Model: Mollel/MultiLinguSwahili-mxbai-embed-large-v1-nli-matryoshka
Author: Mollel
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, 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:mixedbread-ai/mxbai-embed-large-v1, base_model:finetune:mixedbread-ai/mxbai-embed-large-v1, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: mixedbread-ai/mxbai-embed-large-v1
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: mixedbread-ai/mxbai-embed-large-v1
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 mixedbread-ai/mxbai-embed-large-v1
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test 768
type: sts-test-768
metrics: type: pearson_cosine
value: 0.7132706238512434
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7051536841043449
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.6350557885817543
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6244954371574937
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.6378177587771076
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.62660657495158
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.5703890363847545
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.5603263508842454
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7132706238512434
name: Pearson Max
verified: no, type: spearman_max
value: 0.7051536841043449
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: 0.7123126668825692
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.703609966898051
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.6388434483972429
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6281398975795567
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.6419247701070586
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6310772735048756
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.5490282729432092
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.5413067160939415
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7123126668825692
name: Pearson Max
verified: no, type: spearman_max
value: 0.703609966898051
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: 0.7077861691807766
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7000862774499549
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.643288835639384
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6325033715865666
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.6460218727916103
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6343987601663327
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.5115397990320991
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.5059807217044437
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7077861691807766
name: Pearson Max
verified: no, type: spearman_max
value: 0.7000862774499549
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: 0.7028807205576924
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6967519700533644
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.6497250338362586
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6388633921530281
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.650616035583963
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6388752538429412
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.473211586813894
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.468867985238822
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7028807205576924
name: Pearson Max
verified: no, type: spearman_max
value: 0.6967519700533644
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: 0.6904004410097948
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.684874855155489
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.6498424787891348
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6359659710580793
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.6513241092538908
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6369881684130174
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.42134226096367267
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.4179675632105097
name: Spearman Dot
verified: no, type: pearson_max
value: 0.6904004410097948
name: Pearson Max
verified: no, type: spearman_max
value: 0.684874855155489
name: Spearman Max
verified: no
Likes: 0 | All-time downloads: 123
Created: 2024-07-09 13:48:12