Model: Mollel/MultiLinguSwahili-bge-small-en-v1.5-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:BAAI/bge-small-en-v1.5, base_model:finetune:BAAI/bge-small-en-v1.5, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: BAAI/bge-small-en-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: BAAI/bge-small-en-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 BAAI/bge-small-en-v1.5
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test 256
type: sts-test-256
metrics: type: pearson_cosine
value: 0.6831671531193453
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.677143022633225
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.6891948944875336
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6892226446007472
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.6916897298195501
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6916850273924392
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.6418376172951465
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.628581703082033
name: Spearman Dot
verified: no, type: pearson_max
value: 0.6916897298195501
name: Pearson Max
verified: no, type: spearman_max
value: 0.6916850273924392
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: 0.6753009254241098
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6731049071307844
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.6906782473185179
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6927883369656496
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.6933649652149252
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.694111832507592
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.600449101550258
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.5857671058687308
name: Spearman Dot
verified: no, type: pearson_max
value: 0.6933649652149252
name: Pearson Max
verified: no, type: spearman_max
value: 0.694111832507592
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: 0.6546200020168988
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6523958945855459
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.6837289470688535
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6796775815725002
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.6861328219241016
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6815842202083926
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.5120576666695955
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.49141347385563683
name: Spearman Dot
verified: no, type: pearson_max
value: 0.6861328219241016
name: Pearson Max
verified: no, type: spearman_max
value: 0.6815842202083926
name: Spearman Max
verified: no
Likes: 0 | All-time downloads: 10
Created: 2024-07-08 23:11:26