bert-classifier

EslamWalid/bert-classifier

bert-classifier is a text classification model from EslamWalid. Use it when you need a label for a piece of text. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: Dec 12, 2025
Updated: Dec 13, 2025
SHA: 89e6c963

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Base models

aubmindlab/bert-base-arabertv02

Model card

From the Hugging Face model README

bert-classifier

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6086
Accuracy: 0.607
Auc: 0.723

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: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Auc
0.4814	1.0	16	0.6102	0.623	0.72
0.4784	2.0	32	0.6125	0.623	0.716
0.4592	3.0	48	0.6150	0.623	0.712
0.4404	4.0	64	0.6129	0.59	0.719
0.4552	5.0	80	0.6112	0.59	0.722
0.4563	6.0	96	0.6098	0.607	0.72
0.4185	7.0	112	0.6089	0.607	0.72
0.4734	8.0	128	0.6084	0.623	0.719
0.4567	9.0	144	0.6082	0.623	0.719
0.4573	10.0	160	0.6077	0.623	0.722
0.4323	11.0	176	0.6081	0.623	0.72
0.4403	12.0	192	0.6089	0.623	0.719
0.4533	13.0	208	0.6078	0.623	0.719
0.4586	14.0	224	0.6076	0.623	0.724
0.4689	15.0	240	0.6075	0.607	0.723
0.4374	16.0	256	0.6083	0.607	0.719
0.4456	17.0	272	0.6080	0.607	0.724
0.4628	18.0	288	0.6087	0.607	0.718
0.4446	19.0	304	0.6093	0.59	0.719
0.4565	20.0	320	0.6086	0.607	0.722
0.4456	21.0	336	0.6092	0.623	0.723
0.4429	22.0	352	0.6093	0.623	0.723
0.4288	23.0	368	0.6090	0.607	0.723
0.4687	24.0	384	0.6092	0.59	0.722
0.4435	25.0	400	0.6090	0.59	0.723
0.4317	26.0	416	0.6088	0.607	0.723
0.4357	27.0	432	0.6088	0.607	0.723
0.4552	28.0	448	0.6087	0.607	0.723
0.454	29.0	464	0.6086	0.607	0.723
0.4279	30.0	480	0.6086	0.607	0.723

Framework versions

Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1

Task: Text Classification
Library: transformers
Type: bert
Created: Dec 12, 2025
Updated: Dec 13, 2025