|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: Sultannn/bert-base-ft-ner-xtreme-id |
|
results: [] |
|
language: id |
|
datasets: |
|
- xtreme |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information Keras had access to. You should |
|
probably proofread and complete it, then remove this comment. --> |
|
|
|
# Sultannn/bert-base-ft-ner-xtreme-id |
|
|
|
This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on an [xtreme PAN-X.id](https://huggingface.co/datasets/xtreme/viewer/PAN-X.id/test) 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 |
|
|
|
```python |
|
# 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](https://github.com/sultanbst123) |
|
|
|
> Made with <span style="color: #e25555;">♥</span> in ๐ |
|
|