Model: kushalc1/sarashina-embedding-v2-1b-jsts-matryoshka
Author: kushalc1
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, llama, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:12451, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss, jpn, dataset:mteb/JSTS, arxiv:1908.10084, arxiv:2205.13147, arxiv:1705.00652, base_model:sbintuitions/sarashina-embedding-v2-1b, base_model:finetune:sbintuitions/sarashina-embedding-v2-1b, model-index, endpoints_compatible, region:us
Base models (finetune): id: sbintuitions/sarashina-embedding-v2-1b
Card metadata: language: jpn
tags: sentence-transformers, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:12451, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss
base_model: sbintuitions/sarashina-embedding-v2-1b
widget: source_sentence: 草原で２頭のシマウマが草を食べています。
sentences: 芝の上に５体象のオブジェが置いてあります。, テーブルトップが大理石になってる台所です。, 草地にシマウマが二頭並んで草を食べています。, source_sentence: 三匹のシマウマが草原の上で草を食べています。
sentences: どこかの山間の草原にて放し飼いにされた馬たちが餌を食べています。, ノートパソコンのキーボードの上にネックレスが置いてあります。, テーブルに様々な食品が置いてあります。, source_sentence: 小さな子供がバッティングの練習をしています。
sentences: 小さな男の子がティーバッティングをしています。, 整備されていない道路を自動車が走っている, 水面に赤いくちばしの黒い鳥が一羽います。, source_sentence: 水辺に熊のぬいぐるみが置かれています。
sentences: 男性と女性が、歯を磨いています。, ぬいぐるみが水面を眺めるように置かれています。, 机の上にキーボードとマウスがあります。, source_sentence: 樹木に囲まれた芝生の上に三頭のキリンが立っています。
sentences: 木立のある飛行場にプロペラ機があります。, 芝生の上に数頭のキリンが歩いています。, 茶色のテーブルの上にピザと飲み物が置かれています。
datasets: mteb/JSTS
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: pearson_cosine, spearman_cosine
model-index: name: SentenceTransformer based on sbintuitions/sarashina-embedding-v2-1b
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts dev 1792
type: sts-dev-1792
metrics: type: pearson_cosine
value: 0.8087868579610134
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7434852310420895
name: Spearman Cosine
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts dev 1280
type: sts-dev-1280
metrics: type: pearson_cosine
value: 0.8078298935695407
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7442183123552939
name: Spearman Cosine
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts dev 768
type: sts-dev-768
metrics: type: pearson_cosine
value: 0.8049498106276536
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7423127841298944
name: Spearman Cosine
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts dev 256
type: sts-dev-256
metrics: type: pearson_cosine
value: 0.8022036966421968
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7410650407423576
name: Spearman Cosine
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts dev 64
type: sts-dev-64
metrics: type: pearson_cosine
value: 0.7972172928220316
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7388786050712278
name: Spearman Cosine
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test 1792
type: sts-test-1792
metrics: type: pearson_cosine
value: 0.8087781664749797
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7435051743546024
name: Spearman Cosine
verified: no, type: pearson_cosine
value: 0.8087781664749797
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7435051743546024
name: Spearman Cosine
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test 1280
type: sts-test-1280
metrics: type: pearson_cosine
value: 0.8078219018746986
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7442250390777712
name: Spearman Cosine
verified: no, type: pearson_cosine
value: 0.8078219018746986
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7442250390777712
name: Spearman Cosine
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test 768
type: sts-test-768
metrics: type: pearson_cosine
value: 0.8049404729865752
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7423149875969083
name: Spearman Cosine
verified: no, type: pearson_cosine
value: 0.8049404729865752
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7423149875969083
name: Spearman Cosine
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test 256
type: sts-test-256
metrics: type: pearson_cosine
value: 0.8022025594051618
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7410686789846747
name: Spearman Cosine
verified: no, type: pearson_cosine
value: 0.8022025594051618
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7410686789846747
name: Spearman Cosine
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test 64
type: sts-test-64
metrics: type: pearson_cosine
value: 0.7972183575514205
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7388646166416691
name: Spearman Cosine
verified: no, type: pearson_cosine
value: 0.7972183575514205
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7388646166416691
name: Spearman Cosine
verified: no
Likes: 1 | All-time downloads: 33
Created: 2025-12-22 12:06:20