Mteb benchmark
Browse files
README.md
ADDED
|
@@ -0,0 +1,506 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- mteb
|
| 4 |
+
model-index:
|
| 5 |
+
- name: bge-m3
|
| 6 |
+
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: 75.6268656716418
|
| 18 |
+
- type: ap
|
| 19 |
+
value: 39.50276109614102
|
| 20 |
+
- type: f1
|
| 21 |
+
value: 70.00224623431103
|
| 22 |
+
- task:
|
| 23 |
+
type: Clustering
|
| 24 |
+
dataset:
|
| 25 |
+
type: mteb/arxiv-clustering-p2p
|
| 26 |
+
name: MTEB ArxivClusteringP2P
|
| 27 |
+
config: default
|
| 28 |
+
split: test
|
| 29 |
+
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
|
| 30 |
+
metrics:
|
| 31 |
+
- type: v_measure
|
| 32 |
+
value: 39.409674498704625
|
| 33 |
+
- task:
|
| 34 |
+
type: Reranking
|
| 35 |
+
dataset:
|
| 36 |
+
type: mteb/askubuntudupquestions-reranking
|
| 37 |
+
name: MTEB AskUbuntuDupQuestions
|
| 38 |
+
config: default
|
| 39 |
+
split: test
|
| 40 |
+
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
|
| 41 |
+
metrics:
|
| 42 |
+
- type: map
|
| 43 |
+
value: 61.52757354203137
|
| 44 |
+
- type: mrr
|
| 45 |
+
value: 74.28241656773513
|
| 46 |
+
- task:
|
| 47 |
+
type: STS
|
| 48 |
+
dataset:
|
| 49 |
+
type: mteb/biosses-sts
|
| 50 |
+
name: MTEB BIOSSES
|
| 51 |
+
config: default
|
| 52 |
+
split: test
|
| 53 |
+
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
|
| 54 |
+
metrics:
|
| 55 |
+
- type: cos_sim_pearson
|
| 56 |
+
value: 84.39442490594014
|
| 57 |
+
- type: cos_sim_spearman
|
| 58 |
+
value: 83.37599616417513
|
| 59 |
+
- type: euclidean_pearson
|
| 60 |
+
value: 83.23317790460271
|
| 61 |
+
- type: euclidean_spearman
|
| 62 |
+
value: 83.37599616417513
|
| 63 |
+
- type: manhattan_pearson
|
| 64 |
+
value: 83.23182214744224
|
| 65 |
+
- type: manhattan_spearman
|
| 66 |
+
value: 83.5428674363298
|
| 67 |
+
- task:
|
| 68 |
+
type: Classification
|
| 69 |
+
dataset:
|
| 70 |
+
type: mteb/banking77
|
| 71 |
+
name: MTEB Banking77Classification
|
| 72 |
+
config: default
|
| 73 |
+
split: test
|
| 74 |
+
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
|
| 75 |
+
metrics:
|
| 76 |
+
- type: accuracy
|
| 77 |
+
value: 81.93181818181819
|
| 78 |
+
- type: f1
|
| 79 |
+
value: 81.0852312152688
|
| 80 |
+
- task:
|
| 81 |
+
type: Classification
|
| 82 |
+
dataset:
|
| 83 |
+
type: mteb/emotion
|
| 84 |
+
name: MTEB EmotionClassification
|
| 85 |
+
config: default
|
| 86 |
+
split: test
|
| 87 |
+
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
|
| 88 |
+
metrics:
|
| 89 |
+
- type: accuracy
|
| 90 |
+
value: 50.16499999999999
|
| 91 |
+
- type: f1
|
| 92 |
+
value: 43.57906972116264
|
| 93 |
+
- task:
|
| 94 |
+
type: Classification
|
| 95 |
+
dataset:
|
| 96 |
+
type: mteb/mtop_domain
|
| 97 |
+
name: MTEB MTOPDomainClassification (en)
|
| 98 |
+
config: en
|
| 99 |
+
split: test
|
| 100 |
+
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
|
| 101 |
+
metrics:
|
| 102 |
+
- type: accuracy
|
| 103 |
+
value: 93.35841313269493
|
| 104 |
+
- type: f1
|
| 105 |
+
value: 93.060022693275
|
| 106 |
+
- task:
|
| 107 |
+
type: Classification
|
| 108 |
+
dataset:
|
| 109 |
+
type: mteb/mtop_intent
|
| 110 |
+
name: MTEB MTOPIntentClassification (en)
|
| 111 |
+
config: en
|
| 112 |
+
split: test
|
| 113 |
+
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
|
| 114 |
+
metrics:
|
| 115 |
+
- type: accuracy
|
| 116 |
+
value: 66.58002735978113
|
| 117 |
+
- type: f1
|
| 118 |
+
value: 46.995919480823055
|
| 119 |
+
- task:
|
| 120 |
+
type: Classification
|
| 121 |
+
dataset:
|
| 122 |
+
type: mteb/amazon_massive_intent
|
| 123 |
+
name: MTEB MassiveIntentClassification (en)
|
| 124 |
+
config: en
|
| 125 |
+
split: test
|
| 126 |
+
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
|
| 127 |
+
metrics:
|
| 128 |
+
- type: accuracy
|
| 129 |
+
value: 71.07935440484196
|
| 130 |
+
- type: f1
|
| 131 |
+
value: 69.13197875645403
|
| 132 |
+
- task:
|
| 133 |
+
type: Classification
|
| 134 |
+
dataset:
|
| 135 |
+
type: mteb/amazon_massive_scenario
|
| 136 |
+
name: MTEB MassiveScenarioClassification (en)
|
| 137 |
+
config: en
|
| 138 |
+
split: test
|
| 139 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 140 |
+
metrics:
|
| 141 |
+
- type: accuracy
|
| 142 |
+
value: 76.63752521856087
|
| 143 |
+
- type: f1
|
| 144 |
+
value: 75.61348469613843
|
| 145 |
+
- task:
|
| 146 |
+
type: STS
|
| 147 |
+
dataset:
|
| 148 |
+
type: mteb/sickr-sts
|
| 149 |
+
name: MTEB SICK-R
|
| 150 |
+
config: default
|
| 151 |
+
split: test
|
| 152 |
+
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
|
| 153 |
+
metrics:
|
| 154 |
+
- type: cos_sim_pearson
|
| 155 |
+
value: 83.33269306539026
|
| 156 |
+
- type: cos_sim_spearman
|
| 157 |
+
value: 79.71441518631086
|
| 158 |
+
- type: euclidean_pearson
|
| 159 |
+
value: 80.98109404189279
|
| 160 |
+
- type: euclidean_spearman
|
| 161 |
+
value: 79.71444969096095
|
| 162 |
+
- type: manhattan_pearson
|
| 163 |
+
value: 80.97223989357175
|
| 164 |
+
- type: manhattan_spearman
|
| 165 |
+
value: 79.64929261210406
|
| 166 |
+
- task:
|
| 167 |
+
type: STS
|
| 168 |
+
dataset:
|
| 169 |
+
type: mteb/sts12-sts
|
| 170 |
+
name: MTEB STS12
|
| 171 |
+
config: default
|
| 172 |
+
split: test
|
| 173 |
+
revision: a0d554a64d88156834ff5ae9920b964011b16384
|
| 174 |
+
metrics:
|
| 175 |
+
- type: cos_sim_pearson
|
| 176 |
+
value: 83.7127498314437
|
| 177 |
+
- type: cos_sim_spearman
|
| 178 |
+
value: 78.73426610516154
|
| 179 |
+
- type: euclidean_pearson
|
| 180 |
+
value: 79.72827173736742
|
| 181 |
+
- type: euclidean_spearman
|
| 182 |
+
value: 78.731973450314
|
| 183 |
+
- type: manhattan_pearson
|
| 184 |
+
value: 79.71391822179304
|
| 185 |
+
- type: manhattan_spearman
|
| 186 |
+
value: 78.69626503719782
|
| 187 |
+
- task:
|
| 188 |
+
type: STS
|
| 189 |
+
dataset:
|
| 190 |
+
type: mteb/sts13-sts
|
| 191 |
+
name: MTEB STS13
|
| 192 |
+
config: default
|
| 193 |
+
split: test
|
| 194 |
+
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
|
| 195 |
+
metrics:
|
| 196 |
+
- type: cos_sim_pearson
|
| 197 |
+
value: 78.33449726355023
|
| 198 |
+
- type: cos_sim_spearman
|
| 199 |
+
value: 79.59703323420547
|
| 200 |
+
- type: euclidean_pearson
|
| 201 |
+
value: 79.87238808505464
|
| 202 |
+
- type: euclidean_spearman
|
| 203 |
+
value: 79.59703323420547
|
| 204 |
+
- type: manhattan_pearson
|
| 205 |
+
value: 79.5006260085966
|
| 206 |
+
- type: manhattan_spearman
|
| 207 |
+
value: 79.21864659717262
|
| 208 |
+
- task:
|
| 209 |
+
type: STS
|
| 210 |
+
dataset:
|
| 211 |
+
type: mteb/sts14-sts
|
| 212 |
+
name: MTEB STS14
|
| 213 |
+
config: default
|
| 214 |
+
split: test
|
| 215 |
+
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
|
| 216 |
+
metrics:
|
| 217 |
+
- type: cos_sim_pearson
|
| 218 |
+
value: 79.00088445445654
|
| 219 |
+
- type: cos_sim_spearman
|
| 220 |
+
value: 78.99977508575147
|
| 221 |
+
- type: euclidean_pearson
|
| 222 |
+
value: 78.63222924140206
|
| 223 |
+
- type: euclidean_spearman
|
| 224 |
+
value: 78.99976994069327
|
| 225 |
+
- type: manhattan_pearson
|
| 226 |
+
value: 78.35504771673297
|
| 227 |
+
- type: manhattan_spearman
|
| 228 |
+
value: 78.76306077740067
|
| 229 |
+
- task:
|
| 230 |
+
type: STS
|
| 231 |
+
dataset:
|
| 232 |
+
type: mteb/sts15-sts
|
| 233 |
+
name: MTEB STS15
|
| 234 |
+
config: default
|
| 235 |
+
split: test
|
| 236 |
+
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
|
| 237 |
+
metrics:
|
| 238 |
+
- type: cos_sim_pearson
|
| 239 |
+
value: 87.13160613452308
|
| 240 |
+
- type: cos_sim_spearman
|
| 241 |
+
value: 87.81435104273643
|
| 242 |
+
- type: euclidean_pearson
|
| 243 |
+
value: 87.22395745487297
|
| 244 |
+
- type: euclidean_spearman
|
| 245 |
+
value: 87.81435041827874
|
| 246 |
+
- type: manhattan_pearson
|
| 247 |
+
value: 87.17630476262896
|
| 248 |
+
- type: manhattan_spearman
|
| 249 |
+
value: 87.76535338976686
|
| 250 |
+
- task:
|
| 251 |
+
type: STS
|
| 252 |
+
dataset:
|
| 253 |
+
type: mteb/sts16-sts
|
| 254 |
+
name: MTEB STS16
|
| 255 |
+
config: default
|
| 256 |
+
split: test
|
| 257 |
+
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
|
| 258 |
+
metrics:
|
| 259 |
+
- type: cos_sim_pearson
|
| 260 |
+
value: 83.76424652225954
|
| 261 |
+
- type: cos_sim_spearman
|
| 262 |
+
value: 85.39745570134193
|
| 263 |
+
- type: euclidean_pearson
|
| 264 |
+
value: 84.6971466556576
|
| 265 |
+
- type: euclidean_spearman
|
| 266 |
+
value: 85.39745570134193
|
| 267 |
+
- type: manhattan_pearson
|
| 268 |
+
value: 84.61210275324463
|
| 269 |
+
- type: manhattan_spearman
|
| 270 |
+
value: 85.30727114432379
|
| 271 |
+
- task:
|
| 272 |
+
type: STS
|
| 273 |
+
dataset:
|
| 274 |
+
type: mteb/sts17-crosslingual-sts
|
| 275 |
+
name: MTEB STS17 (en-en)
|
| 276 |
+
config: en-en
|
| 277 |
+
split: test
|
| 278 |
+
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
|
| 279 |
+
metrics:
|
| 280 |
+
- type: cos_sim_pearson
|
| 281 |
+
value: 86.87956530541486
|
| 282 |
+
- type: cos_sim_spearman
|
| 283 |
+
value: 87.13412608536781
|
| 284 |
+
- type: euclidean_pearson
|
| 285 |
+
value: 87.80084186244981
|
| 286 |
+
- type: euclidean_spearman
|
| 287 |
+
value: 87.13412608536781
|
| 288 |
+
- type: manhattan_pearson
|
| 289 |
+
value: 87.73101535306475
|
| 290 |
+
- type: manhattan_spearman
|
| 291 |
+
value: 87.05897655963285
|
| 292 |
+
- task:
|
| 293 |
+
type: STS
|
| 294 |
+
dataset:
|
| 295 |
+
type: mteb/stsbenchmark-sts
|
| 296 |
+
name: MTEB STSBenchmark
|
| 297 |
+
config: default
|
| 298 |
+
split: test
|
| 299 |
+
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
|
| 300 |
+
metrics:
|
| 301 |
+
- type: cos_sim_pearson
|
| 302 |
+
value: 83.70737517925419
|
| 303 |
+
- type: cos_sim_spearman
|
| 304 |
+
value: 84.84687698325351
|
| 305 |
+
- type: euclidean_pearson
|
| 306 |
+
value: 84.36525309890885
|
| 307 |
+
- type: euclidean_spearman
|
| 308 |
+
value: 84.84688249844098
|
| 309 |
+
- type: manhattan_pearson
|
| 310 |
+
value: 84.31171573973266
|
| 311 |
+
- type: manhattan_spearman
|
| 312 |
+
value: 84.79550448196474
|
| 313 |
+
- task:
|
| 314 |
+
type: PairClassification
|
| 315 |
+
dataset:
|
| 316 |
+
type: mteb/sprintduplicatequestions-pairclassification
|
| 317 |
+
name: MTEB SprintDuplicateQuestions
|
| 318 |
+
config: default
|
| 319 |
+
split: test
|
| 320 |
+
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
|
| 321 |
+
metrics:
|
| 322 |
+
- type: cos_sim_accuracy
|
| 323 |
+
value: 99.87722772277228
|
| 324 |
+
- type: cos_sim_ap
|
| 325 |
+
value: 97.32479581402639
|
| 326 |
+
- type: cos_sim_f1
|
| 327 |
+
value: 93.74369323915236
|
| 328 |
+
- type: cos_sim_precision
|
| 329 |
+
value: 94.60285132382892
|
| 330 |
+
- type: cos_sim_recall
|
| 331 |
+
value: 92.9
|
| 332 |
+
- type: dot_accuracy
|
| 333 |
+
value: 99.87722772277228
|
| 334 |
+
- type: dot_ap
|
| 335 |
+
value: 97.32479581402637
|
| 336 |
+
- type: dot_f1
|
| 337 |
+
value: 93.74369323915236
|
| 338 |
+
- type: dot_precision
|
| 339 |
+
value: 94.60285132382892
|
| 340 |
+
- type: dot_recall
|
| 341 |
+
value: 92.9
|
| 342 |
+
- type: euclidean_accuracy
|
| 343 |
+
value: 99.87722772277228
|
| 344 |
+
- type: euclidean_ap
|
| 345 |
+
value: 97.32479581402639
|
| 346 |
+
- type: euclidean_f1
|
| 347 |
+
value: 93.74369323915236
|
| 348 |
+
- type: euclidean_precision
|
| 349 |
+
value: 94.60285132382892
|
| 350 |
+
- type: euclidean_recall
|
| 351 |
+
value: 92.9
|
| 352 |
+
- type: manhattan_accuracy
|
| 353 |
+
value: 99.87524752475248
|
| 354 |
+
- type: manhattan_ap
|
| 355 |
+
value: 97.29133330261223
|
| 356 |
+
- type: manhattan_f1
|
| 357 |
+
value: 93.59359359359361
|
| 358 |
+
- type: manhattan_precision
|
| 359 |
+
value: 93.687374749499
|
| 360 |
+
- type: manhattan_recall
|
| 361 |
+
value: 93.5
|
| 362 |
+
- type: max_accuracy
|
| 363 |
+
value: 99.87722772277228
|
| 364 |
+
- type: max_ap
|
| 365 |
+
value: 97.32479581402639
|
| 366 |
+
- type: max_f1
|
| 367 |
+
value: 93.74369323915236
|
| 368 |
+
- task:
|
| 369 |
+
type: Classification
|
| 370 |
+
dataset:
|
| 371 |
+
type: mteb/toxic_conversations_50k
|
| 372 |
+
name: MTEB ToxicConversationsClassification
|
| 373 |
+
config: default
|
| 374 |
+
split: test
|
| 375 |
+
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
|
| 376 |
+
metrics:
|
| 377 |
+
- type: accuracy
|
| 378 |
+
value: 72.60060000000001
|
| 379 |
+
- type: ap
|
| 380 |
+
value: 15.719924742317021
|
| 381 |
+
- type: f1
|
| 382 |
+
value: 56.30561683159878
|
| 383 |
+
- task:
|
| 384 |
+
type: Classification
|
| 385 |
+
dataset:
|
| 386 |
+
type: mteb/tweet_sentiment_extraction
|
| 387 |
+
name: MTEB TweetSentimentExtractionClassification
|
| 388 |
+
config: default
|
| 389 |
+
split: test
|
| 390 |
+
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
|
| 391 |
+
metrics:
|
| 392 |
+
- type: accuracy
|
| 393 |
+
value: 63.71250707413696
|
| 394 |
+
- type: f1
|
| 395 |
+
value: 63.54808116265952
|
| 396 |
+
- task:
|
| 397 |
+
type: PairClassification
|
| 398 |
+
dataset:
|
| 399 |
+
type: mteb/twittersemeval2015-pairclassification
|
| 400 |
+
name: MTEB TwitterSemEval2015
|
| 401 |
+
config: default
|
| 402 |
+
split: test
|
| 403 |
+
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
|
| 404 |
+
metrics:
|
| 405 |
+
- type: cos_sim_accuracy
|
| 406 |
+
value: 85.110568039578
|
| 407 |
+
- type: cos_sim_ap
|
| 408 |
+
value: 70.28927714315245
|
| 409 |
+
- type: cos_sim_f1
|
| 410 |
+
value: 65.03893361488716
|
| 411 |
+
- type: cos_sim_precision
|
| 412 |
+
value: 65.06469500924214
|
| 413 |
+
- type: cos_sim_recall
|
| 414 |
+
value: 65.0131926121372
|
| 415 |
+
- type: dot_accuracy
|
| 416 |
+
value: 85.110568039578
|
| 417 |
+
- type: dot_ap
|
| 418 |
+
value: 70.28928082939848
|
| 419 |
+
- type: dot_f1
|
| 420 |
+
value: 65.03893361488716
|
| 421 |
+
- type: dot_precision
|
| 422 |
+
value: 65.06469500924214
|
| 423 |
+
- type: dot_recall
|
| 424 |
+
value: 65.0131926121372
|
| 425 |
+
- type: euclidean_accuracy
|
| 426 |
+
value: 85.110568039578
|
| 427 |
+
- type: euclidean_ap
|
| 428 |
+
value: 70.28928621260852
|
| 429 |
+
- type: euclidean_f1
|
| 430 |
+
value: 65.03893361488716
|
| 431 |
+
- type: euclidean_precision
|
| 432 |
+
value: 65.06469500924214
|
| 433 |
+
- type: euclidean_recall
|
| 434 |
+
value: 65.0131926121372
|
| 435 |
+
- type: manhattan_accuracy
|
| 436 |
+
value: 85.02115992132086
|
| 437 |
+
- type: manhattan_ap
|
| 438 |
+
value: 70.05813255171925
|
| 439 |
+
- type: manhattan_f1
|
| 440 |
+
value: 64.59658311510164
|
| 441 |
+
- type: manhattan_precision
|
| 442 |
+
value: 61.24379285883188
|
| 443 |
+
- type: manhattan_recall
|
| 444 |
+
value: 68.33773087071239
|
| 445 |
+
- type: max_accuracy
|
| 446 |
+
value: 85.110568039578
|
| 447 |
+
- type: max_ap
|
| 448 |
+
value: 70.28928621260852
|
| 449 |
+
- type: max_f1
|
| 450 |
+
value: 65.03893361488716
|
| 451 |
+
- task:
|
| 452 |
+
type: PairClassification
|
| 453 |
+
dataset:
|
| 454 |
+
type: mteb/twitterurlcorpus-pairclassification
|
| 455 |
+
name: MTEB TwitterURLCorpus
|
| 456 |
+
config: default
|
| 457 |
+
split: test
|
| 458 |
+
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
|
| 459 |
+
metrics:
|
| 460 |
+
- type: cos_sim_accuracy
|
| 461 |
+
value: 88.99949547871309
|
| 462 |
+
- type: cos_sim_ap
|
| 463 |
+
value: 85.82819569154559
|
| 464 |
+
- type: cos_sim_f1
|
| 465 |
+
value: 78.37315338318439
|
| 466 |
+
- type: cos_sim_precision
|
| 467 |
+
value: 74.46454564358494
|
| 468 |
+
- type: cos_sim_recall
|
| 469 |
+
value: 82.71481367416075
|
| 470 |
+
- type: dot_accuracy
|
| 471 |
+
value: 88.99949547871309
|
| 472 |
+
- type: dot_ap
|
| 473 |
+
value: 85.82820043407936
|
| 474 |
+
- type: dot_f1
|
| 475 |
+
value: 78.37315338318439
|
| 476 |
+
- type: dot_precision
|
| 477 |
+
value: 74.46454564358494
|
| 478 |
+
- type: dot_recall
|
| 479 |
+
value: 82.71481367416075
|
| 480 |
+
- type: euclidean_accuracy
|
| 481 |
+
value: 88.99949547871309
|
| 482 |
+
- type: euclidean_ap
|
| 483 |
+
value: 85.82819622588083
|
| 484 |
+
- type: euclidean_f1
|
| 485 |
+
value: 78.37315338318439
|
| 486 |
+
- type: euclidean_precision
|
| 487 |
+
value: 74.46454564358494
|
| 488 |
+
- type: euclidean_recall
|
| 489 |
+
value: 82.71481367416075
|
| 490 |
+
- type: manhattan_accuracy
|
| 491 |
+
value: 88.98009081383165
|
| 492 |
+
- type: manhattan_ap
|
| 493 |
+
value: 85.77393389750326
|
| 494 |
+
- type: manhattan_f1
|
| 495 |
+
value: 78.38852097130243
|
| 496 |
+
- type: manhattan_precision
|
| 497 |
+
value: 75.06341600901916
|
| 498 |
+
- type: manhattan_recall
|
| 499 |
+
value: 82.0218663381583
|
| 500 |
+
- type: max_accuracy
|
| 501 |
+
value: 88.99949547871309
|
| 502 |
+
- type: max_ap
|
| 503 |
+
value: 85.82820043407936
|
| 504 |
+
- type: max_f1
|
| 505 |
+
value: 78.38852097130243
|
| 506 |
+
---
|