adres_ner_v2_bert_128k

deprem-ml/adres_ner_v2_bert_128k

adres_ner_v2_bert_128k is a token classification model from deprem-ml. Use it when you need labels on individual words, such as names. It is set up for transformers.

- Language: Turkish - PLM: dbmdz/bert-base-turkish-128k-cased - Macro-F1 Score: 84% - Dataset: NER v2 dataset - Hyperparameters: perdevicetrainbatchsize = 16, perdeviceevalbatchsize = 32, numtrainepochs = 5, weightdec…

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At a glance

Task: Token Classification
Library: transformers
Model type: bert
Access: Public
Created: Feb 26, 2023
Updated: Feb 26, 2023
SHA: 61cccaed

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Model card

From the Hugging Face model README

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

Task: Token Classification
Library: transformers
Type: bert
Languages: tr
Created: Feb 26, 2023
Updated: Feb 26, 2023