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  1. README.md +11 -10
README.md CHANGED
@@ -1378,7 +1378,7 @@ model-index:
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  - type: precision_at_1000
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  value: 0.244
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  - type: precision_at_3
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- value: 25.0
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  - type: precision_at_5
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  value: 18.519
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  - type: recall_at_1
@@ -2197,7 +2197,7 @@ model-index:
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  - type: recall_at_100
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  value: 96.267
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  - type: recall_at_1000
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- value: 100.0
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  - type: recall_at_3
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  value: 72.628
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  - type: recall_at_5
@@ -2250,7 +2250,7 @@ model-index:
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  - type: manhattan_precision
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  value: 90.53916581892166
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  - type: manhattan_recall
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- value: 89.0
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  - type: max_accuracy
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  value: 99.8029702970297
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  - type: max_ap
@@ -2331,7 +2331,7 @@ model-index:
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  - type: map_at_5
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  value: 0.919
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  - type: mrr_at_1
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- value: 78.0
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  - type: mrr_at_10
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  value: 86.18599999999999
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  - type: mrr_at_100
@@ -2339,11 +2339,11 @@ model-index:
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  - type: mrr_at_1000
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  value: 86.18599999999999
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  - type: mrr_at_3
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- value: 85.0
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  - type: mrr_at_5
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  value: 85.9
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  - type: ndcg_at_1
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- value: 74.0
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  - type: ndcg_at_10
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  value: 66.542
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  - type: ndcg_at_100
@@ -2355,7 +2355,7 @@ model-index:
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  - type: ndcg_at_5
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  value: 70.45
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  - type: precision_at_1
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- value: 78.0
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  - type: precision_at_10
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  value: 69.39999999999999
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  - type: precision_at_100
@@ -2363,7 +2363,7 @@ model-index:
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  - type: precision_at_1000
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  value: 20.022000000000002
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  - type: precision_at_3
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- value: 76.0
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  - type: precision_at_5
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  value: 74.8
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  - type: recall_at_1
@@ -2596,6 +2596,8 @@ model-index:
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  value: 86.33456799874504
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  - type: max_f1
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  value: 78.45496750232127
 
 
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  ---
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  # E5-large-v2
@@ -2668,5 +2670,4 @@ 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: precision_at_1000
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  value: 0.244
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  - type: precision_at_3
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+ value: 25
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  - type: precision_at_5
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  value: 18.519
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  - type: recall_at_1
 
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  - type: recall_at_100
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  value: 96.267
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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: 72.628
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  - type: recall_at_5
 
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  - type: manhattan_precision
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  value: 90.53916581892166
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  - type: manhattan_recall
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+ value: 89
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  - type: max_accuracy
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  value: 99.8029702970297
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  - type: max_ap
 
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  - type: map_at_5
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  value: 0.919
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  - type: mrr_at_1
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+ value: 78
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  - type: mrr_at_10
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  value: 86.18599999999999
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  - type: mrr_at_100
 
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  - type: mrr_at_1000
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  value: 86.18599999999999
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  - type: mrr_at_3
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+ value: 85
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  - type: mrr_at_5
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  value: 85.9
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  - type: ndcg_at_1
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+ value: 74
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  - type: ndcg_at_10
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  value: 66.542
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  - type: ndcg_at_100
 
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  - type: ndcg_at_5
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  value: 70.45
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  - type: precision_at_1
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+ value: 78
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  - type: precision_at_10
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  value: 69.39999999999999
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  - type: precision_at_100
 
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  - type: precision_at_1000
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  value: 20.022000000000002
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  - type: precision_at_3
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+ value: 76
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  - type: precision_at_5
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  value: 74.8
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  - type: recall_at_1
 
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  value: 86.33456799874504
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  - type: max_f1
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  value: 78.45496750232127
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+ language:
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+ - en
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  ---
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  # E5-large-v2
 
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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.