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@@ -16,6 +16,8 @@ metrics:
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  model-index:
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  - name: ModernBERT-Sentiment-Classifier
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  results: []
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -23,7 +25,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # ModernBERT-Turkish-Sentiment-Classifier
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- This model is a fine-tuned version of artiwise-ai/modernbert-base-tr-uncased on a Fake News Detection dataset, which is constructed by combining various publicly available datasets, incorporating additional resources curated by me, and translating English-language data into Turkish using large language models.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.280550
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  - Accuracy: 0.956000
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  - Transformers 4.52.2
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  - Pytorch 2.6.0+cu124
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  - Datasets 2.14.4
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- - Tokenizers 0.21.1
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-
 
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  model-index:
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  - name: ModernBERT-Sentiment-Classifier
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  results: []
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+ datasets:
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+ - winvoker/turkish-sentiment-analysis-dataset
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # ModernBERT-Turkish-Sentiment-Classifier
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+ This model is a fine-tuned version of artiwise-ai/modernbert-base-tr-uncased on a Sentiment Analysis dataset winvoker/turkish-sentiment-analysis-dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.280550
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  - Accuracy: 0.956000
 
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  - Transformers 4.52.2
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  - Pytorch 2.6.0+cu124
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  - Datasets 2.14.4
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+ - Tokenizers 0.21.1