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Update README.md

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@@ -23,7 +23,14 @@ Training script and model creation available on [Github Repo](https://github.com
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  # Assessment
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- Mean Reciprocal Rank & Recall@k=10
 
 
 
 
 
 
 
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  <img src="https://cdn-uploads.huggingface.co/production/uploads/65ba68a15d2ef0a4b2c892b4/ZsbVzv81cn2XW24eqbicU.png" width=800>
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  # Assessment
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+ **Baseline Hit Rate @10**: 61.860%
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+ **Baseline Reciprocal Rank @10**: 0.31108 (Average Rank 3.2)
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+ *Best performing checkpoint at 30epochs*
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+ **Average Hit Rate @10**: 66.628%
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+ **Mean Reciprocal Rank @10**: 0.33119 (Average Rank 3.0)
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+ A **7.7% Improvement** in hit rate and a **6.5% improvement** in mean reciprocal rank against base embedding model.
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  <img src="https://cdn-uploads.huggingface.co/production/uploads/65ba68a15d2ef0a4b2c892b4/ZsbVzv81cn2XW24eqbicU.png" width=800>
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