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Update README

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@@ -58,7 +58,7 @@ Performance was evaluated using the [NDCG@10](https://en.wikipedia.org/wiki/Disc
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  | Model | NDCG@10 | MAP@10 |
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  | ---------------------------------------------------------- | ---------- | --------- |
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  | [bge-base-en-v1.5](https://hf.co/BAAI/bge-large-en-v1.5) | 0.6320 | 0.5485 |
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- | **[e5-base](https://hf.co/intfloat/e5-base)** | **0.7021** | **0.6517** |
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  | [gte-base](https://hf.co/thenlper/gte-base) | 0.6775 | 0.6350 |
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  `e5-base` is the best performing model for the evaluation set. This highlights the importance of testing models as `e5-base` is far from the leading model on the [MTEB leaderboard](https://huggingface.co/spaces/mteb/leaderboard). Benchmark datasets are only a guide.
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  | Model | NDCG@10 | MAP@10 |
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  | ---------------------------------------------------------- | ---------- | --------- |
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  | [bge-base-en-v1.5](https://hf.co/BAAI/bge-large-en-v1.5) | 0.6320 | 0.5485 |
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+ | [**e5-base**](https://hf.co/intfloat/e5-base) | **0.7021** | **0.6517** |
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  | [gte-base](https://hf.co/thenlper/gte-base) | 0.6775 | 0.6350 |
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  `e5-base` is the best performing model for the evaluation set. This highlights the importance of testing models as `e5-base` is far from the leading model on the [MTEB leaderboard](https://huggingface.co/spaces/mteb/leaderboard). Benchmark datasets are only a guide.