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Add new SentenceTransformer model
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metadata
tags:
  - sentence-transformers
  - sentence-similarity
  - feature-extraction
  - generated_from_trainer
  - dataset_size:1138596
  - loss:CachedGISTEmbedLoss
base_model: seongil-dn/unsupervised_20m_2600
widget:
  - source_sentence: where are dna nucleotides found
    sentences:
      - >-
        A: Nucleotides are made up of a phosphate group, a five-ring sugar and a
        nitrogenous base. Nucleic acids, such as deoxyribonucleic acid (DNA) and
        ribonucleic (RNA), contain repeating nucleotides. Nucleotides link
        together to form nucleic acids by connecting the phosphate group of one
        nucleotide to the sugar of another. Continue Reading
      - >-
        A nucleotide consists of three things: 1  A nitrogenous base, which can
        be either adenine, guanine, cytosine, or thymine (in the case of RNA,
        thymine is replaced by uracil). 2  A five-carbon sugar, called
        deoxyribose because it is lacking an oxygen group on one of its carbons.
        3  One or more phosphate groups.
      - >-
        Best Answer: The nucleus houses the cell's DNA. The nucleus is only
        found in eukaryotic cells. The nucleolus is an organelle inside the
        nucleus that houses proteins and RNA. Also found in eukaryotic cells.The
        nucleoid is an irregularly shaped region that houses genetic
        material.This is only found in prokaryotes.est Answer: The nucleus
        houses the cell's DNA. The nucleus is only found in eukaryotic cells.
        The nucleolus is an organelle inside the nucleus that houses proteins
        and RNA. Also found in eukaryotic cells. The nucleoid is an irregularly
        shaped region that houses genetic material. This is only found in
        prokaryotes.
      - "A nucleotide is made up of one sugar molecule, one phosphate  molecule and one of the four bases (adenine, guanine, thymine,  cytosine). Here is the structural formula for t â\x80¦ he four nucleotides  of DNA."
      - >-
        Each nucleotide consists of a sugar (deoxyribose) bound on one side to a
        phosphate group and bound on the other side to a nitrogenous base. There
        are two classes of nitrogen bases called purines (double-ringed
        structures) and pyrimidines (single-ringed structures). The four bases
        in DNA's alphabet are:he base pairs in DNA are adenine with thymine and
        cytosine with guanine. DNA has a spiral staircase-like structure. The
        steps are formed by the nitrogen bases of the nucleotides where adenine
        pairs with thymine and cytosine with guanine. Photo courtesy U.S.
        National Library of Medicine.
      - "What are the names of the nucleotides found in DNA and RNA?   In DNA, the four bases are: adenine, guanine, thymine, and cytosine.Each base is attached is attached to a sugar (deoxyribose) to form a nucleoside. Respectively, t â\x80¦ hese are: adenosine, guanosine, thymidine, and cytidine. In DNA, the four bases are: adenine, guanine, thymine, and cytosine. Each base is attached is attached to a sugar (deoxyribose) to form a nucleoside."
  - source_sentence: what is the name of the region at the back of the eye
    sentences:
      - >-
        The eyeball has 3 main layers: the sclera, the uvea, and the retina.
        Sclera: The sclera is the tough, white covering over most of the outside
        of the eyeball. In the front of the eye it is continuous with the
        cornea, which is clear to let light through. Uvea: The uvea is the
        middle layer of the eyeball.ntraocular melanoma (melanoma of the eye).
        Intraocular melanoma is the most common type of cancer that develops
        within the eyeball in adults, but it is still fairly rare. Melanomas of
        the skin are much more common than intraocular melanomas.
      - >-
        The beginning of the optic nerve in the retina is called the optic nerve
        head or optic disc. Since there are no photoreceptors (cones and rods)
        in the optic nerve head, this area of the retina cannot respond to light
        stimulation.As a result, it is known as the blind spot, and everybody
        has one in each eye.rom there, the nerve fibers become the optic tract,
        passing through the thalamus and turning into the optic radiation until
        they reach the visual cortex in the occipital lobe at the back of the
        brain. This is where the visual center of the brain is located.
      - >-
        Subconjunctival hemorrhage facts. 1  The conjunctiva is the thin tissue
        that covers the sclera. 2  It is the outermost protective coating of the
        eyeball. 3  The small blood vessels within the conjunctiva may break
        spontaneously or from injury, causing a red area on the sclera,
        resulting in a subconjunctival hemorrhage.
      - >-
        To test visual sensitivity a more careful experiment must be performed.
        The retina at the back of the human eye has two types of receptors,
        known as cones and rods. The cones are responsible for colour vision,
        but are much less sensitive to low light than the rods. In bright light
        the cones are active and the iris is stopped down. This is called
        photopic vision. When we enter a dark room, the eyes first adapt by
        opening up the iris to allow more light in.
      - >-
        1 If the condition affects the top, outer side of the front of the
        eyelids, it is called anterior blepharitis, a condition with a disease
        process similar to that of seborrheic dermatitis of the face and scalp.
        Blepharitis is an inflammatory condition affecting the area around the
        base of the eyelashes. 2  It can be acute, but that form is better
        described as eyelid infection (bacterial or viral), whereas chronic
        forms of the inflammation are diagnosed as blepharitis.
      - >-
        Vitrectomy (Trans Pars Plana Vitrectomy). Vitrectomy is the surgical
        removal of vitreous gel from the middle and back of the inner eye. The
        vitreous gel fills the back 80% of the inner eye, otherwise known as the
        vitreous cavity, which is directly in front of the retina.
  - source_sentence: 제51회 전국소년체육대회 부산광역시 선수단복 제작 제안서 평가  수행실적에 대한 점수는  점일까
    sentences:
      - >-
        제안요청서<br>사업명 : 제51회 전국소년체육대회 부산광역시 선수 및 임원 단복 제작 <table><tbody><tr><td
        colspan='2'>구분</td><td>평가항목</td><td>배점한도</td></tr><tr><td
        colspan='2'>계</td><td><br></td><td>100</td></tr><tr><td
        rowspan='10'>기술능력평가</td><td rowspan='3'>정량적
        평가분야(30점)</td><td>·수행실적</td><td>10</td></tr><tr><td>·신인도(신용평가등급)</td><td>10</td></tr><tr><td>·기술인력보유정도(의류디자인관련자격)</td><td>10</td></tr><tr><td
        rowspan='7'>정성적 평가분야(70점)</td><td>·원단 등 품질 및
        내구성</td><td>20</td></tr><tr><td>·활동성</td><td>10</td></tr><tr><td>·섬유혼용률

        통풍성</td><td>10</td></tr><tr><td>·마감처리</td><td>10</td></tr><tr><td>·색상</td><td>10</td></tr><tr><td>·제안
        내용 충실도</td><td>5</td></tr><tr><td>·하자 보수
        전략</td><td>5</td></tr></tbody></table>
      - >-
        제41회 전국장애인체육대회 대구광역시 선수단 단체복 제작 입찰공고 제안요청서
        <table><tbody><tr><td>구분</td><td
        colspan='2'>평가항목</td><td>평가요소</td><td>배점한도</td><td>비고</td></tr><tr><td><br></td><td
        colspan='2'><br></td><td>배점총계</td><td>100</td><td><br></td></tr><tr><td
        rowspan='7'>기술능력평가(80)</td><td colspan='2'
        rowspan='4'>정량적지표(20)</td><td>○ 기술인력보유<br>- 공고일 이전 6개월 이상 근무자 중의류 관련
        국가기술 자격증 보유 여부</td><td>5</td><td rowspan='4'>사업담당자평가</td></tr><tr><td>○
        납품실적증명</td><td>5</td></tr><tr><td>○ 신용평가등급</td><td>5</td></tr><tr><td>○
        국세․지방세 완납</td><td>5</td></tr><tr><td rowspan='3'>정성적지표(60)</td><td>디자인 및
        색상</td><td>○ 디자인의 세련미, 최신 트랜드 반영<br>- 본 대회 이미지와 부합<br>○ 디자인과 색상의
        조화</td><td>30</td><td rowspan='3'>평가위원평가</td></tr><tr><td>품질관리</td><td>○
        제안의 충실도, 적합성<br>- 기한내 제작/납품, 계획성 및 준비성<br>○ 품질관리 및 사후
        A/S계획</td><td>10</td></tr><tr><td>완제품평가</td><td>○ 사용원단 및 부자재 품질<br>- 오염,
        흠, 조직 등<br>- 친환경, 기능성 소재 사용<br>○ 착용감 및 활동성<br>○ 봉제 분야<br>- 스티치, 봉제 및 봉제
        마무리 <br>- 단추, 지퍼, 라벨 등 기타 악세서리 <br>○ 부착 및 밸런스 유지<br>- 각 부분 실밥 마무리
        정리</td><td>20</td></tr><tr><td>가격평가(20)</td><td colspan='3'>입찰가격 평점산식에
        의한 평가</td><td>20</td><td><br></td></tr></tbody></table>
      - >-
        제51회 전국소년체육대회 선수단 단복 구매 제안요청서<br> <table><tbody><tr><td
        rowspan='2'>항목</td><td rowspan='2'>심사내용(기준)</td><td
        rowspan='2'>배점</td><td colspan='5'>평점</td><td
        rowspan='2'>비고</td></tr><tr><td>A</td><td>B</td><td>C</td><td>D</td><td>E</td></tr><tr><td>품질</td><td>∘
        사용 원단의 품질<br>∘ 주요 부분 재봉처리의 견고성<br>∘ 사용 부속품의
        품질</td><td>20</td><td>20</td><td>17</td><td>14</td><td>11</td><td>8</td><td><br></td></tr><tr><td>착용감</td><td>∘
        활용도가 높고 편안한
        정도</td><td>10</td><td>10</td><td>8</td><td>6</td><td>4</td><td>2</td><td><br></td></tr><tr><td>실용성</td><td>∘
        통풍 및 땀 배출의 용이성 <br>∘ 물품 소지 등의
        용이성</td><td>10</td><td>10</td><td>8</td><td>6</td><td>4</td><td>2</td><td><br></td></tr><tr><td>디자인
        및 미적수준</td><td>∘ 상․하 칼라의 조화<br>∘ 세련미와 미적 감각의 조화<br>∘ 칼라와 전체적인 조화<br>∘
        디자인의 특징(의도)<br>∘ 본 대회와의
        적합성(이미지)</td><td>30</td><td>30</td><td>25</td><td>20</td><td>15</td><td>10</td><td><br></td></tr><tr><td
        colspan='2'>배점총계</td><td>70</td><td
        colspan='5'><br></td><td><br></td></tr></tbody></table>
      - >-
        제51회 전국소년체육대회 참가선수단 단복 선정‧제작 제안요청서<br>울산광역시교육청 [체육예술건강과]
        <table><tbody><tr><td>순</td><td>영역</td><td>선정
        내용</td><td>기준</td><td>배점</td></tr><tr><td>1</td><td>상징성</td><td>▪ 울산광역시를
        잘 나타낼 수 있는 색상, 모형의 제품</td><td>- 양호 16점~20점<br>- 보통 11점~15점<br>- 미달
        0점~10점</td><td>20점</td></tr><tr><td>2</td><td>기능성</td><td>▪ 통풍 및 땀 흡수력
        등이 뛰어난 고기능성 제품<br>▪ 걸을 때, 앉아 있을 때, 몸을 굽히거나 활동 시 외관의 변화 정도<br>▪ 직물의 무게로
        인한 활동 시 영향 유무</td><td>- 양호 16점~20점<br>- 보통 11점~15점<br>- 미달
        0점~10점</td><td>20점</td></tr><tr><td>3</td><td>심미성</td><td>▪ 전체적인 색상이 잘
        조화되어 배분되어 있는가?<br>▪ 선수단복은 청소년이 선호하는 스타일인가?<br>▪ 운동복으로서 색상 및 스타일의 전체적인
        조화가 아름다운가?</td><td>- 양호 16점~20점<br>- 보통 11점~15점<br>- 미달
        0점~10점</td><td>20점</td></tr><tr><td>4</td><td>내구성</td><td>▪ 색이 변형되지 않으며
        오래 견디는 정도</td><td>- 양호 16점~20점<br>- 보통 11점~15점<br>- 미달
        0점~10점</td><td>20점</td></tr><tr><td>5</td><td>실용성</td><td>▪ 활용도가 높고 편안한
        정도<br>▪ 투습성이 우수한 조직으로 개발된 다층구조 편성물인가?<br>▪ 부자재는 관리하기 쉽고 옷을 변형시키는지
        유무?</td><td>- 양호 16점~20점<br>- 보통 11점~15점<br>- 미달
        0점~10점</td><td>20점</td></tr><tr><td><br></td><td colspan='2'>계</td><td
        colspan='2'>100점</td></tr></tbody></table>
      - >-
        제51회 전국소년체육대회 선수단 단복 구매 제안요청서<br> <table><tbody><tr><td
        rowspan='2'>항목</td><td rowspan='2'>심사내용(기준)</td><td
        rowspan='2'>배점</td><td colspan='5'>평점</td><td
        rowspan='2'>비고</td></tr><tr><td>A</td><td>B</td><td>C</td><td>D</td><td>E</td></tr><tr><td>품질</td><td>∘
        사용 원단의 품질<br>∘ 주요 부분 재봉처리의 견고성<br>∘ 사용 부속품의
        품질</td><td>20</td><td>20</td><td>17</td><td>14</td><td>11</td><td>8</td><td><br></td></tr><tr><td>착용감</td><td>∘
        활용도가 높고 편안한
        정도</td><td>10</td><td>10</td><td>8</td><td>6</td><td>4</td><td>2</td><td><br></td></tr><tr><td>실용성</td><td>∘
        통풍 및 땀 배출의 용이성 <br>∘ 물품 소지 등의
        용이성</td><td>10</td><td>10</td><td>8</td><td>6</td><td>4</td><td>2</td><td><br></td></tr><tr><td>디자인
        및 미적수준</td><td>∘ 상․하 칼라의 조화<br>∘ 세련미와 미적 감각의 조화<br>∘ 칼라와 전체적인 조화<br>∘
        디자인의 특징(의도)<br>∘ 본 대회와의
        적합성(이미지)</td><td>30</td><td>30</td><td>25</td><td>20</td><td>15</td><td>10</td><td><br></td></tr><tr><td
        colspan='2'>배점총계</td><td>70</td><td
        colspan='5'><br></td><td><br></td></tr></tbody></table>
      - >-
        제51회 전국소년체육대회 광주광역시 선수 및 임원 단복 구매 제안요청서
        <table><tbody><tr><td>평가부문</td><td>항목</td><td>평가요소</td><td>배점</td></tr><tr><td
        rowspan='7'>정성평가</td><td>색상</td><td>- 각 색감이 뚜렷하며 밝은 정도<br>- 남·녀 공용과
        일상생활에도 활용도 높은 색상 여부 </td><td>10</td></tr><tr><td>디자인(외관)</td><td>- 전체적인
        디자인이 세련되고 눈에 잘 띄며 산뜻한 정도<br>- 상․하복 컬러 및 부속품(모자 등)과의 조화 정도<br>- 광주광역시교육청을
        상징할 수 있는 상징성 적용 정도<br>- 남·녀 착용이 가능하고 일상생활(훈련 등)에 착용
        편리성</td><td>15</td></tr><tr><td>시제품 준비</td><td>-,시제품 수량이 일치 여부- 디자인과 색상이
        다양한 제품 준비 여부</td><td>5</td></tr><tr><td>기능성 및 실용성</td><td>- 운동복으로서 쾌적한
        체온유지 및 통풍과 운동 시의 피부 신장에 따른 운동복 여유분과 탄력성 유무?<br>- 걸을 때, 앉아 있을 때, 몸을 굽히거나
        활동 시 외관 변화 정도 <br>- 직물의 무게로 인한 활동 시 영향 유무<br>- 일상생활 활용도가 높고 활동 시 편안한 착용감
        정도</td><td>15</td></tr><tr><td>소재 및 부속품</td><td>- 투습성이 우수한 조직의 다층구조 편성물
        소재인가?<br>- 사용 부자재가 관리하기 쉽고 옷을 변형시키는지 여부<br>- 안감, 단추, 스냅, 훅, 벨크로, 지퍼 등
        부속품의 의복 겉감과 조화되는 색상, 형태인지 유무?</td><td>10</td></tr><tr><td>봉제상태</td><td>-
        바느질의 간격이 적당하고 겹쳐박힌 부분 없는지<br>- 소재에 알맞은 끝처리를 했는지<br>- 단처리 부분의 시접상태 및
        변형여부<br>- 칼라는 몸판에 편안히 놓여있는지<br>- 칼라 끝의 모양이 잘 잡혀 있는지 <br>- 옷의 뒤틀림은
        없는가?<br>- 겨드랑이, 가랑이 등 인장을 받는 곳의 보강스티치(리본, 끈과 함께 봉제 되었는지
        유무)</td><td>10</td></tr><tr><td>관리성 및 내구성</td><td>- 내세탁성 및 손질의 용이성?<br>-
        색이 변하지 않고 변형되지 않으며 오래 견디는 정도?</td><td>5</td></tr><tr><td
        rowspan='3'>정량평가</td><td>기술인력 보유정도(의류 디자인⋅설계 및 품질관리 관련자격)</td><td>1. 기술사
        보유 (10점)<br>2. 기사 또는 산업기사 보유 (8점)<br>3. 기능사 보유 (6점)<br>4. 미보유
        (4점)</td><td>10</td></tr><tr><td>사업수행실적</td><td>1. 1억 2천만원 이상
        (10점)<br>2. 1억원 이상 ~1억 2천만원 미만(8점)<br>3. 8천만원 이상~1억원 미만 (6점)<br>4. 8천만원
        미만 (4점)</td><td>10</td></tr><tr><td>경영상태</td><td>1. 아래표의 “1”번(10점)<br>2.
        아래표의 “2”번(8점)<br>3. 아래표의 “3”번(6점)<br>4. 아래표의
        “4”번(4점)</td><td>10</td></tr><tr><td>합계</td><td
        colspan='3'>100점</td></tr></tbody></table>
  - source_sentence: Who gave the title of Champion of Christ to John Hyundai?
    sentences:
      - >-
        Jehovah's Witnesses believe that Jesus Christ began to rule in heaven as
        king of God's kingdom in October 1914, and that Satan was subsequently
        ousted from heaven to the earth, resulting in "woe" to humanity. They
        believe that Jesus rules invisibly, from heaven, perceived only as a
        series of "signs". They base this belief on a rendering of the Greek
        word parousia—usually translated as "coming" when referring to Christ—as
        "presence". They believe Jesus' presence includes an unknown period
        beginning with his inauguration as king in heaven in 1914, and ending
        when he comes to bring a final judgment against humans on earth. They
        thus depart from the mainstream Christian belief that the "second
        coming" of Matthew 24 refers to a single moment of arrival on earth to
        judge humans.
      - >-
        John Calvin supported the "agent of God" Christology and argued that in
        his trial in Pilate's Court Jesus could have successfully argued for his
        innocence, but instead submitted to crucifixion in obedience to the
        Father. This Christological theme continued into the 20th century, both
        in the Eastern and Western Churches. In the Eastern Church Sergei
        Bulgakov argued that the crucifixion of Jesus was "pre-eternally"
        determined by the Father before the creation of the world, to redeem
        humanity from the disgrace caused by the fall of Adam. In the Western
        Church, Karl Rahner elaborated on the analogy that the blood of the Lamb
        of God (and the water from the side of Jesus) shed at the crucifixion
        had a cleansing nature, similar to baptismal water.
      - >-
        Jehovah's Witnesses believe that Jesus Christ began to rule in heaven as
        king of God's kingdom in October 1914, and that Satan was subsequently
        ousted from heaven to the earth, resulting in "woe" to humanity. They
        believe that Jesus rules invisibly, from heaven, perceived only as a
        series of "signs". They base this belief on a rendering of the Greek
        word parousia—usually translated as "coming" when referring to Christ—as
        "presence". They believe Jesus' presence includes an unknown period
        beginning with his inauguration as king in heaven in 1914, and ending
        when he comes to bring a final judgment against humans on earth. They
        thus depart from the mainstream Christian belief that the "second
        coming" of Matthew 24 refers to a single moment of arrival on earth to
        judge humans.
      - >-
        Jehovah's Witnesses believe that Jesus Christ began to rule in heaven as
        king of God's kingdom in October 1914, and that Satan was subsequently
        ousted from heaven to the earth, resulting in "woe" to humanity. They
        believe that Jesus rules invisibly, from heaven, perceived only as a
        series of "signs". They base this belief on a rendering of the Greek
        word parousia—usually translated as "coming" when referring to Christ—as
        "presence". They believe Jesus' presence includes an unknown period
        beginning with his inauguration as king in heaven in 1914, and ending
        when he comes to bring a final judgment against humans on earth. They
        thus depart from the mainstream Christian belief that the "second
        coming" of Matthew 24 refers to a single moment of arrival on earth to
        judge humans.
      - >-
        Jehovah's Witnesses believe that Jesus Christ began to rule in heaven as
        king of God's kingdom in October 1914, and that Satan was subsequently
        ousted from heaven to the earth, resulting in "woe" to humanity. They
        believe that Jesus rules invisibly, from heaven, perceived only as a
        series of "signs". They base this belief on a rendering of the Greek
        word parousia—usually translated as "coming" when referring to Christ—as
        "presence". They believe Jesus' presence includes an unknown period
        beginning with his inauguration as king in heaven in 1914, and ending
        when he comes to bring a final judgment against humans on earth. They
        thus depart from the mainstream Christian belief that the "second
        coming" of Matthew 24 refers to a single moment of arrival on earth to
        judge humans.
      - >-
        At the end of the 15th century the Ottoman Empire advanced all over
        Southeastern Europe, eventually conquering the Byzantine Empire and
        extending control over the Balkan states. Hungary was the last bastion
        of the Latin Christian world in the East, and fought to keep its rule
        over a period of two centuries. After the tragic death of the young king
        Vladislaus I of Hungary during the Battle of Varna in 1444 against the
        Ottomans, the Kingdom was placed in the hands of count John Hunyadi, who
        became Hungary's regent-governor (1446–1453). Hunyadi was considered one
        of the most relevant military figures of the 15th century: Pope Pius II
        awarded him the title of Athleta Christi or Champion of Christ for being
        the only hope of resisting the Ottomans from advancing to Central and
        Western Europe.
  - source_sentence: united nations high commissioner for human rights address
    sentences:
      - 1. What are human rights?
      - >-
        The Universal Declaration of Human Rights was drafted from early 1947 to
        late 1948 by Drafting Committee the first United Nations Commission on
        Human Rights. Further discussion and amendments were made by the
        Commission on Human Rights, the Economic and Social Council and the
        General Assembly of the United Nations.
      - >-
        The following is a sample text in Bengali of Article 1 of the Universal
        Declaration of Human Rights:
      - >-
        Office of the United Nations High Commissioner for Human Rights The
        office is headed by the High Commissioner for Human Rights, who
        co-ordinates human rights activities throughout the UN System and
        supervises the Human Rights Council in Geneva, Switzerland. As of 1
        September 2014, the current High Commissioner is Prince Zeid bin
        Ra'ad.[4] The General Assembly approved on 16 June 2014 his appointment
        by the United Nations Secretary-General. He is the seventh individual to
        lead the OHCHR and the first Asian, Muslim, Arab, and prince to do so.
      - >-
        — Message by Secretary-General Ban Ki-Moon for the second observance
        of the Holocaust Victims Memorial Day on 19 January 2008[3]
      - The New York State Human Rights Law
pipeline_tag: sentence-similarity
library_name: sentence-transformers

SentenceTransformer based on seongil-dn/unsupervised_20m_2600

This is a sentence-transformers model finetuned from seongil-dn/unsupervised_20m_2600. It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

Model Details

Model Description

  • Model Type: Sentence Transformer
  • Base model: seongil-dn/unsupervised_20m_2600
  • Maximum Sequence Length: 1024 tokens
  • Output Dimensionality: 1024 dimensions
  • Similarity Function: Cosine Similarity

Model Sources

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 1024, 'do_lower_case': False}) with Transformer model: XLMRobertaModel 
  (1): Pooling({'word_embedding_dimension': 1024, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
  (2): Normalize()
)

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("seongil-dn/bge-m3-2600-steps-672")
# Run inference
sentences = [
    'united nations high commissioner for human rights address',
    "Office of the United Nations High Commissioner for Human Rights The office is headed by the High Commissioner for Human Rights, who co-ordinates human rights activities throughout the UN System and supervises the Human Rights Council in Geneva, Switzerland. As of 1 September 2014, the current High Commissioner is Prince Zeid bin Ra'ad.[4] The General Assembly approved on 16 June 2014 his appointment by the United Nations Secretary-General. He is the seventh individual to lead the OHCHR and the first Asian, Muslim, Arab, and prince to do so.",
    'The Universal Declaration of Human Rights was drafted from early 1947 to late 1948 by Drafting Committee the first United Nations Commission on Human Rights. Further discussion and amendments were made by the Commission on Human Rights, the Economic and Social Council and the General Assembly of the United Nations.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 1024]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]

Training Details

Training Dataset

Unnamed Dataset

  • Size: 1,138,596 training samples
  • Columns: anchor, positive, negative, negative_2, negative_3, negative_4, and negative_5
  • Approximate statistics based on the first 1000 samples:
    anchor positive negative negative_2 negative_3 negative_4 negative_5
    type string string string string string string string
    details
    • min: 5 tokens
    • mean: 35.82 tokens
    • max: 849 tokens
    • min: 17 tokens
    • mean: 274.93 tokens
    • max: 1024 tokens
    • min: 5 tokens
    • mean: 332.84 tokens
    • max: 1024 tokens
    • min: 6 tokens
    • mean: 336.51 tokens
    • max: 1024 tokens
    • min: 5 tokens
    • mean: 333.56 tokens
    • max: 1024 tokens
    • min: 6 tokens
    • mean: 335.66 tokens
    • max: 1024 tokens
    • min: 4 tokens
    • mean: 331.88 tokens
    • max: 1024 tokens
  • Samples:
    anchor positive negative negative_2 negative_3 negative_4 negative_5
    why do some cultures eat bugs Despite the fact that 80% of the world’s cultures eat insects (that’s right: the US is in the minority here) most people in our culture consider insects simply to be pests.But when you consider the logic of bugs as food, from an ecological, financial, and global perspective, they start to seem a lot more palatable.nd the number one reason to eat insects is…. 1. Insects are a great, inexpensive, green source of the protein desperately needed by starving peoples. If we can help create a market and funding for it, there is the potential to help spread nourishment throughout the planet. Here are some modern examples of countries that eat bugs. In Japan, they say, you can buy cans of baby bees and grasshoppers. In China, try the water beetles in ginger and soy sauce. Some Australians fancy sautéed grubs and naturally sweet honeypot ants. Many cultures already elnicud insects 8. eat insects out of coheci 9. eating insects is sdgtsungii 10. the nefetsib of eating bugs 11. the New tntiSicse magazine 12. insects are fsattniac Answers – Synonym Match 1. c 2. h 3. j 4. f 5.d 6. 7. i 8. a 9. e 10.any cultures already elnicud insects 8. eat insects out of coheci 9. eating insects is sdgtsungii 10. the nefetsib of eating bugs 11. the New tntiSicse magazine 12. insects are fsattniac Answers – Synonym Match 1. c 2. h 3. j 4. f 5. Most cultures in the world not only eat insects, but in many cases find them to be a delicacy. 5. If insects themselves were deemed a food crop, imagine how much we could cut down on pesticide use, and its associated environmental damage.4.nd the number one reason to eat insects is…. 1. Insects are a great, inexpensive, green source of the protein desperately needed by starving peoples. If we can help create a market and funding for it, there is the potential to help spread nourishment throughout the planet. In the U.S. and most of the industrialized world, no one eats insects, but in at least 113 countries people eat and relish bugs. This practice is not likely to catch on in Europe and the U.S., except for the sea-going equivalent of insects, arthropods such as crab, lobster, and shrimp, which are delicacies. Indigenous people in many countries eat insects, including consuming the larvae and pupae of bees, mostly stingless bees. They also gather bee brood (the larvae, pupae and surrounding cells) for consumption.
    How is anything alive at all if everything is just made of atoms? If someone created an exact replica of all their molecules would that thing be alive? you might try /r/philosophy. the long and short of it is that life is a complex chemical process, and things are alive while that chemical process is functioning. if someone created an exact copy of all of your molecules, and started them functioning exactly as before, then the new copy would "live", regardless of if it was you or not. Life is a verb that chemistry does, just as mind is a verb brain does. this is much more complicated then i am making it seem, and the problem of the transporter still applies (URL_0), but hopefully this is a starting point for you. In addition to the other good answers already here, there's also the fact that not only do we not know how life did originate, we don't yet have any idea how it could have originated. We know that commonplace chemical reactions can create simple molecules called amino acids. These are found in nature all the time, even way out in space. But life isn't made of amino acids. Life is made of proteins, which are vast molecules made up of many, many amino acids meticulously tinker-toyed together. We know — to an extent — how proteins are made now. They're made inside cells … in carefully controlled environments, assembled by hugely complex chains of chemical reactions involving special-purpose molecules which themselves must be synthesized through complex chains of reactions in carefully controlled environments. Figuring out how any of this could have happened "in the wild," so to speak, is one of the great unsolved mysteries. Most of our DNA and cell structure is carbon, yes. In each molecule of bio-material, a majority of what you are is carbon by weight. And yes, it is a theory that life could also exist based on other elements like silicon because it creates the same number of bonds in a molecule as carbon does, and so it would behave in a similar way matter and anti-matter have the exact same characteristics. if everything around us was made of anti-matter instead of matter, there would be no difference whatsoever As far as I’m aware, all DNA for living things is made from ATCG on Earth. There are viruses and such that use single and double stranded RNA which contains uracil instead of thymine, but those are generally not considered to be living things. Bacteria, as every other living being, are made of proteins, lipids, nucleic acids and carbohydrates. When the bacteria is alive, they're organized in a "design" (please note the quote marks before attacking me, atheist crowd) that makes them work in a way that the bacteria is able to do all the organic processes involved in "living". The death of the bacteria is simply the irreversible disorganization of the "design" that leads to them not being able to keep living. So yeah, the lipids, carbohydrates, proteins and nucleic acids (aka bacteria corpses) are left behind.
    핀테크 지업지원 성과분석 용역 제안서의 제안 개요 중 요청사항 수용 여부는 무엇을 제시하고 있어 「핀테크 기업지원 성과분석 조사」 위탁용역 제안요청서
    Ⅳ 제안서 작성 및 일반사항
    구분작성내용
    1. 제안사 소개
    일반현황· 제안사의 주요 연혁을 간단․명료하게 제시
    조직 및 인원 현황· 제안사의 조직 및 인력현황 기술
    2. 제안 개요
    제안 목적 및 범위· 본 사업 제안 목적 및 범위 기술
    참여인력 및 이력사항· 본 사업 참여인력의 이력사항 총괄표로 기술
    · 참여인력의 세부 이력사항 기술
    요청사항 수용 여부· 제안요청사항 수용 여부 및 미수용시 대안 제시
    제안사의 특장점· 제안사만의 특장점 기재
    3. 사업수행 및 관리
    사업내용 및 범위· 사업 추진 내용별 추진방안 명시
    · 사업 추진체계 및 보고체계 명시
    인력구성 및 업무분장· 수행조직, 투입인력(상주/비상주 구분), 투입인력별 업무분장 내용 제시
    추진일정 계획· 사업 일정에 맞게 세부 추진내용 기재(제안요청서 상에 언급된 내용전부)
    · 추진일정 지연 시 대처 방안 제시
    결과물 품질 관리· 산출물의 종류 및 내역, 제출시기 등을 기술
    · 산출물, 품질관리, 일정관리 방안 제시
    4. 기타
    기타 제안사항· 제안요청사항 외에 추가 ... 제안요청서- 비대면 서비스 바우처 사업 성과조사 용역 -
    창업진흥원 <...
    구분평가항목항목배점배점
    정량평가(10점)경영상태▪기업신용평가등급1010점
    정성평가(70점)일반현황▪제안업체의 본 과업에 대한 전문성 및 적합성515점
    ▪제안업체의 관련분야 연구·분석 노하우 수준5
    ▪제안업체의 조직구성 및 역량 수준5
    과업내용 이해도▪제안요청서와 제안서의 부합 정도510점
    ▪과업의 목적, 내용 등에 대한 전반적 이해도5
    제안내용▪제안서 작성의 충실도 및 제안의 적극성510점
    ▪제안내용의 논리성 및 구체성5
    수행능력▪수행인력의 전문성(관련 연구·분석 역량 및 경력)525점
    ▪과업 관련 정보·자료의 확보 용이성10
    ▪과업수행을 위한 시설·장비 등 자원 확보 수준5
    ▪유사사업 수행 경험에 따른 해당 과업 적정성 및 효율성5
    제안요청서
    용역명 2022년도 스포츠산업융자(튼튼론) 업무지원 용역
    심사항목평가항목배점심사배점
    ABCDE
    사업운영 역량ㅇ 운영역량 및 제안사의 특장점554321
    과업이해도ㅇ 제안요청서와의 부합성
    ㅇ 과업의 목적 및 필요성에 대한 이해도
    ㅇ 사업수행 목표 및 운영전략의 타당성
    20201714118
    과업수행전략ㅇ 과업목표 달성을 위한 전략의 체계성
    ㅇ 과업 진행단계별 수행전략의 합리성
    20201714118
    수행인력 구성ㅇ 과업목적 및 계획에 부합하는 수행인력 역량
    ㅇ 과업 팀 편성 체계, 유사 업무 수행사례
    1515131197
    정보보안 관리방안ㅇ 개인정보 보호 및 수행결과물 유출방지 방안의 적정성
    ㅇ 시스템 보안유지 강화 방안의 적정성
    1515131197
    정책목적 부합도ㅇ 본 과업 추진에 있어 제안사의 특장점 『디지털 전환 서비스 만족도 조사』 용역 과제 제안요청서
    평가부문평가 지표배점
    일반부문(20점)• 제안내용이 제안요청 내용을 정확히 포함하고 있는가?/ 10점
    • 사업추진계획 및 전략 등이 사업 수행 목표 달성에 적합한가?/ 10점
    사업수행(30점)• 과제별 세부추진 내용 및 수행방법이 적합한가?/ 15점
    • 추진방안 및 일정 등이 명확하게 제시되어 있는가?/ 15점
    운영역량(30점)• 조사역량 및 사업에 대한 전반적인 이해도가 있는가?/ 20점
    • 보유한 인력 활용 방안이 타당한가?/ 10점
    지원내역(20점)• 해당 사업에 대한 수행의지 및 적극성이 충분한가?/ 20점
    합계/100점
    「지역 디지털서비스 도입 및 이용활성화 방안에 관한 연구」제안요청서
    목차작성내용
    1. 제안업체 현황∘ 연혁 및 일반현황(조직, 주요 사업 등)
    ∘ 유사 용역실적 및 제안내용의 장‧단점 등
    2. 용역범위 (제안 개요)∘ 제안의 배경 및 목적
    ∘ 과업의 범위, 기대효과, 용역 결과 활용방안 등
    3. 용역수행계획∘ 과업 추진전략 및 수행방법
    ∘ 추진팀 구성 및 개인별 업무분장 내역
    ∘ 과업 추진 세부계획(추진일정, 절차 등 포함)
    4. 용역참여인력∘ 참여 인력의 학력, 경력, 자격증 및 관련분야 해당 실적 등을 구체적으로 작성
    5. 기타 참고사항∘ 정보 및 자료에 대한 비밀보장 등 보안준수 방안
    ∘ 사업추진 지연시 대책
    ∘ 원활한 과업수행을 위해 발주기관에 요청할 사항
    제안 요청서
    사업명 농어촌지하수관리시스템 기능개발 및 유지관리 용역
    평가척도(등급)척도기준가중치
    A- 모든 요구사항이 충족되며, 관련 보유기술, 경험 등이 객관적 자료를 통하여 증빙된다.
    - 제안은 요구사항을 완벽히 이해하고 있어 매우 높은 성공 가능성을 제공한다.
    - 결점 또는 약점이 없다.
    100%
    B- 요구사항이 대부분 충족되며, 관련 보유기술, 경험 등의 객관적 자료를 통하여 대부분 증빙된다.
    - 제안은 요구사항의 바람직한 이해를 보여주고 높은 성공 가능성을 제공한다.
    - 협의를 통하여 고칠 수 없는 결점 또는 약점이 없다.
    90%
    C- 요구사항을 기본적으로 충족시키나, 관련 보유기술, 경험 등의 객관적 자료를 통한 증빙이 미흡하다.
    - 제안은 요구사항의 기본을 이해하고 성공의 적당한 가능성을 제공한다.
    - 결점과 약점은 있으나, 협의를 통하여 보완이 가능하다.
    80%
    D- 요구사항의 일부만 충족하며, 관련 보유기술, 경험 등에 대한 객관적 자료를 제시하지 못한다.
    - 제안은 요구사항을 낮은 수준으로 이해하고 있어, 성공 가능성이 낮다.
    - 결점과 약점에 대한 보완 가능성이 불확실하다.
    70%
    E- 요구사항을 충족하지 못한다.
    - 제안은 요구사항 대비 상당히 부족하고 성공에 필요한 요소를 제공하지 못한다.
    - 근본적인 결점과 약점이 존재하며, 현재의 제안으로는 보완이 불가능하다.
    60%
    F- 관련자격, 실적, 학위, 경력 등을 증명할 수 있는 자료제출이 ...
  • Loss: CachedGISTEmbedLoss with these parameters:
    {'guide': SentenceTransformer(
      (0): Transformer({'max_seq_length': 1024, 'do_lower_case': False}) with Transformer model: XLMRobertaModel 
      (1): Pooling({'word_embedding_dimension': 1024, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
      (2): Normalize()
    ), 'temperature': 0.01}
    
  • Training Hyperparameters

    Non-Default Hyperparameters

    • per_device_train_batch_size: 1024
    • learning_rate: 3e-05
    • weight_decay: 0.01
    • warmup_ratio: 0.05
    • bf16: True
    • batch_sampler: no_duplicates

    All Hyperparameters

    Click to expand
    • overwrite_output_dir: False
    • do_predict: False
    • eval_strategy: no
    • prediction_loss_only: True
    • per_device_train_batch_size: 1024
    • per_device_eval_batch_size: 8
    • per_gpu_train_batch_size: None
    • per_gpu_eval_batch_size: None
    • gradient_accumulation_steps: 1
    • eval_accumulation_steps: None
    • torch_empty_cache_steps: None
    • learning_rate: 3e-05
    • weight_decay: 0.01
    • adam_beta1: 0.9
    • adam_beta2: 0.999
    • adam_epsilon: 1e-08
    • max_grad_norm: 1.0
    • num_train_epochs: 3
    • max_steps: -1
    • lr_scheduler_type: linear
    • lr_scheduler_kwargs: {}
    • warmup_ratio: 0.05
    • warmup_steps: 0
    • log_level: passive
    • log_level_replica: warning
    • log_on_each_node: True
    • logging_nan_inf_filter: True
    • save_safetensors: True
    • save_on_each_node: False
    • save_only_model: False
    • restore_callback_states_from_checkpoint: False
    • no_cuda: False
    • use_cpu: False
    • use_mps_device: False
    • seed: 42
    • data_seed: None
    • jit_mode_eval: False
    • use_ipex: False
    • bf16: True
    • fp16: False
    • fp16_opt_level: O1
    • half_precision_backend: auto
    • bf16_full_eval: False
    • fp16_full_eval: False
    • tf32: None
    • local_rank: 0
    • ddp_backend: None
    • tpu_num_cores: None
    • tpu_metrics_debug: False
    • debug: []
    • dataloader_drop_last: True
    • dataloader_num_workers: 0
    • dataloader_prefetch_factor: None
    • past_index: -1
    • disable_tqdm: False
    • remove_unused_columns: True
    • label_names: None
    • load_best_model_at_end: False
    • ignore_data_skip: False
    • fsdp: []
    • fsdp_min_num_params: 0
    • fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
    • fsdp_transformer_layer_cls_to_wrap: None
    • accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
    • deepspeed: None
    • label_smoothing_factor: 0.0
    • optim: adamw_torch
    • optim_args: None
    • adafactor: False
    • group_by_length: False
    • length_column_name: length
    • ddp_find_unused_parameters: None
    • ddp_bucket_cap_mb: None
    • ddp_broadcast_buffers: False
    • dataloader_pin_memory: True
    • dataloader_persistent_workers: False
    • skip_memory_metrics: True
    • use_legacy_prediction_loop: False
    • push_to_hub: False
    • resume_from_checkpoint: None
    • hub_model_id: None
    • hub_strategy: every_save
    • hub_private_repo: None
    • hub_always_push: False
    • gradient_checkpointing: False
    • gradient_checkpointing_kwargs: None
    • include_inputs_for_metrics: False
    • include_for_metrics: []
    • eval_do_concat_batches: True
    • fp16_backend: auto
    • push_to_hub_model_id: None
    • push_to_hub_organization: None
    • mp_parameters:
    • auto_find_batch_size: False
    • full_determinism: False
    • torchdynamo: None
    • ray_scope: last
    • ddp_timeout: 1800
    • torch_compile: False
    • torch_compile_backend: None
    • torch_compile_mode: None
    • dispatch_batches: None
    • split_batches: None
    • include_tokens_per_second: False
    • include_num_input_tokens_seen: False
    • neftune_noise_alpha: None
    • optim_target_modules: None
    • batch_eval_metrics: False
    • eval_on_start: False
    • use_liger_kernel: False
    • eval_use_gather_object: False
    • average_tokens_across_devices: False
    • prompts: None
    • batch_sampler: no_duplicates
    • multi_dataset_batch_sampler: proportional

    Training Logs

    Click to expand
    Epoch Step Training Loss
    0.0036 1 1.0035
    0.0072 2 1.0013
    0.0108 3 0.9976
    0.0144 4 0.9315
    0.0181 5 0.8939
    0.0217 6 0.925
    0.0253 7 0.8758
    0.0289 8 0.7911
    0.0325 9 0.7999
    0.0361 10 0.8074
    0.0397 11 0.7831
    0.0433 12 0.6904
    0.0469 13 0.7032
    0.0505 14 0.6597
    0.0542 15 0.6446
    0.0578 16 0.5892
    0.0614 17 0.6108
    0.0650 18 0.5843
    0.0686 19 0.5928
    0.0722 20 0.5435
    0.0758 21 0.5387
    0.0794 22 0.5645
    0.0830 23 0.516
    0.0866 24 0.5727
    0.0903 25 0.4964
    0.0939 26 0.4938
    0.0975 27 0.4561
    0.1011 28 0.5118
    0.1047 29 0.4615
    0.1083 30 0.4565
    0.1119 31 0.4723
    0.1155 32 0.4305
    0.1191 33 0.469
    0.1227 34 0.4461
    0.1264 35 0.4107
    0.1300 36 0.4047
    0.1336 37 0.4119
    0.1372 38 0.4117
    0.1408 39 0.4128
    0.1444 40 0.3741
    0.1480 41 0.4091
    0.1516 42 0.3774
    0.1552 43 0.3672
    0.1588 44 0.3985
    0.1625 45 0.3741
    0.1661 46 0.3719
    0.1697 47 0.3751
    0.1733 48 0.3333
    0.1769 49 0.3561
    0.1805 50 0.3728
    0.1841 51 0.3578
    0.1877 52 0.3539
    0.1913 53 0.3651
    0.1949 54 0.3664
    0.1986 55 0.3641
    0.2022 56 0.3522
    0.2058 57 0.3687
    0.2094 58 0.3326
    0.2130 59 0.3449
    0.2166 60 0.3513
    0.2202 61 0.3443
    0.2238 62 0.3323
    0.2274 63 0.325
    0.2310 64 0.3063
    0.2347 65 0.3194
    0.2383 66 0.3148
    0.2419 67 0.3394
    0.2455 68 0.3245
    0.2491 69 0.3182
    0.2527 70 0.3137
    0.2563 71 0.3357
    0.2599 72 0.3388
    0.2635 73 0.2944
    0.2671 74 0.3074
    0.2708 75 0.301
    0.2744 76 0.3048
    0.2780 77 0.3255
    0.2816 78 0.3255
    0.2852 79 0.3262
    0.2888 80 0.2935
    0.2924 81 0.3031
    0.2960 82 0.3035
    0.2996 83 0.2941
    0.3032 84 0.2819
    0.3069 85 0.2848
    0.3105 86 0.2981
    0.3141 87 0.2948
    0.3177 88 0.285
    0.3213 89 0.2966
    0.3249 90 0.2837
    0.3285 91 0.3058
    0.3321 92 0.2734
    0.3357 93 0.2805
    0.3394 94 0.2784
    0.3430 95 0.2771
    0.3466 96 0.2908
    0.3502 97 0.2713
    0.3538 98 0.264
    0.3574 99 0.3089
    0.3610 100 0.292
    0.3646 101 0.2696
    0.3682 102 0.2873
    0.3718 103 0.2865
    0.3755 104 0.2784
    0.3791 105 0.278
    0.3827 106 0.2622
    0.3863 107 0.279
    0.3899 108 0.2762
    0.3935 109 0.2783
    0.3971 110 0.2719
    0.4007 111 0.2812
    0.4043 112 0.2635
    0.4079 113 0.2675
    0.4116 114 0.2736
    0.4152 115 0.2606
    0.4188 116 0.274
    0.4224 117 0.2831
    0.4260 118 0.2701
    0.4296 119 0.2802
    0.4332 120 0.2795
    0.4368 121 0.2555
    0.4404 122 0.2824
    0.4440 123 0.2699
    0.4477 124 0.2777
    0.4513 125 0.2766
    0.4549 126 0.2548
    0.4585 127 0.2842
    0.4621 128 0.2557
    0.4657 129 0.2655
    0.4693 130 0.2653
    0.4729 131 0.2556
    0.4765 132 0.2687
    0.4801 133 0.2547
    0.4838 134 0.2541
    0.4874 135 0.2527
    0.4910 136 0.284
    0.4946 137 0.2388
    0.4982 138 0.2652
    0.5018 139 0.2317
    0.5054 140 0.2479
    0.5090 141 0.2522
    0.5126 142 0.2521
    0.5162 143 0.2387
    0.5199 144 0.2453
    0.5235 145 0.2598
    0.5271 146 0.2695
    0.5307 147 0.2508
    0.5343 148 0.2282
    0.5379 149 0.251
    0.5415 150 0.2337
    0.5451 151 0.2514
    0.5487 152 0.2514
    0.5523 153 0.2492
    0.5560 154 0.245
    0.5596 155 0.2721
    0.5632 156 0.2573
    0.5668 157 0.2353
    0.5704 158 0.2591
    0.5740 159 0.258
    0.5776 160 0.2484
    0.5812 161 0.2378
    0.5848 162 0.2407
    0.5884 163 0.2441
    0.5921 164 0.2474
    0.5957 165 0.2614
    0.5993 166 0.2399
    0.6029 167 0.2624
    0.6065 168 0.2364
    0.6101 169 0.2429
    0.6137 170 0.2456
    0.6173 171 0.216
    0.6209 172 0.2554
    0.6245 173 0.2438
    0.6282 174 0.2592
    0.6318 175 0.2357
    0.6354 176 0.245
    0.6390 177 0.2455
    0.6426 178 0.2622
    0.6462 179 0.2372
    0.6498 180 0.2189
    0.6534 181 0.2409
    0.6570 182 0.228
    0.6606 183 0.2452
    0.6643 184 0.2453
    0.6679 185 0.2518
    0.6715 186 0.2426
    0.6751 187 0.2412
    0.6787 188 0.2275
    0.6823 189 0.2538
    0.6859 190 0.253
    0.6895 191 0.2305
    0.6931 192 0.2408
    0.6968 193 0.2476
    0.7004 194 0.2117
    0.7040 195 0.2421
    0.7076 196 0.2543
    0.7112 197 0.2086
    0.7148 198 0.2258
    0.7184 199 0.2371
    0.7220 200 0.2311
    0.7256 201 0.2325
    0.7292 202 0.2291
    0.7329 203 0.2329
    0.7365 204 0.2586
    0.7401 205 0.2341
    0.7437 206 0.2296
    0.7473 207 0.2544
    0.7509 208 0.2301
    0.7545 209 0.2382
    0.7581 210 0.2406
    0.7617 211 0.2621
    0.7653 212 0.2284
    0.7690 213 0.2209
    0.7726 214 0.2247
    0.7762 215 0.2389
    0.7798 216 0.2492
    0.7834 217 0.2265
    0.7870 218 0.2324
    0.7906 219 0.2436
    0.7942 220 0.2447
    0.7978 221 0.2318
    0.8014 222 0.2283
    0.8051 223 0.2314
    0.8087 224 0.2071
    0.8123 225 0.227
    0.8159 226 0.2243
    0.8195 227 0.2135
    0.8231 228 0.2359
    0.8267 229 0.229
    0.8303 230 0.2328
    0.8339 231 0.2209
    0.8375 232 0.2264
    0.8412 233 0.2305
    0.8448 234 0.2267
    0.8484 235 0.2444
    0.8520 236 0.2315
    0.8556 237 0.2251
    0.8592 238 0.2209
    0.8628 239 0.2504
    0.8664 240 0.2386
    0.8700 241 0.2401
    0.8736 242 0.2227
    0.8773 243 0.2146
    0.8809 244 0.2349
    0.8845 245 0.226
    0.8881 246 0.2466
    0.8917 247 0.2326
    0.8953 248 0.2306
    0.8989 249 0.2119
    0.9025 250 0.2388
    0.9061 251 0.2088
    0.9097 252 0.2252
    0.9134 253 0.2042
    0.9170 254 0.2112
    0.9206 255 0.1963
    0.9242 256 0.2041
    0.9278 257 0.208
    0.9314 258 0.2105
    0.9350 259 0.2075
    0.9386 260 0.2154
    0.9422 261 0.2195
    0.9458 262 0.2124
    0.9495 263 0.2144
    0.9531 264 0.2019
    0.9567 265 0.2365
    0.9603 266 0.2514
    0.9639 267 0.2073
    0.9675 268 0.2042
    0.9711 269 0.2271
    0.9747 270 0.228
    0.9783 271 0.2101
    0.9819 272 0.1986
    0.9856 273 0.2196
    0.9892 274 0.2026
    0.9928 275 0.2157
    0.9964 276 0.2167
    1.0 277 0.211
    1.0036 278 0.1597
    1.0072 279 0.1624
    1.0108 280 0.1833
    1.0144 281 0.1767
    1.0181 282 0.1682
    1.0217 283 0.1547
    1.0253 284 0.1681
    1.0289 285 0.1655
    1.0325 286 0.1552
    1.0361 287 0.1762
    1.0397 288 0.1555
    1.0433 289 0.1733
    1.0469 290 0.1728
    1.0505 291 0.1573
    1.0542 292 0.1615
    1.0578 293 0.1627
    1.0614 294 0.1462
    1.0650 295 0.1638
    1.0686 296 0.1568
    1.0722 297 0.1511
    1.0758 298 0.1577
    1.0794 299 0.1603
    1.0830 300 0.1699
    1.0866 301 0.1641
    1.0903 302 0.1671
    1.0939 303 0.1671
    1.0975 304 0.1529
    1.1011 305 0.1706
    1.1047 306 0.1627
    1.1083 307 0.151
    1.1119 308 0.1682
    1.1155 309 0.1753
    1.1191 310 0.1464
    1.1227 311 0.1707
    1.1264 312 0.1595
    1.1300 313 0.1767
    1.1336 314 0.1581
    1.1372 315 0.1557
    1.1408 316 0.1728
    1.1444 317 0.1429
    1.1480 318 0.159
    1.1516 319 0.1804
    1.1552 320 0.1505
    1.1588 321 0.1608
    1.1625 322 0.1512
    1.1661 323 0.1572
    1.1697 324 0.173
    1.1733 325 0.1645
    1.1769 326 0.1692
    1.1805 327 0.1604
    1.1841 328 0.1422
    1.1877 329 0.1613
    1.1913 330 0.1525
    1.1949 331 0.1541
    1.1986 332 0.1601
    1.2022 333 0.1505
    1.2058 334 0.1463
    1.2094 335 0.1594
    1.2130 336 0.1533
    1.2166 337 0.148
    1.2202 338 0.1649
    1.2238 339 0.1604
    1.2274 340 0.1599
    1.2310 341 0.155
    1.2347 342 0.1457
    1.2383 343 0.1502
    1.2419 344 0.1534
    1.2455 345 0.1728
    1.2491 346 0.1531
    1.2527 347 0.1562
    1.2563 348 0.1579
    1.2599 349 0.155
    1.2635 350 0.1489
    1.2671 351 0.1585
    1.2708 352 0.1647
    1.2744 353 0.1522
    1.2780 354 0.1736
    1.2816 355 0.1569
    1.2852 356 0.1526
    1.2888 357 0.1568
    1.2924 358 0.1489
    1.2960 359 0.1547
    1.2996 360 0.1696
    1.3032 361 0.142
    1.3069 362 0.1455
    1.3105 363 0.1461
    1.3141 364 0.1542
    1.3177 365 0.1511
    1.3213 366 0.1503
    1.3249 367 0.176
    1.3285 368 0.156
    1.3321 369 0.1483
    1.3357 370 0.1553
    1.3394 371 0.1581
    1.3430 372 0.1354
    1.3466 373 0.1554
    1.3502 374 0.1508
    1.3538 375 0.1491
    1.3574 376 0.15
    1.3610 377 0.1566
    1.3646 378 0.1726
    1.3682 379 0.1521
    1.3718 380 0.1578
    1.3755 381 0.155
    1.3791 382 0.154
    1.3827 383 0.1533
    1.3863 384 0.1484
    1.3899 385 0.1555
    1.3935 386 0.1524
    1.3971 387 0.147
    1.4007 388 0.1424
    1.4043 389 0.169
    1.4079 390 0.1588
    1.4116 391 0.1733
    1.4152 392 0.1682
    1.4188 393 0.1368
    1.4224 394 0.1481
    1.4260 395 0.1552
    1.4296 396 0.1472
    1.4332 397 0.1605
    1.4368 398 0.1493
    1.4404 399 0.151
    1.4440 400 0.1483
    1.4477 401 0.1388
    1.4513 402 0.1448
    1.4549 403 0.1594
    1.4585 404 0.1561
    1.4621 405 0.1617
    1.4657 406 0.152
    1.4693 407 0.1563
    1.4729 408 0.1592
    1.4765 409 0.1501
    1.4801 410 0.1407
    1.4838 411 0.1567
    1.4874 412 0.1403
    1.4910 413 0.1497
    1.4946 414 0.1534
    1.4982 415 0.1441
    1.5018 416 0.1671
    1.5054 417 0.1493
    1.5090 418 0.1494
    1.5126 419 0.1519
    1.5162 420 0.156
    1.5199 421 0.1573
    1.5235 422 0.1356
    1.5271 423 0.1513
    1.5307 424 0.1424
    1.5343 425 0.1581
    1.5379 426 0.1582
    1.5415 427 0.1375
    1.5451 428 0.158
    1.5487 429 0.1425
    1.5523 430 0.1472
    1.5560 431 0.1562
    1.5596 432 0.1537
    1.5632 433 0.1478
    1.5668 434 0.1379
    1.5704 435 0.1513
    1.5740 436 0.1532
    1.5776 437 0.1353
    1.5812 438 0.1478
    1.5848 439 0.1612
    1.5884 440 0.1436
    1.5921 441 0.1438
    1.5957 442 0.1517
    1.5993 443 0.1481
    1.6029 444 0.1649
    1.6065 445 0.1417
    1.6101 446 0.175
    1.6137 447 0.1288
    1.6173 448 0.1593
    1.6209 449 0.1364
    1.6245 450 0.1578
    1.6282 451 0.1454
    1.6318 452 0.1356
    1.6354 453 0.1563
    1.6390 454 0.1552
    1.6426 455 0.1498
    1.6462 456 0.1292
    1.6498 457 0.1426
    1.6534 458 0.1391
    1.6570 459 0.1635
    1.6606 460 0.1436
    1.6643 461 0.1616
    1.6679 462 0.1439
    1.6715 463 0.1531
    1.6751 464 0.1574
    1.6787 465 0.1536
    1.6823 466 0.1437
    1.6859 467 0.159
    1.6895 468 0.1547
    1.6931 469 0.1334
    1.6968 470 0.1539
    1.7004 471 0.1383
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    2.4152 669 0.1123
    2.4188 670 0.126
    2.4224 671 0.1133
    2.4260 672 0.116

    Framework Versions

    • Python: 3.10.12
    • Sentence Transformers: 3.4.1
    • Transformers: 4.49.0
    • PyTorch: 2.5.1+cu124
    • Accelerate: 1.4.0
    • Datasets: 3.3.2
    • Tokenizers: 0.21.0

    Citation

    BibTeX

    Sentence Transformers

    @inproceedings{reimers-2019-sentence-bert,
        title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
        author = "Reimers, Nils and Gurevych, Iryna",
        booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
        month = "11",
        year = "2019",
        publisher = "Association for Computational Linguistics",
        url = "https://arxiv.org/abs/1908.10084",
    }