metadata
license: apache-2.0
base_model: Rifky/Indobert-QA
tags:
- generated_from_keras_callback
model-index:
- name: kvnidn/indobert-finetuned-qa-articles
results: []
kvnidn/indobert-finetuned-qa-articles
This model is a fine-tuned version of Rifky/Indobert-QA on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.5300
- Validation Loss: 3.4810
- Epoch: 11
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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 16, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 3.4356 | 3.6620 | 0 |
| 2.6941 | 3.4810 | 1 |
| 2.3186 | 3.4810 | 2 |
| 2.4334 | 3.4810 | 3 |
| 2.4485 | 3.4810 | 4 |
| 2.4230 | 3.4810 | 5 |
| 2.3802 | 3.4810 | 6 |
| 2.4370 | 3.4810 | 7 |
| 2.4102 | 3.4810 | 8 |
| 2.3621 | 3.4810 | 9 |
| 2.4539 | 3.4810 | 10 |
| 2.5300 | 3.4810 | 11 |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2