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@@ -47,6 +47,13 @@ scores = model.predict([(Query, Paragraph1), (Query, Paragraph2)])
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  ## Evaluation
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- We evalute out model on
 
 
 
 
 
 
 
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  ![Plot](https://huggingface.co/NAMAA-Space/GATE-Reranker-V1/resolve/main/Dataset1_Evaluation.jpg)
 
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  ## Evaluation
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+ We evaluate our model on two different datasets using the metrics **MAP**, **MRR** and **NDCG@10**:
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+ The purpose of this evaluation is to highlight the performance of our model with regards to: Relevant/Irrelevant labels and
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+ 1 - Dataset 1: [NAMAA-Space/Arabic-Reranking-Triplet-5-Eval](https://huggingface.co/datasets/NAMAA-Space/Arabic-Reranking-Triplet-5-Eval)
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+ 2 - Dataset 2: [NAMAA-Space/Ar-Reranking-Eval](https://huggingface.co/datasets/NAMAA-Space/Ar-Reranking-Eval)
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+ and compare it to other famous models on the hub
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  ![Plot](https://huggingface.co/NAMAA-Space/GATE-Reranker-V1/resolve/main/Dataset1_Evaluation.jpg)