indobert-base-uncased-multilabel-indonesian-hate-speech-modified-v2 – AI Model by PaceKW | AlphaNeural AI

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PaceKW/
indobert-base-uncased-multilabel-indonesian-hate-speech-modified-v2

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indobert-base-uncased-multilabel-indonesian-hate-speech-modified-v2

This model is a fine-tuned version of indolem/indobert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2051
F1: 0.7925
Roc Auc: 0.8745
Accuracy: 0.7039

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
0.3057	1.0	1317	0.2248	0.7142	0.8121	0.5968
0.2102	2.0	2634	0.2156	0.7530	0.8584	0.5991
0.1797	3.0	3951	0.1998	0.7737	0.8580	0.6606
0.1472	4.0	5268	0.1995	0.7916	0.8665	0.7062
0.1269	5.0	6585	0.2051	0.7925	0.8745	0.7039

Framework versions

Transformers 4.51.3
Pytorch 2.7.0+cu128
Datasets 3.6.0
Tokenizers 0.21.1