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StanceDetectionArabertv02-best-fold
aomar85/StanceDetectionArabertv02-best-fold
StanceDetectionArabertv02-best-fold 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 20, 2026
- Updated
- Jan 20, 2026
- SHA
- b0c4aa1a
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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. -->
StanceDetectionArabertv02-best-fold
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: 0.4201
- Accuracy: 0.8452
- Macro F1: 0.8451
- Weighted F1: 0.8453
- F1 Pro: 0.8421
- F1 Against: 0.8522
- F1 Neutral: 0.8411
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.8777 | 1.1628 | 50 | 0.5463 | 0.8095 | 0.8101 | 0.8102 | 0.8468 | 0.7874 | 0.7959 |
| 0.4716 | 2.3256 | 100 | 0.4746 | 0.7976 | 0.7983 | 0.7985 | 0.8468 | 0.768 | 0.78 |
| 0.2705 | 3.4884 | 150 | 0.4201 | 0.8452 | 0.8451 | 0.8453 | 0.8421 | 0.8522 | 0.8411 |
| 0.2119 | 4.6512 | 200 | 0.5072 | 0.8036 | 0.8024 | 0.8032 | 0.8348 | 0.8 | 0.7723 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jan 20, 2026
- Updated
- Jan 20, 2026