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@@ -47,15 +47,15 @@ evaluation_results:
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  ## Model Overview
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-
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- This model is a **text classification model** trained to **predict the tense of English sentences**: **Past**, **Present**, or **Future**. It is based on the `bert-base-uncased` architecture.
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  ## Intended Use
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  This model can be used in applications such as:
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- - Identifying if statements are discussing past needs, motivations, products, etc.
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- - Determining current events or situations in text.
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- - Predicting future plans or intentions based on sentence structure.
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  ### Example Sentences and Labels
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  ## Model Overview
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+ ⏳🔮🔄
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+ This model is a **text classification model** trained to **predict the tense of English sentences**: **⏪ Past**, **⏺️ Present**, or **⏩Future**. It is based on the `bert-base-uncased` architecture.
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  ## Intended Use
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  This model can be used in applications such as:
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+ - Identifying if statements are discussing past needs, motivations, products, etc.
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+ - Determining current events or situations in text. ⏺️
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+ - Predicting future plans or intentions based on sentence structure.
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  ### Example Sentences and Labels
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