--- library_name: transformers license: apache-2.0 base_model: bert-base-multilingual-cased tags: - generated_from_trainer datasets: - turkish_ner metrics: - f1 - precision - recall - accuracy model-index: - name: turkish-ner-mBERT-03 results: - task: name: Token Classification type: token-classification dataset: name: turkish_ner type: turkish_ner config: default split: train args: default metrics: - name: F1 type: f1 value: 0.6292585170340682 - name: Precision type: precision value: 0.6108949416342413 - name: Recall type: recall value: 0.6487603305785123 - name: Accuracy type: accuracy value: 0.9264194669756662 --- # turkish-ner-mBERT-03 This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the turkish_ner dataset. It achieves the following results on the evaluation set: - Loss: 0.2311 - F1: 0.6293 - Precision: 0.6109 - Recall: 0.6488 - Accuracy: 0.9264 ## 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: 5e-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 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:--------:| | No log | 1.0 | 7 | 0.5637 | 0.0315 | 0.3333 | 0.0165 | 0.8262 | | No log | 2.0 | 14 | 0.3862 | 0.4383 | 0.4518 | 0.4256 | 0.8766 | | No log | 3.0 | 21 | 0.3054 | 0.5720 | 0.5404 | 0.6074 | 0.9085 | | No log | 4.0 | 28 | 0.2460 | 0.6173 | 0.6320 | 0.6033 | 0.9200 | | No log | 5.0 | 35 | 0.2311 | 0.6293 | 0.6109 | 0.6488 | 0.9264 | ### Framework versions - Transformers 4.47.1 - Pytorch 2.5.1+cu121 - Datasets 3.3.2 - Tokenizers 0.21.0