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@@ -58,14 +58,4 @@ The following hyperparameters were used during training:
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  - Datasets 2.17.0
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  - Tokenizers 0.15.2
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- ## Widgets
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- The following examples demonstrate the model's ability to distinguish between equivalent and non-equivalent sentence pairs:
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- - Text: ["Yucaipa owned Dominick's before selling the chain to Safeway in 1998 for $2.5 billion.", "Yucaipa bought Dominick's in 1995 for $693 million and sold it to Safeway for $1.8 billion in 1998."]
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- Example Title: Not Equivalent
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- - Text: ["Revenue in the first quarter of the year dropped 15 percent from the same period a year earlier.", "With the scandal hanging over Stewart's company, revenue the first quarter of the year dropped 15 percent from the same period a year earlier."]
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- Example Title: Equivalent
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- This detailed README provides a comprehensive overview of the model, including its purpose, training data, and performance metrics, which can help users understand and utilize the model more effectively.
 
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  - Datasets 2.17.0
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  - Tokenizers 0.15.2
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