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README.md
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@@ -1207,7 +1207,7 @@ model-index:
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- type: mrr_at_5
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value: 71.038
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- type: ndcg_at_1
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-
value: 51
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- type: ndcg_at_10
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value: 38.637
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- type: ndcg_at_100
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@@ -1884,7 +1884,7 @@ model-index:
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- type: map_at_5
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value: 8.233
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- type: mrr_at_1
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-
value: 19
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- type: mrr_at_10
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value: 28.457
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- type: mrr_at_100
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@@ -1896,7 +1896,7 @@ model-index:
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- type: mrr_at_5
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value: 27.29
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- type: ndcg_at_1
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-
value: 19
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- type: ndcg_at_10
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value: 16.419
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- type: ndcg_at_100
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@@ -1908,7 +1908,7 @@ model-index:
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- type: ndcg_at_5
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value: 13.645
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- type: precision_at_1
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-
value: 19
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- type: precision_at_10
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value: 8.540000000000001
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- type: precision_at_100
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@@ -2230,7 +2230,7 @@ model-index:
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- type: dot_precision
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value: 58.93909626719057
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- type: dot_recall
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-
value: 60
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- type: euclidean_accuracy
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value: 99.81980198019802
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- type: euclidean_ap
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@@ -2331,7 +2331,7 @@ model-index:
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- type: map_at_5
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value: 1.079
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- type: mrr_at_1
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-
value: 88
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- type: mrr_at_10
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value: 93.667
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- type: mrr_at_100
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@@ -2343,7 +2343,7 @@ model-index:
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- type: mrr_at_5
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value: 93.667
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- type: ndcg_at_1
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-
value: 83
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- type: ndcg_at_10
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value: 76.777
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- type: ndcg_at_100
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@@ -2355,7 +2355,7 @@ model-index:
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- type: ndcg_at_5
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value: 80.74799999999999
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- type: precision_at_1
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-
value: 88
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- type: precision_at_10
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value: 80.80000000000001
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- type: precision_at_100
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@@ -2363,9 +2363,9 @@ model-index:
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- type: precision_at_1000
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value: 21.51
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- type: precision_at_3
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value: 86
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- type: precision_at_5
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value: 86
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- type: recall_at_1
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value: 0.243
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- type: recall_at_10
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@@ -2596,6 +2596,9 @@ model-index:
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value: 85.78879502899773
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- type: max_f1
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value: 78.26696165191743
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---
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# E5-small
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@@ -2668,5 +2671,4 @@ If you find our paper or models helpful, please consider cite as follows:
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## Limitations
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This model only works for English texts. Long texts will be truncated to at most 512 tokens.
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-
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- type: mrr_at_5
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value: 71.038
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- type: ndcg_at_1
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+
value: 51
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- type: ndcg_at_10
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value: 38.637
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- type: ndcg_at_100
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- type: map_at_5
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value: 8.233
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- type: mrr_at_1
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value: 19
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- type: mrr_at_10
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value: 28.457
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- type: mrr_at_100
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- type: mrr_at_5
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value: 27.29
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- type: ndcg_at_1
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value: 19
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- type: ndcg_at_10
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value: 16.419
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- type: ndcg_at_100
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- type: ndcg_at_5
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value: 13.645
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- type: precision_at_1
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value: 19
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- type: precision_at_10
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value: 8.540000000000001
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- type: precision_at_100
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- type: dot_precision
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value: 58.93909626719057
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- type: dot_recall
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+
value: 60
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- type: euclidean_accuracy
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value: 99.81980198019802
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- type: euclidean_ap
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- type: map_at_5
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value: 1.079
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- type: mrr_at_1
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+
value: 88
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- type: mrr_at_10
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value: 93.667
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- type: mrr_at_100
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- type: mrr_at_5
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value: 93.667
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- type: ndcg_at_1
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+
value: 83
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- type: ndcg_at_10
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value: 76.777
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- type: ndcg_at_100
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- type: ndcg_at_5
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value: 80.74799999999999
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- type: precision_at_1
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+
value: 88
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- type: precision_at_10
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value: 80.80000000000001
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- type: precision_at_100
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- type: precision_at_1000
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value: 21.51
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- type: precision_at_3
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value: 86
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- type: precision_at_5
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+
value: 86
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- type: recall_at_1
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value: 0.243
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- type: recall_at_10
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value: 85.78879502899773
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- type: max_f1
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value: 78.26696165191743
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+
language:
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+
- en
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pipeline_tag: sentence-similarity
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---
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# E5-small
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## Limitations
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+
This model only works for English texts. Long texts will be truncated to at most 512 tokens.
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