---
library_name: transformers
license: mit
base_model: akdeniz27/bert-base-turkish-cased-ner
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [akdeniz27/bert-base-turkish-cased-ner](https://huggingface.co./akdeniz27/bert-base-turkish-cased-ner) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 8.5343
- Accuracy: 0.1071
- F1: 0.1212
- Classification Report:               precision    recall  f1-score   support

        DATE       0.07      0.67      0.13         3
    LOCATION       0.00      0.00      0.00         1
      PERSON       0.00      0.00      0.00         1

   micro avg       0.07      0.40      0.12         5
   macro avg       0.02      0.22      0.04         5
weighted avg       0.04      0.40      0.08         5


## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Classification Report                                                                                                                                                                                                                                                                                                                                                                        |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
| No log        | 1.0   | 1    | 10.3125         | 0.1071   | 0.1212 |               precision    recall  f1-score   support

        DATE       0.07      0.67      0.13         3
    LOCATION       0.00      0.00      0.00         1
      PERSON       0.00      0.00      0.00         1

   micro avg       0.07      0.40      0.12         5
   macro avg       0.02      0.22      0.04         5
weighted avg       0.04      0.40      0.08         5
 |
| No log        | 2.0   | 2    | 9.1622          | 0.1071   | 0.1212 |               precision    recall  f1-score   support

        DATE       0.07      0.67      0.13         3
    LOCATION       0.00      0.00      0.00         1
      PERSON       0.00      0.00      0.00         1

   micro avg       0.07      0.40      0.12         5
   macro avg       0.02      0.22      0.04         5
weighted avg       0.04      0.40      0.08         5
 |
| No log        | 3.0   | 3    | 8.5343          | 0.1071   | 0.1212 |               precision    recall  f1-score   support

        DATE       0.07      0.67      0.13         3
    LOCATION       0.00      0.00      0.00         1
      PERSON       0.00      0.00      0.00         1

   micro avg       0.07      0.40      0.12         5
   macro avg       0.02      0.22      0.04         5
weighted avg       0.04      0.40      0.08         5
 |


### Framework versions

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