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metadata
license: mit
base_model: cahya/bert-base-indonesian-522M
tags:
  - generated_from_keras_callback
model-index:
  - name: racheilla/bert-base-indonesian-522M-finetuned-pemilu
    results: []

racheilla/bert-base-indonesian-522M-finetuned-pemilu

This model is a fine-tuned version of cahya/bert-base-indonesian-522M on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 3.2777
  • Validation Loss: 3.3841
  • Epoch: 10

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': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -950, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: mixed_float16

Training results

Train Loss Validation Loss Epoch
3.2847 3.4266 0
3.3000 3.4116 1
3.2702 3.3975 2
3.2675 3.4689 3
3.2982 3.3540 4
3.3109 3.4127 5
3.2698 3.4126 6
3.2852 3.4165 7
3.2977 3.3816 8
3.2749 3.3923 9
3.2777 3.3841 10

Framework versions

  • Transformers 4.35.2
  • TensorFlow 2.15.0
  • Datasets 2.15.0
  • Tokenizers 0.15.0