classification-hate-speech-DE-7-lp2 – AI Model by bob-bob-bob-3 | AlphaNeural AI

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classification-hate-speech-DE-7-lp2

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text-classification

generated_from_trainer

indobenchmark/indobert-large-p2

autotrain_compatible

endpoints_compatible

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classification-hate-speech-DE-7-lp2

This model is a fine-tuned version of indobenchmark/indobert-large-p2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.6437
F1 macro: 0.3699
Weighted: 0.5424
Balanced accuracy: 0.5126

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	F1 macro	Weighted	Balanced accuracy
0.0019	1.0	152	3.2735	0.3877	0.5591	0.5253
0.2688	2.0	304	3.5136	0.3514	0.5097	0.4996
0.0489	3.0	456	2.9516	0.3901	0.5839	0.5222
0.0002	4.0	608	3.6103	0.3636	0.5354	0.4996
0.0003	5.0	760	3.6417	0.3695	0.5374	0.5234
0.0001	6.0	912	3.6270	0.3699	0.5424	0.5126
0.0001	7.0	1064	3.6437	0.3699	0.5424	0.5126

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1