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

Name: distilbert-base-uncased-multilabel-indonesian-hate-speech-modified-v2
Availability: InStock

transformers

safetensors

generated_from_trainer

distilbert/distilbert-base-uncased

finetune

apache-2.0

endpoints_compatible

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

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

Loss: 0.2232
F1: 0.7681
Roc Auc: 0.8543
Accuracy: 0.6803

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
0.3058	1.0	1317	0.2518	0.6741	0.7832	0.5854
0.22	2.0	2634	0.2329	0.7221	0.8308	0.5740
0.1852	3.0	3951	0.2168	0.7528	0.8433	0.6355
0.1506	4.0	5268	0.2182	0.7586	0.8400	0.6727
0.1272	5.0	6585	0.2232	0.7681	0.8543	0.6803

Framework versions

Transformers 4.51.3
Pytorch 2.7.0+cu128
Datasets 3.6.0
Tokenizers 0.21.1

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

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

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

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