Model: Mollel/swahili-serengeti-E250-nli-matryoshka
Author: Mollel
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, electra, 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:UBC-NLP/serengeti-E250, base_model:finetune:UBC-NLP/serengeti-E250, model-index, endpoints_compatible, region:us
Base models (finetune): id: UBC-NLP/serengeti-E250
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: UBC-NLP/serengeti-E250
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 UBC-NLP/serengeti-E250
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test 768
type: sts-test-768
metrics: type: pearson_cosine
value: 0.7113368462970326
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.706531149090894
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.7134349154531519
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.7023005843725415
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7137962920501839
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.7020941994285994
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.3920803758314358
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.3601086266312748
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7137962920501839
name: Pearson Max
verified: no, type: spearman_max
value: 0.706531149090894
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: 0.7090618585285485
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7045766195278508
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.7129955390384859
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.7021695501159393
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7138697740168334
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.7032055408694606
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.39352767760073326
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.3628376619678567
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7138697740168334
name: Pearson Max
verified: no, type: spearman_max
value: 0.7045766195278508
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: 0.7067837420770313
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7044452613349608
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.7137425083925593
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.7032345257234871
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7146861583047366
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.7039212190752775
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.37462153895392747
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.34441190254194326
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7146861583047366
name: Pearson Max
verified: no, type: spearman_max
value: 0.7044452613349608
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: 0.7046839100746249
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7050559450173808
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.7120431790616113
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.7010054121016321
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7132280398983044
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.701626975970973
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.35455409787695585
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.32292034736383524
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7132280398983044
name: Pearson Max
verified: no, type: spearman_max
value: 0.7050559450173808
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: 0.7012310578605567
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7044132231714119
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.7091211798265005
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6972792688781575
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7103033981031003
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6985716335223231
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.3379821887901175
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.30513652558145304
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7103033981031003
name: Pearson Max
verified: no, type: spearman_max
value: 0.7044132231714119
name: Spearman Max
verified: no
Likes: 1 | All-time downloads: 137
Created: 2024-07-05 23:40:00