Update README.md
Browse filesupdate mteb metric
README.md
CHANGED
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@@ -6,4 +6,1180 @@ tags:
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| 6 |
- sentence-transformers
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| 7 |
- sentence-similarity
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| 8 |
- mteb
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| 9 |
---
|
|
|
|
| 6 |
- sentence-transformers
|
| 7 |
- sentence-similarity
|
| 8 |
- mteb
|
| 9 |
+
model-index:
|
| 10 |
+
- name: zh
|
| 11 |
+
results:
|
| 12 |
+
- task:
|
| 13 |
+
type: STS
|
| 14 |
+
dataset:
|
| 15 |
+
type: C-MTEB/AFQMC
|
| 16 |
+
name: MTEB AFQMC
|
| 17 |
+
config: default
|
| 18 |
+
split: validation
|
| 19 |
+
revision: b44c3b011063adb25877c13823db83bb193913c4
|
| 20 |
+
metrics:
|
| 21 |
+
- type: cos_sim_pearson
|
| 22 |
+
value: 36.298796333105045
|
| 23 |
+
- type: cos_sim_spearman
|
| 24 |
+
value: 37.341572623120264
|
| 25 |
+
- type: euclidean_pearson
|
| 26 |
+
value: 36.64243583928722
|
| 27 |
+
- type: euclidean_spearman
|
| 28 |
+
value: 37.34155251464738
|
| 29 |
+
- type: manhattan_pearson
|
| 30 |
+
value: 36.619985504965335
|
| 31 |
+
- type: manhattan_spearman
|
| 32 |
+
value: 37.33234474856907
|
| 33 |
+
- task:
|
| 34 |
+
type: STS
|
| 35 |
+
dataset:
|
| 36 |
+
type: C-MTEB/ATEC
|
| 37 |
+
name: MTEB ATEC
|
| 38 |
+
config: default
|
| 39 |
+
split: test
|
| 40 |
+
revision: 0f319b1142f28d00e055a6770f3f726ae9b7d865
|
| 41 |
+
metrics:
|
| 42 |
+
- type: cos_sim_pearson
|
| 43 |
+
value: 39.479909222662606
|
| 44 |
+
- type: cos_sim_spearman
|
| 45 |
+
value: 41.931326522020626
|
| 46 |
+
- type: euclidean_pearson
|
| 47 |
+
value: 42.96034449758286
|
| 48 |
+
- type: euclidean_spearman
|
| 49 |
+
value: 41.9313332762864
|
| 50 |
+
- type: manhattan_pearson
|
| 51 |
+
value: 42.91465081487226
|
| 52 |
+
- type: manhattan_spearman
|
| 53 |
+
value: 41.891856959411506
|
| 54 |
+
- task:
|
| 55 |
+
type: Classification
|
| 56 |
+
dataset:
|
| 57 |
+
type: mteb/amazon_reviews_multi
|
| 58 |
+
name: MTEB AmazonReviewsClassification (zh)
|
| 59 |
+
config: zh
|
| 60 |
+
split: test
|
| 61 |
+
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
|
| 62 |
+
metrics:
|
| 63 |
+
- type: accuracy
|
| 64 |
+
value: 47.553999999999995
|
| 65 |
+
- type: f1
|
| 66 |
+
value: 44.225487078758015
|
| 67 |
+
- task:
|
| 68 |
+
type: STS
|
| 69 |
+
dataset:
|
| 70 |
+
type: C-MTEB/BQ
|
| 71 |
+
name: MTEB BQ
|
| 72 |
+
config: default
|
| 73 |
+
split: test
|
| 74 |
+
revision: e3dda5e115e487b39ec7e618c0c6a29137052a55
|
| 75 |
+
metrics:
|
| 76 |
+
- type: cos_sim_pearson
|
| 77 |
+
value: 67.41540794294842
|
| 78 |
+
- type: cos_sim_spearman
|
| 79 |
+
value: 71.19680444103656
|
| 80 |
+
- type: euclidean_pearson
|
| 81 |
+
value: 69.59374493550702
|
| 82 |
+
- type: euclidean_spearman
|
| 83 |
+
value: 71.19680789937125
|
| 84 |
+
- type: manhattan_pearson
|
| 85 |
+
value: 69.57503405147493
|
| 86 |
+
- type: manhattan_spearman
|
| 87 |
+
value: 71.19417171802891
|
| 88 |
+
- task:
|
| 89 |
+
type: Clustering
|
| 90 |
+
dataset:
|
| 91 |
+
type: C-MTEB/CLSClusteringP2P
|
| 92 |
+
name: MTEB CLSClusteringP2P
|
| 93 |
+
config: default
|
| 94 |
+
split: test
|
| 95 |
+
revision: 4b6227591c6c1a73bc76b1055f3b7f3588e72476
|
| 96 |
+
metrics:
|
| 97 |
+
- type: v_measure
|
| 98 |
+
value: 40.006865414718185
|
| 99 |
+
- task:
|
| 100 |
+
type: Clustering
|
| 101 |
+
dataset:
|
| 102 |
+
type: C-MTEB/CLSClusteringS2S
|
| 103 |
+
name: MTEB CLSClusteringS2S
|
| 104 |
+
config: default
|
| 105 |
+
split: test
|
| 106 |
+
revision: e458b3f5414b62b7f9f83499ac1f5497ae2e869f
|
| 107 |
+
metrics:
|
| 108 |
+
- type: v_measure
|
| 109 |
+
value: 38.199450302104204
|
| 110 |
+
- task:
|
| 111 |
+
type: Reranking
|
| 112 |
+
dataset:
|
| 113 |
+
type: C-MTEB/CMedQAv1-reranking
|
| 114 |
+
name: MTEB CMedQAv1
|
| 115 |
+
config: default
|
| 116 |
+
split: test
|
| 117 |
+
revision: 8d7f1e942507dac42dc58017c1a001c3717da7df
|
| 118 |
+
metrics:
|
| 119 |
+
- type: map
|
| 120 |
+
value: 74.51766322144272
|
| 121 |
+
- type: mrr
|
| 122 |
+
value: 78.04591269841269
|
| 123 |
+
- task:
|
| 124 |
+
type: Reranking
|
| 125 |
+
dataset:
|
| 126 |
+
type: C-MTEB/CMedQAv2-reranking
|
| 127 |
+
name: MTEB CMedQAv2
|
| 128 |
+
config: default
|
| 129 |
+
split: test
|
| 130 |
+
revision: 23d186750531a14a0357ca22cd92d712fd512ea0
|
| 131 |
+
metrics:
|
| 132 |
+
- type: map
|
| 133 |
+
value: 75.6387269126998
|
| 134 |
+
- type: mrr
|
| 135 |
+
value: 79.5725
|
| 136 |
+
- task:
|
| 137 |
+
type: Retrieval
|
| 138 |
+
dataset:
|
| 139 |
+
type: C-MTEB/CmedqaRetrieval
|
| 140 |
+
name: MTEB CmedqaRetrieval
|
| 141 |
+
config: default
|
| 142 |
+
split: dev
|
| 143 |
+
revision: cd540c506dae1cf9e9a59c3e06f42030d54e7301
|
| 144 |
+
metrics:
|
| 145 |
+
- type: map_at_1
|
| 146 |
+
value: 16.788
|
| 147 |
+
- type: map_at_10
|
| 148 |
+
value: 25.224999999999998
|
| 149 |
+
- type: map_at_100
|
| 150 |
+
value: 26.862000000000002
|
| 151 |
+
- type: map_at_1000
|
| 152 |
+
value: 27.037
|
| 153 |
+
- type: map_at_3
|
| 154 |
+
value: 22.398
|
| 155 |
+
- type: map_at_5
|
| 156 |
+
value: 23.889
|
| 157 |
+
- type: mrr_at_1
|
| 158 |
+
value: 26.656999999999996
|
| 159 |
+
- type: mrr_at_10
|
| 160 |
+
value: 33.501999999999995
|
| 161 |
+
- type: mrr_at_100
|
| 162 |
+
value: 34.538999999999994
|
| 163 |
+
- type: mrr_at_1000
|
| 164 |
+
value: 34.626000000000005
|
| 165 |
+
- type: mrr_at_3
|
| 166 |
+
value: 31.374999999999996
|
| 167 |
+
- type: mrr_at_5
|
| 168 |
+
value: 32.535
|
| 169 |
+
- type: ndcg_at_1
|
| 170 |
+
value: 26.656999999999996
|
| 171 |
+
- type: ndcg_at_10
|
| 172 |
+
value: 30.675
|
| 173 |
+
- type: ndcg_at_100
|
| 174 |
+
value: 37.797
|
| 175 |
+
- type: ndcg_at_1000
|
| 176 |
+
value: 41.416
|
| 177 |
+
- type: ndcg_at_3
|
| 178 |
+
value: 26.827
|
| 179 |
+
- type: ndcg_at_5
|
| 180 |
+
value: 28.292
|
| 181 |
+
- type: precision_at_1
|
| 182 |
+
value: 26.656999999999996
|
| 183 |
+
- type: precision_at_10
|
| 184 |
+
value: 6.973999999999999
|
| 185 |
+
- type: precision_at_100
|
| 186 |
+
value: 1.286
|
| 187 |
+
- type: precision_at_1000
|
| 188 |
+
value: 0.174
|
| 189 |
+
- type: precision_at_3
|
| 190 |
+
value: 15.421000000000001
|
| 191 |
+
- type: precision_at_5
|
| 192 |
+
value: 11.133
|
| 193 |
+
- type: recall_at_1
|
| 194 |
+
value: 16.788
|
| 195 |
+
- type: recall_at_10
|
| 196 |
+
value: 38.746
|
| 197 |
+
- type: recall_at_100
|
| 198 |
+
value: 68.759
|
| 199 |
+
- type: recall_at_1000
|
| 200 |
+
value: 93.848
|
| 201 |
+
- type: recall_at_3
|
| 202 |
+
value: 26.807
|
| 203 |
+
- type: recall_at_5
|
| 204 |
+
value: 31.696999999999996
|
| 205 |
+
- task:
|
| 206 |
+
type: PairClassification
|
| 207 |
+
dataset:
|
| 208 |
+
type: C-MTEB/CMNLI
|
| 209 |
+
name: MTEB Cmnli
|
| 210 |
+
config: default
|
| 211 |
+
split: validation
|
| 212 |
+
revision: 41bc36f332156f7adc9e38f53777c959b2ae9766
|
| 213 |
+
metrics:
|
| 214 |
+
- type: cos_sim_accuracy
|
| 215 |
+
value: 61.14251352976549
|
| 216 |
+
- type: cos_sim_ap
|
| 217 |
+
value: 66.0067234682187
|
| 218 |
+
- type: cos_sim_f1
|
| 219 |
+
value: 68.08438532576463
|
| 220 |
+
- type: cos_sim_precision
|
| 221 |
+
value: 53.38825405261759
|
| 222 |
+
- type: cos_sim_recall
|
| 223 |
+
value: 93.9443535188216
|
| 224 |
+
- type: dot_accuracy
|
| 225 |
+
value: 61.14251352976549
|
| 226 |
+
- type: dot_ap
|
| 227 |
+
value: 65.99885462184204
|
| 228 |
+
- type: dot_f1
|
| 229 |
+
value: 68.08438532576463
|
| 230 |
+
- type: dot_precision
|
| 231 |
+
value: 53.38825405261759
|
| 232 |
+
- type: dot_recall
|
| 233 |
+
value: 93.9443535188216
|
| 234 |
+
- type: euclidean_accuracy
|
| 235 |
+
value: 61.14251352976549
|
| 236 |
+
- type: euclidean_ap
|
| 237 |
+
value: 66.0068124858108
|
| 238 |
+
- type: euclidean_f1
|
| 239 |
+
value: 68.08438532576463
|
| 240 |
+
- type: euclidean_precision
|
| 241 |
+
value: 53.38825405261759
|
| 242 |
+
- type: euclidean_recall
|
| 243 |
+
value: 93.9443535188216
|
| 244 |
+
- type: manhattan_accuracy
|
| 245 |
+
value: 61.10643415514131
|
| 246 |
+
- type: manhattan_ap
|
| 247 |
+
value: 66.00394480408306
|
| 248 |
+
- type: manhattan_f1
|
| 249 |
+
value: 68.1290759718811
|
| 250 |
+
- type: manhattan_precision
|
| 251 |
+
value: 53.41301460823373
|
| 252 |
+
- type: manhattan_recall
|
| 253 |
+
value: 94.03787701660042
|
| 254 |
+
- type: max_accuracy
|
| 255 |
+
value: 61.14251352976549
|
| 256 |
+
- type: max_ap
|
| 257 |
+
value: 66.0068124858108
|
| 258 |
+
- type: max_f1
|
| 259 |
+
value: 68.1290759718811
|
| 260 |
+
- task:
|
| 261 |
+
type: Retrieval
|
| 262 |
+
dataset:
|
| 263 |
+
type: C-MTEB/CovidRetrieval
|
| 264 |
+
name: MTEB CovidRetrieval
|
| 265 |
+
config: default
|
| 266 |
+
split: dev
|
| 267 |
+
revision: 1271c7809071a13532e05f25fb53511ffce77117
|
| 268 |
+
metrics:
|
| 269 |
+
- type: map_at_1
|
| 270 |
+
value: 49.315
|
| 271 |
+
- type: map_at_10
|
| 272 |
+
value: 59.998
|
| 273 |
+
- type: map_at_100
|
| 274 |
+
value: 60.649
|
| 275 |
+
- type: map_at_1000
|
| 276 |
+
value: 60.668
|
| 277 |
+
- type: map_at_3
|
| 278 |
+
value: 57.727
|
| 279 |
+
- type: map_at_5
|
| 280 |
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value: 59.019999999999996
|
| 281 |
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- type: mrr_at_1
|
| 282 |
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value: 49.419999999999995
|
| 283 |
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- type: mrr_at_10
|
| 284 |
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value: 60.036
|
| 285 |
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- type: mrr_at_100
|
| 286 |
+
value: 60.678
|
| 287 |
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- type: mrr_at_1000
|
| 288 |
+
value: 60.697
|
| 289 |
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- type: mrr_at_3
|
| 290 |
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value: 57.833
|
| 291 |
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- type: mrr_at_5
|
| 292 |
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value: 59.097
|
| 293 |
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- type: ndcg_at_1
|
| 294 |
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value: 49.419999999999995
|
| 295 |
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- type: ndcg_at_10
|
| 296 |
+
value: 64.976
|
| 297 |
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- type: ndcg_at_100
|
| 298 |
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value: 68.068
|
| 299 |
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- type: ndcg_at_1000
|
| 300 |
+
value: 68.587
|
| 301 |
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- type: ndcg_at_3
|
| 302 |
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value: 60.358000000000004
|
| 303 |
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- type: ndcg_at_5
|
| 304 |
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value: 62.668
|
| 305 |
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- type: precision_at_1
|
| 306 |
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value: 49.419999999999995
|
| 307 |
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- type: precision_at_10
|
| 308 |
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value: 8.124
|
| 309 |
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- type: precision_at_100
|
| 310 |
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value: 0.958
|
| 311 |
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- type: precision_at_1000
|
| 312 |
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value: 0.1
|
| 313 |
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- type: precision_at_3
|
| 314 |
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value: 22.726
|
| 315 |
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- type: precision_at_5
|
| 316 |
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value: 14.795
|
| 317 |
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- type: recall_at_1
|
| 318 |
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value: 49.315
|
| 319 |
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- type: recall_at_10
|
| 320 |
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value: 80.453
|
| 321 |
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- type: recall_at_100
|
| 322 |
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value: 94.731
|
| 323 |
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- type: recall_at_1000
|
| 324 |
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value: 98.84100000000001
|
| 325 |
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- type: recall_at_3
|
| 326 |
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value: 67.861
|
| 327 |
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- type: recall_at_5
|
| 328 |
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value: 73.393
|
| 329 |
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- task:
|
| 330 |
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type: Retrieval
|
| 331 |
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dataset:
|
| 332 |
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type: C-MTEB/DuRetrieval
|
| 333 |
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name: MTEB DuRetrieval
|
| 334 |
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config: default
|
| 335 |
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split: dev
|
| 336 |
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revision: a1a333e290fe30b10f3f56498e3a0d911a693ced
|
| 337 |
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metrics:
|
| 338 |
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- type: map_at_1
|
| 339 |
+
value: 21.493000000000002
|
| 340 |
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- type: map_at_10
|
| 341 |
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value: 64.066
|
| 342 |
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- type: map_at_100
|
| 343 |
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value: 67.917
|
| 344 |
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- type: map_at_1000
|
| 345 |
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value: 68.02
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| 346 |
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- type: map_at_3
|
| 347 |
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value: 43.847
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| 348 |
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- type: map_at_5
|
| 349 |
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value: 55.18300000000001
|
| 350 |
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- type: mrr_at_1
|
| 351 |
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value: 76.5
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| 352 |
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- type: mrr_at_10
|
| 353 |
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value: 84.057
|
| 354 |
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- type: mrr_at_100
|
| 355 |
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value: 84.19
|
| 356 |
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- type: mrr_at_1000
|
| 357 |
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value: 84.195
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| 358 |
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- type: mrr_at_3
|
| 359 |
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value: 83.125
|
| 360 |
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- type: mrr_at_5
|
| 361 |
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value: 83.817
|
| 362 |
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- type: ndcg_at_1
|
| 363 |
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value: 76.5
|
| 364 |
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- type: ndcg_at_10
|
| 365 |
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value: 74.601
|
| 366 |
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- type: ndcg_at_100
|
| 367 |
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value: 80.072
|
| 368 |
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- type: ndcg_at_1000
|
| 369 |
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value: 81.047
|
| 370 |
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- type: ndcg_at_3
|
| 371 |
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value: 72.16799999999999
|
| 372 |
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- type: ndcg_at_5
|
| 373 |
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value: 71.479
|
| 374 |
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- type: precision_at_1
|
| 375 |
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value: 76.5
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| 376 |
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- type: precision_at_10
|
| 377 |
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value: 36.385
|
| 378 |
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- type: precision_at_100
|
| 379 |
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value: 4.633
|
| 380 |
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- type: precision_at_1000
|
| 381 |
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value: 0.48700000000000004
|
| 382 |
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- type: precision_at_3
|
| 383 |
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value: 64.617
|
| 384 |
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- type: precision_at_5
|
| 385 |
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value: 54.89000000000001
|
| 386 |
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- type: recall_at_1
|
| 387 |
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value: 21.493000000000002
|
| 388 |
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- type: recall_at_10
|
| 389 |
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value: 77.387
|
| 390 |
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- type: recall_at_100
|
| 391 |
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value: 93.996
|
| 392 |
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- type: recall_at_1000
|
| 393 |
+
value: 98.83
|
| 394 |
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- type: recall_at_3
|
| 395 |
+
value: 47.563
|
| 396 |
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- type: recall_at_5
|
| 397 |
+
value: 62.883
|
| 398 |
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- task:
|
| 399 |
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type: Retrieval
|
| 400 |
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dataset:
|
| 401 |
+
type: C-MTEB/EcomRetrieval
|
| 402 |
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name: MTEB EcomRetrieval
|
| 403 |
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config: default
|
| 404 |
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split: dev
|
| 405 |
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revision: 687de13dc7294d6fd9be10c6945f9e8fec8166b9
|
| 406 |
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metrics:
|
| 407 |
+
- type: map_at_1
|
| 408 |
+
value: 28.499999999999996
|
| 409 |
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- type: map_at_10
|
| 410 |
+
value: 37.271
|
| 411 |
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- type: map_at_100
|
| 412 |
+
value: 38.318000000000005
|
| 413 |
+
- type: map_at_1000
|
| 414 |
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value: 38.362
|
| 415 |
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- type: map_at_3
|
| 416 |
+
value: 34.2
|
| 417 |
+
- type: map_at_5
|
| 418 |
+
value: 35.97
|
| 419 |
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- type: mrr_at_1
|
| 420 |
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value: 28.499999999999996
|
| 421 |
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- type: mrr_at_10
|
| 422 |
+
value: 37.271
|
| 423 |
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- type: mrr_at_100
|
| 424 |
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value: 38.318000000000005
|
| 425 |
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- type: mrr_at_1000
|
| 426 |
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value: 38.362
|
| 427 |
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- type: mrr_at_3
|
| 428 |
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value: 34.2
|
| 429 |
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- type: mrr_at_5
|
| 430 |
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value: 35.97
|
| 431 |
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- type: ndcg_at_1
|
| 432 |
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value: 28.499999999999996
|
| 433 |
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- type: ndcg_at_10
|
| 434 |
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value: 42.419000000000004
|
| 435 |
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- type: ndcg_at_100
|
| 436 |
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value: 47.591
|
| 437 |
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- type: ndcg_at_1000
|
| 438 |
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value: 48.791000000000004
|
| 439 |
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- type: ndcg_at_3
|
| 440 |
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value: 36.074
|
| 441 |
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- type: ndcg_at_5
|
| 442 |
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value: 39.275
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| 443 |
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- type: precision_at_1
|
| 444 |
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value: 28.499999999999996
|
| 445 |
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- type: precision_at_10
|
| 446 |
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value: 5.8999999999999995
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| 447 |
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- type: precision_at_100
|
| 448 |
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value: 0.8340000000000001
|
| 449 |
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- type: precision_at_1000
|
| 450 |
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value: 0.093
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| 451 |
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- type: precision_at_3
|
| 452 |
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value: 13.833
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| 453 |
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- type: precision_at_5
|
| 454 |
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value: 9.86
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| 455 |
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- type: recall_at_1
|
| 456 |
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value: 28.499999999999996
|
| 457 |
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- type: recall_at_10
|
| 458 |
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value: 59.0
|
| 459 |
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- type: recall_at_100
|
| 460 |
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value: 83.39999999999999
|
| 461 |
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- type: recall_at_1000
|
| 462 |
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value: 92.9
|
| 463 |
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- type: recall_at_3
|
| 464 |
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value: 41.5
|
| 465 |
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- type: recall_at_5
|
| 466 |
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value: 49.3
|
| 467 |
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- task:
|
| 468 |
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type: Classification
|
| 469 |
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dataset:
|
| 470 |
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type: C-MTEB/IFlyTek-classification
|
| 471 |
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name: MTEB IFlyTek
|
| 472 |
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config: default
|
| 473 |
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split: validation
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| 474 |
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revision: 421605374b29664c5fc098418fe20ada9bd55f8a
|
| 475 |
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metrics:
|
| 476 |
+
- type: accuracy
|
| 477 |
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value: 44.563293574451706
|
| 478 |
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- type: f1
|
| 479 |
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value: 30.778378421912002
|
| 480 |
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- task:
|
| 481 |
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type: Classification
|
| 482 |
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dataset:
|
| 483 |
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type: C-MTEB/JDReview-classification
|
| 484 |
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name: MTEB JDReview
|
| 485 |
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config: default
|
| 486 |
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split: test
|
| 487 |
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revision: b7c64bd89eb87f8ded463478346f76731f07bf8b
|
| 488 |
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metrics:
|
| 489 |
+
- type: accuracy
|
| 490 |
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value: 89.23076923076924
|
| 491 |
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- type: ap
|
| 492 |
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value: 61.032723799932974
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| 493 |
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- type: f1
|
| 494 |
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value: 84.49441280498773
|
| 495 |
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- task:
|
| 496 |
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type: STS
|
| 497 |
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dataset:
|
| 498 |
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type: C-MTEB/LCQMC
|
| 499 |
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name: MTEB LCQMC
|
| 500 |
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config: default
|
| 501 |
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split: test
|
| 502 |
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revision: 17f9b096f80380fce5ed12a9be8be7784b337daf
|
| 503 |
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metrics:
|
| 504 |
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- type: cos_sim_pearson
|
| 505 |
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value: 66.22719629640424
|
| 506 |
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- type: cos_sim_spearman
|
| 507 |
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value: 72.87558846789628
|
| 508 |
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- type: euclidean_pearson
|
| 509 |
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value: 71.17001015918034
|
| 510 |
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- type: euclidean_spearman
|
| 511 |
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value: 72.8755973307354
|
| 512 |
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- type: manhattan_pearson
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| 513 |
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value: 71.27354402109685
|
| 514 |
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- type: manhattan_spearman
|
| 515 |
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value: 72.9741374432873
|
| 516 |
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- task:
|
| 517 |
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type: Reranking
|
| 518 |
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dataset:
|
| 519 |
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type: C-MTEB/Mmarco-reranking
|
| 520 |
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name: MTEB MMarcoReranking
|
| 521 |
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config: default
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| 522 |
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split: dev
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| 523 |
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revision: 8e0c766dbe9e16e1d221116a3f36795fbade07f6
|
| 524 |
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metrics:
|
| 525 |
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- type: map
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| 526 |
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value: 17.12412338289922
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| 527 |
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- type: mrr
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| 528 |
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value: 15.632936507936506
|
| 529 |
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- task:
|
| 530 |
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type: Retrieval
|
| 531 |
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dataset:
|
| 532 |
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type: C-MTEB/MMarcoRetrieval
|
| 533 |
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name: MTEB MMarcoRetrieval
|
| 534 |
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config: default
|
| 535 |
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split: dev
|
| 536 |
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revision: 539bbde593d947e2a124ba72651aafc09eb33fc2
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| 537 |
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metrics:
|
| 538 |
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| 539 |
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value: 43.888
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| 540 |
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- type: map_at_10
|
| 541 |
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value: 53.053
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| 542 |
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- type: map_at_100
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| 543 |
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value: 53.702000000000005
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| 544 |
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- type: map_at_1000
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| 545 |
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value: 53.739000000000004
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| 546 |
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- type: map_at_3
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| 547 |
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value: 50.613
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| 548 |
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- type: map_at_5
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| 549 |
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value: 52.035
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| 550 |
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- type: mrr_at_1
|
| 551 |
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value: 45.587
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| 552 |
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|
| 553 |
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value: 53.921
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| 554 |
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|
| 555 |
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value: 54.51200000000001
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| 556 |
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| 557 |
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value: 54.54599999999999
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| 558 |
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|
| 559 |
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value: 51.690999999999995
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| 560 |
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| 561 |
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value: 52.977
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| 562 |
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- type: ndcg_at_1
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| 563 |
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value: 45.587
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| 564 |
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| 565 |
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value: 57.619
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| 566 |
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| 567 |
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value: 60.76200000000001
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| 568 |
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- type: ndcg_at_1000
|
| 569 |
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value: 61.797000000000004
|
| 570 |
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- type: ndcg_at_3
|
| 571 |
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value: 52.805
|
| 572 |
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- type: ndcg_at_5
|
| 573 |
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value: 55.239000000000004
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| 574 |
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- type: precision_at_1
|
| 575 |
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value: 45.587
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| 576 |
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- type: precision_at_10
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| 577 |
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value: 7.564
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| 578 |
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- type: precision_at_100
|
| 579 |
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value: 0.915
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| 580 |
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- type: precision_at_1000
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| 581 |
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value: 0.1
|
| 582 |
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- type: precision_at_3
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| 583 |
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value: 20.468
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| 584 |
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- type: precision_at_5
|
| 585 |
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value: 13.572999999999999
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| 586 |
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- type: recall_at_1
|
| 587 |
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value: 43.888
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| 588 |
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- type: recall_at_10
|
| 589 |
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value: 71.06700000000001
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| 590 |
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- type: recall_at_100
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| 591 |
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value: 85.765
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| 592 |
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- type: recall_at_1000
|
| 593 |
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value: 94.038
|
| 594 |
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- type: recall_at_3
|
| 595 |
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value: 58.069
|
| 596 |
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- type: recall_at_5
|
| 597 |
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value: 63.848000000000006
|
| 598 |
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- task:
|
| 599 |
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type: Classification
|
| 600 |
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dataset:
|
| 601 |
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type: mteb/amazon_massive_intent
|
| 602 |
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name: MTEB MassiveIntentClassification (zh-CN)
|
| 603 |
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config: zh-CN
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| 604 |
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split: test
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| 605 |
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revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
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| 606 |
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metrics:
|
| 607 |
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- type: accuracy
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| 608 |
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value: 60.423671822461344
|
| 609 |
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- type: f1
|
| 610 |
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value: 56.82053357104769
|
| 611 |
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- task:
|
| 612 |
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type: Classification
|
| 613 |
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dataset:
|
| 614 |
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type: mteb/amazon_massive_scenario
|
| 615 |
+
name: MTEB MassiveScenarioClassification (zh-CN)
|
| 616 |
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config: zh-CN
|
| 617 |
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split: test
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| 618 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
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| 619 |
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metrics:
|
| 620 |
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- type: accuracy
|
| 621 |
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value: 68.69199731002018
|
| 622 |
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- type: f1
|
| 623 |
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value: 68.36036256101542
|
| 624 |
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- task:
|
| 625 |
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type: Retrieval
|
| 626 |
+
dataset:
|
| 627 |
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type: C-MTEB/MedicalRetrieval
|
| 628 |
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name: MTEB MedicalRetrieval
|
| 629 |
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config: default
|
| 630 |
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split: dev
|
| 631 |
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revision: 2039188fb5800a9803ba5048df7b76e6fb151fc6
|
| 632 |
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metrics:
|
| 633 |
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- type: map_at_1
|
| 634 |
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value: 38.0
|
| 635 |
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- type: map_at_10
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| 636 |
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value: 43.6
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| 637 |
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| 638 |
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value: 44.235
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| 639 |
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| 640 |
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value: 44.299
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| 641 |
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| 642 |
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value: 42.016999999999996
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| 643 |
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| 644 |
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value: 42.862
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| 645 |
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| 646 |
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value: 38.1
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| 648 |
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value: 43.65
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| 649 |
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| 650 |
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value: 44.284
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| 652 |
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value: 44.348
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| 653 |
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| 654 |
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value: 42.067
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| 655 |
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| 656 |
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value: 42.912
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| 657 |
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value: 38.0
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| 660 |
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value: 46.537
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| 661 |
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| 662 |
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value: 49.936
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| 664 |
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value: 51.925
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| 665 |
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| 666 |
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value: 43.251
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| 667 |
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| 668 |
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value: 44.753
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| 669 |
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- type: precision_at_1
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| 670 |
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value: 38.0
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| 671 |
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- type: precision_at_10
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| 672 |
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value: 5.59
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| 673 |
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- type: precision_at_100
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| 674 |
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value: 0.7250000000000001
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- type: precision_at_1000
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| 676 |
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value: 0.089
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- type: precision_at_3
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| 678 |
+
value: 15.6
|
| 679 |
+
- type: precision_at_5
|
| 680 |
+
value: 10.08
|
| 681 |
+
- type: recall_at_1
|
| 682 |
+
value: 38.0
|
| 683 |
+
- type: recall_at_10
|
| 684 |
+
value: 55.900000000000006
|
| 685 |
+
- type: recall_at_100
|
| 686 |
+
value: 72.5
|
| 687 |
+
- type: recall_at_1000
|
| 688 |
+
value: 88.8
|
| 689 |
+
- type: recall_at_3
|
| 690 |
+
value: 46.800000000000004
|
| 691 |
+
- type: recall_at_5
|
| 692 |
+
value: 50.4
|
| 693 |
+
- task:
|
| 694 |
+
type: Retrieval
|
| 695 |
+
dataset:
|
| 696 |
+
type: Shitao/MLDR
|
| 697 |
+
name: MTEB MultiLongDocRetrieval (zh)
|
| 698 |
+
config: zh
|
| 699 |
+
split: test
|
| 700 |
+
revision: None
|
| 701 |
+
metrics:
|
| 702 |
+
- type: map_at_1
|
| 703 |
+
value: 7.75
|
| 704 |
+
- type: map_at_10
|
| 705 |
+
value: 10.508000000000001
|
| 706 |
+
- type: map_at_100
|
| 707 |
+
value: 10.988000000000001
|
| 708 |
+
- type: map_at_1000
|
| 709 |
+
value: 11.059
|
| 710 |
+
- type: map_at_3
|
| 711 |
+
value: 9.417
|
| 712 |
+
- type: map_at_5
|
| 713 |
+
value: 9.942
|
| 714 |
+
- type: mrr_at_1
|
| 715 |
+
value: 7.75
|
| 716 |
+
- type: mrr_at_10
|
| 717 |
+
value: 10.508000000000001
|
| 718 |
+
- type: mrr_at_100
|
| 719 |
+
value: 10.988000000000001
|
| 720 |
+
- type: mrr_at_1000
|
| 721 |
+
value: 11.06
|
| 722 |
+
- type: mrr_at_3
|
| 723 |
+
value: 9.417
|
| 724 |
+
- type: mrr_at_5
|
| 725 |
+
value: 9.942
|
| 726 |
+
- type: ndcg_at_1
|
| 727 |
+
value: 7.75
|
| 728 |
+
- type: ndcg_at_10
|
| 729 |
+
value: 12.315
|
| 730 |
+
- type: ndcg_at_100
|
| 731 |
+
value: 15.018999999999998
|
| 732 |
+
- type: ndcg_at_1000
|
| 733 |
+
value: 17.424999999999997
|
| 734 |
+
- type: ndcg_at_3
|
| 735 |
+
value: 9.982000000000001
|
| 736 |
+
- type: ndcg_at_5
|
| 737 |
+
value: 10.918
|
| 738 |
+
- type: precision_at_1
|
| 739 |
+
value: 7.75
|
| 740 |
+
- type: precision_at_10
|
| 741 |
+
value: 1.825
|
| 742 |
+
- type: precision_at_100
|
| 743 |
+
value: 0.317
|
| 744 |
+
- type: precision_at_1000
|
| 745 |
+
value: 0.052
|
| 746 |
+
- type: precision_at_3
|
| 747 |
+
value: 3.875
|
| 748 |
+
- type: precision_at_5
|
| 749 |
+
value: 2.775
|
| 750 |
+
- type: recall_at_1
|
| 751 |
+
value: 7.75
|
| 752 |
+
- type: recall_at_10
|
| 753 |
+
value: 18.25
|
| 754 |
+
- type: recall_at_100
|
| 755 |
+
value: 31.75
|
| 756 |
+
- type: recall_at_1000
|
| 757 |
+
value: 51.74999999999999
|
| 758 |
+
- type: recall_at_3
|
| 759 |
+
value: 11.625
|
| 760 |
+
- type: recall_at_5
|
| 761 |
+
value: 13.875000000000002
|
| 762 |
+
- task:
|
| 763 |
+
type: Classification
|
| 764 |
+
dataset:
|
| 765 |
+
type: C-MTEB/MultilingualSentiment-classification
|
| 766 |
+
name: MTEB MultilingualSentiment
|
| 767 |
+
config: default
|
| 768 |
+
split: validation
|
| 769 |
+
revision: 46958b007a63fdbf239b7672c25d0bea67b5ea1a
|
| 770 |
+
metrics:
|
| 771 |
+
- type: accuracy
|
| 772 |
+
value: 78.42
|
| 773 |
+
- type: f1
|
| 774 |
+
value: 78.06136479834592
|
| 775 |
+
- task:
|
| 776 |
+
type: PairClassification
|
| 777 |
+
dataset:
|
| 778 |
+
type: C-MTEB/OCNLI
|
| 779 |
+
name: MTEB Ocnli
|
| 780 |
+
config: default
|
| 781 |
+
split: validation
|
| 782 |
+
revision: 66e76a618a34d6d565d5538088562851e6daa7ec
|
| 783 |
+
metrics:
|
| 784 |
+
- type: cos_sim_accuracy
|
| 785 |
+
value: 59.61017866811045
|
| 786 |
+
- type: cos_sim_ap
|
| 787 |
+
value: 60.271467647520495
|
| 788 |
+
- type: cos_sim_f1
|
| 789 |
+
value: 69.19575113808801
|
| 790 |
+
- type: cos_sim_precision
|
| 791 |
+
value: 53.99644760213144
|
| 792 |
+
- type: cos_sim_recall
|
| 793 |
+
value: 96.30411826821542
|
| 794 |
+
- type: dot_accuracy
|
| 795 |
+
value: 59.61017866811045
|
| 796 |
+
- type: dot_ap
|
| 797 |
+
value: 60.271467647520495
|
| 798 |
+
- type: dot_f1
|
| 799 |
+
value: 69.19575113808801
|
| 800 |
+
- type: dot_precision
|
| 801 |
+
value: 53.99644760213144
|
| 802 |
+
- type: dot_recall
|
| 803 |
+
value: 96.30411826821542
|
| 804 |
+
- type: euclidean_accuracy
|
| 805 |
+
value: 59.61017866811045
|
| 806 |
+
- type: euclidean_ap
|
| 807 |
+
value: 60.271467647520495
|
| 808 |
+
- type: euclidean_f1
|
| 809 |
+
value: 69.19575113808801
|
| 810 |
+
- type: euclidean_precision
|
| 811 |
+
value: 53.99644760213144
|
| 812 |
+
- type: euclidean_recall
|
| 813 |
+
value: 96.30411826821542
|
| 814 |
+
- type: manhattan_accuracy
|
| 815 |
+
value: 59.7184623714131
|
| 816 |
+
- type: manhattan_ap
|
| 817 |
+
value: 60.32264902752218
|
| 818 |
+
- type: manhattan_f1
|
| 819 |
+
value: 69.22201138519924
|
| 820 |
+
- type: manhattan_precision
|
| 821 |
+
value: 54.02843601895735
|
| 822 |
+
- type: manhattan_recall
|
| 823 |
+
value: 96.30411826821542
|
| 824 |
+
- type: max_accuracy
|
| 825 |
+
value: 59.7184623714131
|
| 826 |
+
- type: max_ap
|
| 827 |
+
value: 60.32264902752218
|
| 828 |
+
- type: max_f1
|
| 829 |
+
value: 69.22201138519924
|
| 830 |
+
- task:
|
| 831 |
+
type: Classification
|
| 832 |
+
dataset:
|
| 833 |
+
type: C-MTEB/OnlineShopping-classification
|
| 834 |
+
name: MTEB OnlineShopping
|
| 835 |
+
config: default
|
| 836 |
+
split: test
|
| 837 |
+
revision: e610f2ebd179a8fda30ae534c3878750a96db120
|
| 838 |
+
metrics:
|
| 839 |
+
- type: accuracy
|
| 840 |
+
value: 93.05000000000001
|
| 841 |
+
- type: ap
|
| 842 |
+
value: 91.18195895507802
|
| 843 |
+
- type: f1
|
| 844 |
+
value: 93.04021920382944
|
| 845 |
+
- task:
|
| 846 |
+
type: STS
|
| 847 |
+
dataset:
|
| 848 |
+
type: C-MTEB/PAWSX
|
| 849 |
+
name: MTEB PAWSX
|
| 850 |
+
config: default
|
| 851 |
+
split: test
|
| 852 |
+
revision: 9c6a90e430ac22b5779fb019a23e820b11a8b5e1
|
| 853 |
+
metrics:
|
| 854 |
+
- type: cos_sim_pearson
|
| 855 |
+
value: 15.646669268679258
|
| 856 |
+
- type: cos_sim_spearman
|
| 857 |
+
value: 18.210627988600088
|
| 858 |
+
- type: euclidean_pearson
|
| 859 |
+
value: 18.545700775834135
|
| 860 |
+
- type: euclidean_spearman
|
| 861 |
+
value: 18.22638450822432
|
| 862 |
+
- type: manhattan_pearson
|
| 863 |
+
value: 18.56718129015248
|
| 864 |
+
- type: manhattan_spearman
|
| 865 |
+
value: 18.27028021184377
|
| 866 |
+
- task:
|
| 867 |
+
type: PairClassification
|
| 868 |
+
dataset:
|
| 869 |
+
type: paws-x
|
| 870 |
+
name: MTEB PawsX (zh)
|
| 871 |
+
config: zh
|
| 872 |
+
split: test
|
| 873 |
+
revision: 8a04d940a42cd40658986fdd8e3da561533a3646
|
| 874 |
+
metrics:
|
| 875 |
+
- type: cos_sim_accuracy
|
| 876 |
+
value: 59.599999999999994
|
| 877 |
+
- type: cos_sim_ap
|
| 878 |
+
value: 57.39257507549949
|
| 879 |
+
- type: cos_sim_f1
|
| 880 |
+
value: 62.32136632973162
|
| 881 |
+
- type: cos_sim_precision
|
| 882 |
+
value: 45.265822784810126
|
| 883 |
+
- type: cos_sim_recall
|
| 884 |
+
value: 100.0
|
| 885 |
+
- type: dot_accuracy
|
| 886 |
+
value: 59.599999999999994
|
| 887 |
+
- type: dot_ap
|
| 888 |
+
value: 56.98345226457827
|
| 889 |
+
- type: dot_f1
|
| 890 |
+
value: 62.32136632973162
|
| 891 |
+
- type: dot_precision
|
| 892 |
+
value: 45.265822784810126
|
| 893 |
+
- type: dot_recall
|
| 894 |
+
value: 100.0
|
| 895 |
+
- type: euclidean_accuracy
|
| 896 |
+
value: 59.599999999999994
|
| 897 |
+
- type: euclidean_ap
|
| 898 |
+
value: 57.3922995193463
|
| 899 |
+
- type: euclidean_f1
|
| 900 |
+
value: 62.32136632973162
|
| 901 |
+
- type: euclidean_precision
|
| 902 |
+
value: 45.265822784810126
|
| 903 |
+
- type: euclidean_recall
|
| 904 |
+
value: 100.0
|
| 905 |
+
- type: manhattan_accuracy
|
| 906 |
+
value: 59.550000000000004
|
| 907 |
+
- type: manhattan_ap
|
| 908 |
+
value: 57.409507119268376
|
| 909 |
+
- type: manhattan_f1
|
| 910 |
+
value: 62.32136632973162
|
| 911 |
+
- type: manhattan_precision
|
| 912 |
+
value: 45.265822784810126
|
| 913 |
+
- type: manhattan_recall
|
| 914 |
+
value: 100.0
|
| 915 |
+
- type: max_accuracy
|
| 916 |
+
value: 59.599999999999994
|
| 917 |
+
- type: max_ap
|
| 918 |
+
value: 57.409507119268376
|
| 919 |
+
- type: max_f1
|
| 920 |
+
value: 62.32136632973162
|
| 921 |
+
- task:
|
| 922 |
+
type: STS
|
| 923 |
+
dataset:
|
| 924 |
+
type: C-MTEB/QBQTC
|
| 925 |
+
name: MTEB QBQTC
|
| 926 |
+
config: default
|
| 927 |
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split: test
|
| 928 |
+
revision: 790b0510dc52b1553e8c49f3d2afb48c0e5c48b7
|
| 929 |
+
metrics:
|
| 930 |
+
- type: cos_sim_pearson
|
| 931 |
+
value: 26.20813788138459
|
| 932 |
+
- type: cos_sim_spearman
|
| 933 |
+
value: 27.161390755734427
|
| 934 |
+
- type: euclidean_pearson
|
| 935 |
+
value: 25.38239308132396
|
| 936 |
+
- type: euclidean_spearman
|
| 937 |
+
value: 27.161458517606906
|
| 938 |
+
- type: manhattan_pearson
|
| 939 |
+
value: 25.533861242377704
|
| 940 |
+
- type: manhattan_spearman
|
| 941 |
+
value: 27.356882292991834
|
| 942 |
+
- task:
|
| 943 |
+
type: STS
|
| 944 |
+
dataset:
|
| 945 |
+
type: mteb/sts22-crosslingual-sts
|
| 946 |
+
name: MTEB STS22 (zh)
|
| 947 |
+
config: zh
|
| 948 |
+
split: test
|
| 949 |
+
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
|
| 950 |
+
metrics:
|
| 951 |
+
- type: cos_sim_pearson
|
| 952 |
+
value: 63.437181390975624
|
| 953 |
+
- type: cos_sim_spearman
|
| 954 |
+
value: 66.42410464140018
|
| 955 |
+
- type: euclidean_pearson
|
| 956 |
+
value: 65.23091221659769
|
| 957 |
+
- type: euclidean_spearman
|
| 958 |
+
value: 66.42410464140018
|
| 959 |
+
- type: manhattan_pearson
|
| 960 |
+
value: 65.42430798528258
|
| 961 |
+
- type: manhattan_spearman
|
| 962 |
+
value: 66.44811980407968
|
| 963 |
+
- task:
|
| 964 |
+
type: STS
|
| 965 |
+
dataset:
|
| 966 |
+
type: C-MTEB/STSB
|
| 967 |
+
name: MTEB STSB
|
| 968 |
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config: default
|
| 969 |
+
split: test
|
| 970 |
+
revision: 0cde68302b3541bb8b3c340dc0644b0b745b3dc0
|
| 971 |
+
metrics:
|
| 972 |
+
- type: cos_sim_pearson
|
| 973 |
+
value: 67.13526185743584
|
| 974 |
+
- type: cos_sim_spearman
|
| 975 |
+
value: 67.87262977922003
|
| 976 |
+
- type: euclidean_pearson
|
| 977 |
+
value: 68.01501802788067
|
| 978 |
+
- type: euclidean_spearman
|
| 979 |
+
value: 67.87241377586508
|
| 980 |
+
- type: manhattan_pearson
|
| 981 |
+
value: 68.03194534033594
|
| 982 |
+
- type: manhattan_spearman
|
| 983 |
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value: 67.91448799292998
|
| 984 |
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- task:
|
| 985 |
+
type: Reranking
|
| 986 |
+
dataset:
|
| 987 |
+
type: C-MTEB/T2Reranking
|
| 988 |
+
name: MTEB T2Reranking
|
| 989 |
+
config: default
|
| 990 |
+
split: dev
|
| 991 |
+
revision: 76631901a18387f85eaa53e5450019b87ad58ef9
|
| 992 |
+
metrics:
|
| 993 |
+
- type: map
|
| 994 |
+
value: 64.41164023353707
|
| 995 |
+
- type: mrr
|
| 996 |
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value: 74.15855283661647
|
| 997 |
+
- task:
|
| 998 |
+
type: Retrieval
|
| 999 |
+
dataset:
|
| 1000 |
+
type: C-MTEB/T2Retrieval
|
| 1001 |
+
name: MTEB T2Retrieval
|
| 1002 |
+
config: default
|
| 1003 |
+
split: dev
|
| 1004 |
+
revision: 8731a845f1bf500a4f111cf1070785c793d10e64
|
| 1005 |
+
metrics:
|
| 1006 |
+
- type: map_at_1
|
| 1007 |
+
value: 20.456
|
| 1008 |
+
- type: map_at_10
|
| 1009 |
+
value: 57.611999999999995
|
| 1010 |
+
- type: map_at_100
|
| 1011 |
+
value: 62.104000000000006
|
| 1012 |
+
- type: map_at_1000
|
| 1013 |
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value: 62.251999999999995
|
| 1014 |
+
- type: map_at_3
|
| 1015 |
+
value: 39.806999999999995
|
| 1016 |
+
- type: map_at_5
|
| 1017 |
+
value: 49.016999999999996
|
| 1018 |
+
- type: mrr_at_1
|
| 1019 |
+
value: 73.685
|
| 1020 |
+
- type: mrr_at_10
|
| 1021 |
+
value: 79.361
|
| 1022 |
+
- type: mrr_at_100
|
| 1023 |
+
value: 79.63799999999999
|
| 1024 |
+
- type: mrr_at_1000
|
| 1025 |
+
value: 79.649
|
| 1026 |
+
- type: mrr_at_3
|
| 1027 |
+
value: 78.144
|
| 1028 |
+
- type: mrr_at_5
|
| 1029 |
+
value: 78.89699999999999
|
| 1030 |
+
- type: ndcg_at_1
|
| 1031 |
+
value: 73.685
|
| 1032 |
+
- type: ndcg_at_10
|
| 1033 |
+
value: 67.824
|
| 1034 |
+
- type: ndcg_at_100
|
| 1035 |
+
value: 74.399
|
| 1036 |
+
- type: ndcg_at_1000
|
| 1037 |
+
value: 75.949
|
| 1038 |
+
- type: ndcg_at_3
|
| 1039 |
+
value: 68.643
|
| 1040 |
+
- type: ndcg_at_5
|
| 1041 |
+
value: 67.108
|
| 1042 |
+
- type: precision_at_1
|
| 1043 |
+
value: 73.685
|
| 1044 |
+
- type: precision_at_10
|
| 1045 |
+
value: 34.904
|
| 1046 |
+
- type: precision_at_100
|
| 1047 |
+
value: 4.714
|
| 1048 |
+
- type: precision_at_1000
|
| 1049 |
+
value: 0.508
|
| 1050 |
+
- type: precision_at_3
|
| 1051 |
+
value: 60.587
|
| 1052 |
+
- type: precision_at_5
|
| 1053 |
+
value: 50.892
|
| 1054 |
+
- type: recall_at_1
|
| 1055 |
+
value: 20.456
|
| 1056 |
+
- type: recall_at_10
|
| 1057 |
+
value: 68.314
|
| 1058 |
+
- type: recall_at_100
|
| 1059 |
+
value: 88.67399999999999
|
| 1060 |
+
- type: recall_at_1000
|
| 1061 |
+
value: 96.48400000000001
|
| 1062 |
+
- type: recall_at_3
|
| 1063 |
+
value: 42.498999999999995
|
| 1064 |
+
- type: recall_at_5
|
| 1065 |
+
value: 54.492
|
| 1066 |
+
- task:
|
| 1067 |
+
type: Classification
|
| 1068 |
+
dataset:
|
| 1069 |
+
type: C-MTEB/TNews-classification
|
| 1070 |
+
name: MTEB TNews
|
| 1071 |
+
config: default
|
| 1072 |
+
split: validation
|
| 1073 |
+
revision: 317f262bf1e6126357bbe89e875451e4b0938fe4
|
| 1074 |
+
metrics:
|
| 1075 |
+
- type: accuracy
|
| 1076 |
+
value: 50.258
|
| 1077 |
+
- type: f1
|
| 1078 |
+
value: 48.46817969810712
|
| 1079 |
+
- task:
|
| 1080 |
+
type: Clustering
|
| 1081 |
+
dataset:
|
| 1082 |
+
type: C-MTEB/ThuNewsClusteringP2P
|
| 1083 |
+
name: MTEB ThuNewsClusteringP2P
|
| 1084 |
+
config: default
|
| 1085 |
+
split: test
|
| 1086 |
+
revision: 5798586b105c0434e4f0fe5e767abe619442cf93
|
| 1087 |
+
metrics:
|
| 1088 |
+
- type: v_measure
|
| 1089 |
+
value: 59.39920752654844
|
| 1090 |
+
- task:
|
| 1091 |
+
type: Clustering
|
| 1092 |
+
dataset:
|
| 1093 |
+
type: C-MTEB/ThuNewsClusteringS2S
|
| 1094 |
+
name: MTEB ThuNewsClusteringS2S
|
| 1095 |
+
config: default
|
| 1096 |
+
split: test
|
| 1097 |
+
revision: 8a8b2caeda43f39e13c4bc5bea0f8a667896e10d
|
| 1098 |
+
metrics:
|
| 1099 |
+
- type: v_measure
|
| 1100 |
+
value: 55.52800428947542
|
| 1101 |
+
- task:
|
| 1102 |
+
type: Retrieval
|
| 1103 |
+
dataset:
|
| 1104 |
+
type: C-MTEB/VideoRetrieval
|
| 1105 |
+
name: MTEB VideoRetrieval
|
| 1106 |
+
config: default
|
| 1107 |
+
split: dev
|
| 1108 |
+
revision: 58c2597a5943a2ba48f4668c3b90d796283c5639
|
| 1109 |
+
metrics:
|
| 1110 |
+
- type: map_at_1
|
| 1111 |
+
value: 25.4
|
| 1112 |
+
- type: map_at_10
|
| 1113 |
+
value: 33.43
|
| 1114 |
+
- type: map_at_100
|
| 1115 |
+
value: 34.259
|
| 1116 |
+
- type: map_at_1000
|
| 1117 |
+
value: 34.329
|
| 1118 |
+
- type: map_at_3
|
| 1119 |
+
value: 30.817
|
| 1120 |
+
- type: map_at_5
|
| 1121 |
+
value: 32.422000000000004
|
| 1122 |
+
- type: mrr_at_1
|
| 1123 |
+
value: 25.3
|
| 1124 |
+
- type: mrr_at_10
|
| 1125 |
+
value: 33.379999999999995
|
| 1126 |
+
- type: mrr_at_100
|
| 1127 |
+
value: 34.209
|
| 1128 |
+
- type: mrr_at_1000
|
| 1129 |
+
value: 34.278999999999996
|
| 1130 |
+
- type: mrr_at_3
|
| 1131 |
+
value: 30.767
|
| 1132 |
+
- type: mrr_at_5
|
| 1133 |
+
value: 32.372
|
| 1134 |
+
- type: ndcg_at_1
|
| 1135 |
+
value: 25.4
|
| 1136 |
+
- type: ndcg_at_10
|
| 1137 |
+
value: 37.797
|
| 1138 |
+
- type: ndcg_at_100
|
| 1139 |
+
value: 42.168
|
| 1140 |
+
- type: ndcg_at_1000
|
| 1141 |
+
value: 44.194
|
| 1142 |
+
- type: ndcg_at_3
|
| 1143 |
+
value: 32.537
|
| 1144 |
+
- type: ndcg_at_5
|
| 1145 |
+
value: 35.403
|
| 1146 |
+
- type: precision_at_1
|
| 1147 |
+
value: 25.4
|
| 1148 |
+
- type: precision_at_10
|
| 1149 |
+
value: 5.17
|
| 1150 |
+
- type: precision_at_100
|
| 1151 |
+
value: 0.73
|
| 1152 |
+
- type: precision_at_1000
|
| 1153 |
+
value: 0.089
|
| 1154 |
+
- type: precision_at_3
|
| 1155 |
+
value: 12.5
|
| 1156 |
+
- type: precision_at_5
|
| 1157 |
+
value: 8.88
|
| 1158 |
+
- type: recall_at_1
|
| 1159 |
+
value: 25.4
|
| 1160 |
+
- type: recall_at_10
|
| 1161 |
+
value: 51.7
|
| 1162 |
+
- type: recall_at_100
|
| 1163 |
+
value: 73.0
|
| 1164 |
+
- type: recall_at_1000
|
| 1165 |
+
value: 89.3
|
| 1166 |
+
- type: recall_at_3
|
| 1167 |
+
value: 37.5
|
| 1168 |
+
- type: recall_at_5
|
| 1169 |
+
value: 44.4
|
| 1170 |
+
- task:
|
| 1171 |
+
type: Classification
|
| 1172 |
+
dataset:
|
| 1173 |
+
type: C-MTEB/waimai-classification
|
| 1174 |
+
name: MTEB Waimai
|
| 1175 |
+
config: default
|
| 1176 |
+
split: test
|
| 1177 |
+
revision: 339287def212450dcaa9df8c22bf93e9980c7023
|
| 1178 |
+
metrics:
|
| 1179 |
+
- type: accuracy
|
| 1180 |
+
value: 89.17000000000002
|
| 1181 |
+
- type: ap
|
| 1182 |
+
value: 74.83484198968617
|
| 1183 |
+
- type: f1
|
| 1184 |
+
value: 87.84607916808504
|
| 1185 |
---
|