Update metadata with huggingface_hub
Browse files
README.md
CHANGED
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@@ -1,6 +1,1785 @@
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---
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quantized_by: bartowski
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pipeline_tag: text-generation
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| 4 |
---
|
| 5 |
## 💫 Community Model> granite embedding 125m english by Ibm-Granite
|
| 6 |
|
|
|
|
| 1 |
---
|
| 2 |
quantized_by: bartowski
|
| 3 |
pipeline_tag: text-generation
|
| 4 |
+
language:
|
| 5 |
+
- en
|
| 6 |
+
tags:
|
| 7 |
+
- language
|
| 8 |
+
- granite
|
| 9 |
+
- embeddings
|
| 10 |
+
license: apache-2.0
|
| 11 |
+
base_model: ibm-granite/granite-embedding-125m-english
|
| 12 |
+
model-index:
|
| 13 |
+
- name: ibm-granite/granite-embedding-125m-english
|
| 14 |
+
results:
|
| 15 |
+
- task:
|
| 16 |
+
type: Retrieval
|
| 17 |
+
dataset:
|
| 18 |
+
name: MTEB ArguaAna
|
| 19 |
+
type: mteb/arguana
|
| 20 |
+
config: default
|
| 21 |
+
split: test
|
| 22 |
+
metrics:
|
| 23 |
+
- type: map_at_1
|
| 24 |
+
value: 0.33642
|
| 25 |
+
- type: map_at_10
|
| 26 |
+
value: 0.49716
|
| 27 |
+
- type: map_at_100
|
| 28 |
+
value: 0.50519
|
| 29 |
+
- type: map_at_1000
|
| 30 |
+
value: 0.50521
|
| 31 |
+
- type: map_at_3
|
| 32 |
+
value: 0.45057
|
| 33 |
+
- type: map_at_5
|
| 34 |
+
value: 0.47774
|
| 35 |
+
- type: mrr_at_1
|
| 36 |
+
value: 0.34922
|
| 37 |
+
- type: mrr_at_10
|
| 38 |
+
value: 0.50197
|
| 39 |
+
- type: mrr_at_100
|
| 40 |
+
value: 0.50992
|
| 41 |
+
- type: mrr_at_1000
|
| 42 |
+
value: 0.50994
|
| 43 |
+
- type: mrr_at_3
|
| 44 |
+
value: 0.45484
|
| 45 |
+
- type: mrr_at_5
|
| 46 |
+
value: 0.48272
|
| 47 |
+
- type: ndcg_at_1
|
| 48 |
+
value: 0.33642
|
| 49 |
+
- type: ndcg_at_10
|
| 50 |
+
value: 0.58401
|
| 51 |
+
- type: ndcg_at_100
|
| 52 |
+
value: 0.6157
|
| 53 |
+
- type: ndcg_at_1000
|
| 54 |
+
value: 0.61608
|
| 55 |
+
- type: ndcg_at_3
|
| 56 |
+
value: 0.48825
|
| 57 |
+
- type: ndcg_at_5
|
| 58 |
+
value: 0.53689
|
| 59 |
+
- type: precision_at_1
|
| 60 |
+
value: 0.33642
|
| 61 |
+
- type: precision_at_10
|
| 62 |
+
value: 0.08606
|
| 63 |
+
- type: precision_at_100
|
| 64 |
+
value: 0.00994
|
| 65 |
+
- type: precision_at_1000
|
| 66 |
+
value: 0.001
|
| 67 |
+
- type: precision_at_3
|
| 68 |
+
value: 0.19915
|
| 69 |
+
- type: precision_at_5
|
| 70 |
+
value: 0.14296
|
| 71 |
+
- type: recall_at_1
|
| 72 |
+
value: 0.33642
|
| 73 |
+
- type: recall_at_10
|
| 74 |
+
value: 0.8606
|
| 75 |
+
- type: recall_at_100
|
| 76 |
+
value: 0.9936
|
| 77 |
+
- type: recall_at_1000
|
| 78 |
+
value: 0.99644
|
| 79 |
+
- type: recall_at_3
|
| 80 |
+
value: 0.59744
|
| 81 |
+
- type: recall_at_5
|
| 82 |
+
value: 0.71479
|
| 83 |
+
- task:
|
| 84 |
+
type: Retrieval
|
| 85 |
+
dataset:
|
| 86 |
+
name: MTEB ClimateFEVER
|
| 87 |
+
type: mteb/climate-fever
|
| 88 |
+
config: default
|
| 89 |
+
split: test
|
| 90 |
+
metrics:
|
| 91 |
+
- type: map_at_1
|
| 92 |
+
value: 0.1457
|
| 93 |
+
- type: map_at_10
|
| 94 |
+
value: 0.24102
|
| 95 |
+
- type: map_at_100
|
| 96 |
+
value: 0.25826
|
| 97 |
+
- type: map_at_1000
|
| 98 |
+
value: 0.26021
|
| 99 |
+
- type: map_at_3
|
| 100 |
+
value: 0.20346
|
| 101 |
+
- type: map_at_5
|
| 102 |
+
value: 0.22228
|
| 103 |
+
- type: mrr_at_1
|
| 104 |
+
value: 0.32573
|
| 105 |
+
- type: mrr_at_10
|
| 106 |
+
value: 0.44411
|
| 107 |
+
- type: mrr_at_100
|
| 108 |
+
value: 0.45176
|
| 109 |
+
- type: mrr_at_1000
|
| 110 |
+
value: 0.45209
|
| 111 |
+
- type: mrr_at_3
|
| 112 |
+
value: 0.4126
|
| 113 |
+
- type: mrr_at_5
|
| 114 |
+
value: 0.43312
|
| 115 |
+
- type: ndcg_at_1
|
| 116 |
+
value: 0.32573
|
| 117 |
+
- type: ndcg_at_10
|
| 118 |
+
value: 0.3315
|
| 119 |
+
- type: ndcg_at_100
|
| 120 |
+
value: 0.39898
|
| 121 |
+
- type: ndcg_at_1000
|
| 122 |
+
value: 0.43151
|
| 123 |
+
- type: ndcg_at_3
|
| 124 |
+
value: 0.27683
|
| 125 |
+
- type: ndcg_at_5
|
| 126 |
+
value: 0.29538
|
| 127 |
+
- type: precision_at_1
|
| 128 |
+
value: 0.32573
|
| 129 |
+
- type: precision_at_10
|
| 130 |
+
value: 0.10176
|
| 131 |
+
- type: precision_at_100
|
| 132 |
+
value: 0.01754
|
| 133 |
+
- type: precision_at_1000
|
| 134 |
+
value: 0.00236
|
| 135 |
+
- type: precision_at_3
|
| 136 |
+
value: 0.20347
|
| 137 |
+
- type: precision_at_5
|
| 138 |
+
value: 0.15505
|
| 139 |
+
- type: recall_at_1
|
| 140 |
+
value: 0.1457
|
| 141 |
+
- type: recall_at_10
|
| 142 |
+
value: 0.38825
|
| 143 |
+
- type: recall_at_100
|
| 144 |
+
value: 0.62237
|
| 145 |
+
- type: recall_at_1000
|
| 146 |
+
value: 0.8022
|
| 147 |
+
- type: recall_at_3
|
| 148 |
+
value: 0.25245
|
| 149 |
+
- type: recall_at_5
|
| 150 |
+
value: 0.30821
|
| 151 |
+
- task:
|
| 152 |
+
type: Retrieval
|
| 153 |
+
dataset:
|
| 154 |
+
name: MTEB CQADupstackAndroidRetrieval
|
| 155 |
+
type: mteb/cqadupstack-android
|
| 156 |
+
config: default
|
| 157 |
+
split: test
|
| 158 |
+
metrics:
|
| 159 |
+
- type: map_at_1
|
| 160 |
+
value: 0.36964
|
| 161 |
+
- type: map_at_10
|
| 162 |
+
value: 0.5043
|
| 163 |
+
- type: map_at_100
|
| 164 |
+
value: 0.52066
|
| 165 |
+
- type: map_at_1000
|
| 166 |
+
value: 0.52175
|
| 167 |
+
- type: map_at_3
|
| 168 |
+
value: 0.46001
|
| 169 |
+
- type: map_at_5
|
| 170 |
+
value: 0.48312
|
| 171 |
+
- type: mrr_at_1
|
| 172 |
+
value: 0.45923
|
| 173 |
+
- type: mrr_at_10
|
| 174 |
+
value: 0.56733
|
| 175 |
+
- type: mrr_at_100
|
| 176 |
+
value: 0.57292
|
| 177 |
+
- type: mrr_at_1000
|
| 178 |
+
value: 0.57321
|
| 179 |
+
- type: mrr_at_3
|
| 180 |
+
value: 0.54053
|
| 181 |
+
- type: mrr_at_5
|
| 182 |
+
value: 0.55556
|
| 183 |
+
- type: ndcg_at_1
|
| 184 |
+
value: 0.45923
|
| 185 |
+
- type: ndcg_at_10
|
| 186 |
+
value: 0.57667
|
| 187 |
+
- type: ndcg_at_100
|
| 188 |
+
value: 0.62373
|
| 189 |
+
- type: ndcg_at_1000
|
| 190 |
+
value: 0.6368
|
| 191 |
+
- type: ndcg_at_3
|
| 192 |
+
value: 0.51843
|
| 193 |
+
- type: ndcg_at_5
|
| 194 |
+
value: 0.54257
|
| 195 |
+
- type: precision_at_1
|
| 196 |
+
value: 0.45923
|
| 197 |
+
- type: precision_at_10
|
| 198 |
+
value: 0.11316
|
| 199 |
+
- type: precision_at_100
|
| 200 |
+
value: 0.01705
|
| 201 |
+
- type: precision_at_1000
|
| 202 |
+
value: 0.00216
|
| 203 |
+
- type: precision_at_3
|
| 204 |
+
value: 0.2537
|
| 205 |
+
- type: precision_at_5
|
| 206 |
+
value: 0.1814
|
| 207 |
+
- type: recall_at_1
|
| 208 |
+
value: 0.36964
|
| 209 |
+
- type: recall_at_10
|
| 210 |
+
value: 0.71234
|
| 211 |
+
- type: recall_at_100
|
| 212 |
+
value: 0.90421
|
| 213 |
+
- type: recall_at_1000
|
| 214 |
+
value: 0.98296
|
| 215 |
+
- type: recall_at_3
|
| 216 |
+
value: 0.53655
|
| 217 |
+
- type: recall_at_5
|
| 218 |
+
value: 0.60996
|
| 219 |
+
- task:
|
| 220 |
+
type: Retrieval
|
| 221 |
+
dataset:
|
| 222 |
+
name: MTEB CQADupstackEnglishRetrieval
|
| 223 |
+
type: mteb/cqadupstack-english
|
| 224 |
+
config: default
|
| 225 |
+
split: test
|
| 226 |
+
metrics:
|
| 227 |
+
- type: map_at_1
|
| 228 |
+
value: 0.36198
|
| 229 |
+
- type: map_at_10
|
| 230 |
+
value: 0.49199
|
| 231 |
+
- type: map_at_100
|
| 232 |
+
value: 0.50602
|
| 233 |
+
- type: map_at_1000
|
| 234 |
+
value: 0.50736
|
| 235 |
+
- type: map_at_3
|
| 236 |
+
value: 0.45678
|
| 237 |
+
- type: map_at_5
|
| 238 |
+
value: 0.47605
|
| 239 |
+
- type: mrr_at_1
|
| 240 |
+
value: 0.45478
|
| 241 |
+
- type: mrr_at_10
|
| 242 |
+
value: 0.55075
|
| 243 |
+
- type: mrr_at_100
|
| 244 |
+
value: 0.55656
|
| 245 |
+
- type: mrr_at_1000
|
| 246 |
+
value: 0.55688
|
| 247 |
+
- type: mrr_at_3
|
| 248 |
+
value: 0.52887
|
| 249 |
+
- type: mrr_at_5
|
| 250 |
+
value: 0.54282
|
| 251 |
+
- type: ndcg_at_1
|
| 252 |
+
value: 0.45478
|
| 253 |
+
- type: ndcg_at_10
|
| 254 |
+
value: 0.55505
|
| 255 |
+
- type: ndcg_at_100
|
| 256 |
+
value: 0.59606
|
| 257 |
+
- type: ndcg_at_1000
|
| 258 |
+
value: 0.61255
|
| 259 |
+
- type: ndcg_at_3
|
| 260 |
+
value: 0.51124
|
| 261 |
+
- type: ndcg_at_5
|
| 262 |
+
value: 0.53166
|
| 263 |
+
- type: precision_at_1
|
| 264 |
+
value: 0.45478
|
| 265 |
+
- type: precision_at_10
|
| 266 |
+
value: 0.10752
|
| 267 |
+
- type: precision_at_100
|
| 268 |
+
value: 0.01666
|
| 269 |
+
- type: precision_at_1000
|
| 270 |
+
value: 0.00211
|
| 271 |
+
- type: precision_at_3
|
| 272 |
+
value: 0.25053
|
| 273 |
+
- type: precision_at_5
|
| 274 |
+
value: 0.17694
|
| 275 |
+
- type: recall_at_1
|
| 276 |
+
value: 0.36198
|
| 277 |
+
- type: recall_at_10
|
| 278 |
+
value: 0.66465
|
| 279 |
+
- type: recall_at_100
|
| 280 |
+
value: 0.83632
|
| 281 |
+
- type: recall_at_1000
|
| 282 |
+
value: 0.93276
|
| 283 |
+
- type: recall_at_3
|
| 284 |
+
value: 0.53207
|
| 285 |
+
- type: recall_at_5
|
| 286 |
+
value: 0.59169
|
| 287 |
+
- task:
|
| 288 |
+
type: Retrieval
|
| 289 |
+
dataset:
|
| 290 |
+
name: MTEB CQADupstackGamingRetrieval
|
| 291 |
+
type: mteb/cqadupstack-gaming
|
| 292 |
+
config: default
|
| 293 |
+
split: test
|
| 294 |
+
metrics:
|
| 295 |
+
- type: map_at_1
|
| 296 |
+
value: 0.44157
|
| 297 |
+
- type: map_at_10
|
| 298 |
+
value: 0.57753
|
| 299 |
+
- type: map_at_100
|
| 300 |
+
value: 0.58698
|
| 301 |
+
- type: map_at_1000
|
| 302 |
+
value: 0.5874
|
| 303 |
+
- type: map_at_3
|
| 304 |
+
value: 0.54223
|
| 305 |
+
- type: map_at_5
|
| 306 |
+
value: 0.56307
|
| 307 |
+
- type: mrr_at_1
|
| 308 |
+
value: 0.50094
|
| 309 |
+
- type: mrr_at_10
|
| 310 |
+
value: 0.607
|
| 311 |
+
- type: mrr_at_100
|
| 312 |
+
value: 0.6126
|
| 313 |
+
- type: mrr_at_1000
|
| 314 |
+
value: 0.6128
|
| 315 |
+
- type: mrr_at_3
|
| 316 |
+
value: 0.58265
|
| 317 |
+
- type: mrr_at_5
|
| 318 |
+
value: 0.59817
|
| 319 |
+
- type: ndcg_at_1
|
| 320 |
+
value: 0.50094
|
| 321 |
+
- type: ndcg_at_10
|
| 322 |
+
value: 0.63641
|
| 323 |
+
- type: ndcg_at_100
|
| 324 |
+
value: 0.67055
|
| 325 |
+
- type: ndcg_at_1000
|
| 326 |
+
value: 0.67855
|
| 327 |
+
- type: ndcg_at_3
|
| 328 |
+
value: 0.58022
|
| 329 |
+
- type: ndcg_at_5
|
| 330 |
+
value: 0.6097
|
| 331 |
+
- type: precision_at_1
|
| 332 |
+
value: 0.50094
|
| 333 |
+
- type: precision_at_10
|
| 334 |
+
value: 0.10182
|
| 335 |
+
- type: precision_at_100
|
| 336 |
+
value: 0.01278
|
| 337 |
+
- type: precision_at_1000
|
| 338 |
+
value: 0.00138
|
| 339 |
+
- type: precision_at_3
|
| 340 |
+
value: 0.2581
|
| 341 |
+
- type: precision_at_5
|
| 342 |
+
value: 0.17755
|
| 343 |
+
- type: recall_at_1
|
| 344 |
+
value: 0.44157
|
| 345 |
+
- type: recall_at_10
|
| 346 |
+
value: 0.7778
|
| 347 |
+
- type: recall_at_100
|
| 348 |
+
value: 0.92244
|
| 349 |
+
- type: recall_at_1000
|
| 350 |
+
value: 0.9781
|
| 351 |
+
- type: recall_at_3
|
| 352 |
+
value: 0.63087
|
| 353 |
+
- type: recall_at_5
|
| 354 |
+
value: 0.70172
|
| 355 |
+
- task:
|
| 356 |
+
type: Retrieval
|
| 357 |
+
dataset:
|
| 358 |
+
name: MTEB CQADupstackGisRetrieval
|
| 359 |
+
type: mteb/cqadupstack-gis
|
| 360 |
+
config: default
|
| 361 |
+
split: test
|
| 362 |
+
metrics:
|
| 363 |
+
- type: map_at_1
|
| 364 |
+
value: 0.29532
|
| 365 |
+
- type: map_at_10
|
| 366 |
+
value: 0.40214
|
| 367 |
+
- type: map_at_100
|
| 368 |
+
value: 0.41289
|
| 369 |
+
- type: map_at_1000
|
| 370 |
+
value: 0.41359
|
| 371 |
+
- type: map_at_3
|
| 372 |
+
value: 0.37086
|
| 373 |
+
- type: map_at_5
|
| 374 |
+
value: 0.38889
|
| 375 |
+
- type: mrr_at_1
|
| 376 |
+
value: 0.3209
|
| 377 |
+
- type: mrr_at_10
|
| 378 |
+
value: 0.42423
|
| 379 |
+
- type: mrr_at_100
|
| 380 |
+
value: 0.43342
|
| 381 |
+
- type: mrr_at_1000
|
| 382 |
+
value: 0.43395
|
| 383 |
+
- type: mrr_at_3
|
| 384 |
+
value: 0.39736
|
| 385 |
+
- type: mrr_at_5
|
| 386 |
+
value: 0.41307
|
| 387 |
+
- type: ndcg_at_1
|
| 388 |
+
value: 0.3209
|
| 389 |
+
- type: ndcg_at_10
|
| 390 |
+
value: 0.46075
|
| 391 |
+
- type: ndcg_at_100
|
| 392 |
+
value: 0.5103
|
| 393 |
+
- type: ndcg_at_1000
|
| 394 |
+
value: 0.52668
|
| 395 |
+
- type: ndcg_at_3
|
| 396 |
+
value: 0.40149
|
| 397 |
+
- type: ndcg_at_5
|
| 398 |
+
value: 0.43111
|
| 399 |
+
- type: precision_at_1
|
| 400 |
+
value: 0.3209
|
| 401 |
+
- type: precision_at_10
|
| 402 |
+
value: 0.07141
|
| 403 |
+
- type: precision_at_100
|
| 404 |
+
value: 0.01018
|
| 405 |
+
- type: precision_at_1000
|
| 406 |
+
value: 0.00118
|
| 407 |
+
- type: precision_at_3
|
| 408 |
+
value: 0.17175
|
| 409 |
+
- type: precision_at_5
|
| 410 |
+
value: 0.12068
|
| 411 |
+
- type: recall_at_1
|
| 412 |
+
value: 0.29532
|
| 413 |
+
- type: recall_at_10
|
| 414 |
+
value: 0.62025
|
| 415 |
+
- type: recall_at_100
|
| 416 |
+
value: 0.83829
|
| 417 |
+
- type: recall_at_1000
|
| 418 |
+
value: 0.95995
|
| 419 |
+
- type: recall_at_3
|
| 420 |
+
value: 0.4603
|
| 421 |
+
- type: recall_at_5
|
| 422 |
+
value: 0.53089
|
| 423 |
+
- task:
|
| 424 |
+
type: Retrieval
|
| 425 |
+
dataset:
|
| 426 |
+
name: MTEB CQADupstackMathematicaRetrieval
|
| 427 |
+
type: mteb/cqadupstack-mathematica
|
| 428 |
+
config: default
|
| 429 |
+
split: test
|
| 430 |
+
metrics:
|
| 431 |
+
- type: map_at_1
|
| 432 |
+
value: 0.18944
|
| 433 |
+
- type: map_at_10
|
| 434 |
+
value: 0.29611
|
| 435 |
+
- type: map_at_100
|
| 436 |
+
value: 0.31063
|
| 437 |
+
- type: map_at_1000
|
| 438 |
+
value: 0.31174
|
| 439 |
+
- type: map_at_3
|
| 440 |
+
value: 0.26098
|
| 441 |
+
- type: map_at_5
|
| 442 |
+
value: 0.28151
|
| 443 |
+
- type: mrr_at_1
|
| 444 |
+
value: 0.23756
|
| 445 |
+
- type: mrr_at_10
|
| 446 |
+
value: 0.34491
|
| 447 |
+
- type: mrr_at_100
|
| 448 |
+
value: 0.35457
|
| 449 |
+
- type: mrr_at_1000
|
| 450 |
+
value: 0.35512
|
| 451 |
+
- type: mrr_at_3
|
| 452 |
+
value: 0.3126
|
| 453 |
+
- type: mrr_at_5
|
| 454 |
+
value: 0.3317
|
| 455 |
+
- type: ndcg_at_1
|
| 456 |
+
value: 0.23756
|
| 457 |
+
- type: ndcg_at_10
|
| 458 |
+
value: 0.36015
|
| 459 |
+
- type: ndcg_at_100
|
| 460 |
+
value: 0.42175
|
| 461 |
+
- type: ndcg_at_1000
|
| 462 |
+
value: 0.44607
|
| 463 |
+
- type: ndcg_at_3
|
| 464 |
+
value: 0.29725
|
| 465 |
+
- type: ndcg_at_5
|
| 466 |
+
value: 0.32879
|
| 467 |
+
- type: precision_at_1
|
| 468 |
+
value: 0.23756
|
| 469 |
+
- type: precision_at_10
|
| 470 |
+
value: 0.06928
|
| 471 |
+
- type: precision_at_100
|
| 472 |
+
value: 0.01153
|
| 473 |
+
- type: precision_at_1000
|
| 474 |
+
value: 0.00149
|
| 475 |
+
- type: precision_at_3
|
| 476 |
+
value: 0.14635
|
| 477 |
+
- type: precision_at_5
|
| 478 |
+
value: 0.1107
|
| 479 |
+
- type: recall_at_1
|
| 480 |
+
value: 0.18944
|
| 481 |
+
- type: recall_at_10
|
| 482 |
+
value: 0.50691
|
| 483 |
+
- type: recall_at_100
|
| 484 |
+
value: 0.76503
|
| 485 |
+
- type: recall_at_1000
|
| 486 |
+
value: 0.93624
|
| 487 |
+
- type: recall_at_3
|
| 488 |
+
value: 0.33611
|
| 489 |
+
- type: recall_at_5
|
| 490 |
+
value: 0.41427
|
| 491 |
+
- task:
|
| 492 |
+
type: Retrieval
|
| 493 |
+
dataset:
|
| 494 |
+
name: MTEB CQADupstackPhysicsRetrieval
|
| 495 |
+
type: mteb/cqadupstack-physics
|
| 496 |
+
config: default
|
| 497 |
+
split: test
|
| 498 |
+
metrics:
|
| 499 |
+
- type: map_at_1
|
| 500 |
+
value: 0.33824
|
| 501 |
+
- type: map_at_10
|
| 502 |
+
value: 0.46868
|
| 503 |
+
- type: map_at_100
|
| 504 |
+
value: 0.48306
|
| 505 |
+
- type: map_at_1000
|
| 506 |
+
value: 0.48406
|
| 507 |
+
- type: map_at_3
|
| 508 |
+
value: 0.43335
|
| 509 |
+
- type: map_at_5
|
| 510 |
+
value: 0.45279
|
| 511 |
+
- type: mrr_at_1
|
| 512 |
+
value: 0.42348
|
| 513 |
+
- type: mrr_at_10
|
| 514 |
+
value: 0.52972
|
| 515 |
+
- type: mrr_at_100
|
| 516 |
+
value: 0.53707
|
| 517 |
+
- type: mrr_at_1000
|
| 518 |
+
value: 0.53734
|
| 519 |
+
- type: mrr_at_3
|
| 520 |
+
value: 0.50722
|
| 521 |
+
- type: mrr_at_5
|
| 522 |
+
value: 0.52012
|
| 523 |
+
- type: ndcg_at_1
|
| 524 |
+
value: 0.42348
|
| 525 |
+
- type: ndcg_at_10
|
| 526 |
+
value: 0.53504
|
| 527 |
+
- type: ndcg_at_100
|
| 528 |
+
value: 0.58899
|
| 529 |
+
- type: ndcg_at_1000
|
| 530 |
+
value: 0.60323
|
| 531 |
+
- type: ndcg_at_3
|
| 532 |
+
value: 0.48478
|
| 533 |
+
- type: ndcg_at_5
|
| 534 |
+
value: 0.5079
|
| 535 |
+
- type: precision_at_1
|
| 536 |
+
value: 0.42348
|
| 537 |
+
- type: precision_at_10
|
| 538 |
+
value: 0.0975
|
| 539 |
+
- type: precision_at_100
|
| 540 |
+
value: 0.01466
|
| 541 |
+
- type: precision_at_1000
|
| 542 |
+
value: 0.00177
|
| 543 |
+
- type: precision_at_3
|
| 544 |
+
value: 0.23741
|
| 545 |
+
- type: precision_at_5
|
| 546 |
+
value: 0.16439
|
| 547 |
+
- type: recall_at_1
|
| 548 |
+
value: 0.33824
|
| 549 |
+
- type: recall_at_10
|
| 550 |
+
value: 0.67142
|
| 551 |
+
- type: recall_at_100
|
| 552 |
+
value: 0.89134
|
| 553 |
+
- type: recall_at_1000
|
| 554 |
+
value: 0.97816
|
| 555 |
+
- type: recall_at_3
|
| 556 |
+
value: 0.52305
|
| 557 |
+
- type: recall_at_5
|
| 558 |
+
value: 0.58804
|
| 559 |
+
- task:
|
| 560 |
+
type: Retrieval
|
| 561 |
+
dataset:
|
| 562 |
+
name: MTEB CQADupstackProgrammersRetrieval
|
| 563 |
+
type: mteb/cqadupstack-programmers
|
| 564 |
+
config: default
|
| 565 |
+
split: test
|
| 566 |
+
metrics:
|
| 567 |
+
- type: map_at_1
|
| 568 |
+
value: 0.30125
|
| 569 |
+
- type: map_at_10
|
| 570 |
+
value: 0.42119
|
| 571 |
+
- type: map_at_100
|
| 572 |
+
value: 0.43599
|
| 573 |
+
- type: map_at_1000
|
| 574 |
+
value: 0.4369
|
| 575 |
+
- type: map_at_3
|
| 576 |
+
value: 0.38018
|
| 577 |
+
- type: map_at_5
|
| 578 |
+
value: 0.40368
|
| 579 |
+
- type: mrr_at_1
|
| 580 |
+
value: 0.37557
|
| 581 |
+
- type: mrr_at_10
|
| 582 |
+
value: 0.47573
|
| 583 |
+
- type: mrr_at_100
|
| 584 |
+
value: 0.4846
|
| 585 |
+
- type: mrr_at_1000
|
| 586 |
+
value: 0.48499
|
| 587 |
+
- type: mrr_at_3
|
| 588 |
+
value: 0.44654
|
| 589 |
+
- type: mrr_at_5
|
| 590 |
+
value: 0.4644
|
| 591 |
+
- type: ndcg_at_1
|
| 592 |
+
value: 0.37557
|
| 593 |
+
- type: ndcg_at_10
|
| 594 |
+
value: 0.48743
|
| 595 |
+
- type: ndcg_at_100
|
| 596 |
+
value: 0.54458
|
| 597 |
+
- type: ndcg_at_1000
|
| 598 |
+
value: 0.56076
|
| 599 |
+
- type: ndcg_at_3
|
| 600 |
+
value: 0.42573
|
| 601 |
+
- type: ndcg_at_5
|
| 602 |
+
value: 0.45528
|
| 603 |
+
- type: precision_at_1
|
| 604 |
+
value: 0.37557
|
| 605 |
+
- type: precision_at_10
|
| 606 |
+
value: 0.09269
|
| 607 |
+
- type: precision_at_100
|
| 608 |
+
value: 0.01401
|
| 609 |
+
- type: precision_at_1000
|
| 610 |
+
value: 0.0017
|
| 611 |
+
- type: precision_at_3
|
| 612 |
+
value: 0.20624
|
| 613 |
+
- type: precision_at_5
|
| 614 |
+
value: 0.15068
|
| 615 |
+
- type: recall_at_1
|
| 616 |
+
value: 0.30125
|
| 617 |
+
- type: recall_at_10
|
| 618 |
+
value: 0.62619
|
| 619 |
+
- type: recall_at_100
|
| 620 |
+
value: 0.86574
|
| 621 |
+
- type: recall_at_1000
|
| 622 |
+
value: 0.97102
|
| 623 |
+
- type: recall_at_3
|
| 624 |
+
value: 0.45437
|
| 625 |
+
- type: recall_at_5
|
| 626 |
+
value: 0.53197
|
| 627 |
+
- task:
|
| 628 |
+
type: Retrieval
|
| 629 |
+
dataset:
|
| 630 |
+
name: MTEB CQADupstackStatsRetrieval
|
| 631 |
+
type: mteb/cqadupstack-stats
|
| 632 |
+
config: default
|
| 633 |
+
split: test
|
| 634 |
+
metrics:
|
| 635 |
+
- type: map_at_1
|
| 636 |
+
value: 0.29193
|
| 637 |
+
- type: map_at_10
|
| 638 |
+
value: 0.37529
|
| 639 |
+
- type: map_at_100
|
| 640 |
+
value: 0.38614
|
| 641 |
+
- type: map_at_1000
|
| 642 |
+
value: 0.38714
|
| 643 |
+
- type: map_at_3
|
| 644 |
+
value: 0.34897
|
| 645 |
+
- type: map_at_5
|
| 646 |
+
value: 0.36273
|
| 647 |
+
- type: mrr_at_1
|
| 648 |
+
value: 0.32669
|
| 649 |
+
- type: mrr_at_10
|
| 650 |
+
value: 0.40288
|
| 651 |
+
- type: mrr_at_100
|
| 652 |
+
value: 0.41177
|
| 653 |
+
- type: mrr_at_1000
|
| 654 |
+
value: 0.41241
|
| 655 |
+
- type: mrr_at_3
|
| 656 |
+
value: 0.38037
|
| 657 |
+
- type: mrr_at_5
|
| 658 |
+
value: 0.39195
|
| 659 |
+
- type: ndcg_at_1
|
| 660 |
+
value: 0.32669
|
| 661 |
+
- type: ndcg_at_10
|
| 662 |
+
value: 0.42353
|
| 663 |
+
- type: ndcg_at_100
|
| 664 |
+
value: 0.47424
|
| 665 |
+
- type: ndcg_at_1000
|
| 666 |
+
value: 0.4959
|
| 667 |
+
- type: ndcg_at_3
|
| 668 |
+
value: 0.37604
|
| 669 |
+
- type: ndcg_at_5
|
| 670 |
+
value: 0.39682
|
| 671 |
+
- type: precision_at_1
|
| 672 |
+
value: 0.32669
|
| 673 |
+
- type: precision_at_10
|
| 674 |
+
value: 0.06871
|
| 675 |
+
- type: precision_at_100
|
| 676 |
+
value: 0.01008
|
| 677 |
+
- type: precision_at_1000
|
| 678 |
+
value: 0.00126
|
| 679 |
+
- type: precision_at_3
|
| 680 |
+
value: 0.16309
|
| 681 |
+
- type: precision_at_5
|
| 682 |
+
value: 0.11288
|
| 683 |
+
- type: recall_at_1
|
| 684 |
+
value: 0.29193
|
| 685 |
+
- type: recall_at_10
|
| 686 |
+
value: 0.54159
|
| 687 |
+
- type: recall_at_100
|
| 688 |
+
value: 0.77267
|
| 689 |
+
- type: recall_at_1000
|
| 690 |
+
value: 0.92805
|
| 691 |
+
- type: recall_at_3
|
| 692 |
+
value: 0.41014
|
| 693 |
+
- type: recall_at_5
|
| 694 |
+
value: 0.46248
|
| 695 |
+
- task:
|
| 696 |
+
type: Retrieval
|
| 697 |
+
dataset:
|
| 698 |
+
name: MTEB CQADupstackTexRetrieval
|
| 699 |
+
type: mteb/cqadupstack-tex
|
| 700 |
+
config: default
|
| 701 |
+
split: test
|
| 702 |
+
metrics:
|
| 703 |
+
- type: map_at_1
|
| 704 |
+
value: 0.21217
|
| 705 |
+
- type: map_at_10
|
| 706 |
+
value: 0.30848
|
| 707 |
+
- type: map_at_100
|
| 708 |
+
value: 0.32173
|
| 709 |
+
- type: map_at_1000
|
| 710 |
+
value: 0.32296
|
| 711 |
+
- type: map_at_3
|
| 712 |
+
value: 0.27882
|
| 713 |
+
- type: map_at_5
|
| 714 |
+
value: 0.29537
|
| 715 |
+
- type: mrr_at_1
|
| 716 |
+
value: 0.25946
|
| 717 |
+
- type: mrr_at_10
|
| 718 |
+
value: 0.35091
|
| 719 |
+
- type: mrr_at_100
|
| 720 |
+
value: 0.36047
|
| 721 |
+
- type: mrr_at_1000
|
| 722 |
+
value: 0.36111
|
| 723 |
+
- type: mrr_at_3
|
| 724 |
+
value: 0.32485
|
| 725 |
+
- type: mrr_at_5
|
| 726 |
+
value: 0.33964
|
| 727 |
+
- type: ndcg_at_1
|
| 728 |
+
value: 0.25946
|
| 729 |
+
- type: ndcg_at_10
|
| 730 |
+
value: 0.3655
|
| 731 |
+
- type: ndcg_at_100
|
| 732 |
+
value: 0.42328
|
| 733 |
+
- type: ndcg_at_1000
|
| 734 |
+
value: 0.44783
|
| 735 |
+
- type: ndcg_at_3
|
| 736 |
+
value: 0.31463
|
| 737 |
+
- type: ndcg_at_5
|
| 738 |
+
value: 0.33803
|
| 739 |
+
- type: precision_at_1
|
| 740 |
+
value: 0.25946
|
| 741 |
+
- type: precision_at_10
|
| 742 |
+
value: 0.06793
|
| 743 |
+
- type: precision_at_100
|
| 744 |
+
value: 0.01138
|
| 745 |
+
- type: precision_at_1000
|
| 746 |
+
value: 0.00155
|
| 747 |
+
- type: precision_at_3
|
| 748 |
+
value: 0.1513
|
| 749 |
+
- type: precision_at_5
|
| 750 |
+
value: 0.10991
|
| 751 |
+
- type: recall_at_1
|
| 752 |
+
value: 0.21217
|
| 753 |
+
- type: recall_at_10
|
| 754 |
+
value: 0.49327
|
| 755 |
+
- type: recall_at_100
|
| 756 |
+
value: 0.7472
|
| 757 |
+
- type: recall_at_1000
|
| 758 |
+
value: 0.91637
|
| 759 |
+
- type: recall_at_3
|
| 760 |
+
value: 0.34993
|
| 761 |
+
- type: recall_at_5
|
| 762 |
+
value: 0.41029
|
| 763 |
+
- task:
|
| 764 |
+
type: Retrieval
|
| 765 |
+
dataset:
|
| 766 |
+
name: MTEB CQADupstackUnixRetrieval
|
| 767 |
+
type: mteb/cqadupstack-unix
|
| 768 |
+
config: default
|
| 769 |
+
split: test
|
| 770 |
+
metrics:
|
| 771 |
+
- type: map_at_1
|
| 772 |
+
value: 0.34303
|
| 773 |
+
- type: map_at_10
|
| 774 |
+
value: 0.45312
|
| 775 |
+
- type: map_at_100
|
| 776 |
+
value: 0.46563
|
| 777 |
+
- type: map_at_1000
|
| 778 |
+
value: 0.4664
|
| 779 |
+
- type: map_at_3
|
| 780 |
+
value: 0.4143
|
| 781 |
+
- type: map_at_5
|
| 782 |
+
value: 0.43633
|
| 783 |
+
- type: mrr_at_1
|
| 784 |
+
value: 0.40112
|
| 785 |
+
- type: mrr_at_10
|
| 786 |
+
value: 0.49097
|
| 787 |
+
- type: mrr_at_100
|
| 788 |
+
value: 0.49966
|
| 789 |
+
- type: mrr_at_1000
|
| 790 |
+
value: 0.50006
|
| 791 |
+
- type: mrr_at_3
|
| 792 |
+
value: 0.46129
|
| 793 |
+
- type: mrr_at_5
|
| 794 |
+
value: 0.47901
|
| 795 |
+
- type: ndcg_at_1
|
| 796 |
+
value: 0.40112
|
| 797 |
+
- type: ndcg_at_10
|
| 798 |
+
value: 0.513
|
| 799 |
+
- type: ndcg_at_100
|
| 800 |
+
value: 0.56534
|
| 801 |
+
- type: ndcg_at_1000
|
| 802 |
+
value: 0.58048
|
| 803 |
+
- type: ndcg_at_3
|
| 804 |
+
value: 0.4491
|
| 805 |
+
- type: ndcg_at_5
|
| 806 |
+
value: 0.48048
|
| 807 |
+
- type: precision_at_1
|
| 808 |
+
value: 0.40112
|
| 809 |
+
- type: precision_at_10
|
| 810 |
+
value: 0.08806
|
| 811 |
+
- type: precision_at_100
|
| 812 |
+
value: 0.01266
|
| 813 |
+
- type: precision_at_1000
|
| 814 |
+
value: 0.00149
|
| 815 |
+
- type: precision_at_3
|
| 816 |
+
value: 0.20211
|
| 817 |
+
- type: precision_at_5
|
| 818 |
+
value: 0.14496
|
| 819 |
+
- type: recall_at_1
|
| 820 |
+
value: 0.34303
|
| 821 |
+
- type: recall_at_10
|
| 822 |
+
value: 0.65508
|
| 823 |
+
- type: recall_at_100
|
| 824 |
+
value: 0.8753
|
| 825 |
+
- type: recall_at_1000
|
| 826 |
+
value: 0.9742
|
| 827 |
+
- type: recall_at_3
|
| 828 |
+
value: 0.48465
|
| 829 |
+
- type: recall_at_5
|
| 830 |
+
value: 0.56374
|
| 831 |
+
- task:
|
| 832 |
+
type: Retrieval
|
| 833 |
+
dataset:
|
| 834 |
+
name: MTEB CQADupstackWebmastersRetrieval
|
| 835 |
+
type: mteb/cqadupstack-webmasters
|
| 836 |
+
config: default
|
| 837 |
+
split: test
|
| 838 |
+
metrics:
|
| 839 |
+
- type: map_at_1
|
| 840 |
+
value: 0.30312
|
| 841 |
+
- type: map_at_10
|
| 842 |
+
value: 0.40931
|
| 843 |
+
- type: map_at_100
|
| 844 |
+
value: 0.42893
|
| 845 |
+
- type: map_at_1000
|
| 846 |
+
value: 0.4312
|
| 847 |
+
- type: map_at_3
|
| 848 |
+
value: 0.37527
|
| 849 |
+
- type: map_at_5
|
| 850 |
+
value: 0.3936
|
| 851 |
+
- type: mrr_at_1
|
| 852 |
+
value: 0.36364
|
| 853 |
+
- type: mrr_at_10
|
| 854 |
+
value: 0.45677
|
| 855 |
+
- type: mrr_at_100
|
| 856 |
+
value: 0.46753
|
| 857 |
+
- type: mrr_at_1000
|
| 858 |
+
value: 0.46787
|
| 859 |
+
- type: mrr_at_3
|
| 860 |
+
value: 0.42918
|
| 861 |
+
- type: mrr_at_5
|
| 862 |
+
value: 0.4443
|
| 863 |
+
- type: ndcg_at_1
|
| 864 |
+
value: 0.36364
|
| 865 |
+
- type: ndcg_at_10
|
| 866 |
+
value: 0.47301
|
| 867 |
+
- type: ndcg_at_100
|
| 868 |
+
value: 0.53698
|
| 869 |
+
- type: ndcg_at_1000
|
| 870 |
+
value: 0.55503
|
| 871 |
+
- type: ndcg_at_3
|
| 872 |
+
value: 0.41875
|
| 873 |
+
- type: ndcg_at_5
|
| 874 |
+
value: 0.44316
|
| 875 |
+
- type: precision_at_1
|
| 876 |
+
value: 0.36364
|
| 877 |
+
- type: precision_at_10
|
| 878 |
+
value: 0.09032
|
| 879 |
+
- type: precision_at_100
|
| 880 |
+
value: 0.01806
|
| 881 |
+
- type: precision_at_1000
|
| 882 |
+
value: 0.00258
|
| 883 |
+
- type: precision_at_3
|
| 884 |
+
value: 0.19499
|
| 885 |
+
- type: precision_at_5
|
| 886 |
+
value: 0.1415
|
| 887 |
+
- type: recall_at_1
|
| 888 |
+
value: 0.30312
|
| 889 |
+
- type: recall_at_10
|
| 890 |
+
value: 0.59418
|
| 891 |
+
- type: recall_at_100
|
| 892 |
+
value: 0.8656
|
| 893 |
+
- type: recall_at_1000
|
| 894 |
+
value: 0.97412
|
| 895 |
+
- type: recall_at_3
|
| 896 |
+
value: 0.44251
|
| 897 |
+
- type: recall_at_5
|
| 898 |
+
value: 0.50457
|
| 899 |
+
- task:
|
| 900 |
+
type: Retrieval
|
| 901 |
+
dataset:
|
| 902 |
+
name: MTEB CQADupstackWordpressRetrieval
|
| 903 |
+
type: mteb/cqadupstack-wordpress
|
| 904 |
+
config: default
|
| 905 |
+
split: test
|
| 906 |
+
metrics:
|
| 907 |
+
- type: map_at_1
|
| 908 |
+
value: 0.23851
|
| 909 |
+
- type: map_at_10
|
| 910 |
+
value: 0.33429
|
| 911 |
+
- type: map_at_100
|
| 912 |
+
value: 0.34482
|
| 913 |
+
- type: map_at_1000
|
| 914 |
+
value: 0.3457
|
| 915 |
+
- type: map_at_3
|
| 916 |
+
value: 0.30271
|
| 917 |
+
- type: map_at_5
|
| 918 |
+
value: 0.31905
|
| 919 |
+
- type: mrr_at_1
|
| 920 |
+
value: 0.25693
|
| 921 |
+
- type: mrr_at_10
|
| 922 |
+
value: 0.35383
|
| 923 |
+
- type: mrr_at_100
|
| 924 |
+
value: 0.36295
|
| 925 |
+
- type: mrr_at_1000
|
| 926 |
+
value: 0.36346
|
| 927 |
+
- type: mrr_at_3
|
| 928 |
+
value: 0.32532
|
| 929 |
+
- type: mrr_at_5
|
| 930 |
+
value: 0.3402
|
| 931 |
+
- type: ndcg_at_1
|
| 932 |
+
value: 0.25693
|
| 933 |
+
- type: ndcg_at_10
|
| 934 |
+
value: 0.39196
|
| 935 |
+
- type: ndcg_at_100
|
| 936 |
+
value: 0.44501
|
| 937 |
+
- type: ndcg_at_1000
|
| 938 |
+
value: 0.46482
|
| 939 |
+
- type: ndcg_at_3
|
| 940 |
+
value: 0.33
|
| 941 |
+
- type: ndcg_at_5
|
| 942 |
+
value: 0.35736
|
| 943 |
+
- type: precision_at_1
|
| 944 |
+
value: 0.25693
|
| 945 |
+
- type: precision_at_10
|
| 946 |
+
value: 0.06433
|
| 947 |
+
- type: precision_at_100
|
| 948 |
+
value: 0.00989
|
| 949 |
+
- type: precision_at_1000
|
| 950 |
+
value: 0.00128
|
| 951 |
+
- type: precision_at_3
|
| 952 |
+
value: 0.14295
|
| 953 |
+
- type: precision_at_5
|
| 954 |
+
value: 0.10277
|
| 955 |
+
- type: recall_at_1
|
| 956 |
+
value: 0.23851
|
| 957 |
+
- type: recall_at_10
|
| 958 |
+
value: 0.55036
|
| 959 |
+
- type: recall_at_100
|
| 960 |
+
value: 0.79592
|
| 961 |
+
- type: recall_at_1000
|
| 962 |
+
value: 0.94283
|
| 963 |
+
- type: recall_at_3
|
| 964 |
+
value: 0.38435
|
| 965 |
+
- type: recall_at_5
|
| 966 |
+
value: 0.44872
|
| 967 |
+
- task:
|
| 968 |
+
type: Retrieval
|
| 969 |
+
dataset:
|
| 970 |
+
name: MTEB DBPedia
|
| 971 |
+
type: mteb/dbpedia
|
| 972 |
+
config: default
|
| 973 |
+
split: test
|
| 974 |
+
metrics:
|
| 975 |
+
- type: map_at_1
|
| 976 |
+
value: 0.0871
|
| 977 |
+
- type: map_at_10
|
| 978 |
+
value: 0.19218
|
| 979 |
+
- type: map_at_100
|
| 980 |
+
value: 0.26291
|
| 981 |
+
- type: map_at_1000
|
| 982 |
+
value: 0.27985
|
| 983 |
+
- type: map_at_3
|
| 984 |
+
value: 0.13974
|
| 985 |
+
- type: map_at_5
|
| 986 |
+
value: 0.16104
|
| 987 |
+
- type: mrr_at_1
|
| 988 |
+
value: 0.6725
|
| 989 |
+
- type: mrr_at_10
|
| 990 |
+
value: 0.75037
|
| 991 |
+
- type: mrr_at_100
|
| 992 |
+
value: 0.75318
|
| 993 |
+
- type: mrr_at_1000
|
| 994 |
+
value: 0.75325
|
| 995 |
+
- type: mrr_at_3
|
| 996 |
+
value: 0.73833
|
| 997 |
+
- type: mrr_at_5
|
| 998 |
+
value: 0.74308
|
| 999 |
+
- type: ndcg_at_1
|
| 1000 |
+
value: 0.54375
|
| 1001 |
+
- type: ndcg_at_10
|
| 1002 |
+
value: 0.39409
|
| 1003 |
+
- type: ndcg_at_100
|
| 1004 |
+
value: 0.44382
|
| 1005 |
+
- type: ndcg_at_1000
|
| 1006 |
+
value: 0.52485
|
| 1007 |
+
- type: ndcg_at_3
|
| 1008 |
+
value: 0.44463
|
| 1009 |
+
- type: ndcg_at_5
|
| 1010 |
+
value: 0.41276
|
| 1011 |
+
- type: precision_at_1
|
| 1012 |
+
value: 0.6725
|
| 1013 |
+
- type: precision_at_10
|
| 1014 |
+
value: 0.3055
|
| 1015 |
+
- type: precision_at_100
|
| 1016 |
+
value: 0.09588
|
| 1017 |
+
- type: precision_at_1000
|
| 1018 |
+
value: 0.02118
|
| 1019 |
+
- type: precision_at_3
|
| 1020 |
+
value: 0.48167
|
| 1021 |
+
- type: precision_at_5
|
| 1022 |
+
value: 0.394
|
| 1023 |
+
- type: recall_at_1
|
| 1024 |
+
value: 0.0871
|
| 1025 |
+
- type: recall_at_10
|
| 1026 |
+
value: 0.2527
|
| 1027 |
+
- type: recall_at_100
|
| 1028 |
+
value: 0.5185
|
| 1029 |
+
- type: recall_at_1000
|
| 1030 |
+
value: 0.76491
|
| 1031 |
+
- type: recall_at_3
|
| 1032 |
+
value: 0.15516
|
| 1033 |
+
- type: recall_at_5
|
| 1034 |
+
value: 0.18907
|
| 1035 |
+
- task:
|
| 1036 |
+
type: Retrieval
|
| 1037 |
+
dataset:
|
| 1038 |
+
name: MTEB FEVER
|
| 1039 |
+
type: mteb/fever
|
| 1040 |
+
config: default
|
| 1041 |
+
split: test
|
| 1042 |
+
metrics:
|
| 1043 |
+
- type: map_at_1
|
| 1044 |
+
value: 0.78993
|
| 1045 |
+
- type: map_at_10
|
| 1046 |
+
value: 0.8502
|
| 1047 |
+
- type: map_at_100
|
| 1048 |
+
value: 0.85186
|
| 1049 |
+
- type: map_at_1000
|
| 1050 |
+
value: 0.852
|
| 1051 |
+
- type: map_at_3
|
| 1052 |
+
value: 0.8437
|
| 1053 |
+
- type: map_at_5
|
| 1054 |
+
value: 0.84812
|
| 1055 |
+
- type: mrr_at_1
|
| 1056 |
+
value: 0.85179
|
| 1057 |
+
- type: mrr_at_10
|
| 1058 |
+
value: 0.90744
|
| 1059 |
+
- type: mrr_at_100
|
| 1060 |
+
value: 0.90799
|
| 1061 |
+
- type: mrr_at_1000
|
| 1062 |
+
value: 0.90801
|
| 1063 |
+
- type: mrr_at_3
|
| 1064 |
+
value: 0.90322
|
| 1065 |
+
- type: mrr_at_5
|
| 1066 |
+
value: 0.90622
|
| 1067 |
+
- type: ndcg_at_1
|
| 1068 |
+
value: 0.85179
|
| 1069 |
+
- type: ndcg_at_10
|
| 1070 |
+
value: 0.88229
|
| 1071 |
+
- type: ndcg_at_100
|
| 1072 |
+
value: 0.8884
|
| 1073 |
+
- type: ndcg_at_1000
|
| 1074 |
+
value: 0.89116
|
| 1075 |
+
- type: ndcg_at_3
|
| 1076 |
+
value: 0.87304
|
| 1077 |
+
- type: ndcg_at_5
|
| 1078 |
+
value: 0.87862
|
| 1079 |
+
- type: precision_at_1
|
| 1080 |
+
value: 0.85179
|
| 1081 |
+
- type: precision_at_10
|
| 1082 |
+
value: 0.10129
|
| 1083 |
+
- type: precision_at_100
|
| 1084 |
+
value: 0.0106
|
| 1085 |
+
- type: precision_at_1000
|
| 1086 |
+
value: 0.0011
|
| 1087 |
+
- type: precision_at_3
|
| 1088 |
+
value: 0.32543
|
| 1089 |
+
- type: precision_at_5
|
| 1090 |
+
value: 0.19931
|
| 1091 |
+
- type: recall_at_1
|
| 1092 |
+
value: 0.78993
|
| 1093 |
+
- type: recall_at_10
|
| 1094 |
+
value: 0.92685
|
| 1095 |
+
- type: recall_at_100
|
| 1096 |
+
value: 0.9516
|
| 1097 |
+
- type: recall_at_1000
|
| 1098 |
+
value: 0.96943
|
| 1099 |
+
- type: recall_at_3
|
| 1100 |
+
value: 0.89965
|
| 1101 |
+
- type: recall_at_5
|
| 1102 |
+
value: 0.91562
|
| 1103 |
+
- task:
|
| 1104 |
+
type: Retrieval
|
| 1105 |
+
dataset:
|
| 1106 |
+
name: MTEB FiQA2018
|
| 1107 |
+
type: mteb/fiqa
|
| 1108 |
+
config: default
|
| 1109 |
+
split: test
|
| 1110 |
+
metrics:
|
| 1111 |
+
- type: map_at_1
|
| 1112 |
+
value: 0.22586
|
| 1113 |
+
- type: map_at_10
|
| 1114 |
+
value: 0.36836
|
| 1115 |
+
- type: map_at_100
|
| 1116 |
+
value: 0.38863
|
| 1117 |
+
- type: map_at_1000
|
| 1118 |
+
value: 0.39041
|
| 1119 |
+
- type: map_at_3
|
| 1120 |
+
value: 0.32445
|
| 1121 |
+
- type: map_at_5
|
| 1122 |
+
value: 0.34951
|
| 1123 |
+
- type: mrr_at_1
|
| 1124 |
+
value: 0.44599
|
| 1125 |
+
- type: mrr_at_10
|
| 1126 |
+
value: 0.53471
|
| 1127 |
+
- type: mrr_at_100
|
| 1128 |
+
value: 0.54186
|
| 1129 |
+
- type: mrr_at_1000
|
| 1130 |
+
value: 0.54223
|
| 1131 |
+
- type: mrr_at_3
|
| 1132 |
+
value: 0.51157
|
| 1133 |
+
- type: mrr_at_5
|
| 1134 |
+
value: 0.52423
|
| 1135 |
+
- type: ndcg_at_1
|
| 1136 |
+
value: 0.44599
|
| 1137 |
+
- type: ndcg_at_10
|
| 1138 |
+
value: 0.44931
|
| 1139 |
+
- type: ndcg_at_100
|
| 1140 |
+
value: 0.51914
|
| 1141 |
+
- type: ndcg_at_1000
|
| 1142 |
+
value: 0.54674
|
| 1143 |
+
- type: ndcg_at_3
|
| 1144 |
+
value: 0.41597
|
| 1145 |
+
- type: ndcg_at_5
|
| 1146 |
+
value: 0.42611
|
| 1147 |
+
- type: precision_at_1
|
| 1148 |
+
value: 0.44599
|
| 1149 |
+
- type: precision_at_10
|
| 1150 |
+
value: 0.12346
|
| 1151 |
+
- type: precision_at_100
|
| 1152 |
+
value: 0.01951
|
| 1153 |
+
- type: precision_at_1000
|
| 1154 |
+
value: 0.00244
|
| 1155 |
+
- type: precision_at_3
|
| 1156 |
+
value: 0.27623
|
| 1157 |
+
- type: precision_at_5
|
| 1158 |
+
value: 0.20093
|
| 1159 |
+
- type: recall_at_1
|
| 1160 |
+
value: 0.22586
|
| 1161 |
+
- type: recall_at_10
|
| 1162 |
+
value: 0.5152
|
| 1163 |
+
- type: recall_at_100
|
| 1164 |
+
value: 0.77251
|
| 1165 |
+
- type: recall_at_1000
|
| 1166 |
+
value: 0.93503
|
| 1167 |
+
- type: recall_at_3
|
| 1168 |
+
value: 0.37802
|
| 1169 |
+
- type: recall_at_5
|
| 1170 |
+
value: 0.4386
|
| 1171 |
+
- task:
|
| 1172 |
+
type: Retrieval
|
| 1173 |
+
dataset:
|
| 1174 |
+
name: MTEB HotpotQA
|
| 1175 |
+
type: mteb/hotpotqa
|
| 1176 |
+
config: default
|
| 1177 |
+
split: test
|
| 1178 |
+
metrics:
|
| 1179 |
+
- type: map_at_1
|
| 1180 |
+
value: 0.38177
|
| 1181 |
+
- type: map_at_10
|
| 1182 |
+
value: 0.59021
|
| 1183 |
+
- type: map_at_100
|
| 1184 |
+
value: 0.59924
|
| 1185 |
+
- type: map_at_1000
|
| 1186 |
+
value: 0.59989
|
| 1187 |
+
- type: map_at_3
|
| 1188 |
+
value: 0.55553
|
| 1189 |
+
- type: map_at_5
|
| 1190 |
+
value: 0.57773
|
| 1191 |
+
- type: mrr_at_1
|
| 1192 |
+
value: 0.76354
|
| 1193 |
+
- type: mrr_at_10
|
| 1194 |
+
value: 0.827
|
| 1195 |
+
- type: mrr_at_100
|
| 1196 |
+
value: 0.82887
|
| 1197 |
+
- type: mrr_at_1000
|
| 1198 |
+
value: 0.82896
|
| 1199 |
+
- type: mrr_at_3
|
| 1200 |
+
value: 0.8172
|
| 1201 |
+
- type: mrr_at_5
|
| 1202 |
+
value: 0.82338
|
| 1203 |
+
- type: ndcg_at_1
|
| 1204 |
+
value: 0.76354
|
| 1205 |
+
- type: ndcg_at_10
|
| 1206 |
+
value: 0.67775
|
| 1207 |
+
- type: ndcg_at_100
|
| 1208 |
+
value: 0.70849
|
| 1209 |
+
- type: ndcg_at_1000
|
| 1210 |
+
value: 0.7215
|
| 1211 |
+
- type: ndcg_at_3
|
| 1212 |
+
value: 0.629
|
| 1213 |
+
- type: ndcg_at_5
|
| 1214 |
+
value: 0.65679
|
| 1215 |
+
- type: precision_at_1
|
| 1216 |
+
value: 0.76354
|
| 1217 |
+
- type: precision_at_10
|
| 1218 |
+
value: 0.14176
|
| 1219 |
+
- type: precision_at_100
|
| 1220 |
+
value: 0.01656
|
| 1221 |
+
- type: precision_at_1000
|
| 1222 |
+
value: 0.00183
|
| 1223 |
+
- type: precision_at_3
|
| 1224 |
+
value: 0.40113
|
| 1225 |
+
- type: precision_at_5
|
| 1226 |
+
value: 0.26255
|
| 1227 |
+
- type: recall_at_1
|
| 1228 |
+
value: 0.38177
|
| 1229 |
+
- type: recall_at_10
|
| 1230 |
+
value: 0.70878
|
| 1231 |
+
- type: recall_at_100
|
| 1232 |
+
value: 0.82822
|
| 1233 |
+
- type: recall_at_1000
|
| 1234 |
+
value: 0.91472
|
| 1235 |
+
- type: recall_at_3
|
| 1236 |
+
value: 0.60169
|
| 1237 |
+
- type: recall_at_5
|
| 1238 |
+
value: 0.65638
|
| 1239 |
+
- task:
|
| 1240 |
+
type: Retrieval
|
| 1241 |
+
dataset:
|
| 1242 |
+
name: MTEB MSMARCO
|
| 1243 |
+
type: mteb/msmarco
|
| 1244 |
+
config: default
|
| 1245 |
+
split: dev
|
| 1246 |
+
metrics:
|
| 1247 |
+
- type: map_at_1
|
| 1248 |
+
value: 0.15062
|
| 1249 |
+
- type: map_at_10
|
| 1250 |
+
value: 0.26008
|
| 1251 |
+
- type: map_at_100
|
| 1252 |
+
value: 0.27305
|
| 1253 |
+
- type: map_at_1000
|
| 1254 |
+
value: 0.27373
|
| 1255 |
+
- type: map_at_3
|
| 1256 |
+
value: 0.22236
|
| 1257 |
+
- type: map_at_5
|
| 1258 |
+
value: 0.24362
|
| 1259 |
+
- type: mrr_at_1
|
| 1260 |
+
value: 0.15444
|
| 1261 |
+
- type: mrr_at_10
|
| 1262 |
+
value: 0.26458
|
| 1263 |
+
- type: mrr_at_100
|
| 1264 |
+
value: 0.27718
|
| 1265 |
+
- type: mrr_at_1000
|
| 1266 |
+
value: 0.2778
|
| 1267 |
+
- type: mrr_at_3
|
| 1268 |
+
value: 0.22701
|
| 1269 |
+
- type: mrr_at_5
|
| 1270 |
+
value: 0.24844
|
| 1271 |
+
- type: ndcg_at_1
|
| 1272 |
+
value: 0.15444
|
| 1273 |
+
- type: ndcg_at_10
|
| 1274 |
+
value: 0.32495
|
| 1275 |
+
- type: ndcg_at_100
|
| 1276 |
+
value: 0.38957
|
| 1277 |
+
- type: ndcg_at_1000
|
| 1278 |
+
value: 0.40684
|
| 1279 |
+
- type: ndcg_at_3
|
| 1280 |
+
value: 0.24745
|
| 1281 |
+
- type: ndcg_at_5
|
| 1282 |
+
value: 0.2856
|
| 1283 |
+
- type: precision_at_1
|
| 1284 |
+
value: 0.15444
|
| 1285 |
+
- type: precision_at_10
|
| 1286 |
+
value: 0.05486
|
| 1287 |
+
- type: precision_at_100
|
| 1288 |
+
value: 0.00875
|
| 1289 |
+
- type: precision_at_1000
|
| 1290 |
+
value: 0.00102
|
| 1291 |
+
- type: precision_at_3
|
| 1292 |
+
value: 0.1086
|
| 1293 |
+
- type: precision_at_5
|
| 1294 |
+
value: 0.08441
|
| 1295 |
+
- type: recall_at_1
|
| 1296 |
+
value: 0.15062
|
| 1297 |
+
- type: recall_at_10
|
| 1298 |
+
value: 0.5272
|
| 1299 |
+
- type: recall_at_100
|
| 1300 |
+
value: 0.83006
|
| 1301 |
+
- type: recall_at_1000
|
| 1302 |
+
value: 0.96263
|
| 1303 |
+
- type: recall_at_3
|
| 1304 |
+
value: 0.31556
|
| 1305 |
+
- type: recall_at_5
|
| 1306 |
+
value: 0.40706
|
| 1307 |
+
- task:
|
| 1308 |
+
type: Retrieval
|
| 1309 |
+
dataset:
|
| 1310 |
+
name: MTEB NFCorpus
|
| 1311 |
+
type: mteb/nfcorpus
|
| 1312 |
+
config: default
|
| 1313 |
+
split: test
|
| 1314 |
+
metrics:
|
| 1315 |
+
- type: map_at_1
|
| 1316 |
+
value: 0.06126
|
| 1317 |
+
- type: map_at_10
|
| 1318 |
+
value: 0.14152
|
| 1319 |
+
- type: map_at_100
|
| 1320 |
+
value: 0.1827
|
| 1321 |
+
- type: map_at_1000
|
| 1322 |
+
value: 0.1988
|
| 1323 |
+
- type: map_at_3
|
| 1324 |
+
value: 0.10301
|
| 1325 |
+
- type: map_at_5
|
| 1326 |
+
value: 0.12085
|
| 1327 |
+
- type: mrr_at_1
|
| 1328 |
+
value: 0.47988
|
| 1329 |
+
- type: mrr_at_10
|
| 1330 |
+
value: 0.5692
|
| 1331 |
+
- type: mrr_at_100
|
| 1332 |
+
value: 0.57428
|
| 1333 |
+
- type: mrr_at_1000
|
| 1334 |
+
value: 0.57482
|
| 1335 |
+
- type: mrr_at_3
|
| 1336 |
+
value: 0.55315
|
| 1337 |
+
- type: mrr_at_5
|
| 1338 |
+
value: 0.56352
|
| 1339 |
+
- type: ndcg_at_1
|
| 1340 |
+
value: 0.45356
|
| 1341 |
+
- type: ndcg_at_10
|
| 1342 |
+
value: 0.3725
|
| 1343 |
+
- type: ndcg_at_100
|
| 1344 |
+
value: 0.34496
|
| 1345 |
+
- type: ndcg_at_1000
|
| 1346 |
+
value: 0.43374
|
| 1347 |
+
- type: ndcg_at_3
|
| 1348 |
+
value: 0.42643
|
| 1349 |
+
- type: ndcg_at_5
|
| 1350 |
+
value: 0.40882
|
| 1351 |
+
- type: precision_at_1
|
| 1352 |
+
value: 0.47368
|
| 1353 |
+
- type: precision_at_10
|
| 1354 |
+
value: 0.2774
|
| 1355 |
+
- type: precision_at_100
|
| 1356 |
+
value: 0.09071
|
| 1357 |
+
- type: precision_at_1000
|
| 1358 |
+
value: 0.02226
|
| 1359 |
+
- type: precision_at_3
|
| 1360 |
+
value: 0.40144
|
| 1361 |
+
- type: precision_at_5
|
| 1362 |
+
value: 0.35913
|
| 1363 |
+
- type: recall_at_1
|
| 1364 |
+
value: 0.06126
|
| 1365 |
+
- type: recall_at_10
|
| 1366 |
+
value: 0.18427
|
| 1367 |
+
- type: recall_at_100
|
| 1368 |
+
value: 0.35018
|
| 1369 |
+
- type: recall_at_1000
|
| 1370 |
+
value: 0.6766
|
| 1371 |
+
- type: recall_at_3
|
| 1372 |
+
value: 0.11706
|
| 1373 |
+
- type: recall_at_5
|
| 1374 |
+
value: 0.14419
|
| 1375 |
+
- task:
|
| 1376 |
+
type: Retrieval
|
| 1377 |
+
dataset:
|
| 1378 |
+
name: MTEB NQ
|
| 1379 |
+
type: mteb/nq
|
| 1380 |
+
config: default
|
| 1381 |
+
split: test
|
| 1382 |
+
metrics:
|
| 1383 |
+
- type: map_at_1
|
| 1384 |
+
value: 0.33053
|
| 1385 |
+
- type: map_at_10
|
| 1386 |
+
value: 0.49739
|
| 1387 |
+
- type: map_at_100
|
| 1388 |
+
value: 0.50626
|
| 1389 |
+
- type: map_at_1000
|
| 1390 |
+
value: 0.50647
|
| 1391 |
+
- type: map_at_3
|
| 1392 |
+
value: 0.4491
|
| 1393 |
+
- type: map_at_5
|
| 1394 |
+
value: 0.4783
|
| 1395 |
+
- type: mrr_at_1
|
| 1396 |
+
value: 0.37254
|
| 1397 |
+
- type: mrr_at_10
|
| 1398 |
+
value: 0.52222
|
| 1399 |
+
- type: mrr_at_100
|
| 1400 |
+
value: 0.52855
|
| 1401 |
+
- type: mrr_at_1000
|
| 1402 |
+
value: 0.52869
|
| 1403 |
+
- type: mrr_at_3
|
| 1404 |
+
value: 0.48445
|
| 1405 |
+
- type: mrr_at_5
|
| 1406 |
+
value: 0.50834
|
| 1407 |
+
- type: ndcg_at_1
|
| 1408 |
+
value: 0.37254
|
| 1409 |
+
- type: ndcg_at_10
|
| 1410 |
+
value: 0.58044
|
| 1411 |
+
- type: ndcg_at_100
|
| 1412 |
+
value: 0.61613
|
| 1413 |
+
- type: ndcg_at_1000
|
| 1414 |
+
value: 0.62046
|
| 1415 |
+
- type: ndcg_at_3
|
| 1416 |
+
value: 0.49219
|
| 1417 |
+
- type: ndcg_at_5
|
| 1418 |
+
value: 0.54037
|
| 1419 |
+
- type: precision_at_1
|
| 1420 |
+
value: 0.37254
|
| 1421 |
+
- type: precision_at_10
|
| 1422 |
+
value: 0.09655
|
| 1423 |
+
- type: precision_at_100
|
| 1424 |
+
value: 0.01167
|
| 1425 |
+
- type: precision_at_1000
|
| 1426 |
+
value: 0.00121
|
| 1427 |
+
- type: precision_at_3
|
| 1428 |
+
value: 0.22538
|
| 1429 |
+
- type: precision_at_5
|
| 1430 |
+
value: 0.16344
|
| 1431 |
+
- type: recall_at_1
|
| 1432 |
+
value: 0.33053
|
| 1433 |
+
- type: recall_at_10
|
| 1434 |
+
value: 0.8076
|
| 1435 |
+
- type: recall_at_100
|
| 1436 |
+
value: 0.95862
|
| 1437 |
+
- type: recall_at_1000
|
| 1438 |
+
value: 0.99044
|
| 1439 |
+
- type: recall_at_3
|
| 1440 |
+
value: 0.58157
|
| 1441 |
+
- type: recall_at_5
|
| 1442 |
+
value: 0.69235
|
| 1443 |
+
- task:
|
| 1444 |
+
type: Retrieval
|
| 1445 |
+
dataset:
|
| 1446 |
+
name: MTEB QuoraRetrieval
|
| 1447 |
+
type: mteb/quora
|
| 1448 |
+
config: default
|
| 1449 |
+
split: test
|
| 1450 |
+
metrics:
|
| 1451 |
+
- type: map_at_1
|
| 1452 |
+
value: 0.70056
|
| 1453 |
+
- type: map_at_10
|
| 1454 |
+
value: 0.84009
|
| 1455 |
+
- type: map_at_100
|
| 1456 |
+
value: 0.84661
|
| 1457 |
+
- type: map_at_1000
|
| 1458 |
+
value: 0.84678
|
| 1459 |
+
- type: map_at_3
|
| 1460 |
+
value: 0.81036
|
| 1461 |
+
- type: map_at_5
|
| 1462 |
+
value: 0.82923
|
| 1463 |
+
- type: mrr_at_1
|
| 1464 |
+
value: 0.8062
|
| 1465 |
+
- type: mrr_at_10
|
| 1466 |
+
value: 0.86971
|
| 1467 |
+
- type: mrr_at_100
|
| 1468 |
+
value: 0.87079
|
| 1469 |
+
- type: mrr_at_1000
|
| 1470 |
+
value: 0.8708
|
| 1471 |
+
- type: mrr_at_3
|
| 1472 |
+
value: 0.85943
|
| 1473 |
+
- type: mrr_at_5
|
| 1474 |
+
value: 0.86664
|
| 1475 |
+
- type: ndcg_at_1
|
| 1476 |
+
value: 0.8064
|
| 1477 |
+
- type: ndcg_at_10
|
| 1478 |
+
value: 0.87821
|
| 1479 |
+
- type: ndcg_at_100
|
| 1480 |
+
value: 0.89091
|
| 1481 |
+
- type: ndcg_at_1000
|
| 1482 |
+
value: 0.89202
|
| 1483 |
+
- type: ndcg_at_3
|
| 1484 |
+
value: 0.849
|
| 1485 |
+
- type: ndcg_at_5
|
| 1486 |
+
value: 0.86544
|
| 1487 |
+
- type: precision_at_1
|
| 1488 |
+
value: 0.8064
|
| 1489 |
+
- type: precision_at_10
|
| 1490 |
+
value: 0.13347
|
| 1491 |
+
- type: precision_at_100
|
| 1492 |
+
value: 0.01527
|
| 1493 |
+
- type: precision_at_1000
|
| 1494 |
+
value: 0.00157
|
| 1495 |
+
- type: precision_at_3
|
| 1496 |
+
value: 0.37153
|
| 1497 |
+
- type: precision_at_5
|
| 1498 |
+
value: 0.2448
|
| 1499 |
+
- type: recall_at_1
|
| 1500 |
+
value: 0.70056
|
| 1501 |
+
- type: recall_at_10
|
| 1502 |
+
value: 0.95148
|
| 1503 |
+
- type: recall_at_100
|
| 1504 |
+
value: 0.99474
|
| 1505 |
+
- type: recall_at_1000
|
| 1506 |
+
value: 0.99977
|
| 1507 |
+
- type: recall_at_3
|
| 1508 |
+
value: 0.86773
|
| 1509 |
+
- type: recall_at_5
|
| 1510 |
+
value: 0.91396
|
| 1511 |
+
- task:
|
| 1512 |
+
type: Retrieval
|
| 1513 |
+
dataset:
|
| 1514 |
+
name: MTEB SCIDOCS
|
| 1515 |
+
type: mteb/scidocs
|
| 1516 |
+
config: default
|
| 1517 |
+
split: test
|
| 1518 |
+
metrics:
|
| 1519 |
+
- type: map_at_1
|
| 1520 |
+
value: 0.05737
|
| 1521 |
+
- type: map_at_10
|
| 1522 |
+
value: 0.14896
|
| 1523 |
+
- type: map_at_100
|
| 1524 |
+
value: 0.17646
|
| 1525 |
+
- type: map_at_1000
|
| 1526 |
+
value: 0.1803
|
| 1527 |
+
- type: map_at_3
|
| 1528 |
+
value: 0.10474
|
| 1529 |
+
- type: map_at_5
|
| 1530 |
+
value: 0.12656
|
| 1531 |
+
- type: mrr_at_1
|
| 1532 |
+
value: 0.281
|
| 1533 |
+
- type: mrr_at_10
|
| 1534 |
+
value: 0.39579
|
| 1535 |
+
- type: mrr_at_100
|
| 1536 |
+
value: 0.40687
|
| 1537 |
+
- type: mrr_at_1000
|
| 1538 |
+
value: 0.40722
|
| 1539 |
+
- type: mrr_at_3
|
| 1540 |
+
value: 0.35917
|
| 1541 |
+
- type: mrr_at_5
|
| 1542 |
+
value: 0.38097
|
| 1543 |
+
- type: ndcg_at_1
|
| 1544 |
+
value: 0.281
|
| 1545 |
+
- type: ndcg_at_10
|
| 1546 |
+
value: 0.24146
|
| 1547 |
+
- type: ndcg_at_100
|
| 1548 |
+
value: 0.339
|
| 1549 |
+
- type: ndcg_at_1000
|
| 1550 |
+
value: 0.39728
|
| 1551 |
+
- type: ndcg_at_3
|
| 1552 |
+
value: 0.22721
|
| 1553 |
+
- type: ndcg_at_5
|
| 1554 |
+
value: 0.20015
|
| 1555 |
+
- type: precision_at_1
|
| 1556 |
+
value: 0.281
|
| 1557 |
+
- type: precision_at_10
|
| 1558 |
+
value: 0.1254
|
| 1559 |
+
- type: precision_at_100
|
| 1560 |
+
value: 0.02651
|
| 1561 |
+
- type: precision_at_1000
|
| 1562 |
+
value: 0.00404
|
| 1563 |
+
- type: precision_at_3
|
| 1564 |
+
value: 0.212
|
| 1565 |
+
- type: precision_at_5
|
| 1566 |
+
value: 0.176
|
| 1567 |
+
- type: recall_at_1
|
| 1568 |
+
value: 0.05737
|
| 1569 |
+
- type: recall_at_10
|
| 1570 |
+
value: 0.254
|
| 1571 |
+
- type: recall_at_100
|
| 1572 |
+
value: 0.53772
|
| 1573 |
+
- type: recall_at_1000
|
| 1574 |
+
value: 0.82013
|
| 1575 |
+
- type: recall_at_3
|
| 1576 |
+
value: 0.12897
|
| 1577 |
+
- type: recall_at_5
|
| 1578 |
+
value: 0.17855
|
| 1579 |
+
- task:
|
| 1580 |
+
type: Retrieval
|
| 1581 |
+
dataset:
|
| 1582 |
+
name: MTEB SciFact
|
| 1583 |
+
type: mteb/scifact
|
| 1584 |
+
config: default
|
| 1585 |
+
split: test
|
| 1586 |
+
metrics:
|
| 1587 |
+
- type: map_at_1
|
| 1588 |
+
value: 0.60011
|
| 1589 |
+
- type: map_at_10
|
| 1590 |
+
value: 0.70101
|
| 1591 |
+
- type: map_at_100
|
| 1592 |
+
value: 0.70687
|
| 1593 |
+
- type: map_at_1000
|
| 1594 |
+
value: 0.70699
|
| 1595 |
+
- type: map_at_3
|
| 1596 |
+
value: 0.67135
|
| 1597 |
+
- type: map_at_5
|
| 1598 |
+
value: 0.6878
|
| 1599 |
+
- type: mrr_at_1
|
| 1600 |
+
value: 0.62667
|
| 1601 |
+
- type: mrr_at_10
|
| 1602 |
+
value: 0.71022
|
| 1603 |
+
- type: mrr_at_100
|
| 1604 |
+
value: 0.71484
|
| 1605 |
+
- type: mrr_at_1000
|
| 1606 |
+
value: 0.71496
|
| 1607 |
+
- type: mrr_at_3
|
| 1608 |
+
value: 0.68944
|
| 1609 |
+
- type: mrr_at_5
|
| 1610 |
+
value: 0.69961
|
| 1611 |
+
- type: ndcg_at_1
|
| 1612 |
+
value: 0.62667
|
| 1613 |
+
- type: ndcg_at_10
|
| 1614 |
+
value: 0.7472
|
| 1615 |
+
- type: ndcg_at_100
|
| 1616 |
+
value: 0.76961
|
| 1617 |
+
- type: ndcg_at_1000
|
| 1618 |
+
value: 0.77294
|
| 1619 |
+
- type: ndcg_at_3
|
| 1620 |
+
value: 0.69776
|
| 1621 |
+
- type: ndcg_at_5
|
| 1622 |
+
value: 0.71964
|
| 1623 |
+
- type: precision_at_1
|
| 1624 |
+
value: 0.62667
|
| 1625 |
+
- type: precision_at_10
|
| 1626 |
+
value: 0.09933
|
| 1627 |
+
- type: precision_at_100
|
| 1628 |
+
value: 0.01103
|
| 1629 |
+
- type: precision_at_1000
|
| 1630 |
+
value: 0.00113
|
| 1631 |
+
- type: precision_at_3
|
| 1632 |
+
value: 0.27
|
| 1633 |
+
- type: precision_at_5
|
| 1634 |
+
value: 0.178
|
| 1635 |
+
- type: recall_at_1
|
| 1636 |
+
value: 0.60011
|
| 1637 |
+
- type: recall_at_10
|
| 1638 |
+
value: 0.878
|
| 1639 |
+
- type: recall_at_100
|
| 1640 |
+
value: 0.97333
|
| 1641 |
+
- type: recall_at_1000
|
| 1642 |
+
value: 1
|
| 1643 |
+
- type: recall_at_3
|
| 1644 |
+
value: 0.74839
|
| 1645 |
+
- type: recall_at_5
|
| 1646 |
+
value: 0.80028
|
| 1647 |
+
- task:
|
| 1648 |
+
type: Retrieval
|
| 1649 |
+
dataset:
|
| 1650 |
+
name: MTEB Touche2020
|
| 1651 |
+
type: mteb/touche2020
|
| 1652 |
+
config: default
|
| 1653 |
+
split: test
|
| 1654 |
+
metrics:
|
| 1655 |
+
- type: map_at_1
|
| 1656 |
+
value: 0.02152
|
| 1657 |
+
- type: map_at_10
|
| 1658 |
+
value: 0.07747
|
| 1659 |
+
- type: map_at_100
|
| 1660 |
+
value: 0.1364
|
| 1661 |
+
- type: map_at_1000
|
| 1662 |
+
value: 0.15235
|
| 1663 |
+
- type: map_at_3
|
| 1664 |
+
value: 0.04103
|
| 1665 |
+
- type: map_at_5
|
| 1666 |
+
value: 0.05482
|
| 1667 |
+
- type: mrr_at_1
|
| 1668 |
+
value: 0.26531
|
| 1669 |
+
- type: mrr_at_10
|
| 1670 |
+
value: 0.41399
|
| 1671 |
+
- type: mrr_at_100
|
| 1672 |
+
value: 0.43047
|
| 1673 |
+
- type: mrr_at_1000
|
| 1674 |
+
value: 0.43047
|
| 1675 |
+
- type: mrr_at_3
|
| 1676 |
+
value: 0.38776
|
| 1677 |
+
- type: mrr_at_5
|
| 1678 |
+
value: 0.40612
|
| 1679 |
+
- type: ndcg_at_1
|
| 1680 |
+
value: 0.23469
|
| 1681 |
+
- type: ndcg_at_10
|
| 1682 |
+
value: 0.20147
|
| 1683 |
+
- type: ndcg_at_100
|
| 1684 |
+
value: 0.3279
|
| 1685 |
+
- type: ndcg_at_1000
|
| 1686 |
+
value: 0.45324
|
| 1687 |
+
- type: ndcg_at_3
|
| 1688 |
+
value: 0.22555
|
| 1689 |
+
- type: ndcg_at_5
|
| 1690 |
+
value: 0.2097
|
| 1691 |
+
- type: precision_at_1
|
| 1692 |
+
value: 0.26531
|
| 1693 |
+
- type: precision_at_10
|
| 1694 |
+
value: 0.17755
|
| 1695 |
+
- type: precision_at_100
|
| 1696 |
+
value: 0.07082
|
| 1697 |
+
- type: precision_at_1000
|
| 1698 |
+
value: 0.01547
|
| 1699 |
+
- type: precision_at_3
|
| 1700 |
+
value: 0.2449
|
| 1701 |
+
- type: precision_at_5
|
| 1702 |
+
value: 0.21633
|
| 1703 |
+
- type: recall_at_1
|
| 1704 |
+
value: 0.02152
|
| 1705 |
+
- type: recall_at_10
|
| 1706 |
+
value: 0.13331
|
| 1707 |
+
- type: recall_at_100
|
| 1708 |
+
value: 0.4535
|
| 1709 |
+
- type: recall_at_1000
|
| 1710 |
+
value: 0.83447
|
| 1711 |
+
- type: recall_at_3
|
| 1712 |
+
value: 0.05531
|
| 1713 |
+
- type: recall_at_5
|
| 1714 |
+
value: 0.08029
|
| 1715 |
+
- task:
|
| 1716 |
+
type: Retrieval
|
| 1717 |
+
dataset:
|
| 1718 |
+
name: MTEB TRECCOVID
|
| 1719 |
+
type: mteb/trec-covid
|
| 1720 |
+
config: default
|
| 1721 |
+
split: test
|
| 1722 |
+
metrics:
|
| 1723 |
+
- type: map_at_1
|
| 1724 |
+
value: 0.00202
|
| 1725 |
+
- type: map_at_10
|
| 1726 |
+
value: 0.01727
|
| 1727 |
+
- type: map_at_100
|
| 1728 |
+
value: 0.10906
|
| 1729 |
+
- type: map_at_1000
|
| 1730 |
+
value: 0.2894
|
| 1731 |
+
- type: map_at_3
|
| 1732 |
+
value: 0.00553
|
| 1733 |
+
- type: map_at_5
|
| 1734 |
+
value: 0.00924
|
| 1735 |
+
- type: mrr_at_1
|
| 1736 |
+
value: 0.74
|
| 1737 |
+
- type: mrr_at_10
|
| 1738 |
+
value: 0.85667
|
| 1739 |
+
- type: mrr_at_100
|
| 1740 |
+
value: 0.85667
|
| 1741 |
+
- type: mrr_at_1000
|
| 1742 |
+
value: 0.85667
|
| 1743 |
+
- type: mrr_at_3
|
| 1744 |
+
value: 0.85667
|
| 1745 |
+
- type: mrr_at_5
|
| 1746 |
+
value: 0.85667
|
| 1747 |
+
- type: ndcg_at_1
|
| 1748 |
+
value: 0.66
|
| 1749 |
+
- type: ndcg_at_10
|
| 1750 |
+
value: 0.69259
|
| 1751 |
+
- type: ndcg_at_100
|
| 1752 |
+
value: 0.57274
|
| 1753 |
+
- type: ndcg_at_1000
|
| 1754 |
+
value: 0.55462
|
| 1755 |
+
- type: ndcg_at_3
|
| 1756 |
+
value: 0.70654
|
| 1757 |
+
- type: ndcg_at_5
|
| 1758 |
+
value: 0.71611
|
| 1759 |
+
- type: precision_at_1
|
| 1760 |
+
value: 0.74
|
| 1761 |
+
- type: precision_at_10
|
| 1762 |
+
value: 0.748
|
| 1763 |
+
- type: precision_at_100
|
| 1764 |
+
value: 0.5962
|
| 1765 |
+
- type: precision_at_1000
|
| 1766 |
+
value: 0.24842
|
| 1767 |
+
- type: precision_at_3
|
| 1768 |
+
value: 0.77333
|
| 1769 |
+
- type: precision_at_5
|
| 1770 |
+
value: 0.788
|
| 1771 |
+
- type: recall_at_1
|
| 1772 |
+
value: 0.00202
|
| 1773 |
+
- type: recall_at_10
|
| 1774 |
+
value: 0.02001
|
| 1775 |
+
- type: recall_at_100
|
| 1776 |
+
value: 0.14801
|
| 1777 |
+
- type: recall_at_1000
|
| 1778 |
+
value: 0.53939
|
| 1779 |
+
- type: recall_at_3
|
| 1780 |
+
value: 0.00609
|
| 1781 |
+
- type: recall_at_5
|
| 1782 |
+
value: 0.01048
|
| 1783 |
---
|
| 1784 |
## 💫 Community Model> granite embedding 125m english by Ibm-Granite
|
| 1785 |
|