| --- |
| 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 |
