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README.md
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- type: recall_at_10
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value: 72.7
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- type: recall_at_20
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value: 76
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- type: recall_at_100
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value: 86.6
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- type: recall_at_1000
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- type: nauc_recall_at_100_diff1
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value: 59.588699999999996
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- type: nauc_recall_at_1000_max
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value: 100
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- type: nauc_recall_at_1000_std
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value: 95.6427
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- type: nauc_recall_at_1000_diff1
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- type: nauc_precision_at_100_diff1
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value: 59.588699999999996
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- type: nauc_precision_at_1000_max
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value: 100
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- type: nauc_precision_at_1000_std
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value: 95.6427
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- type: nauc_precision_at_1000_diff1
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- transformers
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- sentence-similarity
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- mteb
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---
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# INF-Retriever-v1
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## Model Overview
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@@ -2446,4 +2447,4 @@ print(scores.tolist())
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| [BGE-M3](https://huggingface.co/BAAI/bge-m3) | 46.65 | 60.49 | 62.36 | 47.35 | 50.38 | 49.1 | **42.38** | 26.68 | 40.76 | 48.04 | 40.75 | 51.52 | 32.18 | 54.4 |
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| [BGE-Multilingual-Gemma2](https://huggingface.co/BAAI/bge-multilingual-gemma2) | 46.83 | 63.71 | 67.3 | 50.38 | 53.24 | 47.24 | 42.13 | 22.58 | 23.28 | 50.91 | 44.02 | 49.3 | 31.6 | **63.14** |
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| [GTE-Qwen2-7B-instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct) | 48.38 | 63.46 | 66.44 | 51.2 | 51.98 | 54.2 | 38.82 | 22.31 | 40.27 | **54.07** | 43.03 | 58.2 | 26.63 | 58.39 |
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| **INF-Retriever-v1** | **52.56** | **65.25** | **68.44** | **52.13** | **56.6** | **56.96** | 42.03 | **34.51** | **50.62** | 53.32 | **50.02** | **58.34** | **35.42** | 59.64 |
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- type: recall_at_10
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value: 72.7
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- type: recall_at_20
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+
value: 76
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- type: recall_at_100
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value: 86.6
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- type: recall_at_1000
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- type: nauc_recall_at_100_diff1
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value: 59.588699999999996
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- type: nauc_recall_at_1000_max
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+
value: 100
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- type: nauc_recall_at_1000_std
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value: 95.6427
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- type: nauc_recall_at_1000_diff1
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- type: nauc_precision_at_100_diff1
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value: 59.588699999999996
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- type: nauc_precision_at_1000_max
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+
value: 100
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- type: nauc_precision_at_1000_std
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value: 95.6427
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- type: nauc_precision_at_1000_diff1
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- transformers
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- sentence-similarity
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- mteb
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+
license: apache-2.0
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---
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# INF-Retriever-v1
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## Model Overview
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| [BGE-M3](https://huggingface.co/BAAI/bge-m3) | 46.65 | 60.49 | 62.36 | 47.35 | 50.38 | 49.1 | **42.38** | 26.68 | 40.76 | 48.04 | 40.75 | 51.52 | 32.18 | 54.4 |
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| [BGE-Multilingual-Gemma2](https://huggingface.co/BAAI/bge-multilingual-gemma2) | 46.83 | 63.71 | 67.3 | 50.38 | 53.24 | 47.24 | 42.13 | 22.58 | 23.28 | 50.91 | 44.02 | 49.3 | 31.6 | **63.14** |
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| [GTE-Qwen2-7B-instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct) | 48.38 | 63.46 | 66.44 | 51.2 | 51.98 | 54.2 | 38.82 | 22.31 | 40.27 | **54.07** | 43.03 | 58.2 | 26.63 | 58.39 |
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+
| **INF-Retriever-v1** | **52.56** | **65.25** | **68.44** | **52.13** | **56.6** | **56.96** | 42.03 | **34.51** | **50.62** | 53.32 | **50.02** | **58.34** | **35.42** | 59.64 |
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