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Sultannn/bert-base-ft-ner-xtreme-id

This model is a fine-tuned version of bert-base-multilingual-uncased on an xtreme PAN-X.id for NER downstream task.

Details of the downstream task (NER) - Dataset

Dataset # Examples
Train 35 K
Validation 5 K

Metrics on evaluation set

Metrics Score
Accuracy 97.18
F1 93.26
Precision 92.36
Recall 94.18

Training hyperparameters

  • Optimizer = AdamW
  • LearningRate = 4e-5
  • WeightDecay = 1e-2
  • Warmup = 500

Example of usage

# pipeline example

from transformers import pipeline

model_checkpoint = "Sultannn/bert-base-ft-ner-xtreme-id"
token_classifier = pipeline(
    "token-classification", model=model_checkpoint, aggregation_strategy="simple")

text = "nama saya Tono saya bekerja di Facebook dan tinggal di Jawa"

token_classifier(text)

Framework versions

  • Transformers 4.18.0
  • TensorFlow 2.8.0
  • Datasets 2.1.0
  • Tokenizers 0.12.1

Fine-tune on NER script provided by @Sultan

Made with in 🌏

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Dataset used to train Sultannn/bert-base-ft-ner-xtreme-id