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DijitalSessizlik-BERT-Modeli
Scaran/DijitalSessizlik-BERT-Modeli
DijitalSessizlik-BERT-Modeli is a text classification model from Scaran. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Oct 30, 2025
- Updated
- Oct 30, 2025
- SHA
- 2c6ded83
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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. -->
results
This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4758
- Accuracy: 0.812
- F1 Macro: 0.6908
- Precision Macro: 0.6945
- Recall Macro: 0.6920
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: 5e-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
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro |
|---|---|---|---|---|---|---|---|
| 0.67 | 1.0 | 250 | 0.5301 | 0.782 | 0.6312 | 0.6490 | 0.6187 |
| 0.4378 | 2.0 | 500 | 0.5178 | 0.783 | 0.5908 | 0.6849 | 0.6581 |
| 0.3296 | 3.0 | 750 | 0.4758 | 0.812 | 0.6908 | 0.6945 | 0.6920 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Oct 30, 2025
- Updated
- Oct 30, 2025