---
library_name: transformers
license: mit
base_model: akdeniz27/bert-base-turkish-cased-ner
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-turkish-cased-ner-finetuned-ner
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-turkish-cased-ner-finetuned-ner

This model is a fine-tuned version of [akdeniz27/bert-base-turkish-cased-ner](https://huggingface.co/akdeniz27/bert-base-turkish-cased-ner) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1768
- Precision: 0.9689
- Recall: 0.9688
- F1: 0.9688
- Accuracy: 0.9711

## 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: 1e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.1616        | 1.0   | 3334  | 0.1414          | 0.9622    | 0.9624 | 0.9623 | 0.9651   |
| 0.1143        | 2.0   | 6668  | 0.1483          | 0.9667    | 0.9672 | 0.9670 | 0.9694   |
| 0.0957        | 3.0   | 10002 | 0.1531          | 0.9680    | 0.9682 | 0.9681 | 0.9705   |
| 0.0488        | 4.0   | 13336 | 0.1720          | 0.9690    | 0.9688 | 0.9689 | 0.9713   |
| 0.03          | 5.0   | 16670 | 0.1768          | 0.9689    | 0.9688 | 0.9688 | 0.9711   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1