Add MTEB results
#2
by
yonting
- opened
README.md
CHANGED
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@@ -4,6 +4,1705 @@ tags:
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| 4 |
- sentence-transformers
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| 5 |
- feature-extraction
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| 6 |
- sentence-similarity
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| 7 |
---
|
| 8 |
|
| 9 |
# clip-ViT-B-32
|
|
|
|
| 4 |
- sentence-transformers
|
| 5 |
- feature-extraction
|
| 6 |
- sentence-similarity
|
| 7 |
+
- mteb
|
| 8 |
+
model-index:
|
| 9 |
+
- name: clip-ViT-B-32
|
| 10 |
+
results:
|
| 11 |
+
- task:
|
| 12 |
+
type: Classification
|
| 13 |
+
dataset:
|
| 14 |
+
type: mteb/amazon_counterfactual
|
| 15 |
+
name: MTEB AmazonCounterfactualClassification (en)
|
| 16 |
+
config: en
|
| 17 |
+
split: test
|
| 18 |
+
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
|
| 19 |
+
metrics:
|
| 20 |
+
- type: accuracy
|
| 21 |
+
value: 57.999999999999986
|
| 22 |
+
- type: ap
|
| 23 |
+
value: 23.966099106216358
|
| 24 |
+
- type: f1
|
| 25 |
+
value: 52.8203944454417
|
| 26 |
+
- task:
|
| 27 |
+
type: Classification
|
| 28 |
+
dataset:
|
| 29 |
+
type: mteb/amazon_polarity
|
| 30 |
+
name: MTEB AmazonPolarityClassification
|
| 31 |
+
config: default
|
| 32 |
+
split: test
|
| 33 |
+
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
|
| 34 |
+
metrics:
|
| 35 |
+
- type: accuracy
|
| 36 |
+
value: 62.366
|
| 37 |
+
- type: ap
|
| 38 |
+
value: 57.98090324593318
|
| 39 |
+
- type: f1
|
| 40 |
+
value: 61.62762218315074
|
| 41 |
+
- task:
|
| 42 |
+
type: Classification
|
| 43 |
+
dataset:
|
| 44 |
+
type: mteb/amazon_reviews_multi
|
| 45 |
+
name: MTEB AmazonReviewsClassification (en)
|
| 46 |
+
config: en
|
| 47 |
+
split: test
|
| 48 |
+
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
|
| 49 |
+
metrics:
|
| 50 |
+
- type: accuracy
|
| 51 |
+
value: 28.584
|
| 52 |
+
- type: f1
|
| 53 |
+
value: 28.463306116150783
|
| 54 |
+
- task:
|
| 55 |
+
type: Retrieval
|
| 56 |
+
dataset:
|
| 57 |
+
type: arguana
|
| 58 |
+
name: MTEB ArguAna
|
| 59 |
+
config: default
|
| 60 |
+
split: test
|
| 61 |
+
revision: None
|
| 62 |
+
metrics:
|
| 63 |
+
- type: map_at_1
|
| 64 |
+
value: 6.259
|
| 65 |
+
- type: map_at_10
|
| 66 |
+
value: 11.542
|
| 67 |
+
- type: map_at_100
|
| 68 |
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value: 12.859000000000002
|
| 69 |
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- type: map_at_1000
|
| 70 |
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value: 12.966
|
| 71 |
+
- type: map_at_3
|
| 72 |
+
value: 9.128
|
| 73 |
+
- type: map_at_5
|
| 74 |
+
value: 10.262
|
| 75 |
+
- type: mrr_at_1
|
| 76 |
+
value: 6.259
|
| 77 |
+
- type: mrr_at_10
|
| 78 |
+
value: 11.536
|
| 79 |
+
- type: mrr_at_100
|
| 80 |
+
value: 12.859000000000002
|
| 81 |
+
- type: mrr_at_1000
|
| 82 |
+
value: 12.967
|
| 83 |
+
- type: mrr_at_3
|
| 84 |
+
value: 9.128
|
| 85 |
+
- type: mrr_at_5
|
| 86 |
+
value: 10.262
|
| 87 |
+
- type: ndcg_at_1
|
| 88 |
+
value: 6.259
|
| 89 |
+
- type: ndcg_at_10
|
| 90 |
+
value: 15.35
|
| 91 |
+
- type: ndcg_at_100
|
| 92 |
+
value: 22.107
|
| 93 |
+
- type: ndcg_at_1000
|
| 94 |
+
value: 25.355
|
| 95 |
+
- type: ndcg_at_3
|
| 96 |
+
value: 10.172
|
| 97 |
+
- type: ndcg_at_5
|
| 98 |
+
value: 12.22
|
| 99 |
+
- type: precision_at_1
|
| 100 |
+
value: 6.259
|
| 101 |
+
- type: precision_at_10
|
| 102 |
+
value: 2.795
|
| 103 |
+
- type: precision_at_100
|
| 104 |
+
value: 0.603
|
| 105 |
+
- type: precision_at_1000
|
| 106 |
+
value: 0.087
|
| 107 |
+
- type: precision_at_3
|
| 108 |
+
value: 4.41
|
| 109 |
+
- type: precision_at_5
|
| 110 |
+
value: 3.642
|
| 111 |
+
- type: recall_at_1
|
| 112 |
+
value: 6.259
|
| 113 |
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- type: recall_at_10
|
| 114 |
+
value: 27.951999999999998
|
| 115 |
+
- type: recall_at_100
|
| 116 |
+
value: 60.313
|
| 117 |
+
- type: recall_at_1000
|
| 118 |
+
value: 86.771
|
| 119 |
+
- type: recall_at_3
|
| 120 |
+
value: 13.229
|
| 121 |
+
- type: recall_at_5
|
| 122 |
+
value: 18.208
|
| 123 |
+
- task:
|
| 124 |
+
type: Clustering
|
| 125 |
+
dataset:
|
| 126 |
+
type: mteb/arxiv-clustering-p2p
|
| 127 |
+
name: MTEB ArxivClusteringP2P
|
| 128 |
+
config: default
|
| 129 |
+
split: test
|
| 130 |
+
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
|
| 131 |
+
metrics:
|
| 132 |
+
- type: v_measure
|
| 133 |
+
value: 30.95753257205936
|
| 134 |
+
- task:
|
| 135 |
+
type: Clustering
|
| 136 |
+
dataset:
|
| 137 |
+
type: mteb/arxiv-clustering-s2s
|
| 138 |
+
name: MTEB ArxivClusteringS2S
|
| 139 |
+
config: default
|
| 140 |
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split: test
|
| 141 |
+
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
|
| 142 |
+
metrics:
|
| 143 |
+
- type: v_measure
|
| 144 |
+
value: 26.586511396557583
|
| 145 |
+
- task:
|
| 146 |
+
type: Reranking
|
| 147 |
+
dataset:
|
| 148 |
+
type: mteb/askubuntudupquestions-reranking
|
| 149 |
+
name: MTEB AskUbuntuDupQuestions
|
| 150 |
+
config: default
|
| 151 |
+
split: test
|
| 152 |
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revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
|
| 153 |
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metrics:
|
| 154 |
+
- type: map
|
| 155 |
+
value: 51.090393666506415
|
| 156 |
+
- type: mrr
|
| 157 |
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value: 65.19412566503979
|
| 158 |
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- task:
|
| 159 |
+
type: STS
|
| 160 |
+
dataset:
|
| 161 |
+
type: mteb/biosses-sts
|
| 162 |
+
name: MTEB BIOSSES
|
| 163 |
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config: default
|
| 164 |
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split: test
|
| 165 |
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revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
|
| 166 |
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metrics:
|
| 167 |
+
- type: cos_sim_pearson
|
| 168 |
+
value: 69.9163188743249
|
| 169 |
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- type: cos_sim_spearman
|
| 170 |
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value: 64.1345938803495
|
| 171 |
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- type: euclidean_pearson
|
| 172 |
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value: 67.36703723549599
|
| 173 |
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- type: euclidean_spearman
|
| 174 |
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value: 63.067702100617005
|
| 175 |
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- type: manhattan_pearson
|
| 176 |
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value: 71.6901307580259
|
| 177 |
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- type: manhattan_spearman
|
| 178 |
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value: 67.04128661733944
|
| 179 |
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- task:
|
| 180 |
+
type: Classification
|
| 181 |
+
dataset:
|
| 182 |
+
type: mteb/banking77
|
| 183 |
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name: MTEB Banking77Classification
|
| 184 |
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config: default
|
| 185 |
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split: test
|
| 186 |
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revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
|
| 187 |
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metrics:
|
| 188 |
+
- type: accuracy
|
| 189 |
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value: 73.22402597402598
|
| 190 |
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- type: f1
|
| 191 |
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value: 73.12739303105114
|
| 192 |
+
- task:
|
| 193 |
+
type: Clustering
|
| 194 |
+
dataset:
|
| 195 |
+
type: mteb/biorxiv-clustering-p2p
|
| 196 |
+
name: MTEB BiorxivClusteringP2P
|
| 197 |
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config: default
|
| 198 |
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split: test
|
| 199 |
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revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
|
| 200 |
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metrics:
|
| 201 |
+
- type: v_measure
|
| 202 |
+
value: 28.97385566120484
|
| 203 |
+
- task:
|
| 204 |
+
type: Clustering
|
| 205 |
+
dataset:
|
| 206 |
+
type: mteb/biorxiv-clustering-s2s
|
| 207 |
+
name: MTEB BiorxivClusteringS2S
|
| 208 |
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config: default
|
| 209 |
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split: test
|
| 210 |
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revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
|
| 211 |
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metrics:
|
| 212 |
+
- type: v_measure
|
| 213 |
+
value: 27.08579813861177
|
| 214 |
+
- task:
|
| 215 |
+
type: Retrieval
|
| 216 |
+
dataset:
|
| 217 |
+
type: BeIR/cqadupstack
|
| 218 |
+
name: MTEB CQADupstackAndroidRetrieval
|
| 219 |
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config: default
|
| 220 |
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split: test
|
| 221 |
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revision: None
|
| 222 |
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metrics:
|
| 223 |
+
- type: map_at_1
|
| 224 |
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value: 7.106999999999999
|
| 225 |
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- type: map_at_10
|
| 226 |
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value: 11.797
|
| 227 |
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- type: map_at_100
|
| 228 |
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value: 12.6
|
| 229 |
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- type: map_at_1000
|
| 230 |
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value: 12.711
|
| 231 |
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- type: map_at_3
|
| 232 |
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value: 10.369
|
| 233 |
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- type: map_at_5
|
| 234 |
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value: 10.881
|
| 235 |
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- type: mrr_at_1
|
| 236 |
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value: 9.299
|
| 237 |
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- type: mrr_at_10
|
| 238 |
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value: 15.076
|
| 239 |
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- type: mrr_at_100
|
| 240 |
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value: 15.842
|
| 241 |
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- type: mrr_at_1000
|
| 242 |
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value: 15.928
|
| 243 |
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- type: mrr_at_3
|
| 244 |
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value: 13.4
|
| 245 |
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- type: mrr_at_5
|
| 246 |
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value: 14.044
|
| 247 |
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- type: ndcg_at_1
|
| 248 |
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value: 9.299
|
| 249 |
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- type: ndcg_at_10
|
| 250 |
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value: 15.21
|
| 251 |
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- type: ndcg_at_100
|
| 252 |
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value: 19.374
|
| 253 |
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- type: ndcg_at_1000
|
| 254 |
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value: 22.527
|
| 255 |
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- type: ndcg_at_3
|
| 256 |
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value: 12.383
|
| 257 |
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- type: ndcg_at_5
|
| 258 |
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value: 13.096
|
| 259 |
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- type: precision_at_1
|
| 260 |
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value: 9.299
|
| 261 |
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- type: precision_at_10
|
| 262 |
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value: 3.1620000000000004
|
| 263 |
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- type: precision_at_100
|
| 264 |
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value: 0.662
|
| 265 |
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- type: precision_at_1000
|
| 266 |
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value: 0.11800000000000001
|
| 267 |
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- type: precision_at_3
|
| 268 |
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value: 6.3420000000000005
|
| 269 |
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- type: precision_at_5
|
| 270 |
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value: 4.492
|
| 271 |
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- type: recall_at_1
|
| 272 |
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value: 7.106999999999999
|
| 273 |
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- type: recall_at_10
|
| 274 |
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value: 22.544
|
| 275 |
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- type: recall_at_100
|
| 276 |
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value: 41.002
|
| 277 |
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- type: recall_at_1000
|
| 278 |
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value: 63.67699999999999
|
| 279 |
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- type: recall_at_3
|
| 280 |
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value: 14.316999999999998
|
| 281 |
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- type: recall_at_5
|
| 282 |
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value: 16.367
|
| 283 |
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- task:
|
| 284 |
+
type: Retrieval
|
| 285 |
+
dataset:
|
| 286 |
+
type: BeIR/cqadupstack
|
| 287 |
+
name: MTEB CQADupstackEnglishRetrieval
|
| 288 |
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config: default
|
| 289 |
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split: test
|
| 290 |
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revision: None
|
| 291 |
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metrics:
|
| 292 |
+
- type: map_at_1
|
| 293 |
+
value: 6.632000000000001
|
| 294 |
+
- type: map_at_10
|
| 295 |
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value: 9.067
|
| 296 |
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- type: map_at_100
|
| 297 |
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value: 9.487
|
| 298 |
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- type: map_at_1000
|
| 299 |
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value: 9.563
|
| 300 |
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- type: map_at_3
|
| 301 |
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value: 8.344999999999999
|
| 302 |
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- type: map_at_5
|
| 303 |
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value: 8.742999999999999
|
| 304 |
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- type: mrr_at_1
|
| 305 |
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value: 8.599
|
| 306 |
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- type: mrr_at_10
|
| 307 |
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value: 11.332
|
| 308 |
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- type: mrr_at_100
|
| 309 |
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value: 11.77
|
| 310 |
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- type: mrr_at_1000
|
| 311 |
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value: 11.843
|
| 312 |
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- type: mrr_at_3
|
| 313 |
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value: 10.478
|
| 314 |
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- type: mrr_at_5
|
| 315 |
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value: 10.959000000000001
|
| 316 |
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- type: ndcg_at_1
|
| 317 |
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value: 8.599
|
| 318 |
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- type: ndcg_at_10
|
| 319 |
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value: 10.843
|
| 320 |
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- type: ndcg_at_100
|
| 321 |
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value: 13.023000000000001
|
| 322 |
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- type: ndcg_at_1000
|
| 323 |
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value: 15.409
|
| 324 |
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- type: ndcg_at_3
|
| 325 |
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value: 9.673
|
| 326 |
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- type: ndcg_at_5
|
| 327 |
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value: 10.188
|
| 328 |
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- type: precision_at_1
|
| 329 |
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value: 8.599
|
| 330 |
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- type: precision_at_10
|
| 331 |
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value: 2.038
|
| 332 |
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- type: precision_at_100
|
| 333 |
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value: 0.383
|
| 334 |
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- type: precision_at_1000
|
| 335 |
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value: 0.074
|
| 336 |
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- type: precision_at_3
|
| 337 |
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value: 4.756
|
| 338 |
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- type: precision_at_5
|
| 339 |
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value: 3.3890000000000002
|
| 340 |
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- type: recall_at_1
|
| 341 |
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value: 6.632000000000001
|
| 342 |
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- type: recall_at_10
|
| 343 |
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value: 13.952
|
| 344 |
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- type: recall_at_100
|
| 345 |
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value: 23.966
|
| 346 |
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- type: recall_at_1000
|
| 347 |
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value: 41.411
|
| 348 |
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- type: recall_at_3
|
| 349 |
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value: 10.224
|
| 350 |
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- type: recall_at_5
|
| 351 |
+
value: 11.799
|
| 352 |
+
- task:
|
| 353 |
+
type: Retrieval
|
| 354 |
+
dataset:
|
| 355 |
+
type: BeIR/cqadupstack
|
| 356 |
+
name: MTEB CQADupstackGamingRetrieval
|
| 357 |
+
config: default
|
| 358 |
+
split: test
|
| 359 |
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revision: None
|
| 360 |
+
metrics:
|
| 361 |
+
- type: map_at_1
|
| 362 |
+
value: 11.153
|
| 363 |
+
- type: map_at_10
|
| 364 |
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value: 15.751000000000001
|
| 365 |
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- type: map_at_100
|
| 366 |
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value: 16.464000000000002
|
| 367 |
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- type: map_at_1000
|
| 368 |
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value: 16.561
|
| 369 |
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- type: map_at_3
|
| 370 |
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value: 14.552000000000001
|
| 371 |
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- type: map_at_5
|
| 372 |
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value: 15.136
|
| 373 |
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- type: mrr_at_1
|
| 374 |
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value: 13.041
|
| 375 |
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- type: mrr_at_10
|
| 376 |
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value: 17.777
|
| 377 |
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- type: mrr_at_100
|
| 378 |
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value: 18.427
|
| 379 |
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- type: mrr_at_1000
|
| 380 |
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value: 18.504
|
| 381 |
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- type: mrr_at_3
|
| 382 |
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value: 16.479
|
| 383 |
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- type: mrr_at_5
|
| 384 |
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value: 17.175
|
| 385 |
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- type: ndcg_at_1
|
| 386 |
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value: 13.041
|
| 387 |
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- type: ndcg_at_10
|
| 388 |
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value: 18.581
|
| 389 |
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- type: ndcg_at_100
|
| 390 |
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value: 22.174
|
| 391 |
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- type: ndcg_at_1000
|
| 392 |
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value: 24.795
|
| 393 |
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|
| 394 |
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value: 16.185
|
| 395 |
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|
| 396 |
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value: 17.183
|
| 397 |
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- type: precision_at_1
|
| 398 |
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value: 13.041
|
| 399 |
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- type: precision_at_10
|
| 400 |
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value: 3.2230000000000003
|
| 401 |
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- type: precision_at_100
|
| 402 |
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value: 0.557
|
| 403 |
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- type: precision_at_1000
|
| 404 |
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value: 0.086
|
| 405 |
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- type: precision_at_3
|
| 406 |
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value: 7.544
|
| 407 |
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- type: precision_at_5
|
| 408 |
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value: 5.279
|
| 409 |
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- type: recall_at_1
|
| 410 |
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value: 11.153
|
| 411 |
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- type: recall_at_10
|
| 412 |
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value: 25.052999999999997
|
| 413 |
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- type: recall_at_100
|
| 414 |
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value: 41.521
|
| 415 |
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- type: recall_at_1000
|
| 416 |
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value: 61.138000000000005
|
| 417 |
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- type: recall_at_3
|
| 418 |
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value: 18.673000000000002
|
| 419 |
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- type: recall_at_5
|
| 420 |
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value: 20.964
|
| 421 |
+
- task:
|
| 422 |
+
type: Retrieval
|
| 423 |
+
dataset:
|
| 424 |
+
type: BeIR/cqadupstack
|
| 425 |
+
name: MTEB CQADupstackGisRetrieval
|
| 426 |
+
config: default
|
| 427 |
+
split: test
|
| 428 |
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revision: None
|
| 429 |
+
metrics:
|
| 430 |
+
- type: map_at_1
|
| 431 |
+
value: 5.303
|
| 432 |
+
- type: map_at_10
|
| 433 |
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value: 7.649
|
| 434 |
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- type: map_at_100
|
| 435 |
+
value: 7.983
|
| 436 |
+
- type: map_at_1000
|
| 437 |
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value: 8.067
|
| 438 |
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- type: map_at_3
|
| 439 |
+
value: 6.938
|
| 440 |
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- type: map_at_5
|
| 441 |
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value: 7.259
|
| 442 |
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- type: mrr_at_1
|
| 443 |
+
value: 5.763
|
| 444 |
+
- type: mrr_at_10
|
| 445 |
+
value: 8.277
|
| 446 |
+
- type: mrr_at_100
|
| 447 |
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value: 8.665000000000001
|
| 448 |
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- type: mrr_at_1000
|
| 449 |
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value: 8.747
|
| 450 |
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- type: mrr_at_3
|
| 451 |
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value: 7.457999999999999
|
| 452 |
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- type: mrr_at_5
|
| 453 |
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value: 7.808
|
| 454 |
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- type: ndcg_at_1
|
| 455 |
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value: 5.763
|
| 456 |
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- type: ndcg_at_10
|
| 457 |
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value: 9.1
|
| 458 |
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- type: ndcg_at_100
|
| 459 |
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value: 11.253
|
| 460 |
+
- type: ndcg_at_1000
|
| 461 |
+
value: 13.847999999999999
|
| 462 |
+
- type: ndcg_at_3
|
| 463 |
+
value: 7.521999999999999
|
| 464 |
+
- type: ndcg_at_5
|
| 465 |
+
value: 8.094
|
| 466 |
+
- type: precision_at_1
|
| 467 |
+
value: 5.763
|
| 468 |
+
- type: precision_at_10
|
| 469 |
+
value: 1.514
|
| 470 |
+
- type: precision_at_100
|
| 471 |
+
value: 0.28700000000000003
|
| 472 |
+
- type: precision_at_1000
|
| 473 |
+
value: 0.054
|
| 474 |
+
- type: precision_at_3
|
| 475 |
+
value: 3.277
|
| 476 |
+
- type: precision_at_5
|
| 477 |
+
value: 2.282
|
| 478 |
+
- type: recall_at_1
|
| 479 |
+
value: 5.303
|
| 480 |
+
- type: recall_at_10
|
| 481 |
+
value: 13.126
|
| 482 |
+
- type: recall_at_100
|
| 483 |
+
value: 23.855
|
| 484 |
+
- type: recall_at_1000
|
| 485 |
+
value: 44.417
|
| 486 |
+
- type: recall_at_3
|
| 487 |
+
value: 8.556
|
| 488 |
+
- type: recall_at_5
|
| 489 |
+
value: 10.006
|
| 490 |
+
- task:
|
| 491 |
+
type: Retrieval
|
| 492 |
+
dataset:
|
| 493 |
+
type: BeIR/cqadupstack
|
| 494 |
+
name: MTEB CQADupstackMathematicaRetrieval
|
| 495 |
+
config: default
|
| 496 |
+
split: test
|
| 497 |
+
revision: None
|
| 498 |
+
metrics:
|
| 499 |
+
- type: map_at_1
|
| 500 |
+
value: 2.153
|
| 501 |
+
- type: map_at_10
|
| 502 |
+
value: 3.447
|
| 503 |
+
- type: map_at_100
|
| 504 |
+
value: 3.73
|
| 505 |
+
- type: map_at_1000
|
| 506 |
+
value: 3.8219999999999996
|
| 507 |
+
- type: map_at_3
|
| 508 |
+
value: 3.0269999999999997
|
| 509 |
+
- type: map_at_5
|
| 510 |
+
value: 3.283
|
| 511 |
+
- type: mrr_at_1
|
| 512 |
+
value: 2.612
|
| 513 |
+
- type: mrr_at_10
|
| 514 |
+
value: 4.289
|
| 515 |
+
- type: mrr_at_100
|
| 516 |
+
value: 4.6080000000000005
|
| 517 |
+
- type: mrr_at_1000
|
| 518 |
+
value: 4.713
|
| 519 |
+
- type: mrr_at_3
|
| 520 |
+
value: 3.669
|
| 521 |
+
- type: mrr_at_5
|
| 522 |
+
value: 4.005
|
| 523 |
+
- type: ndcg_at_1
|
| 524 |
+
value: 2.612
|
| 525 |
+
- type: ndcg_at_10
|
| 526 |
+
value: 4.422000000000001
|
| 527 |
+
- type: ndcg_at_100
|
| 528 |
+
value: 6.15
|
| 529 |
+
- type: ndcg_at_1000
|
| 530 |
+
value: 9.25
|
| 531 |
+
- type: ndcg_at_3
|
| 532 |
+
value: 3.486
|
| 533 |
+
- type: ndcg_at_5
|
| 534 |
+
value: 3.95
|
| 535 |
+
- type: precision_at_1
|
| 536 |
+
value: 2.612
|
| 537 |
+
- type: precision_at_10
|
| 538 |
+
value: 0.8829999999999999
|
| 539 |
+
- type: precision_at_100
|
| 540 |
+
value: 0.211
|
| 541 |
+
- type: precision_at_1000
|
| 542 |
+
value: 0.059000000000000004
|
| 543 |
+
- type: precision_at_3
|
| 544 |
+
value: 1.6580000000000001
|
| 545 |
+
- type: precision_at_5
|
| 546 |
+
value: 1.294
|
| 547 |
+
- type: recall_at_1
|
| 548 |
+
value: 2.153
|
| 549 |
+
- type: recall_at_10
|
| 550 |
+
value: 6.607
|
| 551 |
+
- type: recall_at_100
|
| 552 |
+
value: 14.707
|
| 553 |
+
- type: recall_at_1000
|
| 554 |
+
value: 37.99
|
| 555 |
+
- type: recall_at_3
|
| 556 |
+
value: 4.122
|
| 557 |
+
- type: recall_at_5
|
| 558 |
+
value: 5.241
|
| 559 |
+
- task:
|
| 560 |
+
type: Retrieval
|
| 561 |
+
dataset:
|
| 562 |
+
type: BeIR/cqadupstack
|
| 563 |
+
name: MTEB CQADupstackPhysicsRetrieval
|
| 564 |
+
config: default
|
| 565 |
+
split: test
|
| 566 |
+
revision: None
|
| 567 |
+
metrics:
|
| 568 |
+
- type: map_at_1
|
| 569 |
+
value: 7.976999999999999
|
| 570 |
+
- type: map_at_10
|
| 571 |
+
value: 11.745
|
| 572 |
+
- type: map_at_100
|
| 573 |
+
value: 12.427000000000001
|
| 574 |
+
- type: map_at_1000
|
| 575 |
+
value: 12.528
|
| 576 |
+
- type: map_at_3
|
| 577 |
+
value: 10.478
|
| 578 |
+
- type: map_at_5
|
| 579 |
+
value: 11.224
|
| 580 |
+
- type: mrr_at_1
|
| 581 |
+
value: 9.432
|
| 582 |
+
- type: mrr_at_10
|
| 583 |
+
value: 14.021
|
| 584 |
+
- type: mrr_at_100
|
| 585 |
+
value: 14.734
|
| 586 |
+
- type: mrr_at_1000
|
| 587 |
+
value: 14.813
|
| 588 |
+
- type: mrr_at_3
|
| 589 |
+
value: 12.576
|
| 590 |
+
- type: mrr_at_5
|
| 591 |
+
value: 13.414000000000001
|
| 592 |
+
- type: ndcg_at_1
|
| 593 |
+
value: 9.432
|
| 594 |
+
- type: ndcg_at_10
|
| 595 |
+
value: 14.341000000000001
|
| 596 |
+
- type: ndcg_at_100
|
| 597 |
+
value: 18.168
|
| 598 |
+
- type: ndcg_at_1000
|
| 599 |
+
value: 21.129
|
| 600 |
+
- type: ndcg_at_3
|
| 601 |
+
value: 11.909
|
| 602 |
+
- type: ndcg_at_5
|
| 603 |
+
value: 13.139999999999999
|
| 604 |
+
- type: precision_at_1
|
| 605 |
+
value: 9.432
|
| 606 |
+
- type: precision_at_10
|
| 607 |
+
value: 2.6759999999999997
|
| 608 |
+
- type: precision_at_100
|
| 609 |
+
value: 0.563
|
| 610 |
+
- type: precision_at_1000
|
| 611 |
+
value: 0.098
|
| 612 |
+
- type: precision_at_3
|
| 613 |
+
value: 5.679
|
| 614 |
+
- type: precision_at_5
|
| 615 |
+
value: 4.216
|
| 616 |
+
- type: recall_at_1
|
| 617 |
+
value: 7.976999999999999
|
| 618 |
+
- type: recall_at_10
|
| 619 |
+
value: 19.983999999999998
|
| 620 |
+
- type: recall_at_100
|
| 621 |
+
value: 37.181
|
| 622 |
+
- type: recall_at_1000
|
| 623 |
+
value: 58.714999999999996
|
| 624 |
+
- type: recall_at_3
|
| 625 |
+
value: 13.375
|
| 626 |
+
- type: recall_at_5
|
| 627 |
+
value: 16.54
|
| 628 |
+
- task:
|
| 629 |
+
type: Retrieval
|
| 630 |
+
dataset:
|
| 631 |
+
type: BeIR/cqadupstack
|
| 632 |
+
name: MTEB CQADupstackProgrammersRetrieval
|
| 633 |
+
config: default
|
| 634 |
+
split: test
|
| 635 |
+
revision: None
|
| 636 |
+
metrics:
|
| 637 |
+
- type: map_at_1
|
| 638 |
+
value: 5.682
|
| 639 |
+
- type: map_at_10
|
| 640 |
+
value: 7.817
|
| 641 |
+
- type: map_at_100
|
| 642 |
+
value: 8.3
|
| 643 |
+
- type: map_at_1000
|
| 644 |
+
value: 8.378
|
| 645 |
+
- type: map_at_3
|
| 646 |
+
value: 7.13
|
| 647 |
+
- type: map_at_5
|
| 648 |
+
value: 7.467
|
| 649 |
+
- type: mrr_at_1
|
| 650 |
+
value: 6.848999999999999
|
| 651 |
+
- type: mrr_at_10
|
| 652 |
+
value: 9.687999999999999
|
| 653 |
+
- type: mrr_at_100
|
| 654 |
+
value: 10.208
|
| 655 |
+
- type: mrr_at_1000
|
| 656 |
+
value: 10.281
|
| 657 |
+
- type: mrr_at_3
|
| 658 |
+
value: 8.770999999999999
|
| 659 |
+
- type: mrr_at_5
|
| 660 |
+
value: 9.256
|
| 661 |
+
- type: ndcg_at_1
|
| 662 |
+
value: 6.848999999999999
|
| 663 |
+
- type: ndcg_at_10
|
| 664 |
+
value: 9.519
|
| 665 |
+
- type: ndcg_at_100
|
| 666 |
+
value: 12.303
|
| 667 |
+
- type: ndcg_at_1000
|
| 668 |
+
value: 15.004999999999999
|
| 669 |
+
- type: ndcg_at_3
|
| 670 |
+
value: 8.077
|
| 671 |
+
- type: ndcg_at_5
|
| 672 |
+
value: 8.656
|
| 673 |
+
- type: precision_at_1
|
| 674 |
+
value: 6.848999999999999
|
| 675 |
+
- type: precision_at_10
|
| 676 |
+
value: 1.735
|
| 677 |
+
- type: precision_at_100
|
| 678 |
+
value: 0.363
|
| 679 |
+
- type: precision_at_1000
|
| 680 |
+
value: 0.073
|
| 681 |
+
- type: precision_at_3
|
| 682 |
+
value: 3.7289999999999996
|
| 683 |
+
- type: precision_at_5
|
| 684 |
+
value: 2.717
|
| 685 |
+
- type: recall_at_1
|
| 686 |
+
value: 5.682
|
| 687 |
+
- type: recall_at_10
|
| 688 |
+
value: 13.001
|
| 689 |
+
- type: recall_at_100
|
| 690 |
+
value: 25.916
|
| 691 |
+
- type: recall_at_1000
|
| 692 |
+
value: 46.303
|
| 693 |
+
- type: recall_at_3
|
| 694 |
+
value: 8.949
|
| 695 |
+
- type: recall_at_5
|
| 696 |
+
value: 10.413
|
| 697 |
+
- task:
|
| 698 |
+
type: Retrieval
|
| 699 |
+
dataset:
|
| 700 |
+
type: BeIR/cqadupstack
|
| 701 |
+
name: MTEB CQADupstackRetrieval
|
| 702 |
+
config: default
|
| 703 |
+
split: test
|
| 704 |
+
revision: None
|
| 705 |
+
metrics:
|
| 706 |
+
- type: map_at_1
|
| 707 |
+
value: 5.441
|
| 708 |
+
- type: map_at_10
|
| 709 |
+
value: 7.997500000000002
|
| 710 |
+
- type: map_at_100
|
| 711 |
+
value: 8.47225
|
| 712 |
+
- type: map_at_1000
|
| 713 |
+
value: 8.557083333333333
|
| 714 |
+
- type: map_at_3
|
| 715 |
+
value: 7.17025
|
| 716 |
+
- type: map_at_5
|
| 717 |
+
value: 7.597833333333333
|
| 718 |
+
- type: mrr_at_1
|
| 719 |
+
value: 6.6329166666666675
|
| 720 |
+
- type: mrr_at_10
|
| 721 |
+
value: 9.596583333333333
|
| 722 |
+
- type: mrr_at_100
|
| 723 |
+
value: 10.094416666666667
|
| 724 |
+
- type: mrr_at_1000
|
| 725 |
+
value: 10.171583333333334
|
| 726 |
+
- type: mrr_at_3
|
| 727 |
+
value: 8.628416666666666
|
| 728 |
+
- type: mrr_at_5
|
| 729 |
+
value: 9.143416666666667
|
| 730 |
+
- type: ndcg_at_1
|
| 731 |
+
value: 6.6329166666666675
|
| 732 |
+
- type: ndcg_at_10
|
| 733 |
+
value: 9.81258333333333
|
| 734 |
+
- type: ndcg_at_100
|
| 735 |
+
value: 12.459416666666666
|
| 736 |
+
- type: ndcg_at_1000
|
| 737 |
+
value: 15.099416666666668
|
| 738 |
+
- type: ndcg_at_3
|
| 739 |
+
value: 8.177499999999998
|
| 740 |
+
- type: ndcg_at_5
|
| 741 |
+
value: 8.8765
|
| 742 |
+
- type: precision_at_1
|
| 743 |
+
value: 6.6329166666666675
|
| 744 |
+
- type: precision_at_10
|
| 745 |
+
value: 1.8355833333333336
|
| 746 |
+
- type: precision_at_100
|
| 747 |
+
value: 0.38033333333333336
|
| 748 |
+
- type: precision_at_1000
|
| 749 |
+
value: 0.07358333333333333
|
| 750 |
+
- type: precision_at_3
|
| 751 |
+
value: 3.912583333333333
|
| 752 |
+
- type: precision_at_5
|
| 753 |
+
value: 2.8570833333333336
|
| 754 |
+
- type: recall_at_1
|
| 755 |
+
value: 5.441
|
| 756 |
+
- type: recall_at_10
|
| 757 |
+
value: 13.79075
|
| 758 |
+
- type: recall_at_100
|
| 759 |
+
value: 26.12841666666667
|
| 760 |
+
- type: recall_at_1000
|
| 761 |
+
value: 46.1115
|
| 762 |
+
- type: recall_at_3
|
| 763 |
+
value: 9.212416666666666
|
| 764 |
+
- type: recall_at_5
|
| 765 |
+
value: 11.006499999999999
|
| 766 |
+
- task:
|
| 767 |
+
type: Retrieval
|
| 768 |
+
dataset:
|
| 769 |
+
type: BeIR/cqadupstack
|
| 770 |
+
name: MTEB CQADupstackStatsRetrieval
|
| 771 |
+
config: default
|
| 772 |
+
split: test
|
| 773 |
+
revision: None
|
| 774 |
+
metrics:
|
| 775 |
+
- type: map_at_1
|
| 776 |
+
value: 4.973000000000001
|
| 777 |
+
- type: map_at_10
|
| 778 |
+
value: 6.583
|
| 779 |
+
- type: map_at_100
|
| 780 |
+
value: 7.013999999999999
|
| 781 |
+
- type: map_at_1000
|
| 782 |
+
value: 7.084
|
| 783 |
+
- type: map_at_3
|
| 784 |
+
value: 5.987
|
| 785 |
+
- type: map_at_5
|
| 786 |
+
value: 6.283999999999999
|
| 787 |
+
- type: mrr_at_1
|
| 788 |
+
value: 6.135
|
| 789 |
+
- type: mrr_at_10
|
| 790 |
+
value: 7.911
|
| 791 |
+
- type: mrr_at_100
|
| 792 |
+
value: 8.381
|
| 793 |
+
- type: mrr_at_1000
|
| 794 |
+
value: 8.451
|
| 795 |
+
- type: mrr_at_3
|
| 796 |
+
value: 7.234
|
| 797 |
+
- type: mrr_at_5
|
| 798 |
+
value: 7.595000000000001
|
| 799 |
+
- type: ndcg_at_1
|
| 800 |
+
value: 6.135
|
| 801 |
+
- type: ndcg_at_10
|
| 802 |
+
value: 7.8420000000000005
|
| 803 |
+
- type: ndcg_at_100
|
| 804 |
+
value: 10.335999999999999
|
| 805 |
+
- type: ndcg_at_1000
|
| 806 |
+
value: 12.742999999999999
|
| 807 |
+
- type: ndcg_at_3
|
| 808 |
+
value: 6.622
|
| 809 |
+
- type: ndcg_at_5
|
| 810 |
+
value: 7.156
|
| 811 |
+
- type: precision_at_1
|
| 812 |
+
value: 6.135
|
| 813 |
+
- type: precision_at_10
|
| 814 |
+
value: 1.3339999999999999
|
| 815 |
+
- type: precision_at_100
|
| 816 |
+
value: 0.293
|
| 817 |
+
- type: precision_at_1000
|
| 818 |
+
value: 0.053
|
| 819 |
+
- type: precision_at_3
|
| 820 |
+
value: 2.965
|
| 821 |
+
- type: precision_at_5
|
| 822 |
+
value: 2.086
|
| 823 |
+
- type: recall_at_1
|
| 824 |
+
value: 4.973000000000001
|
| 825 |
+
- type: recall_at_10
|
| 826 |
+
value: 10.497
|
| 827 |
+
- type: recall_at_100
|
| 828 |
+
value: 22.389
|
| 829 |
+
- type: recall_at_1000
|
| 830 |
+
value: 41.751
|
| 831 |
+
- type: recall_at_3
|
| 832 |
+
value: 7.248
|
| 833 |
+
- type: recall_at_5
|
| 834 |
+
value: 8.526
|
| 835 |
+
- task:
|
| 836 |
+
type: Retrieval
|
| 837 |
+
dataset:
|
| 838 |
+
type: BeIR/cqadupstack
|
| 839 |
+
name: MTEB CQADupstackTexRetrieval
|
| 840 |
+
config: default
|
| 841 |
+
split: test
|
| 842 |
+
revision: None
|
| 843 |
+
metrics:
|
| 844 |
+
- type: map_at_1
|
| 845 |
+
value: 2.541
|
| 846 |
+
- type: map_at_10
|
| 847 |
+
value: 4.168
|
| 848 |
+
- type: map_at_100
|
| 849 |
+
value: 4.492
|
| 850 |
+
- type: map_at_1000
|
| 851 |
+
value: 4.553
|
| 852 |
+
- type: map_at_3
|
| 853 |
+
value: 3.62
|
| 854 |
+
- type: map_at_5
|
| 855 |
+
value: 3.927
|
| 856 |
+
- type: mrr_at_1
|
| 857 |
+
value: 3.131
|
| 858 |
+
- type: mrr_at_10
|
| 859 |
+
value: 5.037
|
| 860 |
+
- type: mrr_at_100
|
| 861 |
+
value: 5.428
|
| 862 |
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- type: mrr_at_1000
|
| 863 |
+
value: 5.487
|
| 864 |
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- type: mrr_at_3
|
| 865 |
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value: 4.422000000000001
|
| 866 |
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- type: mrr_at_5
|
| 867 |
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value: 4.752
|
| 868 |
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- type: ndcg_at_1
|
| 869 |
+
value: 3.131
|
| 870 |
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- type: ndcg_at_10
|
| 871 |
+
value: 5.315
|
| 872 |
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- type: ndcg_at_100
|
| 873 |
+
value: 7.207
|
| 874 |
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- type: ndcg_at_1000
|
| 875 |
+
value: 9.271
|
| 876 |
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- type: ndcg_at_3
|
| 877 |
+
value: 4.244
|
| 878 |
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- type: ndcg_at_5
|
| 879 |
+
value: 4.742
|
| 880 |
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- type: precision_at_1
|
| 881 |
+
value: 3.131
|
| 882 |
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- type: precision_at_10
|
| 883 |
+
value: 1.0699999999999998
|
| 884 |
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- type: precision_at_100
|
| 885 |
+
value: 0.247
|
| 886 |
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- type: precision_at_1000
|
| 887 |
+
value: 0.053
|
| 888 |
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- type: precision_at_3
|
| 889 |
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value: 2.1340000000000003
|
| 890 |
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- type: precision_at_5
|
| 891 |
+
value: 1.624
|
| 892 |
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- type: recall_at_1
|
| 893 |
+
value: 2.541
|
| 894 |
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- type: recall_at_10
|
| 895 |
+
value: 7.8740000000000006
|
| 896 |
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- type: recall_at_100
|
| 897 |
+
value: 16.896
|
| 898 |
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- type: recall_at_1000
|
| 899 |
+
value: 32.423
|
| 900 |
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- type: recall_at_3
|
| 901 |
+
value: 4.925
|
| 902 |
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- type: recall_at_5
|
| 903 |
+
value: 6.181
|
| 904 |
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- task:
|
| 905 |
+
type: Retrieval
|
| 906 |
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dataset:
|
| 907 |
+
type: BeIR/cqadupstack
|
| 908 |
+
name: MTEB CQADupstackUnixRetrieval
|
| 909 |
+
config: default
|
| 910 |
+
split: test
|
| 911 |
+
revision: None
|
| 912 |
+
metrics:
|
| 913 |
+
- type: map_at_1
|
| 914 |
+
value: 5.58
|
| 915 |
+
- type: map_at_10
|
| 916 |
+
value: 7.758
|
| 917 |
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- type: map_at_100
|
| 918 |
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value: 8.168000000000001
|
| 919 |
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- type: map_at_1000
|
| 920 |
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value: 8.239
|
| 921 |
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- type: map_at_3
|
| 922 |
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value: 6.895999999999999
|
| 923 |
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- type: map_at_5
|
| 924 |
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value: 7.412000000000001
|
| 925 |
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- type: mrr_at_1
|
| 926 |
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value: 6.81
|
| 927 |
+
- type: mrr_at_10
|
| 928 |
+
value: 9.295
|
| 929 |
+
- type: mrr_at_100
|
| 930 |
+
value: 9.763
|
| 931 |
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- type: mrr_at_1000
|
| 932 |
+
value: 9.835
|
| 933 |
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- type: mrr_at_3
|
| 934 |
+
value: 8.427
|
| 935 |
+
- type: mrr_at_5
|
| 936 |
+
value: 8.958
|
| 937 |
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- type: ndcg_at_1
|
| 938 |
+
value: 6.81
|
| 939 |
+
- type: ndcg_at_10
|
| 940 |
+
value: 9.436
|
| 941 |
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- type: ndcg_at_100
|
| 942 |
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value: 11.955
|
| 943 |
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- type: ndcg_at_1000
|
| 944 |
+
value: 14.387
|
| 945 |
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- type: ndcg_at_3
|
| 946 |
+
value: 7.7410000000000005
|
| 947 |
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- type: ndcg_at_5
|
| 948 |
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value: 8.622
|
| 949 |
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- type: precision_at_1
|
| 950 |
+
value: 6.81
|
| 951 |
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- type: precision_at_10
|
| 952 |
+
value: 1.6230000000000002
|
| 953 |
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- type: precision_at_100
|
| 954 |
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value: 0.335
|
| 955 |
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- type: precision_at_1000
|
| 956 |
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value: 0.062
|
| 957 |
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- type: precision_at_3
|
| 958 |
+
value: 3.576
|
| 959 |
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- type: precision_at_5
|
| 960 |
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value: 2.6870000000000003
|
| 961 |
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- type: recall_at_1
|
| 962 |
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value: 5.58
|
| 963 |
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- type: recall_at_10
|
| 964 |
+
value: 13.232
|
| 965 |
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- type: recall_at_100
|
| 966 |
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value: 25.233
|
| 967 |
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- type: recall_at_1000
|
| 968 |
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value: 43.864999999999995
|
| 969 |
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- type: recall_at_3
|
| 970 |
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value: 8.549
|
| 971 |
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- type: recall_at_5
|
| 972 |
+
value: 10.799
|
| 973 |
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- task:
|
| 974 |
+
type: Retrieval
|
| 975 |
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dataset:
|
| 976 |
+
type: BeIR/cqadupstack
|
| 977 |
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name: MTEB CQADupstackWebmastersRetrieval
|
| 978 |
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config: default
|
| 979 |
+
split: test
|
| 980 |
+
revision: None
|
| 981 |
+
metrics:
|
| 982 |
+
- type: map_at_1
|
| 983 |
+
value: 3.8739999999999997
|
| 984 |
+
- type: map_at_10
|
| 985 |
+
value: 6.491
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| 986 |
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- type: map_at_100
|
| 987 |
+
value: 7.065
|
| 988 |
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- type: map_at_1000
|
| 989 |
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value: 7.185
|
| 990 |
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- type: map_at_3
|
| 991 |
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value: 5.568
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| 992 |
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- type: map_at_5
|
| 993 |
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value: 6.1080000000000005
|
| 994 |
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- type: mrr_at_1
|
| 995 |
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value: 5.335999999999999
|
| 996 |
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- type: mrr_at_10
|
| 997 |
+
value: 8.288
|
| 998 |
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- type: mrr_at_100
|
| 999 |
+
value: 8.886
|
| 1000 |
+
- type: mrr_at_1000
|
| 1001 |
+
value: 8.976
|
| 1002 |
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- type: mrr_at_3
|
| 1003 |
+
value: 7.115
|
| 1004 |
+
- type: mrr_at_5
|
| 1005 |
+
value: 7.846
|
| 1006 |
+
- type: ndcg_at_1
|
| 1007 |
+
value: 5.335999999999999
|
| 1008 |
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- type: ndcg_at_10
|
| 1009 |
+
value: 8.463
|
| 1010 |
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- type: ndcg_at_100
|
| 1011 |
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value: 11.456
|
| 1012 |
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- type: ndcg_at_1000
|
| 1013 |
+
value: 14.662
|
| 1014 |
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- type: ndcg_at_3
|
| 1015 |
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value: 6.7589999999999995
|
| 1016 |
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- type: ndcg_at_5
|
| 1017 |
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value: 7.5969999999999995
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| 1018 |
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- type: precision_at_1
|
| 1019 |
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value: 5.335999999999999
|
| 1020 |
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- type: precision_at_10
|
| 1021 |
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value: 1.9369999999999998
|
| 1022 |
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- type: precision_at_100
|
| 1023 |
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value: 0.498
|
| 1024 |
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- type: precision_at_1000
|
| 1025 |
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value: 0.116
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| 1026 |
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- type: precision_at_3
|
| 1027 |
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value: 3.689
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| 1028 |
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- type: precision_at_5
|
| 1029 |
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value: 2.9250000000000003
|
| 1030 |
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- type: recall_at_1
|
| 1031 |
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value: 3.8739999999999997
|
| 1032 |
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- type: recall_at_10
|
| 1033 |
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value: 12.281
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| 1034 |
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- type: recall_at_100
|
| 1035 |
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value: 26.368000000000002
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| 1036 |
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- type: recall_at_1000
|
| 1037 |
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value: 50.422
|
| 1038 |
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- type: recall_at_3
|
| 1039 |
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value: 7.353
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| 1040 |
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- type: recall_at_5
|
| 1041 |
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value: 9.66
|
| 1042 |
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- task:
|
| 1043 |
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type: Retrieval
|
| 1044 |
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dataset:
|
| 1045 |
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type: BeIR/cqadupstack
|
| 1046 |
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name: MTEB CQADupstackWordpressRetrieval
|
| 1047 |
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config: default
|
| 1048 |
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split: test
|
| 1049 |
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revision: None
|
| 1050 |
+
metrics:
|
| 1051 |
+
- type: map_at_1
|
| 1052 |
+
value: 2.317
|
| 1053 |
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- type: map_at_10
|
| 1054 |
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value: 3.697
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| 1055 |
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- type: map_at_100
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| 1056 |
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value: 3.9370000000000003
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| 1057 |
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- type: map_at_1000
|
| 1058 |
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value: 3.994
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| 1059 |
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- type: map_at_3
|
| 1060 |
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value: 3.1329999999999996
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| 1061 |
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- type: map_at_5
|
| 1062 |
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value: 3.45
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| 1063 |
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- type: mrr_at_1
|
| 1064 |
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value: 2.588
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| 1065 |
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- type: mrr_at_10
|
| 1066 |
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value: 4.168
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| 1067 |
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- type: mrr_at_100
|
| 1068 |
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value: 4.421
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| 1069 |
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- type: mrr_at_1000
|
| 1070 |
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value: 4.481
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| 1071 |
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- type: mrr_at_3
|
| 1072 |
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value: 3.512
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| 1073 |
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- type: mrr_at_5
|
| 1074 |
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value: 3.909
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| 1075 |
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- type: ndcg_at_1
|
| 1076 |
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value: 2.588
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| 1077 |
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- type: ndcg_at_10
|
| 1078 |
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value: 4.679
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| 1079 |
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- type: ndcg_at_100
|
| 1080 |
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value: 6.114
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| 1081 |
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- type: ndcg_at_1000
|
| 1082 |
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value: 8.167
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| 1083 |
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- type: ndcg_at_3
|
| 1084 |
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value: 3.5290000000000004
|
| 1085 |
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- type: ndcg_at_5
|
| 1086 |
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value: 4.093999999999999
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| 1087 |
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- type: precision_at_1
|
| 1088 |
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value: 2.588
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| 1089 |
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- type: precision_at_10
|
| 1090 |
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value: 0.832
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| 1091 |
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- type: precision_at_100
|
| 1092 |
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value: 0.165
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| 1093 |
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- type: precision_at_1000
|
| 1094 |
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value: 0.037
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| 1095 |
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- type: precision_at_3
|
| 1096 |
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value: 1.6019999999999999
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| 1097 |
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- type: precision_at_5
|
| 1098 |
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value: 1.294
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| 1099 |
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- type: recall_at_1
|
| 1100 |
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value: 2.317
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| 1101 |
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- type: recall_at_10
|
| 1102 |
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value: 7.338
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| 1103 |
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- type: recall_at_100
|
| 1104 |
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value: 14.507
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| 1105 |
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- type: recall_at_1000
|
| 1106 |
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value: 31.226
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| 1107 |
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- type: recall_at_3
|
| 1108 |
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value: 4.258
|
| 1109 |
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- type: recall_at_5
|
| 1110 |
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value: 5.582
|
| 1111 |
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- task:
|
| 1112 |
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type: Classification
|
| 1113 |
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dataset:
|
| 1114 |
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type: mteb/emotion
|
| 1115 |
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name: MTEB EmotionClassification
|
| 1116 |
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config: default
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| 1117 |
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split: test
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| 1118 |
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revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
|
| 1119 |
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metrics:
|
| 1120 |
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- type: accuracy
|
| 1121 |
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value: 33.535
|
| 1122 |
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- type: f1
|
| 1123 |
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value: 29.64261331714107
|
| 1124 |
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- task:
|
| 1125 |
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type: Classification
|
| 1126 |
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dataset:
|
| 1127 |
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type: mteb/imdb
|
| 1128 |
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name: MTEB ImdbClassification
|
| 1129 |
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config: default
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| 1130 |
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split: test
|
| 1131 |
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revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
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| 1132 |
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metrics:
|
| 1133 |
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- type: accuracy
|
| 1134 |
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value: 57.03359999999999
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| 1135 |
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- type: ap
|
| 1136 |
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value: 54.289515246345985
|
| 1137 |
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- type: f1
|
| 1138 |
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value: 56.404319444675686
|
| 1139 |
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- task:
|
| 1140 |
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type: Classification
|
| 1141 |
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dataset:
|
| 1142 |
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type: mteb/mtop_domain
|
| 1143 |
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name: MTEB MTOPDomainClassification (en)
|
| 1144 |
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config: en
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| 1145 |
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split: test
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| 1146 |
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revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
|
| 1147 |
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metrics:
|
| 1148 |
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- type: accuracy
|
| 1149 |
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value: 86.70770633834928
|
| 1150 |
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- type: f1
|
| 1151 |
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value: 86.3521440956975
|
| 1152 |
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- task:
|
| 1153 |
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type: Classification
|
| 1154 |
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dataset:
|
| 1155 |
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type: mteb/mtop_intent
|
| 1156 |
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name: MTEB MTOPIntentClassification (en)
|
| 1157 |
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config: en
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| 1158 |
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split: test
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| 1159 |
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revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
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| 1160 |
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metrics:
|
| 1161 |
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- type: accuracy
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| 1162 |
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value: 62.35750113999089
|
| 1163 |
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- type: f1
|
| 1164 |
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value: 41.01929492285308
|
| 1165 |
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- task:
|
| 1166 |
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type: Classification
|
| 1167 |
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dataset:
|
| 1168 |
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type: mteb/amazon_massive_intent
|
| 1169 |
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name: MTEB MassiveIntentClassification (en)
|
| 1170 |
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config: en
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| 1171 |
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split: test
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| 1172 |
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revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
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| 1173 |
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metrics:
|
| 1174 |
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- type: accuracy
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| 1175 |
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value: 63.34902488231339
|
| 1176 |
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- type: f1
|
| 1177 |
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value: 59.90320313789715
|
| 1178 |
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- task:
|
| 1179 |
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type: Classification
|
| 1180 |
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dataset:
|
| 1181 |
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type: mteb/amazon_massive_scenario
|
| 1182 |
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name: MTEB MassiveScenarioClassification (en)
|
| 1183 |
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config: en
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| 1184 |
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split: test
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| 1185 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
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| 1186 |
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metrics:
|
| 1187 |
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- type: accuracy
|
| 1188 |
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value: 72.51513113651649
|
| 1189 |
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- type: f1
|
| 1190 |
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value: 72.02695487206958
|
| 1191 |
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- task:
|
| 1192 |
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type: Clustering
|
| 1193 |
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dataset:
|
| 1194 |
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type: mteb/medrxiv-clustering-p2p
|
| 1195 |
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name: MTEB MedrxivClusteringP2P
|
| 1196 |
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config: default
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| 1197 |
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split: test
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| 1198 |
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revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
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| 1199 |
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metrics:
|
| 1200 |
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- type: v_measure
|
| 1201 |
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value: 27.274796122083107
|
| 1202 |
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- task:
|
| 1203 |
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type: Clustering
|
| 1204 |
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dataset:
|
| 1205 |
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type: mteb/medrxiv-clustering-s2s
|
| 1206 |
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name: MTEB MedrxivClusteringS2S
|
| 1207 |
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config: default
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| 1208 |
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split: test
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| 1209 |
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revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
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| 1210 |
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metrics:
|
| 1211 |
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- type: v_measure
|
| 1212 |
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value: 26.79725352760558
|
| 1213 |
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- task:
|
| 1214 |
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type: Reranking
|
| 1215 |
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dataset:
|
| 1216 |
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type: mteb/mind_small
|
| 1217 |
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name: MTEB MindSmallReranking
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| 1218 |
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config: default
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| 1219 |
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split: test
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| 1220 |
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revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
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| 1221 |
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metrics:
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| 1222 |
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- type: map
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| 1223 |
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value: 26.13036834909186
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| 1224 |
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- type: mrr
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value: 26.44693141383913
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| 1226 |
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- task:
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| 1227 |
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type: Clustering
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| 1228 |
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dataset:
|
| 1229 |
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type: mteb/reddit-clustering
|
| 1230 |
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name: MTEB RedditClustering
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| 1231 |
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config: default
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| 1232 |
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split: test
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| 1233 |
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revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
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| 1234 |
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metrics:
|
| 1235 |
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- type: v_measure
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| 1236 |
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value: 42.20822777687787
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| 1237 |
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- task:
|
| 1238 |
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type: Clustering
|
| 1239 |
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dataset:
|
| 1240 |
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type: mteb/reddit-clustering-p2p
|
| 1241 |
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name: MTEB RedditClusteringP2P
|
| 1242 |
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config: default
|
| 1243 |
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split: test
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|
| 1249 |
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| 1251 |
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| 1270 |
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dataset:
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name: MTEB STS17 (en-en)
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| 1398 |
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type: mteb/sts22-crosslingual-sts
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| 1399 |
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name: MTEB STS22 (en)
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| 1400 |
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| 1417 |
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| 1425 |
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| 1438 |
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type: Reranking
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dataset:
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| 1440 |
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type: mteb/scidocs-reranking
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| 1441 |
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name: MTEB SciDocsRR
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config: default
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split: test
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metrics:
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| 1446 |
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| 1451 |
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dataset:
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type: mteb/sprintduplicatequestions-pairclassification
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| 1454 |
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name: MTEB SprintDuplicateQuestions
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split: test
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| 1459 |
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value: 99.6009900990099
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value: 80.7
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value: 28.499999999999996
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value: 76.9
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value: 81.10000000000001
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| 1506 |
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| 1507 |
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dataset:
|
| 1508 |
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type: mteb/stackexchange-clustering
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name: MTEB StackExchangeClustering
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split: test
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metrics:
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| 1514 |
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| 1515 |
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value: 51.49824324480644
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| 1516 |
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|
| 1517 |
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type: Clustering
|
| 1518 |
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dataset:
|
| 1519 |
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type: mteb/stackexchange-clustering-p2p
|
| 1520 |
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name: MTEB StackExchangeClusteringP2P
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| 1521 |
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| 1525 |
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value: 29.27365407025942
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| 1527 |
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|
| 1528 |
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type: Reranking
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| 1529 |
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dataset:
|
| 1530 |
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type: mteb/stackoverflowdupquestions-reranking
|
| 1531 |
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name: MTEB StackOverflowDupQuestions
|
| 1532 |
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config: default
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| 1533 |
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split: test
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| 1536 |
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| 1541 |
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| 1542 |
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dataset:
|
| 1543 |
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type: mteb/summeval
|
| 1544 |
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name: MTEB SummEval
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| 1545 |
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config: default
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split: test
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value: 27.279280594311935
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|
| 1558 |
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|
| 1559 |
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dataset:
|
| 1560 |
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type: mteb/toxic_conversations_50k
|
| 1561 |
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name: MTEB ToxicConversationsClassification
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split: test
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|
| 1566 |
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value: 63.2888
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| 1573 |
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dataset:
|
| 1575 |
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type: mteb/tweet_sentiment_extraction
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| 1576 |
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name: MTEB TweetSentimentExtractionClassification
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| 1577 |
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|
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dataset:
|
| 1588 |
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type: mteb/twentynewsgroups-clustering
|
| 1589 |
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name: MTEB TwentyNewsgroupsClustering
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split: test
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value: 37.31132794113957
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| 1596 |
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|
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dataset:
|
| 1599 |
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type: mteb/twittersemeval2015-pairclassification
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| 1600 |
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name: MTEB TwitterSemEval2015
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| 1601 |
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split: test
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| 1605 |
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value: 80.008344757704
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| 1614 |
+
value: 59.36675461741425
|
| 1615 |
+
- type: dot_accuracy
|
| 1616 |
+
value: 77.42743041068128
|
| 1617 |
+
- type: dot_ap
|
| 1618 |
+
value: 19.216239898966027
|
| 1619 |
+
- type: dot_f1
|
| 1620 |
+
value: 36.95323548056761
|
| 1621 |
+
- type: dot_precision
|
| 1622 |
+
value: 22.665550038882575
|
| 1623 |
+
- type: dot_recall
|
| 1624 |
+
value: 99.9736147757256
|
| 1625 |
+
- type: euclidean_accuracy
|
| 1626 |
+
value: 81.12296596530965
|
| 1627 |
+
- type: euclidean_ap
|
| 1628 |
+
value: 55.99371814327642
|
| 1629 |
+
- type: euclidean_f1
|
| 1630 |
+
value: 54.55376528396755
|
| 1631 |
+
- type: euclidean_precision
|
| 1632 |
+
value: 48.11529933481153
|
| 1633 |
+
- type: euclidean_recall
|
| 1634 |
+
value: 62.98153034300792
|
| 1635 |
+
- type: manhattan_accuracy
|
| 1636 |
+
value: 81.3673481552125
|
| 1637 |
+
- type: manhattan_ap
|
| 1638 |
+
value: 57.126538198748456
|
| 1639 |
+
- type: manhattan_f1
|
| 1640 |
+
value: 55.38567651454189
|
| 1641 |
+
- type: manhattan_precision
|
| 1642 |
+
value: 49.073130983907106
|
| 1643 |
+
- type: manhattan_recall
|
| 1644 |
+
value: 63.562005277044854
|
| 1645 |
+
- type: max_accuracy
|
| 1646 |
+
value: 81.3673481552125
|
| 1647 |
+
- type: max_ap
|
| 1648 |
+
value: 57.126538198748456
|
| 1649 |
+
- type: max_f1
|
| 1650 |
+
value: 55.38567651454189
|
| 1651 |
+
- task:
|
| 1652 |
+
type: PairClassification
|
| 1653 |
+
dataset:
|
| 1654 |
+
type: mteb/twitterurlcorpus-pairclassification
|
| 1655 |
+
name: MTEB TwitterURLCorpus
|
| 1656 |
+
config: default
|
| 1657 |
+
split: test
|
| 1658 |
+
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
|
| 1659 |
+
metrics:
|
| 1660 |
+
- type: cos_sim_accuracy
|
| 1661 |
+
value: 84.02607986960065
|
| 1662 |
+
- type: cos_sim_ap
|
| 1663 |
+
value: 74.07757228336027
|
| 1664 |
+
- type: cos_sim_f1
|
| 1665 |
+
value: 66.0694778239021
|
| 1666 |
+
- type: cos_sim_precision
|
| 1667 |
+
value: 62.67790520934089
|
| 1668 |
+
- type: cos_sim_recall
|
| 1669 |
+
value: 69.84909146904835
|
| 1670 |
+
- type: dot_accuracy
|
| 1671 |
+
value: 74.79722125198897
|
| 1672 |
+
- type: dot_ap
|
| 1673 |
+
value: 25.478024888904727
|
| 1674 |
+
- type: dot_f1
|
| 1675 |
+
value: 40.76642277589147
|
| 1676 |
+
- type: dot_precision
|
| 1677 |
+
value: 25.705095989546688
|
| 1678 |
+
- type: dot_recall
|
| 1679 |
+
value: 98.45241761626117
|
| 1680 |
+
- type: euclidean_accuracy
|
| 1681 |
+
value: 85.51053673303062
|
| 1682 |
+
- type: euclidean_ap
|
| 1683 |
+
value: 78.24178926488659
|
| 1684 |
+
- type: euclidean_f1
|
| 1685 |
+
value: 70.50944224857267
|
| 1686 |
+
- type: euclidean_precision
|
| 1687 |
+
value: 67.19447544642857
|
| 1688 |
+
- type: euclidean_recall
|
| 1689 |
+
value: 74.16846319679703
|
| 1690 |
+
- type: manhattan_accuracy
|
| 1691 |
+
value: 85.72398804672643
|
| 1692 |
+
- type: manhattan_ap
|
| 1693 |
+
value: 78.90411073933831
|
| 1694 |
+
- type: manhattan_f1
|
| 1695 |
+
value: 70.90586145648314
|
| 1696 |
+
- type: manhattan_precision
|
| 1697 |
+
value: 65.8224508640021
|
| 1698 |
+
- type: manhattan_recall
|
| 1699 |
+
value: 76.84016014782877
|
| 1700 |
+
- type: max_accuracy
|
| 1701 |
+
value: 85.72398804672643
|
| 1702 |
+
- type: max_ap
|
| 1703 |
+
value: 78.90411073933831
|
| 1704 |
+
- type: max_f1
|
| 1705 |
+
value: 70.90586145648314
|
| 1706 |
---
|
| 1707 |
|
| 1708 |
# clip-ViT-B-32
|