| language: tr | |
| tags: | |
| - turkish | |
| - sentiment | |
| - classification | |
| - tensorflow | |
| license: mit | |
| # Turkish Sentiment Analysis Model | |
| This model is a fine-tuned version of [emre/turkish-sentiment-analysis](https://huggingface.co/emre/turkish-sentiment-analysis) 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. | |
| ## 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: 2e-5 | |
| - batch size: 16 | |
| - epochs: 3 (with early stopping) | |
| - optimizer: Adam (beta1=0.9, beta2=0.999, epsilon=1e-8) | |
| ## Evaluation results | |
| Test Accuracy: 0.9286 | |