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Update README.md (#1)

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Co-authored-by: Bertug Mirasyedi <[email protected]>

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  # Model Card for Model ID
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- This model is designed to identify whether two product titles (including specifications) describe the same product. The model generates a score, where a score greater than 0.5 indicates that the products are likely the same.The treshold value can be used as needed. It is based on the BERT base uncased architecture and has been fine-tuned on a custom dataset derived from real-world examples. The model performs particularly well on longer sequences.
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  - **Model type:** Binary Classification
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  - **Language(s) (NLP):** English
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- - **Finetuned from model [optional]:** bert-base-uncased
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  # Model Card for Model ID
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+ This model is designed to identify whether two product titles (including specifications) describe the same product. The model generates a score, where a score greater than 0.5 indicates that the products are likely the same. The threshold value can be used as needed. It is based on the BERT base uncased architecture and has been fine-tuned on a custom dataset derived from real-world examples. The model performs particularly well on longer sequences.
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  - **Model type:** Binary Classification
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  - **Language(s) (NLP):** English
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+ - **Finetuned from model:** bert-base-uncased
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