Model: sartifyllc/MultiLinguSwahili-nomic-embed-text-v1.5-nli-matryoshka
Author: sartifyllc
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, nomic_bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:1115700, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss, custom_code, arxiv:1908.10084, arxiv:2205.13147, arxiv:1705.00652, base_model:nomic-ai/nomic-embed-text-v1.5, base_model:finetune:nomic-ai/nomic-embed-text-v1.5, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: nomic-ai/nomic-embed-text-v1.5
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: nomic-ai/nomic-embed-text-v1.5
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 nomic-ai/nomic-embed-text-v1.5
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test 768
type: sts-test-768
metrics: type: pearson_cosine
value: 0.6944960057464138
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6872396378196957
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.7086043588614903
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.7136479613274518
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7084460037709435
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.7128357831285198
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.481902874304561
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.46588918379526945
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7086043588614903
name: Pearson Max
verified: no, type: spearman_max
value: 0.7136479613274518
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: 0.6925787246105148
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6859479129419207
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.7087290093387656
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.7127968133455542
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7088805484816247
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.7123606046721803
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.4684333245586192
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.45257836578849003
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7088805484816247
name: Pearson Max
verified: no, type: spearman_max
value: 0.7127968133455542
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: 0.6876956481856266
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6814892249857147
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.7083882582081078
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.7097524143994903
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7094190252305796
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.7104287347206688
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.4438925722484721
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.4255299982188107
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7094190252305796
name: Pearson Max
verified: no, type: spearman_max
value: 0.7104287347206688
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: 0.6708560165075523
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6669935075512006
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.7041961281711793
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.7000807688296651
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7055061381768357
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.7022686907818495
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.37855771167572094
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.35930717422088765
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7055061381768357
name: Pearson Max
verified: no, type: spearman_max
value: 0.7022686907818495
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: 0.6533817775144477
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6523997361414113
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.6919834348567717
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6857245312336051
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.6950438027503257
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6899151458827059
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.33502302384042637
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.3097469345046609
name: Spearman Dot
verified: no, type: pearson_max
value: 0.6950438027503257
name: Pearson Max
verified: no, type: spearman_max
value: 0.6899151458827059
name: Spearman Max
verified: no
Likes: 0 | All-time downloads: 185
Created: 2024-07-08 00:23:27