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improved_stance_detection_v2-fold1
aomar85/improved_stance_detection_v2-fold1
improved_stance_detection_v2-fold1 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
- Feb 15, 2026
- Updated
- Feb 15, 2026
- SHA
- 21a4eba1
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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. -->
improved_stance_detection_v2-fold1
This model is a fine-tuned version of aubmindlab/bert-large-arabertv02-twitter on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4010
- Accuracy: 0.5902
- Macro F1: 0.5938
- Weighted F1: 0.5921
- F1 Pro: 0.5891
- F1 Against: 0.5590
- F1 Neutral: 0.6333
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: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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: 15
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | Weighted F1 | F1 Pro | F1 Against | F1 Neutral |
|---|---|---|---|---|---|---|---|---|---|
| 2.0675 | 1.9320 | 50 | 0.4024 | 0.5854 | 0.5880 | 0.5866 | 0.6056 | 0.5430 | 0.6154 |
| 2.0157 | 3.8544 | 100 | 0.4171 | 0.5073 | 0.4646 | 0.4585 | 0.2558 | 0.4868 | 0.6512 |
| 2.1266 | 5.7767 | 150 | 0.5205 | 0.3073 | 0.1567 | 0.1445 | 0.0 | 0.0 | 0.4701 |
| 2.1044 | 7.6990 | 200 | 0.4990 | 0.3512 | 0.1733 | 0.1826 | 0.0 | 0.5199 | 0.0 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Feb 15, 2026
- Updated
- Feb 15, 2026