metadata
license: mit
base_model: indolem/indobert-base-uncased
model-index:
- name: indobert-finetuned-indosquad
results: []
datasets:
- Wikidepia/IndoSQuAD
language:
- id
metrics:
- squad_v2
library_name: transformers
pipeline_tag: question-answering
indobert-finetuned-indosquad
Model description
This model is a fine-tuned version of indolem/indobert-base-uncased on IndoSQuAD 2.0 dataset.
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': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 10798, '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
Evaluation results
- f1-score: 71.54905859166257
Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.0
- Tokenizers 0.15.0