---
license: mit
base_model: dbmdz/bert-base-turkish-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: BERTurk_hate_span_all
  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. -->

# BERTurk_hate_span_all

This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1292
- Precision: 0.6325
- Recall: 0.5175
- F1: 0.5692
- Accuracy: 0.9700

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.1724        | 1.0   | 230  | 0.1273          | 0.2477    | 0.4907 | 0.3292 | 0.9597   |
| 0.1228        | 2.0   | 460  | 0.1410          | 0.3866    | 0.4259 | 0.4053 | 0.9684   |
| 0.0564        | 3.0   | 690  | 0.1094          | 0.3955    | 0.4907 | 0.4380 | 0.9719   |
| 0.0414        | 4.0   | 920  | 0.1226          | 0.5192    | 0.5    | 0.5094 | 0.9739   |
| 0.0165        | 5.0   | 1150 | 0.1548          | 0.4359    | 0.4722 | 0.4533 | 0.9713   |
| 0.0069        | 6.0   | 1380 | 0.1959          | 0.5604    | 0.4722 | 0.5126 | 0.9749   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1