Update README.md
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README.md
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@@ -4,6 +4,71 @@ tags:
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model-index:
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- name: universal-sentence-encoder-multilingual-large-3
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results:
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- task:
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type: STS
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dataset:
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@@ -25,6 +90,165 @@ model-index:
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value: 79.0536298599996
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- type: manhattan_spearman
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value: 79.15240595090333
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- task:
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type: STS
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dataset:
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value: 81.20700319509191
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- type: manhattan_spearman
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value: 80.56078137874846
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- task:
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type: Summarization
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dataset:
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value: 30.459236115198866
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- type: dot_spearman
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value: 29.714606257782066
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---
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This is a part of the [MTEB test](https://huggingface.co/spaces/mteb/leaderboard).
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```
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model-index:
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- name: universal-sentence-encoder-multilingual-large-3
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results:
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+
- task:
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+
type: Classification
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+
dataset:
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+
type: mteb/amazon_counterfactual
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name: MTEB AmazonCounterfactualClassification (en)
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config: en
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+
split: test
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+
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
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| 15 |
+
metrics:
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+
- type: accuracy
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+
value: 70.80597014925372
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+
- type: ap
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+
value: 32.82048192776259
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+
- type: f1
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+
value: 64.5323001151201
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+
- task:
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+
type: Classification
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+
dataset:
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+
type: mteb/amazon_polarity
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name: MTEB AmazonPolarityClassification
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+
config: default
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+
split: test
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+
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
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| 30 |
+
metrics:
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+
- type: accuracy
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| 32 |
+
value: 67.04549999999999
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| 33 |
+
- type: ap
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+
value: 61.7344066191823
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+
- type: f1
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+
value: 66.66233213924507
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+
- task:
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+
type: Classification
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+
dataset:
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type: mteb/amazon_reviews_multi
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name: MTEB AmazonReviewsClassification (en)
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config: en
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+
split: test
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+
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
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+
metrics:
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- type: accuracy
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+
value: 35.85
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+
- type: f1
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+
value: 35.332188148679464
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+
- task:
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+
type: Clustering
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dataset:
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type: mteb/arxiv-clustering-p2p
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name: MTEB ArxivClusteringP2P
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config: default
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split: test
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revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
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+
metrics:
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- type: v_measure
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value: 34.745135349238126
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+
- task:
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type: Clustering
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dataset:
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type: mteb/arxiv-clustering-s2s
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name: MTEB ArxivClusteringS2S
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config: default
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split: test
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+
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
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+
metrics:
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- type: v_measure
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+
value: 22.620886813816306
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- task:
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type: STS
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dataset:
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value: 79.0536298599996
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- type: manhattan_spearman
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value: 79.15240595090333
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+
- task:
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type: Classification
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+
dataset:
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type: mteb/banking77
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name: MTEB Banking77Classification
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config: default
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+
split: test
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+
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
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| 101 |
+
metrics:
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| 102 |
+
- type: accuracy
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| 103 |
+
value: 74.66883116883116
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| 104 |
+
- type: f1
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+
value: 73.79377347715479
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+
- task:
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+
type: Clustering
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dataset:
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+
type: mteb/biorxiv-clustering-p2p
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| 110 |
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name: MTEB BiorxivClusteringP2P
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config: default
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+
split: test
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| 113 |
+
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
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| 114 |
+
metrics:
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| 115 |
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- type: v_measure
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| 116 |
+
value: 28.750702236182818
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+
- task:
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+
type: Clustering
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dataset:
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| 120 |
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type: mteb/biorxiv-clustering-s2s
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| 121 |
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name: MTEB BiorxivClusteringS2S
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| 122 |
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config: default
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| 123 |
+
split: test
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| 124 |
+
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
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| 125 |
+
metrics:
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| 126 |
+
- type: v_measure
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| 127 |
+
value: 20.142702408387194
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| 128 |
+
- task:
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| 129 |
+
type: Classification
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| 130 |
+
dataset:
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| 131 |
+
type: mteb/emotion
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| 132 |
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name: MTEB EmotionClassification
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| 133 |
+
config: default
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| 134 |
+
split: test
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| 135 |
+
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
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| 136 |
+
metrics:
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| 137 |
+
- type: accuracy
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| 138 |
+
value: 42.30500000000001
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| 139 |
+
- type: f1
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| 140 |
+
value: 38.547388314307206
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| 141 |
+
- task:
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| 142 |
+
type: Classification
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| 143 |
+
dataset:
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| 144 |
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type: mteb/imdb
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| 145 |
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name: MTEB ImdbClassification
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| 146 |
+
config: default
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| 147 |
+
split: test
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| 148 |
+
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
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| 149 |
+
metrics:
|
| 150 |
+
- type: accuracy
|
| 151 |
+
value: 63.690000000000005
|
| 152 |
+
- type: ap
|
| 153 |
+
value: 59.157513278784734
|
| 154 |
+
- type: f1
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| 155 |
+
value: 63.35865572988864
|
| 156 |
+
- task:
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| 157 |
+
type: Classification
|
| 158 |
+
dataset:
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| 159 |
+
type: mteb/mtop_domain
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| 160 |
+
name: MTEB MTOPDomainClassification (en)
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| 161 |
+
config: en
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| 162 |
+
split: test
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| 163 |
+
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
|
| 164 |
+
metrics:
|
| 165 |
+
- type: accuracy
|
| 166 |
+
value: 92.48062015503875
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| 167 |
+
- type: f1
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| 168 |
+
value: 92.14919344822017
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| 169 |
+
- task:
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| 170 |
+
type: Classification
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| 171 |
+
dataset:
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| 172 |
+
type: mteb/mtop_intent
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| 173 |
+
name: MTEB MTOPIntentClassification (en)
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| 174 |
+
config: en
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| 175 |
+
split: test
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| 176 |
+
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
|
| 177 |
+
metrics:
|
| 178 |
+
- type: accuracy
|
| 179 |
+
value: 70.26675786593708
|
| 180 |
+
- type: f1
|
| 181 |
+
value: 47.72003620900994
|
| 182 |
+
- task:
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| 183 |
+
type: Classification
|
| 184 |
+
dataset:
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| 185 |
+
type: mteb/amazon_massive_intent
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| 186 |
+
name: MTEB MassiveIntentClassification (en)
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| 187 |
+
config: en
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| 188 |
+
split: test
|
| 189 |
+
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
|
| 190 |
+
metrics:
|
| 191 |
+
- type: accuracy
|
| 192 |
+
value: 69.04505716207129
|
| 193 |
+
- type: f1
|
| 194 |
+
value: 65.75319040584333
|
| 195 |
+
- task:
|
| 196 |
+
type: Classification
|
| 197 |
+
dataset:
|
| 198 |
+
type: mteb/amazon_massive_scenario
|
| 199 |
+
name: MTEB MassiveScenarioClassification (en)
|
| 200 |
+
config: en
|
| 201 |
+
split: test
|
| 202 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 203 |
+
metrics:
|
| 204 |
+
- type: accuracy
|
| 205 |
+
value: 75.80363147276395
|
| 206 |
+
- type: f1
|
| 207 |
+
value: 74.16118757920125
|
| 208 |
+
- task:
|
| 209 |
+
type: Clustering
|
| 210 |
+
dataset:
|
| 211 |
+
type: mteb/medrxiv-clustering-p2p
|
| 212 |
+
name: MTEB MedrxivClusteringP2P
|
| 213 |
+
config: default
|
| 214 |
+
split: test
|
| 215 |
+
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
|
| 216 |
+
metrics:
|
| 217 |
+
- type: v_measure
|
| 218 |
+
value: 31.197732425855694
|
| 219 |
+
- task:
|
| 220 |
+
type: Clustering
|
| 221 |
+
dataset:
|
| 222 |
+
type: mteb/medrxiv-clustering-s2s
|
| 223 |
+
name: MTEB MedrxivClusteringS2S
|
| 224 |
+
config: default
|
| 225 |
+
split: test
|
| 226 |
+
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
|
| 227 |
+
metrics:
|
| 228 |
+
- type: v_measure
|
| 229 |
+
value: 25.802309075396522
|
| 230 |
+
- task:
|
| 231 |
+
type: Clustering
|
| 232 |
+
dataset:
|
| 233 |
+
type: mteb/reddit-clustering
|
| 234 |
+
name: MTEB RedditClustering
|
| 235 |
+
config: default
|
| 236 |
+
split: test
|
| 237 |
+
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
|
| 238 |
+
metrics:
|
| 239 |
+
- type: v_measure
|
| 240 |
+
value: 46.17008358584782
|
| 241 |
+
- task:
|
| 242 |
+
type: Clustering
|
| 243 |
+
dataset:
|
| 244 |
+
type: mteb/reddit-clustering-p2p
|
| 245 |
+
name: MTEB RedditClusteringP2P
|
| 246 |
+
config: default
|
| 247 |
+
split: test
|
| 248 |
+
revision: 282350215ef01743dc01b456c7f5241fa8937f16
|
| 249 |
+
metrics:
|
| 250 |
+
- type: v_measure
|
| 251 |
+
value: 56.53148530944687
|
| 252 |
- task:
|
| 253 |
type: STS
|
| 254 |
dataset:
|
|
|
|
| 438 |
value: 81.20700319509191
|
| 439 |
- type: manhattan_spearman
|
| 440 |
value: 80.56078137874846
|
| 441 |
+
- task:
|
| 442 |
+
type: PairClassification
|
| 443 |
+
dataset:
|
| 444 |
+
type: mteb/sprintduplicatequestions-pairclassification
|
| 445 |
+
name: MTEB SprintDuplicateQuestions
|
| 446 |
+
config: default
|
| 447 |
+
split: test
|
| 448 |
+
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
|
| 449 |
+
metrics:
|
| 450 |
+
- type: cos_sim_accuracy
|
| 451 |
+
value: 99.71089108910891
|
| 452 |
+
- type: cos_sim_ap
|
| 453 |
+
value: 90.8870929231928
|
| 454 |
+
- type: cos_sim_f1
|
| 455 |
+
value: 85.3719420868697
|
| 456 |
+
- type: cos_sim_precision
|
| 457 |
+
value: 85.24426719840478
|
| 458 |
+
- type: cos_sim_recall
|
| 459 |
+
value: 85.5
|
| 460 |
+
- type: dot_accuracy
|
| 461 |
+
value: 99.71089108910891
|
| 462 |
+
- type: dot_ap
|
| 463 |
+
value: 90.88709292319278
|
| 464 |
+
- type: dot_f1
|
| 465 |
+
value: 85.3719420868697
|
| 466 |
+
- type: dot_precision
|
| 467 |
+
value: 85.24426719840478
|
| 468 |
+
- type: dot_recall
|
| 469 |
+
value: 85.5
|
| 470 |
+
- type: euclidean_accuracy
|
| 471 |
+
value: 99.71089108910891
|
| 472 |
+
- type: euclidean_ap
|
| 473 |
+
value: 90.8870929231928
|
| 474 |
+
- type: euclidean_f1
|
| 475 |
+
value: 85.3719420868697
|
| 476 |
+
- type: euclidean_precision
|
| 477 |
+
value: 85.24426719840478
|
| 478 |
+
- type: euclidean_recall
|
| 479 |
+
value: 85.5
|
| 480 |
+
- type: manhattan_accuracy
|
| 481 |
+
value: 99.72871287128713
|
| 482 |
+
- type: manhattan_ap
|
| 483 |
+
value: 91.50016707647607
|
| 484 |
+
- type: manhattan_f1
|
| 485 |
+
value: 86.21700879765396
|
| 486 |
+
- type: manhattan_precision
|
| 487 |
+
value: 84.32122370936902
|
| 488 |
+
- type: manhattan_recall
|
| 489 |
+
value: 88.2
|
| 490 |
+
- type: max_accuracy
|
| 491 |
+
value: 99.72871287128713
|
| 492 |
+
- type: max_ap
|
| 493 |
+
value: 91.50016707647607
|
| 494 |
+
- type: max_f1
|
| 495 |
+
value: 86.21700879765396
|
| 496 |
+
- task:
|
| 497 |
+
type: Clustering
|
| 498 |
+
dataset:
|
| 499 |
+
type: mteb/stackexchange-clustering
|
| 500 |
+
name: MTEB StackExchangeClustering
|
| 501 |
+
config: default
|
| 502 |
+
split: test
|
| 503 |
+
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
|
| 504 |
+
metrics:
|
| 505 |
+
- type: v_measure
|
| 506 |
+
value: 49.339384566987555
|
| 507 |
+
- task:
|
| 508 |
+
type: Clustering
|
| 509 |
+
dataset:
|
| 510 |
+
type: mteb/stackexchange-clustering-p2p
|
| 511 |
+
name: MTEB StackExchangeClusteringP2P
|
| 512 |
+
config: default
|
| 513 |
+
split: test
|
| 514 |
+
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
|
| 515 |
+
metrics:
|
| 516 |
+
- type: v_measure
|
| 517 |
+
value: 33.39729645390336
|
| 518 |
- task:
|
| 519 |
type: Summarization
|
| 520 |
dataset:
|
|
|
|
| 532 |
value: 30.459236115198866
|
| 533 |
- type: dot_spearman
|
| 534 |
value: 29.714606257782066
|
| 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: 68.223
|
| 546 |
+
- type: ap
|
| 547 |
+
value: 13.10327282975004
|
| 548 |
+
- type: f1
|
| 549 |
+
value: 52.52588280152648
|
| 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: 59.18788907753254
|
| 561 |
+
- type: f1
|
| 562 |
+
value: 59.47679105840768
|
| 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: 36.93253191095803
|
| 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: 83.37009000417238
|
| 585 |
+
- type: cos_sim_ap
|
| 586 |
+
value: 63.75973129735431
|
| 587 |
+
- type: cos_sim_f1
|
| 588 |
+
value: 59.62504595025121
|
| 589 |
+
- type: cos_sim_precision
|
| 590 |
+
value: 55.66231983527798
|
| 591 |
+
- type: cos_sim_recall
|
| 592 |
+
value: 64.1952506596306
|
| 593 |
+
- type: dot_accuracy
|
| 594 |
+
value: 83.37009000417238
|
| 595 |
+
- type: dot_ap
|
| 596 |
+
value: 63.759728820348414
|
| 597 |
+
- type: dot_f1
|
| 598 |
+
value: 59.62504595025121
|
| 599 |
+
- type: dot_precision
|
| 600 |
+
value: 55.66231983527798
|
| 601 |
+
- type: dot_recall
|
| 602 |
+
value: 64.1952506596306
|
| 603 |
+
- type: euclidean_accuracy
|
| 604 |
+
value: 83.37009000417238
|
| 605 |
+
- type: euclidean_ap
|
| 606 |
+
value: 63.75972622477462
|
| 607 |
+
- type: euclidean_f1
|
| 608 |
+
value: 59.62504595025121
|
| 609 |
+
- type: euclidean_precision
|
| 610 |
+
value: 55.66231983527798
|
| 611 |
+
- type: euclidean_recall
|
| 612 |
+
value: 64.1952506596306
|
| 613 |
+
- type: manhattan_accuracy
|
| 614 |
+
value: 83.28068188591524
|
| 615 |
+
- type: manhattan_ap
|
| 616 |
+
value: 63.109413220673375
|
| 617 |
+
- type: manhattan_f1
|
| 618 |
+
value: 59.085923217550274
|
| 619 |
+
- type: manhattan_precision
|
| 620 |
+
value: 54.903737259343146
|
| 621 |
+
- type: manhattan_recall
|
| 622 |
+
value: 63.95778364116095
|
| 623 |
+
- type: max_accuracy
|
| 624 |
+
value: 83.37009000417238
|
| 625 |
+
- type: max_ap
|
| 626 |
+
value: 63.75973129735431
|
| 627 |
+
- type: max_f1
|
| 628 |
+
value: 59.62504595025121
|
| 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: 88.34167733923235
|
| 640 |
+
- type: cos_sim_ap
|
| 641 |
+
value: 84.20066403502292
|
| 642 |
+
- type: cos_sim_f1
|
| 643 |
+
value: 76.64693381906498
|
| 644 |
+
- type: cos_sim_precision
|
| 645 |
+
value: 75.56869200838072
|
| 646 |
+
- type: cos_sim_recall
|
| 647 |
+
value: 77.75639051432091
|
| 648 |
+
- type: dot_accuracy
|
| 649 |
+
value: 88.34167733923235
|
| 650 |
+
- type: dot_ap
|
| 651 |
+
value: 84.20066476075668
|
| 652 |
+
- type: dot_f1
|
| 653 |
+
value: 76.64693381906498
|
| 654 |
+
- type: dot_precision
|
| 655 |
+
value: 75.56869200838072
|
| 656 |
+
- type: dot_recall
|
| 657 |
+
value: 77.75639051432091
|
| 658 |
+
- type: euclidean_accuracy
|
| 659 |
+
value: 88.34167733923235
|
| 660 |
+
- type: euclidean_ap
|
| 661 |
+
value: 84.20066533105057
|
| 662 |
+
- type: euclidean_f1
|
| 663 |
+
value: 76.64693381906498
|
| 664 |
+
- type: euclidean_precision
|
| 665 |
+
value: 75.56869200838072
|
| 666 |
+
- type: euclidean_recall
|
| 667 |
+
value: 77.75639051432091
|
| 668 |
+
- type: manhattan_accuracy
|
| 669 |
+
value: 88.32809407381535
|
| 670 |
+
- type: manhattan_ap
|
| 671 |
+
value: 84.17666758732113
|
| 672 |
+
- type: manhattan_f1
|
| 673 |
+
value: 76.6911654417279
|
| 674 |
+
- type: manhattan_precision
|
| 675 |
+
value: 74.75146198830409
|
| 676 |
+
- type: manhattan_recall
|
| 677 |
+
value: 78.73421619956883
|
| 678 |
+
- type: max_accuracy
|
| 679 |
+
value: 88.34167733923235
|
| 680 |
+
- type: max_ap
|
| 681 |
+
value: 84.20066533105057
|
| 682 |
+
- type: max_f1
|
| 683 |
+
value: 76.6911654417279
|
| 684 |
---
|
| 685 |
+
|
| 686 |
This is a part of the [MTEB test](https://huggingface.co/spaces/mteb/leaderboard).
|
| 687 |
|
| 688 |
```
|