Update README.md
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README.md
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---
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library_name: transformers
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tags:
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- gte
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@@ -2168,7 +2170,7 @@ model-index:
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- type: mrr_at_1000
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value: 78.704
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- type: mrr_at_3
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value: 77
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- type: mrr_at_5
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value: 78.083
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- type: ndcg_at_1
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@@ -2202,7 +2204,7 @@ model-index:
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- type: recall_at_100
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value: 99.833
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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: 86.506
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- type: recall_at_5
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@@ -2245,7 +2247,7 @@ model-index:
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- type: euclidean_precision
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value: 85.74181117533719
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- type: euclidean_recall
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value: 89
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- type: manhattan_accuracy
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value: 99.75445544554455
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- type: manhattan_ap
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@@ -2336,19 +2338,19 @@ model-index:
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- type: map_at_5
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value: 1.028
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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: 94
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- type: mrr_at_100
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value: 94
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- type: mrr_at_1000
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-
value: 94
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- type: mrr_at_3
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value: 94
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- type: mrr_at_5
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value: 94
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- type: ndcg_at_1
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value: 82
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- type: ndcg_at_10
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value: 77.48899999999999
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- type: ndcg_at_100
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@@ -2360,7 +2362,7 @@ model-index:
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- type: ndcg_at_5
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value: 80.449
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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: 82.19999999999999
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- type: precision_at_100
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@@ -2368,7 +2370,7 @@ model-index:
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- type: precision_at_1000
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value: 23.684
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- type: precision_at_3
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value: 88
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- type: precision_at_5
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value: 85.6
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- type: recall_at_1
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@@ -2739,4 +2741,4 @@ The gte evaluation setting: `mteb==1.2.0, fp16 auto mix precision, max_length=81
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**APA:**
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[More Information Needed]
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---
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datasets:
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- allenai/c4
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library_name: transformers
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tags:
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- gte
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- type: mrr_at_1000
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value: 78.704
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- type: mrr_at_3
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value: 77
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- type: mrr_at_5
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value: 78.083
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- type: ndcg_at_1
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- type: recall_at_100
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value: 99.833
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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: 86.506
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- type: recall_at_5
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- type: euclidean_precision
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value: 85.74181117533719
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- type: euclidean_recall
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value: 89
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- type: manhattan_accuracy
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value: 99.75445544554455
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- type: manhattan_ap
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- type: map_at_5
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value: 1.028
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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: 94
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- type: mrr_at_100
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value: 94
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- type: mrr_at_1000
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value: 94
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- type: mrr_at_3
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value: 94
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- type: mrr_at_5
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value: 94
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- type: ndcg_at_1
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value: 82
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- type: ndcg_at_10
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value: 77.48899999999999
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- type: ndcg_at_100
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- type: ndcg_at_5
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value: 80.449
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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: 82.19999999999999
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- type: precision_at_100
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- type: precision_at_1000
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value: 23.684
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- type: precision_at_3
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value: 88
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- type: precision_at_5
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value: 85.6
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- type: recall_at_1
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**APA:**
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[More Information Needed]
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