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--- |
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library_name: transformers |
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license: mit |
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base_model: dbmdz/bert-base-turkish-cased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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- recall |
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model-index: |
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- name: results |
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results: [] |
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datasets: |
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- turkish-nlp-suite/turkish-wikiNER |
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language: |
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- tr |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# berturk-ner |
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This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on |
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[turkish-nlp-suite/turkish-wikiNER](https://huggingface.co/datasets/turkish-nlp-suite/turkish-wikiNER) dataset. |
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It achieves the following results: |
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Validation Set |
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- Loss: 0.3693 |
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- Accuracy: 0.9149 |
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- F1: 0.9146 |
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- Precision: 0.9167 |
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- Recall: 0.9149 |
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Test Set |
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- Accuracy: 0.9241 |
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- F1: 0.8316 |
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- Precision: 0.8341 |
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- Recall: 0.8291 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Preicision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:----------:|:------:| |
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| 0.5606 | 1.0 | 141 | 0.3018 | 0.9109 | 0.9107 | 0.9127 | 0.9109 | |
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| 0.2489 | 2.0 | 282 | 0.3185 | 0.9108 | 0.9089 | 0.9107 | 0.9108 | |
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| 0.1558 | 3.0 | 423 | 0.3378 | 0.9051 | 0.9028 | 0.9056 | 0.9051 | |
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| 0.0966 | 4.0 | 564 | 0.3472 | 0.9151 | 0.9149 | 0.9170 | 0.9151 | |
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| 0.0678 | 5.0 | 705 | 0.3693 | 0.9149 | 0.9146 | 0.9167 | 0.9149 | |
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### Framework versions |
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- Transformers 4.52.3 |
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- Pytorch 2.7.0+cu128 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
