sparse-encoder/example-splade-distilbert-base-uncased-gooaq
018
1---2language:3- en4license: apache-2.05tags:6- sentence-transformers7- sparse-encoder8- sparse9- splade10- generated_from_trainer11- dataset_size:9900012- loss:SpladeLoss13- loss:SparseMultipleNegativesRankingLoss14- loss:FlopsLoss15base_model: distilbert/distilbert-base-uncased16widget:17- text: 'The term emergent literacy signals a belief that, in a literate society,18 young children even one and two year olds, are in the process of becoming literate”.19 ... Gray (1956:21) notes: Functional literacy is used for the training of adults20 to ''meet independently the reading and writing demands placed on them''.'21- text: Rey is seemingly confirmed as being The Chosen One per a quote by a Lucasfilm22 production designer who worked on The Rise of Skywalker.23- text: are union gun safes fireproof?24- text: Fruit is an essential part of a healthy diet — and may aid weight loss. Most25 fruits are low in calories while high in nutrients and fiber, which can boost26 your fullness. Keep in mind that it's best to eat fruits whole rather than juiced.27 What's more, simply eating fruit is not the key to weight loss.28- text: Treatment of suspected bacterial infection is with antibiotics, such as amoxicillin/clavulanate29 or doxycycline, given for 5 to 7 days for acute sinusitis and for up to 6 weeks30 for chronic sinusitis.31datasets:32- sentence-transformers/gooaq33pipeline_tag: feature-extraction34library_name: sentence-transformers35metrics:36- dot_accuracy@137- dot_accuracy@338- dot_accuracy@539- dot_accuracy@1040- dot_precision@141- dot_precision@342- dot_precision@543- dot_precision@1044- dot_recall@145- dot_recall@346- dot_recall@547- dot_recall@1048- dot_ndcg@1049- dot_mrr@1050- dot_map@10051- query_active_dims52- query_sparsity_ratio53- corpus_active_dims54- corpus_sparsity_ratio55co2_eq_emissions:56 emissions: 1.088187058272309257 energy_consumed: 0.01941838823448507558 source: codecarbon59 training_type: fine-tuning60 on_cloud: false61 cpu_model: AMD Ryzen 9 6900HX with Radeon Graphics62 ram_total_size: 30.611450195312563 hours_used: 0.17464 hardware_used: 1 x NVIDIA GeForce RTX 3070 Ti Laptop GPU65model-index:66- name: splade-distilbert-base-uncased trained on GooAQ67 results:68 - task:69 type: sparse-information-retrieval70 name: Sparse Information Retrieval71 dataset:72 name: NanoMSMARCO73 type: NanoMSMARCO74 metrics:75 - type: dot_accuracy@176 value: 0.2277 name: Dot Accuracy@178 - type: dot_accuracy@379 value: 0.4680 name: Dot Accuracy@381 - type: dot_accuracy@582 value: 0.5483 name: Dot Accuracy@584 - type: dot_accuracy@1085 value: 0.786 name: Dot Accuracy@1087 - type: dot_precision@188 value: 0.2289 name: Dot Precision@190 - type: dot_precision@391 value: 0.1533333333333333292 name: Dot Precision@393 - type: dot_precision@594 value: 0.1080000000000000195 name: Dot Precision@596 - type: dot_precision@1097 value: 0.0798 name: Dot Precision@1099 - type: dot_recall@1100 value: 0.22101 name: Dot Recall@1102 - type: dot_recall@3103 value: 0.46104 name: Dot Recall@3105 - type: dot_recall@5106 value: 0.54107 name: Dot Recall@5108 - type: dot_recall@10109 value: 0.7110 name: Dot Recall@10111 - type: dot_ndcg@10112 value: 0.44470504856183124113 name: Dot Ndcg@10114 - type: dot_mrr@10115 value: 0.3652460317460317116 name: Dot Mrr@10117 - type: dot_map@100118 value: 0.37928248813494486119 name: Dot Map@100120 - type: query_active_dims121 value: 125.86000061035156122 name: Query Active Dims123 - type: query_sparsity_ratio124 value: 0.9958764169906837125 name: Query Sparsity Ratio126 - type: corpus_active_dims127 value: 296.2349853515625128 name: Corpus Active Dims129 - type: corpus_sparsity_ratio130 value: 0.9902943783057611131 name: Corpus Sparsity Ratio132 - type: dot_accuracy@1133 value: 0.24134 name: Dot Accuracy@1135 - type: dot_accuracy@3136 value: 0.5137 name: Dot Accuracy@3138 - type: dot_accuracy@5139 value: 0.58140 name: Dot Accuracy@5141 - type: dot_accuracy@10142 value: 0.72143 name: Dot Accuracy@10144 - type: dot_precision@1145 value: 0.24146 name: Dot Precision@1147 - type: dot_precision@3148 value: 0.16666666666666663149 name: Dot Precision@3150 - type: dot_precision@5151 value: 0.11600000000000002152 name: Dot Precision@5153 - type: dot_precision@10154 value: 0.07200000000000001155 name: Dot Precision@10156 - type: dot_recall@1157 value: 0.24158 name: Dot Recall@1159 - type: dot_recall@3160 value: 0.5161 name: Dot Recall@3162 - type: dot_recall@5163 value: 0.58164 name: Dot Recall@5165 - type: dot_recall@10166 value: 0.72167 name: Dot Recall@10168 - type: dot_ndcg@10169 value: 0.47847271089832977170 name: Dot Ndcg@10171 - type: dot_mrr@10172 value: 0.40169047619047615173 name: Dot Mrr@10174 - type: dot_map@100175 value: 0.4140044816294816176 name: Dot Map@100177 - type: query_active_dims178 value: 109.69999694824219179 name: Query Active Dims180 - type: query_sparsity_ratio181 value: 0.9964058712748758182 name: Query Sparsity Ratio183 - type: corpus_active_dims184 value: 265.6180725097656185 name: Corpus Active Dims186 - type: corpus_sparsity_ratio187 value: 0.9912974879591847188 name: Corpus Sparsity Ratio189 - task:190 type: sparse-information-retrieval191 name: Sparse Information Retrieval192 dataset:193 name: NanoNFCorpus194 type: NanoNFCorpus195 metrics:196 - type: dot_accuracy@1197 value: 0.36198 name: Dot Accuracy@1199 - 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type: query_active_dims242 value: 160.10000610351562243 name: Query Active Dims244 - type: query_sparsity_ratio245 value: 0.9947546030370383246 name: Query Sparsity Ratio247 - type: corpus_active_dims248 value: 409.76904296875249 name: Corpus Active Dims250 - type: corpus_sparsity_ratio251 value: 0.986574633281936252 name: Corpus Sparsity Ratio253 - type: dot_accuracy@1254 value: 0.38255 name: Dot Accuracy@1256 - type: dot_accuracy@3257 value: 0.5258 name: Dot Accuracy@3259 - type: dot_accuracy@5260 value: 0.52261 name: Dot Accuracy@5262 - type: dot_accuracy@10263 value: 0.66264 name: Dot Accuracy@10265 - type: dot_precision@1266 value: 0.38267 name: Dot Precision@1268 - type: dot_precision@3269 value: 0.29333333333333333270 name: Dot Precision@3271 - type: dot_precision@5272 value: 0.268273 name: Dot Precision@5274 - type: dot_precision@10275 value: 0.22799999999999998276 name: Dot Precision@10277 - type: dot_recall@1278 value: 0.03979891140267026279 name: Dot Recall@1280 - type: dot_recall@3281 value: 0.05843303142773433282 name: Dot Recall@3283 - type: dot_recall@5284 value: 0.07656018207627424285 name: Dot Recall@5286 - type: dot_recall@10287 value: 0.10998150964383814288 name: Dot Recall@10289 - type: dot_ndcg@10290 value: 0.28162049888840096291 name: Dot Ndcg@10292 - type: dot_mrr@10293 value: 0.4571904761904762294 name: Dot Mrr@10295 - type: dot_map@100296 value: 0.11433559983443616297 name: Dot Map@100298 - type: query_active_dims299 value: 140.05999755859375300 name: Query Active Dims301 - type: query_sparsity_ratio302 value: 0.9954111789018218303 name: Query Sparsity Ratio304 - type: corpus_active_dims305 value: 371.9038391113281306 name: Corpus Active Dims307 - type: corpus_sparsity_ratio308 value: 0.9878152205258068309 name: Corpus Sparsity Ratio310 - task:311 type: sparse-information-retrieval312 name: Sparse Information Retrieval313 dataset:314 name: NanoNQ315 type: NanoNQ316 metrics:317 - type: dot_accuracy@1318 value: 0.32319 name: Dot Accuracy@1320 - type: dot_accuracy@3321 value: 0.54322 name: Dot Accuracy@3323 - type: dot_accuracy@5324 value: 0.64325 name: Dot Accuracy@5326 - type: dot_accuracy@10327 value: 0.74328 name: Dot Accuracy@10329 - type: dot_precision@1330 value: 0.32331 name: Dot Precision@1332 - type: dot_precision@3333 value: 0.18334 name: Dot Precision@3335 - type: dot_precision@5336 value: 0.136337 name: Dot Precision@5338 - type: dot_precision@10339 value: 0.08340 name: Dot Precision@10341 - type: dot_recall@1342 value: 0.3343 name: Dot Recall@1344 - type: dot_recall@3345 value: 0.5346 name: Dot Recall@3347 - type: dot_recall@5348 value: 0.62349 name: Dot Recall@5350 - type: dot_recall@10351 value: 0.7352 name: Dot Recall@10353 - type: dot_ndcg@10354 value: 0.5013957867971872355 name: Dot Ndcg@10356 - type: dot_mrr@10357 value: 0.4491904761904762358 name: Dot Mrr@10359 - type: dot_map@100360 value: 0.44262111936629595361 name: Dot Map@100362 - type: query_active_dims363 value: 128.39999389648438364 name: Query Active Dims365 - type: query_sparsity_ratio366 value: 0.9957931985487031367 name: Query Sparsity Ratio368 - type: corpus_active_dims369 value: 359.4007873535156370 name: Corpus Active Dims371 - type: corpus_sparsity_ratio372 value: 0.9882248611705158373 name: Corpus Sparsity Ratio374 - type: dot_accuracy@1375 value: 0.36376 name: Dot Accuracy@1377 - type: dot_accuracy@3378 value: 0.58379 name: Dot Accuracy@3380 - type: dot_accuracy@5381 value: 0.66382 name: Dot Accuracy@5383 - type: dot_accuracy@10384 value: 0.72385 name: Dot Accuracy@10386 - type: dot_precision@1387 value: 0.36388 name: Dot Precision@1389 - type: dot_precision@3390 value: 0.19333333333333333391 name: Dot Precision@3392 - type: dot_precision@5393 value: 0.136394 name: Dot Precision@5395 - type: dot_precision@10396 value: 0.078397 name: Dot Precision@10398 - type: dot_recall@1399 value: 0.34400 name: Dot Recall@1401 - type: dot_recall@3402 value: 0.54403 name: Dot Recall@3404 - type: dot_recall@5405 value: 0.63406 name: Dot Recall@5407 - type: dot_recall@10408 value: 0.69409 name: Dot Recall@10410 - type: dot_ndcg@10411 value: 0.5189963924532662412 name: Dot Ndcg@10413 - type: dot_mrr@10414 value: 0.4757777777777777415 name: Dot Mrr@10416 - type: dot_map@100417 value: 0.46913515575703424418 name: Dot Map@100419 - type: query_active_dims420 value: 115.30000305175781421 name: Query Active Dims422 - type: query_sparsity_ratio423 value: 0.9962223968595846424 name: Query Sparsity Ratio425 - type: corpus_active_dims426 value: 336.913818359375427 name: Corpus Active Dims428 - type: corpus_sparsity_ratio429 value: 0.9889616074189316430 name: Corpus Sparsity Ratio431 - task:432 type: sparse-nano-beir433 name: Sparse Nano BEIR434 dataset:435 name: NanoBEIR mean436 type: NanoBEIR_mean437 metrics:438 - type: dot_accuracy@1439 value: 0.3440 name: Dot Accuracy@1441 - type: dot_accuracy@3442 value: 0.5443 name: Dot Accuracy@3444 - type: dot_accuracy@5445 value: 0.5800000000000001446 name: Dot Accuracy@5447 - type: dot_accuracy@10448 value: 0.6733333333333332449 name: Dot Accuracy@10450 - type: dot_precision@1451 value: 0.3452 name: Dot Precision@1453 - type: dot_precision@3454 value: 0.20666666666666664455 name: Dot Precision@3456 - 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type: dot_mrr@10535 value: 0.5383367720714658536 name: Dot Mrr@10537 - type: dot_map@100538 value: 0.40550699373209664539 name: Dot Map@100540 - type: query_active_dims541 value: 161.59013707612073542 name: Query Active Dims543 - type: query_sparsity_ratio544 value: 0.9947057814993735545 name: Query Sparsity Ratio546 - type: corpus_active_dims547 value: 302.84806046588795548 name: Corpus Active Dims549 - type: corpus_sparsity_ratio550 value: 0.99007771245443551 name: Corpus Sparsity Ratio552 - task:553 type: sparse-information-retrieval554 name: Sparse Information Retrieval555 dataset:556 name: NanoClimateFEVER557 type: NanoClimateFEVER558 metrics:559 - type: dot_accuracy@1560 value: 0.26561 name: Dot Accuracy@1562 - type: dot_accuracy@3563 value: 0.4564 name: Dot Accuracy@3565 - type: dot_accuracy@5566 value: 0.42567 name: Dot Accuracy@5568 - type: dot_accuracy@10569 value: 0.64570 name: Dot Accuracy@10571 - type: dot_precision@1572 value: 0.26573 name: Dot Precision@1574 - type: dot_precision@3575 value: 0.14576 name: Dot Precision@3577 - type: dot_precision@5578 value: 0.09200000000000001579 name: Dot Precision@5580 - type: dot_precision@10581 value: 0.08582 name: Dot Precision@10583 - type: dot_recall@1584 value: 0.13585 name: Dot Recall@1586 - type: dot_recall@3587 value: 0.18588 name: Dot Recall@3589 - type: dot_recall@5590 value: 0.19591 name: Dot Recall@5592 - type: dot_recall@10593 value: 0.30733333333333335594 name: Dot Recall@10595 - type: dot_ndcg@10596 value: 0.2528315611912319597 name: Dot Ndcg@10598 - type: dot_mrr@10599 value: 0.3483253968253968600 name: Dot Mrr@10601 - type: dot_map@100602 value: 0.195000428587257603 name: Dot Map@100604 - type: query_active_dims605 value: 215.39999389648438606 name: Query Active Dims607 - type: query_sparsity_ratio608 value: 0.9929427955606944609 name: Query Sparsity Ratio610 - type: corpus_active_dims611 value: 334.818359375612 name: Corpus Active Dims613 - type: corpus_sparsity_ratio614 value: 0.9890302614712339615 name: Corpus Sparsity Ratio616 - task:617 type: sparse-information-retrieval618 name: Sparse Information Retrieval619 dataset:620 name: NanoDBPedia621 type: NanoDBPedia622 metrics:623 - 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type: dot_map@100666 value: 0.3239717199251123667 name: Dot Map@100668 - type: query_active_dims669 value: 147.72000122070312670 name: Query Active Dims671 - type: query_sparsity_ratio672 value: 0.9951602122658835673 name: Query Sparsity Ratio674 - type: corpus_active_dims675 value: 295.1452331542969676 name: Corpus Active Dims677 - type: corpus_sparsity_ratio678 value: 0.9903300821324194679 name: Corpus Sparsity Ratio680 - task:681 type: sparse-information-retrieval682 name: Sparse Information Retrieval683 dataset:684 name: NanoFEVER685 type: NanoFEVER686 metrics:687 - type: dot_accuracy@1688 value: 0.56689 name: Dot Accuracy@1690 - type: dot_accuracy@3691 value: 0.78692 name: Dot Accuracy@3693 - type: dot_accuracy@5694 value: 0.86695 name: Dot Accuracy@5696 - type: dot_accuracy@10697 value: 0.92698 name: Dot Accuracy@10699 - type: dot_precision@1700 value: 0.56701 name: Dot Precision@1702 - type: dot_precision@3703 value: 0.26704 name: Dot Precision@3705 - type: dot_precision@5706 value: 0.172707 name: Dot Precision@5708 - 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type: dot_precision@10837 value: 0.15599999999999997838 name: Dot Precision@10839 - type: dot_recall@1840 value: 0.33841 name: Dot Recall@1842 - type: dot_recall@3843 value: 0.65844 name: Dot Recall@3845 - type: dot_recall@5846 value: 0.72847 name: Dot Recall@5848 - type: dot_recall@10849 value: 0.78850 name: Dot Recall@10851 - type: dot_ndcg@10852 value: 0.6985941766475363853 name: Dot Ndcg@10854 - type: dot_mrr@10855 value: 0.7596666666666667856 name: Dot Mrr@10857 - type: dot_map@100858 value: 0.632578269203448859 name: Dot Map@100860 - type: query_active_dims861 value: 131.75999450683594862 name: Query Active Dims863 - type: query_sparsity_ratio864 value: 0.9956831139995139865 name: Query Sparsity Ratio866 - type: corpus_active_dims867 value: 330.9889831542969868 name: Corpus Active Dims869 - type: corpus_sparsity_ratio870 value: 0.9891557242921729871 name: Corpus Sparsity Ratio872 - task:873 type: sparse-information-retrieval874 name: Sparse Information Retrieval875 dataset:876 name: NanoQuoraRetrieval877 type: NanoQuoraRetrieval878 metrics:879 - 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type: dot_recall@1968 value: 0.08466666666666667969 name: Dot Recall@1970 - type: dot_recall@3971 value: 0.15866666666666668972 name: Dot Recall@3973 - type: dot_recall@5974 value: 0.23566666666666666975 name: Dot Recall@5976 - type: dot_recall@10977 value: 0.31666666666666665978 name: Dot Recall@10979 - type: dot_ndcg@10980 value: 0.307302076202993981 name: Dot Ndcg@10982 - type: dot_mrr@10983 value: 0.5031111111111111984 name: Dot Mrr@10985 - type: dot_map@100986 value: 0.2314013330851555987 name: Dot Map@100988 - type: query_active_dims989 value: 219.97999572753906990 name: Query Active Dims991 - type: query_sparsity_ratio992 value: 0.9927927398031735993 name: Query Sparsity Ratio994 - type: corpus_active_dims995 value: 370.2647399902344996 name: Corpus Active Dims997 - type: corpus_sparsity_ratio998 value: 0.98786892274457999 name: Corpus Sparsity Ratio1000 - task:1001 type: sparse-information-retrieval1002 name: Sparse Information Retrieval1003 dataset:1004 name: NanoArguAna1005 type: NanoArguAna1006 metrics:1007 - type: dot_accuracy@11008 value: 0.11009 name: Dot Accuracy@11010 - type: dot_accuracy@31011 value: 0.381012 name: Dot Accuracy@31013 - type: dot_accuracy@51014 value: 0.461015 name: Dot Accuracy@51016 - type: dot_accuracy@101017 value: 0.541018 name: Dot Accuracy@101019 - type: dot_precision@11020 value: 0.11021 name: Dot Precision@11022 - type: dot_precision@31023 value: 0.126666666666666651024 name: Dot Precision@31025 - type: dot_precision@51026 value: 0.092000000000000011027 name: Dot Precision@51028 - type: dot_precision@101029 value: 0.054000000000000011030 name: Dot Precision@101031 - type: dot_recall@11032 value: 0.11033 name: Dot Recall@11034 - type: dot_recall@31035 value: 0.381036 name: Dot Recall@31037 - type: dot_recall@51038 value: 0.461039 name: Dot Recall@51040 - type: dot_recall@101041 value: 0.541042 name: Dot Recall@101043 - type: dot_ndcg@101044 value: 0.3140670806996881045 name: Dot Ndcg@101046 - type: dot_mrr@101047 value: 0.241912698412698441048 name: Dot Mrr@101049 - type: dot_map@1001050 value: 0.25448711271580891051 name: Dot Map@1001052 - type: query_active_dims1053 value: 392.39999389648441054 name: Query Active Dims1055 - type: query_sparsity_ratio1056 value: 0.987143699826471057 name: Query Sparsity Ratio1058 - type: corpus_active_dims1059 value: 371.98953247070311060 name: Corpus Active Dims1061 - type: corpus_sparsity_ratio1062 value: 0.98781241293261571063 name: Corpus Sparsity Ratio1064 - task:1065 type: sparse-information-retrieval1066 name: Sparse Information Retrieval1067 dataset:1068 name: NanoSciFact1069 type: NanoSciFact1070 metrics:1071 - type: dot_accuracy@11072 value: 0.541073 name: Dot Accuracy@11074 - type: dot_accuracy@31075 value: 0.641076 name: Dot Accuracy@31077 - type: dot_accuracy@51078 value: 0.661079 name: Dot Accuracy@51080 - type: dot_accuracy@101081 value: 0.781082 name: Dot Accuracy@101083 - type: dot_precision@11084 value: 0.541085 name: Dot Precision@11086 - type: dot_precision@31087 value: 0.221088 name: Dot Precision@31089 - type: dot_precision@51090 value: 0.144000000000000021091 name: Dot Precision@51092 - type: dot_precision@101093 value: 0.085999999999999981094 name: Dot Precision@101095 - type: dot_recall@11096 value: 0.5051097 name: Dot Recall@11098 - type: dot_recall@31099 value: 0.61100 name: Dot Recall@31101 - type: dot_recall@51102 value: 0.6351103 name: Dot Recall@51104 - type: dot_recall@101105 value: 0.761106 name: Dot Recall@101107 - type: dot_ndcg@101108 value: 0.63308477576503831109 name: Dot Ndcg@101110 - type: dot_mrr@101111 value: 0.60993650793650791112 name: Dot Mrr@101113 - type: dot_map@1001114 value: 0.59210398090685591115 name: Dot Map@1001116 - type: query_active_dims1117 value: 239.020004272460941118 name: Query Active Dims1119 - type: query_sparsity_ratio1120 value: 0.99216892719112571121 name: Query Sparsity Ratio1122 - type: corpus_active_dims1123 value: 362.614929199218751124 name: Corpus Active Dims1125 - type: corpus_sparsity_ratio1126 value: 0.98811955542889661127 name: Corpus Sparsity Ratio1128 - task:1129 type: sparse-information-retrieval1130 name: Sparse Information Retrieval1131 dataset:1132 name: NanoTouche20201133 type: NanoTouche20201134 metrics:1135 - type: dot_accuracy@11136 value: 0.61224489795918371137 name: Dot Accuracy@11138 - type: dot_accuracy@31139 value: 0.85714285714285711140 name: Dot Accuracy@31141 - type: dot_accuracy@51142 value: 0.91836734693877551143 name: Dot Accuracy@51144 - type: dot_accuracy@101145 value: 0.93877551020408171146 name: Dot Accuracy@101147 - type: dot_precision@11148 value: 0.61224489795918371149 name: Dot Precision@11150 - type: dot_precision@31151 value: 0.53741496598639451152 name: Dot Precision@31153 - type: dot_precision@51154 value: 0.51020408163265321155 name: Dot Precision@51156 - type: dot_precision@101157 value: 0.45102040816326531158 name: Dot Precision@101159 - type: dot_recall@11160 value: 0.041285352199592041161 name: Dot Recall@11162 - type: dot_recall@31163 value: 0.108522464087029731164 name: Dot Recall@31165 - type: dot_recall@51166 value: 0.172934736233801181167 name: Dot Recall@51168 - type: dot_recall@101169 value: 0.294156986580349941170 name: Dot Recall@101171 - type: dot_ndcg@101172 value: 0.49977673478813141173 name: Dot Ndcg@101174 - type: dot_mrr@101175 value: 0.74271137026239081176 name: Dot Mrr@101177 - type: dot_map@1001178 value: 0.371795452936791841179 name: Dot Map@1001180 - type: query_active_dims1181 value: 41.061225891113281182 name: Query Active Dims1183 - type: query_sparsity_ratio1184 value: 0.99865470067849051185 name: Query Sparsity Ratio1186 - type: corpus_active_dims1187 value: 307.70584106445311188 name: Corpus Active Dims1189 - type: corpus_sparsity_ratio1190 value: 0.98991855576094451191 name: Corpus Sparsity Ratio1192---1193 1194# splade-distilbert-base-uncased trained on GooAQ1195 1196This is a [SPLADE Sparse Encoder](https://www.sbert.net/docs/sparse_encoder/usage/usage.html) model finetuned from [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the [gooaq](https://huggingface.co/datasets/sentence-transformers/gooaq) dataset using the [sentence-transformers](https://www.SBERT.net) library. It maps sentences & paragraphs to a 30522-dimensional sparse vector space and can be used for semantic search and sparse retrieval.1197## Model Details1198 1199### Model Description1200- **Model Type:** SPLADE Sparse Encoder