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StanceNakba-EXP3
aomar85/StanceNakba-EXP3
StanceNakba-EXP3 is a text classification model from aomar85. 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
- Jan 24, 2026
- Updated
- Jan 24, 2026
- SHA
- ec8304f4
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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. -->
Twitter_augmented-fold4
This model is a fine-tuned version of aubmindlab/bert-base-arabertv02-twitter on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4068
- Accuracy: 0.8932
- Macro F1: 0.8926
- Weighted F1: 0.8931
- F1 Pro: 0.9244
- F1 Against: 0.8828
- F1 Neutral: 0.8705
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | Weighted F1 | F1 Pro | F1 Against | F1 Neutral |
|---|---|---|---|---|---|---|---|---|---|
| 0.9109 | 0.5882 | 50 | 0.6188 | 0.7596 | 0.7586 | 0.7605 | 0.8387 | 0.7433 | 0.6939 |
| 0.5757 | 1.1765 | 100 | 0.5021 | 0.8042 | 0.8000 | 0.8020 | 0.8584 | 0.8029 | 0.7386 |
| 0.4534 | 1.7647 | 150 | 0.4326 | 0.8220 | 0.8192 | 0.8205 | 0.8621 | 0.8171 | 0.7784 |
| 0.314 | 2.3529 | 200 | 0.3683 | 0.8516 | 0.8512 | 0.8519 | 0.8789 | 0.8455 | 0.8293 |
| 0.2206 | 2.9412 | 250 | 0.3733 | 0.8754 | 0.8751 | 0.8758 | 0.9083 | 0.8672 | 0.85 |
| 0.1604 | 3.5294 | 300 | 0.3939 | 0.8754 | 0.8743 | 0.8749 | 0.8889 | 0.8755 | 0.8586 |
| 0.1398 | 4.1176 | 350 | 0.4068 | 0.8932 | 0.8926 | 0.8931 | 0.9244 | 0.8828 | 0.8705 |
| 0.0938 | 4.7059 | 400 | 0.4074 | 0.8902 | 0.8896 | 0.8903 | 0.9279 | 0.8794 | 0.8615 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jan 24, 2026
- Updated
- Jan 24, 2026