bert-base-indonesian-1.5G-multilabel-indonesian-hate-speech-new

PaceKW/bert-base-indonesian-1.5G-multilabel-indonesian-hate-speech-new

bert-base-indonesian-1.5G-multilabel-indonesian-hate-speech-new is a text classification model from PaceKW. 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: May 22, 2025
Updated: May 22, 2025
SHA: 7b8fa685

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Base models

cahya/bert-base-indonesian-1.5G

Model card

From the Hugging Face model README

bert-base-indonesian-1.5G-multilabel-indonesian-hate-speech-new

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: 0.3641
F1: 0.7802
Roc Auc: 0.8639
Accuracy: 0.7156

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
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.3106	1.0	659	0.2504	0.6779	0.7832	0.5978
0.2235	2.0	1318	0.2113	0.7466	0.8392	0.6441
0.1722	3.0	1977	0.2283	0.7511	0.8493	0.6581
0.097	4.0	2636	0.2421	0.7626	0.8490	0.6874
0.0643	5.0	3295	0.2727	0.7584	0.8417	0.6938
0.0572	6.0	3954	0.2817	0.7662	0.8662	0.6737
0.0304	7.0	4613	0.3075	0.7606	0.8475	0.6879
0.021	8.0	5272	0.3195	0.7697	0.8626	0.6932
0.0157	9.0	5931	0.3347	0.7663	0.8477	0.7052
0.0095	10.0	6590	0.3353	0.7759	0.8598	0.7118
0.0086	11.0	7249	0.3467	0.7768	0.8590	0.7136
0.0063	12.0	7908	0.3503	0.7795	0.8644	0.7128
0.0046	13.0	8567	0.3577	0.7797	0.8613	0.7153
0.0037	14.0	9226	0.3622	0.7801	0.8674	0.7115
0.0046	15.0	9885	0.3641	0.7802	0.8639	0.7156

Framework versions

Transformers 4.51.3
Pytorch 2.7.0+cu128
Datasets 3.6.0
Tokenizers 0.21.1

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: May 22, 2025
Updated: May 22, 2025