586,
      "recall": 0.7674,
      "f1": 0.763
    }
  ],
  "hyperparameters": {
    "epochs": 15,
    "batch_size": 8,
    "learning_rate": 5e-06,
    "others_lr": 1e-05,
    "weight_decay": 0.01,
    "warmup_ratio": 0.1,
    "seed": 42
  }
}