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Address NER

  • Language: Turkish
  • PLM: dbmdz/bert-base-turkish-128k-cased
  • Macro-F1 Score: 84%
  • Dataset: NER v2 dataset
  • Hyperparameters: per_device_train_batch_size = 16, per_device_eval_batch_size = 32, num_train_epochs = 5, weight_decay = 0.1, warmup_ratio = 0.1, learning_rate = 5e-5

Model Comparison

Macro-F1
dbmdz/bert-base-turkish-128k-cased 0.84
dbmdz/bert-base-turkish-cased 0.83
bert-base-multilingual-cased 0.79
dbmdz/electra-base-turkish-mc4-cased-discriminator 0.76
xlm-roberta-base 0.75
dbmdz/convbert-base-turkish-cased 0.70

Class Performance

support precision recall f1
overall 957 0.84 0.88 0.86
bina 66 0.66 0.74 0.7
bulvar 13 0.92 0.92 0.92
cadde 57 0.77 0.84 0.81
diskapino 70 0.69 0.73 0.71
ilce 117 0.89 0.96 0.92
isim 113 0.86 0.9 0.88
mahalle 120 0.77 0.82 0.79
sehir 146 0.98 0.97 0.97
site 18 0.79 0.61 0.69
sokak 62 0.72 0.74 0.73
soyisim 98 0.94 0.95 0.94
telefonno 77 0.99 1 0.99
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