Sentence Similarity
sentence-transformers
PyTorch
Transformers
English
t5
text-embedding
embeddings
information-retrieval
beir
text-classification
language-model
text-clustering
text-semantic-similarity
text-evaluation
prompt-retrieval
text-reranking
feature-extraction
English
Sentence Similarity
natural_questions
ms_marco
fever
hotpot_qa
mteb
Eval Results
multi-train
commited on
Commit
•
ff5c15b
1
Parent(s):
7269a36
Update README.md
Browse files
README.md
CHANGED
@@ -1727,65 +1727,65 @@ model-index:
|
|
1727 |
revision: None
|
1728 |
metrics:
|
1729 |
- type: map_at_1
|
1730 |
-
value:
|
1731 |
- type: map_at_10
|
1732 |
-
value:
|
1733 |
- type: map_at_100
|
1734 |
-
value:
|
1735 |
- type: map_at_1000
|
1736 |
-
value: 43.
|
1737 |
- type: map_at_3
|
1738 |
-
value: 37.
|
1739 |
- type: map_at_5
|
1740 |
-
value:
|
1741 |
- type: mrr_at_1
|
1742 |
-
value: 30.
|
1743 |
- type: mrr_at_10
|
1744 |
-
value: 44.
|
1745 |
- type: mrr_at_100
|
1746 |
-
value: 45.
|
1747 |
- type: mrr_at_1000
|
1748 |
-
value: 45.
|
1749 |
- type: mrr_at_3
|
1750 |
-
value: 40.
|
1751 |
- type: mrr_at_5
|
1752 |
-
value:
|
1753 |
- type: ndcg_at_1
|
1754 |
-
value: 30.
|
1755 |
- type: ndcg_at_10
|
1756 |
-
value:
|
1757 |
- type: ndcg_at_100
|
1758 |
-
value: 54.
|
1759 |
- type: ndcg_at_1000
|
1760 |
-
value: 55.
|
1761 |
- type: ndcg_at_3
|
1762 |
-
value: 41.
|
1763 |
- type: ndcg_at_5
|
1764 |
-
value:
|
1765 |
- type: precision_at_1
|
1766 |
-
value: 30.
|
1767 |
- type: precision_at_10
|
1768 |
-
value: 8.
|
1769 |
- type: precision_at_100
|
1770 |
value: 1.124
|
1771 |
- type: precision_at_1000
|
1772 |
value: 0.12
|
1773 |
- type: precision_at_3
|
1774 |
-
value: 18.
|
1775 |
- type: precision_at_5
|
1776 |
-
value: 14.
|
1777 |
- type: recall_at_1
|
1778 |
-
value:
|
1779 |
- type: recall_at_10
|
1780 |
-
value: 71.
|
1781 |
- type: recall_at_100
|
1782 |
-
value: 92.
|
1783 |
- type: recall_at_1000
|
1784 |
-
value: 98.
|
1785 |
- type: recall_at_3
|
1786 |
-
value: 49.
|
1787 |
- type: recall_at_5
|
1788 |
-
value:
|
1789 |
- task:
|
1790 |
type: Retrieval
|
1791 |
dataset:
|
|
|
1727 |
revision: None
|
1728 |
metrics:
|
1729 |
- type: map_at_1
|
1730 |
+
value: 27.378000000000004
|
1731 |
- type: map_at_10
|
1732 |
+
value: 42.178
|
1733 |
- type: map_at_100
|
1734 |
+
value: 43.32
|
1735 |
- type: map_at_1000
|
1736 |
+
value: 43.358000000000004
|
1737 |
- type: map_at_3
|
1738 |
+
value: 37.474000000000004
|
1739 |
- type: map_at_5
|
1740 |
+
value: 40.333000000000006
|
1741 |
- type: mrr_at_1
|
1742 |
+
value: 30.823
|
1743 |
- type: mrr_at_10
|
1744 |
+
value: 44.626
|
1745 |
- type: mrr_at_100
|
1746 |
+
value: 45.494
|
1747 |
- type: mrr_at_1000
|
1748 |
+
value: 45.519
|
1749 |
- type: mrr_at_3
|
1750 |
+
value: 40.585
|
1751 |
- type: mrr_at_5
|
1752 |
+
value: 43.146
|
1753 |
- type: ndcg_at_1
|
1754 |
+
value: 30.794
|
1755 |
- type: ndcg_at_10
|
1756 |
+
value: 50.099000000000004
|
1757 |
- type: ndcg_at_100
|
1758 |
+
value: 54.900999999999996
|
1759 |
- type: ndcg_at_1000
|
1760 |
+
value: 55.69499999999999
|
1761 |
- type: ndcg_at_3
|
1762 |
+
value: 41.238
|
1763 |
- type: ndcg_at_5
|
1764 |
+
value: 46.081
|
1765 |
- type: precision_at_1
|
1766 |
+
value: 30.794
|
1767 |
- type: precision_at_10
|
1768 |
+
value: 8.549
|
1769 |
- type: precision_at_100
|
1770 |
value: 1.124
|
1771 |
- type: precision_at_1000
|
1772 |
value: 0.12
|
1773 |
- type: precision_at_3
|
1774 |
+
value: 18.926000000000002
|
1775 |
- type: precision_at_5
|
1776 |
+
value: 14.16
|
1777 |
- type: recall_at_1
|
1778 |
+
value: 27.378000000000004
|
1779 |
- type: recall_at_10
|
1780 |
+
value: 71.842
|
1781 |
- type: recall_at_100
|
1782 |
+
value: 92.565
|
1783 |
- type: recall_at_1000
|
1784 |
+
value: 98.402
|
1785 |
- type: recall_at_3
|
1786 |
+
value: 49.053999999999995
|
1787 |
- type: recall_at_5
|
1788 |
+
value: 60.207
|
1789 |
- task:
|
1790 |
type: Retrieval
|
1791 |
dataset:
|