Commit
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60f0b43
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Parent(s):
9c6f000
Add MTEB
Browse files
README.md
CHANGED
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@@ -39,6 +39,7 @@ model-index:
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name: MTEB AmazonCounterfactualClassification (en)
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config: en
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split: test
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metrics:
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- type: accuracy
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value: 65.28358208955224
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@@ -53,6 +54,7 @@ model-index:
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name: MTEB AmazonCounterfactualClassification (de)
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config: de
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split: test
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metrics:
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- type: accuracy
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value: 57.09850107066381
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@@ -67,6 +69,7 @@ model-index:
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name: MTEB AmazonCounterfactualClassification (en-ext)
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config: en-ext
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split: test
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metrics:
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- type: accuracy
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value: 67.24137931034483
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@@ -81,6 +84,7 @@ model-index:
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name: MTEB AmazonCounterfactualClassification (ja)
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config: ja
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split: test
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metrics:
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- type: accuracy
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value: 59.91434689507494
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@@ -95,6 +99,7 @@ model-index:
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name: MTEB AmazonPolarityClassification
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config: default
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split: test
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metrics:
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- type: accuracy
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value: 62.984899999999996
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@@ -109,6 +114,7 @@ model-index:
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name: MTEB AmazonReviewsClassification (en)
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config: en
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split: test
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metrics:
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- type: accuracy
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value: 30.792
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@@ -121,6 +127,7 @@ model-index:
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name: MTEB AmazonReviewsClassification (de)
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config: de
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split: test
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metrics:
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- type: accuracy
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value: 25.907999999999998
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@@ -133,6 +140,7 @@ model-index:
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name: MTEB AmazonReviewsClassification (es)
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config: es
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split: test
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metrics:
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- type: accuracy
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value: 27.634000000000004
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@@ -145,6 +153,7 @@ model-index:
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name: MTEB AmazonReviewsClassification (fr)
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config: fr
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split: test
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metrics:
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- type: accuracy
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value: 27.540000000000003
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@@ -157,6 +166,7 @@ model-index:
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name: MTEB AmazonReviewsClassification (ja)
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config: ja
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split: test
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metrics:
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- type: accuracy
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value: 23.566000000000003
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@@ -169,6 +179,7 @@ model-index:
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name: MTEB AmazonReviewsClassification (zh)
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config: zh
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split: test
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metrics:
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- type: accuracy
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value: 22.99
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@@ -181,6 +192,7 @@ model-index:
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name: MTEB ArguAna
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config: default
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split: test
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metrics:
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- type: map_at_1
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value: 23.257
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@@ -249,6 +261,7 @@ model-index:
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name: MTEB ArxivClusteringP2P
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config: default
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split: test
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metrics:
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- type: v_measure
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value: 46.06982724111873
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@@ -259,6 +272,7 @@ model-index:
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name: MTEB ArxivClusteringS2S
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config: default
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split: test
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metrics:
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- type: v_measure
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value: 37.501829188148264
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@@ -269,6 +283,7 @@ model-index:
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name: MTEB AskUbuntuDupQuestions
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config: default
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split: test
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metrics:
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- type: map
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value: 64.06160552465775
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@@ -281,6 +296,7 @@ model-index:
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name: MTEB BIOSSES
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config: default
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split: test
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metrics:
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- type: cos_sim_pearson
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value: 86.73300462416691
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@@ -301,6 +317,7 @@ model-index:
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name: MTEB Banking77Classification
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config: default
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split: test
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metrics:
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- type: accuracy
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value: 80.40259740259741
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@@ -313,6 +330,7 @@ model-index:
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name: MTEB BiorxivClusteringP2P
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config: default
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split: test
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metrics:
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- type: v_measure
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value: 36.985834019439366
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@@ -323,6 +341,7 @@ model-index:
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name: MTEB BiorxivClusteringS2S
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config: default
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split: test
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metrics:
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- type: v_measure
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value: 33.207831360185644
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@@ -333,6 +352,7 @@ model-index:
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name: MTEB CQADupstackAndroidRetrieval
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config: default
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split: test
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metrics:
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- type: map_at_1
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value: 34.975
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@@ -401,6 +421,7 @@ model-index:
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name: MTEB CQADupstackEnglishRetrieval
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config: default
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split: test
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metrics:
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- type: map_at_1
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value: 31.509999999999998
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@@ -469,6 +490,7 @@ model-index:
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name: MTEB CQADupstackGamingRetrieval
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config: default
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split: test
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metrics:
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- type: map_at_1
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value: 38.577
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@@ -537,6 +559,7 @@ model-index:
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name: MTEB CQADupstackGisRetrieval
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config: default
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split: test
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metrics:
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- type: map_at_1
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value: 27.038
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@@ -605,6 +628,7 @@ model-index:
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name: MTEB CQADupstackMathematicaRetrieval
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config: default
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split: test
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metrics:
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- type: map_at_1
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value: 17.264
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@@ -673,6 +697,7 @@ model-index:
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name: MTEB CQADupstackPhysicsRetrieval
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config: default
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split: test
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metrics:
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- type: map_at_1
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value: 28.668
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@@ -741,6 +766,7 @@ model-index:
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name: MTEB CQADupstackProgrammersRetrieval
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config: default
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split: test
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metrics:
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- type: map_at_1
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value: 25.287
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@@ -809,6 +835,7 @@ model-index:
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name: MTEB CQADupstackRetrieval
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config: default
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split: test
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metrics:
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- type: map_at_1
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value: 26.613
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@@ -877,6 +904,7 @@ model-index:
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name: MTEB CQADupstackStatsRetrieval
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config: default
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split: test
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metrics:
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- type: map_at_1
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value: 26.079
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@@ -945,6 +973,7 @@ model-index:
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name: MTEB CQADupstackTexRetrieval
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config: default
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split: test
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metrics:
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- type: map_at_1
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value: 18.17
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@@ -1013,6 +1042,7 @@ model-index:
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name: MTEB CQADupstackUnixRetrieval
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config: default
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split: test
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metrics:
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- type: map_at_1
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value: 28.016999999999996
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@@ -1081,6 +1111,7 @@ model-index:
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name: MTEB CQADupstackWebmastersRetrieval
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config: default
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split: test
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metrics:
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- type: map_at_1
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value: 24.295
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@@ -1149,6 +1180,7 @@ model-index:
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name: MTEB CQADupstackWordpressRetrieval
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config: default
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split: test
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metrics:
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- type: map_at_1
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value: 19.476
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@@ -1217,6 +1249,7 @@ model-index:
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name: MTEB ClimateFEVER
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config: default
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split: test
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metrics:
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- type: map_at_1
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value: 8.341999999999999
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@@ -1285,6 +1318,7 @@ model-index:
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name: MTEB DBPedia
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config: default
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split: test
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metrics:
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- type: map_at_1
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value: 7.5920000000000005
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@@ -1353,6 +1387,7 @@ model-index:
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name: MTEB EmotionClassification
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config: default
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split: test
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metrics:
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- type: accuracy
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value: 41.17
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@@ -1365,6 +1400,7 @@ model-index:
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name: MTEB FEVER
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config: default
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split: test
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metrics:
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- type: map_at_1
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value: 37.361
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@@ -1433,6 +1469,7 @@ model-index:
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name: MTEB FiQA2018
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config: default
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split: test
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metrics:
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- type: map_at_1
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value: 18.257
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@@ -1501,6 +1538,7 @@ model-index:
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name: MTEB HotpotQA
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config: default
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split: test
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metrics:
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- type: map_at_1
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value: 25.935000000000002
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@@ -1569,6 +1607,7 @@ model-index:
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name: MTEB ImdbClassification
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config: default
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split: test
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metrics:
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- type: accuracy
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value: 59.76079999999999
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@@ -1583,6 +1622,7 @@ model-index:
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name: MTEB MSMARCO
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config: default
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split: dev
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metrics:
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- type: map_at_1
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value: 20.666999999999998
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@@ -1651,6 +1691,7 @@ model-index:
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name: MTEB MTOPDomainClassification (en)
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config: en
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split: test
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metrics:
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- type: accuracy
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value: 91.89922480620154
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@@ -1663,6 +1704,7 @@ model-index:
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name: MTEB MTOPDomainClassification (de)
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config: de
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split: test
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metrics:
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- type: accuracy
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value: 72.03719357565511
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@@ -1675,6 +1717,7 @@ model-index:
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name: MTEB MTOPDomainClassification (es)
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config: es
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split: test
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metrics:
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- type: accuracy
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value: 72.98532354903269
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@@ -1687,6 +1730,7 @@ model-index:
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name: MTEB MTOPDomainClassification (fr)
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config: fr
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split: test
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metrics:
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- type: accuracy
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value: 75.59348575007829
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@@ -1699,6 +1743,7 @@ model-index:
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| 1699 |
name: MTEB MTOPDomainClassification (hi)
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config: hi
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split: test
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metrics:
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- type: accuracy
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value: 40.36213696665471
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@@ -1711,6 +1756,7 @@ model-index:
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name: MTEB MTOPDomainClassification (th)
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config: th
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split: test
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metrics:
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- type: accuracy
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value: 17.099457504520796
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@@ -1723,6 +1769,7 @@ model-index:
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name: MTEB MTOPIntentClassification (en)
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config: en
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split: test
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metrics:
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- type: accuracy
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value: 62.83629730962153
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@@ -1735,6 +1782,7 @@ model-index:
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name: MTEB MTOPIntentClassification (de)
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config: de
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split: test
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metrics:
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- type: accuracy
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value: 43.412228796844175
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@@ -1747,6 +1795,7 @@ model-index:
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name: MTEB MTOPIntentClassification (es)
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config: es
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split: test
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metrics:
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- type: accuracy
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value: 41.8812541694463
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@@ -1759,6 +1808,7 @@ model-index:
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| 1759 |
name: MTEB MTOPIntentClassification (fr)
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config: fr
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split: test
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metrics:
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| 1763 |
- type: accuracy
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| 1764 |
value: 38.93830253679925
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@@ -1771,6 +1821,7 @@ model-index:
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| 1771 |
name: MTEB MTOPIntentClassification (hi)
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| 1772 |
config: hi
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split: test
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metrics:
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- type: accuracy
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| 1776 |
value: 17.7518823951237
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@@ -1783,6 +1834,7 @@ model-index:
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name: MTEB MTOPIntentClassification (th)
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config: th
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split: test
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metrics:
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- type: accuracy
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| 1788 |
value: 5.631103074141048
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@@ -1795,6 +1847,7 @@ model-index:
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| 1795 |
name: MTEB MassiveIntentClassification (af)
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config: af
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split: test
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metrics:
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- type: accuracy
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value: 38.94082044384667
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@@ -1807,6 +1860,7 @@ model-index:
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name: MTEB MassiveIntentClassification (am)
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config: am
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split: test
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metrics:
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- type: accuracy
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value: 2.451244115669133
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@@ -1819,6 +1873,7 @@ model-index:
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| 1819 |
name: MTEB MassiveIntentClassification (ar)
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config: ar
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split: test
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metrics:
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- type: accuracy
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| 1824 |
value: 20.938130464021523
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@@ -1831,6 +1886,7 @@ model-index:
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| 1831 |
name: MTEB MassiveIntentClassification (az)
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| 1832 |
config: az
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split: test
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metrics:
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- type: accuracy
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| 1836 |
value: 34.25016812373907
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@@ -1843,6 +1899,7 @@ model-index:
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| 1843 |
name: MTEB MassiveIntentClassification (bn)
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| 1844 |
config: bn
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| 1845 |
split: test
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metrics:
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| 1847 |
- type: accuracy
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| 1848 |
value: 13.665097511768659
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@@ -1855,6 +1912,7 @@ model-index:
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| 1855 |
name: MTEB MassiveIntentClassification (cy)
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| 1856 |
config: cy
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| 1857 |
split: test
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| 1858 |
metrics:
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| 1859 |
- type: accuracy
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| 1860 |
value: 35.7128446536651
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@@ -1867,6 +1925,7 @@ model-index:
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| 1867 |
name: MTEB MassiveIntentClassification (da)
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| 1868 |
config: da
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| 1869 |
split: test
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metrics:
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| 1871 |
- type: accuracy
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| 1872 |
value: 44.425016812373904
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@@ -1879,6 +1938,7 @@ model-index:
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| 1879 |
name: MTEB MassiveIntentClassification (de)
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| 1880 |
config: de
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split: test
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| 1882 |
metrics:
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| 1883 |
- type: accuracy
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| 1884 |
value: 44.1661062542031
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@@ -1891,6 +1951,7 @@ model-index:
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| 1891 |
name: MTEB MassiveIntentClassification (el)
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| 1892 |
config: el
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| 1893 |
split: test
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| 1894 |
metrics:
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| 1895 |
- type: accuracy
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| 1896 |
value: 28.698722259583054
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@@ -1903,6 +1964,7 @@ model-index:
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| 1903 |
name: MTEB MassiveIntentClassification (en)
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| 1904 |
config: en
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| 1905 |
split: test
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| 1906 |
metrics:
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| 1907 |
- type: accuracy
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| 1908 |
value: 67.14862138533961
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@@ -1915,6 +1977,7 @@ model-index:
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| 1915 |
name: MTEB MassiveIntentClassification (es)
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| 1916 |
config: es
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| 1917 |
split: test
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| 1918 |
metrics:
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| 1919 |
- type: accuracy
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| 1920 |
value: 40.907868190988566
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@@ -1927,6 +1990,7 @@ model-index:
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| 1927 |
name: MTEB MassiveIntentClassification (fa)
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| 1928 |
config: fa
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| 1929 |
split: test
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| 1930 |
metrics:
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| 1931 |
- type: accuracy
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| 1932 |
value: 23.517148621385342
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@@ -1939,6 +2003,7 @@ model-index:
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| 1939 |
name: MTEB MassiveIntentClassification (fi)
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| 1940 |
config: fi
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| 1941 |
split: test
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| 1942 |
metrics:
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| 1943 |
- type: accuracy
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| 1944 |
value: 39.27370544720915
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@@ -1951,6 +2016,7 @@ model-index:
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| 1951 |
name: MTEB MassiveIntentClassification (fr)
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| 1952 |
config: fr
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| 1953 |
split: test
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| 1954 |
metrics:
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| 1955 |
- type: accuracy
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| 1956 |
value: 44.81506388702085
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@@ -1963,6 +2029,7 @@ model-index:
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| 1963 |
name: MTEB MassiveIntentClassification (he)
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| 1964 |
config: he
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| 1965 |
split: test
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| 1966 |
metrics:
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| 1967 |
- type: accuracy
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| 1968 |
value: 23.648285137861468
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@@ -1975,6 +2042,7 @@ model-index:
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| 1975 |
name: MTEB MassiveIntentClassification (hi)
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| 1976 |
config: hi
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| 1977 |
split: test
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| 1978 |
metrics:
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| 1979 |
- type: accuracy
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| 1980 |
value: 17.97579018157364
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@@ -1987,6 +2055,7 @@ model-index:
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| 1987 |
name: MTEB MassiveIntentClassification (hu)
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| 1988 |
config: hu
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| 1989 |
split: test
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| 1990 |
metrics:
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| 1991 |
- type: accuracy
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| 1992 |
value: 37.995965030262276
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@@ -1999,6 +2068,7 @@ model-index:
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| 1999 |
name: MTEB MassiveIntentClassification (hy)
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| 2000 |
config: hy
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| 2001 |
split: test
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| 2002 |
metrics:
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| 2003 |
- type: accuracy
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| 2004 |
value: 8.691997310020176
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@@ -2011,6 +2081,7 @@ model-index:
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| 2011 |
name: MTEB MassiveIntentClassification (id)
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| 2012 |
config: id
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| 2013 |
split: test
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| 2014 |
metrics:
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| 2015 |
- type: accuracy
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| 2016 |
value: 39.66039004707465
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@@ -2023,6 +2094,7 @@ model-index:
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| 2023 |
name: MTEB MassiveIntentClassification (is)
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| 2024 |
config: is
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| 2025 |
split: test
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| 2026 |
metrics:
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| 2027 |
- type: accuracy
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| 2028 |
value: 35.141223940820446
|
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@@ -2035,6 +2107,7 @@ model-index:
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| 2035 |
name: MTEB MassiveIntentClassification (it)
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| 2036 |
config: it
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| 2037 |
split: test
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| 2038 |
metrics:
|
| 2039 |
- type: accuracy
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| 2040 |
value: 43.17081371889711
|
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@@ -2047,6 +2120,7 @@ model-index:
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| 2047 |
name: MTEB MassiveIntentClassification (ja)
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| 2048 |
config: ja
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| 2049 |
split: test
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|
| 2050 |
metrics:
|
| 2051 |
- type: accuracy
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| 2052 |
value: 30.944855413584392
|
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@@ -2059,6 +2133,7 @@ model-index:
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| 2059 |
name: MTEB MassiveIntentClassification (jv)
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| 2060 |
config: jv
|
| 2061 |
split: test
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| 2062 |
metrics:
|
| 2063 |
- type: accuracy
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| 2064 |
value: 36.69468728984533
|
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@@ -2071,6 +2146,7 @@ model-index:
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| 2071 |
name: MTEB MassiveIntentClassification (ka)
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| 2072 |
config: ka
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| 2073 |
split: test
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| 2074 |
metrics:
|
| 2075 |
- type: accuracy
|
| 2076 |
value: 9.169468728984533
|
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@@ -2083,6 +2159,7 @@ model-index:
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| 2083 |
name: MTEB MassiveIntentClassification (km)
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| 2084 |
config: km
|
| 2085 |
split: test
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|
| 2086 |
metrics:
|
| 2087 |
- type: accuracy
|
| 2088 |
value: 4.986550100874243
|
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@@ -2095,6 +2172,7 @@ model-index:
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| 2095 |
name: MTEB MassiveIntentClassification (kn)
|
| 2096 |
config: kn
|
| 2097 |
split: test
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|
| 2098 |
metrics:
|
| 2099 |
- type: accuracy
|
| 2100 |
value: 3.0766644250168125
|
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@@ -2107,6 +2185,7 @@ model-index:
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| 2107 |
name: MTEB MassiveIntentClassification (ko)
|
| 2108 |
config: ko
|
| 2109 |
split: test
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|
| 2110 |
metrics:
|
| 2111 |
- type: accuracy
|
| 2112 |
value: 19.966375252185607
|
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@@ -2119,6 +2198,7 @@ model-index:
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| 2119 |
name: MTEB MassiveIntentClassification (lv)
|
| 2120 |
config: lv
|
| 2121 |
split: test
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|
| 2122 |
metrics:
|
| 2123 |
- type: accuracy
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| 2124 |
value: 38.61129791526564
|
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@@ -2131,6 +2211,7 @@ model-index:
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| 2131 |
name: MTEB MassiveIntentClassification (ml)
|
| 2132 |
config: ml
|
| 2133 |
split: test
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|
| 2134 |
metrics:
|
| 2135 |
- type: accuracy
|
| 2136 |
value: 2.85137861466039
|
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@@ -2143,6 +2224,7 @@ model-index:
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| 2143 |
name: MTEB MassiveIntentClassification (mn)
|
| 2144 |
config: mn
|
| 2145 |
split: test
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|
| 2146 |
metrics:
|
| 2147 |
- type: accuracy
|
| 2148 |
value: 23.24815063887021
|
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@@ -2155,6 +2237,7 @@ model-index:
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| 2155 |
name: MTEB MassiveIntentClassification (ms)
|
| 2156 |
config: ms
|
| 2157 |
split: test
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|
| 2158 |
metrics:
|
| 2159 |
- type: accuracy
|
| 2160 |
value: 36.21385339609952
|
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@@ -2167,6 +2250,7 @@ model-index:
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| 2167 |
name: MTEB MassiveIntentClassification (my)
|
| 2168 |
config: my
|
| 2169 |
split: test
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|
| 2170 |
metrics:
|
| 2171 |
- type: accuracy
|
| 2172 |
value: 4.381304640215198
|
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@@ -2179,6 +2263,7 @@ model-index:
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| 2179 |
name: MTEB MassiveIntentClassification (nb)
|
| 2180 |
config: nb
|
| 2181 |
split: test
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|
|
|
| 2182 |
metrics:
|
| 2183 |
- type: accuracy
|
| 2184 |
value: 41.91324815063887
|
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@@ -2191,6 +2276,7 @@ model-index:
|
|
| 2191 |
name: MTEB MassiveIntentClassification (nl)
|
| 2192 |
config: nl
|
| 2193 |
split: test
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|
|
|
| 2194 |
metrics:
|
| 2195 |
- type: accuracy
|
| 2196 |
value: 41.85272360457296
|
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@@ -2203,6 +2289,7 @@ model-index:
|
|
| 2203 |
name: MTEB MassiveIntentClassification (pl)
|
| 2204 |
config: pl
|
| 2205 |
split: test
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|
|
|
| 2206 |
metrics:
|
| 2207 |
- type: accuracy
|
| 2208 |
value: 37.632817753866846
|
|
@@ -2215,6 +2302,7 @@ model-index:
|
|
| 2215 |
name: MTEB MassiveIntentClassification (pt)
|
| 2216 |
config: pt
|
| 2217 |
split: test
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|
|
|
| 2218 |
metrics:
|
| 2219 |
- type: accuracy
|
| 2220 |
value: 45.12104909213182
|
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@@ -2227,6 +2315,7 @@ model-index:
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|
| 2227 |
name: MTEB MassiveIntentClassification (ro)
|
| 2228 |
config: ro
|
| 2229 |
split: test
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|
|
|
| 2230 |
metrics:
|
| 2231 |
- type: accuracy
|
| 2232 |
value: 41.71486213853396
|
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@@ -2239,6 +2328,7 @@ model-index:
|
|
| 2239 |
name: MTEB MassiveIntentClassification (ru)
|
| 2240 |
config: ru
|
| 2241 |
split: test
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|
|
|
| 2242 |
metrics:
|
| 2243 |
- type: accuracy
|
| 2244 |
value: 26.3315400134499
|
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@@ -2251,6 +2341,7 @@ model-index:
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|
| 2251 |
name: MTEB MassiveIntentClassification (sl)
|
| 2252 |
config: sl
|
| 2253 |
split: test
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|
|
|
| 2254 |
metrics:
|
| 2255 |
- type: accuracy
|
| 2256 |
value: 38.52051109616678
|
|
@@ -2263,6 +2354,7 @@ model-index:
|
|
| 2263 |
name: MTEB MassiveIntentClassification (sq)
|
| 2264 |
config: sq
|
| 2265 |
split: test
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|
|
|
| 2266 |
metrics:
|
| 2267 |
- type: accuracy
|
| 2268 |
value: 41.62071284465367
|
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@@ -2275,6 +2367,7 @@ model-index:
|
|
| 2275 |
name: MTEB MassiveIntentClassification (sv)
|
| 2276 |
config: sv
|
| 2277 |
split: test
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|
|
|
| 2278 |
metrics:
|
| 2279 |
- type: accuracy
|
| 2280 |
value: 40.416946872898464
|
|
@@ -2287,6 +2380,7 @@ model-index:
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|
| 2287 |
name: MTEB MassiveIntentClassification (sw)
|
| 2288 |
config: sw
|
| 2289 |
split: test
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|
|
|
| 2290 |
metrics:
|
| 2291 |
- type: accuracy
|
| 2292 |
value: 35.27908540685945
|
|
@@ -2299,6 +2393,7 @@ model-index:
|
|
| 2299 |
name: MTEB MassiveIntentClassification (ta)
|
| 2300 |
config: ta
|
| 2301 |
split: test
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|
|
|
| 2302 |
metrics:
|
| 2303 |
- type: accuracy
|
| 2304 |
value: 13.096839273705447
|
|
@@ -2311,6 +2406,7 @@ model-index:
|
|
| 2311 |
name: MTEB MassiveIntentClassification (te)
|
| 2312 |
config: te
|
| 2313 |
split: test
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|
|
|
| 2314 |
metrics:
|
| 2315 |
- type: accuracy
|
| 2316 |
value: 2.5622057834566236
|
|
@@ -2323,6 +2419,7 @@ model-index:
|
|
| 2323 |
name: MTEB MassiveIntentClassification (th)
|
| 2324 |
config: th
|
| 2325 |
split: test
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|
|
|
| 2326 |
metrics:
|
| 2327 |
- type: accuracy
|
| 2328 |
value: 10.537995965030262
|
|
@@ -2335,6 +2432,7 @@ model-index:
|
|
| 2335 |
name: MTEB MassiveIntentClassification (tl)
|
| 2336 |
config: tl
|
| 2337 |
split: test
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|
|
|
| 2338 |
metrics:
|
| 2339 |
- type: accuracy
|
| 2340 |
value: 38.56086079354405
|
|
@@ -2347,6 +2445,7 @@ model-index:
|
|
| 2347 |
name: MTEB MassiveIntentClassification (tr)
|
| 2348 |
config: tr
|
| 2349 |
split: test
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|
|
|
| 2350 |
metrics:
|
| 2351 |
- type: accuracy
|
| 2352 |
value: 35.897780766644246
|
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@@ -2359,6 +2458,7 @@ model-index:
|
|
| 2359 |
name: MTEB MassiveIntentClassification (ur)
|
| 2360 |
config: ur
|
| 2361 |
split: test
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|
|
|
| 2362 |
metrics:
|
| 2363 |
- type: accuracy
|
| 2364 |
value: 16.1768661735037
|
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@@ -2371,6 +2471,7 @@ model-index:
|
|
| 2371 |
name: MTEB MassiveIntentClassification (vi)
|
| 2372 |
config: vi
|
| 2373 |
split: test
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|
|
|
| 2374 |
metrics:
|
| 2375 |
- type: accuracy
|
| 2376 |
value: 37.37726967047747
|
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@@ -2383,6 +2484,7 @@ model-index:
|
|
| 2383 |
name: MTEB MassiveIntentClassification (zh-CN)
|
| 2384 |
config: zh-CN
|
| 2385 |
split: test
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|
|
|
| 2386 |
metrics:
|
| 2387 |
- type: accuracy
|
| 2388 |
value: 23.74243443174176
|
|
@@ -2395,6 +2497,7 @@ model-index:
|
|
| 2395 |
name: MTEB MassiveIntentClassification (zh-TW)
|
| 2396 |
config: zh-TW
|
| 2397 |
split: test
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|
|
|
| 2398 |
metrics:
|
| 2399 |
- type: accuracy
|
| 2400 |
value: 22.387357094821787
|
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@@ -2407,6 +2510,7 @@ model-index:
|
|
| 2407 |
name: MTEB MassiveScenarioClassification (af)
|
| 2408 |
config: af
|
| 2409 |
split: test
|
|
|
|
| 2410 |
metrics:
|
| 2411 |
- type: accuracy
|
| 2412 |
value: 45.709482178883654
|
|
@@ -2419,6 +2523,7 @@ model-index:
|
|
| 2419 |
name: MTEB MassiveScenarioClassification (am)
|
| 2420 |
config: am
|
| 2421 |
split: test
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|
|
|
| 2422 |
metrics:
|
| 2423 |
- type: accuracy
|
| 2424 |
value: 7.407531943510423
|
|
@@ -2431,6 +2536,7 @@ model-index:
|
|
| 2431 |
name: MTEB MassiveScenarioClassification (ar)
|
| 2432 |
config: ar
|
| 2433 |
split: test
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|
|
|
| 2434 |
metrics:
|
| 2435 |
- type: accuracy
|
| 2436 |
value: 27.61936785474109
|
|
@@ -2443,6 +2549,7 @@ model-index:
|
|
| 2443 |
name: MTEB MassiveScenarioClassification (az)
|
| 2444 |
config: az
|
| 2445 |
split: test
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|
|
|
| 2446 |
metrics:
|
| 2447 |
- type: accuracy
|
| 2448 |
value: 39.57969065232011
|
|
@@ -2455,6 +2562,7 @@ model-index:
|
|
| 2455 |
name: MTEB MassiveScenarioClassification (bn)
|
| 2456 |
config: bn
|
| 2457 |
split: test
|
|
|
|
| 2458 |
metrics:
|
| 2459 |
- type: accuracy
|
| 2460 |
value: 18.9778076664425
|
|
@@ -2467,6 +2575,7 @@ model-index:
|
|
| 2467 |
name: MTEB MassiveScenarioClassification (cy)
|
| 2468 |
config: cy
|
| 2469 |
split: test
|
|
|
|
| 2470 |
metrics:
|
| 2471 |
- type: accuracy
|
| 2472 |
value: 41.40215198386012
|
|
@@ -2479,6 +2588,7 @@ model-index:
|
|
| 2479 |
name: MTEB MassiveScenarioClassification (da)
|
| 2480 |
config: da
|
| 2481 |
split: test
|
|
|
|
| 2482 |
metrics:
|
| 2483 |
- type: accuracy
|
| 2484 |
value: 49.46872898453262
|
|
@@ -2491,6 +2601,7 @@ model-index:
|
|
| 2491 |
name: MTEB MassiveScenarioClassification (de)
|
| 2492 |
config: de
|
| 2493 |
split: test
|
|
|
|
| 2494 |
metrics:
|
| 2495 |
- type: accuracy
|
| 2496 |
value: 52.07128446536652
|
|
@@ -2503,6 +2614,7 @@ model-index:
|
|
| 2503 |
name: MTEB MassiveScenarioClassification (el)
|
| 2504 |
config: el
|
| 2505 |
split: test
|
|
|
|
| 2506 |
metrics:
|
| 2507 |
- type: accuracy
|
| 2508 |
value: 35.50773369199731
|
|
@@ -2515,6 +2627,7 @@ model-index:
|
|
| 2515 |
name: MTEB MassiveScenarioClassification (en)
|
| 2516 |
config: en
|
| 2517 |
split: test
|
|
|
|
| 2518 |
metrics:
|
| 2519 |
- type: accuracy
|
| 2520 |
value: 74.57632817753867
|
|
@@ -2527,6 +2640,7 @@ model-index:
|
|
| 2527 |
name: MTEB MassiveScenarioClassification (es)
|
| 2528 |
config: es
|
| 2529 |
split: test
|
|
|
|
| 2530 |
metrics:
|
| 2531 |
- type: accuracy
|
| 2532 |
value: 50.743106926698054
|
|
@@ -2539,6 +2653,7 @@ model-index:
|
|
| 2539 |
name: MTEB MassiveScenarioClassification (fa)
|
| 2540 |
config: fa
|
| 2541 |
split: test
|
|
|
|
| 2542 |
metrics:
|
| 2543 |
- type: accuracy
|
| 2544 |
value: 29.004707464694015
|
|
@@ -2551,6 +2666,7 @@ model-index:
|
|
| 2551 |
name: MTEB MassiveScenarioClassification (fi)
|
| 2552 |
config: fi
|
| 2553 |
split: test
|
|
|
|
| 2554 |
metrics:
|
| 2555 |
- type: accuracy
|
| 2556 |
value: 45.80026899798252
|
|
@@ -2563,6 +2679,7 @@ model-index:
|
|
| 2563 |
name: MTEB MassiveScenarioClassification (fr)
|
| 2564 |
config: fr
|
| 2565 |
split: test
|
|
|
|
| 2566 |
metrics:
|
| 2567 |
- type: accuracy
|
| 2568 |
value: 53.7626092804304
|
|
@@ -2575,6 +2692,7 @@ model-index:
|
|
| 2575 |
name: MTEB MassiveScenarioClassification (he)
|
| 2576 |
config: he
|
| 2577 |
split: test
|
|
|
|
| 2578 |
metrics:
|
| 2579 |
- type: accuracy
|
| 2580 |
value: 25.682582380632148
|
|
@@ -2587,6 +2705,7 @@ model-index:
|
|
| 2587 |
name: MTEB MassiveScenarioClassification (hi)
|
| 2588 |
config: hi
|
| 2589 |
split: test
|
|
|
|
| 2590 |
metrics:
|
| 2591 |
- type: accuracy
|
| 2592 |
value: 23.022864828513782
|
|
@@ -2599,6 +2718,7 @@ model-index:
|
|
| 2599 |
name: MTEB MassiveScenarioClassification (hu)
|
| 2600 |
config: hu
|
| 2601 |
split: test
|
|
|
|
| 2602 |
metrics:
|
| 2603 |
- type: accuracy
|
| 2604 |
value: 44.08540685944856
|
|
@@ -2611,6 +2731,7 @@ model-index:
|
|
| 2611 |
name: MTEB MassiveScenarioClassification (hy)
|
| 2612 |
config: hy
|
| 2613 |
split: test
|
|
|
|
| 2614 |
metrics:
|
| 2615 |
- type: accuracy
|
| 2616 |
value: 14.83187626092804
|
|
@@ -2623,6 +2744,7 @@ model-index:
|
|
| 2623 |
name: MTEB MassiveScenarioClassification (id)
|
| 2624 |
config: id
|
| 2625 |
split: test
|
|
|
|
| 2626 |
metrics:
|
| 2627 |
- type: accuracy
|
| 2628 |
value: 44.34767989240081
|
|
@@ -2635,6 +2757,7 @@ model-index:
|
|
| 2635 |
name: MTEB MassiveScenarioClassification (is)
|
| 2636 |
config: is
|
| 2637 |
split: test
|
|
|
|
| 2638 |
metrics:
|
| 2639 |
- type: accuracy
|
| 2640 |
value: 43.08002689979825
|
|
@@ -2647,6 +2770,7 @@ model-index:
|
|
| 2647 |
name: MTEB MassiveScenarioClassification (it)
|
| 2648 |
config: it
|
| 2649 |
split: test
|
|
|
|
| 2650 |
metrics:
|
| 2651 |
- type: accuracy
|
| 2652 |
value: 51.71486213853396
|
|
@@ -2659,6 +2783,7 @@ model-index:
|
|
| 2659 |
name: MTEB MassiveScenarioClassification (ja)
|
| 2660 |
config: ja
|
| 2661 |
split: test
|
|
|
|
| 2662 |
metrics:
|
| 2663 |
- type: accuracy
|
| 2664 |
value: 36.748486886348346
|
|
@@ -2671,6 +2796,7 @@ model-index:
|
|
| 2671 |
name: MTEB MassiveScenarioClassification (jv)
|
| 2672 |
config: jv
|
| 2673 |
split: test
|
|
|
|
| 2674 |
metrics:
|
| 2675 |
- type: accuracy
|
| 2676 |
value: 44.56624075319435
|
|
@@ -2683,6 +2809,7 @@ model-index:
|
|
| 2683 |
name: MTEB MassiveScenarioClassification (ka)
|
| 2684 |
config: ka
|
| 2685 |
split: test
|
|
|
|
| 2686 |
metrics:
|
| 2687 |
- type: accuracy
|
| 2688 |
value: 14.83523873570948
|
|
@@ -2695,6 +2822,7 @@ model-index:
|
|
| 2695 |
name: MTEB MassiveScenarioClassification (km)
|
| 2696 |
config: km
|
| 2697 |
split: test
|
|
|
|
| 2698 |
metrics:
|
| 2699 |
- type: accuracy
|
| 2700 |
value: 9.754539340954944
|
|
@@ -2707,6 +2835,7 @@ model-index:
|
|
| 2707 |
name: MTEB MassiveScenarioClassification (kn)
|
| 2708 |
config: kn
|
| 2709 |
split: test
|
|
|
|
| 2710 |
metrics:
|
| 2711 |
- type: accuracy
|
| 2712 |
value: 8.315400134498994
|
|
@@ -2719,6 +2848,7 @@ model-index:
|
|
| 2719 |
name: MTEB MassiveScenarioClassification (ko)
|
| 2720 |
config: ko
|
| 2721 |
split: test
|
|
|
|
| 2722 |
metrics:
|
| 2723 |
- type: accuracy
|
| 2724 |
value: 25.719569603227978
|
|
@@ -2731,6 +2861,7 @@ model-index:
|
|
| 2731 |
name: MTEB MassiveScenarioClassification (lv)
|
| 2732 |
config: lv
|
| 2733 |
split: test
|
|
|
|
| 2734 |
metrics:
|
| 2735 |
- type: accuracy
|
| 2736 |
value: 42.74714189643578
|
|
@@ -2743,6 +2874,7 @@ model-index:
|
|
| 2743 |
name: MTEB MassiveScenarioClassification (ml)
|
| 2744 |
config: ml
|
| 2745 |
split: test
|
|
|
|
| 2746 |
metrics:
|
| 2747 |
- type: accuracy
|
| 2748 |
value: 7.252858103564222
|
|
@@ -2755,6 +2887,7 @@ model-index:
|
|
| 2755 |
name: MTEB MassiveScenarioClassification (mn)
|
| 2756 |
config: mn
|
| 2757 |
split: test
|
|
|
|
| 2758 |
metrics:
|
| 2759 |
- type: accuracy
|
| 2760 |
value: 29.034969737726968
|
|
@@ -2767,6 +2900,7 @@ model-index:
|
|
| 2767 |
name: MTEB MassiveScenarioClassification (ms)
|
| 2768 |
config: ms
|
| 2769 |
split: test
|
|
|
|
| 2770 |
metrics:
|
| 2771 |
- type: accuracy
|
| 2772 |
value: 44.64694014794889
|
|
@@ -2779,6 +2913,7 @@ model-index:
|
|
| 2779 |
name: MTEB MassiveScenarioClassification (my)
|
| 2780 |
config: my
|
| 2781 |
split: test
|
|
|
|
| 2782 |
metrics:
|
| 2783 |
- type: accuracy
|
| 2784 |
value: 10.067249495628783
|
|
@@ -2791,6 +2926,7 @@ model-index:
|
|
| 2791 |
name: MTEB MassiveScenarioClassification (nb)
|
| 2792 |
config: nb
|
| 2793 |
split: test
|
|
|
|
| 2794 |
metrics:
|
| 2795 |
- type: accuracy
|
| 2796 |
value: 47.357094821788834
|
|
@@ -2803,6 +2939,7 @@ model-index:
|
|
| 2803 |
name: MTEB MassiveScenarioClassification (nl)
|
| 2804 |
config: nl
|
| 2805 |
split: test
|
|
|
|
| 2806 |
metrics:
|
| 2807 |
- type: accuracy
|
| 2808 |
value: 49.15265635507734
|
|
@@ -2815,6 +2952,7 @@ model-index:
|
|
| 2815 |
name: MTEB MassiveScenarioClassification (pl)
|
| 2816 |
config: pl
|
| 2817 |
split: test
|
|
|
|
| 2818 |
metrics:
|
| 2819 |
- type: accuracy
|
| 2820 |
value: 44.72091459314056
|
|
@@ -2827,6 +2965,7 @@ model-index:
|
|
| 2827 |
name: MTEB MassiveScenarioClassification (pt)
|
| 2828 |
config: pt
|
| 2829 |
split: test
|
|
|
|
| 2830 |
metrics:
|
| 2831 |
- type: accuracy
|
| 2832 |
value: 52.99932750504372
|
|
@@ -2839,6 +2978,7 @@ model-index:
|
|
| 2839 |
name: MTEB MassiveScenarioClassification (ro)
|
| 2840 |
config: ro
|
| 2841 |
split: test
|
|
|
|
| 2842 |
metrics:
|
| 2843 |
- type: accuracy
|
| 2844 |
value: 49.97310020174849
|
|
@@ -2851,6 +2991,7 @@ model-index:
|
|
| 2851 |
name: MTEB MassiveScenarioClassification (ru)
|
| 2852 |
config: ru
|
| 2853 |
split: test
|
|
|
|
| 2854 |
metrics:
|
| 2855 |
- type: accuracy
|
| 2856 |
value: 28.74915938130464
|
|
@@ -2863,6 +3004,7 @@ model-index:
|
|
| 2863 |
name: MTEB MassiveScenarioClassification (sl)
|
| 2864 |
config: sl
|
| 2865 |
split: test
|
|
|
|
| 2866 |
metrics:
|
| 2867 |
- type: accuracy
|
| 2868 |
value: 42.2595830531271
|
|
@@ -2875,6 +3017,7 @@ model-index:
|
|
| 2875 |
name: MTEB MassiveScenarioClassification (sq)
|
| 2876 |
config: sq
|
| 2877 |
split: test
|
|
|
|
| 2878 |
metrics:
|
| 2879 |
- type: accuracy
|
| 2880 |
value: 49.13584398117014
|
|
@@ -2887,6 +3030,7 @@ model-index:
|
|
| 2887 |
name: MTEB MassiveScenarioClassification (sv)
|
| 2888 |
config: sv
|
| 2889 |
split: test
|
|
|
|
| 2890 |
metrics:
|
| 2891 |
- type: accuracy
|
| 2892 |
value: 46.82582380632145
|
|
@@ -2899,6 +3043,7 @@ model-index:
|
|
| 2899 |
name: MTEB MassiveScenarioClassification (sw)
|
| 2900 |
config: sw
|
| 2901 |
split: test
|
|
|
|
| 2902 |
metrics:
|
| 2903 |
- type: accuracy
|
| 2904 |
value: 43.18426361802287
|
|
@@ -2911,6 +3056,7 @@ model-index:
|
|
| 2911 |
name: MTEB MassiveScenarioClassification (ta)
|
| 2912 |
config: ta
|
| 2913 |
split: test
|
|
|
|
| 2914 |
metrics:
|
| 2915 |
- type: accuracy
|
| 2916 |
value: 19.3813046402152
|
|
@@ -2923,6 +3069,7 @@ model-index:
|
|
| 2923 |
name: MTEB MassiveScenarioClassification (te)
|
| 2924 |
config: te
|
| 2925 |
split: test
|
|
|
|
| 2926 |
metrics:
|
| 2927 |
- type: accuracy
|
| 2928 |
value: 7.737054472091459
|
|
@@ -2935,6 +3082,7 @@ model-index:
|
|
| 2935 |
name: MTEB MassiveScenarioClassification (th)
|
| 2936 |
config: th
|
| 2937 |
split: test
|
|
|
|
| 2938 |
metrics:
|
| 2939 |
- type: accuracy
|
| 2940 |
value: 18.31540013449899
|
|
@@ -2947,6 +3095,7 @@ model-index:
|
|
| 2947 |
name: MTEB MassiveScenarioClassification (tl)
|
| 2948 |
config: tl
|
| 2949 |
split: test
|
|
|
|
| 2950 |
metrics:
|
| 2951 |
- type: accuracy
|
| 2952 |
value: 48.305312710154666
|
|
@@ -2959,6 +3108,7 @@ model-index:
|
|
| 2959 |
name: MTEB MassiveScenarioClassification (tr)
|
| 2960 |
config: tr
|
| 2961 |
split: test
|
|
|
|
| 2962 |
metrics:
|
| 2963 |
- type: accuracy
|
| 2964 |
value: 41.792199058507066
|
|
@@ -2971,6 +3121,7 @@ model-index:
|
|
| 2971 |
name: MTEB MassiveScenarioClassification (ur)
|
| 2972 |
config: ur
|
| 2973 |
split: test
|
|
|
|
| 2974 |
metrics:
|
| 2975 |
- type: accuracy
|
| 2976 |
value: 24.462004034969738
|
|
@@ -2983,6 +3134,7 @@ model-index:
|
|
| 2983 |
name: MTEB MassiveScenarioClassification (vi)
|
| 2984 |
config: vi
|
| 2985 |
split: test
|
|
|
|
| 2986 |
metrics:
|
| 2987 |
- type: accuracy
|
| 2988 |
value: 40.94149293880296
|
|
@@ -2995,6 +3147,7 @@ model-index:
|
|
| 2995 |
name: MTEB MassiveScenarioClassification (zh-CN)
|
| 2996 |
config: zh-CN
|
| 2997 |
split: test
|
|
|
|
| 2998 |
metrics:
|
| 2999 |
- type: accuracy
|
| 3000 |
value: 33.17753866845998
|
|
@@ -3007,6 +3160,7 @@ model-index:
|
|
| 3007 |
name: MTEB MassiveScenarioClassification (zh-TW)
|
| 3008 |
config: zh-TW
|
| 3009 |
split: test
|
|
|
|
| 3010 |
metrics:
|
| 3011 |
- type: accuracy
|
| 3012 |
value: 31.15669132481506
|
|
@@ -3019,6 +3173,7 @@ model-index:
|
|
| 3019 |
name: MTEB MedrxivClusteringP2P
|
| 3020 |
config: default
|
| 3021 |
split: test
|
|
|
|
| 3022 |
metrics:
|
| 3023 |
- type: v_measure
|
| 3024 |
value: 34.24621118290122
|
|
@@ -3029,6 +3184,7 @@ model-index:
|
|
| 3029 |
name: MTEB MedrxivClusteringS2S
|
| 3030 |
config: default
|
| 3031 |
split: test
|
|
|
|
| 3032 |
metrics:
|
| 3033 |
- type: v_measure
|
| 3034 |
value: 32.24202424478886
|
|
@@ -3039,6 +3195,7 @@ model-index:
|
|
| 3039 |
name: MTEB MindSmallReranking
|
| 3040 |
config: default
|
| 3041 |
split: test
|
|
|
|
| 3042 |
metrics:
|
| 3043 |
- type: map
|
| 3044 |
value: 31.024522945679166
|
|
@@ -3051,6 +3208,7 @@ model-index:
|
|
| 3051 |
name: MTEB NFCorpus
|
| 3052 |
config: default
|
| 3053 |
split: test
|
|
|
|
| 3054 |
metrics:
|
| 3055 |
- type: map_at_1
|
| 3056 |
value: 5.156000000000001
|
|
@@ -3119,6 +3277,7 @@ model-index:
|
|
| 3119 |
name: MTEB NQ
|
| 3120 |
config: default
|
| 3121 |
split: test
|
|
|
|
| 3122 |
metrics:
|
| 3123 |
- type: map_at_1
|
| 3124 |
value: 23.672
|
|
@@ -3187,6 +3346,7 @@ model-index:
|
|
| 3187 |
name: MTEB QuoraRetrieval
|
| 3188 |
config: default
|
| 3189 |
split: test
|
|
|
|
| 3190 |
metrics:
|
| 3191 |
- type: map_at_1
|
| 3192 |
value: 69.667
|
|
@@ -3255,6 +3415,7 @@ model-index:
|
|
| 3255 |
name: MTEB RedditClustering
|
| 3256 |
config: default
|
| 3257 |
split: test
|
|
|
|
| 3258 |
metrics:
|
| 3259 |
- type: v_measure
|
| 3260 |
value: 51.177545122684634
|
|
@@ -3265,6 +3426,7 @@ model-index:
|
|
| 3265 |
name: MTEB RedditClusteringP2P
|
| 3266 |
config: default
|
| 3267 |
split: test
|
|
|
|
| 3268 |
metrics:
|
| 3269 |
- type: v_measure
|
| 3270 |
value: 54.804652123126985
|
|
@@ -3275,6 +3437,7 @@ model-index:
|
|
| 3275 |
name: MTEB SCIDOCS
|
| 3276 |
config: default
|
| 3277 |
split: test
|
|
|
|
| 3278 |
metrics:
|
| 3279 |
- type: map_at_1
|
| 3280 |
value: 5.162
|
|
@@ -3343,6 +3506,7 @@ model-index:
|
|
| 3343 |
name: MTEB SICK-R
|
| 3344 |
config: default
|
| 3345 |
split: test
|
|
|
|
| 3346 |
metrics:
|
| 3347 |
- type: cos_sim_pearson
|
| 3348 |
value: 84.73414727754201
|
|
@@ -3363,6 +3527,7 @@ model-index:
|
|
| 3363 |
name: MTEB STS12
|
| 3364 |
config: default
|
| 3365 |
split: test
|
|
|
|
| 3366 |
metrics:
|
| 3367 |
- type: cos_sim_pearson
|
| 3368 |
value: 82.89241604274538
|
|
@@ -3383,6 +3548,7 @@ model-index:
|
|
| 3383 |
name: MTEB STS13
|
| 3384 |
config: default
|
| 3385 |
split: test
|
|
|
|
| 3386 |
metrics:
|
| 3387 |
- type: cos_sim_pearson
|
| 3388 |
value: 81.65439991719452
|
|
@@ -3403,6 +3569,7 @@ model-index:
|
|
| 3403 |
name: MTEB STS14
|
| 3404 |
config: default
|
| 3405 |
split: test
|
|
|
|
| 3406 |
metrics:
|
| 3407 |
- type: cos_sim_pearson
|
| 3408 |
value: 81.66945263546415
|
|
@@ -3423,6 +3590,7 @@ model-index:
|
|
| 3423 |
name: MTEB STS15
|
| 3424 |
config: default
|
| 3425 |
split: test
|
|
|
|
| 3426 |
metrics:
|
| 3427 |
- type: cos_sim_pearson
|
| 3428 |
value: 84.80085528616004
|
|
@@ -3443,6 +3611,7 @@ model-index:
|
|
| 3443 |
name: MTEB STS16
|
| 3444 |
config: default
|
| 3445 |
split: test
|
|
|
|
| 3446 |
metrics:
|
| 3447 |
- type: cos_sim_pearson
|
| 3448 |
value: 79.32666585707851
|
|
@@ -3463,6 +3632,7 @@ model-index:
|
|
| 3463 |
name: MTEB STS17 (ko-ko)
|
| 3464 |
config: ko-ko
|
| 3465 |
split: test
|
|
|
|
| 3466 |
metrics:
|
| 3467 |
- type: cos_sim_pearson
|
| 3468 |
value: 36.97351108396674
|
|
@@ -3483,6 +3653,7 @@ model-index:
|
|
| 3483 |
name: MTEB STS17 (ar-ar)
|
| 3484 |
config: ar-ar
|
| 3485 |
split: test
|
|
|
|
| 3486 |
metrics:
|
| 3487 |
- type: cos_sim_pearson
|
| 3488 |
value: 54.25766812232355
|
|
@@ -3503,6 +3674,7 @@ model-index:
|
|
| 3503 |
name: MTEB STS17 (en-ar)
|
| 3504 |
config: en-ar
|
| 3505 |
split: test
|
|
|
|
| 3506 |
metrics:
|
| 3507 |
- type: cos_sim_pearson
|
| 3508 |
value: 2.000902150291317
|
|
@@ -3523,6 +3695,7 @@ model-index:
|
|
| 3523 |
name: MTEB STS17 (en-de)
|
| 3524 |
config: en-de
|
| 3525 |
split: test
|
|
|
|
| 3526 |
metrics:
|
| 3527 |
- type: cos_sim_pearson
|
| 3528 |
value: 31.103076250241756
|
|
@@ -3543,6 +3716,7 @@ model-index:
|
|
| 3543 |
name: MTEB STS17 (en-en)
|
| 3544 |
config: en-en
|
| 3545 |
split: test
|
|
|
|
| 3546 |
metrics:
|
| 3547 |
- type: cos_sim_pearson
|
| 3548 |
value: 88.92662843843466
|
|
@@ -3563,6 +3737,7 @@ model-index:
|
|
| 3563 |
name: MTEB STS17 (en-tr)
|
| 3564 |
config: en-tr
|
| 3565 |
split: test
|
|
|
|
| 3566 |
metrics:
|
| 3567 |
- type: cos_sim_pearson
|
| 3568 |
value: 6.699439791440673
|
|
@@ -3583,6 +3758,7 @@ model-index:
|
|
| 3583 |
name: MTEB STS17 (es-en)
|
| 3584 |
config: es-en
|
| 3585 |
split: test
|
|
|
|
| 3586 |
metrics:
|
| 3587 |
- type: cos_sim_pearson
|
| 3588 |
value: 22.332768127048812
|
|
@@ -3603,6 +3779,7 @@ model-index:
|
|
| 3603 |
name: MTEB STS17 (es-es)
|
| 3604 |
config: es-es
|
| 3605 |
split: test
|
|
|
|
| 3606 |
metrics:
|
| 3607 |
- type: cos_sim_pearson
|
| 3608 |
value: 78.59529102081041
|
|
@@ -3623,6 +3800,7 @@ model-index:
|
|
| 3623 |
name: MTEB STS17 (fr-en)
|
| 3624 |
config: fr-en
|
| 3625 |
split: test
|
|
|
|
| 3626 |
metrics:
|
| 3627 |
- type: cos_sim_pearson
|
| 3628 |
value: 34.19498070710533
|
|
@@ -3643,6 +3821,7 @@ model-index:
|
|
| 3643 |
name: MTEB STS17 (it-en)
|
| 3644 |
config: it-en
|
| 3645 |
split: test
|
|
|
|
| 3646 |
metrics:
|
| 3647 |
- type: cos_sim_pearson
|
| 3648 |
value: 25.84186641167081
|
|
@@ -3663,6 +3842,7 @@ model-index:
|
|
| 3663 |
name: MTEB STS17 (nl-en)
|
| 3664 |
config: nl-en
|
| 3665 |
split: test
|
|
|
|
| 3666 |
metrics:
|
| 3667 |
- type: cos_sim_pearson
|
| 3668 |
value: 31.68262883322153
|
|
@@ -3683,6 +3863,7 @@ model-index:
|
|
| 3683 |
name: MTEB STS22 (en)
|
| 3684 |
config: en
|
| 3685 |
split: test
|
|
|
|
| 3686 |
metrics:
|
| 3687 |
- type: cos_sim_pearson
|
| 3688 |
value: 66.82398288868168
|
|
@@ -3703,6 +3884,7 @@ model-index:
|
|
| 3703 |
name: MTEB STS22 (de)
|
| 3704 |
config: de
|
| 3705 |
split: test
|
|
|
|
| 3706 |
metrics:
|
| 3707 |
- type: cos_sim_pearson
|
| 3708 |
value: 18.956935297479266
|
|
@@ -3723,6 +3905,7 @@ model-index:
|
|
| 3723 |
name: MTEB STS22 (es)
|
| 3724 |
config: es
|
| 3725 |
split: test
|
|
|
|
| 3726 |
metrics:
|
| 3727 |
- type: cos_sim_pearson
|
| 3728 |
value: 43.159634114474954
|
|
@@ -3743,6 +3926,7 @@ model-index:
|
|
| 3743 |
name: MTEB STS22 (pl)
|
| 3744 |
config: pl
|
| 3745 |
split: test
|
|
|
|
| 3746 |
metrics:
|
| 3747 |
- type: cos_sim_pearson
|
| 3748 |
value: 2.9506287366804567
|
|
@@ -3763,6 +3947,7 @@ model-index:
|
|
| 3763 |
name: MTEB STS22 (tr)
|
| 3764 |
config: tr
|
| 3765 |
split: test
|
|
|
|
| 3766 |
metrics:
|
| 3767 |
- type: cos_sim_pearson
|
| 3768 |
value: 17.494702940326327
|
|
@@ -3783,6 +3968,7 @@ model-index:
|
|
| 3783 |
name: MTEB STS22 (ar)
|
| 3784 |
config: ar
|
| 3785 |
split: test
|
|
|
|
| 3786 |
metrics:
|
| 3787 |
- type: cos_sim_pearson
|
| 3788 |
value: 21.455304899947475
|
|
@@ -3803,6 +3989,7 @@ model-index:
|
|
| 3803 |
name: MTEB STS22 (ru)
|
| 3804 |
config: ru
|
| 3805 |
split: test
|
|
|
|
| 3806 |
metrics:
|
| 3807 |
- type: cos_sim_pearson
|
| 3808 |
value: 5.725870260172754
|
|
@@ -3823,6 +4010,7 @@ model-index:
|
|
| 3823 |
name: MTEB STS22 (zh)
|
| 3824 |
config: zh
|
| 3825 |
split: test
|
|
|
|
| 3826 |
metrics:
|
| 3827 |
- type: cos_sim_pearson
|
| 3828 |
value: 23.644675903928903
|
|
@@ -3843,6 +4031,7 @@ model-index:
|
|
| 3843 |
name: MTEB STS22 (fr)
|
| 3844 |
config: fr
|
| 3845 |
split: test
|
|
|
|
| 3846 |
metrics:
|
| 3847 |
- type: cos_sim_pearson
|
| 3848 |
value: 68.19096417445061
|
|
@@ -3863,6 +4052,7 @@ model-index:
|
|
| 3863 |
name: MTEB STS22 (de-en)
|
| 3864 |
config: de-en
|
| 3865 |
split: test
|
|
|
|
| 3866 |
metrics:
|
| 3867 |
- type: cos_sim_pearson
|
| 3868 |
value: 47.02727261965111
|
|
@@ -3883,6 +4073,7 @@ model-index:
|
|
| 3883 |
name: MTEB STS22 (es-en)
|
| 3884 |
config: es-en
|
| 3885 |
split: test
|
|
|
|
| 3886 |
metrics:
|
| 3887 |
- type: cos_sim_pearson
|
| 3888 |
value: 52.54253509229287
|
|
@@ -3903,6 +4094,7 @@ model-index:
|
|
| 3903 |
name: MTEB STS22 (it)
|
| 3904 |
config: it
|
| 3905 |
split: test
|
|
|
|
| 3906 |
metrics:
|
| 3907 |
- type: cos_sim_pearson
|
| 3908 |
value: 48.017241684543656
|
|
@@ -3923,6 +4115,7 @@ model-index:
|
|
| 3923 |
name: MTEB STS22 (pl-en)
|
| 3924 |
config: pl-en
|
| 3925 |
split: test
|
|
|
|
| 3926 |
metrics:
|
| 3927 |
- type: cos_sim_pearson
|
| 3928 |
value: 43.16723254329198
|
|
@@ -3943,6 +4136,7 @@ model-index:
|
|
| 3943 |
name: MTEB STS22 (zh-en)
|
| 3944 |
config: zh-en
|
| 3945 |
split: test
|
|
|
|
| 3946 |
metrics:
|
| 3947 |
- type: cos_sim_pearson
|
| 3948 |
value: 42.614472380988
|
|
@@ -3963,6 +4157,7 @@ model-index:
|
|
| 3963 |
name: MTEB STS22 (es-it)
|
| 3964 |
config: es-it
|
| 3965 |
split: test
|
|
|
|
| 3966 |
metrics:
|
| 3967 |
- type: cos_sim_pearson
|
| 3968 |
value: 41.19025498086497
|
|
@@ -3983,6 +4178,7 @@ model-index:
|
|
| 3983 |
name: MTEB STS22 (de-fr)
|
| 3984 |
config: de-fr
|
| 3985 |
split: test
|
|
|
|
| 3986 |
metrics:
|
| 3987 |
- type: cos_sim_pearson
|
| 3988 |
value: 42.58930629526249
|
|
@@ -4003,6 +4199,7 @@ model-index:
|
|
| 4003 |
name: MTEB STS22 (de-pl)
|
| 4004 |
config: de-pl
|
| 4005 |
split: test
|
|
|
|
| 4006 |
metrics:
|
| 4007 |
- type: cos_sim_pearson
|
| 4008 |
value: 9.14354524166508
|
|
@@ -4023,6 +4220,7 @@ model-index:
|
|
| 4023 |
name: MTEB STS22 (fr-pl)
|
| 4024 |
config: fr-pl
|
| 4025 |
split: test
|
|
|
|
| 4026 |
metrics:
|
| 4027 |
- type: cos_sim_pearson
|
| 4028 |
value: 16.116974803470246
|
|
@@ -4043,6 +4241,7 @@ model-index:
|
|
| 4043 |
name: MTEB STSBenchmark
|
| 4044 |
config: default
|
| 4045 |
split: test
|
|
|
|
| 4046 |
metrics:
|
| 4047 |
- type: cos_sim_pearson
|
| 4048 |
value: 83.75945741541354
|
|
@@ -4063,6 +4262,7 @@ model-index:
|
|
| 4063 |
name: MTEB SciDocsRR
|
| 4064 |
config: default
|
| 4065 |
split: test
|
|
|
|
| 4066 |
metrics:
|
| 4067 |
- type: map
|
| 4068 |
value: 87.20127714147824
|
|
@@ -4075,6 +4275,7 @@ model-index:
|
|
| 4075 |
name: MTEB SciFact
|
| 4076 |
config: default
|
| 4077 |
split: test
|
|
|
|
| 4078 |
metrics:
|
| 4079 |
- type: map_at_1
|
| 4080 |
value: 47.483
|
|
@@ -4143,6 +4344,7 @@ model-index:
|
|
| 4143 |
name: MTEB SprintDuplicateQuestions
|
| 4144 |
config: default
|
| 4145 |
split: test
|
|
|
|
| 4146 |
metrics:
|
| 4147 |
- type: cos_sim_accuracy
|
| 4148 |
value: 99.72871287128713
|
|
@@ -4197,6 +4399,7 @@ model-index:
|
|
| 4197 |
name: MTEB StackExchangeClustering
|
| 4198 |
config: default
|
| 4199 |
split: test
|
|
|
|
| 4200 |
metrics:
|
| 4201 |
- type: v_measure
|
| 4202 |
value: 53.04887987709521
|
|
@@ -4207,6 +4410,7 @@ model-index:
|
|
| 4207 |
name: MTEB StackExchangeClusteringP2P
|
| 4208 |
config: default
|
| 4209 |
split: test
|
|
|
|
| 4210 |
metrics:
|
| 4211 |
- type: v_measure
|
| 4212 |
value: 33.133116286225686
|
|
@@ -4217,6 +4421,7 @@ model-index:
|
|
| 4217 |
name: MTEB StackOverflowDupQuestions
|
| 4218 |
config: default
|
| 4219 |
split: test
|
|
|
|
| 4220 |
metrics:
|
| 4221 |
- type: map
|
| 4222 |
value: 51.4732035634667
|
|
@@ -4229,6 +4434,7 @@ model-index:
|
|
| 4229 |
name: MTEB SummEval
|
| 4230 |
config: default
|
| 4231 |
split: test
|
|
|
|
| 4232 |
metrics:
|
| 4233 |
- type: cos_sim_pearson
|
| 4234 |
value: 29.365093191497525
|
|
@@ -4245,6 +4451,7 @@ model-index:
|
|
| 4245 |
name: MTEB TRECCOVID
|
| 4246 |
config: default
|
| 4247 |
split: test
|
|
|
|
| 4248 |
metrics:
|
| 4249 |
- type: map_at_1
|
| 4250 |
value: 0.17600000000000002
|
|
@@ -4313,6 +4520,7 @@ model-index:
|
|
| 4313 |
name: MTEB Touche2020
|
| 4314 |
config: default
|
| 4315 |
split: test
|
|
|
|
| 4316 |
metrics:
|
| 4317 |
- type: map_at_1
|
| 4318 |
value: 1.813
|
|
@@ -4381,6 +4589,7 @@ model-index:
|
|
| 4381 |
name: MTEB ToxicConversationsClassification
|
| 4382 |
config: default
|
| 4383 |
split: test
|
|
|
|
| 4384 |
metrics:
|
| 4385 |
- type: accuracy
|
| 4386 |
value: 67.4694
|
|
@@ -4395,6 +4604,7 @@ model-index:
|
|
| 4395 |
name: MTEB TweetSentimentExtractionClassification
|
| 4396 |
config: default
|
| 4397 |
split: test
|
|
|
|
| 4398 |
metrics:
|
| 4399 |
- type: accuracy
|
| 4400 |
value: 54.25297113752122
|
|
@@ -4407,6 +4617,7 @@ model-index:
|
|
| 4407 |
name: MTEB TwentyNewsgroupsClustering
|
| 4408 |
config: default
|
| 4409 |
split: test
|
|
|
|
| 4410 |
metrics:
|
| 4411 |
- type: v_measure
|
| 4412 |
value: 47.467044776612376
|
|
@@ -4417,6 +4628,7 @@ model-index:
|
|
| 4417 |
name: MTEB TwitterSemEval2015
|
| 4418 |
config: default
|
| 4419 |
split: test
|
|
|
|
| 4420 |
metrics:
|
| 4421 |
- type: cos_sim_accuracy
|
| 4422 |
value: 84.78869881385229
|
|
@@ -4471,6 +4683,7 @@ model-index:
|
|
| 4471 |
name: MTEB TwitterURLCorpus
|
| 4472 |
config: default
|
| 4473 |
split: test
|
|
|
|
| 4474 |
metrics:
|
| 4475 |
- type: cos_sim_accuracy
|
| 4476 |
value: 88.4367601971514
|
|
@@ -4582,7 +4795,7 @@ print(sentence_embeddings)
|
|
| 4582 |
|
| 4583 |
## Evaluation Results
|
| 4584 |
|
| 4585 |
-
For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name=sentence-transformers/all-MiniLM-L12-v2)
|
| 4586 |
|
| 4587 |
------
|
| 4588 |
|
|
|
|
| 39 |
name: MTEB AmazonCounterfactualClassification (en)
|
| 40 |
config: en
|
| 41 |
split: test
|
| 42 |
+
revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
|
| 43 |
metrics:
|
| 44 |
- type: accuracy
|
| 45 |
value: 65.28358208955224
|
|
|
|
| 54 |
name: MTEB AmazonCounterfactualClassification (de)
|
| 55 |
config: de
|
| 56 |
split: test
|
| 57 |
+
revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
|
| 58 |
metrics:
|
| 59 |
- type: accuracy
|
| 60 |
value: 57.09850107066381
|
|
|
|
| 69 |
name: MTEB AmazonCounterfactualClassification (en-ext)
|
| 70 |
config: en-ext
|
| 71 |
split: test
|
| 72 |
+
revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
|
| 73 |
metrics:
|
| 74 |
- type: accuracy
|
| 75 |
value: 67.24137931034483
|
|
|
|
| 84 |
name: MTEB AmazonCounterfactualClassification (ja)
|
| 85 |
config: ja
|
| 86 |
split: test
|
| 87 |
+
revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
|
| 88 |
metrics:
|
| 89 |
- type: accuracy
|
| 90 |
value: 59.91434689507494
|
|
|
|
| 99 |
name: MTEB AmazonPolarityClassification
|
| 100 |
config: default
|
| 101 |
split: test
|
| 102 |
+
revision: 80714f8dcf8cefc218ef4f8c5a966dd83f75a0e1
|
| 103 |
metrics:
|
| 104 |
- type: accuracy
|
| 105 |
value: 62.984899999999996
|
|
|
|
| 114 |
name: MTEB AmazonReviewsClassification (en)
|
| 115 |
config: en
|
| 116 |
split: test
|
| 117 |
+
revision: c379a6705fec24a2493fa68e011692605f44e119
|
| 118 |
metrics:
|
| 119 |
- type: accuracy
|
| 120 |
value: 30.792
|
|
|
|
| 127 |
name: MTEB AmazonReviewsClassification (de)
|
| 128 |
config: de
|
| 129 |
split: test
|
| 130 |
+
revision: c379a6705fec24a2493fa68e011692605f44e119
|
| 131 |
metrics:
|
| 132 |
- type: accuracy
|
| 133 |
value: 25.907999999999998
|
|
|
|
| 140 |
name: MTEB AmazonReviewsClassification (es)
|
| 141 |
config: es
|
| 142 |
split: test
|
| 143 |
+
revision: c379a6705fec24a2493fa68e011692605f44e119
|
| 144 |
metrics:
|
| 145 |
- type: accuracy
|
| 146 |
value: 27.634000000000004
|
|
|
|
| 153 |
name: MTEB AmazonReviewsClassification (fr)
|
| 154 |
config: fr
|
| 155 |
split: test
|
| 156 |
+
revision: c379a6705fec24a2493fa68e011692605f44e119
|
| 157 |
metrics:
|
| 158 |
- type: accuracy
|
| 159 |
value: 27.540000000000003
|
|
|
|
| 166 |
name: MTEB AmazonReviewsClassification (ja)
|
| 167 |
config: ja
|
| 168 |
split: test
|
| 169 |
+
revision: c379a6705fec24a2493fa68e011692605f44e119
|
| 170 |
metrics:
|
| 171 |
- type: accuracy
|
| 172 |
value: 23.566000000000003
|
|
|
|
| 179 |
name: MTEB AmazonReviewsClassification (zh)
|
| 180 |
config: zh
|
| 181 |
split: test
|
| 182 |
+
revision: c379a6705fec24a2493fa68e011692605f44e119
|
| 183 |
metrics:
|
| 184 |
- type: accuracy
|
| 185 |
value: 22.99
|
|
|
|
| 192 |
name: MTEB ArguAna
|
| 193 |
config: default
|
| 194 |
split: test
|
| 195 |
+
revision: 5b3e3697907184a9b77a3c99ee9ea1a9cbb1e4e3
|
| 196 |
metrics:
|
| 197 |
- type: map_at_1
|
| 198 |
value: 23.257
|
|
|
|
| 261 |
name: MTEB ArxivClusteringP2P
|
| 262 |
config: default
|
| 263 |
split: test
|
| 264 |
+
revision: 0bbdb47bcbe3a90093699aefeed338a0f28a7ee8
|
| 265 |
metrics:
|
| 266 |
- type: v_measure
|
| 267 |
value: 46.06982724111873
|
|
|
|
| 272 |
name: MTEB ArxivClusteringS2S
|
| 273 |
config: default
|
| 274 |
split: test
|
| 275 |
+
revision: b73bd54100e5abfa6e3a23dcafb46fe4d2438dc3
|
| 276 |
metrics:
|
| 277 |
- type: v_measure
|
| 278 |
value: 37.501829188148264
|
|
|
|
| 283 |
name: MTEB AskUbuntuDupQuestions
|
| 284 |
config: default
|
| 285 |
split: test
|
| 286 |
+
revision: 4d853f94cd57d85ec13805aeeac3ae3e5eb4c49c
|
| 287 |
metrics:
|
| 288 |
- type: map
|
| 289 |
value: 64.06160552465775
|
|
|
|
| 296 |
name: MTEB BIOSSES
|
| 297 |
config: default
|
| 298 |
split: test
|
| 299 |
+
revision: 9ee918f184421b6bd48b78f6c714d86546106103
|
| 300 |
metrics:
|
| 301 |
- type: cos_sim_pearson
|
| 302 |
value: 86.73300462416691
|
|
|
|
| 317 |
name: MTEB Banking77Classification
|
| 318 |
config: default
|
| 319 |
split: test
|
| 320 |
+
revision: 44fa15921b4c889113cc5df03dd4901b49161ab7
|
| 321 |
metrics:
|
| 322 |
- type: accuracy
|
| 323 |
value: 80.40259740259741
|
|
|
|
| 330 |
name: MTEB BiorxivClusteringP2P
|
| 331 |
config: default
|
| 332 |
split: test
|
| 333 |
+
revision: 11d0121201d1f1f280e8cc8f3d98fb9c4d9f9c55
|
| 334 |
metrics:
|
| 335 |
- type: v_measure
|
| 336 |
value: 36.985834019439366
|
|
|
|
| 341 |
name: MTEB BiorxivClusteringS2S
|
| 342 |
config: default
|
| 343 |
split: test
|
| 344 |
+
revision: c0fab014e1bcb8d3a5e31b2088972a1e01547dc1
|
| 345 |
metrics:
|
| 346 |
- type: v_measure
|
| 347 |
value: 33.207831360185644
|
|
|
|
| 352 |
name: MTEB CQADupstackAndroidRetrieval
|
| 353 |
config: default
|
| 354 |
split: test
|
| 355 |
+
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
| 356 |
metrics:
|
| 357 |
- type: map_at_1
|
| 358 |
value: 34.975
|
|
|
|
| 421 |
name: MTEB CQADupstackEnglishRetrieval
|
| 422 |
config: default
|
| 423 |
split: test
|
| 424 |
+
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
| 425 |
metrics:
|
| 426 |
- type: map_at_1
|
| 427 |
value: 31.509999999999998
|
|
|
|
| 490 |
name: MTEB CQADupstackGamingRetrieval
|
| 491 |
config: default
|
| 492 |
split: test
|
| 493 |
+
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
| 494 |
metrics:
|
| 495 |
- type: map_at_1
|
| 496 |
value: 38.577
|
|
|
|
| 559 |
name: MTEB CQADupstackGisRetrieval
|
| 560 |
config: default
|
| 561 |
split: test
|
| 562 |
+
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
| 563 |
metrics:
|
| 564 |
- type: map_at_1
|
| 565 |
value: 27.038
|
|
|
|
| 628 |
name: MTEB CQADupstackMathematicaRetrieval
|
| 629 |
config: default
|
| 630 |
split: test
|
| 631 |
+
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
| 632 |
metrics:
|
| 633 |
- type: map_at_1
|
| 634 |
value: 17.264
|
|
|
|
| 697 |
name: MTEB CQADupstackPhysicsRetrieval
|
| 698 |
config: default
|
| 699 |
split: test
|
| 700 |
+
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
| 701 |
metrics:
|
| 702 |
- type: map_at_1
|
| 703 |
value: 28.668
|
|
|
|
| 766 |
name: MTEB CQADupstackProgrammersRetrieval
|
| 767 |
config: default
|
| 768 |
split: test
|
| 769 |
+
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
| 770 |
metrics:
|
| 771 |
- type: map_at_1
|
| 772 |
value: 25.287
|
|
|
|
| 835 |
name: MTEB CQADupstackRetrieval
|
| 836 |
config: default
|
| 837 |
split: test
|
| 838 |
+
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
| 839 |
metrics:
|
| 840 |
- type: map_at_1
|
| 841 |
value: 26.613
|
|
|
|
| 904 |
name: MTEB CQADupstackStatsRetrieval
|
| 905 |
config: default
|
| 906 |
split: test
|
| 907 |
+
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
| 908 |
metrics:
|
| 909 |
- type: map_at_1
|
| 910 |
value: 26.079
|
|
|
|
| 973 |
name: MTEB CQADupstackTexRetrieval
|
| 974 |
config: default
|
| 975 |
split: test
|
| 976 |
+
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
| 977 |
metrics:
|
| 978 |
- type: map_at_1
|
| 979 |
value: 18.17
|
|
|
|
| 1042 |
name: MTEB CQADupstackUnixRetrieval
|
| 1043 |
config: default
|
| 1044 |
split: test
|
| 1045 |
+
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
| 1046 |
metrics:
|
| 1047 |
- type: map_at_1
|
| 1048 |
value: 28.016999999999996
|
|
|
|
| 1111 |
name: MTEB CQADupstackWebmastersRetrieval
|
| 1112 |
config: default
|
| 1113 |
split: test
|
| 1114 |
+
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
| 1115 |
metrics:
|
| 1116 |
- type: map_at_1
|
| 1117 |
value: 24.295
|
|
|
|
| 1180 |
name: MTEB CQADupstackWordpressRetrieval
|
| 1181 |
config: default
|
| 1182 |
split: test
|
| 1183 |
+
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
| 1184 |
metrics:
|
| 1185 |
- type: map_at_1
|
| 1186 |
value: 19.476
|
|
|
|
| 1249 |
name: MTEB ClimateFEVER
|
| 1250 |
config: default
|
| 1251 |
split: test
|
| 1252 |
+
revision: 392b78eb68c07badcd7c2cd8f39af108375dfcce
|
| 1253 |
metrics:
|
| 1254 |
- type: map_at_1
|
| 1255 |
value: 8.341999999999999
|
|
|
|
| 1318 |
name: MTEB DBPedia
|
| 1319 |
config: default
|
| 1320 |
split: test
|
| 1321 |
+
revision: f097057d03ed98220bc7309ddb10b71a54d667d6
|
| 1322 |
metrics:
|
| 1323 |
- type: map_at_1
|
| 1324 |
value: 7.5920000000000005
|
|
|
|
| 1387 |
name: MTEB EmotionClassification
|
| 1388 |
config: default
|
| 1389 |
split: test
|
| 1390 |
+
revision: 829147f8f75a25f005913200eb5ed41fae320aa1
|
| 1391 |
metrics:
|
| 1392 |
- type: accuracy
|
| 1393 |
value: 41.17
|
|
|
|
| 1400 |
name: MTEB FEVER
|
| 1401 |
config: default
|
| 1402 |
split: test
|
| 1403 |
+
revision: 1429cf27e393599b8b359b9b72c666f96b2525f9
|
| 1404 |
metrics:
|
| 1405 |
- type: map_at_1
|
| 1406 |
value: 37.361
|
|
|
|
| 1469 |
name: MTEB FiQA2018
|
| 1470 |
config: default
|
| 1471 |
split: test
|
| 1472 |
+
revision: 41b686a7f28c59bcaaa5791efd47c67c8ebe28be
|
| 1473 |
metrics:
|
| 1474 |
- type: map_at_1
|
| 1475 |
value: 18.257
|
|
|
|
| 1538 |
name: MTEB HotpotQA
|
| 1539 |
config: default
|
| 1540 |
split: test
|
| 1541 |
+
revision: 766870b35a1b9ca65e67a0d1913899973551fc6c
|
| 1542 |
metrics:
|
| 1543 |
- type: map_at_1
|
| 1544 |
value: 25.935000000000002
|
|
|
|
| 1607 |
name: MTEB ImdbClassification
|
| 1608 |
config: default
|
| 1609 |
split: test
|
| 1610 |
+
revision: 8d743909f834c38949e8323a8a6ce8721ea6c7f4
|
| 1611 |
metrics:
|
| 1612 |
- type: accuracy
|
| 1613 |
value: 59.76079999999999
|
|
|
|
| 1622 |
name: MTEB MSMARCO
|
| 1623 |
config: default
|
| 1624 |
split: dev
|
| 1625 |
+
revision: e6838a846e2408f22cf5cc337ebc83e0bcf77849
|
| 1626 |
metrics:
|
| 1627 |
- type: map_at_1
|
| 1628 |
value: 20.666999999999998
|
|
|
|
| 1691 |
name: MTEB MTOPDomainClassification (en)
|
| 1692 |
config: en
|
| 1693 |
split: test
|
| 1694 |
+
revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
|
| 1695 |
metrics:
|
| 1696 |
- type: accuracy
|
| 1697 |
value: 91.89922480620154
|
|
|
|
| 1704 |
name: MTEB MTOPDomainClassification (de)
|
| 1705 |
config: de
|
| 1706 |
split: test
|
| 1707 |
+
revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
|
| 1708 |
metrics:
|
| 1709 |
- type: accuracy
|
| 1710 |
value: 72.03719357565511
|
|
|
|
| 1717 |
name: MTEB MTOPDomainClassification (es)
|
| 1718 |
config: es
|
| 1719 |
split: test
|
| 1720 |
+
revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
|
| 1721 |
metrics:
|
| 1722 |
- type: accuracy
|
| 1723 |
value: 72.98532354903269
|
|
|
|
| 1730 |
name: MTEB MTOPDomainClassification (fr)
|
| 1731 |
config: fr
|
| 1732 |
split: test
|
| 1733 |
+
revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
|
| 1734 |
metrics:
|
| 1735 |
- type: accuracy
|
| 1736 |
value: 75.59348575007829
|
|
|
|
| 1743 |
name: MTEB MTOPDomainClassification (hi)
|
| 1744 |
config: hi
|
| 1745 |
split: test
|
| 1746 |
+
revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
|
| 1747 |
metrics:
|
| 1748 |
- type: accuracy
|
| 1749 |
value: 40.36213696665471
|
|
|
|
| 1756 |
name: MTEB MTOPDomainClassification (th)
|
| 1757 |
config: th
|
| 1758 |
split: test
|
| 1759 |
+
revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
|
| 1760 |
metrics:
|
| 1761 |
- type: accuracy
|
| 1762 |
value: 17.099457504520796
|
|
|
|
| 1769 |
name: MTEB MTOPIntentClassification (en)
|
| 1770 |
config: en
|
| 1771 |
split: test
|
| 1772 |
+
revision: 6299947a7777084cc2d4b64235bf7190381ce755
|
| 1773 |
metrics:
|
| 1774 |
- type: accuracy
|
| 1775 |
value: 62.83629730962153
|
|
|
|
| 1782 |
name: MTEB MTOPIntentClassification (de)
|
| 1783 |
config: de
|
| 1784 |
split: test
|
| 1785 |
+
revision: 6299947a7777084cc2d4b64235bf7190381ce755
|
| 1786 |
metrics:
|
| 1787 |
- type: accuracy
|
| 1788 |
value: 43.412228796844175
|
|
|
|
| 1795 |
name: MTEB MTOPIntentClassification (es)
|
| 1796 |
config: es
|
| 1797 |
split: test
|
| 1798 |
+
revision: 6299947a7777084cc2d4b64235bf7190381ce755
|
| 1799 |
metrics:
|
| 1800 |
- type: accuracy
|
| 1801 |
value: 41.8812541694463
|
|
|
|
| 1808 |
name: MTEB MTOPIntentClassification (fr)
|
| 1809 |
config: fr
|
| 1810 |
split: test
|
| 1811 |
+
revision: 6299947a7777084cc2d4b64235bf7190381ce755
|
| 1812 |
metrics:
|
| 1813 |
- type: accuracy
|
| 1814 |
value: 38.93830253679925
|
|
|
|
| 1821 |
name: MTEB MTOPIntentClassification (hi)
|
| 1822 |
config: hi
|
| 1823 |
split: test
|
| 1824 |
+
revision: 6299947a7777084cc2d4b64235bf7190381ce755
|
| 1825 |
metrics:
|
| 1826 |
- type: accuracy
|
| 1827 |
value: 17.7518823951237
|
|
|
|
| 1834 |
name: MTEB MTOPIntentClassification (th)
|
| 1835 |
config: th
|
| 1836 |
split: test
|
| 1837 |
+
revision: 6299947a7777084cc2d4b64235bf7190381ce755
|
| 1838 |
metrics:
|
| 1839 |
- type: accuracy
|
| 1840 |
value: 5.631103074141048
|
|
|
|
| 1847 |
name: MTEB MassiveIntentClassification (af)
|
| 1848 |
config: af
|
| 1849 |
split: test
|
| 1850 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 1851 |
metrics:
|
| 1852 |
- type: accuracy
|
| 1853 |
value: 38.94082044384667
|
|
|
|
| 1860 |
name: MTEB MassiveIntentClassification (am)
|
| 1861 |
config: am
|
| 1862 |
split: test
|
| 1863 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 1864 |
metrics:
|
| 1865 |
- type: accuracy
|
| 1866 |
value: 2.451244115669133
|
|
|
|
| 1873 |
name: MTEB MassiveIntentClassification (ar)
|
| 1874 |
config: ar
|
| 1875 |
split: test
|
| 1876 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 1877 |
metrics:
|
| 1878 |
- type: accuracy
|
| 1879 |
value: 20.938130464021523
|
|
|
|
| 1886 |
name: MTEB MassiveIntentClassification (az)
|
| 1887 |
config: az
|
| 1888 |
split: test
|
| 1889 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 1890 |
metrics:
|
| 1891 |
- type: accuracy
|
| 1892 |
value: 34.25016812373907
|
|
|
|
| 1899 |
name: MTEB MassiveIntentClassification (bn)
|
| 1900 |
config: bn
|
| 1901 |
split: test
|
| 1902 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 1903 |
metrics:
|
| 1904 |
- type: accuracy
|
| 1905 |
value: 13.665097511768659
|
|
|
|
| 1912 |
name: MTEB MassiveIntentClassification (cy)
|
| 1913 |
config: cy
|
| 1914 |
split: test
|
| 1915 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 1916 |
metrics:
|
| 1917 |
- type: accuracy
|
| 1918 |
value: 35.7128446536651
|
|
|
|
| 1925 |
name: MTEB MassiveIntentClassification (da)
|
| 1926 |
config: da
|
| 1927 |
split: test
|
| 1928 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 1929 |
metrics:
|
| 1930 |
- type: accuracy
|
| 1931 |
value: 44.425016812373904
|
|
|
|
| 1938 |
name: MTEB MassiveIntentClassification (de)
|
| 1939 |
config: de
|
| 1940 |
split: test
|
| 1941 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 1942 |
metrics:
|
| 1943 |
- type: accuracy
|
| 1944 |
value: 44.1661062542031
|
|
|
|
| 1951 |
name: MTEB MassiveIntentClassification (el)
|
| 1952 |
config: el
|
| 1953 |
split: test
|
| 1954 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 1955 |
metrics:
|
| 1956 |
- type: accuracy
|
| 1957 |
value: 28.698722259583054
|
|
|
|
| 1964 |
name: MTEB MassiveIntentClassification (en)
|
| 1965 |
config: en
|
| 1966 |
split: test
|
| 1967 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 1968 |
metrics:
|
| 1969 |
- type: accuracy
|
| 1970 |
value: 67.14862138533961
|
|
|
|
| 1977 |
name: MTEB MassiveIntentClassification (es)
|
| 1978 |
config: es
|
| 1979 |
split: test
|
| 1980 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 1981 |
metrics:
|
| 1982 |
- type: accuracy
|
| 1983 |
value: 40.907868190988566
|
|
|
|
| 1990 |
name: MTEB MassiveIntentClassification (fa)
|
| 1991 |
config: fa
|
| 1992 |
split: test
|
| 1993 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 1994 |
metrics:
|
| 1995 |
- type: accuracy
|
| 1996 |
value: 23.517148621385342
|
|
|
|
| 2003 |
name: MTEB MassiveIntentClassification (fi)
|
| 2004 |
config: fi
|
| 2005 |
split: test
|
| 2006 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2007 |
metrics:
|
| 2008 |
- type: accuracy
|
| 2009 |
value: 39.27370544720915
|
|
|
|
| 2016 |
name: MTEB MassiveIntentClassification (fr)
|
| 2017 |
config: fr
|
| 2018 |
split: test
|
| 2019 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2020 |
metrics:
|
| 2021 |
- type: accuracy
|
| 2022 |
value: 44.81506388702085
|
|
|
|
| 2029 |
name: MTEB MassiveIntentClassification (he)
|
| 2030 |
config: he
|
| 2031 |
split: test
|
| 2032 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2033 |
metrics:
|
| 2034 |
- type: accuracy
|
| 2035 |
value: 23.648285137861468
|
|
|
|
| 2042 |
name: MTEB MassiveIntentClassification (hi)
|
| 2043 |
config: hi
|
| 2044 |
split: test
|
| 2045 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2046 |
metrics:
|
| 2047 |
- type: accuracy
|
| 2048 |
value: 17.97579018157364
|
|
|
|
| 2055 |
name: MTEB MassiveIntentClassification (hu)
|
| 2056 |
config: hu
|
| 2057 |
split: test
|
| 2058 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2059 |
metrics:
|
| 2060 |
- type: accuracy
|
| 2061 |
value: 37.995965030262276
|
|
|
|
| 2068 |
name: MTEB MassiveIntentClassification (hy)
|
| 2069 |
config: hy
|
| 2070 |
split: test
|
| 2071 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2072 |
metrics:
|
| 2073 |
- type: accuracy
|
| 2074 |
value: 8.691997310020176
|
|
|
|
| 2081 |
name: MTEB MassiveIntentClassification (id)
|
| 2082 |
config: id
|
| 2083 |
split: test
|
| 2084 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2085 |
metrics:
|
| 2086 |
- type: accuracy
|
| 2087 |
value: 39.66039004707465
|
|
|
|
| 2094 |
name: MTEB MassiveIntentClassification (is)
|
| 2095 |
config: is
|
| 2096 |
split: test
|
| 2097 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2098 |
metrics:
|
| 2099 |
- type: accuracy
|
| 2100 |
value: 35.141223940820446
|
|
|
|
| 2107 |
name: MTEB MassiveIntentClassification (it)
|
| 2108 |
config: it
|
| 2109 |
split: test
|
| 2110 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2111 |
metrics:
|
| 2112 |
- type: accuracy
|
| 2113 |
value: 43.17081371889711
|
|
|
|
| 2120 |
name: MTEB MassiveIntentClassification (ja)
|
| 2121 |
config: ja
|
| 2122 |
split: test
|
| 2123 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2124 |
metrics:
|
| 2125 |
- type: accuracy
|
| 2126 |
value: 30.944855413584392
|
|
|
|
| 2133 |
name: MTEB MassiveIntentClassification (jv)
|
| 2134 |
config: jv
|
| 2135 |
split: test
|
| 2136 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2137 |
metrics:
|
| 2138 |
- type: accuracy
|
| 2139 |
value: 36.69468728984533
|
|
|
|
| 2146 |
name: MTEB MassiveIntentClassification (ka)
|
| 2147 |
config: ka
|
| 2148 |
split: test
|
| 2149 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2150 |
metrics:
|
| 2151 |
- type: accuracy
|
| 2152 |
value: 9.169468728984533
|
|
|
|
| 2159 |
name: MTEB MassiveIntentClassification (km)
|
| 2160 |
config: km
|
| 2161 |
split: test
|
| 2162 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2163 |
metrics:
|
| 2164 |
- type: accuracy
|
| 2165 |
value: 4.986550100874243
|
|
|
|
| 2172 |
name: MTEB MassiveIntentClassification (kn)
|
| 2173 |
config: kn
|
| 2174 |
split: test
|
| 2175 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2176 |
metrics:
|
| 2177 |
- type: accuracy
|
| 2178 |
value: 3.0766644250168125
|
|
|
|
| 2185 |
name: MTEB MassiveIntentClassification (ko)
|
| 2186 |
config: ko
|
| 2187 |
split: test
|
| 2188 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2189 |
metrics:
|
| 2190 |
- type: accuracy
|
| 2191 |
value: 19.966375252185607
|
|
|
|
| 2198 |
name: MTEB MassiveIntentClassification (lv)
|
| 2199 |
config: lv
|
| 2200 |
split: test
|
| 2201 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2202 |
metrics:
|
| 2203 |
- type: accuracy
|
| 2204 |
value: 38.61129791526564
|
|
|
|
| 2211 |
name: MTEB MassiveIntentClassification (ml)
|
| 2212 |
config: ml
|
| 2213 |
split: test
|
| 2214 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2215 |
metrics:
|
| 2216 |
- type: accuracy
|
| 2217 |
value: 2.85137861466039
|
|
|
|
| 2224 |
name: MTEB MassiveIntentClassification (mn)
|
| 2225 |
config: mn
|
| 2226 |
split: test
|
| 2227 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2228 |
metrics:
|
| 2229 |
- type: accuracy
|
| 2230 |
value: 23.24815063887021
|
|
|
|
| 2237 |
name: MTEB MassiveIntentClassification (ms)
|
| 2238 |
config: ms
|
| 2239 |
split: test
|
| 2240 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2241 |
metrics:
|
| 2242 |
- type: accuracy
|
| 2243 |
value: 36.21385339609952
|
|
|
|
| 2250 |
name: MTEB MassiveIntentClassification (my)
|
| 2251 |
config: my
|
| 2252 |
split: test
|
| 2253 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2254 |
metrics:
|
| 2255 |
- type: accuracy
|
| 2256 |
value: 4.381304640215198
|
|
|
|
| 2263 |
name: MTEB MassiveIntentClassification (nb)
|
| 2264 |
config: nb
|
| 2265 |
split: test
|
| 2266 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2267 |
metrics:
|
| 2268 |
- type: accuracy
|
| 2269 |
value: 41.91324815063887
|
|
|
|
| 2276 |
name: MTEB MassiveIntentClassification (nl)
|
| 2277 |
config: nl
|
| 2278 |
split: test
|
| 2279 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2280 |
metrics:
|
| 2281 |
- type: accuracy
|
| 2282 |
value: 41.85272360457296
|
|
|
|
| 2289 |
name: MTEB MassiveIntentClassification (pl)
|
| 2290 |
config: pl
|
| 2291 |
split: test
|
| 2292 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2293 |
metrics:
|
| 2294 |
- type: accuracy
|
| 2295 |
value: 37.632817753866846
|
|
|
|
| 2302 |
name: MTEB MassiveIntentClassification (pt)
|
| 2303 |
config: pt
|
| 2304 |
split: test
|
| 2305 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2306 |
metrics:
|
| 2307 |
- type: accuracy
|
| 2308 |
value: 45.12104909213182
|
|
|
|
| 2315 |
name: MTEB MassiveIntentClassification (ro)
|
| 2316 |
config: ro
|
| 2317 |
split: test
|
| 2318 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2319 |
metrics:
|
| 2320 |
- type: accuracy
|
| 2321 |
value: 41.71486213853396
|
|
|
|
| 2328 |
name: MTEB MassiveIntentClassification (ru)
|
| 2329 |
config: ru
|
| 2330 |
split: test
|
| 2331 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2332 |
metrics:
|
| 2333 |
- type: accuracy
|
| 2334 |
value: 26.3315400134499
|
|
|
|
| 2341 |
name: MTEB MassiveIntentClassification (sl)
|
| 2342 |
config: sl
|
| 2343 |
split: test
|
| 2344 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2345 |
metrics:
|
| 2346 |
- type: accuracy
|
| 2347 |
value: 38.52051109616678
|
|
|
|
| 2354 |
name: MTEB MassiveIntentClassification (sq)
|
| 2355 |
config: sq
|
| 2356 |
split: test
|
| 2357 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2358 |
metrics:
|
| 2359 |
- type: accuracy
|
| 2360 |
value: 41.62071284465367
|
|
|
|
| 2367 |
name: MTEB MassiveIntentClassification (sv)
|
| 2368 |
config: sv
|
| 2369 |
split: test
|
| 2370 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2371 |
metrics:
|
| 2372 |
- type: accuracy
|
| 2373 |
value: 40.416946872898464
|
|
|
|
| 2380 |
name: MTEB MassiveIntentClassification (sw)
|
| 2381 |
config: sw
|
| 2382 |
split: test
|
| 2383 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2384 |
metrics:
|
| 2385 |
- type: accuracy
|
| 2386 |
value: 35.27908540685945
|
|
|
|
| 2393 |
name: MTEB MassiveIntentClassification (ta)
|
| 2394 |
config: ta
|
| 2395 |
split: test
|
| 2396 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2397 |
metrics:
|
| 2398 |
- type: accuracy
|
| 2399 |
value: 13.096839273705447
|
|
|
|
| 2406 |
name: MTEB MassiveIntentClassification (te)
|
| 2407 |
config: te
|
| 2408 |
split: test
|
| 2409 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2410 |
metrics:
|
| 2411 |
- type: accuracy
|
| 2412 |
value: 2.5622057834566236
|
|
|
|
| 2419 |
name: MTEB MassiveIntentClassification (th)
|
| 2420 |
config: th
|
| 2421 |
split: test
|
| 2422 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2423 |
metrics:
|
| 2424 |
- type: accuracy
|
| 2425 |
value: 10.537995965030262
|
|
|
|
| 2432 |
name: MTEB MassiveIntentClassification (tl)
|
| 2433 |
config: tl
|
| 2434 |
split: test
|
| 2435 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2436 |
metrics:
|
| 2437 |
- type: accuracy
|
| 2438 |
value: 38.56086079354405
|
|
|
|
| 2445 |
name: MTEB MassiveIntentClassification (tr)
|
| 2446 |
config: tr
|
| 2447 |
split: test
|
| 2448 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2449 |
metrics:
|
| 2450 |
- type: accuracy
|
| 2451 |
value: 35.897780766644246
|
|
|
|
| 2458 |
name: MTEB MassiveIntentClassification (ur)
|
| 2459 |
config: ur
|
| 2460 |
split: test
|
| 2461 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2462 |
metrics:
|
| 2463 |
- type: accuracy
|
| 2464 |
value: 16.1768661735037
|
|
|
|
| 2471 |
name: MTEB MassiveIntentClassification (vi)
|
| 2472 |
config: vi
|
| 2473 |
split: test
|
| 2474 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2475 |
metrics:
|
| 2476 |
- type: accuracy
|
| 2477 |
value: 37.37726967047747
|
|
|
|
| 2484 |
name: MTEB MassiveIntentClassification (zh-CN)
|
| 2485 |
config: zh-CN
|
| 2486 |
split: test
|
| 2487 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2488 |
metrics:
|
| 2489 |
- type: accuracy
|
| 2490 |
value: 23.74243443174176
|
|
|
|
| 2497 |
name: MTEB MassiveIntentClassification (zh-TW)
|
| 2498 |
config: zh-TW
|
| 2499 |
split: test
|
| 2500 |
+
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
| 2501 |
metrics:
|
| 2502 |
- type: accuracy
|
| 2503 |
value: 22.387357094821787
|
|
|
|
| 2510 |
name: MTEB MassiveScenarioClassification (af)
|
| 2511 |
config: af
|
| 2512 |
split: test
|
| 2513 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2514 |
metrics:
|
| 2515 |
- type: accuracy
|
| 2516 |
value: 45.709482178883654
|
|
|
|
| 2523 |
name: MTEB MassiveScenarioClassification (am)
|
| 2524 |
config: am
|
| 2525 |
split: test
|
| 2526 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2527 |
metrics:
|
| 2528 |
- type: accuracy
|
| 2529 |
value: 7.407531943510423
|
|
|
|
| 2536 |
name: MTEB MassiveScenarioClassification (ar)
|
| 2537 |
config: ar
|
| 2538 |
split: test
|
| 2539 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2540 |
metrics:
|
| 2541 |
- type: accuracy
|
| 2542 |
value: 27.61936785474109
|
|
|
|
| 2549 |
name: MTEB MassiveScenarioClassification (az)
|
| 2550 |
config: az
|
| 2551 |
split: test
|
| 2552 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2553 |
metrics:
|
| 2554 |
- type: accuracy
|
| 2555 |
value: 39.57969065232011
|
|
|
|
| 2562 |
name: MTEB MassiveScenarioClassification (bn)
|
| 2563 |
config: bn
|
| 2564 |
split: test
|
| 2565 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2566 |
metrics:
|
| 2567 |
- type: accuracy
|
| 2568 |
value: 18.9778076664425
|
|
|
|
| 2575 |
name: MTEB MassiveScenarioClassification (cy)
|
| 2576 |
config: cy
|
| 2577 |
split: test
|
| 2578 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2579 |
metrics:
|
| 2580 |
- type: accuracy
|
| 2581 |
value: 41.40215198386012
|
|
|
|
| 2588 |
name: MTEB MassiveScenarioClassification (da)
|
| 2589 |
config: da
|
| 2590 |
split: test
|
| 2591 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2592 |
metrics:
|
| 2593 |
- type: accuracy
|
| 2594 |
value: 49.46872898453262
|
|
|
|
| 2601 |
name: MTEB MassiveScenarioClassification (de)
|
| 2602 |
config: de
|
| 2603 |
split: test
|
| 2604 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2605 |
metrics:
|
| 2606 |
- type: accuracy
|
| 2607 |
value: 52.07128446536652
|
|
|
|
| 2614 |
name: MTEB MassiveScenarioClassification (el)
|
| 2615 |
config: el
|
| 2616 |
split: test
|
| 2617 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2618 |
metrics:
|
| 2619 |
- type: accuracy
|
| 2620 |
value: 35.50773369199731
|
|
|
|
| 2627 |
name: MTEB MassiveScenarioClassification (en)
|
| 2628 |
config: en
|
| 2629 |
split: test
|
| 2630 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2631 |
metrics:
|
| 2632 |
- type: accuracy
|
| 2633 |
value: 74.57632817753867
|
|
|
|
| 2640 |
name: MTEB MassiveScenarioClassification (es)
|
| 2641 |
config: es
|
| 2642 |
split: test
|
| 2643 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2644 |
metrics:
|
| 2645 |
- type: accuracy
|
| 2646 |
value: 50.743106926698054
|
|
|
|
| 2653 |
name: MTEB MassiveScenarioClassification (fa)
|
| 2654 |
config: fa
|
| 2655 |
split: test
|
| 2656 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2657 |
metrics:
|
| 2658 |
- type: accuracy
|
| 2659 |
value: 29.004707464694015
|
|
|
|
| 2666 |
name: MTEB MassiveScenarioClassification (fi)
|
| 2667 |
config: fi
|
| 2668 |
split: test
|
| 2669 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2670 |
metrics:
|
| 2671 |
- type: accuracy
|
| 2672 |
value: 45.80026899798252
|
|
|
|
| 2679 |
name: MTEB MassiveScenarioClassification (fr)
|
| 2680 |
config: fr
|
| 2681 |
split: test
|
| 2682 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2683 |
metrics:
|
| 2684 |
- type: accuracy
|
| 2685 |
value: 53.7626092804304
|
|
|
|
| 2692 |
name: MTEB MassiveScenarioClassification (he)
|
| 2693 |
config: he
|
| 2694 |
split: test
|
| 2695 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2696 |
metrics:
|
| 2697 |
- type: accuracy
|
| 2698 |
value: 25.682582380632148
|
|
|
|
| 2705 |
name: MTEB MassiveScenarioClassification (hi)
|
| 2706 |
config: hi
|
| 2707 |
split: test
|
| 2708 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2709 |
metrics:
|
| 2710 |
- type: accuracy
|
| 2711 |
value: 23.022864828513782
|
|
|
|
| 2718 |
name: MTEB MassiveScenarioClassification (hu)
|
| 2719 |
config: hu
|
| 2720 |
split: test
|
| 2721 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2722 |
metrics:
|
| 2723 |
- type: accuracy
|
| 2724 |
value: 44.08540685944856
|
|
|
|
| 2731 |
name: MTEB MassiveScenarioClassification (hy)
|
| 2732 |
config: hy
|
| 2733 |
split: test
|
| 2734 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2735 |
metrics:
|
| 2736 |
- type: accuracy
|
| 2737 |
value: 14.83187626092804
|
|
|
|
| 2744 |
name: MTEB MassiveScenarioClassification (id)
|
| 2745 |
config: id
|
| 2746 |
split: test
|
| 2747 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2748 |
metrics:
|
| 2749 |
- type: accuracy
|
| 2750 |
value: 44.34767989240081
|
|
|
|
| 2757 |
name: MTEB MassiveScenarioClassification (is)
|
| 2758 |
config: is
|
| 2759 |
split: test
|
| 2760 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2761 |
metrics:
|
| 2762 |
- type: accuracy
|
| 2763 |
value: 43.08002689979825
|
|
|
|
| 2770 |
name: MTEB MassiveScenarioClassification (it)
|
| 2771 |
config: it
|
| 2772 |
split: test
|
| 2773 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2774 |
metrics:
|
| 2775 |
- type: accuracy
|
| 2776 |
value: 51.71486213853396
|
|
|
|
| 2783 |
name: MTEB MassiveScenarioClassification (ja)
|
| 2784 |
config: ja
|
| 2785 |
split: test
|
| 2786 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2787 |
metrics:
|
| 2788 |
- type: accuracy
|
| 2789 |
value: 36.748486886348346
|
|
|
|
| 2796 |
name: MTEB MassiveScenarioClassification (jv)
|
| 2797 |
config: jv
|
| 2798 |
split: test
|
| 2799 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2800 |
metrics:
|
| 2801 |
- type: accuracy
|
| 2802 |
value: 44.56624075319435
|
|
|
|
| 2809 |
name: MTEB MassiveScenarioClassification (ka)
|
| 2810 |
config: ka
|
| 2811 |
split: test
|
| 2812 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2813 |
metrics:
|
| 2814 |
- type: accuracy
|
| 2815 |
value: 14.83523873570948
|
|
|
|
| 2822 |
name: MTEB MassiveScenarioClassification (km)
|
| 2823 |
config: km
|
| 2824 |
split: test
|
| 2825 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2826 |
metrics:
|
| 2827 |
- type: accuracy
|
| 2828 |
value: 9.754539340954944
|
|
|
|
| 2835 |
name: MTEB MassiveScenarioClassification (kn)
|
| 2836 |
config: kn
|
| 2837 |
split: test
|
| 2838 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2839 |
metrics:
|
| 2840 |
- type: accuracy
|
| 2841 |
value: 8.315400134498994
|
|
|
|
| 2848 |
name: MTEB MassiveScenarioClassification (ko)
|
| 2849 |
config: ko
|
| 2850 |
split: test
|
| 2851 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2852 |
metrics:
|
| 2853 |
- type: accuracy
|
| 2854 |
value: 25.719569603227978
|
|
|
|
| 2861 |
name: MTEB MassiveScenarioClassification (lv)
|
| 2862 |
config: lv
|
| 2863 |
split: test
|
| 2864 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2865 |
metrics:
|
| 2866 |
- type: accuracy
|
| 2867 |
value: 42.74714189643578
|
|
|
|
| 2874 |
name: MTEB MassiveScenarioClassification (ml)
|
| 2875 |
config: ml
|
| 2876 |
split: test
|
| 2877 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2878 |
metrics:
|
| 2879 |
- type: accuracy
|
| 2880 |
value: 7.252858103564222
|
|
|
|
| 2887 |
name: MTEB MassiveScenarioClassification (mn)
|
| 2888 |
config: mn
|
| 2889 |
split: test
|
| 2890 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2891 |
metrics:
|
| 2892 |
- type: accuracy
|
| 2893 |
value: 29.034969737726968
|
|
|
|
| 2900 |
name: MTEB MassiveScenarioClassification (ms)
|
| 2901 |
config: ms
|
| 2902 |
split: test
|
| 2903 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2904 |
metrics:
|
| 2905 |
- type: accuracy
|
| 2906 |
value: 44.64694014794889
|
|
|
|
| 2913 |
name: MTEB MassiveScenarioClassification (my)
|
| 2914 |
config: my
|
| 2915 |
split: test
|
| 2916 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2917 |
metrics:
|
| 2918 |
- type: accuracy
|
| 2919 |
value: 10.067249495628783
|
|
|
|
| 2926 |
name: MTEB MassiveScenarioClassification (nb)
|
| 2927 |
config: nb
|
| 2928 |
split: test
|
| 2929 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2930 |
metrics:
|
| 2931 |
- type: accuracy
|
| 2932 |
value: 47.357094821788834
|
|
|
|
| 2939 |
name: MTEB MassiveScenarioClassification (nl)
|
| 2940 |
config: nl
|
| 2941 |
split: test
|
| 2942 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2943 |
metrics:
|
| 2944 |
- type: accuracy
|
| 2945 |
value: 49.15265635507734
|
|
|
|
| 2952 |
name: MTEB MassiveScenarioClassification (pl)
|
| 2953 |
config: pl
|
| 2954 |
split: test
|
| 2955 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2956 |
metrics:
|
| 2957 |
- type: accuracy
|
| 2958 |
value: 44.72091459314056
|
|
|
|
| 2965 |
name: MTEB MassiveScenarioClassification (pt)
|
| 2966 |
config: pt
|
| 2967 |
split: test
|
| 2968 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2969 |
metrics:
|
| 2970 |
- type: accuracy
|
| 2971 |
value: 52.99932750504372
|
|
|
|
| 2978 |
name: MTEB MassiveScenarioClassification (ro)
|
| 2979 |
config: ro
|
| 2980 |
split: test
|
| 2981 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2982 |
metrics:
|
| 2983 |
- type: accuracy
|
| 2984 |
value: 49.97310020174849
|
|
|
|
| 2991 |
name: MTEB MassiveScenarioClassification (ru)
|
| 2992 |
config: ru
|
| 2993 |
split: test
|
| 2994 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 2995 |
metrics:
|
| 2996 |
- type: accuracy
|
| 2997 |
value: 28.74915938130464
|
|
|
|
| 3004 |
name: MTEB MassiveScenarioClassification (sl)
|
| 3005 |
config: sl
|
| 3006 |
split: test
|
| 3007 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 3008 |
metrics:
|
| 3009 |
- type: accuracy
|
| 3010 |
value: 42.2595830531271
|
|
|
|
| 3017 |
name: MTEB MassiveScenarioClassification (sq)
|
| 3018 |
config: sq
|
| 3019 |
split: test
|
| 3020 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 3021 |
metrics:
|
| 3022 |
- type: accuracy
|
| 3023 |
value: 49.13584398117014
|
|
|
|
| 3030 |
name: MTEB MassiveScenarioClassification (sv)
|
| 3031 |
config: sv
|
| 3032 |
split: test
|
| 3033 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 3034 |
metrics:
|
| 3035 |
- type: accuracy
|
| 3036 |
value: 46.82582380632145
|
|
|
|
| 3043 |
name: MTEB MassiveScenarioClassification (sw)
|
| 3044 |
config: sw
|
| 3045 |
split: test
|
| 3046 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 3047 |
metrics:
|
| 3048 |
- type: accuracy
|
| 3049 |
value: 43.18426361802287
|
|
|
|
| 3056 |
name: MTEB MassiveScenarioClassification (ta)
|
| 3057 |
config: ta
|
| 3058 |
split: test
|
| 3059 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 3060 |
metrics:
|
| 3061 |
- type: accuracy
|
| 3062 |
value: 19.3813046402152
|
|
|
|
| 3069 |
name: MTEB MassiveScenarioClassification (te)
|
| 3070 |
config: te
|
| 3071 |
split: test
|
| 3072 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 3073 |
metrics:
|
| 3074 |
- type: accuracy
|
| 3075 |
value: 7.737054472091459
|
|
|
|
| 3082 |
name: MTEB MassiveScenarioClassification (th)
|
| 3083 |
config: th
|
| 3084 |
split: test
|
| 3085 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 3086 |
metrics:
|
| 3087 |
- type: accuracy
|
| 3088 |
value: 18.31540013449899
|
|
|
|
| 3095 |
name: MTEB MassiveScenarioClassification (tl)
|
| 3096 |
config: tl
|
| 3097 |
split: test
|
| 3098 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 3099 |
metrics:
|
| 3100 |
- type: accuracy
|
| 3101 |
value: 48.305312710154666
|
|
|
|
| 3108 |
name: MTEB MassiveScenarioClassification (tr)
|
| 3109 |
config: tr
|
| 3110 |
split: test
|
| 3111 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 3112 |
metrics:
|
| 3113 |
- type: accuracy
|
| 3114 |
value: 41.792199058507066
|
|
|
|
| 3121 |
name: MTEB MassiveScenarioClassification (ur)
|
| 3122 |
config: ur
|
| 3123 |
split: test
|
| 3124 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 3125 |
metrics:
|
| 3126 |
- type: accuracy
|
| 3127 |
value: 24.462004034969738
|
|
|
|
| 3134 |
name: MTEB MassiveScenarioClassification (vi)
|
| 3135 |
config: vi
|
| 3136 |
split: test
|
| 3137 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 3138 |
metrics:
|
| 3139 |
- type: accuracy
|
| 3140 |
value: 40.94149293880296
|
|
|
|
| 3147 |
name: MTEB MassiveScenarioClassification (zh-CN)
|
| 3148 |
config: zh-CN
|
| 3149 |
split: test
|
| 3150 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 3151 |
metrics:
|
| 3152 |
- type: accuracy
|
| 3153 |
value: 33.17753866845998
|
|
|
|
| 3160 |
name: MTEB MassiveScenarioClassification (zh-TW)
|
| 3161 |
config: zh-TW
|
| 3162 |
split: test
|
| 3163 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 3164 |
metrics:
|
| 3165 |
- type: accuracy
|
| 3166 |
value: 31.15669132481506
|
|
|
|
| 3173 |
name: MTEB MedrxivClusteringP2P
|
| 3174 |
config: default
|
| 3175 |
split: test
|
| 3176 |
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revision: dcefc037ef84348e49b0d29109e891c01067226b
|
| 3177 |
metrics:
|
| 3178 |
- type: v_measure
|
| 3179 |
value: 34.24621118290122
|
|
|
|
| 3184 |
name: MTEB MedrxivClusteringS2S
|
| 3185 |
config: default
|
| 3186 |
split: test
|
| 3187 |
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revision: 3cd0e71dfbe09d4de0f9e5ecba43e7ce280959dc
|
| 3188 |
metrics:
|
| 3189 |
- type: v_measure
|
| 3190 |
value: 32.24202424478886
|
|
|
|
| 3195 |
name: MTEB MindSmallReranking
|
| 3196 |
config: default
|
| 3197 |
split: test
|
| 3198 |
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revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
|
| 3199 |
metrics:
|
| 3200 |
- type: map
|
| 3201 |
value: 31.024522945679166
|
|
|
|
| 3208 |
name: MTEB NFCorpus
|
| 3209 |
config: default
|
| 3210 |
split: test
|
| 3211 |
+
revision: 7eb63cc0c1eb59324d709ebed25fcab851fa7610
|
| 3212 |
metrics:
|
| 3213 |
- type: map_at_1
|
| 3214 |
value: 5.156000000000001
|
|
|
|
| 3277 |
name: MTEB NQ
|
| 3278 |
config: default
|
| 3279 |
split: test
|
| 3280 |
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revision: 6062aefc120bfe8ece5897809fb2e53bfe0d128c
|
| 3281 |
metrics:
|
| 3282 |
- type: map_at_1
|
| 3283 |
value: 23.672
|
|
|
|
| 3346 |
name: MTEB QuoraRetrieval
|
| 3347 |
config: default
|
| 3348 |
split: test
|
| 3349 |
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revision: 6205996560df11e3a3da9ab4f926788fc30a7db4
|
| 3350 |
metrics:
|
| 3351 |
- type: map_at_1
|
| 3352 |
value: 69.667
|
|
|
|
| 3415 |
name: MTEB RedditClustering
|
| 3416 |
config: default
|
| 3417 |
split: test
|
| 3418 |
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revision: b2805658ae38990172679479369a78b86de8c390
|
| 3419 |
metrics:
|
| 3420 |
- type: v_measure
|
| 3421 |
value: 51.177545122684634
|
|
|
|
| 3426 |
name: MTEB RedditClusteringP2P
|
| 3427 |
config: default
|
| 3428 |
split: test
|
| 3429 |
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revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
|
| 3430 |
metrics:
|
| 3431 |
- type: v_measure
|
| 3432 |
value: 54.804652123126985
|
|
|
|
| 3437 |
name: MTEB SCIDOCS
|
| 3438 |
config: default
|
| 3439 |
split: test
|
| 3440 |
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revision: 5c59ef3e437a0a9651c8fe6fde943e7dce59fba5
|
| 3441 |
metrics:
|
| 3442 |
- type: map_at_1
|
| 3443 |
value: 5.162
|
|
|
|
| 3506 |
name: MTEB SICK-R
|
| 3507 |
config: default
|
| 3508 |
split: test
|
| 3509 |
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revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
|
| 3510 |
metrics:
|
| 3511 |
- type: cos_sim_pearson
|
| 3512 |
value: 84.73414727754201
|
|
|
|
| 3527 |
name: MTEB STS12
|
| 3528 |
config: default
|
| 3529 |
split: test
|
| 3530 |
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revision: fdf84275bb8ce4b49c971d02e84dd1abc677a50f
|
| 3531 |
metrics:
|
| 3532 |
- type: cos_sim_pearson
|
| 3533 |
value: 82.89241604274538
|
|
|
|
| 3548 |
name: MTEB STS13
|
| 3549 |
config: default
|
| 3550 |
split: test
|
| 3551 |
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revision: 1591bfcbe8c69d4bf7fe2a16e2451017832cafb9
|
| 3552 |
metrics:
|
| 3553 |
- type: cos_sim_pearson
|
| 3554 |
value: 81.65439991719452
|
|
|
|
| 3569 |
name: MTEB STS14
|
| 3570 |
config: default
|
| 3571 |
split: test
|
| 3572 |
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revision: e2125984e7df8b7871f6ae9949cf6b6795e7c54b
|
| 3573 |
metrics:
|
| 3574 |
- type: cos_sim_pearson
|
| 3575 |
value: 81.66945263546415
|
|
|
|
| 3590 |
name: MTEB STS15
|
| 3591 |
config: default
|
| 3592 |
split: test
|
| 3593 |
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revision: 1cd7298cac12a96a373b6a2f18738bb3e739a9b6
|
| 3594 |
metrics:
|
| 3595 |
- type: cos_sim_pearson
|
| 3596 |
value: 84.80085528616004
|
|
|
|
| 3611 |
name: MTEB STS16
|
| 3612 |
config: default
|
| 3613 |
split: test
|
| 3614 |
+
revision: 360a0b2dff98700d09e634a01e1cc1624d3e42cd
|
| 3615 |
metrics:
|
| 3616 |
- type: cos_sim_pearson
|
| 3617 |
value: 79.32666585707851
|
|
|
|
| 3632 |
name: MTEB STS17 (ko-ko)
|
| 3633 |
config: ko-ko
|
| 3634 |
split: test
|
| 3635 |
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revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
| 3636 |
metrics:
|
| 3637 |
- type: cos_sim_pearson
|
| 3638 |
value: 36.97351108396674
|
|
|
|
| 3653 |
name: MTEB STS17 (ar-ar)
|
| 3654 |
config: ar-ar
|
| 3655 |
split: test
|
| 3656 |
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revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
| 3657 |
metrics:
|
| 3658 |
- type: cos_sim_pearson
|
| 3659 |
value: 54.25766812232355
|
|
|
|
| 3674 |
name: MTEB STS17 (en-ar)
|
| 3675 |
config: en-ar
|
| 3676 |
split: test
|
| 3677 |
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revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
| 3678 |
metrics:
|
| 3679 |
- type: cos_sim_pearson
|
| 3680 |
value: 2.000902150291317
|
|
|
|
| 3695 |
name: MTEB STS17 (en-de)
|
| 3696 |
config: en-de
|
| 3697 |
split: test
|
| 3698 |
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revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
| 3699 |
metrics:
|
| 3700 |
- type: cos_sim_pearson
|
| 3701 |
value: 31.103076250241756
|
|
|
|
| 3716 |
name: MTEB STS17 (en-en)
|
| 3717 |
config: en-en
|
| 3718 |
split: test
|
| 3719 |
+
revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
| 3720 |
metrics:
|
| 3721 |
- type: cos_sim_pearson
|
| 3722 |
value: 88.92662843843466
|
|
|
|
| 3737 |
name: MTEB STS17 (en-tr)
|
| 3738 |
config: en-tr
|
| 3739 |
split: test
|
| 3740 |
+
revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
| 3741 |
metrics:
|
| 3742 |
- type: cos_sim_pearson
|
| 3743 |
value: 6.699439791440673
|
|
|
|
| 3758 |
name: MTEB STS17 (es-en)
|
| 3759 |
config: es-en
|
| 3760 |
split: test
|
| 3761 |
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revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
| 3762 |
metrics:
|
| 3763 |
- type: cos_sim_pearson
|
| 3764 |
value: 22.332768127048812
|
|
|
|
| 3779 |
name: MTEB STS17 (es-es)
|
| 3780 |
config: es-es
|
| 3781 |
split: test
|
| 3782 |
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revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
| 3783 |
metrics:
|
| 3784 |
- type: cos_sim_pearson
|
| 3785 |
value: 78.59529102081041
|
|
|
|
| 3800 |
name: MTEB STS17 (fr-en)
|
| 3801 |
config: fr-en
|
| 3802 |
split: test
|
| 3803 |
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revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
| 3804 |
metrics:
|
| 3805 |
- type: cos_sim_pearson
|
| 3806 |
value: 34.19498070710533
|
|
|
|
| 3821 |
name: MTEB STS17 (it-en)
|
| 3822 |
config: it-en
|
| 3823 |
split: test
|
| 3824 |
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revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
| 3825 |
metrics:
|
| 3826 |
- type: cos_sim_pearson
|
| 3827 |
value: 25.84186641167081
|
|
|
|
| 3842 |
name: MTEB STS17 (nl-en)
|
| 3843 |
config: nl-en
|
| 3844 |
split: test
|
| 3845 |
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revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
| 3846 |
metrics:
|
| 3847 |
- type: cos_sim_pearson
|
| 3848 |
value: 31.68262883322153
|
|
|
|
| 3863 |
name: MTEB STS22 (en)
|
| 3864 |
config: en
|
| 3865 |
split: test
|
| 3866 |
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revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
| 3867 |
metrics:
|
| 3868 |
- type: cos_sim_pearson
|
| 3869 |
value: 66.82398288868168
|
|
|
|
| 3884 |
name: MTEB STS22 (de)
|
| 3885 |
config: de
|
| 3886 |
split: test
|
| 3887 |
+
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
| 3888 |
metrics:
|
| 3889 |
- type: cos_sim_pearson
|
| 3890 |
value: 18.956935297479266
|
|
|
|
| 3905 |
name: MTEB STS22 (es)
|
| 3906 |
config: es
|
| 3907 |
split: test
|
| 3908 |
+
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
| 3909 |
metrics:
|
| 3910 |
- type: cos_sim_pearson
|
| 3911 |
value: 43.159634114474954
|
|
|
|
| 3926 |
name: MTEB STS22 (pl)
|
| 3927 |
config: pl
|
| 3928 |
split: test
|
| 3929 |
+
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
| 3930 |
metrics:
|
| 3931 |
- type: cos_sim_pearson
|
| 3932 |
value: 2.9506287366804567
|
|
|
|
| 3947 |
name: MTEB STS22 (tr)
|
| 3948 |
config: tr
|
| 3949 |
split: test
|
| 3950 |
+
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
| 3951 |
metrics:
|
| 3952 |
- type: cos_sim_pearson
|
| 3953 |
value: 17.494702940326327
|
|
|
|
| 3968 |
name: MTEB STS22 (ar)
|
| 3969 |
config: ar
|
| 3970 |
split: test
|
| 3971 |
+
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
| 3972 |
metrics:
|
| 3973 |
- type: cos_sim_pearson
|
| 3974 |
value: 21.455304899947475
|
|
|
|
| 3989 |
name: MTEB STS22 (ru)
|
| 3990 |
config: ru
|
| 3991 |
split: test
|
| 3992 |
+
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
| 3993 |
metrics:
|
| 3994 |
- type: cos_sim_pearson
|
| 3995 |
value: 5.725870260172754
|
|
|
|
| 4010 |
name: MTEB STS22 (zh)
|
| 4011 |
config: zh
|
| 4012 |
split: test
|
| 4013 |
+
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
| 4014 |
metrics:
|
| 4015 |
- type: cos_sim_pearson
|
| 4016 |
value: 23.644675903928903
|
|
|
|
| 4031 |
name: MTEB STS22 (fr)
|
| 4032 |
config: fr
|
| 4033 |
split: test
|
| 4034 |
+
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
| 4035 |
metrics:
|
| 4036 |
- type: cos_sim_pearson
|
| 4037 |
value: 68.19096417445061
|
|
|
|
| 4052 |
name: MTEB STS22 (de-en)
|
| 4053 |
config: de-en
|
| 4054 |
split: test
|
| 4055 |
+
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
| 4056 |
metrics:
|
| 4057 |
- type: cos_sim_pearson
|
| 4058 |
value: 47.02727261965111
|
|
|
|
| 4073 |
name: MTEB STS22 (es-en)
|
| 4074 |
config: es-en
|
| 4075 |
split: test
|
| 4076 |
+
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
| 4077 |
metrics:
|
| 4078 |
- type: cos_sim_pearson
|
| 4079 |
value: 52.54253509229287
|
|
|
|
| 4094 |
name: MTEB STS22 (it)
|
| 4095 |
config: it
|
| 4096 |
split: test
|
| 4097 |
+
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
| 4098 |
metrics:
|
| 4099 |
- type: cos_sim_pearson
|
| 4100 |
value: 48.017241684543656
|
|
|
|
| 4115 |
name: MTEB STS22 (pl-en)
|
| 4116 |
config: pl-en
|
| 4117 |
split: test
|
| 4118 |
+
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
| 4119 |
metrics:
|
| 4120 |
- type: cos_sim_pearson
|
| 4121 |
value: 43.16723254329198
|
|
|
|
| 4136 |
name: MTEB STS22 (zh-en)
|
| 4137 |
config: zh-en
|
| 4138 |
split: test
|
| 4139 |
+
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
| 4140 |
metrics:
|
| 4141 |
- type: cos_sim_pearson
|
| 4142 |
value: 42.614472380988
|
|
|
|
| 4157 |
name: MTEB STS22 (es-it)
|
| 4158 |
config: es-it
|
| 4159 |
split: test
|
| 4160 |
+
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
| 4161 |
metrics:
|
| 4162 |
- type: cos_sim_pearson
|
| 4163 |
value: 41.19025498086497
|
|
|
|
| 4178 |
name: MTEB STS22 (de-fr)
|
| 4179 |
config: de-fr
|
| 4180 |
split: test
|
| 4181 |
+
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
| 4182 |
metrics:
|
| 4183 |
- type: cos_sim_pearson
|
| 4184 |
value: 42.58930629526249
|
|
|
|
| 4199 |
name: MTEB STS22 (de-pl)
|
| 4200 |
config: de-pl
|
| 4201 |
split: test
|
| 4202 |
+
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
| 4203 |
metrics:
|
| 4204 |
- type: cos_sim_pearson
|
| 4205 |
value: 9.14354524166508
|
|
|
|
| 4220 |
name: MTEB STS22 (fr-pl)
|
| 4221 |
config: fr-pl
|
| 4222 |
split: test
|
| 4223 |
+
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
| 4224 |
metrics:
|
| 4225 |
- type: cos_sim_pearson
|
| 4226 |
value: 16.116974803470246
|
|
|
|
| 4241 |
name: MTEB STSBenchmark
|
| 4242 |
config: default
|
| 4243 |
split: test
|
| 4244 |
+
revision: 8913289635987208e6e7c72789e4be2fe94b6abd
|
| 4245 |
metrics:
|
| 4246 |
- type: cos_sim_pearson
|
| 4247 |
value: 83.75945741541354
|
|
|
|
| 4262 |
name: MTEB SciDocsRR
|
| 4263 |
config: default
|
| 4264 |
split: test
|
| 4265 |
+
revision: 56a6d0140cf6356659e2a7c1413286a774468d44
|
| 4266 |
metrics:
|
| 4267 |
- type: map
|
| 4268 |
value: 87.20127714147824
|
|
|
|
| 4275 |
name: MTEB SciFact
|
| 4276 |
config: default
|
| 4277 |
split: test
|
| 4278 |
+
revision: a75ae049398addde9b70f6b268875f5cbce99089
|
| 4279 |
metrics:
|
| 4280 |
- type: map_at_1
|
| 4281 |
value: 47.483
|
|
|
|
| 4344 |
name: MTEB SprintDuplicateQuestions
|
| 4345 |
config: default
|
| 4346 |
split: test
|
| 4347 |
+
revision: 5a8256d0dff9c4bd3be3ba3e67e4e70173f802ea
|
| 4348 |
metrics:
|
| 4349 |
- type: cos_sim_accuracy
|
| 4350 |
value: 99.72871287128713
|
|
|
|
| 4399 |
name: MTEB StackExchangeClustering
|
| 4400 |
config: default
|
| 4401 |
split: test
|
| 4402 |
+
revision: 70a89468f6dccacc6aa2b12a6eac54e74328f235
|
| 4403 |
metrics:
|
| 4404 |
- type: v_measure
|
| 4405 |
value: 53.04887987709521
|
|
|
|
| 4410 |
name: MTEB StackExchangeClusteringP2P
|
| 4411 |
config: default
|
| 4412 |
split: test
|
| 4413 |
+
revision: d88009ab563dd0b16cfaf4436abaf97fa3550cf0
|
| 4414 |
metrics:
|
| 4415 |
- type: v_measure
|
| 4416 |
value: 33.133116286225686
|
|
|
|
| 4421 |
name: MTEB StackOverflowDupQuestions
|
| 4422 |
config: default
|
| 4423 |
split: test
|
| 4424 |
+
revision: ef807ea29a75ec4f91b50fd4191cb4ee4589a9f9
|
| 4425 |
metrics:
|
| 4426 |
- type: map
|
| 4427 |
value: 51.4732035634667
|
|
|
|
| 4434 |
name: MTEB SummEval
|
| 4435 |
config: default
|
| 4436 |
split: test
|
| 4437 |
+
revision: 8753c2788d36c01fc6f05d03fe3f7268d63f9122
|
| 4438 |
metrics:
|
| 4439 |
- type: cos_sim_pearson
|
| 4440 |
value: 29.365093191497525
|
|
|
|
| 4451 |
name: MTEB TRECCOVID
|
| 4452 |
config: default
|
| 4453 |
split: test
|
| 4454 |
+
revision: 2c8041b2c07a79b6f7ba8fe6acc72e5d9f92d217
|
| 4455 |
metrics:
|
| 4456 |
- type: map_at_1
|
| 4457 |
value: 0.17600000000000002
|
|
|
|
| 4520 |
name: MTEB Touche2020
|
| 4521 |
config: default
|
| 4522 |
split: test
|
| 4523 |
+
revision: 527b7d77e16e343303e68cb6af11d6e18b9f7b3b
|
| 4524 |
metrics:
|
| 4525 |
- type: map_at_1
|
| 4526 |
value: 1.813
|
|
|
|
| 4589 |
name: MTEB ToxicConversationsClassification
|
| 4590 |
config: default
|
| 4591 |
split: test
|
| 4592 |
+
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
|
| 4593 |
metrics:
|
| 4594 |
- type: accuracy
|
| 4595 |
value: 67.4694
|
|
|
|
| 4604 |
name: MTEB TweetSentimentExtractionClassification
|
| 4605 |
config: default
|
| 4606 |
split: test
|
| 4607 |
+
revision: 62146448f05be9e52a36b8ee9936447ea787eede
|
| 4608 |
metrics:
|
| 4609 |
- type: accuracy
|
| 4610 |
value: 54.25297113752122
|
|
|
|
| 4617 |
name: MTEB TwentyNewsgroupsClustering
|
| 4618 |
config: default
|
| 4619 |
split: test
|
| 4620 |
+
revision: 091a54f9a36281ce7d6590ec8c75dd485e7e01d4
|
| 4621 |
metrics:
|
| 4622 |
- type: v_measure
|
| 4623 |
value: 47.467044776612376
|
|
|
|
| 4628 |
name: MTEB TwitterSemEval2015
|
| 4629 |
config: default
|
| 4630 |
split: test
|
| 4631 |
+
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
|
| 4632 |
metrics:
|
| 4633 |
- type: cos_sim_accuracy
|
| 4634 |
value: 84.78869881385229
|
|
|
|
| 4683 |
name: MTEB TwitterURLCorpus
|
| 4684 |
config: default
|
| 4685 |
split: test
|
| 4686 |
+
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
|
| 4687 |
metrics:
|
| 4688 |
- type: cos_sim_accuracy
|
| 4689 |
value: 88.4367601971514
|
|
|
|
| 4795 |
|
| 4796 |
## Evaluation Results
|
| 4797 |
|
| 4798 |
+
For an automated evaluation of this model, see *MTEB*: https://huggingface.co/spaces/mteb/leaderboard or the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name=sentence-transformers/all-MiniLM-L12-v2)
|
| 4799 |
|
| 4800 |
------
|
| 4801 |
|