Update README.md

README.md

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 - Turkish Sentiment Analysis
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 # 🇹🇷 BERTurk for Turkish Sentiment Analysis
-This model is a fine-tuned version of [BERTurk 32k](https://huggingface.co/dbmdz/bert-base-turkish-cased) on the [TRSAv1 dataset](https://huggingface.co/maydogan/Turkish_SentimentAnalysis_TRSAv1), a labeled collection of Turkish e-commerce reviews categorized into positive, neutral, and negative sentiments. For more details about the dataset, methodology, and experiments, you can refer to the corresponding [research paper](https://dergipark.org.tr/en/pub/ejt/issue/92270/1592448).
+This model is a fine-tuned version of [BERTurk 128k](https://huggingface.co/dbmdz/bert-base-turkish-128k-cased) on the [TRSAv1 dataset](https://huggingface.co/maydogan/Turkish_SentimentAnalysis_TRSAv1), a labeled collection of Turkish e-commerce reviews categorized into positive, neutral, and negative sentiments. For more details about the dataset, methodology, and experiments, you can refer to the corresponding [research paper](https://dergipark.org.tr/en/pub/ejt/issue/92270/1592448).
 
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 ## How to Use
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 | Neutral      | 50,000                |
 | Positive     | 50,000                |
 | TOTAL        | 150,000               |
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 ## Evaluation Results
 ### Overall Performance
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 | Negative        | 88.35            | 85.20           | 86.74             |
 | Neutral         | 77.01            | 76.45           | 76.73             |
 | Positive        | 85.70            | 89.38           | 87.50             |
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 ## Acknowledgments
 Special thanks to [maydogan](https://huggingface.co/maydogan) for their contributions and support.
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