---
license: mit
base_model: dbmdz/bert-base-turkish-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ayla_ozetler3006_bertuncased_2024
  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. -->

# ayla_ozetler3006_bertuncased_2024

This model is a fine-tuned version of [dbmdz/bert-base-turkish-uncased](https://huggingface.co/dbmdz/bert-base-turkish-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2438
- Accuracy: 0.9167

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.8163        | 1.0   | 10   | 1.7453          | 0.2      |
| 1.5027        | 2.0   | 20   | 1.1183          | 0.6741   |
| 0.8506        | 3.0   | 30   | 0.5805          | 0.8130   |
| 0.4512        | 4.0   | 40   | 0.4143          | 0.8296   |
| 0.2935        | 5.0   | 50   | 0.3245          | 0.8889   |
| 0.2011        | 6.0   | 60   | 0.2905          | 0.8889   |
| 0.1404        | 7.0   | 70   | 0.2802          | 0.9      |
| 0.0942        | 8.0   | 80   | 0.2509          | 0.9259   |
| 0.0653        | 9.0   | 90   | 0.2402          | 0.9204   |
| 0.0536        | 10.0  | 100  | 0.2438          | 0.9167   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.0