Model: Mollel/MultiLinguSwahili-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:1115700, 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:1115700, 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: 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 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: 0.6937245827269046
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6872564222432196
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.6671541268726737
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6578428252987948
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.6672292642346008
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6577692881532263
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.5234944445417878
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.5126395384896926
name: Spearman Dot
verified: no, type: pearson_max
value: 0.6937245827269046
name: Pearson Max
verified: no, type: spearman_max
value: 0.6872564222432196
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: 0.689885399601221
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6847071916895495
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.6678379220949281
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6579957115799916
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.6673062843667007
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6573006123381013
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.49533316366864977
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.48723679408818543
name: Spearman Dot
verified: no, type: pearson_max
value: 0.689885399601221
name: Pearson Max
verified: no, type: spearman_max
value: 0.6847071916895495
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: 0.6873377612773459
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6816874105466478
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.667357515297651
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6557727891191705
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.6674937201647584
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6560441259953166
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.45660372834373963
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.4533070407260065
name: Spearman Dot
verified: no, type: pearson_max
value: 0.6873377612773459
name: Pearson Max
verified: no, type: spearman_max
value: 0.6816874105466478
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: 0.6836009506667413
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6795423695973911
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.6663652896396122
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6534731725514219
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.6663726876345561
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6537216014002204
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.43102957451470686
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.431538008932168
name: Spearman Dot
verified: no, type: pearson_max
value: 0.6836009506667413
name: Pearson Max
verified: no, type: spearman_max
value: 0.6795423695973911
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: 0.6715253560367674
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.669070001537953
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.6571390159051358
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6456119247619697
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.6598587843081631
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6472279949159918
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.36757468941627225
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.3678274698380672
name: Spearman Dot
verified: no, type: pearson_max
value: 0.6715253560367674
name: Pearson Max
verified: no, type: spearman_max
value: 0.669070001537953
name: Spearman Max
verified: no
Likes: 0 | All-time downloads: 171
Created: 2024-07-06 22:38:25