Add new SentenceTransformer model
Browse files- .gitattributes +1 -0
- 1_Pooling/config.json +10 -0
- README.md +1215 -0
- config.json +28 -0
- config_sentence_transformers.json +10 -0
- model.safetensors +3 -0
- modules.json +20 -0
- sentence_bert_config.json +4 -0
- special_tokens_map.json +51 -0
- tokenizer.json +3 -0
- tokenizer_config.json +63 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
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| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
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1_Pooling/config.json
ADDED
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@@ -0,0 +1,10 @@
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{
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"word_embedding_dimension": 1024,
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"pooling_mode_cls_token": true,
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"pooling_mode_mean_tokens": false,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false,
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"pooling_mode_weightedmean_tokens": false,
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"pooling_mode_lasttoken": false,
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"include_prompt": true
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}
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README.md
ADDED
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@@ -0,0 +1,1215 @@
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|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- sentence-transformers
|
| 4 |
+
- sentence-similarity
|
| 5 |
+
- feature-extraction
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
- dataset_size:1138596
|
| 8 |
+
- loss:CachedGISTEmbedLoss
|
| 9 |
+
base_model: seongil-dn/unsupervised_20m_2600
|
| 10 |
+
widget:
|
| 11 |
+
- source_sentence: where are dna nucleotides found
|
| 12 |
+
sentences:
|
| 13 |
+
- 'A: Nucleotides are made up of a phosphate group, a five-ring sugar and a nitrogenous
|
| 14 |
+
base. Nucleic acids, such as deoxyribonucleic acid (DNA) and ribonucleic (RNA),
|
| 15 |
+
contain repeating nucleotides. Nucleotides link together to form nucleic acids
|
| 16 |
+
by connecting the phosphate group of one nucleotide to the sugar of another. Continue
|
| 17 |
+
Reading'
|
| 18 |
+
- 'A nucleotide consists of three things: 1 A nitrogenous base, which can be either
|
| 19 |
+
adenine, guanine, cytosine, or thymine (in the case of RNA, thymine is replaced
|
| 20 |
+
by uracil). 2 A five-carbon sugar, called deoxyribose because it is lacking an
|
| 21 |
+
oxygen group on one of its carbons. 3 One or more phosphate groups.'
|
| 22 |
+
- 'Best Answer: The nucleus houses the cell''s DNA. The nucleus is only found in
|
| 23 |
+
eukaryotic cells. The nucleolus is an organelle inside the nucleus that houses
|
| 24 |
+
proteins and RNA. Also found in eukaryotic cells.The nucleoid is an irregularly
|
| 25 |
+
shaped region that houses genetic material.This is only found in prokaryotes.est
|
| 26 |
+
Answer: The nucleus houses the cell''s DNA. The nucleus is only found in eukaryotic
|
| 27 |
+
cells. The nucleolus is an organelle inside the nucleus that houses proteins and
|
| 28 |
+
RNA. Also found in eukaryotic cells. The nucleoid is an irregularly shaped region
|
| 29 |
+
that houses genetic material. This is only found in prokaryotes.'
|
| 30 |
+
- "A nucleotide is made up of one sugar molecule, one phosphate molecule and one\
|
| 31 |
+
\ of the four bases (adenine, guanine, thymine, cytosine). Here is the structural\
|
| 32 |
+
\ formula for t â\x80¦ he four nucleotides of DNA."
|
| 33 |
+
- Each nucleotide consists of a sugar (deoxyribose) bound on one side to a phosphate
|
| 34 |
+
group and bound on the other side to a nitrogenous base. There are two classes
|
| 35 |
+
of nitrogen bases called purines (double-ringed structures) and pyrimidines (single-ringed
|
| 36 |
+
structures). The four bases in DNA's alphabet are:he base pairs in DNA are adenine
|
| 37 |
+
with thymine and cytosine with guanine. DNA has a spiral staircase-like structure.
|
| 38 |
+
The steps are formed by the nitrogen bases of the nucleotides where adenine pairs
|
| 39 |
+
with thymine and cytosine with guanine. Photo courtesy U.S. National Library of
|
| 40 |
+
Medicine.
|
| 41 |
+
- "What are the names of the nucleotides found in DNA and RNA? In DNA, the four\
|
| 42 |
+
\ bases are: adenine, guanine, thymine, and cytosine.Each base is attached is\
|
| 43 |
+
\ attached to a sugar (deoxyribose) to form a nucleoside. Respectively, t â\x80\
|
| 44 |
+
¦ hese are: adenosine, guanosine, thymidine, and cytidine. In DNA, the four bases\
|
| 45 |
+
\ are: adenine, guanine, thymine, and cytosine. Each base is attached is attached\
|
| 46 |
+
\ to a sugar (deoxyribose) to form a nucleoside."
|
| 47 |
+
- source_sentence: what is the name of the region at the back of the eye
|
| 48 |
+
sentences:
|
| 49 |
+
- 'The eyeball has 3 main layers: the sclera, the uvea, and the retina. Sclera:
|
| 50 |
+
The sclera is the tough, white covering over most of the outside of the eyeball.
|
| 51 |
+
In the front of the eye it is continuous with the cornea, which is clear to let
|
| 52 |
+
light through. Uvea: The uvea is the middle layer of the eyeball.ntraocular melanoma
|
| 53 |
+
(melanoma of the eye). Intraocular melanoma is the most common type of cancer
|
| 54 |
+
that develops within the eyeball in adults, but it is still fairly rare. Melanomas
|
| 55 |
+
of the skin are much more common than intraocular melanomas.'
|
| 56 |
+
- The beginning of the optic nerve in the retina is called the optic nerve head
|
| 57 |
+
or optic disc. Since there are no photoreceptors (cones and rods) in the optic
|
| 58 |
+
nerve head, this area of the retina cannot respond to light stimulation.As a result,
|
| 59 |
+
it is known as the blind spot, and everybody has one in each eye.rom there, the
|
| 60 |
+
nerve fibers become the optic tract, passing through the thalamus and turning
|
| 61 |
+
into the optic radiation until they reach the visual cortex in the occipital lobe
|
| 62 |
+
at the back of the brain. This is where the visual center of the brain is located.
|
| 63 |
+
- Subconjunctival hemorrhage facts. 1 The conjunctiva is the thin tissue that covers
|
| 64 |
+
the sclera. 2 It is the outermost protective coating of the eyeball. 3 The small
|
| 65 |
+
blood vessels within the conjunctiva may break spontaneously or from injury, causing
|
| 66 |
+
a red area on the sclera, resulting in a subconjunctival hemorrhage.
|
| 67 |
+
- To test visual sensitivity a more careful experiment must be performed. The retina
|
| 68 |
+
at the back of the human eye has two types of receptors, known as cones and rods.
|
| 69 |
+
The cones are responsible for colour vision, but are much less sensitive to low
|
| 70 |
+
light than the rods. In bright light the cones are active and the iris is stopped
|
| 71 |
+
down. This is called photopic vision. When we enter a dark room, the eyes first
|
| 72 |
+
adapt by opening up the iris to allow more light in.
|
| 73 |
+
- 1 If the condition affects the top, outer side of the front of the eyelids, it
|
| 74 |
+
is called anterior blepharitis, a condition with a disease process similar to
|
| 75 |
+
that of seborrheic dermatitis of the face and scalp. Blepharitis is an inflammatory
|
| 76 |
+
condition affecting the area around the base of the eyelashes. 2 It can be acute,
|
| 77 |
+
but that form is better described as eyelid infection (bacterial or viral), whereas
|
| 78 |
+
chronic forms of the inflammation are diagnosed as blepharitis.
|
| 79 |
+
- Vitrectomy (Trans Pars Plana Vitrectomy). Vitrectomy is the surgical removal of
|
| 80 |
+
vitreous gel from the middle and back of the inner eye. The vitreous gel fills
|
| 81 |
+
the back 80% of the inner eye, otherwise known as the vitreous cavity, which is
|
| 82 |
+
directly in front of the retina.
|
| 83 |
+
- source_sentence: 제51회 전국소년체육대회 부산광역시 선수단복 제작 제안서 평가 시 수행실적에 대한 점수는 몇 점일까
|
| 84 |
+
sentences:
|
| 85 |
+
- '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
|
| 86 |
+
colspan=''2''>계</td><td><br></td><td>100</td></tr><tr><td rowspan=''10''>기술능력평가</td><td
|
| 87 |
+
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
|
| 88 |
+
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
|
| 89 |
+
및 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
|
| 90 |
+
내용 충실도</td><td>5</td></tr><tr><td>·하자 보수 전략</td><td>5</td></tr></tbody></table>'
|
| 91 |
+
- 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
|
| 92 |
+
colspan='2'><br></td><td>배점총계</td><td>100</td><td><br></td></tr><tr><td rowspan='7'>기술능력평가(80)</td><td
|
| 93 |
+
colspan='2' rowspan='4'>정량적지표(20)</td><td>○ 기술인력보유<br>- 공고일 이전 6개월 이상 근무자 중의류
|
| 94 |
+
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>○
|
| 95 |
+
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
|
| 96 |
+
및 색상</td><td>○ 디자인의 세련미, 최신 트랜드 반영<br>- 본 대회 이미지와 부합<br>○ 디자인과 색상의 조화</td><td>30</td><td
|
| 97 |
+
rowspan='3'>평가위원평가</td></tr><tr><td>품질관리</td><td>○ 제안의 충실도, 적합성<br>- 기한내 제작/납품,
|
| 98 |
+
계획성 및 준비성<br>○ 품질관리 및 사후 A/S계획</td><td>10</td></tr><tr><td>완제품평가</td><td>○ 사용원단
|
| 99 |
+
및 부자재 품질<br>- 오염, 흠, 조직 등<br>- 친환경, 기능성 소재 사용<br>○ 착용감 및 활동성<br>○ 봉제 분야<br>- 스티치,
|
| 100 |
+
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
|
| 101 |
+
colspan='3'>입찰가격 평점산식에 의한 평가</td><td>20</td><td><br></td></tr></tbody></table>
|
| 102 |
+
- 제51회 전국소년체육대회 선수단 단복 구매 제안요청서<br> <table><tbody><tr><td rowspan='2'>항목</td><td
|
| 103 |
+
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>∘
|
| 104 |
+
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>∘
|
| 105 |
+
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>∘
|
| 106 |
+
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
|
| 107 |
+
및 미적수준</td><td>∘ 상․하 칼라의 조화<br>∘ 세련미와 미적 감각의 조화<br>∘ 칼라와 전체적인 조화<br>∘ 디자인의 특징(의도)<br>∘
|
| 108 |
+
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
|
| 109 |
+
colspan='2'>배점총계</td><td>70</td><td colspan='5'><br></td><td><br></td></tr></tbody></table>
|
| 110 |
+
- 제51회 전국소���체육대회 참가선수단 단복 선정‧제작 제안요청서<br>울산광역시교육청 [체육예술건강과] <table><tbody><tr><td>순</td><td>영역</td><td>선정
|
| 111 |
+
내용</td><td>기준</td><td>배점</td></tr><tr><td>1</td><td>상징성</td><td>▪ 울산광역시를 잘 나타낼
|
| 112 |
+
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>▪
|
| 113 |
+
통풍 및 땀 흡수력 등이 뛰어난 고기능성 제품<br>▪ 걸을 때, 앉아 있을 때, 몸을 굽히거나 활동 시 외관의 변화 정도<br>▪ 직물의
|
| 114 |
+
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>▪
|
| 115 |
+
전체적인 색상이 잘 조화되어 배분되어 있는가?<br>▪ 선수단복은 청소년이 선호하는 스타일인가?<br>▪ 운동복으로서 색상 및 스타일의 전체적인
|
| 116 |
+
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>▪
|
| 117 |
+
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>▪
|
| 118 |
+
활용도가 높고 편안한 정도<br>▪ 투습성이 우수한 조직으로 개발된 다층구조 편성물인가?<br>▪ 부자재는 관리하기 쉽고 옷을 변형시키는지
|
| 119 |
+
유무?</td><td>- 양호 16점~20점<br>- 보통 11점~15점<br>- 미달 0점~10점</td><td>20점</td></tr><tr><td><br></td><td
|
| 120 |
+
colspan='2'>계</td><td colspan='2'>100점</td></tr></tbody></table>
|
| 121 |
+
- 제51회 전국소년체육대회 선수단 단복 구매 제안요청서<br> <table><tbody><tr><td rowspan='2'>항목</td><td
|
| 122 |
+
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>∘
|
| 123 |
+
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>∘
|
| 124 |
+
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>∘
|
| 125 |
+
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
|
| 126 |
+
및 미적수준</td><td>∘ 상․하 칼라의 조화<br>∘ 세련미와 미적 감각의 조화<br>∘ 칼라와 전체적인 조화<br>∘ 디자인의 특징(의도)<br>∘
|
| 127 |
+
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
|
| 128 |
+
colspan='2'>배점총계</td><td>70</td><td colspan='5'><br></td><td><br></td></tr></tbody></table>
|
| 129 |
+
- 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
|
| 130 |
+
rowspan='7'>정성평가</td><td>색상</td><td>- 각 색감이 뚜렷하며 밝은 정도<br>- 남·녀 공용과 일상생활에도 활용도
|
| 131 |
+
높은 색상 여부 </td><td>10</td></tr><tr><td>디자인(외관)</td><td>- 전체적인 디자인이 세련되고 눈에 잘 띄며
|
| 132 |
+
산뜻한 정도<br>- 상․하복 컬러 및 부속품(모자 등)과의 조화 정도<br>- 광주광역시교육청을 상징할 수 있는 상징성 적용 정도<br>-
|
| 133 |
+
남·녀 착용이 가능하고 일상생활(훈련 등)에 착용 편리성</td><td>15</td></tr><tr><td>시제품 준비</td><td>-,시제품
|
| 134 |
+
수량이 일치 여부- 디자인과 색상이 다양한 제품 준비 여부</td><td>5</td></tr><tr><td>기능성 및 실용성</td><td>-
|
| 135 |
+
운동복으로서 쾌적한 체온유지 및 통풍과 운동 시의 피부 신장에 따른 운동복 여유분과 탄력성 유무?<br>- 걸을 때, 앉아 있을 때, 몸을
|
| 136 |
+
굽히거나 활동 시 외관 변화 정도 <br>- 직물의 무게로 인한 활동 시 영향 유무<br>- 일상생활 활용도가 높고 활동 시 편안한 착용감
|
| 137 |
+
정도</td><td>15</td></tr><tr><td>소재 및 부속품</td><td>- 투습성이 우수한 조직의 다층구조 편성물 소재인가?<br>-
|
| 138 |
+
사용 부자재가 관리하기 쉽고 옷을 변형시키는지 여부<br>- 안감, 단추, 스냅, 훅, 벨크로, 지퍼 등 부속품의 의복 겉감과 조화되는 색상,
|
| 139 |
+
형태인지 유무?</td><td>10</td></tr><tr><td>봉제상태</td><td>- 바느질의 간격이 적당하고 겹쳐박힌 부분 없는지<br>-
|
| 140 |
+
소재에 알맞은 끝처리를 했는지<br>- 단처리 부분의 시접상태 및 변형여부<br>- 칼라는 몸판에 편안히 놓여있는지<br>- 칼라 끝��� 모양이
|
| 141 |
+
잘 잡혀 있는지 <br>- 옷의 뒤틀림은 없는가?<br>- 겨드랑이, 가랑이 등 인장을 받는 곳의 보강스티치(리본, 끈과 함께 봉제 되었는지
|
| 142 |
+
유무)</td><td>10</td></tr><tr><td>관리성 및 내구성</td><td>- 내세탁성 및 손질의 용이성?<br>- 색이 변하지
|
| 143 |
+
않고 변형되지 않으며 오래 견디는 정도?</td><td>5</td></tr><tr><td rowspan='3'>정량평가</td><td>기술인력
|
| 144 |
+
보유정도(의류 디자인⋅설계 및 품질관리 관련자격)</td><td>1. 기술사 보유 (10점)<br>2. 기사 또는 산업기사 보유 (8점)<br>3.
|
| 145 |
+
기능사 보유 (6점)<br>4. 미보유 (4점)</td><td>10</td></tr><tr><td>사업수행실적</td><td>1. 1억 2천만원
|
| 146 |
+
이상 (10점)<br>2. 1억원 이상 ~1억 2천만원 미만(8점)<br>3. 8천만원 이상~1억원 미만 (6점)<br>4. 8천만원 미만
|
| 147 |
+
(4점)</td><td>10</td></tr><tr><td>경영상태</td><td>1. 아래표의 “1”번(10점)<br>2. 아래표의 “2”번(8점)<br>3.
|
| 148 |
+
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>
|
| 149 |
+
- source_sentence: Who gave the title of Champion of Christ to John Hyundai?
|
| 150 |
+
sentences:
|
| 151 |
+
- Jehovah's Witnesses believe that Jesus Christ began to rule in heaven as king
|
| 152 |
+
of God's kingdom in October 1914, and that Satan was subsequently ousted from
|
| 153 |
+
heaven to the earth, resulting in "woe" to humanity. They believe that Jesus rules
|
| 154 |
+
invisibly, from heaven, perceived only as a series of "signs". They base this
|
| 155 |
+
belief on a rendering of the Greek word parousia—usually translated as "coming"
|
| 156 |
+
when referring to Christ—as "presence". They believe Jesus' presence includes
|
| 157 |
+
an unknown period beginning with his inauguration as king in heaven in 1914, and
|
| 158 |
+
ending when he comes to bring a final judgment against humans on earth. They thus
|
| 159 |
+
depart from the mainstream Christian belief that the "second coming" of Matthew
|
| 160 |
+
24 refers to a single moment of arrival on earth to judge humans.
|
| 161 |
+
- John Calvin supported the "agent of God" Christology and argued that in his trial
|
| 162 |
+
in Pilate's Court Jesus could have successfully argued for his innocence, but
|
| 163 |
+
instead submitted to crucifixion in obedience to the Father. This Christological
|
| 164 |
+
theme continued into the 20th century, both in the Eastern and Western Churches.
|
| 165 |
+
In the Eastern Church Sergei Bulgakov argued that the crucifixion of Jesus was
|
| 166 |
+
"pre-eternally" determined by the Father before the creation of the world, to
|
| 167 |
+
redeem humanity from the disgrace caused by the fall of Adam. In the Western Church,
|
| 168 |
+
Karl Rahner elaborated on the analogy that the blood of the Lamb of God (and the
|
| 169 |
+
water from the side of Jesus) shed at the crucifixion had a cleansing nature,
|
| 170 |
+
similar to baptismal water.
|
| 171 |
+
- Jehovah's Witnesses believe that Jesus Christ began to rule in heaven as king
|
| 172 |
+
of God's kingdom in October 1914, and that Satan was subsequently ousted from
|
| 173 |
+
heaven to the earth, resulting in "woe" to humanity. They believe that Jesus rules
|
| 174 |
+
invisibly, from heaven, perceived only as a series of "signs". They base this
|
| 175 |
+
belief on a rendering of the Greek word parousia—usually translated as "coming"
|
| 176 |
+
when referring to Christ—as "presence". They believe Jesus' presence includes
|
| 177 |
+
an unknown period beginning with his inauguration as king in heaven in 1914, and
|
| 178 |
+
ending when he comes to bring a final judgment against humans on earth. They thus
|
| 179 |
+
depart from the mainstream Christian belief that the "second coming" of Matthew
|
| 180 |
+
24 refers to a single moment of arrival on earth to judge humans.
|
| 181 |
+
- Jehovah's Witnesses believe that Jesus Christ began to rule in heaven as king
|
| 182 |
+
of God's kingdom in October 1914, and that Satan was subsequently ousted from
|
| 183 |
+
heaven to the earth, resulting in "woe" to humanity. They believe that Jesus rules
|
| 184 |
+
invisibly, from heaven, perceived only as a series of "signs". They base this
|
| 185 |
+
belief on a rendering of the Greek word parousia—usually translated as "coming"
|
| 186 |
+
when referring to Christ—as "presence". They believe Jesus' presence includes
|
| 187 |
+
an unknown period beginning with his inauguration as king in heaven in 1914, and
|
| 188 |
+
ending when he comes to bring a final judgment against humans on earth. They thus
|
| 189 |
+
depart from the mainstream Christian belief that the "second coming" of Matthew
|
| 190 |
+
24 refers to a single moment of arrival on earth to judge humans.
|
| 191 |
+
- Jehovah's Witnesses believe that Jesus Christ began to rule in heaven as king
|
| 192 |
+
of God's kingdom in October 1914, and that Satan was subsequently ousted from
|
| 193 |
+
heaven to the earth, resulting in "woe" to humanity. They believe that Jesus rules
|
| 194 |
+
invisibly, from heaven, perceived only as a series of "signs". They base this
|
| 195 |
+
belief on a rendering of the Greek word parousia—usually translated as "coming"
|
| 196 |
+
when referring to Christ—as "presence". They believe Jesus' presence includes
|
| 197 |
+
an unknown period beginning with his inauguration as king in heaven in 1914, and
|
| 198 |
+
ending when he comes to bring a final judgment against humans on earth. They thus
|
| 199 |
+
depart from the mainstream Christian belief that the "second coming" of Matthew
|
| 200 |
+
24 refers to a single moment of arrival on earth to judge humans.
|
| 201 |
+
- 'At the end of the 15th century the Ottoman Empire advanced all over Southeastern
|
| 202 |
+
Europe, eventually conquering the Byzantine Empire and extending control over
|
| 203 |
+
the Balkan states. Hungary was the last bastion of the Latin Christian world in
|
| 204 |
+
the East, and fought to keep its rule over a period of two centuries. After the
|
| 205 |
+
tragic death of the young king Vladislaus I of Hungary during the Battle of Varna
|
| 206 |
+
in 1444 against the Ottomans, the Kingdom was placed in the hands of count John
|
| 207 |
+
Hunyadi, who became Hungary''s regent-governor (1446–1453). Hunyadi was considered
|
| 208 |
+
one of the most relevant military figures of the 15th century: Pope Pius II awarded
|
| 209 |
+
him the title of Athleta Christi or Champion of Christ for being the only hope
|
| 210 |
+
of resisting the Ottomans from advancing to Central and Western Europe.'
|
| 211 |
+
- source_sentence: united nations high commissioner for human rights address
|
| 212 |
+
sentences:
|
| 213 |
+
- 1. What are human rights?
|
| 214 |
+
- The Universal Declaration of Human Rights was drafted from early 1947 to late
|
| 215 |
+
1948 by Drafting Committee the first United Nations Commission on Human Rights.
|
| 216 |
+
Further discussion and amendments were made by the Commission on Human Rights,
|
| 217 |
+
the Economic and Social Council and the General Assembly of the United Nations.
|
| 218 |
+
- 'The following is a sample text in Bengali of Article 1 of the Universal Declaration
|
| 219 |
+
of Human Rights:'
|
| 220 |
+
- Office of the United Nations High Commissioner for Human Rights The office is
|
| 221 |
+
headed by the High Commissioner for Human Rights, who co-ordinates human rights
|
| 222 |
+
activities throughout the UN System and supervises the Human Rights Council in
|
| 223 |
+
Geneva, Switzerland. As of 1 September 2014, the current High Commissioner is
|
| 224 |
+
Prince Zeid bin Ra'ad.[4] The General Assembly approved on 16 June 2014 his appointment
|
| 225 |
+
by the United Nations Secretary-General. He is the seventh individual to lead
|
| 226 |
+
the OHCHR and the first Asian, Muslim, Arab, and prince to do so.
|
| 227 |
+
- — Message by Secretary-General Ban Ki-Moon for the second observance of the
|
| 228 |
+
Holocaust Victims Memorial Day on 19 January 2008[3]
|
| 229 |
+
- The New York State Human Rights Law
|
| 230 |
+
pipeline_tag: sentence-similarity
|
| 231 |
+
library_name: sentence-transformers
|
| 232 |
+
---
|
| 233 |
+
|
| 234 |
+
# SentenceTransformer based on seongil-dn/unsupervised_20m_2600
|
| 235 |
+
|
| 236 |
+
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [seongil-dn/unsupervised_20m_2600](https://huggingface.co/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.
|
| 237 |
+
|
| 238 |
+
## Model Details
|
| 239 |
+
|
| 240 |
+
### Model Description
|
| 241 |
+
- **Model Type:** Sentence Transformer
|
| 242 |
+
- **Base model:** [seongil-dn/unsupervised_20m_2600](https://huggingface.co/seongil-dn/unsupervised_20m_2600) <!-- at revision 01c7c3ee3e55348bf7977b38e3e81236fc115383 -->
|
| 243 |
+
- **Maximum Sequence Length:** 1024 tokens
|
| 244 |
+
- **Output Dimensionality:** 1024 dimensions
|
| 245 |
+
- **Similarity Function:** Cosine Similarity
|
| 246 |
+
<!-- - **Training Dataset:** Unknown -->
|
| 247 |
+
<!-- - **Language:** Unknown -->
|
| 248 |
+
<!-- - **License:** Unknown -->
|
| 249 |
+
|
| 250 |
+
### Model Sources
|
| 251 |
+
|
| 252 |
+
- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
|
| 253 |
+
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
|
| 254 |
+
- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
|
| 255 |
+
|
| 256 |
+
### Full Model Architecture
|
| 257 |
+
|
| 258 |
+
```
|
| 259 |
+
SentenceTransformer(
|
| 260 |
+
(0): Transformer({'max_seq_length': 1024, 'do_lower_case': False}) with Transformer model: XLMRobertaModel
|
| 261 |
+
(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})
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(2): Normalize()
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)
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```
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## Usage
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### Direct Usage (Sentence Transformers)
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First install the Sentence Transformers library:
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```bash
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pip install -U sentence-transformers
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```
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Then you can load this model and run inference.
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```python
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from sentence_transformers import SentenceTransformer
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# Download from the 🤗 Hub
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model = SentenceTransformer("seongil-dn/bge-m3-2600-steps-672")
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# Run inference
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sentences = [
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'united nations high commissioner for human rights address',
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"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.",
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'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.',
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]
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embeddings = model.encode(sentences)
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print(embeddings.shape)
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# [3, 1024]
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# Get the similarity scores for the embeddings
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similarities = model.similarity(embeddings, embeddings)
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print(similarities.shape)
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# [3, 3]
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```
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<!--
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### Direct Usage (Transformers)
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<details><summary>Click to see the direct usage in Transformers</summary>
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</details>
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-->
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<!--
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### Downstream Usage (Sentence Transformers)
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You can finetune this model on your own dataset.
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<details><summary>Click to expand</summary>
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</details>
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-->
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<!--
|
| 317 |
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### Out-of-Scope Use
|
| 318 |
+
|
| 319 |
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*List how the model may foreseeably be misused and address what users ought not to do with the model.*
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| 320 |
+
-->
|
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+
|
| 322 |
+
<!--
|
| 323 |
+
## Bias, Risks and Limitations
|
| 324 |
+
|
| 325 |
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*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
|
| 326 |
+
-->
|
| 327 |
+
|
| 328 |
+
<!--
|
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### Recommendations
|
| 330 |
+
|
| 331 |
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*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
|
| 332 |
+
-->
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## Training Details
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### Training Dataset
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#### Unnamed Dataset
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* Size: 1,138,596 training samples
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* Columns: <code>anchor</code>, <code>positive</code>, <code>negative</code>, <code>negative_2</code>, <code>negative_3</code>, <code>negative_4</code>, and <code>negative_5</code>
|
| 342 |
+
* Approximate statistics based on the first 1000 samples:
|
| 343 |
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| | anchor | positive | negative | negative_2 | negative_3 | negative_4 | negative_5 |
|
| 344 |
+
|:--------|:-----------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|
|
| 345 |
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| type | string | string | string | string | string | string | string |
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| 346 |
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| details | <ul><li>min: 5 tokens</li><li>mean: 35.82 tokens</li><li>max: 849 tokens</li></ul> | <ul><li>min: 17 tokens</li><li>mean: 274.93 tokens</li><li>max: 1024 tokens</li></ul> | <ul><li>min: 5 tokens</li><li>mean: 332.84 tokens</li><li>max: 1024 tokens</li></ul> | <ul><li>min: 6 tokens</li><li>mean: 336.51 tokens</li><li>max: 1024 tokens</li></ul> | <ul><li>min: 5 tokens</li><li>mean: 333.56 tokens</li><li>max: 1024 tokens</li></ul> | <ul><li>min: 6 tokens</li><li>mean: 335.66 tokens</li><li>max: 1024 tokens</li></ul> | <ul><li>min: 4 tokens</li><li>mean: 331.88 tokens</li><li>max: 1024 tokens</li></ul> |
|
| 347 |
+
* Samples:
|
| 348 |
+
| anchor | positive | negative | negative_2 | negative_3 | negative_4 | negative_5 |
|
| 349 |
+
|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| <code>why do some cultures eat bugs</code> | <code>Despite the fact that 80% of the worldâs cultures eat insects (thatâs 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 isâ¦. 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.</code> | <code>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.</code> | <code>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 â 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 â Synonym Match 1. c 2. h 3. j 4. f 5.</code> | <code>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 isâ¦. 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.</code> | <code>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.</code> | <code>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.</code> |
|
| 351 |
+
| <code>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?</code> | <code>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.</code> | <code>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.</code> | <code>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</code> | <code>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</code> | <code>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.</code> | <code>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.</code> |
|
| 352 |
+
| <code>핀테크 지업지원 성과분석 용역 제안서의 제안 개요 중 요청사항 수용 여부는 무엇을 제시하고 있어</code> | <code>｢핀테크 기업지원 성과분석 조사｣ 위탁용역 제안요청서<br>Ⅳ 제안서 작성 및 일반사항 <table><tbody><tr><td>구분</td><td>작성내용</td></tr><tr><td colspan='2'>1. 제안사 소개</td></tr><tr><td>일반현황</td><td>· 제안사의 주요 연혁을 간단․명료하게 제시</td></tr><tr><td>조직 및 인원 현황</td><td>· 제안사의 조직 및 인력현황 기술</td></tr><tr><td colspan='2'>2. 제안 개요</td></tr><tr><td>제안 목적 및 범위</td><td>· 본 사업 제안 목적 및 범위 기술</td></tr><tr><td>참여인력 및 이력사항</td><td>· 본 사업 참여인력의 이력사항 총괄표로 기술<br>· 참여인력의 세부 이력사항 기술</td></tr><tr><td>요청사항 수용 여부</td><td>· 제안요청사항 수용 여부 및 미수용시 대안 제시</td></tr><tr><td>제안사의 특장점</td><td>· 제안사만의 특장점 기재</td></tr><tr><td colspan='2'>3. 사업수행 및 관리</td></tr><tr><td>사업내용 및 범위</td><td>· 사업 추진 내용별 추진방안 명시<br>· 사업 추진체계 및 보고체계 명시</td></tr><tr><td>인력구성 및 업무분장</td><td>· 수행조직, 투입인력(상주/비상주 구분), 투입인력별 업무분장 내용 제시</td></tr><tr><td>추진일정 계획</td><td>· 사업 일정에 맞게 세부 추진내용 기재(제안요청서 상에 언급된 내용전부)<br>· 추진일정 지연 시 대처 방안 제시</td></tr><tr><td>결과물 품질 관리</td><td>· 산출물의 종류 및 내역, 제출시기 등을 기술<br>· 산출물, 품질관리, 일정관리 방안 제시</td></tr><tr><td colspan='2'>4. 기타</td></tr><tr><td>기타 제안사항</td><td>· 제안요청사항 외에 추가 ...</code> | <code>제안요청서- 비대면 서비스 바우처 사업 성과조사 용역 -<br>창업진흥원 <table><tbody><tr><td colspan='2'>구분</td><td>평가항목</td><td>항목배점</td><td>배점</td></tr><tr><td>정량평가(10점)</td><td>경영상태</td><td>▪기업신용평가등급</td><td>10</td><td>10점</td></tr><tr><td rowspan='13'>정성평가(70점)</td><td rowspan='3'>일반현황</td><td>▪제안업체의 본 과업에 대한 전문성 및 적합성</td><td>5</td><td rowspan='3'>15점</td></tr><tr><td>▪제안업체의 관련분야 연구·분석 노하우 수준</td><td>5</td></tr><tr><td>▪제안업체의 조직구성 및 역량 수준</td><td>5</td></tr><tr><td rowspan='2'>과업내용 이해도</td><td>▪제안요청서와 제안서의 부합 정도</td><td>5</td><td rowspan='2'>10점</td></tr><tr><td>▪과업의 목적, 내용 등에 대한 전반적 이해도</td><td>5</td></tr><tr><td rowspan='2'>제안내용</td><td>▪제안서 작성의 충실도 및 제안의 적극성</td><td>5</td><td rowspan='2'>10점</td></tr><tr><td>▪제안내용의 논리성 및 구체성</td><td>5</td></tr><tr><td rowspan='4'>수행능력</td><td>▪수행인력의 전문성(관련 연구·분석 역량 및 경력)</td><td>5</td><td rowspan='4'>25점</td></tr><tr><td>▪과업 관련 정보·자료의 확보 용이성</td><td>10</td></tr><tr><td>▪과업수행을 위한 시설·장비 등 자원 확보 수준</td><td>5</td></tr><tr><td>▪유사사업 수행 경험에 따른 해당 과업 적정성 및 효율성</td><td>5</td></tr><...</code> | <code>제안요청서<br>용역명 2022년도 스포츠산업융자(튼튼론) 업무지원 용역<br> <table><tbody><tr><td rowspan='2'>심사항목</td><td rowspan='2'>평가항목</td><td rowspan='2'>배점</td><td colspan='5'>심사배점</td></tr><tr><td>A</td><td>B</td><td>C</td><td>D</td><td>E</td></tr><tr><td>사업운영 역량</td><td>ㅇ 운영역량 및 제안사의 특장점</td><td>5</td><td>5</td><td>4</td><td>3</td><td>2</td><td>1</td></tr><tr><td>과업이해도</td><td>ㅇ 제안요청서와의 부합성<br>ㅇ 과업의 목적 및 필요성에 대한 이해도 <br>ㅇ 사업수행 목표 및 운영전략의 타당성 </td><td>20</td><td>20</td><td>17</td><td>14</td><td>11</td><td>8</td></tr><tr><td>과업수행전략</td><td>ㅇ 과업목표 달성을 위한 전략의 체계성<br>ㅇ 과업 진행단계별 수행전략의 합리성 </td><td>20</td><td>20</td><td>17</td><td>14</td><td>11</td><td>8</td></tr><tr><td>수행인력 구성</td><td>ㅇ 과업목적 및 계획에 부합하는 수행인력 역량 <br>ㅇ 과업 팀 편성 체계, 유사 업무 수행사례 </td><td>15</td><td>15</td><td>13</td><td>11</td><td>9</td><td>7</td></tr><tr><td>정보보안 관리방안</td><td>ㅇ 개인정보 보호 및 수행결과물 유출방지 방안의 적정성<br>ㅇ 시스템 보안유지 강화 방안의 적정성</td><td>15</td><td>15</td><td>13</td><td>11</td><td>9</td><td>7</td></tr><tr><td>정책목적 부합도</td><td>ㅇ 본 과업 추진에 있어 제안사의 특장점<b...</code> | <code>『디지털 전환 서비스 만족도 조사』 용역 과제 제안요청서 <table><tbody><tr><td>평가부문</td><td>평가 지표</td><td>배점</td></tr><tr><td rowspan='2'>일반부문(20점)</td><td>• 제안내용이 제안요청 내용을 정확히 포함하고 있는가?</td><td>/ 10점</td></tr><tr><td>• 사업추진계획 및 전략 등이 사업 수행 목표 달성에 적합한가?</td><td>/ 10점</td></tr><tr><td rowspan='2'>사업수행(30점)</td><td>• 과제별 세부추진 내용 및 수행방법이 적합한가?</td><td>/ 15점</td></tr><tr><td>• 추진방안 및 일정 등이 명확하게 제시되어 있는가?</td><td>/ 15점</td></tr><tr><td rowspan='2'>운영역량(30점)</td><td>• 조사역량 및 사업에 대한 전반적인 이해도가 있는가?</td><td>/ 20점</td></tr><tr><td>• 보유한 인력 활용 방안이 타당한가?</td><td>/ 10점</td></tr><tr><td>지원내역(20점)</td><td>• 해당 사업에 대한 수행의지 및 적극성이 충분한가?</td><td>/ 20점</td></tr><tr><td colspan='2'>합계</td><td>/100점</td></tr></tbody></table></code> | <code>「지역 디지털서비스 도입 및 이용활성화 방안에 관한 연구」제안요청서 <table><tbody><tr><td>목차</td><td>작성내용</td></tr><tr><td>1. 제안업체 현황</td><td>∘ 연혁 및 일반현황(조직, 주요 사업 등)<br>∘ 유사 용역실적 및 제안내용의 장‧단점 등</td></tr><tr><td>2. 용역범위 (제안 개요)</td><td>∘ 제안의 배경 및 목적<br>∘ 과업의 범위, 기대효과, 용역 결과 활용방안 등</td></tr><tr><td>3. 용역수행계획</td><td>∘ 과업 추진전략 및 수행방법<br>∘ 추진팀 구성 및 개인별 업무분장 내역<br>∘ 과업 추진 세부계획(추진일정, 절차 등 포함)</td></tr><tr><td>4. 용역참여인력</td><td>∘ 참여 인력의 학력, 경력, 자격증 및 관련분야 해당 실적 등을 구체적으로 작성</td></tr><tr><td>5. 기타 참고사항</td><td>∘ 정보 및 자료에 대한 비밀보장 등 보안준수 방안<br>∘ 사업추진 지연시 대책<br>∘ 원활한 과업수행을 위해 발주기관에 요청할 사항</td></tr></tbody></table></code> | <code>제안 요청서<br>사업명 농어촌지하수관리시스템 기능개발 및 유지관리 용역<br> <table><tbody><tr><td>평가척도(등급)</td><td>척도기준</td><td>가중치</td></tr><tr><td>A</td><td>- 모든 요구사항이 충족되며, 관련 보유기술, 경험 등이 객관적 자료를 통하여 증빙된다. <br>- 제안은 요구사항을 완벽히 이해하고 있어 매우 높은 성공 가능성을 제공한다. <br>- 결점 또는 약점이 없다.</td><td>100%</td></tr><tr><td>B</td><td>- 요구사항이 대부분 충족되며, 관련 보유기술, 경험 등의 객관적 자료를 통하여 대부분 증빙된다. <br>- 제안은 요구사항의 바람직한 이해를 보여주고 높은 성공 가능성을 제공한다. <br>- 협의를 통하여 고칠 수 없는 결점 또는 약점이 없다. </td><td>90%</td></tr><tr><td>C</td><td>- 요구사항을 기본적으로 충족시키나, 관련 보유기술, 경험 등의 객관적 자료를 통한 증빙이 미흡하다.<br>- 제안은 요구사항의 기본을 이해하고 성공의 적당한 가능성을 제공한다. <br>- 결점과 약점은 있으나, 협의를 통하여 보완이 가능하다.</td><td>80%</td></tr><tr><td>D</td><td>- 요구사항의 일부만 충족하며, 관련 보유기술, 경험 등에 대한 객관적 자료를 제시하지 못한다. <br>- 제안은 요구사항을 낮은 수준으로 이해하고 있어, 성공 가능성이 낮다. <br>- 결점과 약점에 대한 보완 가능성이 불확실하다.</td><td>70%</td></tr><tr><td>E</td><td>- 요구사항을 충족하지 못한다. <br>- 제안은 요구사항 대비 상당히 부족하고 성공에 필요한 요소를 제공하지 못한다. <br>- 근본적인 결점과 약점이 존재하며, 현재의 제안으로는 보완이 불가능하다. </td><td>60%</td></tr><tr><td>F</td><td>- 관련자격, 실적, 학위, 경력 등을 증명할 수 있는 자료제출이 ...</code> |
|
| 353 |
+
* Loss: [<code>CachedGISTEmbedLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedgistembedloss) with these parameters:
|
| 354 |
+
```json
|
| 355 |
+
{'guide': SentenceTransformer(
|
| 356 |
+
(0): Transformer({'max_seq_length': 1024, 'do_lower_case': False}) with Transformer model: XLMRobertaModel
|
| 357 |
+
(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})
|
| 358 |
+
(2): Normalize()
|
| 359 |
+
), 'temperature': 0.01}
|
| 360 |
+
```
|
| 361 |
+
|
| 362 |
+
### Training Hyperparameters
|
| 363 |
+
#### Non-Default Hyperparameters
|
| 364 |
+
|
| 365 |
+
- `per_device_train_batch_size`: 1024
|
| 366 |
+
- `learning_rate`: 3e-05
|
| 367 |
+
- `weight_decay`: 0.01
|
| 368 |
+
- `warmup_ratio`: 0.05
|
| 369 |
+
- `bf16`: True
|
| 370 |
+
- `batch_sampler`: no_duplicates
|
| 371 |
+
|
| 372 |
+
#### All Hyperparameters
|
| 373 |
+
<details><summary>Click to expand</summary>
|
| 374 |
+
|
| 375 |
+
- `overwrite_output_dir`: False
|
| 376 |
+
- `do_predict`: False
|
| 377 |
+
- `eval_strategy`: no
|
| 378 |
+
- `prediction_loss_only`: True
|
| 379 |
+
- `per_device_train_batch_size`: 1024
|
| 380 |
+
- `per_device_eval_batch_size`: 8
|
| 381 |
+
- `per_gpu_train_batch_size`: None
|
| 382 |
+
- `per_gpu_eval_batch_size`: None
|
| 383 |
+
- `gradient_accumulation_steps`: 1
|
| 384 |
+
- `eval_accumulation_steps`: None
|
| 385 |
+
- `torch_empty_cache_steps`: None
|
| 386 |
+
- `learning_rate`: 3e-05
|
| 387 |
+
- `weight_decay`: 0.01
|
| 388 |
+
- `adam_beta1`: 0.9
|
| 389 |
+
- `adam_beta2`: 0.999
|
| 390 |
+
- `adam_epsilon`: 1e-08
|
| 391 |
+
- `max_grad_norm`: 1.0
|
| 392 |
+
- `num_train_epochs`: 3
|
| 393 |
+
- `max_steps`: -1
|
| 394 |
+
- `lr_scheduler_type`: linear
|
| 395 |
+
- `lr_scheduler_kwargs`: {}
|
| 396 |
+
- `warmup_ratio`: 0.05
|
| 397 |
+
- `warmup_steps`: 0
|
| 398 |
+
- `log_level`: passive
|
| 399 |
+
- `log_level_replica`: warning
|
| 400 |
+
- `log_on_each_node`: True
|
| 401 |
+
- `logging_nan_inf_filter`: True
|
| 402 |
+
- `save_safetensors`: True
|
| 403 |
+
- `save_on_each_node`: False
|
| 404 |
+
- `save_only_model`: False
|
| 405 |
+
- `restore_callback_states_from_checkpoint`: False
|
| 406 |
+
- `no_cuda`: False
|
| 407 |
+
- `use_cpu`: False
|
| 408 |
+
- `use_mps_device`: False
|
| 409 |
+
- `seed`: 42
|
| 410 |
+
- `data_seed`: None
|
| 411 |
+
- `jit_mode_eval`: False
|
| 412 |
+
- `use_ipex`: False
|
| 413 |
+
- `bf16`: True
|
| 414 |
+
- `fp16`: False
|
| 415 |
+
- `fp16_opt_level`: O1
|
| 416 |
+
- `half_precision_backend`: auto
|
| 417 |
+
- `bf16_full_eval`: False
|
| 418 |
+
- `fp16_full_eval`: False
|
| 419 |
+
- `tf32`: None
|
| 420 |
+
- `local_rank`: 0
|
| 421 |
+
- `ddp_backend`: None
|
| 422 |
+
- `tpu_num_cores`: None
|
| 423 |
+
- `tpu_metrics_debug`: False
|
| 424 |
+
- `debug`: []
|
| 425 |
+
- `dataloader_drop_last`: True
|
| 426 |
+
- `dataloader_num_workers`: 0
|
| 427 |
+
- `dataloader_prefetch_factor`: None
|
| 428 |
+
- `past_index`: -1
|
| 429 |
+
- `disable_tqdm`: False
|
| 430 |
+
- `remove_unused_columns`: True
|
| 431 |
+
- `label_names`: None
|
| 432 |
+
- `load_best_model_at_end`: False
|
| 433 |
+
- `ignore_data_skip`: False
|
| 434 |
+
- `fsdp`: []
|
| 435 |
+
- `fsdp_min_num_params`: 0
|
| 436 |
+
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
|
| 437 |
+
- `fsdp_transformer_layer_cls_to_wrap`: None
|
| 438 |
+
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
|
| 439 |
+
- `deepspeed`: None
|
| 440 |
+
- `label_smoothing_factor`: 0.0
|
| 441 |
+
- `optim`: adamw_torch
|
| 442 |
+
- `optim_args`: None
|
| 443 |
+
- `adafactor`: False
|
| 444 |
+
- `group_by_length`: False
|
| 445 |
+
- `length_column_name`: length
|
| 446 |
+
- `ddp_find_unused_parameters`: None
|
| 447 |
+
- `ddp_bucket_cap_mb`: None
|
| 448 |
+
- `ddp_broadcast_buffers`: False
|
| 449 |
+
- `dataloader_pin_memory`: True
|
| 450 |
+
- `dataloader_persistent_workers`: False
|
| 451 |
+
- `skip_memory_metrics`: True
|
| 452 |
+
- `use_legacy_prediction_loop`: False
|
| 453 |
+
- `push_to_hub`: False
|
| 454 |
+
- `resume_from_checkpoint`: None
|
| 455 |
+
- `hub_model_id`: None
|
| 456 |
+
- `hub_strategy`: every_save
|
| 457 |
+
- `hub_private_repo`: None
|
| 458 |
+
- `hub_always_push`: False
|
| 459 |
+
- `gradient_checkpointing`: False
|
| 460 |
+
- `gradient_checkpointing_kwargs`: None
|
| 461 |
+
- `include_inputs_for_metrics`: False
|
| 462 |
+
- `include_for_metrics`: []
|
| 463 |
+
- `eval_do_concat_batches`: True
|
| 464 |
+
- `fp16_backend`: auto
|
| 465 |
+
- `push_to_hub_model_id`: None
|
| 466 |
+
- `push_to_hub_organization`: None
|
| 467 |
+
- `mp_parameters`:
|
| 468 |
+
- `auto_find_batch_size`: False
|
| 469 |
+
- `full_determinism`: False
|
| 470 |
+
- `torchdynamo`: None
|
| 471 |
+
- `ray_scope`: last
|
| 472 |
+
- `ddp_timeout`: 1800
|
| 473 |
+
- `torch_compile`: False
|
| 474 |
+
- `torch_compile_backend`: None
|
| 475 |
+
- `torch_compile_mode`: None
|
| 476 |
+
- `dispatch_batches`: None
|
| 477 |
+
- `split_batches`: None
|
| 478 |
+
- `include_tokens_per_second`: False
|
| 479 |
+
- `include_num_input_tokens_seen`: False
|
| 480 |
+
- `neftune_noise_alpha`: None
|
| 481 |
+
- `optim_target_modules`: None
|
| 482 |
+
- `batch_eval_metrics`: False
|
| 483 |
+
- `eval_on_start`: False
|
| 484 |
+
- `use_liger_kernel`: False
|
| 485 |
+
- `eval_use_gather_object`: False
|
| 486 |
+
- `average_tokens_across_devices`: False
|
| 487 |
+
- `prompts`: None
|
| 488 |
+
- `batch_sampler`: no_duplicates
|
| 489 |
+
- `multi_dataset_batch_sampler`: proportional
|
| 490 |
+
|
| 491 |
+
</details>
|
| 492 |
+
|
| 493 |
+
### Training Logs
|
| 494 |
+
<details><summary>Click to expand</summary>
|
| 495 |
+
|
| 496 |
+
| Epoch | Step | Training Loss |
|
| 497 |
+
|:------:|:----:|:-------------:|
|
| 498 |
+
| 0.0036 | 1 | 1.0035 |
|
| 499 |
+
| 0.0072 | 2 | 1.0013 |
|
| 500 |
+
| 0.0108 | 3 | 0.9976 |
|
| 501 |
+
| 0.0144 | 4 | 0.9315 |
|
| 502 |
+
| 0.0181 | 5 | 0.8939 |
|
| 503 |
+
| 0.0217 | 6 | 0.925 |
|
| 504 |
+
| 0.0253 | 7 | 0.8758 |
|
| 505 |
+
| 0.0289 | 8 | 0.7911 |
|
| 506 |
+
| 0.0325 | 9 | 0.7999 |
|
| 507 |
+
| 0.0361 | 10 | 0.8074 |
|
| 508 |
+
| 0.0397 | 11 | 0.7831 |
|
| 509 |
+
| 0.0433 | 12 | 0.6904 |
|
| 510 |
+
| 0.0469 | 13 | 0.7032 |
|
| 511 |
+
| 0.0505 | 14 | 0.6597 |
|
| 512 |
+
| 0.0542 | 15 | 0.6446 |
|
| 513 |
+
| 0.0578 | 16 | 0.5892 |
|
| 514 |
+
| 0.0614 | 17 | 0.6108 |
|
| 515 |
+
| 0.0650 | 18 | 0.5843 |
|
| 516 |
+
| 0.0686 | 19 | 0.5928 |
|
| 517 |
+
| 0.0722 | 20 | 0.5435 |
|
| 518 |
+
| 0.0758 | 21 | 0.5387 |
|
| 519 |
+
| 0.0794 | 22 | 0.5645 |
|
| 520 |
+
| 0.0830 | 23 | 0.516 |
|
| 521 |
+
| 0.0866 | 24 | 0.5727 |
|
| 522 |
+
| 0.0903 | 25 | 0.4964 |
|
| 523 |
+
| 0.0939 | 26 | 0.4938 |
|
| 524 |
+
| 0.0975 | 27 | 0.4561 |
|
| 525 |
+
| 0.1011 | 28 | 0.5118 |
|
| 526 |
+
| 0.1047 | 29 | 0.4615 |
|
| 527 |
+
| 0.1083 | 30 | 0.4565 |
|
| 528 |
+
| 0.1119 | 31 | 0.4723 |
|
| 529 |
+
| 0.1155 | 32 | 0.4305 |
|
| 530 |
+
| 0.1191 | 33 | 0.469 |
|
| 531 |
+
| 0.1227 | 34 | 0.4461 |
|
| 532 |
+
| 0.1264 | 35 | 0.4107 |
|
| 533 |
+
| 0.1300 | 36 | 0.4047 |
|
| 534 |
+
| 0.1336 | 37 | 0.4119 |
|
| 535 |
+
| 0.1372 | 38 | 0.4117 |
|
| 536 |
+
| 0.1408 | 39 | 0.4128 |
|
| 537 |
+
| 0.1444 | 40 | 0.3741 |
|
| 538 |
+
| 0.1480 | 41 | 0.4091 |
|
| 539 |
+
| 0.1516 | 42 | 0.3774 |
|
| 540 |
+
| 0.1552 | 43 | 0.3672 |
|
| 541 |
+
| 0.1588 | 44 | 0.3985 |
|
| 542 |
+
| 0.1625 | 45 | 0.3741 |
|
| 543 |
+
| 0.1661 | 46 | 0.3719 |
|
| 544 |
+
| 0.1697 | 47 | 0.3751 |
|
| 545 |
+
| 0.1733 | 48 | 0.3333 |
|
| 546 |
+
| 0.1769 | 49 | 0.3561 |
|
| 547 |
+
| 0.1805 | 50 | 0.3728 |
|
| 548 |
+
| 0.1841 | 51 | 0.3578 |
|
| 549 |
+
| 0.1877 | 52 | 0.3539 |
|
| 550 |
+
| 0.1913 | 53 | 0.3651 |
|
| 551 |
+
| 0.1949 | 54 | 0.3664 |
|
| 552 |
+
| 0.1986 | 55 | 0.3641 |
|
| 553 |
+
| 0.2022 | 56 | 0.3522 |
|
| 554 |
+
| 0.2058 | 57 | 0.3687 |
|
| 555 |
+
| 0.2094 | 58 | 0.3326 |
|
| 556 |
+
| 0.2130 | 59 | 0.3449 |
|
| 557 |
+
| 0.2166 | 60 | 0.3513 |
|
| 558 |
+
| 0.2202 | 61 | 0.3443 |
|
| 559 |
+
| 0.2238 | 62 | 0.3323 |
|
| 560 |
+
| 0.2274 | 63 | 0.325 |
|
| 561 |
+
| 0.2310 | 64 | 0.3063 |
|
| 562 |
+
| 0.2347 | 65 | 0.3194 |
|
| 563 |
+
| 0.2383 | 66 | 0.3148 |
|
| 564 |
+
| 0.2419 | 67 | 0.3394 |
|
| 565 |
+
| 0.2455 | 68 | 0.3245 |
|
| 566 |
+
| 0.2491 | 69 | 0.3182 |
|
| 567 |
+
| 0.2527 | 70 | 0.3137 |
|
| 568 |
+
| 0.2563 | 71 | 0.3357 |
|
| 569 |
+
| 0.2599 | 72 | 0.3388 |
|
| 570 |
+
| 0.2635 | 73 | 0.2944 |
|
| 571 |
+
| 0.2671 | 74 | 0.3074 |
|
| 572 |
+
| 0.2708 | 75 | 0.301 |
|
| 573 |
+
| 0.2744 | 76 | 0.3048 |
|
| 574 |
+
| 0.2780 | 77 | 0.3255 |
|
| 575 |
+
| 0.2816 | 78 | 0.3255 |
|
| 576 |
+
| 0.2852 | 79 | 0.3262 |
|
| 577 |
+
| 0.2888 | 80 | 0.2935 |
|
| 578 |
+
| 0.2924 | 81 | 0.3031 |
|
| 579 |
+
| 0.2960 | 82 | 0.3035 |
|
| 580 |
+
| 0.2996 | 83 | 0.2941 |
|
| 581 |
+
| 0.3032 | 84 | 0.2819 |
|
| 582 |
+
| 0.3069 | 85 | 0.2848 |
|
| 583 |
+
| 0.3105 | 86 | 0.2981 |
|
| 584 |
+
| 0.3141 | 87 | 0.2948 |
|
| 585 |
+
| 0.3177 | 88 | 0.285 |
|
| 586 |
+
| 0.3213 | 89 | 0.2966 |
|
| 587 |
+
| 0.3249 | 90 | 0.2837 |
|
| 588 |
+
| 0.3285 | 91 | 0.3058 |
|
| 589 |
+
| 0.3321 | 92 | 0.2734 |
|
| 590 |
+
| 0.3357 | 93 | 0.2805 |
|
| 591 |
+
| 0.3394 | 94 | 0.2784 |
|
| 592 |
+
| 0.3430 | 95 | 0.2771 |
|
| 593 |
+
| 0.3466 | 96 | 0.2908 |
|
| 594 |
+
| 0.3502 | 97 | 0.2713 |
|
| 595 |
+
| 0.3538 | 98 | 0.264 |
|
| 596 |
+
| 0.3574 | 99 | 0.3089 |
|
| 597 |
+
| 0.3610 | 100 | 0.292 |
|
| 598 |
+
| 0.3646 | 101 | 0.2696 |
|
| 599 |
+
| 0.3682 | 102 | 0.2873 |
|
| 600 |
+
| 0.3718 | 103 | 0.2865 |
|
| 601 |
+
| 0.3755 | 104 | 0.2784 |
|
| 602 |
+
| 0.3791 | 105 | 0.278 |
|
| 603 |
+
| 0.3827 | 106 | 0.2622 |
|
| 604 |
+
| 0.3863 | 107 | 0.279 |
|
| 605 |
+
| 0.3899 | 108 | 0.2762 |
|
| 606 |
+
| 0.3935 | 109 | 0.2783 |
|
| 607 |
+
| 0.3971 | 110 | 0.2719 |
|
| 608 |
+
| 0.4007 | 111 | 0.2812 |
|
| 609 |
+
| 0.4043 | 112 | 0.2635 |
|
| 610 |
+
| 0.4079 | 113 | 0.2675 |
|
| 611 |
+
| 0.4116 | 114 | 0.2736 |
|
| 612 |
+
| 0.4152 | 115 | 0.2606 |
|
| 613 |
+
| 0.4188 | 116 | 0.274 |
|
| 614 |
+
| 0.4224 | 117 | 0.2831 |
|
| 615 |
+
| 0.4260 | 118 | 0.2701 |
|
| 616 |
+
| 0.4296 | 119 | 0.2802 |
|
| 617 |
+
| 0.4332 | 120 | 0.2795 |
|
| 618 |
+
| 0.4368 | 121 | 0.2555 |
|
| 619 |
+
| 0.4404 | 122 | 0.2824 |
|
| 620 |
+
| 0.4440 | 123 | 0.2699 |
|
| 621 |
+
| 0.4477 | 124 | 0.2777 |
|
| 622 |
+
| 0.4513 | 125 | 0.2766 |
|
| 623 |
+
| 0.4549 | 126 | 0.2548 |
|
| 624 |
+
| 0.4585 | 127 | 0.2842 |
|
| 625 |
+
| 0.4621 | 128 | 0.2557 |
|
| 626 |
+
| 0.4657 | 129 | 0.2655 |
|
| 627 |
+
| 0.4693 | 130 | 0.2653 |
|
| 628 |
+
| 0.4729 | 131 | 0.2556 |
|
| 629 |
+
| 0.4765 | 132 | 0.2687 |
|
| 630 |
+
| 0.4801 | 133 | 0.2547 |
|
| 631 |
+
| 0.4838 | 134 | 0.2541 |
|
| 632 |
+
| 0.4874 | 135 | 0.2527 |
|
| 633 |
+
| 0.4910 | 136 | 0.284 |
|
| 634 |
+
| 0.4946 | 137 | 0.2388 |
|
| 635 |
+
| 0.4982 | 138 | 0.2652 |
|
| 636 |
+
| 0.5018 | 139 | 0.2317 |
|
| 637 |
+
| 0.5054 | 140 | 0.2479 |
|
| 638 |
+
| 0.5090 | 141 | 0.2522 |
|
| 639 |
+
| 0.5126 | 142 | 0.2521 |
|
| 640 |
+
| 0.5162 | 143 | 0.2387 |
|
| 641 |
+
| 0.5199 | 144 | 0.2453 |
|
| 642 |
+
| 0.5235 | 145 | 0.2598 |
|
| 643 |
+
| 0.5271 | 146 | 0.2695 |
|
| 644 |
+
| 0.5307 | 147 | 0.2508 |
|
| 645 |
+
| 0.5343 | 148 | 0.2282 |
|
| 646 |
+
| 0.5379 | 149 | 0.251 |
|
| 647 |
+
| 0.5415 | 150 | 0.2337 |
|
| 648 |
+
| 0.5451 | 151 | 0.2514 |
|
| 649 |
+
| 0.5487 | 152 | 0.2514 |
|
| 650 |
+
| 0.5523 | 153 | 0.2492 |
|
| 651 |
+
| 0.5560 | 154 | 0.245 |
|
| 652 |
+
| 0.5596 | 155 | 0.2721 |
|
| 653 |
+
| 0.5632 | 156 | 0.2573 |
|
| 654 |
+
| 0.5668 | 157 | 0.2353 |
|
| 655 |
+
| 0.5704 | 158 | 0.2591 |
|
| 656 |
+
| 0.5740 | 159 | 0.258 |
|
| 657 |
+
| 0.5776 | 160 | 0.2484 |
|
| 658 |
+
| 0.5812 | 161 | 0.2378 |
|
| 659 |
+
| 0.5848 | 162 | 0.2407 |
|
| 660 |
+
| 0.5884 | 163 | 0.2441 |
|
| 661 |
+
| 0.5921 | 164 | 0.2474 |
|
| 662 |
+
| 0.5957 | 165 | 0.2614 |
|
| 663 |
+
| 0.5993 | 166 | 0.2399 |
|
| 664 |
+
| 0.6029 | 167 | 0.2624 |
|
| 665 |
+
| 0.6065 | 168 | 0.2364 |
|
| 666 |
+
| 0.6101 | 169 | 0.2429 |
|
| 667 |
+
| 0.6137 | 170 | 0.2456 |
|
| 668 |
+
| 0.6173 | 171 | 0.216 |
|
| 669 |
+
| 0.6209 | 172 | 0.2554 |
|
| 670 |
+
| 0.6245 | 173 | 0.2438 |
|
| 671 |
+
| 0.6282 | 174 | 0.2592 |
|
| 672 |
+
| 0.6318 | 175 | 0.2357 |
|
| 673 |
+
| 0.6354 | 176 | 0.245 |
|
| 674 |
+
| 0.6390 | 177 | 0.2455 |
|
| 675 |
+
| 0.6426 | 178 | 0.2622 |
|
| 676 |
+
| 0.6462 | 179 | 0.2372 |
|
| 677 |
+
| 0.6498 | 180 | 0.2189 |
|
| 678 |
+
| 0.6534 | 181 | 0.2409 |
|
| 679 |
+
| 0.6570 | 182 | 0.228 |
|
| 680 |
+
| 0.6606 | 183 | 0.2452 |
|
| 681 |
+
| 0.6643 | 184 | 0.2453 |
|
| 682 |
+
| 0.6679 | 185 | 0.2518 |
|
| 683 |
+
| 0.6715 | 186 | 0.2426 |
|
| 684 |
+
| 0.6751 | 187 | 0.2412 |
|
| 685 |
+
| 0.6787 | 188 | 0.2275 |
|
| 686 |
+
| 0.6823 | 189 | 0.2538 |
|
| 687 |
+
| 0.6859 | 190 | 0.253 |
|
| 688 |
+
| 0.6895 | 191 | 0.2305 |
|
| 689 |
+
| 0.6931 | 192 | 0.2408 |
|
| 690 |
+
| 0.6968 | 193 | 0.2476 |
|
| 691 |
+
| 0.7004 | 194 | 0.2117 |
|
| 692 |
+
| 0.7040 | 195 | 0.2421 |
|
| 693 |
+
| 0.7076 | 196 | 0.2543 |
|
| 694 |
+
| 0.7112 | 197 | 0.2086 |
|
| 695 |
+
| 0.7148 | 198 | 0.2258 |
|
| 696 |
+
| 0.7184 | 199 | 0.2371 |
|
| 697 |
+
| 0.7220 | 200 | 0.2311 |
|
| 698 |
+
| 0.7256 | 201 | 0.2325 |
|
| 699 |
+
| 0.7292 | 202 | 0.2291 |
|
| 700 |
+
| 0.7329 | 203 | 0.2329 |
|
| 701 |
+
| 0.7365 | 204 | 0.2586 |
|
| 702 |
+
| 0.7401 | 205 | 0.2341 |
|
| 703 |
+
| 0.7437 | 206 | 0.2296 |
|
| 704 |
+
| 0.7473 | 207 | 0.2544 |
|
| 705 |
+
| 0.7509 | 208 | 0.2301 |
|
| 706 |
+
| 0.7545 | 209 | 0.2382 |
|
| 707 |
+
| 0.7581 | 210 | 0.2406 |
|
| 708 |
+
| 0.7617 | 211 | 0.2621 |
|
| 709 |
+
| 0.7653 | 212 | 0.2284 |
|
| 710 |
+
| 0.7690 | 213 | 0.2209 |
|
| 711 |
+
| 0.7726 | 214 | 0.2247 |
|
| 712 |
+
| 0.7762 | 215 | 0.2389 |
|
| 713 |
+
| 0.7798 | 216 | 0.2492 |
|
| 714 |
+
| 0.7834 | 217 | 0.2265 |
|
| 715 |
+
| 0.7870 | 218 | 0.2324 |
|
| 716 |
+
| 0.7906 | 219 | 0.2436 |
|
| 717 |
+
| 0.7942 | 220 | 0.2447 |
|
| 718 |
+
| 0.7978 | 221 | 0.2318 |
|
| 719 |
+
| 0.8014 | 222 | 0.2283 |
|
| 720 |
+
| 0.8051 | 223 | 0.2314 |
|
| 721 |
+
| 0.8087 | 224 | 0.2071 |
|
| 722 |
+
| 0.8123 | 225 | 0.227 |
|
| 723 |
+
| 0.8159 | 226 | 0.2243 |
|
| 724 |
+
| 0.8195 | 227 | 0.2135 |
|
| 725 |
+
| 0.8231 | 228 | 0.2359 |
|
| 726 |
+
| 0.8267 | 229 | 0.229 |
|
| 727 |
+
| 0.8303 | 230 | 0.2328 |
|
| 728 |
+
| 0.8339 | 231 | 0.2209 |
|
| 729 |
+
| 0.8375 | 232 | 0.2264 |
|
| 730 |
+
| 0.8412 | 233 | 0.2305 |
|
| 731 |
+
| 0.8448 | 234 | 0.2267 |
|
| 732 |
+
| 0.8484 | 235 | 0.2444 |
|
| 733 |
+
| 0.8520 | 236 | 0.2315 |
|
| 734 |
+
| 0.8556 | 237 | 0.2251 |
|
| 735 |
+
| 0.8592 | 238 | 0.2209 |
|
| 736 |
+
| 0.8628 | 239 | 0.2504 |
|
| 737 |
+
| 0.8664 | 240 | 0.2386 |
|
| 738 |
+
| 0.8700 | 241 | 0.2401 |
|
| 739 |
+
| 0.8736 | 242 | 0.2227 |
|
| 740 |
+
| 0.8773 | 243 | 0.2146 |
|
| 741 |
+
| 0.8809 | 244 | 0.2349 |
|
| 742 |
+
| 0.8845 | 245 | 0.226 |
|
| 743 |
+
| 0.8881 | 246 | 0.2466 |
|
| 744 |
+
| 0.8917 | 247 | 0.2326 |
|
| 745 |
+
| 0.8953 | 248 | 0.2306 |
|
| 746 |
+
| 0.8989 | 249 | 0.2119 |
|
| 747 |
+
| 0.9025 | 250 | 0.2388 |
|
| 748 |
+
| 0.9061 | 251 | 0.2088 |
|
| 749 |
+
| 0.9097 | 252 | 0.2252 |
|
| 750 |
+
| 0.9134 | 253 | 0.2042 |
|
| 751 |
+
| 0.9170 | 254 | 0.2112 |
|
| 752 |
+
| 0.9206 | 255 | 0.1963 |
|
| 753 |
+
| 0.9242 | 256 | 0.2041 |
|
| 754 |
+
| 0.9278 | 257 | 0.208 |
|
| 755 |
+
| 0.9314 | 258 | 0.2105 |
|
| 756 |
+
| 0.9350 | 259 | 0.2075 |
|
| 757 |
+
| 0.9386 | 260 | 0.2154 |
|
| 758 |
+
| 0.9422 | 261 | 0.2195 |
|
| 759 |
+
| 0.9458 | 262 | 0.2124 |
|
| 760 |
+
| 0.9495 | 263 | 0.2144 |
|
| 761 |
+
| 0.9531 | 264 | 0.2019 |
|
| 762 |
+
| 0.9567 | 265 | 0.2365 |
|
| 763 |
+
| 0.9603 | 266 | 0.2514 |
|
| 764 |
+
| 0.9639 | 267 | 0.2073 |
|
| 765 |
+
| 0.9675 | 268 | 0.2042 |
|
| 766 |
+
| 0.9711 | 269 | 0.2271 |
|
| 767 |
+
| 0.9747 | 270 | 0.228 |
|
| 768 |
+
| 0.9783 | 271 | 0.2101 |
|
| 769 |
+
| 0.9819 | 272 | 0.1986 |
|
| 770 |
+
| 0.9856 | 273 | 0.2196 |
|
| 771 |
+
| 0.9892 | 274 | 0.2026 |
|
| 772 |
+
| 0.9928 | 275 | 0.2157 |
|
| 773 |
+
| 0.9964 | 276 | 0.2167 |
|
| 774 |
+
| 1.0 | 277 | 0.211 |
|
| 775 |
+
| 1.0036 | 278 | 0.1597 |
|
| 776 |
+
| 1.0072 | 279 | 0.1624 |
|
| 777 |
+
| 1.0108 | 280 | 0.1833 |
|
| 778 |
+
| 1.0144 | 281 | 0.1767 |
|
| 779 |
+
| 1.0181 | 282 | 0.1682 |
|
| 780 |
+
| 1.0217 | 283 | 0.1547 |
|
| 781 |
+
| 1.0253 | 284 | 0.1681 |
|
| 782 |
+
| 1.0289 | 285 | 0.1655 |
|
| 783 |
+
| 1.0325 | 286 | 0.1552 |
|
| 784 |
+
| 1.0361 | 287 | 0.1762 |
|
| 785 |
+
| 1.0397 | 288 | 0.1555 |
|
| 786 |
+
| 1.0433 | 289 | 0.1733 |
|
| 787 |
+
| 1.0469 | 290 | 0.1728 |
|
| 788 |
+
| 1.0505 | 291 | 0.1573 |
|
| 789 |
+
| 1.0542 | 292 | 0.1615 |
|
| 790 |
+
| 1.0578 | 293 | 0.1627 |
|
| 791 |
+
| 1.0614 | 294 | 0.1462 |
|
| 792 |
+
| 1.0650 | 295 | 0.1638 |
|
| 793 |
+
| 1.0686 | 296 | 0.1568 |
|
| 794 |
+
| 1.0722 | 297 | 0.1511 |
|
| 795 |
+
| 1.0758 | 298 | 0.1577 |
|
| 796 |
+
| 1.0794 | 299 | 0.1603 |
|
| 797 |
+
| 1.0830 | 300 | 0.1699 |
|
| 798 |
+
| 1.0866 | 301 | 0.1641 |
|
| 799 |
+
| 1.0903 | 302 | 0.1671 |
|
| 800 |
+
| 1.0939 | 303 | 0.1671 |
|
| 801 |
+
| 1.0975 | 304 | 0.1529 |
|
| 802 |
+
| 1.1011 | 305 | 0.1706 |
|
| 803 |
+
| 1.1047 | 306 | 0.1627 |
|
| 804 |
+
| 1.1083 | 307 | 0.151 |
|
| 805 |
+
| 1.1119 | 308 | 0.1682 |
|
| 806 |
+
| 1.1155 | 309 | 0.1753 |
|
| 807 |
+
| 1.1191 | 310 | 0.1464 |
|
| 808 |
+
| 1.1227 | 311 | 0.1707 |
|
| 809 |
+
| 1.1264 | 312 | 0.1595 |
|
| 810 |
+
| 1.1300 | 313 | 0.1767 |
|
| 811 |
+
| 1.1336 | 314 | 0.1581 |
|
| 812 |
+
| 1.1372 | 315 | 0.1557 |
|
| 813 |
+
| 1.1408 | 316 | 0.1728 |
|
| 814 |
+
| 1.1444 | 317 | 0.1429 |
|
| 815 |
+
| 1.1480 | 318 | 0.159 |
|
| 816 |
+
| 1.1516 | 319 | 0.1804 |
|
| 817 |
+
| 1.1552 | 320 | 0.1505 |
|
| 818 |
+
| 1.1588 | 321 | 0.1608 |
|
| 819 |
+
| 1.1625 | 322 | 0.1512 |
|
| 820 |
+
| 1.1661 | 323 | 0.1572 |
|
| 821 |
+
| 1.1697 | 324 | 0.173 |
|
| 822 |
+
| 1.1733 | 325 | 0.1645 |
|
| 823 |
+
| 1.1769 | 326 | 0.1692 |
|
| 824 |
+
| 1.1805 | 327 | 0.1604 |
|
| 825 |
+
| 1.1841 | 328 | 0.1422 |
|
| 826 |
+
| 1.1877 | 329 | 0.1613 |
|
| 827 |
+
| 1.1913 | 330 | 0.1525 |
|
| 828 |
+
| 1.1949 | 331 | 0.1541 |
|
| 829 |
+
| 1.1986 | 332 | 0.1601 |
|
| 830 |
+
| 1.2022 | 333 | 0.1505 |
|
| 831 |
+
| 1.2058 | 334 | 0.1463 |
|
| 832 |
+
| 1.2094 | 335 | 0.1594 |
|
| 833 |
+
| 1.2130 | 336 | 0.1533 |
|
| 834 |
+
| 1.2166 | 337 | 0.148 |
|
| 835 |
+
| 1.2202 | 338 | 0.1649 |
|
| 836 |
+
| 1.2238 | 339 | 0.1604 |
|
| 837 |
+
| 1.2274 | 340 | 0.1599 |
|
| 838 |
+
| 1.2310 | 341 | 0.155 |
|
| 839 |
+
| 1.2347 | 342 | 0.1457 |
|
| 840 |
+
| 1.2383 | 343 | 0.1502 |
|
| 841 |
+
| 1.2419 | 344 | 0.1534 |
|
| 842 |
+
| 1.2455 | 345 | 0.1728 |
|
| 843 |
+
| 1.2491 | 346 | 0.1531 |
|
| 844 |
+
| 1.2527 | 347 | 0.1562 |
|
| 845 |
+
| 1.2563 | 348 | 0.1579 |
|
| 846 |
+
| 1.2599 | 349 | 0.155 |
|
| 847 |
+
| 1.2635 | 350 | 0.1489 |
|
| 848 |
+
| 1.2671 | 351 | 0.1585 |
|
| 849 |
+
| 1.2708 | 352 | 0.1647 |
|
| 850 |
+
| 1.2744 | 353 | 0.1522 |
|
| 851 |
+
| 1.2780 | 354 | 0.1736 |
|
| 852 |
+
| 1.2816 | 355 | 0.1569 |
|
| 853 |
+
| 1.2852 | 356 | 0.1526 |
|
| 854 |
+
| 1.2888 | 357 | 0.1568 |
|
| 855 |
+
| 1.2924 | 358 | 0.1489 |
|
| 856 |
+
| 1.2960 | 359 | 0.1547 |
|
| 857 |
+
| 1.2996 | 360 | 0.1696 |
|
| 858 |
+
| 1.3032 | 361 | 0.142 |
|
| 859 |
+
| 1.3069 | 362 | 0.1455 |
|
| 860 |
+
| 1.3105 | 363 | 0.1461 |
|
| 861 |
+
| 1.3141 | 364 | 0.1542 |
|
| 862 |
+
| 1.3177 | 365 | 0.1511 |
|
| 863 |
+
| 1.3213 | 366 | 0.1503 |
|
| 864 |
+
| 1.3249 | 367 | 0.176 |
|
| 865 |
+
| 1.3285 | 368 | 0.156 |
|
| 866 |
+
| 1.3321 | 369 | 0.1483 |
|
| 867 |
+
| 1.3357 | 370 | 0.1553 |
|
| 868 |
+
| 1.3394 | 371 | 0.1581 |
|
| 869 |
+
| 1.3430 | 372 | 0.1354 |
|
| 870 |
+
| 1.3466 | 373 | 0.1554 |
|
| 871 |
+
| 1.3502 | 374 | 0.1508 |
|
| 872 |
+
| 1.3538 | 375 | 0.1491 |
|
| 873 |
+
| 1.3574 | 376 | 0.15 |
|
| 874 |
+
| 1.3610 | 377 | 0.1566 |
|
| 875 |
+
| 1.3646 | 378 | 0.1726 |
|
| 876 |
+
| 1.3682 | 379 | 0.1521 |
|
| 877 |
+
| 1.3718 | 380 | 0.1578 |
|
| 878 |
+
| 1.3755 | 381 | 0.155 |
|
| 879 |
+
| 1.3791 | 382 | 0.154 |
|
| 880 |
+
| 1.3827 | 383 | 0.1533 |
|
| 881 |
+
| 1.3863 | 384 | 0.1484 |
|
| 882 |
+
| 1.3899 | 385 | 0.1555 |
|
| 883 |
+
| 1.3935 | 386 | 0.1524 |
|
| 884 |
+
| 1.3971 | 387 | 0.147 |
|
| 885 |
+
| 1.4007 | 388 | 0.1424 |
|
| 886 |
+
| 1.4043 | 389 | 0.169 |
|
| 887 |
+
| 1.4079 | 390 | 0.1588 |
|
| 888 |
+
| 1.4116 | 391 | 0.1733 |
|
| 889 |
+
| 1.4152 | 392 | 0.1682 |
|
| 890 |
+
| 1.4188 | 393 | 0.1368 |
|
| 891 |
+
| 1.4224 | 394 | 0.1481 |
|
| 892 |
+
| 1.4260 | 395 | 0.1552 |
|
| 893 |
+
| 1.4296 | 396 | 0.1472 |
|
| 894 |
+
| 1.4332 | 397 | 0.1605 |
|
| 895 |
+
| 1.4368 | 398 | 0.1493 |
|
| 896 |
+
| 1.4404 | 399 | 0.151 |
|
| 897 |
+
| 1.4440 | 400 | 0.1483 |
|
| 898 |
+
| 1.4477 | 401 | 0.1388 |
|
| 899 |
+
| 1.4513 | 402 | 0.1448 |
|
| 900 |
+
| 1.4549 | 403 | 0.1594 |
|
| 901 |
+
| 1.4585 | 404 | 0.1561 |
|
| 902 |
+
| 1.4621 | 405 | 0.1617 |
|
| 903 |
+
| 1.4657 | 406 | 0.152 |
|
| 904 |
+
| 1.4693 | 407 | 0.1563 |
|
| 905 |
+
| 1.4729 | 408 | 0.1592 |
|
| 906 |
+
| 1.4765 | 409 | 0.1501 |
|
| 907 |
+
| 1.4801 | 410 | 0.1407 |
|
| 908 |
+
| 1.4838 | 411 | 0.1567 |
|
| 909 |
+
| 1.4874 | 412 | 0.1403 |
|
| 910 |
+
| 1.4910 | 413 | 0.1497 |
|
| 911 |
+
| 1.4946 | 414 | 0.1534 |
|
| 912 |
+
| 1.4982 | 415 | 0.1441 |
|
| 913 |
+
| 1.5018 | 416 | 0.1671 |
|
| 914 |
+
| 1.5054 | 417 | 0.1493 |
|
| 915 |
+
| 1.5090 | 418 | 0.1494 |
|
| 916 |
+
| 1.5126 | 419 | 0.1519 |
|
| 917 |
+
| 1.5162 | 420 | 0.156 |
|
| 918 |
+
| 1.5199 | 421 | 0.1573 |
|
| 919 |
+
| 1.5235 | 422 | 0.1356 |
|
| 920 |
+
| 1.5271 | 423 | 0.1513 |
|
| 921 |
+
| 1.5307 | 424 | 0.1424 |
|
| 922 |
+
| 1.5343 | 425 | 0.1581 |
|
| 923 |
+
| 1.5379 | 426 | 0.1582 |
|
| 924 |
+
| 1.5415 | 427 | 0.1375 |
|
| 925 |
+
| 1.5451 | 428 | 0.158 |
|
| 926 |
+
| 1.5487 | 429 | 0.1425 |
|
| 927 |
+
| 1.5523 | 430 | 0.1472 |
|
| 928 |
+
| 1.5560 | 431 | 0.1562 |
|
| 929 |
+
| 1.5596 | 432 | 0.1537 |
|
| 930 |
+
| 1.5632 | 433 | 0.1478 |
|
| 931 |
+
| 1.5668 | 434 | 0.1379 |
|
| 932 |
+
| 1.5704 | 435 | 0.1513 |
|
| 933 |
+
| 1.5740 | 436 | 0.1532 |
|
| 934 |
+
| 1.5776 | 437 | 0.1353 |
|
| 935 |
+
| 1.5812 | 438 | 0.1478 |
|
| 936 |
+
| 1.5848 | 439 | 0.1612 |
|
| 937 |
+
| 1.5884 | 440 | 0.1436 |
|
| 938 |
+
| 1.5921 | 441 | 0.1438 |
|
| 939 |
+
| 1.5957 | 442 | 0.1517 |
|
| 940 |
+
| 1.5993 | 443 | 0.1481 |
|
| 941 |
+
| 1.6029 | 444 | 0.1649 |
|
| 942 |
+
| 1.6065 | 445 | 0.1417 |
|
| 943 |
+
| 1.6101 | 446 | 0.175 |
|
| 944 |
+
| 1.6137 | 447 | 0.1288 |
|
| 945 |
+
| 1.6173 | 448 | 0.1593 |
|
| 946 |
+
| 1.6209 | 449 | 0.1364 |
|
| 947 |
+
| 1.6245 | 450 | 0.1578 |
|
| 948 |
+
| 1.6282 | 451 | 0.1454 |
|
| 949 |
+
| 1.6318 | 452 | 0.1356 |
|
| 950 |
+
| 1.6354 | 453 | 0.1563 |
|
| 951 |
+
| 1.6390 | 454 | 0.1552 |
|
| 952 |
+
| 1.6426 | 455 | 0.1498 |
|
| 953 |
+
| 1.6462 | 456 | 0.1292 |
|
| 954 |
+
| 1.6498 | 457 | 0.1426 |
|
| 955 |
+
| 1.6534 | 458 | 0.1391 |
|
| 956 |
+
| 1.6570 | 459 | 0.1635 |
|
| 957 |
+
| 1.6606 | 460 | 0.1436 |
|
| 958 |
+
| 1.6643 | 461 | 0.1616 |
|
| 959 |
+
| 1.6679 | 462 | 0.1439 |
|
| 960 |
+
| 1.6715 | 463 | 0.1531 |
|
| 961 |
+
| 1.6751 | 464 | 0.1574 |
|
| 962 |
+
| 1.6787 | 465 | 0.1536 |
|
| 963 |
+
| 1.6823 | 466 | 0.1437 |
|
| 964 |
+
| 1.6859 | 467 | 0.159 |
|
| 965 |
+
| 1.6895 | 468 | 0.1547 |
|
| 966 |
+
| 1.6931 | 469 | 0.1334 |
|
| 967 |
+
| 1.6968 | 470 | 0.1539 |
|
| 968 |
+
| 1.7004 | 471 | 0.1383 |
|
| 969 |
+
| 1.7040 | 472 | 0.1661 |
|
| 970 |
+
| 1.7076 | 473 | 0.1421 |
|
| 971 |
+
| 1.7112 | 474 | 0.1524 |
|
| 972 |
+
| 1.7148 | 475 | 0.1553 |
|
| 973 |
+
| 1.7184 | 476 | 0.1561 |
|
| 974 |
+
| 1.7220 | 477 | 0.1512 |
|
| 975 |
+
| 1.7256 | 478 | 0.1454 |
|
| 976 |
+
| 1.7292 | 479 | 0.1476 |
|
| 977 |
+
| 1.7329 | 480 | 0.1481 |
|
| 978 |
+
| 1.7365 | 481 | 0.1474 |
|
| 979 |
+
| 1.7401 | 482 | 0.1436 |
|
| 980 |
+
| 1.7437 | 483 | 0.1432 |
|
| 981 |
+
| 1.7473 | 484 | 0.1439 |
|
| 982 |
+
| 1.7509 | 485 | 0.1453 |
|
| 983 |
+
| 1.7545 | 486 | 0.1407 |
|
| 984 |
+
| 1.7581 | 487 | 0.1503 |
|
| 985 |
+
| 1.7617 | 488 | 0.1556 |
|
| 986 |
+
| 1.7653 | 489 | 0.1435 |
|
| 987 |
+
| 1.7690 | 490 | 0.1449 |
|
| 988 |
+
| 1.7726 | 491 | 0.1466 |
|
| 989 |
+
| 1.7762 | 492 | 0.1501 |
|
| 990 |
+
| 1.7798 | 493 | 0.1216 |
|
| 991 |
+
| 1.7834 | 494 | 0.1609 |
|
| 992 |
+
| 1.7870 | 495 | 0.1602 |
|
| 993 |
+
| 1.7906 | 496 | 0.1444 |
|
| 994 |
+
| 1.7942 | 497 | 0.1515 |
|
| 995 |
+
| 1.7978 | 498 | 0.1447 |
|
| 996 |
+
| 1.8014 | 499 | 0.1552 |
|
| 997 |
+
| 1.8051 | 500 | 0.1434 |
|
| 998 |
+
| 1.8087 | 501 | 0.1398 |
|
| 999 |
+
| 1.8123 | 502 | 0.1428 |
|
| 1000 |
+
| 1.8159 | 503 | 0.1505 |
|
| 1001 |
+
| 1.8195 | 504 | 0.1502 |
|
| 1002 |
+
| 1.8231 | 505 | 0.1432 |
|
| 1003 |
+
| 1.8267 | 506 | 0.1612 |
|
| 1004 |
+
| 1.8303 | 507 | 0.1538 |
|
| 1005 |
+
| 1.8339 | 508 | 0.141 |
|
| 1006 |
+
| 1.8375 | 509 | 0.1393 |
|
| 1007 |
+
| 1.8412 | 510 | 0.1738 |
|
| 1008 |
+
| 1.8448 | 511 | 0.1506 |
|
| 1009 |
+
| 1.8484 | 512 | 0.1355 |
|
| 1010 |
+
| 1.8520 | 513 | 0.1453 |
|
| 1011 |
+
| 1.8556 | 514 | 0.1424 |
|
| 1012 |
+
| 1.8592 | 515 | 0.138 |
|
| 1013 |
+
| 1.8628 | 516 | 0.1458 |
|
| 1014 |
+
| 1.8664 | 517 | 0.1583 |
|
| 1015 |
+
| 1.8700 | 518 | 0.1427 |
|
| 1016 |
+
| 1.8736 | 519 | 0.1435 |
|
| 1017 |
+
| 1.8773 | 520 | 0.1359 |
|
| 1018 |
+
| 1.8809 | 521 | 0.1517 |
|
| 1019 |
+
| 1.8845 | 522 | 0.1625 |
|
| 1020 |
+
| 1.8881 | 523 | 0.1404 |
|
| 1021 |
+
| 1.8917 | 524 | 0.1459 |
|
| 1022 |
+
| 1.8953 | 525 | 0.1495 |
|
| 1023 |
+
| 1.8989 | 526 | 0.1537 |
|
| 1024 |
+
| 1.9025 | 527 | 0.152 |
|
| 1025 |
+
| 1.9061 | 528 | 0.1358 |
|
| 1026 |
+
| 1.9097 | 529 | 0.1382 |
|
| 1027 |
+
| 1.9134 | 530 | 0.1481 |
|
| 1028 |
+
| 1.9170 | 531 | 0.1562 |
|
| 1029 |
+
| 1.9206 | 532 | 0.1488 |
|
| 1030 |
+
| 1.9242 | 533 | 0.1433 |
|
| 1031 |
+
| 1.9278 | 534 | 0.1333 |
|
| 1032 |
+
| 1.9314 | 535 | 0.1559 |
|
| 1033 |
+
| 1.9350 | 536 | 0.1394 |
|
| 1034 |
+
| 1.9386 | 537 | 0.1354 |
|
| 1035 |
+
| 1.9422 | 538 | 0.1485 |
|
| 1036 |
+
| 1.9458 | 539 | 0.1574 |
|
| 1037 |
+
| 1.9495 | 540 | 0.139 |
|
| 1038 |
+
| 1.9531 | 541 | 0.1544 |
|
| 1039 |
+
| 1.9567 | 542 | 0.1572 |
|
| 1040 |
+
| 1.9603 | 543 | 0.1386 |
|
| 1041 |
+
| 1.9639 | 544 | 0.1538 |
|
| 1042 |
+
| 1.9675 | 545 | 0.1521 |
|
| 1043 |
+
| 1.9711 | 546 | 0.1587 |
|
| 1044 |
+
| 1.9747 | 547 | 0.1551 |
|
| 1045 |
+
| 1.9783 | 548 | 0.1471 |
|
| 1046 |
+
| 1.9819 | 549 | 0.1483 |
|
| 1047 |
+
| 1.9856 | 550 | 0.139 |
|
| 1048 |
+
| 1.9892 | 551 | 0.1582 |
|
| 1049 |
+
| 1.9928 | 552 | 0.1449 |
|
| 1050 |
+
| 1.9964 | 553 | 0.1433 |
|
| 1051 |
+
| 2.0 | 554 | 0.1516 |
|
| 1052 |
+
| 2.0036 | 555 | 0.1271 |
|
| 1053 |
+
| 2.0072 | 556 | 0.1231 |
|
| 1054 |
+
| 2.0108 | 557 | 0.1145 |
|
| 1055 |
+
| 2.0144 | 558 | 0.1045 |
|
| 1056 |
+
| 2.0181 | 559 | 0.1186 |
|
| 1057 |
+
| 2.0217 | 560 | 0.1116 |
|
| 1058 |
+
| 2.0253 | 561 | 0.124 |
|
| 1059 |
+
| 2.0289 | 562 | 0.1115 |
|
| 1060 |
+
| 2.0325 | 563 | 0.1402 |
|
| 1061 |
+
| 2.0361 | 564 | 0.1198 |
|
| 1062 |
+
| 2.0397 | 565 | 0.1149 |
|
| 1063 |
+
| 2.0433 | 566 | 0.1124 |
|
| 1064 |
+
| 2.0469 | 567 | 0.112 |
|
| 1065 |
+
| 2.0505 | 568 | 0.1109 |
|
| 1066 |
+
| 2.0542 | 569 | 0.1218 |
|
| 1067 |
+
| 2.0578 | 570 | 0.1288 |
|
| 1068 |
+
| 2.0614 | 571 | 0.1097 |
|
| 1069 |
+
| 2.0650 | 572 | 0.1202 |
|
| 1070 |
+
| 2.0686 | 573 | 0.1058 |
|
| 1071 |
+
| 2.0722 | 574 | 0.1082 |
|
| 1072 |
+
| 2.0758 | 575 | 0.1101 |
|
| 1073 |
+
| 2.0794 | 576 | 0.1195 |
|
| 1074 |
+
| 2.0830 | 577 | 0.1154 |
|
| 1075 |
+
| 2.0866 | 578 | 0.1105 |
|
| 1076 |
+
| 2.0903 | 579 | 0.1142 |
|
| 1077 |
+
| 2.0939 | 580 | 0.1225 |
|
| 1078 |
+
| 2.0975 | 581 | 0.1177 |
|
| 1079 |
+
| 2.1011 | 582 | 0.1043 |
|
| 1080 |
+
| 2.1047 | 583 | 0.1093 |
|
| 1081 |
+
| 2.1083 | 584 | 0.1135 |
|
| 1082 |
+
| 2.1119 | 585 | 0.1033 |
|
| 1083 |
+
| 2.1155 | 586 | 0.1059 |
|
| 1084 |
+
| 2.1191 | 587 | 0.1093 |
|
| 1085 |
+
| 2.1227 | 588 | 0.1244 |
|
| 1086 |
+
| 2.1264 | 589 | 0.1078 |
|
| 1087 |
+
| 2.1300 | 590 | 0.1054 |
|
| 1088 |
+
| 2.1336 | 591 | 0.1104 |
|
| 1089 |
+
| 2.1372 | 592 | 0.1088 |
|
| 1090 |
+
| 2.1408 | 593 | 0.1119 |
|
| 1091 |
+
| 2.1444 | 594 | 0.1147 |
|
| 1092 |
+
| 2.1480 | 595 | 0.1097 |
|
| 1093 |
+
| 2.1516 | 596 | 0.113 |
|
| 1094 |
+
| 2.1552 | 597 | 0.1069 |
|
| 1095 |
+
| 2.1588 | 598 | 0.1171 |
|
| 1096 |
+
| 2.1625 | 599 | 0.1042 |
|
| 1097 |
+
| 2.1661 | 600 | 0.1171 |
|
| 1098 |
+
| 2.1697 | 601 | 0.1068 |
|
| 1099 |
+
| 2.1733 | 602 | 0.1044 |
|
| 1100 |
+
| 2.1769 | 603 | 0.1128 |
|
| 1101 |
+
| 2.1805 | 604 | 0.1155 |
|
| 1102 |
+
| 2.1841 | 605 | 0.1164 |
|
| 1103 |
+
| 2.1877 | 606 | 0.1121 |
|
| 1104 |
+
| 2.1913 | 607 | 0.1061 |
|
| 1105 |
+
| 2.1949 | 608 | 0.1104 |
|
| 1106 |
+
| 2.1986 | 609 | 0.1136 |
|
| 1107 |
+
| 2.2022 | 610 | 0.1106 |
|
| 1108 |
+
| 2.2058 | 611 | 0.1088 |
|
| 1109 |
+
| 2.2094 | 612 | 0.117 |
|
| 1110 |
+
| 2.2130 | 613 | 0.1065 |
|
| 1111 |
+
| 2.2166 | 614 | 0.1168 |
|
| 1112 |
+
| 2.2202 | 615 | 0.1164 |
|
| 1113 |
+
| 2.2238 | 616 | 0.1125 |
|
| 1114 |
+
| 2.2274 | 617 | 0.1102 |
|
| 1115 |
+
| 2.2310 | 618 | 0.1081 |
|
| 1116 |
+
| 2.2347 | 619 | 0.1214 |
|
| 1117 |
+
| 2.2383 | 620 | 0.1065 |
|
| 1118 |
+
| 2.2419 | 621 | 0.1238 |
|
| 1119 |
+
| 2.2455 | 622 | 0.1076 |
|
| 1120 |
+
| 2.2491 | 623 | 0.11 |
|
| 1121 |
+
| 2.2527 | 624 | 0.1208 |
|
| 1122 |
+
| 2.2563 | 625 | 0.1168 |
|
| 1123 |
+
| 2.2599 | 626 | 0.1118 |
|
| 1124 |
+
| 2.2635 | 627 | 0.1106 |
|
| 1125 |
+
| 2.2671 | 628 | 0.1101 |
|
| 1126 |
+
| 2.2708 | 629 | 0.1153 |
|
| 1127 |
+
| 2.2744 | 630 | 0.1169 |
|
| 1128 |
+
| 2.2780 | 631 | 0.1086 |
|
| 1129 |
+
| 2.2816 | 632 | 0.111 |
|
| 1130 |
+
| 2.2852 | 633 | 0.1142 |
|
| 1131 |
+
| 2.2888 | 634 | 0.1033 |
|
| 1132 |
+
| 2.2924 | 635 | 0.1155 |
|
| 1133 |
+
| 2.2960 | 636 | 0.1067 |
|
| 1134 |
+
| 2.2996 | 637 | 0.1166 |
|
| 1135 |
+
| 2.3032 | 638 | 0.1056 |
|
| 1136 |
+
| 2.3069 | 639 | 0.1097 |
|
| 1137 |
+
| 2.3105 | 640 | 0.1222 |
|
| 1138 |
+
| 2.3141 | 641 | 0.1149 |
|
| 1139 |
+
| 2.3177 | 642 | 0.1151 |
|
| 1140 |
+
| 2.3213 | 643 | 0.1162 |
|
| 1141 |
+
| 2.3249 | 644 | 0.1202 |
|
| 1142 |
+
| 2.3285 | 645 | 0.1203 |
|
| 1143 |
+
| 2.3321 | 646 | 0.1085 |
|
| 1144 |
+
| 2.3357 | 647 | 0.1004 |
|
| 1145 |
+
| 2.3394 | 648 | 0.1165 |
|
| 1146 |
+
| 2.3430 | 649 | 0.1188 |
|
| 1147 |
+
| 2.3466 | 650 | 0.1168 |
|
| 1148 |
+
| 2.3502 | 651 | 0.1111 |
|
| 1149 |
+
| 2.3538 | 652 | 0.1119 |
|
| 1150 |
+
| 2.3574 | 653 | 0.1124 |
|
| 1151 |
+
| 2.3610 | 654 | 0.1176 |
|
| 1152 |
+
| 2.3646 | 655 | 0.1071 |
|
| 1153 |
+
| 2.3682 | 656 | 0.1101 |
|
| 1154 |
+
| 2.3718 | 657 | 0.1097 |
|
| 1155 |
+
| 2.3755 | 658 | 0.1096 |
|
| 1156 |
+
| 2.3791 | 659 | 0.1039 |
|
| 1157 |
+
| 2.3827 | 660 | 0.1129 |
|
| 1158 |
+
| 2.3863 | 661 | 0.1097 |
|
| 1159 |
+
| 2.3899 | 662 | 0.1116 |
|
| 1160 |
+
| 2.3935 | 663 | 0.1037 |
|
| 1161 |
+
| 2.3971 | 664 | 0.1264 |
|
| 1162 |
+
| 2.4007 | 665 | 0.0979 |
|
| 1163 |
+
| 2.4043 | 666 | 0.1082 |
|
| 1164 |
+
| 2.4079 | 667 | 0.1069 |
|
| 1165 |
+
| 2.4116 | 668 | 0.1158 |
|
| 1166 |
+
| 2.4152 | 669 | 0.1123 |
|
| 1167 |
+
| 2.4188 | 670 | 0.126 |
|
| 1168 |
+
| 2.4224 | 671 | 0.1133 |
|
| 1169 |
+
| 2.4260 | 672 | 0.116 |
|
| 1170 |
+
|
| 1171 |
+
</details>
|
| 1172 |
+
|
| 1173 |
+
### Framework Versions
|
| 1174 |
+
- Python: 3.10.12
|
| 1175 |
+
- Sentence Transformers: 3.4.1
|
| 1176 |
+
- Transformers: 4.49.0
|
| 1177 |
+
- PyTorch: 2.5.1+cu124
|
| 1178 |
+
- Accelerate: 1.4.0
|
| 1179 |
+
- Datasets: 3.3.2
|
| 1180 |
+
- Tokenizers: 0.21.0
|
| 1181 |
+
|
| 1182 |
+
## Citation
|
| 1183 |
+
|
| 1184 |
+
### BibTeX
|
| 1185 |
+
|
| 1186 |
+
#### Sentence Transformers
|
| 1187 |
+
```bibtex
|
| 1188 |
+
@inproceedings{reimers-2019-sentence-bert,
|
| 1189 |
+
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
|
| 1190 |
+
author = "Reimers, Nils and Gurevych, Iryna",
|
| 1191 |
+
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
|
| 1192 |
+
month = "11",
|
| 1193 |
+
year = "2019",
|
| 1194 |
+
publisher = "Association for Computational Linguistics",
|
| 1195 |
+
url = "https://arxiv.org/abs/1908.10084",
|
| 1196 |
+
}
|
| 1197 |
+
```
|
| 1198 |
+
|
| 1199 |
+
<!--
|
| 1200 |
+
## Glossary
|
| 1201 |
+
|
| 1202 |
+
*Clearly define terms in order to be accessible across audiences.*
|
| 1203 |
+
-->
|
| 1204 |
+
|
| 1205 |
+
<!--
|
| 1206 |
+
## Model Card Authors
|
| 1207 |
+
|
| 1208 |
+
*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
|
| 1209 |
+
-->
|
| 1210 |
+
|
| 1211 |
+
<!--
|
| 1212 |
+
## Model Card Contact
|
| 1213 |
+
|
| 1214 |
+
*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
|
| 1215 |
+
-->
|
config.json
ADDED
|
@@ -0,0 +1,28 @@
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|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "output_2600_steps/checkpoint-672",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"XLMRobertaModel"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
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"bos_token_id": 0,
|
| 8 |
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"classifier_dropout": null,
|
| 9 |
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"eos_token_id": 2,
|
| 10 |
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"hidden_act": "gelu",
|
| 11 |
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"hidden_dropout_prob": 0.1,
|
| 12 |
+
"hidden_size": 1024,
|
| 13 |
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"initializer_range": 0.02,
|
| 14 |
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"intermediate_size": 4096,
|
| 15 |
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"layer_norm_eps": 1e-05,
|
| 16 |
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"max_position_embeddings": 8194,
|
| 17 |
+
"model_type": "xlm-roberta",
|
| 18 |
+
"num_attention_heads": 16,
|
| 19 |
+
"num_hidden_layers": 24,
|
| 20 |
+
"output_past": true,
|
| 21 |
+
"pad_token_id": 1,
|
| 22 |
+
"position_embedding_type": "absolute",
|
| 23 |
+
"torch_dtype": "float32",
|
| 24 |
+
"transformers_version": "4.49.0",
|
| 25 |
+
"type_vocab_size": 1,
|
| 26 |
+
"use_cache": true,
|
| 27 |
+
"vocab_size": 250002
|
| 28 |
+
}
|
config_sentence_transformers.json
ADDED
|
@@ -0,0 +1,10 @@
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|
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|
| 1 |
+
{
|
| 2 |
+
"__version__": {
|
| 3 |
+
"sentence_transformers": "3.4.1",
|
| 4 |
+
"transformers": "4.49.0",
|
| 5 |
+
"pytorch": "2.5.1+cu124"
|
| 6 |
+
},
|
| 7 |
+
"prompts": {},
|
| 8 |
+
"default_prompt_name": null,
|
| 9 |
+
"similarity_fn_name": "cosine"
|
| 10 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7236c67cf71c04301d7561258efa32fb93f4c0ba21deff58b46aa052ef28a770
|
| 3 |
+
size 2271064456
|
modules.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
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|
|
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|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"idx": 0,
|
| 4 |
+
"name": "0",
|
| 5 |
+
"path": "",
|
| 6 |
+
"type": "sentence_transformers.models.Transformer"
|
| 7 |
+
},
|
| 8 |
+
{
|
| 9 |
+
"idx": 1,
|
| 10 |
+
"name": "1",
|
| 11 |
+
"path": "1_Pooling",
|
| 12 |
+
"type": "sentence_transformers.models.Pooling"
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"idx": 2,
|
| 16 |
+
"name": "2",
|
| 17 |
+
"path": "2_Normalize",
|
| 18 |
+
"type": "sentence_transformers.models.Normalize"
|
| 19 |
+
}
|
| 20 |
+
]
|
sentence_bert_config.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"max_seq_length": 1024,
|
| 3 |
+
"do_lower_case": false
|
| 4 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,51 @@
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|
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|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
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"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
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"rstrip": false,
|
| 7 |
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"single_word": false
|
| 8 |
+
},
|
| 9 |
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"cls_token": {
|
| 10 |
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"content": "<s>",
|
| 11 |
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"lstrip": false,
|
| 12 |
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"normalized": false,
|
| 13 |
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"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
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"eos_token": {
|
| 17 |
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"content": "</s>",
|
| 18 |
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"lstrip": false,
|
| 19 |
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|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"mask_token": {
|
| 24 |
+
"content": "<mask>",
|
| 25 |
+
"lstrip": true,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"pad_token": {
|
| 31 |
+
"content": "<pad>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
},
|
| 37 |
+
"sep_token": {
|
| 38 |
+
"content": "</s>",
|
| 39 |
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|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false
|
| 43 |
+
},
|
| 44 |
+
"unk_token": {
|
| 45 |
+
"content": "<unk>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false
|
| 50 |
+
}
|
| 51 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6e3b8957de04e3a4ed42b1a11381556f9adad8d0d502b9dd071c75f626b28f40
|
| 3 |
+
size 17083053
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
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|
| 5 |
+
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
+
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|
| 10 |
+
},
|
| 11 |
+
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|
| 12 |
+
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
+
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|
| 17 |
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"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
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|
| 21 |
+
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|
| 22 |
+
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|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "<unk>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"250001": {
|
| 36 |
+
"content": "<mask>",
|
| 37 |
+
"lstrip": true,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"bos_token": "<s>",
|
| 45 |
+
"clean_up_tokenization_spaces": true,
|
| 46 |
+
"cls_token": "<s>",
|
| 47 |
+
"eos_token": "</s>",
|
| 48 |
+
"extra_special_tokens": {},
|
| 49 |
+
"mask_token": "<mask>",
|
| 50 |
+
"max_length": 1024,
|
| 51 |
+
"model_max_length": 1024,
|
| 52 |
+
"pad_to_multiple_of": null,
|
| 53 |
+
"pad_token": "<pad>",
|
| 54 |
+
"pad_token_type_id": 0,
|
| 55 |
+
"padding_side": "right",
|
| 56 |
+
"sep_token": "</s>",
|
| 57 |
+
"sp_model_kwargs": {},
|
| 58 |
+
"stride": 0,
|
| 59 |
+
"tokenizer_class": "XLMRobertaTokenizerFast",
|
| 60 |
+
"truncation_side": "right",
|
| 61 |
+
"truncation_strategy": "longest_first",
|
| 62 |
+
"unk_token": "<unk>"
|
| 63 |
+
}
|