Downloads · 30 days
9
10% of all-time downloads
BERT_SA_ARABIC_ENGLISH
MinaNasser/BERT_SA_ARABIC_ENGLISH
BERT_SA_ARABIC_ENGLISH is a text classification model from MinaNasser. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
90
Public
Parameters
135M
3.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors541 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- May 27, 2026
- Updated
- May 27, 2026
- SHA
- 85e281a3
Try a prompt
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. -->
BERT_SA_ARABIC_ENGLISH
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3412
- Accuracy: 0.8890
- F1: 0.8891
- Precision: 0.8891
- Recall: 0.8890
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: 64
- eval_batch_size: 128
- 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: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.05
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.3054 | 1.0 | 1711 | 0.3062 | 0.8706 | 0.8709 | 0.8726 | 0.8706 |
| 0.2591 | 2.0 | 3422 | 0.2828 | 0.8810 | 0.8813 | 0.8825 | 0.8810 |
| 0.2048 | 3.0 | 5133 | 0.2915 | 0.8845 | 0.8848 | 0.8864 | 0.8845 |
| 0.1492 | 4.0 | 6844 | 0.3201 | 0.8905 | 0.8905 | 0.8905 | 0.8905 |
| 0.1501 | 5.0 | 8555 | 0.3412 | 0.8890 | 0.8891 | 0.8891 | 0.8890 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 27, 2026
- Updated
- May 27, 2026