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bert-base-indonesian-1.5G-multilabel-indonesian-hate-speech-modified-v2
PaceKW/bert-base-indonesian-1.5G-multilabel-indonesian-hate-speech-modified-v2
bert-base-indonesian-1.5G-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
- d99c989b
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. -->
bert-base-indonesian-1.5G-multilabel-indonesian-hate-speech-modified-v2
This model is a fine-tuned version of cahya/bert-base-indonesian-1.5G on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2271
- F1: 0.8042
- Roc Auc: 0.8799
- Accuracy: 0.7229
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 |
|---|---|---|---|---|---|---|
| 0.257 | 1.0 | 1317 | 0.2008 | 0.7645 | 0.8432 | 0.6507 |
| 0.1793 | 2.0 | 2634 | 0.1925 | 0.7868 | 0.8732 | 0.6621 |
| 0.1305 | 3.0 | 3951 | 0.2005 | 0.7959 | 0.8773 | 0.7039 |
| 0.0909 | 4.0 | 5268 | 0.2191 | 0.7961 | 0.8666 | 0.7206 |
| 0.0655 | 5.0 | 6585 | 0.2271 | 0.8042 | 0.8799 | 0.7229 |
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