|
--- |
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tags: |
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- mteb |
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model-index: |
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- name: universal-sentence-encoder-multilingual-3 |
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results: |
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- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_counterfactual |
|
name: MTEB AmazonCounterfactualClassification (en) |
|
config: en |
|
split: test |
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revision: e8379541af4e31359cca9fbcf4b00f2671dba205 |
|
metrics: |
|
- type: accuracy |
|
value: 69.83582089552239 |
|
- type: ap |
|
value: 31.78315481798218 |
|
- type: f1 |
|
value: 63.49599891839609 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_polarity |
|
name: MTEB AmazonPolarityClassification |
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config: default |
|
split: test |
|
revision: e2d317d38cd51312af73b3d32a06d1a08b442046 |
|
metrics: |
|
- type: accuracy |
|
value: 65.24337500000001 |
|
- type: ap |
|
value: 60.210780218392365 |
|
- type: f1 |
|
value: 64.93158500771304 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_reviews_multi |
|
name: MTEB AmazonReviewsClassification (en) |
|
config: en |
|
split: test |
|
revision: 1399c76144fd37290681b995c656ef9b2e06e26d |
|
metrics: |
|
- type: accuracy |
|
value: 33.95400000000001 |
|
- type: f1 |
|
value: 33.54319450350246 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/arxiv-clustering-p2p |
|
name: MTEB ArxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
|
metrics: |
|
- type: v_measure |
|
value: 33.721026148085606 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/arxiv-clustering-s2s |
|
name: MTEB ArxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
|
metrics: |
|
- type: v_measure |
|
value: 23.989923856346987 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/biosses-sts |
|
name: MTEB BIOSSES |
|
config: default |
|
split: test |
|
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 80.07123979932489 |
|
- type: cos_sim_spearman |
|
value: 78.19395037690312 |
|
- type: euclidean_pearson |
|
value: 78.16919457797398 |
|
- type: euclidean_spearman |
|
value: 78.19395037690312 |
|
- type: manhattan_pearson |
|
value: 77.91224702148509 |
|
- type: manhattan_spearman |
|
value: 77.37284733016378 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/banking77 |
|
name: MTEB Banking77Classification |
|
config: default |
|
split: test |
|
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
|
metrics: |
|
- type: accuracy |
|
value: 72.78571428571429 |
|
- type: f1 |
|
value: 71.7761168332973 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/biorxiv-clustering-p2p |
|
name: MTEB BiorxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
|
metrics: |
|
- type: v_measure |
|
value: 30.883580770801693 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/biorxiv-clustering-s2s |
|
name: MTEB BiorxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
|
metrics: |
|
- type: v_measure |
|
value: 21.053335896002615 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/emotion |
|
name: MTEB EmotionClassification |
|
config: default |
|
split: test |
|
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
|
metrics: |
|
- type: accuracy |
|
value: 35.6 |
|
- type: f1 |
|
value: 32.46907363797937 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/imdb |
|
name: MTEB ImdbClassification |
|
config: default |
|
split: test |
|
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
|
metrics: |
|
- type: accuracy |
|
value: 66.32400000000001 |
|
- type: ap |
|
value: 60.96534738097902 |
|
- type: f1 |
|
value: 66.17106527460737 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/mtop_domain |
|
name: MTEB MTOPDomainClassification (en) |
|
config: en |
|
split: test |
|
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
|
metrics: |
|
- type: accuracy |
|
value: 90.40355677154584 |
|
- type: f1 |
|
value: 90.02197700114169 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/mtop_intent |
|
name: MTEB MTOPIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
|
metrics: |
|
- type: accuracy |
|
value: 62.282261741906076 |
|
- type: f1 |
|
value: 42.66509438922704 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_massive_intent |
|
name: MTEB MassiveIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 |
|
metrics: |
|
- type: accuracy |
|
value: 66.11634162743779 |
|
- type: f1 |
|
value: 63.22561882532336 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_massive_scenario |
|
name: MTEB MassiveScenarioClassification (en) |
|
config: en |
|
split: test |
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634 |
|
metrics: |
|
- type: accuracy |
|
value: 73.73570948217888 |
|
- type: f1 |
|
value: 72.60926811627525 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/medrxiv-clustering-p2p |
|
name: MTEB MedrxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
|
metrics: |
|
- type: v_measure |
|
value: 28.682218411117113 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/medrxiv-clustering-s2s |
|
name: MTEB MedrxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
|
metrics: |
|
- type: v_measure |
|
value: 24.249068423345125 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/reddit-clustering |
|
name: MTEB RedditClustering |
|
config: default |
|
split: test |
|
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
|
metrics: |
|
- type: v_measure |
|
value: 43.81857444082751 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/reddit-clustering-p2p |
|
name: MTEB RedditClusteringP2P |
|
config: default |
|
split: test |
|
revision: 282350215ef01743dc01b456c7f5241fa8937f16 |
|
metrics: |
|
- type: v_measure |
|
value: 58.37019068224756 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sickr-sts |
|
name: MTEB SICK-R |
|
config: default |
|
split: test |
|
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 80.40531780187507 |
|
- type: cos_sim_spearman |
|
value: 74.43055388885399 |
|
- type: euclidean_pearson |
|
value: 77.56731280002846 |
|
- type: euclidean_spearman |
|
value: 74.43055238430316 |
|
- type: manhattan_pearson |
|
value: 77.0225674793828 |
|
- type: manhattan_spearman |
|
value: 73.0157763009755 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts12-sts |
|
name: MTEB STS12 |
|
config: default |
|
split: test |
|
revision: a0d554a64d88156834ff5ae9920b964011b16384 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 77.89513323602442 |
|
- type: cos_sim_spearman |
|
value: 72.57556877265816 |
|
- type: euclidean_pearson |
|
value: 73.85821376234655 |
|
- type: euclidean_spearman |
|
value: 72.57491371628555 |
|
- type: manhattan_pearson |
|
value: 74.09836169887191 |
|
- type: manhattan_spearman |
|
value: 72.68258315762111 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts13-sts |
|
name: MTEB STS13 |
|
config: default |
|
split: test |
|
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 70.35242787171663 |
|
- type: cos_sim_spearman |
|
value: 72.21957543640191 |
|
- type: euclidean_pearson |
|
value: 71.69509554469398 |
|
- type: euclidean_spearman |
|
value: 72.21957537220672 |
|
- type: manhattan_pearson |
|
value: 71.48837487133736 |
|
- type: manhattan_spearman |
|
value: 72.10777865383778 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts14-sts |
|
name: MTEB STS14 |
|
config: default |
|
split: test |
|
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 74.16772362444075 |
|
- type: cos_sim_spearman |
|
value: 69.97673740601287 |
|
- type: euclidean_pearson |
|
value: 72.31559291876557 |
|
- type: euclidean_spearman |
|
value: 69.97673740601287 |
|
- type: manhattan_pearson |
|
value: 72.24271795357289 |
|
- type: manhattan_spearman |
|
value: 69.49367729167946 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts15-sts |
|
name: MTEB STS15 |
|
config: default |
|
split: test |
|
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 81.79182911906513 |
|
- type: cos_sim_spearman |
|
value: 82.22437412512745 |
|
- type: euclidean_pearson |
|
value: 81.83097544031064 |
|
- type: euclidean_spearman |
|
value: 82.22436565654309 |
|
- type: manhattan_pearson |
|
value: 81.36464923871902 |
|
- type: manhattan_spearman |
|
value: 81.5343779056359 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts16-sts |
|
name: MTEB STS16 |
|
config: default |
|
split: test |
|
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 75.43557616859144 |
|
- type: cos_sim_spearman |
|
value: 76.91365659685123 |
|
- type: euclidean_pearson |
|
value: 76.56513219626397 |
|
- type: euclidean_spearman |
|
value: 76.91365659685123 |
|
- type: manhattan_pearson |
|
value: 76.17721999284116 |
|
- type: manhattan_spearman |
|
value: 76.35088101292793 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts17-crosslingual-sts |
|
name: MTEB STS17 (en-en) |
|
config: en-en |
|
split: test |
|
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 84.94818288101212 |
|
- type: cos_sim_spearman |
|
value: 85.2167560886111 |
|
- type: euclidean_pearson |
|
value: 85.17622731729108 |
|
- type: euclidean_spearman |
|
value: 85.2167560886111 |
|
- type: manhattan_pearson |
|
value: 84.8324354792735 |
|
- type: manhattan_spearman |
|
value: 84.69897393431455 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts22-crosslingual-sts |
|
name: MTEB STS22 (en) |
|
config: en |
|
split: test |
|
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 61.591839696719234 |
|
- type: cos_sim_spearman |
|
value: 61.90385583991066 |
|
- type: euclidean_pearson |
|
value: 63.49437829898753 |
|
- type: euclidean_spearman |
|
value: 61.90385583991066 |
|
- type: manhattan_pearson |
|
value: 60.78565195357755 |
|
- type: manhattan_spearman |
|
value: 59.802983782193905 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/stsbenchmark-sts |
|
name: MTEB STSBenchmark |
|
config: default |
|
split: test |
|
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 81.37748727839765 |
|
- type: cos_sim_spearman |
|
value: 80.28214972273051 |
|
- type: euclidean_pearson |
|
value: 81.0274577938496 |
|
- type: euclidean_spearman |
|
value: 80.28214972273051 |
|
- type: manhattan_pearson |
|
value: 80.18978223617367 |
|
- type: manhattan_spearman |
|
value: 79.17781398461948 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/sprintduplicatequestions-pairclassification |
|
name: MTEB SprintDuplicateQuestions |
|
config: default |
|
split: test |
|
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 99.62475247524752 |
|
- type: cos_sim_ap |
|
value: 87.05032305596566 |
|
- type: cos_sim_f1 |
|
value: 80.25987006496752 |
|
- type: cos_sim_precision |
|
value: 80.21978021978022 |
|
- type: cos_sim_recall |
|
value: 80.30000000000001 |
|
- type: dot_accuracy |
|
value: 99.62475247524752 |
|
- type: dot_ap |
|
value: 87.05032305596568 |
|
- type: dot_f1 |
|
value: 80.25987006496752 |
|
- type: dot_precision |
|
value: 80.21978021978022 |
|
- type: dot_recall |
|
value: 80.30000000000001 |
|
- type: euclidean_accuracy |
|
value: 99.62475247524752 |
|
- type: euclidean_ap |
|
value: 87.05031186021066 |
|
- type: euclidean_f1 |
|
value: 80.25987006496752 |
|
- type: euclidean_precision |
|
value: 80.21978021978022 |
|
- type: euclidean_recall |
|
value: 80.30000000000001 |
|
- type: manhattan_accuracy |
|
value: 99.64554455445544 |
|
- type: manhattan_ap |
|
value: 87.773065204317 |
|
- type: manhattan_f1 |
|
value: 81.32094943240455 |
|
- type: manhattan_precision |
|
value: 84.00852878464818 |
|
- type: manhattan_recall |
|
value: 78.8 |
|
- type: max_accuracy |
|
value: 99.64554455445544 |
|
- type: max_ap |
|
value: 87.773065204317 |
|
- type: max_f1 |
|
value: 81.32094943240455 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/stackexchange-clustering |
|
name: MTEB StackExchangeClustering |
|
config: default |
|
split: test |
|
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
|
metrics: |
|
- type: v_measure |
|
value: 47.82768409586564 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/stackexchange-clustering-p2p |
|
name: MTEB StackExchangeClusteringP2P |
|
config: default |
|
split: test |
|
revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
|
metrics: |
|
- type: v_measure |
|
value: 33.010238746581386 |
|
- task: |
|
type: Summarization |
|
dataset: |
|
type: mteb/summeval |
|
name: MTEB SummEval |
|
config: default |
|
split: test |
|
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 30.93460869020161 |
|
- type: cos_sim_spearman |
|
value: 30.793100826598852 |
|
- type: dot_pearson |
|
value: 30.934611387819803 |
|
- type: dot_spearman |
|
value: 30.793100826598852 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/toxic_conversations_50k |
|
name: MTEB ToxicConversationsClassification |
|
config: default |
|
split: test |
|
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c |
|
metrics: |
|
- type: accuracy |
|
value: 67.56439999999999 |
|
- type: ap |
|
value: 12.622864890343005 |
|
- type: f1 |
|
value: 51.866745839430514 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/tweet_sentiment_extraction |
|
name: MTEB TweetSentimentExtractionClassification |
|
config: default |
|
split: test |
|
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
|
metrics: |
|
- type: accuracy |
|
value: 57.2354272778721 |
|
- type: f1 |
|
value: 57.42332031933637 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/twentynewsgroups-clustering |
|
name: MTEB TwentyNewsgroupsClustering |
|
config: default |
|
split: test |
|
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
|
metrics: |
|
- type: v_measure |
|
value: 37.46769271159515 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/twittersemeval2015-pairclassification |
|
name: MTEB TwitterSemEval2015 |
|
config: default |
|
split: test |
|
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 81.53424330929249 |
|
- type: cos_sim_ap |
|
value: 57.033163698414114 |
|
- type: cos_sim_f1 |
|
value: 54.54983148772268 |
|
- type: cos_sim_precision |
|
value: 50.154935812306334 |
|
- type: cos_sim_recall |
|
value: 59.788918205804755 |
|
- type: dot_accuracy |
|
value: 81.53424330929249 |
|
- type: dot_ap |
|
value: 57.03315710343203 |
|
- type: dot_f1 |
|
value: 54.54983148772268 |
|
- type: dot_precision |
|
value: 50.154935812306334 |
|
- type: dot_recall |
|
value: 59.788918205804755 |
|
- type: euclidean_accuracy |
|
value: 81.53424330929249 |
|
- type: euclidean_ap |
|
value: 57.033158170117446 |
|
- type: euclidean_f1 |
|
value: 54.54983148772268 |
|
- type: euclidean_precision |
|
value: 50.154935812306334 |
|
- type: euclidean_recall |
|
value: 59.788918205804755 |
|
- type: manhattan_accuracy |
|
value: 81.29582166060678 |
|
- type: manhattan_ap |
|
value: 55.74973597316332 |
|
- type: manhattan_f1 |
|
value: 53.15203955500617 |
|
- type: manhattan_precision |
|
value: 50.0 |
|
- type: manhattan_recall |
|
value: 56.72823218997362 |
|
- type: max_accuracy |
|
value: 81.53424330929249 |
|
- type: max_ap |
|
value: 57.033163698414114 |
|
- type: max_f1 |
|
value: 54.54983148772268 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/twitterurlcorpus-pairclassification |
|
name: MTEB TwitterURLCorpus |
|
config: default |
|
split: test |
|
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 87.27053983777701 |
|
- type: cos_sim_ap |
|
value: 82.20632443836952 |
|
- type: cos_sim_f1 |
|
value: 74.4764795144158 |
|
- type: cos_sim_precision |
|
value: 73.40711935387377 |
|
- type: cos_sim_recall |
|
value: 75.57745611333539 |
|
- type: dot_accuracy |
|
value: 87.27053983777701 |
|
- type: dot_ap |
|
value: 82.20632570091198 |
|
- type: dot_f1 |
|
value: 74.4764795144158 |
|
- type: dot_precision |
|
value: 73.40711935387377 |
|
- type: dot_recall |
|
value: 75.57745611333539 |
|
- type: euclidean_accuracy |
|
value: 87.27053983777701 |
|
- type: euclidean_ap |
|
value: 82.20632379487282 |
|
- type: euclidean_f1 |
|
value: 74.4764795144158 |
|
- type: euclidean_precision |
|
value: 73.40711935387377 |
|
- type: euclidean_recall |
|
value: 75.57745611333539 |
|
- type: manhattan_accuracy |
|
value: 87.18321884581053 |
|
- type: manhattan_ap |
|
value: 81.95324384723243 |
|
- type: manhattan_f1 |
|
value: 74.28318388132404 |
|
- type: manhattan_precision |
|
value: 71.32733328608887 |
|
- type: manhattan_recall |
|
value: 77.49461040960887 |
|
- type: max_accuracy |
|
value: 87.27053983777701 |
|
- type: max_ap |
|
value: 82.20632570091198 |
|
- type: max_f1 |
|
value: 74.4764795144158 |
|
--- |
|
This is a part of the [MTEB test](https://huggingface.co/spaces/mteb/leaderboard). |
|
|
|
``` |
|
# !pip install tensorflow_text |
|
|
|
import tensorflow_hub as hub |
|
from tensorflow_text import SentencepieceTokenizer |
|
import tensorflow as tf |
|
|
|
embedder=hub.load("https://tfhub.dev/google/universal-sentence-encoder-multilingual-large/3") |
|
|
|
class USE(): |
|
def encode(self, sentences, batch_size=32, **kwargs): |
|
embeddings = [] |
|
for i in range(0, len(sentences), batch_size): |
|
batch_sentences = sentences[i:i+batch_size] |
|
batch_embeddings = embedder(batch_sentences) |
|
embeddings.extend(batch_embeddings) |
|
return embeddings |
|
|
|
|
|
model = USE() |
|
``` |
