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results_indobert-base-p2_preprocessing_aug_tuning
Alfanatasya/results_indobert-base-p2_preprocessing_aug_tuning
results_indobert-base-p2_preprocessing_aug_tuning is a text classification model from Alfanatasya. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Aug 8, 2025
- Updated
- Aug 8, 2025
- SHA
- 465182a3
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
results_indobert-base-p2_preprocessing_aug_tuning
This model is a fine-tuned version of indobenchmark/indobert-base-p2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8122
- Accuracy: 0.7267
- Precision: 0.7370
- Recall: 0.7304
- F1: 0.7310
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:
- learning_rate: 8.142490647628966e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.1045 | 1.0 | 219 | 0.8521 | 0.7039 | 0.7122 | 0.7143 | 0.7090 |
| 0.8 | 2.0 | 438 | 0.8836 | 0.6902 | 0.7060 | 0.6914 | 0.6933 |
| 0.5912 | 3.0 | 657 | 0.8122 | 0.7267 | 0.7370 | 0.7304 | 0.7310 |
| 0.4065 | 4.0 | 876 | 1.0771 | 0.6879 | 0.7203 | 0.6934 | 0.7021 |
| 0.3133 | 5.0 | 1095 | 1.3608 | 0.6765 | 0.6949 | 0.6805 | 0.6780 |
| 0.258 | 6.0 | 1314 | 1.4317 | 0.6651 | 0.6939 | 0.6802 | 0.6760 |
| 0.1839 | 7.0 | 1533 | 1.5627 | 0.6651 | 0.6734 | 0.6800 | 0.6664 |
| 0.1641 | 8.0 | 1752 | 1.5399 | 0.6856 | 0.6829 | 0.7021 | 0.6892 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 4.0.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Aug 8, 2025
- Updated
- Aug 8, 2025