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add reranker evaluate code
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@@ -375,7 +375,7 @@ If you download reranker-v2-minicpm-layerwise, you can load it with the followin
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```shell
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python evaluate.py \
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--input_path ../LLARA/data/finetune/toy_finetune_data.jsonl \
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--input_path ./toy_finetune_data.jsonl \
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--metrics mrr recall ndcg map precision \
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--k_values 1 10 100
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```

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