---
library_name: transformers
license: mit
base_model: dbmdz/bert-base-turkish-cased
tags:
- generated_from_trainer
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 [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1398

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5417        | 0.4   | 10   | 1.2782          |
| 1.2171        | 0.8   | 20   | 0.9827          |
| 0.7965        | 1.2   | 30   | 0.6443          |
| 0.5738        | 1.6   | 40   | 0.4631          |
| 0.4821        | 2.0   | 50   | 0.3206          |
| 0.2171        | 2.4   | 60   | 0.2231          |
| 0.2034        | 2.8   | 70   | 0.1725          |
| 0.1357        | 3.2   | 80   | 0.1658          |
| 0.0586        | 3.6   | 90   | 0.1403          |
| 0.0684        | 4.0   | 100  | 0.1158          |
| 0.0356        | 4.4   | 110  | 0.1498          |
| 0.0361        | 4.8   | 120  | 0.1576          |
| 0.0112        | 5.2   | 130  | 0.1059          |
| 0.015         | 5.6   | 140  | 0.1060          |
| 0.0131        | 6.0   | 150  | 0.0932          |
| 0.006         | 6.4   | 160  | 0.0976          |
| 0.0053        | 6.8   | 170  | 0.1208          |
| 0.0051        | 7.2   | 180  | 0.1345          |
| 0.004         | 7.6   | 190  | 0.1419          |
| 0.0035        | 8.0   | 200  | 0.1383          |
| 0.0034        | 8.4   | 210  | 0.1333          |
| 0.003         | 8.8   | 220  | 0.1370          |
| 0.0027        | 9.2   | 230  | 0.1400          |
| 0.0026        | 9.6   | 240  | 0.1403          |
| 0.0026        | 10.0  | 250  | 0.1411          |
| 0.0025        | 10.4  | 260  | 0.1395          |
| 0.0022        | 10.8  | 270  | 0.1330          |
| 0.0021        | 11.2  | 280  | 0.1325          |
| 0.002         | 11.6  | 290  | 0.1327          |
| 0.0021        | 12.0  | 300  | 0.1344          |
| 0.0018        | 12.4  | 310  | 0.1357          |
| 0.0019        | 12.8  | 320  | 0.1374          |
| 0.0019        | 13.2  | 330  | 0.1382          |
| 0.0017        | 13.6  | 340  | 0.1392          |
| 0.0029        | 14.0  | 350  | 0.1318          |
| 0.0016        | 14.4  | 360  | 0.1281          |
| 0.0016        | 14.8  | 370  | 0.1272          |
| 0.0014        | 15.2  | 380  | 0.1281          |
| 0.0015        | 15.6  | 390  | 0.1296          |
| 0.0014        | 16.0  | 400  | 0.1312          |
| 0.0014        | 16.4  | 410  | 0.1325          |
| 0.0013        | 16.8  | 420  | 0.1320          |
| 0.0013        | 17.2  | 430  | 0.1326          |
| 0.0013        | 17.6  | 440  | 0.1339          |
| 0.0013        | 18.0  | 450  | 0.1353          |
| 0.0013        | 18.4  | 460  | 0.1374          |
| 0.0012        | 18.8  | 470  | 0.1379          |
| 0.0012        | 19.2  | 480  | 0.1378          |
| 0.0012        | 19.6  | 490  | 0.1382          |
| 0.0013        | 20.0  | 500  | 0.1398          |
| 0.0011        | 20.4  | 510  | 0.1410          |
| 0.0011        | 20.8  | 520  | 0.1409          |
| 0.0012        | 21.2  | 530  | 0.1401          |
| 0.0011        | 21.6  | 540  | 0.1398          |
| 0.001         | 22.0  | 550  | 0.1393          |
| 0.0011        | 22.4  | 560  | 0.1382          |
| 0.0011        | 22.8  | 570  | 0.1380          |
| 0.0011        | 23.2  | 580  | 0.1377          |
| 0.001         | 23.6  | 590  | 0.1380          |
| 0.0011        | 24.0  | 600  | 0.1385          |
| 0.001         | 24.4  | 610  | 0.1386          |
| 0.001         | 24.8  | 620  | 0.1386          |
| 0.0009        | 25.2  | 630  | 0.1387          |
| 0.001         | 25.6  | 640  | 0.1393          |
| 0.001         | 26.0  | 650  | 0.1397          |
| 0.001         | 26.4  | 660  | 0.1398          |
| 0.001         | 26.8  | 670  | 0.1399          |
| 0.0009        | 27.2  | 680  | 0.1401          |
| 0.001         | 27.6  | 690  | 0.1401          |
| 0.001         | 28.0  | 700  | 0.1402          |
| 0.001         | 28.4  | 710  | 0.1403          |
| 0.0009        | 28.8  | 720  | 0.1403          |
| 0.001         | 29.2  | 730  | 0.1404          |
| 0.0009        | 29.6  | 740  | 0.1404          |
| 0.001         | 30.0  | 750  | 0.1404          |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0+cu124
- Datasets 2.19.1
- Tokenizers 0.20.0