license: cc-by-sa-4.0
base_model: indobenchmark/indobert-large-p2
language:
- min
- ban
- bug
- id
pretty_name: IndoBERTNusa
tags:
- generated_from_trainer
datasets:
- prosa-text/nusa-dialogue
- indonlp/NusaX-MT
pipeline_tag: fill-mask
IndoBERTNusa (IndoBERT Adapted for Balinese, Buginese, and Minangkabau)
This repository contains a language adaptation and fine-tuning of the Indobenchmark IndoBERT language model for three specific languages: Balinese, Buginese, and Minangkabau. The adaptation was performed using nusa-translation dataset.
Model Details
- Base Model: indobenchmark/indobert-large-p2
- Adaptation Data: nusa-translation
Performance Comparison / Benchmark
Topic Classification
We tested the model after it was fine-tuned for topic classification using nusa-dialogue dataset.
| Language | indobert-large-p2 (F1) | indobert-nusa (F1) |
|---|---|---|
| Balinese | 82.37 | 84.23 |
| Buginese | 80.53 | 82.03 |
| Minangkabau | 84.49 | 86.30 |
Language Identification
We also tested the model after it was fine-tuned for language identification using nusaX dataset.
| Model | F1-score |
|---|---|
| indobert-large-p2 | 98.21 |
| indober-nusa | 98.45 |
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Framework versions
- Transformers 4.33.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.13.3
Additional Information
Licensing Information
The dataset is released under the terms of CC-BY-SA 4.0. By using this model, you are also bound to the respective Terms of Use and License of the dataset. For commercial use in small businesses and startups, please contact us (business@prosa.ai) for permission to use the datasets by informing company profile and propose of usage.
Acknowledgement
This research work is funded and supported by The Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH and FAIR Forward - Artificial Intelligence for all. We thank Direktorat Jenderal Pendidikan Tinggi, Riset, dan Teknologi Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi (Ditjen DIKTI) for providing the computing resources for this project.
Contact Us
If you have any question please contact our support team at business@prosa.ai.