Adjusting the metadata
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README.md
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@@ -6,13 +6,16 @@ tags:
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- classification
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license: "mit"
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datasets:
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- qqp
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metrics:
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- accuracy
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- loss
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widget:
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- text: How is the life of a math student? Could you describe your own experiences?
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- text: Which level of preparation is enough for the exam jlpt5?
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---
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A fine-tuned model based on the **DeBERTaV3** model of Microsoft and fine-tuned on **Glue QQP**, which detects the linguistical similarities between two questions and whether they are similar questions or duplicates.
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- classification
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license: "mit"
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datasets:
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- SetFit/qqp
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models:
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- microsoft/deberta-v3-base
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metrics:
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- accuracy
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- loss
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widget:
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- text: How is the life of a math student? Could you describe your own experiences?
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- text: Which level of preparation is enough for the exam jlpt5?
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example_title: "Classification"
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---
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A fine-tuned model based on the **DeBERTaV3** model of Microsoft and fine-tuned on **Glue QQP**, which detects the linguistical similarities between two questions and whether they are similar questions or duplicates.
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