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turkish-sentiment
ikball/turkish-sentiment
turkish-sentiment is a machine learning model from ikball. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This model is a fine-tuned version of VRLLab/TurkishBERTweet for sentiment analysis in Turkish.
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At a glance
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Aug 5, 2024
- Updated
- Aug 8, 2024
- SHA
- 7d4e0749
Model card
From the Hugging Face model README
Turkish Sentiment Analysis Model
This model is a fine-tuned version of 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: 5 (with early stopping)
- optimizer: Adam (beta1=0.9, beta2=0.999, epsilon=1e-8)
Evaluation results
Test Accuracy: 0.9325
- Type
- roberta
- License
- mit
- Languages
- tr
- Created
- Aug 5, 2024
- Updated
- Aug 8, 2024