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README.md
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library_name: transformers
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license: apache-2.0
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datasets:
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- BeastyZ/
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language:
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- en
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-
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model-index:
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- name: e5-R-mistral-7b
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results:
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- type: ndcg_at_1000
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value: 61.149
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- type: ndcg_at_3
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-
value: 49
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- type: ndcg_at_5
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value: 51.141000000000005
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- type: precision_at_1
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@@ -1702,9 +1701,9 @@ model-index:
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- type: recall_at_10
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value: 89.517
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- type: recall_at_100
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value: 97
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- type: recall_at_1000
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value: 100
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- type: recall_at_3
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value: 79.72200000000001
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- type: recall_at_5
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@@ -1733,19 +1732,19 @@ model-index:
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- type: map_at_5
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value: 1.199
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- type: mrr_at_1
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-
value: 94
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- type: mrr_at_10
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-
value: 97
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- type: mrr_at_100
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-
value: 97
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- type: mrr_at_1000
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-
value: 97
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- type: mrr_at_3
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-
value: 97
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- type: mrr_at_5
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| 1746 |
-
value: 97
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- type: ndcg_at_1
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| 1748 |
-
value: 92
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| 1749 |
- type: ndcg_at_10
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value: 84.399
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| 1751 |
- type: ndcg_at_100
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@@ -1757,7 +1756,7 @@ model-index:
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| 1757 |
- type: ndcg_at_5
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value: 88.52600000000001
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| 1759 |
- type: precision_at_1
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| 1760 |
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value: 94
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| 1761 |
- type: precision_at_10
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| 1762 |
value: 86.8
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| 1763 |
- type: precision_at_100
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@@ -1871,6 +1870,4 @@ e5-R-mistral-7b is a LLM retriever fine-tuned from [mistralai/Mistral-7B-v0.1](h
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- **Model type:** CausalLM
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- **Repository:** Welcome to our [GitHub](https://github.com/LeeSureman/ConRetriever) repository to obtain code
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- **Training dataset:** Dataset used for fine-tuning e5-R-mistral-7b is available [here](https://huggingface.co/datasets/BeastyZ/ConRetriever).
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-
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-
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library_name: transformers
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license: apache-2.0
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datasets:
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- BeastyZ/E5-R
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language:
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- en
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model-index:
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- name: e5-R-mistral-7b
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results:
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| 119 |
- type: ndcg_at_1000
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| 120 |
value: 61.149
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| 121 |
- type: ndcg_at_3
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| 122 |
+
value: 49
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| 123 |
- type: ndcg_at_5
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value: 51.141000000000005
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- type: precision_at_1
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- type: recall_at_10
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| 1702 |
value: 89.517
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| 1703 |
- type: recall_at_100
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| 1704 |
+
value: 97
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| 1705 |
- type: recall_at_1000
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| 1706 |
+
value: 100
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| 1707 |
- type: recall_at_3
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| 1708 |
value: 79.72200000000001
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| 1709 |
- type: recall_at_5
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| 1732 |
- type: map_at_5
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| 1733 |
value: 1.199
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| 1734 |
- type: mrr_at_1
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| 1735 |
+
value: 94
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| 1736 |
- type: mrr_at_10
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| 1737 |
+
value: 97
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| 1738 |
- type: mrr_at_100
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| 1739 |
+
value: 97
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| 1740 |
- type: mrr_at_1000
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| 1741 |
+
value: 97
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| 1742 |
- type: mrr_at_3
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| 1743 |
+
value: 97
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| 1744 |
- type: mrr_at_5
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| 1745 |
+
value: 97
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| 1746 |
- type: ndcg_at_1
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| 1747 |
+
value: 92
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| 1748 |
- type: ndcg_at_10
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| 1749 |
value: 84.399
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| 1750 |
- type: ndcg_at_100
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| 1756 |
- type: ndcg_at_5
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| 1757 |
value: 88.52600000000001
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| 1758 |
- type: precision_at_1
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| 1759 |
+
value: 94
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| 1760 |
- type: precision_at_10
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value: 86.8
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| 1762 |
- type: precision_at_100
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| 1870 |
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- **Model type:** CausalLM
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| 1872 |
- **Repository:** Welcome to our [GitHub](https://github.com/LeeSureman/ConRetriever) repository to obtain code
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+
- **Training dataset:** Dataset used for fine-tuning e5-R-mistral-7b is available [here](https://huggingface.co/datasets/BeastyZ/ConRetriever).
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