---
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: 0.3122
- Hate Precision: 1.0
- Hate Recall: 1.0
- Hate F1: 1.0
- Sexual Precision: 0.0
- Sexual Recall: 0.0
- Sexual F1: 0.0
- Racism Precision: 0.0
- Racism Recall: 0.0
- Racism F1: 0.0
- Threat Precision: 0.0
- Threat Recall: 0.0
- Threat F1: 0.0
- Neutral Precision: 0.0
- Neutral Recall: 0.0
- Neutral F1: 0.0
- Macro Precision: 0.2
- Macro Recall: 0.2
- Macro F1: 0.2

## 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 | Hate Precision | Hate Recall | Hate F1 | Sexual Precision | Sexual Recall | Sexual F1 | Racism Precision | Racism Recall | Racism F1 | Threat Precision | Threat Recall | Threat F1 | Neutral Precision | Neutral Recall | Neutral F1 | Macro Precision | Macro Recall | Macro F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:-----------:|:-------:|:----------------:|:-------------:|:---------:|:----------------:|:-------------:|:---------:|:----------------:|:-------------:|:---------:|:-----------------:|:--------------:|:----------:|:---------------:|:------------:|:--------:|
| 0.5808        | 5.0   | 10   | 0.4806          | 0.8333         | 1.0         | 0.9091  | 0.0              | 0.0           | 0.0       | 0.0              | 0.0           | 0.0       | 0.0              | 0.0           | 0.0       | 0.0               | 0.0            | 0.0        | 0.1667          | 0.2          | 0.1818   |
| 0.4203        | 10.0  | 20   | 0.3815          | 1.0            | 1.0         | 1.0     | 0.0              | 0.0           | 0.0       | 0.0              | 0.0           | 0.0       | 0.0              | 0.0           | 0.0       | 0.0               | 0.0            | 0.0        | 0.2             | 0.2          | 0.2      |
| 0.3519        | 15.0  | 30   | 0.3618          | 1.0            | 1.0         | 1.0     | 0.0              | 0.0           | 0.0       | 0.0              | 0.0           | 0.0       | 0.0              | 0.0           | 0.0       | 0.0               | 0.0            | 0.0        | 0.2             | 0.2          | 0.2      |
| 0.2748        | 20.0  | 40   | 0.3329          | 1.0            | 1.0         | 1.0     | 0.0              | 0.0           | 0.0       | 0.0              | 0.0           | 0.0       | 0.0              | 0.0           | 0.0       | 0.0               | 0.0            | 0.0        | 0.2             | 0.2          | 0.2      |
| 0.2373        | 25.0  | 50   | 0.3168          | 1.0            | 1.0         | 1.0     | 0.0              | 0.0           | 0.0       | 0.0              | 0.0           | 0.0       | 0.0              | 0.0           | 0.0       | 0.0               | 0.0            | 0.0        | 0.2             | 0.2          | 0.2      |
| 0.2129        | 30.0  | 60   | 0.3122          | 1.0            | 1.0         | 1.0     | 0.0              | 0.0           | 0.0       | 0.0              | 0.0           | 0.0       | 0.0              | 0.0           | 0.0       | 0.0               | 0.0            | 0.0        | 0.2             | 0.2          | 0.2      |


### Framework versions

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