Update README.md
Browse files
README.md
CHANGED
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@@ -48,6 +48,110 @@ model-index:
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value: 40.988
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- type: f1
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value: 40.776679545648506
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| 51 |
- task:
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type: STS
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dataset:
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@@ -82,6 +186,856 @@ model-index:
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value: 81.25
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- type: f1
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value: 81.20841448916138
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| 85 |
- task:
|
| 86 |
type: Classification
|
| 87 |
dataset:
|
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@@ -162,6 +1116,50 @@ model-index:
|
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| 162 |
value: 74.54270342972428
|
| 163 |
- type: f1
|
| 164 |
value: 74.02802500235784
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| 165 |
- task:
|
| 166 |
type: STS
|
| 167 |
dataset:
|
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@@ -351,6 +1349,19 @@ model-index:
|
|
| 351 |
value: 82.9630328314908
|
| 352 |
- type: manhattan_spearman
|
| 353 |
value: 82.13726553603003
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| 354 |
- task:
|
| 355 |
type: PairClassification
|
| 356 |
dataset:
|
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@@ -406,6 +1417,41 @@ model-index:
|
|
| 406 |
value: 94.58629018512772
|
| 407 |
- type: max_f1
|
| 408 |
value: 90.02531645569621
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| 409 |
- task:
|
| 410 |
type: Classification
|
| 411 |
dataset:
|
|
@@ -434,6 +1480,17 @@ model-index:
|
|
| 434 |
value: 57.475947934352
|
| 435 |
- type: f1
|
| 436 |
value: 57.77676730676238
|
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|
| 437 |
- task:
|
| 438 |
type: PairClassification
|
| 439 |
dataset:
|
|
@@ -548,6 +1605,7 @@ license: mit
|
|
| 548 |
language:
|
| 549 |
- en
|
| 550 |
---
|
|
|
|
| 551 |
This is the sparse ONNX variant of the [bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) embeddings model created with [DeepSparse Optimum](https://github.com/neuralmagic/optimum-deepsparse) for ONNX export and Neural Magic's [Sparsify](https://github.com/neuralmagic/sparsify) for One-Shot quantization and unstructured pruning (50%).
|
| 552 |
|
| 553 |
Current up-to-date list of sparse and quantized bge ONNX models:
|
|
|
|
| 48 |
value: 40.988
|
| 49 |
- type: f1
|
| 50 |
value: 40.776679545648506
|
| 51 |
+
- task:
|
| 52 |
+
type: Retrieval
|
| 53 |
+
dataset:
|
| 54 |
+
type: arguana
|
| 55 |
+
name: MTEB ArguAna
|
| 56 |
+
config: default
|
| 57 |
+
split: test
|
| 58 |
+
revision: None
|
| 59 |
+
metrics:
|
| 60 |
+
- type: map_at_1
|
| 61 |
+
value: 26.101999999999997
|
| 62 |
+
- type: map_at_10
|
| 63 |
+
value: 40.754000000000005
|
| 64 |
+
- type: map_at_100
|
| 65 |
+
value: 41.83
|
| 66 |
+
- type: map_at_1000
|
| 67 |
+
value: 41.845
|
| 68 |
+
- type: map_at_3
|
| 69 |
+
value: 36.178
|
| 70 |
+
- type: map_at_5
|
| 71 |
+
value: 38.646
|
| 72 |
+
- type: mrr_at_1
|
| 73 |
+
value: 26.6
|
| 74 |
+
- type: mrr_at_10
|
| 75 |
+
value: 40.934
|
| 76 |
+
- type: mrr_at_100
|
| 77 |
+
value: 42.015
|
| 78 |
+
- type: mrr_at_1000
|
| 79 |
+
value: 42.03
|
| 80 |
+
- type: mrr_at_3
|
| 81 |
+
value: 36.344
|
| 82 |
+
- type: mrr_at_5
|
| 83 |
+
value: 38.848
|
| 84 |
+
- type: ndcg_at_1
|
| 85 |
+
value: 26.101999999999997
|
| 86 |
+
- type: ndcg_at_10
|
| 87 |
+
value: 49.126999999999995
|
| 88 |
+
- type: ndcg_at_100
|
| 89 |
+
value: 53.815999999999995
|
| 90 |
+
- type: ndcg_at_1000
|
| 91 |
+
value: 54.178000000000004
|
| 92 |
+
- type: ndcg_at_3
|
| 93 |
+
value: 39.607
|
| 94 |
+
- type: ndcg_at_5
|
| 95 |
+
value: 44.086999999999996
|
| 96 |
+
- type: precision_at_1
|
| 97 |
+
value: 26.101999999999997
|
| 98 |
+
- type: precision_at_10
|
| 99 |
+
value: 7.596
|
| 100 |
+
- type: precision_at_100
|
| 101 |
+
value: 0.967
|
| 102 |
+
- type: precision_at_1000
|
| 103 |
+
value: 0.099
|
| 104 |
+
- type: precision_at_3
|
| 105 |
+
value: 16.524
|
| 106 |
+
- type: precision_at_5
|
| 107 |
+
value: 12.105
|
| 108 |
+
- type: recall_at_1
|
| 109 |
+
value: 26.101999999999997
|
| 110 |
+
- type: recall_at_10
|
| 111 |
+
value: 75.96000000000001
|
| 112 |
+
- type: recall_at_100
|
| 113 |
+
value: 96.65700000000001
|
| 114 |
+
- type: recall_at_1000
|
| 115 |
+
value: 99.431
|
| 116 |
+
- type: recall_at_3
|
| 117 |
+
value: 49.573
|
| 118 |
+
- type: recall_at_5
|
| 119 |
+
value: 60.526
|
| 120 |
+
- task:
|
| 121 |
+
type: Clustering
|
| 122 |
+
dataset:
|
| 123 |
+
type: mteb/arxiv-clustering-p2p
|
| 124 |
+
name: MTEB ArxivClusteringP2P
|
| 125 |
+
config: default
|
| 126 |
+
split: test
|
| 127 |
+
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
|
| 128 |
+
metrics:
|
| 129 |
+
- type: v_measure
|
| 130 |
+
value: 43.10651535441929
|
| 131 |
+
- task:
|
| 132 |
+
type: Clustering
|
| 133 |
+
dataset:
|
| 134 |
+
type: mteb/arxiv-clustering-s2s
|
| 135 |
+
name: MTEB ArxivClusteringS2S
|
| 136 |
+
config: default
|
| 137 |
+
split: test
|
| 138 |
+
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
|
| 139 |
+
metrics:
|
| 140 |
+
- type: v_measure
|
| 141 |
+
value: 34.41095293826606
|
| 142 |
+
- task:
|
| 143 |
+
type: Reranking
|
| 144 |
+
dataset:
|
| 145 |
+
type: mteb/askubuntudupquestions-reranking
|
| 146 |
+
name: MTEB AskUbuntuDupQuestions
|
| 147 |
+
config: default
|
| 148 |
+
split: test
|
| 149 |
+
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
|
| 150 |
+
metrics:
|
| 151 |
+
- type: map
|
| 152 |
+
value: 56.96575970919239
|
| 153 |
+
- type: mrr
|
| 154 |
+
value: 69.92503187794047
|
| 155 |
- task:
|
| 156 |
type: STS
|
| 157 |
dataset:
|
|
|
|
| 186 |
value: 81.25
|
| 187 |
- type: f1
|
| 188 |
value: 81.20841448916138
|
| 189 |
+
- task:
|
| 190 |
+
type: Clustering
|
| 191 |
+
dataset:
|
| 192 |
+
type: mteb/biorxiv-clustering-p2p
|
| 193 |
+
name: MTEB BiorxivClusteringP2P
|
| 194 |
+
config: default
|
| 195 |
+
split: test
|
| 196 |
+
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
|
| 197 |
+
metrics:
|
| 198 |
+
- type: v_measure
|
| 199 |
+
value: 34.69545244587236
|
| 200 |
+
- task:
|
| 201 |
+
type: Clustering
|
| 202 |
+
dataset:
|
| 203 |
+
type: mteb/biorxiv-clustering-s2s
|
| 204 |
+
name: MTEB BiorxivClusteringS2S
|
| 205 |
+
config: default
|
| 206 |
+
split: test
|
| 207 |
+
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
|
| 208 |
+
metrics:
|
| 209 |
+
- type: v_measure
|
| 210 |
+
value: 28.84301739171936
|
| 211 |
+
- task:
|
| 212 |
+
type: Retrieval
|
| 213 |
+
dataset:
|
| 214 |
+
type: BeIR/cqadupstack
|
| 215 |
+
name: MTEB CQADupstackAndroidRetrieval
|
| 216 |
+
config: default
|
| 217 |
+
split: test
|
| 218 |
+
revision: None
|
| 219 |
+
metrics:
|
| 220 |
+
- type: map_at_1
|
| 221 |
+
value: 23.401
|
| 222 |
+
- type: map_at_10
|
| 223 |
+
value: 32.451
|
| 224 |
+
- type: map_at_100
|
| 225 |
+
value: 33.891
|
| 226 |
+
- type: map_at_1000
|
| 227 |
+
value: 34.01
|
| 228 |
+
- type: map_at_3
|
| 229 |
+
value: 29.365999999999996
|
| 230 |
+
- type: map_at_5
|
| 231 |
+
value: 31.240000000000002
|
| 232 |
+
- type: mrr_at_1
|
| 233 |
+
value: 29.9
|
| 234 |
+
- type: mrr_at_10
|
| 235 |
+
value: 38.590999999999994
|
| 236 |
+
- type: mrr_at_100
|
| 237 |
+
value: 39.587
|
| 238 |
+
- type: mrr_at_1000
|
| 239 |
+
value: 39.637
|
| 240 |
+
- type: mrr_at_3
|
| 241 |
+
value: 36.028
|
| 242 |
+
- type: mrr_at_5
|
| 243 |
+
value: 37.673
|
| 244 |
+
- type: ndcg_at_1
|
| 245 |
+
value: 29.9
|
| 246 |
+
- type: ndcg_at_10
|
| 247 |
+
value: 38.251000000000005
|
| 248 |
+
- type: ndcg_at_100
|
| 249 |
+
value: 44.354
|
| 250 |
+
- type: ndcg_at_1000
|
| 251 |
+
value: 46.642
|
| 252 |
+
- type: ndcg_at_3
|
| 253 |
+
value: 33.581
|
| 254 |
+
- type: ndcg_at_5
|
| 255 |
+
value: 35.96
|
| 256 |
+
- type: precision_at_1
|
| 257 |
+
value: 29.9
|
| 258 |
+
- type: precision_at_10
|
| 259 |
+
value: 7.439
|
| 260 |
+
- type: precision_at_100
|
| 261 |
+
value: 1.28
|
| 262 |
+
- type: precision_at_1000
|
| 263 |
+
value: 0.17700000000000002
|
| 264 |
+
- type: precision_at_3
|
| 265 |
+
value: 16.404
|
| 266 |
+
- type: precision_at_5
|
| 267 |
+
value: 12.046
|
| 268 |
+
- type: recall_at_1
|
| 269 |
+
value: 23.401
|
| 270 |
+
- type: recall_at_10
|
| 271 |
+
value: 49.305
|
| 272 |
+
- type: recall_at_100
|
| 273 |
+
value: 75.885
|
| 274 |
+
- type: recall_at_1000
|
| 275 |
+
value: 90.885
|
| 276 |
+
- type: recall_at_3
|
| 277 |
+
value: 35.341
|
| 278 |
+
- type: recall_at_5
|
| 279 |
+
value: 42.275
|
| 280 |
+
- task:
|
| 281 |
+
type: Retrieval
|
| 282 |
+
dataset:
|
| 283 |
+
type: BeIR/cqadupstack
|
| 284 |
+
name: MTEB CQADupstackEnglishRetrieval
|
| 285 |
+
config: default
|
| 286 |
+
split: test
|
| 287 |
+
revision: None
|
| 288 |
+
metrics:
|
| 289 |
+
- type: map_at_1
|
| 290 |
+
value: 22.103
|
| 291 |
+
- type: map_at_10
|
| 292 |
+
value: 29.271
|
| 293 |
+
- type: map_at_100
|
| 294 |
+
value: 30.151
|
| 295 |
+
- type: map_at_1000
|
| 296 |
+
value: 30.276999999999997
|
| 297 |
+
- type: map_at_3
|
| 298 |
+
value: 27.289
|
| 299 |
+
- type: map_at_5
|
| 300 |
+
value: 28.236
|
| 301 |
+
- type: mrr_at_1
|
| 302 |
+
value: 26.943
|
| 303 |
+
- type: mrr_at_10
|
| 304 |
+
value: 33.782000000000004
|
| 305 |
+
- type: mrr_at_100
|
| 306 |
+
value: 34.459
|
| 307 |
+
- type: mrr_at_1000
|
| 308 |
+
value: 34.525
|
| 309 |
+
- type: mrr_at_3
|
| 310 |
+
value: 31.985000000000003
|
| 311 |
+
- type: mrr_at_5
|
| 312 |
+
value: 32.909
|
| 313 |
+
- type: ndcg_at_1
|
| 314 |
+
value: 26.943
|
| 315 |
+
- type: ndcg_at_10
|
| 316 |
+
value: 33.616
|
| 317 |
+
- type: ndcg_at_100
|
| 318 |
+
value: 37.669000000000004
|
| 319 |
+
- type: ndcg_at_1000
|
| 320 |
+
value: 40.247
|
| 321 |
+
- type: ndcg_at_3
|
| 322 |
+
value: 30.482
|
| 323 |
+
- type: ndcg_at_5
|
| 324 |
+
value: 31.615
|
| 325 |
+
- type: precision_at_1
|
| 326 |
+
value: 26.943
|
| 327 |
+
- type: precision_at_10
|
| 328 |
+
value: 6.146
|
| 329 |
+
- type: precision_at_100
|
| 330 |
+
value: 1.038
|
| 331 |
+
- type: precision_at_1000
|
| 332 |
+
value: 0.151
|
| 333 |
+
- type: precision_at_3
|
| 334 |
+
value: 14.521999999999998
|
| 335 |
+
- type: precision_at_5
|
| 336 |
+
value: 10.038
|
| 337 |
+
- type: recall_at_1
|
| 338 |
+
value: 22.103
|
| 339 |
+
- type: recall_at_10
|
| 340 |
+
value: 41.754999999999995
|
| 341 |
+
- type: recall_at_100
|
| 342 |
+
value: 59.636
|
| 343 |
+
- type: recall_at_1000
|
| 344 |
+
value: 76.801
|
| 345 |
+
- type: recall_at_3
|
| 346 |
+
value: 32.285000000000004
|
| 347 |
+
- type: recall_at_5
|
| 348 |
+
value: 35.684
|
| 349 |
+
- task:
|
| 350 |
+
type: Retrieval
|
| 351 |
+
dataset:
|
| 352 |
+
type: BeIR/cqadupstack
|
| 353 |
+
name: MTEB CQADupstackGamingRetrieval
|
| 354 |
+
config: default
|
| 355 |
+
split: test
|
| 356 |
+
revision: None
|
| 357 |
+
metrics:
|
| 358 |
+
- type: map_at_1
|
| 359 |
+
value: 32.565
|
| 360 |
+
- type: map_at_10
|
| 361 |
+
value: 43.07
|
| 362 |
+
- type: map_at_100
|
| 363 |
+
value: 44.102999999999994
|
| 364 |
+
- type: map_at_1000
|
| 365 |
+
value: 44.175
|
| 366 |
+
- type: map_at_3
|
| 367 |
+
value: 40.245
|
| 368 |
+
- type: map_at_5
|
| 369 |
+
value: 41.71
|
| 370 |
+
- type: mrr_at_1
|
| 371 |
+
value: 37.429
|
| 372 |
+
- type: mrr_at_10
|
| 373 |
+
value: 46.358
|
| 374 |
+
- type: mrr_at_100
|
| 375 |
+
value: 47.146
|
| 376 |
+
- type: mrr_at_1000
|
| 377 |
+
value: 47.187
|
| 378 |
+
- type: mrr_at_3
|
| 379 |
+
value: 44.086
|
| 380 |
+
- type: mrr_at_5
|
| 381 |
+
value: 45.318000000000005
|
| 382 |
+
- type: ndcg_at_1
|
| 383 |
+
value: 37.429
|
| 384 |
+
- type: ndcg_at_10
|
| 385 |
+
value: 48.398
|
| 386 |
+
- type: ndcg_at_100
|
| 387 |
+
value: 52.90899999999999
|
| 388 |
+
- type: ndcg_at_1000
|
| 389 |
+
value: 54.478
|
| 390 |
+
- type: ndcg_at_3
|
| 391 |
+
value: 43.418
|
| 392 |
+
- type: ndcg_at_5
|
| 393 |
+
value: 45.578
|
| 394 |
+
- type: precision_at_1
|
| 395 |
+
value: 37.429
|
| 396 |
+
- type: precision_at_10
|
| 397 |
+
value: 7.856000000000001
|
| 398 |
+
- type: precision_at_100
|
| 399 |
+
value: 1.093
|
| 400 |
+
- type: precision_at_1000
|
| 401 |
+
value: 0.129
|
| 402 |
+
- type: precision_at_3
|
| 403 |
+
value: 19.331
|
| 404 |
+
- type: precision_at_5
|
| 405 |
+
value: 13.191
|
| 406 |
+
- type: recall_at_1
|
| 407 |
+
value: 32.565
|
| 408 |
+
- type: recall_at_10
|
| 409 |
+
value: 61.021
|
| 410 |
+
- type: recall_at_100
|
| 411 |
+
value: 81.105
|
| 412 |
+
- type: recall_at_1000
|
| 413 |
+
value: 92.251
|
| 414 |
+
- type: recall_at_3
|
| 415 |
+
value: 47.637
|
| 416 |
+
- type: recall_at_5
|
| 417 |
+
value: 52.871
|
| 418 |
+
- task:
|
| 419 |
+
type: Retrieval
|
| 420 |
+
dataset:
|
| 421 |
+
type: BeIR/cqadupstack
|
| 422 |
+
name: MTEB CQADupstackGisRetrieval
|
| 423 |
+
config: default
|
| 424 |
+
split: test
|
| 425 |
+
revision: None
|
| 426 |
+
metrics:
|
| 427 |
+
- type: map_at_1
|
| 428 |
+
value: 18.108
|
| 429 |
+
- type: map_at_10
|
| 430 |
+
value: 24.613
|
| 431 |
+
- type: map_at_100
|
| 432 |
+
value: 25.624000000000002
|
| 433 |
+
- type: map_at_1000
|
| 434 |
+
value: 25.721
|
| 435 |
+
- type: map_at_3
|
| 436 |
+
value: 22.271
|
| 437 |
+
- type: map_at_5
|
| 438 |
+
value: 23.681
|
| 439 |
+
- type: mrr_at_1
|
| 440 |
+
value: 19.435
|
| 441 |
+
- type: mrr_at_10
|
| 442 |
+
value: 26.124000000000002
|
| 443 |
+
- type: mrr_at_100
|
| 444 |
+
value: 27.07
|
| 445 |
+
- type: mrr_at_1000
|
| 446 |
+
value: 27.145999999999997
|
| 447 |
+
- type: mrr_at_3
|
| 448 |
+
value: 23.748
|
| 449 |
+
- type: mrr_at_5
|
| 450 |
+
value: 25.239
|
| 451 |
+
- type: ndcg_at_1
|
| 452 |
+
value: 19.435
|
| 453 |
+
- type: ndcg_at_10
|
| 454 |
+
value: 28.632
|
| 455 |
+
- type: ndcg_at_100
|
| 456 |
+
value: 33.988
|
| 457 |
+
- type: ndcg_at_1000
|
| 458 |
+
value: 36.551
|
| 459 |
+
- type: ndcg_at_3
|
| 460 |
+
value: 24.035999999999998
|
| 461 |
+
- type: ndcg_at_5
|
| 462 |
+
value: 26.525
|
| 463 |
+
- type: precision_at_1
|
| 464 |
+
value: 19.435
|
| 465 |
+
- type: precision_at_10
|
| 466 |
+
value: 4.565
|
| 467 |
+
- type: precision_at_100
|
| 468 |
+
value: 0.771
|
| 469 |
+
- type: precision_at_1000
|
| 470 |
+
value: 0.10200000000000001
|
| 471 |
+
- type: precision_at_3
|
| 472 |
+
value: 10.169
|
| 473 |
+
- type: precision_at_5
|
| 474 |
+
value: 7.571
|
| 475 |
+
- type: recall_at_1
|
| 476 |
+
value: 18.108
|
| 477 |
+
- type: recall_at_10
|
| 478 |
+
value: 39.533
|
| 479 |
+
- type: recall_at_100
|
| 480 |
+
value: 64.854
|
| 481 |
+
- type: recall_at_1000
|
| 482 |
+
value: 84.421
|
| 483 |
+
- type: recall_at_3
|
| 484 |
+
value: 27.500000000000004
|
| 485 |
+
- type: recall_at_5
|
| 486 |
+
value: 33.314
|
| 487 |
+
- task:
|
| 488 |
+
type: Retrieval
|
| 489 |
+
dataset:
|
| 490 |
+
type: BeIR/cqadupstack
|
| 491 |
+
name: MTEB CQADupstackMathematicaRetrieval
|
| 492 |
+
config: default
|
| 493 |
+
split: test
|
| 494 |
+
revision: None
|
| 495 |
+
metrics:
|
| 496 |
+
- type: map_at_1
|
| 497 |
+
value: 11.087
|
| 498 |
+
- type: map_at_10
|
| 499 |
+
value: 17.323
|
| 500 |
+
- type: map_at_100
|
| 501 |
+
value: 18.569
|
| 502 |
+
- type: map_at_1000
|
| 503 |
+
value: 18.694
|
| 504 |
+
- type: map_at_3
|
| 505 |
+
value: 15.370000000000001
|
| 506 |
+
- type: map_at_5
|
| 507 |
+
value: 16.538
|
| 508 |
+
- type: mrr_at_1
|
| 509 |
+
value: 13.557
|
| 510 |
+
- type: mrr_at_10
|
| 511 |
+
value: 21.041
|
| 512 |
+
- type: mrr_at_100
|
| 513 |
+
value: 22.134
|
| 514 |
+
- type: mrr_at_1000
|
| 515 |
+
value: 22.207
|
| 516 |
+
- type: mrr_at_3
|
| 517 |
+
value: 18.843
|
| 518 |
+
- type: mrr_at_5
|
| 519 |
+
value: 20.236
|
| 520 |
+
- type: ndcg_at_1
|
| 521 |
+
value: 13.557
|
| 522 |
+
- type: ndcg_at_10
|
| 523 |
+
value: 21.571
|
| 524 |
+
- type: ndcg_at_100
|
| 525 |
+
value: 27.678000000000004
|
| 526 |
+
- type: ndcg_at_1000
|
| 527 |
+
value: 30.8
|
| 528 |
+
- type: ndcg_at_3
|
| 529 |
+
value: 17.922
|
| 530 |
+
- type: ndcg_at_5
|
| 531 |
+
value: 19.826
|
| 532 |
+
- type: precision_at_1
|
| 533 |
+
value: 13.557
|
| 534 |
+
- type: precision_at_10
|
| 535 |
+
value: 4.1290000000000004
|
| 536 |
+
- type: precision_at_100
|
| 537 |
+
value: 0.8370000000000001
|
| 538 |
+
- type: precision_at_1000
|
| 539 |
+
value: 0.125
|
| 540 |
+
- type: precision_at_3
|
| 541 |
+
value: 8.914
|
| 542 |
+
- type: precision_at_5
|
| 543 |
+
value: 6.691999999999999
|
| 544 |
+
- type: recall_at_1
|
| 545 |
+
value: 11.087
|
| 546 |
+
- type: recall_at_10
|
| 547 |
+
value: 30.94
|
| 548 |
+
- type: recall_at_100
|
| 549 |
+
value: 57.833999999999996
|
| 550 |
+
- type: recall_at_1000
|
| 551 |
+
value: 80.365
|
| 552 |
+
- type: recall_at_3
|
| 553 |
+
value: 20.854
|
| 554 |
+
- type: recall_at_5
|
| 555 |
+
value: 25.695
|
| 556 |
+
- task:
|
| 557 |
+
type: Retrieval
|
| 558 |
+
dataset:
|
| 559 |
+
type: BeIR/cqadupstack
|
| 560 |
+
name: MTEB CQADupstackPhysicsRetrieval
|
| 561 |
+
config: default
|
| 562 |
+
split: test
|
| 563 |
+
revision: None
|
| 564 |
+
metrics:
|
| 565 |
+
- type: map_at_1
|
| 566 |
+
value: 21.708
|
| 567 |
+
- type: map_at_10
|
| 568 |
+
value: 30.422
|
| 569 |
+
- type: map_at_100
|
| 570 |
+
value: 31.713
|
| 571 |
+
- type: map_at_1000
|
| 572 |
+
value: 31.842
|
| 573 |
+
- type: map_at_3
|
| 574 |
+
value: 27.424
|
| 575 |
+
- type: map_at_5
|
| 576 |
+
value: 29.17
|
| 577 |
+
- type: mrr_at_1
|
| 578 |
+
value: 26.756
|
| 579 |
+
- type: mrr_at_10
|
| 580 |
+
value: 35.304
|
| 581 |
+
- type: mrr_at_100
|
| 582 |
+
value: 36.296
|
| 583 |
+
- type: mrr_at_1000
|
| 584 |
+
value: 36.359
|
| 585 |
+
- type: mrr_at_3
|
| 586 |
+
value: 32.692
|
| 587 |
+
- type: mrr_at_5
|
| 588 |
+
value: 34.288999999999994
|
| 589 |
+
- type: ndcg_at_1
|
| 590 |
+
value: 26.756
|
| 591 |
+
- type: ndcg_at_10
|
| 592 |
+
value: 35.876000000000005
|
| 593 |
+
- type: ndcg_at_100
|
| 594 |
+
value: 41.708
|
| 595 |
+
- type: ndcg_at_1000
|
| 596 |
+
value: 44.359
|
| 597 |
+
- type: ndcg_at_3
|
| 598 |
+
value: 30.946
|
| 599 |
+
- type: ndcg_at_5
|
| 600 |
+
value: 33.404
|
| 601 |
+
- type: precision_at_1
|
| 602 |
+
value: 26.756
|
| 603 |
+
- type: precision_at_10
|
| 604 |
+
value: 6.795
|
| 605 |
+
- type: precision_at_100
|
| 606 |
+
value: 1.138
|
| 607 |
+
- type: precision_at_1000
|
| 608 |
+
value: 0.155
|
| 609 |
+
- type: precision_at_3
|
| 610 |
+
value: 15.046999999999999
|
| 611 |
+
- type: precision_at_5
|
| 612 |
+
value: 10.972
|
| 613 |
+
- type: recall_at_1
|
| 614 |
+
value: 21.708
|
| 615 |
+
- type: recall_at_10
|
| 616 |
+
value: 47.315000000000005
|
| 617 |
+
- type: recall_at_100
|
| 618 |
+
value: 72.313
|
| 619 |
+
- type: recall_at_1000
|
| 620 |
+
value: 90.199
|
| 621 |
+
- type: recall_at_3
|
| 622 |
+
value: 33.528999999999996
|
| 623 |
+
- type: recall_at_5
|
| 624 |
+
value: 39.985
|
| 625 |
+
- task:
|
| 626 |
+
type: Retrieval
|
| 627 |
+
dataset:
|
| 628 |
+
type: BeIR/cqadupstack
|
| 629 |
+
name: MTEB CQADupstackProgrammersRetrieval
|
| 630 |
+
config: default
|
| 631 |
+
split: test
|
| 632 |
+
revision: None
|
| 633 |
+
metrics:
|
| 634 |
+
- type: map_at_1
|
| 635 |
+
value: 18.902
|
| 636 |
+
- type: map_at_10
|
| 637 |
+
value: 26.166
|
| 638 |
+
- type: map_at_100
|
| 639 |
+
value: 27.368
|
| 640 |
+
- type: map_at_1000
|
| 641 |
+
value: 27.493000000000002
|
| 642 |
+
- type: map_at_3
|
| 643 |
+
value: 23.505000000000003
|
| 644 |
+
- type: map_at_5
|
| 645 |
+
value: 25.019000000000002
|
| 646 |
+
- type: mrr_at_1
|
| 647 |
+
value: 23.402
|
| 648 |
+
- type: mrr_at_10
|
| 649 |
+
value: 30.787
|
| 650 |
+
- type: mrr_at_100
|
| 651 |
+
value: 31.735000000000003
|
| 652 |
+
- type: mrr_at_1000
|
| 653 |
+
value: 31.806
|
| 654 |
+
- type: mrr_at_3
|
| 655 |
+
value: 28.33
|
| 656 |
+
- type: mrr_at_5
|
| 657 |
+
value: 29.711
|
| 658 |
+
- type: ndcg_at_1
|
| 659 |
+
value: 23.402
|
| 660 |
+
- type: ndcg_at_10
|
| 661 |
+
value: 30.971
|
| 662 |
+
- type: ndcg_at_100
|
| 663 |
+
value: 36.61
|
| 664 |
+
- type: ndcg_at_1000
|
| 665 |
+
value: 39.507999999999996
|
| 666 |
+
- type: ndcg_at_3
|
| 667 |
+
value: 26.352999999999998
|
| 668 |
+
- type: ndcg_at_5
|
| 669 |
+
value: 28.488000000000003
|
| 670 |
+
- type: precision_at_1
|
| 671 |
+
value: 23.402
|
| 672 |
+
- type: precision_at_10
|
| 673 |
+
value: 5.799
|
| 674 |
+
- type: precision_at_100
|
| 675 |
+
value: 1
|
| 676 |
+
- type: precision_at_1000
|
| 677 |
+
value: 0.14100000000000001
|
| 678 |
+
- type: precision_at_3
|
| 679 |
+
value: 12.633
|
| 680 |
+
- type: precision_at_5
|
| 681 |
+
value: 9.269
|
| 682 |
+
- type: recall_at_1
|
| 683 |
+
value: 18.902
|
| 684 |
+
- type: recall_at_10
|
| 685 |
+
value: 40.929
|
| 686 |
+
- type: recall_at_100
|
| 687 |
+
value: 65.594
|
| 688 |
+
- type: recall_at_1000
|
| 689 |
+
value: 85.961
|
| 690 |
+
- type: recall_at_3
|
| 691 |
+
value: 28.121000000000002
|
| 692 |
+
- type: recall_at_5
|
| 693 |
+
value: 33.638
|
| 694 |
+
- task:
|
| 695 |
+
type: Retrieval
|
| 696 |
+
dataset:
|
| 697 |
+
type: BeIR/cqadupstack
|
| 698 |
+
name: MTEB CQADupstackStatsRetrieval
|
| 699 |
+
config: default
|
| 700 |
+
split: test
|
| 701 |
+
revision: None
|
| 702 |
+
metrics:
|
| 703 |
+
- type: map_at_1
|
| 704 |
+
value: 19.168
|
| 705 |
+
- type: map_at_10
|
| 706 |
+
value: 25.142999999999997
|
| 707 |
+
- type: map_at_100
|
| 708 |
+
value: 25.993
|
| 709 |
+
- type: map_at_1000
|
| 710 |
+
value: 26.076
|
| 711 |
+
- type: map_at_3
|
| 712 |
+
value: 23.179
|
| 713 |
+
- type: map_at_5
|
| 714 |
+
value: 24.322
|
| 715 |
+
- type: mrr_at_1
|
| 716 |
+
value: 21.933
|
| 717 |
+
- type: mrr_at_10
|
| 718 |
+
value: 27.72
|
| 719 |
+
- type: mrr_at_100
|
| 720 |
+
value: 28.518
|
| 721 |
+
- type: mrr_at_1000
|
| 722 |
+
value: 28.582
|
| 723 |
+
- type: mrr_at_3
|
| 724 |
+
value: 25.791999999999998
|
| 725 |
+
- type: mrr_at_5
|
| 726 |
+
value: 26.958
|
| 727 |
+
- type: ndcg_at_1
|
| 728 |
+
value: 21.933
|
| 729 |
+
- type: ndcg_at_10
|
| 730 |
+
value: 28.866999999999997
|
| 731 |
+
- type: ndcg_at_100
|
| 732 |
+
value: 33.285
|
| 733 |
+
- type: ndcg_at_1000
|
| 734 |
+
value: 35.591
|
| 735 |
+
- type: ndcg_at_3
|
| 736 |
+
value: 25.202999999999996
|
| 737 |
+
- type: ndcg_at_5
|
| 738 |
+
value: 27.045
|
| 739 |
+
- type: precision_at_1
|
| 740 |
+
value: 21.933
|
| 741 |
+
- type: precision_at_10
|
| 742 |
+
value: 4.632
|
| 743 |
+
- type: precision_at_100
|
| 744 |
+
value: 0.733
|
| 745 |
+
- type: precision_at_1000
|
| 746 |
+
value: 0.101
|
| 747 |
+
- type: precision_at_3
|
| 748 |
+
value: 10.992
|
| 749 |
+
- type: precision_at_5
|
| 750 |
+
value: 7.853000000000001
|
| 751 |
+
- type: recall_at_1
|
| 752 |
+
value: 19.168
|
| 753 |
+
- type: recall_at_10
|
| 754 |
+
value: 37.899
|
| 755 |
+
- type: recall_at_100
|
| 756 |
+
value: 58.54899999999999
|
| 757 |
+
- type: recall_at_1000
|
| 758 |
+
value: 75.666
|
| 759 |
+
- type: recall_at_3
|
| 760 |
+
value: 27.831
|
| 761 |
+
- type: recall_at_5
|
| 762 |
+
value: 32.336
|
| 763 |
+
- task:
|
| 764 |
+
type: Retrieval
|
| 765 |
+
dataset:
|
| 766 |
+
type: BeIR/cqadupstack
|
| 767 |
+
name: MTEB CQADupstackTexRetrieval
|
| 768 |
+
config: default
|
| 769 |
+
split: test
|
| 770 |
+
revision: None
|
| 771 |
+
metrics:
|
| 772 |
+
- type: map_at_1
|
| 773 |
+
value: 12.764000000000001
|
| 774 |
+
- type: map_at_10
|
| 775 |
+
value: 17.757
|
| 776 |
+
- type: map_at_100
|
| 777 |
+
value: 18.677
|
| 778 |
+
- type: map_at_1000
|
| 779 |
+
value: 18.813
|
| 780 |
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- type: map_at_3
|
| 781 |
+
value: 16.151
|
| 782 |
+
- type: map_at_5
|
| 783 |
+
value: 16.946
|
| 784 |
+
- type: mrr_at_1
|
| 785 |
+
value: 15.726
|
| 786 |
+
- type: mrr_at_10
|
| 787 |
+
value: 21.019
|
| 788 |
+
- type: mrr_at_100
|
| 789 |
+
value: 21.856
|
| 790 |
+
- type: mrr_at_1000
|
| 791 |
+
value: 21.954
|
| 792 |
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- type: mrr_at_3
|
| 793 |
+
value: 19.282
|
| 794 |
+
- type: mrr_at_5
|
| 795 |
+
value: 20.189
|
| 796 |
+
- type: ndcg_at_1
|
| 797 |
+
value: 15.726
|
| 798 |
+
- type: ndcg_at_10
|
| 799 |
+
value: 21.259
|
| 800 |
+
- type: ndcg_at_100
|
| 801 |
+
value: 25.868999999999996
|
| 802 |
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- type: ndcg_at_1000
|
| 803 |
+
value: 29.425
|
| 804 |
+
- type: ndcg_at_3
|
| 805 |
+
value: 18.204
|
| 806 |
+
- type: ndcg_at_5
|
| 807 |
+
value: 19.434
|
| 808 |
+
- type: precision_at_1
|
| 809 |
+
value: 15.726
|
| 810 |
+
- type: precision_at_10
|
| 811 |
+
value: 3.8920000000000003
|
| 812 |
+
- type: precision_at_100
|
| 813 |
+
value: 0.741
|
| 814 |
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- type: precision_at_1000
|
| 815 |
+
value: 0.121
|
| 816 |
+
- type: precision_at_3
|
| 817 |
+
value: 8.58
|
| 818 |
+
- type: precision_at_5
|
| 819 |
+
value: 6.132
|
| 820 |
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- type: recall_at_1
|
| 821 |
+
value: 12.764000000000001
|
| 822 |
+
- type: recall_at_10
|
| 823 |
+
value: 28.639
|
| 824 |
+
- type: recall_at_100
|
| 825 |
+
value: 49.639
|
| 826 |
+
- type: recall_at_1000
|
| 827 |
+
value: 75.725
|
| 828 |
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- type: recall_at_3
|
| 829 |
+
value: 19.883
|
| 830 |
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- type: recall_at_5
|
| 831 |
+
value: 23.141000000000002
|
| 832 |
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- task:
|
| 833 |
+
type: Retrieval
|
| 834 |
+
dataset:
|
| 835 |
+
type: BeIR/cqadupstack
|
| 836 |
+
name: MTEB CQADupstackUnixRetrieval
|
| 837 |
+
config: default
|
| 838 |
+
split: test
|
| 839 |
+
revision: None
|
| 840 |
+
metrics:
|
| 841 |
+
- type: map_at_1
|
| 842 |
+
value: 18.98
|
| 843 |
+
- type: map_at_10
|
| 844 |
+
value: 25.2
|
| 845 |
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- type: map_at_100
|
| 846 |
+
value: 26.279000000000003
|
| 847 |
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- type: map_at_1000
|
| 848 |
+
value: 26.399
|
| 849 |
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- type: map_at_3
|
| 850 |
+
value: 23.399
|
| 851 |
+
- type: map_at_5
|
| 852 |
+
value: 24.284
|
| 853 |
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- type: mrr_at_1
|
| 854 |
+
value: 22.015
|
| 855 |
+
- type: mrr_at_10
|
| 856 |
+
value: 28.555000000000003
|
| 857 |
+
- type: mrr_at_100
|
| 858 |
+
value: 29.497
|
| 859 |
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- type: mrr_at_1000
|
| 860 |
+
value: 29.574
|
| 861 |
+
- type: mrr_at_3
|
| 862 |
+
value: 26.788
|
| 863 |
+
- type: mrr_at_5
|
| 864 |
+
value: 27.576
|
| 865 |
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- type: ndcg_at_1
|
| 866 |
+
value: 22.015
|
| 867 |
+
- type: ndcg_at_10
|
| 868 |
+
value: 29.266
|
| 869 |
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- type: ndcg_at_100
|
| 870 |
+
value: 34.721000000000004
|
| 871 |
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- type: ndcg_at_1000
|
| 872 |
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value: 37.659
|
| 873 |
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- type: ndcg_at_3
|
| 874 |
+
value: 25.741000000000003
|
| 875 |
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- type: ndcg_at_5
|
| 876 |
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value: 27.044
|
| 877 |
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- type: precision_at_1
|
| 878 |
+
value: 22.015
|
| 879 |
+
- type: precision_at_10
|
| 880 |
+
value: 4.897
|
| 881 |
+
- type: precision_at_100
|
| 882 |
+
value: 0.8540000000000001
|
| 883 |
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- type: precision_at_1000
|
| 884 |
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value: 0.122
|
| 885 |
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- type: precision_at_3
|
| 886 |
+
value: 11.567
|
| 887 |
+
- type: precision_at_5
|
| 888 |
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value: 7.9479999999999995
|
| 889 |
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- type: recall_at_1
|
| 890 |
+
value: 18.98
|
| 891 |
+
- type: recall_at_10
|
| 892 |
+
value: 38.411
|
| 893 |
+
- type: recall_at_100
|
| 894 |
+
value: 63.164
|
| 895 |
+
- type: recall_at_1000
|
| 896 |
+
value: 84.292
|
| 897 |
+
- type: recall_at_3
|
| 898 |
+
value: 28.576
|
| 899 |
+
- type: recall_at_5
|
| 900 |
+
value: 31.789
|
| 901 |
+
- task:
|
| 902 |
+
type: Retrieval
|
| 903 |
+
dataset:
|
| 904 |
+
type: BeIR/cqadupstack
|
| 905 |
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name: MTEB CQADupstackWebmastersRetrieval
|
| 906 |
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config: default
|
| 907 |
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split: test
|
| 908 |
+
revision: None
|
| 909 |
+
metrics:
|
| 910 |
+
- type: map_at_1
|
| 911 |
+
value: 20.372
|
| 912 |
+
- type: map_at_10
|
| 913 |
+
value: 27.161
|
| 914 |
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- type: map_at_100
|
| 915 |
+
value: 28.364
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| 916 |
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- type: map_at_1000
|
| 917 |
+
value: 28.554000000000002
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| 918 |
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- type: map_at_3
|
| 919 |
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value: 25.135
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| 920 |
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- type: map_at_5
|
| 921 |
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value: 26.200000000000003
|
| 922 |
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- type: mrr_at_1
|
| 923 |
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value: 24.704
|
| 924 |
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- type: mrr_at_10
|
| 925 |
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value: 31.219
|
| 926 |
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- type: mrr_at_100
|
| 927 |
+
value: 32.092
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| 928 |
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- type: mrr_at_1000
|
| 929 |
+
value: 32.181
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| 930 |
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- type: mrr_at_3
|
| 931 |
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value: 29.282000000000004
|
| 932 |
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- type: mrr_at_5
|
| 933 |
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value: 30.359
|
| 934 |
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- type: ndcg_at_1
|
| 935 |
+
value: 24.704
|
| 936 |
+
- type: ndcg_at_10
|
| 937 |
+
value: 31.622
|
| 938 |
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- type: ndcg_at_100
|
| 939 |
+
value: 36.917
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| 940 |
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- type: ndcg_at_1000
|
| 941 |
+
value: 40.357
|
| 942 |
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- type: ndcg_at_3
|
| 943 |
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value: 28.398
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| 944 |
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- type: ndcg_at_5
|
| 945 |
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value: 29.764000000000003
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| 946 |
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- type: precision_at_1
|
| 947 |
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value: 24.704
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| 948 |
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- type: precision_at_10
|
| 949 |
+
value: 5.81
|
| 950 |
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- type: precision_at_100
|
| 951 |
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value: 1.208
|
| 952 |
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- type: precision_at_1000
|
| 953 |
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value: 0.209
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| 954 |
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- type: precision_at_3
|
| 955 |
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value: 13.241
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| 956 |
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- type: precision_at_5
|
| 957 |
+
value: 9.407
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| 958 |
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- type: recall_at_1
|
| 959 |
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value: 20.372
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| 960 |
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- type: recall_at_10
|
| 961 |
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value: 40.053
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| 962 |
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- type: recall_at_100
|
| 963 |
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value: 64.71000000000001
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| 964 |
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- type: recall_at_1000
|
| 965 |
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value: 87.607
|
| 966 |
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- type: recall_at_3
|
| 967 |
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value: 29.961
|
| 968 |
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- type: recall_at_5
|
| 969 |
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value: 34.058
|
| 970 |
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- task:
|
| 971 |
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type: Retrieval
|
| 972 |
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dataset:
|
| 973 |
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type: BeIR/cqadupstack
|
| 974 |
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name: MTEB CQADupstackWordpressRetrieval
|
| 975 |
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config: default
|
| 976 |
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split: test
|
| 977 |
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revision: None
|
| 978 |
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metrics:
|
| 979 |
+
- type: map_at_1
|
| 980 |
+
value: 14.424000000000001
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| 981 |
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- type: map_at_10
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| 982 |
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value: 20.541999999999998
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| 983 |
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- type: map_at_100
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| 984 |
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value: 21.495
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| 985 |
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- type: map_at_1000
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| 986 |
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value: 21.604
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| 987 |
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- type: map_at_3
|
| 988 |
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value: 18.608
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| 989 |
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- type: map_at_5
|
| 990 |
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value: 19.783
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| 991 |
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- type: mrr_at_1
|
| 992 |
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value: 15.895999999999999
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| 993 |
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- type: mrr_at_10
|
| 994 |
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value: 22.484
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| 995 |
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- type: mrr_at_100
|
| 996 |
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value: 23.376
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| 997 |
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- type: mrr_at_1000
|
| 998 |
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value: 23.467
|
| 999 |
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- type: mrr_at_3
|
| 1000 |
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value: 20.548
|
| 1001 |
+
- type: mrr_at_5
|
| 1002 |
+
value: 21.731
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| 1003 |
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- type: ndcg_at_1
|
| 1004 |
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value: 15.895999999999999
|
| 1005 |
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- type: ndcg_at_10
|
| 1006 |
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value: 24.343
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| 1007 |
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- type: ndcg_at_100
|
| 1008 |
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value: 29.181
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| 1009 |
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- type: ndcg_at_1000
|
| 1010 |
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value: 32.330999999999996
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| 1011 |
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- type: ndcg_at_3
|
| 1012 |
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value: 20.518
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| 1013 |
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- type: ndcg_at_5
|
| 1014 |
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value: 22.561999999999998
|
| 1015 |
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- type: precision_at_1
|
| 1016 |
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value: 15.895999999999999
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| 1017 |
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- type: precision_at_10
|
| 1018 |
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value: 3.9739999999999998
|
| 1019 |
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- type: precision_at_100
|
| 1020 |
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value: 0.6799999999999999
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| 1021 |
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- type: precision_at_1000
|
| 1022 |
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value: 0.105
|
| 1023 |
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- type: precision_at_3
|
| 1024 |
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value: 9.057
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| 1025 |
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- type: precision_at_5
|
| 1026 |
+
value: 6.654
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| 1027 |
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- type: recall_at_1
|
| 1028 |
+
value: 14.424000000000001
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| 1029 |
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- type: recall_at_10
|
| 1030 |
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value: 34.079
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| 1031 |
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- type: recall_at_100
|
| 1032 |
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value: 56.728
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| 1033 |
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- type: recall_at_1000
|
| 1034 |
+
value: 80.765
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| 1035 |
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- type: recall_at_3
|
| 1036 |
+
value: 23.993000000000002
|
| 1037 |
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- type: recall_at_5
|
| 1038 |
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value: 28.838
|
| 1039 |
- task:
|
| 1040 |
type: Classification
|
| 1041 |
dataset:
|
|
|
|
| 1116 |
value: 74.54270342972428
|
| 1117 |
- type: f1
|
| 1118 |
value: 74.02802500235784
|
| 1119 |
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- task:
|
| 1120 |
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type: Clustering
|
| 1121 |
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dataset:
|
| 1122 |
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type: mteb/medrxiv-clustering-p2p
|
| 1123 |
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name: MTEB MedrxivClusteringP2P
|
| 1124 |
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config: default
|
| 1125 |
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split: test
|
| 1126 |
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revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
|
| 1127 |
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metrics:
|
| 1128 |
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- type: v_measure
|
| 1129 |
+
value: 30.488580544269002
|
| 1130 |
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- task:
|
| 1131 |
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type: Clustering
|
| 1132 |
+
dataset:
|
| 1133 |
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type: mteb/medrxiv-clustering-s2s
|
| 1134 |
+
name: MTEB MedrxivClusteringS2S
|
| 1135 |
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config: default
|
| 1136 |
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split: test
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| 1137 |
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revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
|
| 1138 |
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metrics:
|
| 1139 |
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- type: v_measure
|
| 1140 |
+
value: 28.80426879476371
|
| 1141 |
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- task:
|
| 1142 |
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type: Clustering
|
| 1143 |
+
dataset:
|
| 1144 |
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type: mteb/reddit-clustering
|
| 1145 |
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name: MTEB RedditClustering
|
| 1146 |
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config: default
|
| 1147 |
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split: test
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| 1148 |
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revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
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| 1149 |
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metrics:
|
| 1150 |
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- type: v_measure
|
| 1151 |
+
value: 42.862710845031565
|
| 1152 |
+
- task:
|
| 1153 |
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type: Clustering
|
| 1154 |
+
dataset:
|
| 1155 |
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type: mteb/reddit-clustering-p2p
|
| 1156 |
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name: MTEB RedditClusteringP2P
|
| 1157 |
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config: default
|
| 1158 |
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split: test
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| 1159 |
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revision: 282350215ef01743dc01b456c7f5241fa8937f16
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| 1160 |
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metrics:
|
| 1161 |
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- type: v_measure
|
| 1162 |
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value: 54.270000736385626
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| 1163 |
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|
| 1164 |
type: STS
|
| 1165 |
dataset:
|
|
|
|
| 1349 |
value: 82.9630328314908
|
| 1350 |
- type: manhattan_spearman
|
| 1351 |
value: 82.13726553603003
|
| 1352 |
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- task:
|
| 1353 |
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type: Reranking
|
| 1354 |
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dataset:
|
| 1355 |
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type: mteb/scidocs-reranking
|
| 1356 |
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name: MTEB SciDocsRR
|
| 1357 |
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config: default
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| 1358 |
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split: test
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| 1359 |
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revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
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| 1360 |
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metrics:
|
| 1361 |
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- type: map
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| 1362 |
+
value: 79.45753132898741
|
| 1363 |
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- type: mrr
|
| 1364 |
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value: 93.84029822755313
|
| 1365 |
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|
| 1366 |
type: PairClassification
|
| 1367 |
dataset:
|
|
|
|
| 1417 |
value: 94.58629018512772
|
| 1418 |
- type: max_f1
|
| 1419 |
value: 90.02531645569621
|
| 1420 |
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- task:
|
| 1421 |
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type: Clustering
|
| 1422 |
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dataset:
|
| 1423 |
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type: mteb/stackexchange-clustering
|
| 1424 |
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name: MTEB StackExchangeClustering
|
| 1425 |
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config: default
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| 1426 |
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split: test
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| 1427 |
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revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
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| 1428 |
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metrics:
|
| 1429 |
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- type: v_measure
|
| 1430 |
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value: 53.088941385715735
|
| 1431 |
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- task:
|
| 1432 |
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type: Clustering
|
| 1433 |
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dataset:
|
| 1434 |
+
type: mteb/stackexchange-clustering-p2p
|
| 1435 |
+
name: MTEB StackExchangeClusteringP2P
|
| 1436 |
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config: default
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| 1437 |
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split: test
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| 1438 |
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revision: 815ca46b2622cec33ccafc3735d572c266efdb44
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| 1439 |
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metrics:
|
| 1440 |
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- type: v_measure
|
| 1441 |
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value: 33.146129414825744
|
| 1442 |
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- task:
|
| 1443 |
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type: Reranking
|
| 1444 |
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dataset:
|
| 1445 |
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type: mteb/stackoverflowdupquestions-reranking
|
| 1446 |
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name: MTEB StackOverflowDupQuestions
|
| 1447 |
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config: default
|
| 1448 |
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split: test
|
| 1449 |
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revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
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| 1450 |
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metrics:
|
| 1451 |
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- type: map
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| 1452 |
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value: 48.7511362739003
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| 1453 |
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- type: mrr
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| 1454 |
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value: 49.61682210763093
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| 1455 |
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|
| 1456 |
type: Classification
|
| 1457 |
dataset:
|
|
|
|
| 1480 |
value: 57.475947934352
|
| 1481 |
- type: f1
|
| 1482 |
value: 57.77676730676238
|
| 1483 |
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- task:
|
| 1484 |
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type: Clustering
|
| 1485 |
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dataset:
|
| 1486 |
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type: mteb/twentynewsgroups-clustering
|
| 1487 |
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name: MTEB TwentyNewsgroupsClustering
|
| 1488 |
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config: default
|
| 1489 |
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split: test
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| 1490 |
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revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
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| 1491 |
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metrics:
|
| 1492 |
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- type: v_measure
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| 1493 |
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value: 38.3463456299738
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| 1494 |
- task:
|
| 1495 |
type: PairClassification
|
| 1496 |
dataset:
|
|
|
|
| 1605 |
language:
|
| 1606 |
- en
|
| 1607 |
---
|
| 1608 |
+
|
| 1609 |
This is the sparse ONNX variant of the [bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) embeddings model created with [DeepSparse Optimum](https://github.com/neuralmagic/optimum-deepsparse) for ONNX export and Neural Magic's [Sparsify](https://github.com/neuralmagic/sparsify) for One-Shot quantization and unstructured pruning (50%).
|
| 1610 |
|
| 1611 |
Current up-to-date list of sparse and quantized bge ONNX models:
|