|
--- |
|
model-index: |
|
- name: Rifky/IndoBERT-Large-P2-QA |
|
results: [] |
|
language: |
|
- id |
|
- en |
|
tags: |
|
- IndoBERT |
|
- IndoBenchmark |
|
- generated_from_keras_callback |
|
license: apache-2.0 |
|
datasets: |
|
- Indo4B |
|
- Squad_2.0_Indonesian_Translated |
|
widget: |
|
- text: kapan pangeran diponegoro lahir? |
|
context: Pangeran Harya Dipanegara (atau biasa dikenal dengan nama Pangeran Diponegoro, |
|
lahir di Ngayogyakarta Hadiningrat, 11 November 1785 – meninggal di Makassar, |
|
Hindia Belanda, 8 Januari 1855 pada umur 69 tahun) adalah salah seorang pahlawan |
|
nasional Republik Indonesia, yang memimpin Perang Diponegoro atau Perang Jawa |
|
selama periode tahun 1825 hingga 1830 melawan pemerintah Hindia Belanda. Sejarah |
|
mencatat, Perang Diponegoro atau Perang Jawa dikenal sebagai perang yang menelan |
|
korban terbanyak dalam sejarah Indonesia, yakni 8.000 korban serdadu Hindia Belanda, |
|
7.000 pribumi, dan 200 ribu orang Jawa serta kerugian materi 25 juta Gulden. |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# Rifky/IndoBERT-Large-QA |
|
|
|
This model is a fine-tuned version of [indobenchmark/indobert-large-p2](https://huggingface.co/indobenchmark/indobert-large-p2) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 1.2578 |
|
- Validation Loss: 1.8281 |
|
- Epoch: 2 |
|
|
|
## Model description |
|
|
|
More information needed |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
More information needed |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 82070, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01} |
|
- training_precision: float32 |
|
|
|
### Training results |
|
|
|
| Train Loss | Validation Loss | Epoch | |
|
|:----------:|:---------------:|:-----:| |
|
| 2.0437 | 1.8847 | 0 | |
|
| 1.5321 | 1.8044 | 1 | |
|
| 1.2578 | 1.8281 | 2 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.27.4 |
|
- TensorFlow 2.12.0 |
|
- Datasets 2.11.0 |
|
- Tokenizers 0.13.3 |