Model: Mollel/MultiLinguSwahili-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:1115700, 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:1115700, 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: Ndege mwenye mdomo mrefu katikati ya ndege.
sentences: Panya anayekimbia juu ya gurudumu., Mtu anashindana katika mashindano ya mbio., Ndege anayeruka., source_sentence: Msichana mchanga mwenye nywele nyeusi anakabili kamera na kushikilia mfuko wa karatasi wakati amevaa shati la machungwa na mabawa ya kipepeo yenye rangi nyingi.
sentences: Mwanamke mzee anakataa kupigwa picha., mtu akila na mvulana mdogo kwenye kijia cha jiji, Msichana mchanga anakabili kamera., source_sentence: Wanawake na watoto wameketi nje katika kivuli wakati kikundi cha watoto wadogo wameketi ndani katika kivuli.
sentences: Mwanamke na watoto na kukaa chini., Mwanamke huyo anakimbia., Watu wanasafiri kwa baiskeli., source_sentence: Mtoto mdogo anaruka mikononi mwa mwanamke aliyevalia suti nyeusi ya kuogelea akiwa kwenye dimbwi.
sentences: Mtoto akiruka mikononi mwa mwanamke aliyevalia suti ya kuogelea kwenye dimbwi., Someone is holding oranges and walking, Mama na binti wakinunua viatu., source_sentence: Mwanamume na mwanamke wachanga waliovaa mikoba wanaweka au kuondoa kitu kutoka kwenye mti mweupe wa zamani, huku watu wengine wamesimama au wameketi nyuma.
sentences: tai huruka, mwanamume na mwanamke wenye mikoba, Wanaume wawili wameketi karibu na mwanamke.
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: 0.7084016023985643
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7080643276583263
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.7163851544290831
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.7066259909380899
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.716171309296757
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.7064427148038006
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.38463559218643695
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.3566836293112297
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7163851544290831
name: Pearson Max
verified: no, type: spearman_max
value: 0.7080643276583263
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: 0.7059523092716506
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7046582726338858
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.714245009590492
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.7048777976859945
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7150194670982656
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.7055458365374757
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.3855295554891442
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.3585966097040326
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7150194670982656
name: Pearson Max
verified: no, type: spearman_max
value: 0.7055458365374757
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: 0.7069259070512649
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7072103115498357
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.7151518946293685
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.7050845216566457
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7154956682724514
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.70486417475867
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.37291132473389677
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.3480769113927452
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7154956682724514
name: Pearson Max
verified: no, type: spearman_max
value: 0.7072103115498357
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: 0.7022542784280805
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7062378358777478
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.711575484251127
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.701312903814612
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7125043324593673
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.7011154675785318
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.34394993785114003
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.31686351995727197
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7125043324593673
name: Pearson Max
verified: no, type: spearman_max
value: 0.7062378358777478
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: 0.6950172826546709
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6993973161633343
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.7059726901866531
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6938542774412633
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7066346687971139
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6949014564343952
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.30982738809482646
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.2855406388879541
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7066346687971139
name: Pearson Max
verified: no, type: spearman_max
value: 0.6993973161633343
name: Spearman Max
verified: no
Likes: 0 | All-time downloads: 272
Created: 2024-07-07 11:32:30