---
language: tr
tags:
- turkish
- sentiment
- classification
- tensorflow
license: mit
---

# Turkish Sentiment Analysis Model

This model is a fine-tuned version of [VRLLab/TurkishBERTweet](https://huggingface.co/VRLLab/TurkishBERTweet) for sentiment analysis in Turkish.

## Model description

The model is based on BERT and fine-tuned on a Turkish sentiment analysis dataset. It classifies text into three sentiment categories. Negative, Pozitive and Notr.

## Intended uses & limitations

This model is intended for sentiment analysis of Turkish text. It should be used for research purposes or general sentiment analysis tasks in Turkish.

## Training data

The model was fine-tuned on a combined dataset of labeled Turkish sentiment data.

## Training procedure

The model was fine-tuned using the following hyperparameters:
- learning rate: 1e-5
- batch size: 8
- epochs: 2 (with early stopping)
- optimizer: Adam (beta1=0.9, beta2=0.999, epsilon=1e-8)

## Evaluation results

Test Accuracy: 0.9433