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bert-base-indonesian-1.5G-multilabel-indonesian-hate-speech-new-label – AI Model by PaceKW | AlphaNeural AI
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PaceKW
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bert-base-indonesian-1.5G-multilabel-indonesian-hate-speech-new-label
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transformers
safetensors
bert
text-classification
generated_from_trainer
cahya/bert-base-indonesian-1.5G
finetune
mit
autotrain_compatible
endpoints_compatible
us
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bert-base-indonesian-1.5G-multilabel-indonesian-hate-speech-new-label
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: 0.6925
F1: 0.6910
Roc Auc: 0.5017
Accuracy: 0.0473
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: 10
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Roc Auc
Accuracy
No log
1.0
151
0.6925
0.6910
0.5017
0.0473
No log
2.0
302
0.6968
0.6652
0.5005
0.0307
No log
3.0
453
0.7133
0.6117
0.5026
0.0150
Framework versions
Transformers 4.51.3
Pytorch 2.7.0+cu128
Datasets 3.6.0
Tokenizers 0.21.1
