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Update README.md

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  ---
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  library_name: transformers
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  base_model: "cross-encoder/ms-marco-MiniLM-L-12-v2"
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- metrics:
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- - mrr@10: 91.74
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- - ndcg@10: 84.83
 
 
 
 
 
 
 
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  tags: ["cross-encoder", "search", "product-search"]
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  ---
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@@ -32,12 +39,12 @@ queries = [
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  "mustard blouse"
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  ]
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  documents = [
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- "nike air max, with air cushion",
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- "adidas ultraboost, the best boost you can get",
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- "women sandals wide width 9",
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- "girls surf backpack",
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- "fresh watermelon, all you can eat",
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- "floral yellow dress with frills and lace"
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  ]
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  model = AutoModelForSequenceClassification.from_pretrained(model_name)
 
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  ---
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  library_name: transformers
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  base_model: "cross-encoder/ms-marco-MiniLM-L-12-v2"
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+ model-index:
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+ - name: esci-ms-marco-MiniLM-L-12-v2
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+ results:
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+ - task:
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+ type: ranking
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+ metrics:
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+ - type: mrr@10
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+ value: 91.74
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+ - type: ndcg@10
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+ value: 84.83
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  tags: ["cross-encoder", "search", "product-search"]
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  ---
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  "mustard blouse"
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  ]
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  documents = [
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+ "Nike Air Max, with air cushion",
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+ "Adidas Ultraboost, the best boost you can get",
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+ "Women's sandals wide width 9",
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+ "Girl's surf backpack",
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+ "Fresh watermelon, all you can eat",
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+ "Floral yellow dress with frills and lace"
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  ]
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  model = AutoModelForSequenceClassification.from_pretrained(model_name)