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---
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
## 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: 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 |
### Framework versions
- Transformers 4.48.0
- Pytorch 2.7.0
- Datasets 3.2.0
- Tokenizers 0.21.1
|