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BERT_SA_ARABIC_ENGLISH_Emojees
MinaNasser/BERT_SA_ARABIC_ENGLISH_Emojees
BERT_SA_ARABIC_ENGLISH_Emojees 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. --
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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
- 57c37a33
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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. -->
BERT_SA_ARABIC_ENGLISH_Emojees
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: 0.4215
- Accuracy: 0.8282
- F1: 0.8281
- Precision: 0.8285
- Recall: 0.8282
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 |
|---|---|---|---|---|---|---|---|
| 0.4019 | 1.0 | 2789 | 0.3968 | 0.8104 | 0.8097 | 0.8151 | 0.8104 |
| 0.3484 | 2.0 | 5578 | 0.3748 | 0.8247 | 0.8247 | 0.8249 | 0.8247 |
| 0.2855 | 3.0 | 8367 | 0.3948 | 0.8287 | 0.8287 | 0.8287 | 0.8287 |
| 0.2413 | 4.0 | 11156 | 0.4215 | 0.8282 | 0.8281 | 0.8285 | 0.8282 |
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