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indobert-base-p1-multilabel-indonesian-hate-speech-modified-v2
PaceKW/indobert-base-p1-multilabel-indonesian-hate-speech-modified-v2
indobert-base-p1-multilabel-indonesian-hate-speech-modified-v2 is a machine learning model from PaceKW. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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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Updated Jun 21, 2025
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At a glance
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- Jun 21, 2025
- Updated
- Jun 21, 2025
- SHA
- aefa276d
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. -->
indobert-base-p1-multilabel-indonesian-hate-speech-modified-v2
This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2150
- F1: 0.8183
- Roc Auc: 0.8862
- Accuracy: 0.7509
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.2373 | 1.0 | 1317 | 0.1931 | 0.7705 | 0.8428 | 0.6720 |
| 0.1611 | 2.0 | 2634 | 0.1798 | 0.7954 | 0.8744 | 0.6849 |
| 0.1079 | 3.0 | 3951 | 0.1947 | 0.8131 | 0.8850 | 0.7350 |
| 0.0661 | 4.0 | 5268 | 0.2066 | 0.8155 | 0.8789 | 0.7464 |
| 0.0435 | 5.0 | 6585 | 0.2150 | 0.8183 | 0.8862 | 0.7509 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- transformers
- License
- mit
- Created
- Jun 21, 2025
- Updated
- Jun 21, 2025