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@@ -14,7 +14,7 @@ The core motivation behind developing this model is to address the challenge of
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  # Model Training and Evaluation Data
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- The dataset used for fine-tuning the bert-base-multilingual-cased model specifically targets sentence similarity in Azerbaijani. However, due to privacy concerns, we are not planning to share the dataset. Below are some details about the training and evaluation data:
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  Total Training Samples: 77,499
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  Total Validation Samples: 5,500
 
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  # Model Training and Evaluation Data
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+ The dataset used for fine-tuning the bert-base-multilingual-cased model specifically targets sentence similarity in Azerbaijani. Below are some details about the training and evaluation data:
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  Total Training Samples: 77,499
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  Total Validation Samples: 5,500