| --- |
| library_name: transformers |
| license: mit |
| base_model: dbmdz/bert-base-turkish-cased |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: turkish-case-classifier |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # turkish-case-classifier |
|
|
| This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.1595 |
|
|
| ## Model description |
|
|
| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
|
|
| ## Training and evaluation data |
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| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| 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: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | No log | 1.0 | 3 | 2.2736 | |
| | No log | 2.0 | 6 | 2.2883 | |
| | No log | 3.0 | 9 | 2.2578 | |
| | No log | 4.0 | 12 | 2.2235 | |
| | No log | 5.0 | 15 | 2.2047 | |
| | No log | 6.0 | 18 | 2.1906 | |
| | No log | 7.0 | 21 | 2.1771 | |
| | No log | 8.0 | 24 | 2.1677 | |
| | No log | 9.0 | 27 | 2.1624 | |
| | No log | 10.0 | 30 | 2.1595 | |
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| ### Framework versions |
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|
| - Transformers 4.48.0 |
| - Pytorch 2.7.0 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.1 |
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|
