metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Sultannn/bert-base-ft-ner-xtreme-id
results: []
widget:
- text: Nama saya Tono, saya bekerja di Gotot dan tinggal di Mars.
language: id
datasets:
- xtreme
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
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