nijatzeynalov
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Update README.md
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README.md
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We express our gratitude to our team who participated in the development, training, and evaluation phases of this model. Their dedication and hard work have been instrumental in advancing Azerbaijani language processing technologies.
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This model, used in one of our projects, was developed without the allocation of extensive resources. We believe that with more resources, a better outcome is achievable. It's worth mentioning that this model marks the first endeavor in exploring semantic similarity within the Azerbaijani language context. As such, there is considerable potential for further refinement and improvement, which could significantly enhance its performance and applicability in various fields.
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We express our gratitude to our team who participated in the development, training, and evaluation phases of this model. Their dedication and hard work have been instrumental in advancing Azerbaijani language processing technologies.
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This model, used in one of our projects, was developed without the allocation of extensive resources. We have observed promising results (training accuracy of 78% and a validation accuracy of 75%) and believe that with more resources, a better outcome is achievable. It's worth mentioning that this model marks the first endeavor in exploring semantic similarity within the Azerbaijani language context. As such, there is considerable potential for further refinement and improvement, which could significantly enhance its performance and applicability in various fields.
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