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arabert-eou-saudi
mahmoudsaalama/arabert-eou-saudi
arabert-eou-saudi is a text classification model from mahmoudsaalama. 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 9, 2025
- Updated
- Dec 9, 2025
- SHA
- d651c127
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
arabert-eou-saudi
This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2867
- F1 Eou: 0.9288
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Eou |
|---|---|---|---|---|
| No log | 1.0 | 295 | 0.2871 | 0.8851 |
| 0.2698 | 2.0 | 590 | 0.4402 | 0.8779 |
| 0.2698 | 3.0 | 885 | 0.3778 | 0.9078 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cpu
- Datasets 4.4.1
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Dec 9, 2025
- Updated
- Dec 9, 2025