transformers tf bert question-answering id dataset:Wikidepia/IndoSQuAD base_model:indolem/indobert-base-uncased license:mit endpoints_compatible region:us
---
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
---

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# indobert-finetuned-indosquad

## Model description

This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on [IndoSQuAD 2.0](https://github.com/Wikidepia/indonesian_datasets/tree/master/question-answering/squad) 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