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zypchn
/
berturk-ner

Token Classification
Transformers
TensorBoard
Safetensors
Turkish
bert
Generated from Trainer
Model card Files
xet
Metrics Community
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zypchn/berturk-ner-2

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  2. config.json +106 -0
  3. model.safetensors +3 -0
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README.md ADDED
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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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+ ---
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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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+
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+ # results
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+
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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 an unknown dataset.
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+ It achieves the following results on the evaluation 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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+ - Preicision: 0.9167
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+ - Recall: 0.9149
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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
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