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---
license: mit
base_model: dbmdz/distilbert-base-turkish-cased
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: distilbert_turk
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. -->
# distilbert_turk
This model is a fine-tuned version of [dbmdz/distilbert-base-turkish-cased](https://huggingface.co/dbmdz/distilbert-base-turkish-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1927
- F1: 0.8338
- Roc Auc: 0.9092
- Accuracy: 0.8047
## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
| 0.2899 | 1.0 | 1151 | 0.2053 | 0.6418 | 0.7738 | 0.6719 |
| 0.1846 | 2.0 | 2302 | 0.1777 | 0.7480 | 0.8434 | 0.7461 |
| 0.1432 | 3.0 | 3453 | 0.1633 | 0.7879 | 0.8866 | 0.7656 |
| 0.1241 | 4.0 | 4604 | 0.1508 | 0.8256 | 0.9037 | 0.7891 |
| 0.0961 | 5.0 | 5755 | 0.1621 | 0.8203 | 0.9048 | 0.7969 |
| 0.065 | 6.0 | 6906 | 0.1733 | 0.8108 | 0.9092 | 0.7969 |
| 0.0548 | 7.0 | 8057 | 0.1848 | 0.8238 | 0.8993 | 0.7930 |
| 0.0496 | 8.0 | 9208 | 0.1875 | 0.8130 | 0.9055 | 0.7969 |
| 0.0413 | 9.0 | 10359 | 0.1905 | 0.8359 | 0.9096 | 0.8086 |
| 0.038 | 10.0 | 11510 | 0.1927 | 0.8338 | 0.9092 | 0.8047 |
### Framework versions
- Transformers 4.37.0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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