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universal-sentence-encoder-multilingual-3

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2
  This is a part of the [MTEB test](https://huggingface.co/spaces/mteb/leaderboard).
3
 
4
  ```
 
1
+ ---
2
+ tags:
3
+ - mteb
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+ model-index:
5
+ - name: universal-sentence-encoder-multilingual-3
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+ results:
7
+ - task:
8
+ type: Classification
9
+ dataset:
10
+ type: mteb/amazon_counterfactual
11
+ name: MTEB AmazonCounterfactualClassification (en)
12
+ config: en
13
+ split: test
14
+ revision: e8379541af4e31359cca9fbcf4b00f2671dba205
15
+ metrics:
16
+ - type: accuracy
17
+ value: 69.83582089552239
18
+ - type: ap
19
+ value: 31.78315481798218
20
+ - type: f1
21
+ value: 63.49599891839609
22
+ - task:
23
+ type: Classification
24
+ dataset:
25
+ type: mteb/amazon_polarity
26
+ name: MTEB AmazonPolarityClassification
27
+ config: default
28
+ split: test
29
+ revision: e2d317d38cd51312af73b3d32a06d1a08b442046
30
+ metrics:
31
+ - type: accuracy
32
+ value: 65.24337500000001
33
+ - type: ap
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+ value: 60.210780218392365
35
+ - type: f1
36
+ value: 64.93158500771304
37
+ - task:
38
+ type: Classification
39
+ dataset:
40
+ type: mteb/amazon_reviews_multi
41
+ name: MTEB AmazonReviewsClassification (en)
42
+ config: en
43
+ split: test
44
+ revision: 1399c76144fd37290681b995c656ef9b2e06e26d
45
+ metrics:
46
+ - type: accuracy
47
+ value: 33.95400000000001
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+ - type: f1
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+ value: 33.54319450350246
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+ - task:
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+ type: Clustering
52
+ dataset:
53
+ type: mteb/arxiv-clustering-p2p
54
+ name: MTEB ArxivClusteringP2P
55
+ config: default
56
+ split: test
57
+ revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
58
+ metrics:
59
+ - type: v_measure
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+ value: 33.721026148085606
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+ - task:
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+ type: Clustering
63
+ dataset:
64
+ type: mteb/arxiv-clustering-s2s
65
+ name: MTEB ArxivClusteringS2S
66
+ config: default
67
+ split: test
68
+ revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
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+ metrics:
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+ - type: v_measure
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+ value: 23.989923856346987
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+ - task:
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+ type: STS
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+ dataset:
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+ type: mteb/biosses-sts
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+ name: MTEB BIOSSES
77
+ config: default
78
+ split: test
79
+ revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
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+ metrics:
81
+ - type: cos_sim_pearson
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+ value: 80.07123979932489
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+ - type: cos_sim_spearman
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+ value: 78.19395037690312
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+ - type: euclidean_pearson
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+ value: 78.16919457797398
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+ - type: euclidean_spearman
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+ value: 78.19395037690312
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+ - type: manhattan_pearson
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+ value: 77.91224702148509
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+ - type: manhattan_spearman
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+ value: 77.37284733016378
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+ - task:
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+ type: Classification
95
+ dataset:
96
+ type: mteb/banking77
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+ name: MTEB Banking77Classification
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+ config: default
99
+ split: test
100
+ revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
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+ metrics:
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+ - type: accuracy
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+ value: 72.78571428571429
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+ - type: f1
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+ value: 71.7761168332973
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+ - task:
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+ type: Clustering
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+ dataset:
109
+ type: mteb/biorxiv-clustering-p2p
110
+ name: MTEB BiorxivClusteringP2P
111
+ config: default
112
+ split: test
113
+ revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
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+ metrics:
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+ - type: v_measure
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+ value: 30.883580770801693
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+ - task:
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+ type: Clustering
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+ dataset:
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+ type: mteb/biorxiv-clustering-s2s
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+ name: MTEB BiorxivClusteringS2S
122
+ config: default
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+ split: test
124
+ revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
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+ metrics:
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+ - type: v_measure
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+ value: 21.053335896002615
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/emotion
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+ name: MTEB EmotionClassification
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+ config: default
134
+ split: test
135
+ revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
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+ metrics:
137
+ - type: accuracy
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+ value: 35.6
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+ - type: f1
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+ value: 32.46907363797937
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/imdb
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+ name: MTEB ImdbClassification
146
+ config: default
147
+ split: test
148
+ revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
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+ metrics:
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+ - type: accuracy
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+ value: 66.32400000000001
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+ - type: ap
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+ value: 60.96534738097902
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+ - type: f1
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+ value: 66.17106527460737
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+ - task:
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+ type: Classification
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+ dataset:
159
+ type: mteb/mtop_domain
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+ name: MTEB MTOPDomainClassification (en)
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+ config: en
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+ split: test
163
+ revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
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+ metrics:
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+ - type: accuracy
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+ value: 90.40355677154584
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+ - type: f1
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/mtop_intent
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+ name: MTEB MTOPIntentClassification (en)
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+ config: en
175
+ split: test
176
+ revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
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+ metrics:
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+ - type: accuracy
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+ value: 62.282261741906076
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+ value: 42.66509438922704
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+ - task:
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+ type: Classification
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+ dataset:
185
+ type: mteb/amazon_massive_intent
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+ name: MTEB MassiveIntentClassification (en)
187
+ config: en
188
+ split: test
189
+ revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
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+ metrics:
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+ - type: accuracy
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+ value: 66.11634162743779
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+ - type: f1
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+ value: 63.22561882532336
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+ - task:
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+ type: Classification
197
+ dataset:
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+ type: mteb/amazon_massive_scenario
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+ name: MTEB MassiveScenarioClassification (en)
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+ config: en
201
+ split: test
202
+ revision: 7d571f92784cd94a019292a1f45445077d0ef634
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+ metrics:
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+ - type: accuracy
205
+ value: 73.73570948217888
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+ - type: f1
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+ value: 72.60926811627525
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+ - task:
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+ type: Clustering
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+ dataset:
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+ type: mteb/medrxiv-clustering-p2p
212
+ name: MTEB MedrxivClusteringP2P
213
+ config: default
214
+ split: test
215
+ revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
216
+ metrics:
217
+ - type: v_measure
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+ value: 28.682218411117113
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+ - task:
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+ type: Clustering
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+ dataset:
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+ type: mteb/medrxiv-clustering-s2s
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+ name: MTEB MedrxivClusteringS2S
224
+ config: default
225
+ split: test
226
+ revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
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+ metrics:
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+ - type: v_measure
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+ value: 24.249068423345125
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+ - task:
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+ type: Clustering
232
+ dataset:
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+ type: mteb/reddit-clustering
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+ name: MTEB RedditClustering
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+ config: default
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+ split: test
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+ revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
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+ metrics:
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+ - type: v_measure
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+ value: 43.81857444082751
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+ - task:
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+ type: Clustering
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+ dataset:
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+ type: mteb/reddit-clustering-p2p
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+ name: MTEB RedditClusteringP2P
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+ config: default
247
+ split: test
248
+ revision: 282350215ef01743dc01b456c7f5241fa8937f16
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+ metrics:
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+ - type: v_measure
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+ value: 58.37019068224756
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+ - task:
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+ type: STS
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+ dataset:
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+ type: mteb/sickr-sts
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+ name: MTEB SICK-R
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+ config: default
258
+ split: test
259
+ revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
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+ metrics:
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+ - type: cos_sim_pearson
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+ - type: cos_sim_spearman
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+ - type: euclidean_pearson
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+ value: 77.56731280002846
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+ - type: euclidean_spearman
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+ value: 74.43055238430316
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+ - type: manhattan_pearson
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+ value: 77.0225674793828
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+ - type: manhattan_spearman
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+ value: 73.0157763009755
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+ - task:
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+ type: STS
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+ dataset:
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+ type: mteb/sts12-sts
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+ name: MTEB STS12
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+ config: default
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+ split: test
280
+ revision: a0d554a64d88156834ff5ae9920b964011b16384
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+ - type: cos_sim_spearman
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+ value: 72.57556877265816
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+ - type: euclidean_pearson
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+ value: 73.85821376234655
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+ value: 72.57491371628555
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+ - type: manhattan_pearson
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+ - type: manhattan_spearman
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+ - task:
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+ type: STS
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+ dataset:
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+ type: mteb/sts13-sts
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+ name: MTEB STS13
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+ config: default
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+ split: test
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+ revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
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+ - type: euclidean_pearson
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+ - type: euclidean_spearman
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+ - type: manhattan_pearson
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+ - type: manhattan_spearman
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+ - task:
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+ type: STS
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+ dataset:
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+ type: mteb/sts14-sts
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+ name: MTEB STS14
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+ config: default
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+ split: test
322
+ revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
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+ type: mteb/sts15-sts
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+ name: MTEB STS15
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+ split: test
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+ - type: manhattan_spearman
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+ - task:
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+ type: STS
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+ dataset:
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+ type: mteb/sts17-crosslingual-sts
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+ name: MTEB STS17 (en-en)
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+ config: en-en
384
+ split: test
385
+ revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
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+ metrics:
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+ - type: cos_sim_pearson
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+ - task:
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+ type: mteb/sts22-crosslingual-sts
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+ config: en
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+ - task:
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+ dataset:
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+ type: mteb/stsbenchmark-sts
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+ name: MTEB STSBenchmark
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+ split: test
427
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+ - type: manhattan_spearman
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+ - task:
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+ type: PairClassification
443
+ dataset:
444
+ type: mteb/sprintduplicatequestions-pairclassification
445
+ name: MTEB SprintDuplicateQuestions
446
+ config: default
447
+ split: test
448
+ revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
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+ metrics:
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+ - type: cos_sim_accuracy
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+ - type: cos_sim_ap
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+ - type: cos_sim_recall
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+ - type: dot_accuracy
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+ - type: dot_ap
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+ - type: dot_f1
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+ - type: euclidean_ap
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+ - type: manhattan_accuracy
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+ - type: manhattan_recall
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+ - type: max_accuracy
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+ - task:
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+ type: Clustering
498
+ dataset:
499
+ type: mteb/stackexchange-clustering
500
+ name: MTEB StackExchangeClustering
501
+ config: default
502
+ split: test
503
+ revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
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+ metrics:
505
+ - type: v_measure
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+ - task:
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+ type: Clustering
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510
+ type: mteb/stackexchange-clustering-p2p
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+ name: MTEB StackExchangeClusteringP2P
512
+ config: default
513
+ split: test
514
+ revision: 815ca46b2622cec33ccafc3735d572c266efdb44
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+ metrics:
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+ - task:
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+ type: Summarization
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+ type: mteb/summeval
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+ name: MTEB SummEval
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+ config: default
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+ split: test
525
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+ - type: cos_sim_pearson
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+ value: 30.793100826598852
531
+ - type: dot_pearson
532
+ value: 30.934611387819803
533
+ - type: dot_spearman
534
+ value: 30.793100826598852
535
+ - task:
536
+ type: Classification
537
+ dataset:
538
+ type: mteb/toxic_conversations_50k
539
+ name: MTEB ToxicConversationsClassification
540
+ config: default
541
+ split: test
542
+ revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
543
+ metrics:
544
+ - type: accuracy
545
+ value: 67.56439999999999
546
+ - type: ap
547
+ value: 12.622864890343005
548
+ - type: f1
549
+ value: 51.866745839430514
550
+ - task:
551
+ type: Classification
552
+ dataset:
553
+ type: mteb/tweet_sentiment_extraction
554
+ name: MTEB TweetSentimentExtractionClassification
555
+ config: default
556
+ split: test
557
+ revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
558
+ metrics:
559
+ - type: accuracy
560
+ value: 57.2354272778721
561
+ - type: f1
562
+ value: 57.42332031933637
563
+ - task:
564
+ type: Clustering
565
+ dataset:
566
+ type: mteb/twentynewsgroups-clustering
567
+ name: MTEB TwentyNewsgroupsClustering
568
+ config: default
569
+ split: test
570
+ revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
571
+ metrics:
572
+ - type: v_measure
573
+ value: 37.46769271159515
574
+ - task:
575
+ type: PairClassification
576
+ dataset:
577
+ type: mteb/twittersemeval2015-pairclassification
578
+ name: MTEB TwitterSemEval2015
579
+ config: default
580
+ split: test
581
+ revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
582
+ metrics:
583
+ - type: cos_sim_accuracy
584
+ value: 81.53424330929249
585
+ - type: cos_sim_ap
586
+ value: 57.033163698414114
587
+ - type: cos_sim_f1
588
+ value: 54.54983148772268
589
+ - type: cos_sim_precision
590
+ value: 50.154935812306334
591
+ - type: cos_sim_recall
592
+ value: 59.788918205804755
593
+ - type: dot_accuracy
594
+ value: 81.53424330929249
595
+ - type: dot_ap
596
+ value: 57.03315710343203
597
+ - type: dot_f1
598
+ value: 54.54983148772268
599
+ - type: dot_precision
600
+ value: 50.154935812306334
601
+ - type: dot_recall
602
+ value: 59.788918205804755
603
+ - type: euclidean_accuracy
604
+ value: 81.53424330929249
605
+ - type: euclidean_ap
606
+ value: 57.033158170117446
607
+ - type: euclidean_f1
608
+ value: 54.54983148772268
609
+ - type: euclidean_precision
610
+ value: 50.154935812306334
611
+ - type: euclidean_recall
612
+ value: 59.788918205804755
613
+ - type: manhattan_accuracy
614
+ value: 81.29582166060678
615
+ - type: manhattan_ap
616
+ value: 55.74973597316332
617
+ - type: manhattan_f1
618
+ value: 53.15203955500617
619
+ - type: manhattan_precision
620
+ value: 50.0
621
+ - type: manhattan_recall
622
+ value: 56.72823218997362
623
+ - type: max_accuracy
624
+ value: 81.53424330929249
625
+ - type: max_ap
626
+ value: 57.033163698414114
627
+ - type: max_f1
628
+ value: 54.54983148772268
629
+ - task:
630
+ type: PairClassification
631
+ dataset:
632
+ type: mteb/twitterurlcorpus-pairclassification
633
+ name: MTEB TwitterURLCorpus
634
+ config: default
635
+ split: test
636
+ revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
637
+ metrics:
638
+ - type: cos_sim_accuracy
639
+ value: 87.27053983777701
640
+ - type: cos_sim_ap
641
+ value: 82.20632443836952
642
+ - type: cos_sim_f1
643
+ value: 74.4764795144158
644
+ - type: cos_sim_precision
645
+ value: 73.40711935387377
646
+ - type: cos_sim_recall
647
+ value: 75.57745611333539
648
+ - type: dot_accuracy
649
+ value: 87.27053983777701
650
+ - type: dot_ap
651
+ value: 82.20632570091198
652
+ - type: dot_f1
653
+ value: 74.4764795144158
654
+ - type: dot_precision
655
+ value: 73.40711935387377
656
+ - type: dot_recall
657
+ value: 75.57745611333539
658
+ - type: euclidean_accuracy
659
+ value: 87.27053983777701
660
+ - type: euclidean_ap
661
+ value: 82.20632379487282
662
+ - type: euclidean_f1
663
+ value: 74.4764795144158
664
+ - type: euclidean_precision
665
+ value: 73.40711935387377
666
+ - type: euclidean_recall
667
+ value: 75.57745611333539
668
+ - type: manhattan_accuracy
669
+ value: 87.18321884581053
670
+ - type: manhattan_ap
671
+ value: 81.95324384723243
672
+ - type: manhattan_f1
673
+ value: 74.28318388132404
674
+ - type: manhattan_precision
675
+ value: 71.32733328608887
676
+ - type: manhattan_recall
677
+ value: 77.49461040960887
678
+ - type: max_accuracy
679
+ value: 87.27053983777701
680
+ - type: max_ap
681
+ value: 82.20632570091198
682
+ - type: max_f1
683
+ value: 74.4764795144158
684
+ ---
685
  This is a part of the [MTEB test](https://huggingface.co/spaces/mteb/leaderboard).
686
 
687
  ```