Model: Mollel/swahili-bert-base-sw-cased-nli-matryoshka
Author: Mollel
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:557850, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss, arxiv:1908.10084, arxiv:2205.13147, arxiv:1705.00652, base_model:Geotrend/bert-base-sw-cased, base_model:finetune:Geotrend/bert-base-sw-cased, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: Geotrend/bert-base-sw-cased
Card metadata: library_name: sentence-transformers
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:557850, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss
base_model: Geotrend/bert-base-sw-cased
metrics: pearson_cosine, spearman_cosine, pearson_manhattan, spearman_manhattan, pearson_euclidean, spearman_euclidean, pearson_dot, spearman_dot, pearson_max, spearman_max
widget: source_sentence: Mwanamume aliyepangwa vizuri anasimama kwa mguu mmoja karibu na pwani safi ya bahari.
sentences: mtu anacheka wakati wa kufua nguo, Mwanamume fulani yuko nje karibu na ufuo wa bahari., Mwanamume fulani ameketi kwenye sofa yake., source_sentence: Mwanamume mwenye ngozi nyeusi akivuta sigareti karibu na chombo cha taka cha kijani.
sentences: Karibu na chombo cha taka mwanamume huyo alisimama na kuvuta sigareti, Kitanda ni chafu., Alipokuwa kwenye dimbwi la kuogelea mvulana huyo mwenye ugonjwa wa albino alijihadhari na jua kupita kiasi, source_sentence: Mwanamume kijana mwenye nywele nyekundu anaketi ukutani akisoma gazeti huku mwanamke na msichana mchanga wakipita.
sentences: Mwanamume aliyevalia shati la bluu amegonga ukuta kando ya barabara na gari la bluu na gari nyekundu lenye maji nyuma., Mwanamume mchanga anatazama gazeti huku wanawake wawili wakipita karibu naye., Mwanamume huyo mchanga analala huku Mama akimwongoza binti yake kwenye bustani., source_sentence: Wasichana wako nje.
sentences: Wasichana wawili wakisafiri kwenye sehemu ya kusisimua., Kuna watu watatu wakiongoza gari linaloweza kugeuzwa-geuzwa wakipita watu wengine., Wasichana watatu wamesimama pamoja katika chumba, mmoja anasikiliza, mwingine anaandika ukutani na wa tatu anaongea nao., source_sentence: Mwanamume aliyevalia koti la bluu la kuzuia upepo, amelala uso chini kwenye benchi ya bustani, akiwa na chupa ya pombe iliyofungwa kwenye mojawapo ya miguu ya benchi.
sentences: Mwanamume amelala uso chini kwenye benchi ya bustani., Mwanamke anaunganisha uzi katika mipira kando ya rundo la mipira, Mwanamume fulani anacheza dansi kwenye klabu hiyo akifungua chupa.
pipeline_tag: sentence-similarity
model-index: name: SentenceTransformer based on Geotrend/bert-base-sw-cased
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test 768
type: sts-test-768
metrics: type: pearson_cosine
value: 0.6868804546581948
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6801625382694466
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.6719079171543956
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6653137984517007
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.6734384393604611
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6665812962708187
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.5540255947111082
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.5399212934179993
name: Spearman Dot
verified: no, type: pearson_max
value: 0.6868804546581948
name: Pearson Max
verified: no, type: spearman_max
value: 0.6801625382694466
name: Spearman Max
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test 512
type: sts-test-512
metrics: type: pearson_cosine
value: 0.6827780698031986
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6770486364807735
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.6729437410000495
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6664360018282044
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.6738342605019458
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6666791464094138
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.5296210420398023
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.5173769714392553
name: Spearman Dot
verified: no, type: pearson_max
value: 0.6827780698031986
name: Pearson Max
verified: no, type: spearman_max
value: 0.6770486364807735
name: Spearman Max
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test 256
type: sts-test-256
metrics: type: pearson_cosine
value: 0.6758051721795716
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6701833115162764
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.671762500960023
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6643430423969034
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.6730238156482042
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6649839339725255
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.48923961423508167
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.4783312389130331
name: Spearman Dot
verified: no, type: pearson_max
value: 0.6758051721795716
name: Pearson Max
verified: no, type: spearman_max
value: 0.6701833115162764
name: Spearman Max
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test 128
type: sts-test-128
metrics: type: pearson_cosine
value: 0.6700363607439113
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6637709194412489
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.6692814840348797
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6594295578885248
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.671006713633375
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6600674238087292
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.45094972472157246
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.44023350072779777
name: Spearman Dot
verified: no, type: pearson_max
value: 0.671006713633375
name: Pearson Max
verified: no, type: spearman_max
value: 0.6637709194412489
name: Spearman Max
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test 64
type: sts-test-64
metrics: type: pearson_cosine
value: 0.6614685875750459
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6556282400518681
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.665261323713716
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6533415018004937
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.6671725346980402
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6540012112658994
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.38682442010639634
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.37712136401470375
name: Spearman Dot
verified: no, type: pearson_max
value: 0.6671725346980402
name: Pearson Max
verified: no, type: spearman_max
value: 0.6556282400518681
name: Spearman Max
verified: no
Likes: 1 | All-time downloads: 139
Created: 2024-07-06 01:42:25