bert
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: 0.0719
- Accuracy: 0.9828
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH 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 |
|---|---|---|---|---|
| 2.2352 | 1.0 | 66 | 1.9705 | 0.4655 |
| 0.9538 | 2.0 | 132 | 0.6694 | 0.9397 |
| 0.2898 | 3.0 | 198 | 0.1738 | 0.9828 |
| 0.0737 | 4.0 | 264 | 0.0839 | 0.9828 |
| 0.0492 | 5.0 | 330 | 0.0719 | 0.9828 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.2
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Model tree for hakkiilter/turkish-bank-bert
Base model
dbmdz/bert-base-turkish-cased