---
base_model: embaas/sentence-transformers-multilingual-e5-large
datasets: []
language: []
library_name: sentence-transformers
metrics:
- cosine_accuracy@1
- cosine_accuracy@3
- cosine_accuracy@5
- cosine_accuracy@10
- cosine_precision@1
- cosine_precision@3
- cosine_precision@5
- cosine_precision@10
- cosine_recall@1
- cosine_recall@3
- cosine_recall@5
- cosine_recall@10
- cosine_ndcg@10
- cosine_mrr@10
- cosine_map@100
- dot_accuracy@1
- dot_accuracy@3
- dot_accuracy@5
- dot_accuracy@10
- dot_precision@1
- dot_precision@3
- dot_precision@5
- dot_precision@10
- dot_recall@1
- dot_recall@3
- dot_recall@5
- dot_recall@10
- dot_ndcg@10
- dot_mrr@10
- dot_map@100
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:41881
- loss:MultipleNegativesRankingLoss
widget:
- source_sentence: 얕은 기초의 허용 수평 지지력을 결정할 때 고려해야 하는 주요 요소는 무엇인가?
sentences:
- ④계측기간과빈도는측정하고자하는계측값의변화정도및변화의지속시간과관련되며비탈면의파괴속도가빠른경우또는변화가있는경우에는측정빈도를높여측정하여야하고변화가장기간지속되는경우에는측정기간도이에맞춰측정하여야한다
.⑤깎기비탈면의계측기설치위치는비탈면자체및불연속면등에의해이완된암반의거동을충분히고려하고유사한조건하에서계측예를참고로하여선정하여
- 건설기준제정또는개정에따른경과조치이기준은발간시점부터사용하며,이미시행중에있는설계용역이나건설공사는발주기관의장이필요하다고인정하는경우종전에적용하고있는기준을그대로사용할수있습니다.
- (2)강도가크고불연속면의간격이넓으며틈새가작은암반일경우에는양호한암반으로판정하고기초의지지력을산정한다 .(3)강도가작고불연속면의간격이매우좁으며풍화상태가심하거나세편상태인암반은불량한암반으로판정하고기초의지지력을산정한다
.(4)암반의상태를정량적으로등급화하고 ,그에따라등급별로암반의극한지지력을정하여기초를설계할수있다 .(5)암반판정이모호한경우 ,지질학적으로해명이안되는경우
,암석이심하게교란된경우 ,절리나층리가지표의경사와유사한경우 ,암의표면이 30°이상경사진경우에는암반의지지력결정에유의하여야한다 .4.1.7수평지지력(1)얕은기초의허용수평지지력은
기초저면의전단저항력을적정안전율로나눈값으로하나 ,지표면근처에서안정된지지층을확보할수있는경우에는기초전면에작용하는수동토압을안전율로나눈값을적용하여허용수평지지력으로
고려할수있으며 ,다만 ,수동토압이발휘되기위해서는주동변위의 2~20배가발생하여야하므로수동토압을전부보는것에주의가요구된다 .
- source_sentence: 33.3품질및성능시험 섹션에서는 어떤 종류의 시험이 포함되어 있습니까?
sentences:
- 제정:2016년6월30일심의:중앙건설기술심의위원회소관부서:국토교통부기술혁신과관련단체:한국지반공학회개정:2021년5월12일자문검토:국가건설기준센터
건설기준위원회작성기관:한국지반공학회건설기준 주요내용제정또는개정(년.월)도로교설계기준∙그동안제개정된각종규칙,기준및최근연구성과등을검토반영,심미적디자인추구,철근콘크리트기둥의연성도내진설계법부록도입함.개정(2010)건축구조설계기준
∙건축구조설계기준제정제정(2005.4)건축구조설계기준 ∙재검토기한신설등개정개정(2009.8)건축구조기준 ∙부분개정개정(2009.12)건축구조기준
∙재검토기한의연도수정등개정개정(2013.12)건축구조기준 ∙특정한지형조건의기본지상적설하중 등개정개정(2015.10)건축구조기준∙성능설계법도입및돌발상황에의한하중추가등기준전반에대한최근연구결과및개선된공법반영개정(2016.
- 연약지반설계일반 KDS113005:2021KDS110000지반설계기준 11.일반사항1.1목적(1)이기준은지반에건설되는구조물에대하여안정성을확보하지못하는연약지반의설계기준을제시하는것을목적으로한다
.1.2적용범위(1)이기준은지반에건설되는구조물에대하여안정성을확보하지못하는연약지반의보강이나대책공법설계에적용된다 .(2)연약지반은쌓기규모나구조물목적에따라상대적인의미로평가되며
,원지반이건설되는구조물에대해안정성을만족하지못할경우연약지반으로취급하여지반보강이나대책을강구하여야한다 .(3)연약지반대책공법으로서 지반개량을시행할경우기초지반의특성
,구조물의종류와크기 ,시공기간과난이도 ,경제성 ,환경영향등을고려하여적합한개량공법을선정하여야한다 .
- 2조사 22.3계획 23.재료 33.1일반사항 33.2재료특성 33.3품질및성능시험 34.설계 34.1일반사항 34.
- source_sentence: 비탈면 녹화의 목적은 무엇인가요?
sentences:
- 재료24.설계24.1격자블록및돌(블록 )붙이기24.2콘크리트뿜어붙이기 (숏크리트 )44.3비탈면녹화5
- 개정(1986.11)구조물기초설계기준∙그간의지반공학분야의기술발전을반영하고,관련기준의개정에따른내용조정등수정하고국제표준단위인미터법과SI단위로통일개정.개정(2002.12)구조물기초설계기준
∙구조물기초설계기준개정개정(2008.11)구조물기초설계기준∙토목,건축공사등의건설구조물기초설계를국가의설계기준형식에부합시키고,신기술,신공법등의시대적변화를적용시키며설계자의창의적설계를유도할수있도록개정.개정(2014.2)구조물기초설계기준∙도심지지반침하현상의지속적발생으로국민불안이증대하고있으나,다소미흡한지반침하와관련된조사및설계관련하여공동및싱크홀을조사하도록철도설계기준개정사항(2015)을반영하여개정.부분개정(2016.5)KDS115030:2016∙건설기준코드체계전환에따라기존의코드에서진동기계기초에해당되는부분을정비함.제정(2016.6)KDS115030:2016∙한국산업표준과건설기준부합화에따라수정함수정(2018.7)KDS115030:2021∙건설기준코드의통일성을위해작성지침과부합화,
- 시공기면까지의높이(H)일반철도 고속철도일반철도 고속철도H<5.0m H<3.0m 1:1.5 1:1.85.0m≦H<10.0m3.0m≦H<9.0m1:1.8
1:1.810.0m≦H<15.0m9.0m≦H<15.0m1:2.0 1:2.0H≧15.0mH≧15.0m 1:2.3 1:2.3표4.1-2쌓기비탈면(철도)의표준경사가.쌓기비탈면의최종기울기는쌓기지지지반의형상및강도등을고려한비탈면안정을해석하여결정해야하며실제시공시변경된사항이있을경우에는반드시재설계를해야한다
.나.소단은일반철도의경우시공기면에서매5m마다설치하고 ,고속철도는상부노반쌓기와하부노반쌓기의경계에설치하고다음 6.0m높이마다설치한다 .이때일반철도와고속철도의소단폭은1.5m로하고외측으로향하는
5%의횡단기울기를둔다.소단의위치가쌓기지지지반면에서 3.0m이하인경우에는그소단을생략한다 .
- source_sentence: 비탈면이나 옹벽 구조물의 설계 시 허용되는 변형은 무엇입니까?
sentences:
- 4.1.5돌(블록 )붙이기공법의배수시설(1)돌(블록 )붙이기를한경우배면의지하수배수를위해일정두께를자갈로뒤채움하며,세립분의유출위험이있는경우에는필터재료를설치한다
.(2)비탈면배면으로부터유입되는지하수또는표면에서유입되는물을배수시키기위해설치하는배수시설은다음과같다 .
- 낙석 ‧토석대책시설 KDS117020:2020KDS110000지반설계기준 11.일반사항1.1목적(1)이기준은낙석‧토석대책시설에대한일반적인설계기준과설계방법을제시하여낙석과토석류로인해발생가능한인명과시설물피해를방지또는저감하는것을목적으로한다
.1.2적용범위(1)이기준은낙석과토석류대책을위한낙석방지망 ,낙석방지울타리 ,낙석방지옹벽 ,피암터널 ,토석류대책시설의설계에적용한다 .1.3참고기준1.3.1관련법규내용없음1.3.2관련기준내용없음1.4용어의정의내용없음1.5시설물의구성(1)낙석과토석류대책시설은낙석방지망
,낙석방지울타리 ,낙석방지옹벽 ,피암터널 ,토석류대책시설등으로구성된다 .(2)낙석과토석류대책시설중토석류대책시설은발생억제시설 ,흐름완화및제어시설
,퇴적및유도시설로나눌수있다 .
- 4.2기초구조물의설계거동한계4.2.1기능수행수준에 따른설계거동한계(1)비탈면이나옹벽구조물은부분적인항복과소성변형을허용할수있으나 ,주변구조물및부속시설들은탄성또는탄성에준하는거동을허용할수있으므로기초내진설계시유의하여야한다
.(2)얕은기초및깊은기초는지진시그주변지반의소성거동은허용할수있으나 ,기초구조물자체와모든상부구조물및부속시설이탄성또는탄성에준하는거동을허용한다 .
- source_sentence: 억지말뚝으로 보강된 비탈면의 내진설계 결정 기준은 무엇인가요?
sentences:
- 지반계측 KDS111015:2021KDS110000지반설계기준 344.2.2.2 계측기기운용기법(1) 인력에의한계측기기운용과자동화장비에의한운용기법으로크게구분할수있으며,
붕괴및활동의진행특성, 계측대상시설물의중요도 , 피해발생시영향, 경제성, 계측빈도등을고려하여운용기법을선택하여야한다.4.2.2.3 일반적인계측관리의자동화(1)
기록지또는저장장치에계측자료를기록할때까지를자동화하고 , 그후의처리는별도로컴퓨터로실시하는반자동계측관리기법과 , 자료수집ㆍ해석ㆍ그래프화까지를유선ㆍ무선으로온라인화된시스템으로일관하여실시하는전자동계측관리기법및상기의두가지방법을병용하는기법으로구분하며
, 계측대상조건을고려하여운용기법을선정하여야한다.4.2.2.4 피해방지및최소화방법(1) 조기에징후를감지하는것이중요하고 , 모니터링과동시에신속하게그정보를전달ㆍ처리하는것이필요하며계측자료의수집ㆍ처리ㆍ해석까지를일괄하여처리하는자동화기술을사용하는것을고려하여야한다.
- (9)매립지반에설치하는기초는특별히주의하여야하는데 ,기초하부의접지압력은가급적균등하게분포하도록설계하고 ,접지압력의분포는흙또는암,그리고구조물의특성에따라달라지며
,토질역학및암석역학적원리들과일치하여야한다 .2.조사및계획∙내용없음 .3.재료∙내용없음 .4.설계4.1지지력산정4.1.1지지력산정을위한고려사항(1)기초설계시시추조사
,현장및실내시험을통하여지반특성을파악한후지지력을산정한다 .그러나상재하중이작은구조물또는가설구조물의기초는인근구조물의경험값,기초설계및시공성과 ,현장시험자료를통하여지지력을추정할수있다
.
- 비탈면보강공법 KDS117015:2020KDS110000지반설계기준 9입시켜야한다 .4.3.3내진설계여부(1)억지말뚝으로보강된비탈면의내진설계는보강되지않은비탈면의내진설계여부에따라결정하며
,KDS 119000의비탈면내진등급을참고한다 .(2)억지말뚝으로보강된비탈면의지진시안정해석은 4.4및KDS 119000을참조한다 .4.4지진시안정해석4.4.1네일(1)지진시네일로보강된비탈면의안정해석에서는내적안정과외적안정성을검토한다
.(2)네일로보강된비탈면의지진시안정해석에서고려하는지진하중은파괴토체의자중과지진계수 (Am)를곱한등가지진력으로 고려하며 ,파괴토체의중심에횡방향으로작용시킨다
.(3)지진에의한지진계수는 KDS 119000(1.6.5)에서제시하는유효수평지반가 속도(S)를이용하여산정한다 .4.4.2록볼트(1)지진시록볼트로보강된비탈면의안정해석에서는외적안정성을검토한다
.(2)록볼트로보강된비탈면의지진시안정해석에서고려하는지진하중은파괴토체의자중과지진계수 (Am)를곱한등가지진력으로 고려하며 ,파괴토체의중심에횡방향으로작용시킨다
.
model-index:
- name: SentenceTransformer based on embaas/sentence-transformers-multilingual-e5-large
results:
- task:
type: information-retrieval
name: Information Retrieval
dataset:
name: Unknown
type: unknown
metrics:
- type: cosine_accuracy@1
value: 0.5449090205187767
name: Cosine Accuracy@1
- type: cosine_accuracy@3
value: 0.721835075493612
name: Cosine Accuracy@3
- type: cosine_accuracy@5
value: 0.7779713511420828
name: Cosine Accuracy@5
- type: cosine_accuracy@10
value: 0.8453348819202477
name: Cosine Accuracy@10
- type: cosine_precision@1
value: 0.5449090205187767
name: Cosine Precision@1
- type: cosine_precision@3
value: 0.24061169183120404
name: Cosine Precision@3
- type: cosine_precision@5
value: 0.15559427022841657
name: Cosine Precision@5
- type: cosine_precision@10
value: 0.08453348819202476
name: Cosine Precision@10
- type: cosine_recall@1
value: 0.5449090205187767
name: Cosine Recall@1
- type: cosine_recall@3
value: 0.721835075493612
name: Cosine Recall@3
- type: cosine_recall@5
value: 0.7779713511420828
name: Cosine Recall@5
- type: cosine_recall@10
value: 0.8453348819202477
name: Cosine Recall@10
- type: cosine_ndcg@10
value: 0.6940049751432595
name: Cosine Ndcg@10
- type: cosine_mrr@10
value: 0.6456807790867042
name: Cosine Mrr@10
- type: cosine_map@100
value: 0.6520389829933901
name: Cosine Map@100
- type: dot_accuracy@1
value: 0.5449090205187767
name: Dot Accuracy@1
- type: dot_accuracy@3
value: 0.721835075493612
name: Dot Accuracy@3
- type: dot_accuracy@5
value: 0.7779713511420828
name: Dot Accuracy@5
- type: dot_accuracy@10
value: 0.8453348819202477
name: Dot Accuracy@10
- type: dot_precision@1
value: 0.5449090205187767
name: Dot Precision@1
- type: dot_precision@3
value: 0.24061169183120404
name: Dot Precision@3
- type: dot_precision@5
value: 0.15559427022841657
name: Dot Precision@5
- type: dot_precision@10
value: 0.08453348819202476
name: Dot Precision@10
- type: dot_recall@1
value: 0.5449090205187767
name: Dot Recall@1
- type: dot_recall@3
value: 0.721835075493612
name: Dot Recall@3
- type: dot_recall@5
value: 0.7779713511420828
name: Dot Recall@5
- type: dot_recall@10
value: 0.8453348819202477
name: Dot Recall@10
- type: dot_ndcg@10
value: 0.6940049751432595
name: Dot Ndcg@10
- type: dot_mrr@10
value: 0.6456807790867042
name: Dot Mrr@10
- type: dot_map@100
value: 0.652039280798566
name: Dot Map@100
---
# SentenceTransformer based on embaas/sentence-transformers-multilingual-e5-large
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [embaas/sentence-transformers-multilingual-e5-large](https://huggingface.co/embaas/sentence-transformers-multilingual-e5-large). 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:** [embaas/sentence-transformers-multilingual-e5-large](https://huggingface.co/embaas/sentence-transformers-multilingual-e5-large) <!-- at revision f5ce37891bfe42176585f3e74b256456ca1119a3 -->
- **Maximum Sequence Length:** 512 tokens
- **Output Dimensionality:** 1024 tokens
- **Similarity Function:** Cosine Similarity
<!-- - **Training Dataset:** Unknown -->
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->
### Model Sources
- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
### Full Model Architecture
```
SentenceTransformer(
(0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: XLMRobertaModel
(1): Pooling({'word_embedding_dimension': 1024, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, '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:
```bash
pip install -U sentence-transformers
```
Then you can load this model and run inference.
```python
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("jerryyun/kicon_e5large_15_v1")
# Run inference
sentences = [
'억지말뚝으로 보강된 비탈면의 내진설계 결정 기준은 무엇인가요?',
'비탈면보강공법 KDS117015:2020KDS110000지반설계기준 9입시켜야한다 .4.3.3내진설계여부(1)억지말뚝으로보강된비탈면의내진설계는보강되지않은비탈면의내진설계여부에따라결정하며 ,KDS 119000의비탈면내진등급을참고한다 .(2)억지말뚝으로보강된비탈면의지진시안정해석은 4.4및KDS 119000을참조한다 .4.4지진시안정해석4.4.1네일(1)지진시네일로보강된비탈면의안정해석에서는내적안정과외적안정성을검토한다 .(2)네일로보강된비탈면의지진시안정해석에서고려하는지진하중은파괴토체의자중과지진계수 (Am)를곱한등가지진력으로 고려하며 ,파괴토체의중심에횡방향으로작용시킨다 .(3)지진에의한지진계수는 KDS 119000(1.6.5)에서제시하는유효수평지반가 속도(S)를이용하여산정한다 .4.4.2록볼트(1)지진시록볼트로보강된비탈면의안정해석에서는외적안정성을검토한다 .(2)록볼트로보강된비탈면의지진시안정해석에서고려하는지진하중은파괴토체의자중과지진계수 (Am)를곱한등가지진력으로 고려하며 ,파괴토체의중심에횡방향으로작용시킨다 .',
'지반계측 KDS111015:2021KDS110000지반설계기준 344.2.2.2 계측기기운용기법(1) 인력에의한계측기기운용과자동화장비에의한운용기법으로크게구분할수있으며, 붕괴및활동의진행특성, 계측대상시설물의중요도 , 피해발생시영향, 경제성, 계측빈도등을고려하여운용기법을선택하여야한다.4.2.2.3 일반적인계측관리의자동화(1) 기록지또는저장장치에계측자료를기록할때까지를자동화하고 , 그후의처리는별도로컴퓨터로실시하는반자동계측관리기법과 , 자료수집ㆍ해석ㆍ그래프화까지를유선ㆍ무선으로온라인화된시스템으로일관하여실시하는전자동계측관리기법및상기의두가지방법을병용하는기법으로구분하며 , 계측대상조건을고려하여운용기법을선정하여야한다.4.2.2.4 피해방지및최소화방법(1) 조기에징후를감지하는것이중요하고 , 모니터링과동시에신속하게그정보를전달ㆍ처리하는것이필요하며계측자료의수집ㆍ처리ㆍ해석까지를일괄하여처리하는자동화기술을사용하는것을고려하여야한다.',
]
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]
```
<!--
### Direct Usage (Transformers)
<details><summary>Click to see the direct usage in Transformers</summary>
</details>
-->
<!--
### Downstream Usage (Sentence Transformers)
You can finetune this model on your own dataset.
<details><summary>Click to expand</summary>
</details>
-->
<!--
### Out-of-Scope Use
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
-->
## Evaluation
### Metrics
#### Information Retrieval
* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator)
| Metric | Value |
|:--------------------|:----------|
| cosine_accuracy@1 | 0.5449 |
| cosine_accuracy@3 | 0.7218 |
| cosine_accuracy@5 | 0.778 |
| cosine_accuracy@10 | 0.8453 |
| cosine_precision@1 | 0.5449 |
| cosine_precision@3 | 0.2406 |
| cosine_precision@5 | 0.1556 |
| cosine_precision@10 | 0.0845 |
| cosine_recall@1 | 0.5449 |
| cosine_recall@3 | 0.7218 |
| cosine_recall@5 | 0.778 |
| cosine_recall@10 | 0.8453 |
| cosine_ndcg@10 | 0.694 |
| cosine_mrr@10 | 0.6457 |
| **cosine_map@100** | **0.652** |
| dot_accuracy@1 | 0.5449 |
| dot_accuracy@3 | 0.7218 |
| dot_accuracy@5 | 0.778 |
| dot_accuracy@10 | 0.8453 |
| dot_precision@1 | 0.5449 |
| dot_precision@3 | 0.2406 |
| dot_precision@5 | 0.1556 |
| dot_precision@10 | 0.0845 |
| dot_recall@1 | 0.5449 |
| dot_recall@3 | 0.7218 |
| dot_recall@5 | 0.778 |
| dot_recall@10 | 0.8453 |
| dot_ndcg@10 | 0.694 |
| dot_mrr@10 | 0.6457 |
| dot_map@100 | 0.652 |
<!--
## Bias, Risks and Limitations
*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
-->
<!--
### Recommendations
*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
-->
## Training Details
### Training Dataset
#### Unnamed Dataset
* Size: 41,881 training samples
* Columns: <code>sentence_0</code> and <code>sentence_1</code>
* Approximate statistics based on the first 1000 samples:
| | sentence_0 | sentence_1 |
|:--------|:-----------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|
| type | string | string |
| details | <ul><li>min: 10 tokens</li><li>mean: 24.26 tokens</li><li>max: 50 tokens</li></ul> | <ul><li>min: 15 tokens</li><li>mean: 237.12 tokens</li><li>max: 424 tokens</li></ul> |
* Samples:
| sentence_0 | sentence_1 |
|:----------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------|
| <code>KDS 10 00 00 설계기준은 어느 나라의 표준인가요?</code> | <code>KDS 10 00 00설계기준 Korean Design StandardKDS 10 00 00 : 2021공통설계기준.2021년5월12일개정http://www.kcsc.re.kr</code> |
| <code>KDS 10 00 00 설계기준은 최근에 언제 개정되었나요?</code> | <code>KDS 10 00 00설계기준 Korean Design StandardKDS 10 00 00 : 2021공통설계기준.2021년5월12일개정http://www.kcsc.re.kr</code> |
| <code>KDS 10 10 00 설계총칙 문서는 어떤 분야의 설계 기준을 다루고 있나요?</code> | <code>공통설계기준체계KDS 10 10 00 설계총칙 `21.05</code> |
* Loss: [<code>MultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativesrankingloss) with these parameters:
```json
{
"scale": 20.0,
"similarity_fct": "cos_sim"
}
```
### Training Hyperparameters
#### Non-Default Hyperparameters
- `eval_strategy`: steps
- `per_device_train_batch_size`: 32
- `per_device_eval_batch_size`: 32
- `num_train_epochs`: 15
- `multi_dataset_batch_sampler`: round_robin
#### All Hyperparameters
<details><summary>Click to expand</summary>
- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: steps
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 32
- `per_device_eval_batch_size`: 32
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `gradient_accumulation_steps`: 1
- `eval_accumulation_steps`: None
- `learning_rate`: 5e-05
- `weight_decay`: 0.0
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1
- `num_train_epochs`: 15
- `max_steps`: -1
- `lr_scheduler_type`: linear
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.0
- `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`: False
- `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`: False
- `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`: False
- `hub_always_push`: False
- `gradient_checkpointing`: False
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `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
- `batch_sampler`: batch_sampler
- `multi_dataset_batch_sampler`: round_robin
</details>
### Training Logs
<details><summary>Click to expand</summary>
| Epoch | Step | Training Loss | cosine_map@100 |
|:-------:|:-----:|:-------------:|:--------------:|
| 0.0115 | 15 | - | 0.4930 |
| 0.0229 | 30 | - | 0.5107 |
| 0.0344 | 45 | - | 0.5290 |
| 0.0458 | 60 | - | 0.5474 |
| 0.0573 | 75 | - | 0.5568 |
| 0.0688 | 90 | - | 0.5569 |
| 0.0802 | 105 | - | 0.5483 |
| 0.0917 | 120 | - | 0.5353 |
| 0.1031 | 135 | - | 0.5278 |
| 0.1146 | 150 | - | 0.5300 |
| 0.1261 | 165 | - | 0.5439 |
| 0.1375 | 180 | - | 0.5566 |
| 0.1490 | 195 | - | 0.5671 |
| 0.1604 | 210 | - | 0.5747 |
| 0.1719 | 225 | - | 0.5794 |
| 0.1833 | 240 | - | 0.5870 |
| 0.1948 | 255 | - | 0.5919 |
| 0.2063 | 270 | - | 0.5956 |
| 0.2177 | 285 | - | 0.6004 |
| 0.2292 | 300 | - | 0.6009 |
| 0.2406 | 315 | - | 0.6017 |
| 0.2521 | 330 | - | 0.6084 |
| 0.2636 | 345 | - | 0.6156 |
| 0.2750 | 360 | - | 0.6073 |
| 0.2865 | 375 | - | 0.6096 |
| 0.2979 | 390 | - | 0.6168 |
| 0.3094 | 405 | - | 0.6219 |
| 0.3209 | 420 | - | 0.6208 |
| 0.3323 | 435 | - | 0.6180 |
| 0.3438 | 450 | - | 0.6253 |
| 0.3552 | 465 | - | 0.6225 |
| 0.3667 | 480 | - | 0.6297 |
| 0.3782 | 495 | - | 0.6315 |
| 0.3820 | 500 | 0.5905 | - |
| 0.3896 | 510 | - | 0.6347 |
| 0.4011 | 525 | - | 0.6398 |
| 0.4125 | 540 | - | 0.6462 |
| 0.4240 | 555 | - | 0.6459 |
| 0.4354 | 570 | - | 0.6441 |
| 0.4469 | 585 | - | 0.6359 |
| 0.4584 | 600 | - | 0.6424 |
| 0.4698 | 615 | - | 0.6405 |
| 0.4813 | 630 | - | 0.6340 |
| 0.4927 | 645 | - | 0.6416 |
| 0.5042 | 660 | - | 0.6444 |
| 0.5157 | 675 | - | 0.6381 |
| 0.5271 | 690 | - | 0.6363 |
| 0.5386 | 705 | - | 0.6408 |
| 0.5500 | 720 | - | 0.6414 |
| 0.5615 | 735 | - | 0.6509 |
| 0.5730 | 750 | - | 0.6509 |
| 0.5844 | 765 | - | 0.6516 |
| 0.5959 | 780 | - | 0.6505 |
| 0.6073 | 795 | - | 0.6493 |
| 0.6188 | 810 | - | 0.6476 |
| 0.6303 | 825 | - | 0.6458 |
| 0.6417 | 840 | - | 0.6461 |
| 0.6532 | 855 | - | 0.6538 |
| 0.6646 | 870 | - | 0.6439 |
| 0.6761 | 885 | - | 0.6530 |
| 0.6875 | 900 | - | 0.6432 |
| 0.6990 | 915 | - | 0.6460 |
| 0.7105 | 930 | - | 0.6594 |
| 0.7219 | 945 | - | 0.6650 |
| 0.7334 | 960 | - | 0.6536 |
| 0.7448 | 975 | - | 0.6484 |
| 0.7563 | 990 | - | 0.6426 |
| 0.7639 | 1000 | 0.086 | - |
| 0.7678 | 1005 | - | 0.6509 |
| 0.7792 | 1020 | - | 0.6485 |
| 0.7907 | 1035 | - | 0.6464 |
| 0.8021 | 1050 | - | 0.6595 |
| 0.8136 | 1065 | - | 0.6538 |
| 0.8251 | 1080 | - | 0.6517 |
| 0.8365 | 1095 | - | 0.6638 |
| 0.8480 | 1110 | - | 0.6624 |
| 0.8594 | 1125 | - | 0.6582 |
| 0.8709 | 1140 | - | 0.6517 |
| 0.8824 | 1155 | - | 0.6504 |
| 0.8938 | 1170 | - | 0.6545 |
| 0.9053 | 1185 | - | 0.6588 |
| 0.9167 | 1200 | - | 0.6558 |
| 0.9282 | 1215 | - | 0.6615 |
| 0.9396 | 1230 | - | 0.6640 |
| 0.9511 | 1245 | - | 0.6612 |
| 0.9626 | 1260 | - | 0.6626 |
| 0.9740 | 1275 | - | 0.6519 |
| 0.9855 | 1290 | - | 0.6489 |
| 0.9969 | 1305 | - | 0.6542 |
| 1.0 | 1309 | - | 0.6542 |
| 1.0084 | 1320 | - | 0.6554 |
| 1.0199 | 1335 | - | 0.6596 |
| 1.0313 | 1350 | - | 0.6671 |
| 1.0428 | 1365 | - | 0.6636 |
| 1.0542 | 1380 | - | 0.6729 |
| 1.0657 | 1395 | - | 0.6608 |
| 1.0772 | 1410 | - | 0.6718 |
| 1.0886 | 1425 | - | 0.6614 |
| 1.1001 | 1440 | - | 0.6639 |
| 1.1115 | 1455 | - | 0.6649 |
| 1.1230 | 1470 | - | 0.6680 |
| 1.1345 | 1485 | - | 0.6516 |
| 1.1459 | 1500 | 0.0704 | 0.6764 |
| 1.1574 | 1515 | - | 0.6713 |
| 1.1688 | 1530 | - | 0.6690 |
| 1.1803 | 1545 | - | 0.6750 |
| 1.1917 | 1560 | - | 0.6730 |
| 1.2032 | 1575 | - | 0.6690 |
| 1.2147 | 1590 | - | 0.6590 |
| 1.2261 | 1605 | - | 0.6699 |
| 1.2376 | 1620 | - | 0.6627 |
| 1.2490 | 1635 | - | 0.6747 |
| 1.2605 | 1650 | - | 0.6726 |
| 1.2720 | 1665 | - | 0.6548 |
| 1.2834 | 1680 | - | 0.6607 |
| 1.2949 | 1695 | - | 0.6678 |
| 1.3063 | 1710 | - | 0.6632 |
| 1.3178 | 1725 | - | 0.6505 |
| 1.3293 | 1740 | - | 0.6583 |
| 1.3407 | 1755 | - | 0.6713 |
| 1.3522 | 1770 | - | 0.6434 |
| 1.3636 | 1785 | - | 0.6715 |
| 1.3751 | 1800 | - | 0.6699 |
| 1.3866 | 1815 | - | 0.6663 |
| 1.3980 | 1830 | - | 0.6646 |
| 1.4095 | 1845 | - | 0.6547 |
| 1.4209 | 1860 | - | 0.6650 |
| 1.4324 | 1875 | - | 0.6569 |
| 1.4439 | 1890 | - | 0.6496 |
| 1.4553 | 1905 | - | 0.6638 |
| 1.4668 | 1920 | - | 0.6714 |
| 1.4782 | 1935 | - | 0.6474 |
| 1.4897 | 1950 | - | 0.6741 |
| 1.5011 | 1965 | - | 0.6626 |
| 1.5126 | 1980 | - | 0.6562 |
| 1.5241 | 1995 | - | 0.6525 |
| 1.5279 | 2000 | 0.0563 | - |
| 1.5355 | 2010 | - | 0.6672 |
| 1.5470 | 2025 | - | 0.6577 |
| 1.5584 | 2040 | - | 0.6609 |
| 1.5699 | 2055 | - | 0.6583 |
| 1.5814 | 2070 | - | 0.6734 |
| 1.5928 | 2085 | - | 0.6592 |
| 1.6043 | 2100 | - | 0.6553 |
| 1.6157 | 2115 | - | 0.6584 |
| 1.6272 | 2130 | - | 0.6515 |
| 1.6387 | 2145 | - | 0.6541 |
| 1.6501 | 2160 | - | 0.6601 |
| 1.6616 | 2175 | - | 0.6641 |
| 1.6730 | 2190 | - | 0.6605 |
| 1.6845 | 2205 | - | 0.6618 |
| 1.6960 | 2220 | - | 0.6637 |
| 1.7074 | 2235 | - | 0.6614 |
| 1.7189 | 2250 | - | 0.6577 |
| 1.7303 | 2265 | - | 0.6587 |
| 1.7418 | 2280 | - | 0.6556 |
| 1.7532 | 2295 | - | 0.6464 |
| 1.7647 | 2310 | - | 0.6655 |
| 1.7762 | 2325 | - | 0.6641 |
| 1.7876 | 2340 | - | 0.6518 |
| 1.7991 | 2355 | - | 0.6767 |
| 1.8105 | 2370 | - | 0.6693 |
| 1.8220 | 2385 | - | 0.6599 |
| 1.8335 | 2400 | - | 0.6651 |
| 1.8449 | 2415 | - | 0.6736 |
| 1.8564 | 2430 | - | 0.6568 |
| 1.8678 | 2445 | - | 0.6551 |
| 1.8793 | 2460 | - | 0.6615 |
| 1.8908 | 2475 | - | 0.6634 |
| 1.9022 | 2490 | - | 0.6547 |
| 1.9099 | 2500 | 0.0407 | - |
| 1.9137 | 2505 | - | 0.6636 |
| 1.9251 | 2520 | - | 0.6721 |
| 1.9366 | 2535 | - | 0.6656 |
| 1.9481 | 2550 | - | 0.6667 |
| 1.9595 | 2565 | - | 0.6624 |
| 1.9710 | 2580 | - | 0.6605 |
| 1.9824 | 2595 | - | 0.6463 |
| 1.9939 | 2610 | - | 0.6723 |
| 2.0 | 2618 | - | 0.6774 |
| 2.0053 | 2625 | - | 0.6737 |
| 2.0168 | 2640 | - | 0.6717 |
| 2.0283 | 2655 | - | 0.6728 |
| 2.0397 | 2670 | - | 0.6665 |
| 2.0512 | 2685 | - | 0.6725 |
| 2.0626 | 2700 | - | 0.6606 |
| 2.0741 | 2715 | - | 0.6644 |
| 2.0856 | 2730 | - | 0.6708 |
| 2.0970 | 2745 | - | 0.6606 |
| 2.1085 | 2760 | - | 0.6699 |
| 2.1199 | 2775 | - | 0.6730 |
| 2.1314 | 2790 | - | 0.6671 |
| 2.1429 | 2805 | - | 0.6669 |
| 2.1543 | 2820 | - | 0.6760 |
| 2.1658 | 2835 | - | 0.6710 |
| 2.1772 | 2850 | - | 0.6584 |
| 2.1887 | 2865 | - | 0.6749 |
| 2.2002 | 2880 | - | 0.6680 |
| 2.2116 | 2895 | - | 0.6741 |
| 2.2231 | 2910 | - | 0.6693 |
| 2.2345 | 2925 | - | 0.6634 |
| 2.2460 | 2940 | - | 0.6585 |
| 2.2574 | 2955 | - | 0.6669 |
| 2.2689 | 2970 | - | 0.6737 |
| 2.2804 | 2985 | - | 0.6592 |
| 2.2918 | 3000 | 0.0345 | 0.6662 |
| 2.3033 | 3015 | - | 0.6731 |
| 2.3147 | 3030 | - | 0.6670 |
| 2.3262 | 3045 | - | 0.6604 |
| 2.3377 | 3060 | - | 0.6682 |
| 2.3491 | 3075 | - | 0.6610 |
| 2.3606 | 3090 | - | 0.6683 |
| 2.3720 | 3105 | - | 0.6785 |
| 2.3835 | 3120 | - | 0.6662 |
| 2.3950 | 3135 | - | 0.6603 |
| 2.4064 | 3150 | - | 0.6652 |
| 2.4179 | 3165 | - | 0.6604 |
| 2.4293 | 3180 | - | 0.6665 |
| 2.4408 | 3195 | - | 0.6630 |
| 2.4523 | 3210 | - | 0.6512 |
| 2.4637 | 3225 | - | 0.6625 |
| 2.4752 | 3240 | - | 0.6559 |
| 2.4866 | 3255 | - | 0.6612 |
| 2.4981 | 3270 | - | 0.6696 |
| 2.5095 | 3285 | - | 0.6558 |
| 2.5210 | 3300 | - | 0.6530 |
| 2.5325 | 3315 | - | 0.6571 |
| 2.5439 | 3330 | - | 0.6609 |
| 2.5554 | 3345 | - | 0.6587 |
| 2.5668 | 3360 | - | 0.6687 |
| 2.5783 | 3375 | - | 0.6630 |
| 2.5898 | 3390 | - | 0.6706 |
| 2.6012 | 3405 | - | 0.6504 |
| 2.6127 | 3420 | - | 0.6652 |
| 2.6241 | 3435 | - | 0.6718 |
| 2.6356 | 3450 | - | 0.6717 |
| 2.6471 | 3465 | - | 0.6604 |
| 2.6585 | 3480 | - | 0.6554 |
| 2.6700 | 3495 | - | 0.6566 |
| 2.6738 | 3500 | 0.0254 | - |
| 2.6814 | 3510 | - | 0.6603 |
| 2.6929 | 3525 | - | 0.6765 |
| 2.7044 | 3540 | - | 0.6709 |
| 2.7158 | 3555 | - | 0.6663 |
| 2.7273 | 3570 | - | 0.6617 |
| 2.7387 | 3585 | - | 0.6595 |
| 2.7502 | 3600 | - | 0.6613 |
| 2.7617 | 3615 | - | 0.6581 |
| 2.7731 | 3630 | - | 0.6727 |
| 2.7846 | 3645 | - | 0.6603 |
| 2.7960 | 3660 | - | 0.6587 |
| 2.8075 | 3675 | - | 0.6703 |
| 2.8189 | 3690 | - | 0.6708 |
| 2.8304 | 3705 | - | 0.6673 |
| 2.8419 | 3720 | - | 0.6673 |
| 2.8533 | 3735 | - | 0.6766 |
| 2.8648 | 3750 | - | 0.6654 |
| 2.8762 | 3765 | - | 0.6568 |
| 2.8877 | 3780 | - | 0.6606 |
| 2.8992 | 3795 | - | 0.6522 |
| 2.9106 | 3810 | - | 0.6550 |
| 2.9221 | 3825 | - | 0.6773 |
| 2.9335 | 3840 | - | 0.6714 |
| 2.9450 | 3855 | - | 0.6721 |
| 2.9565 | 3870 | - | 0.6667 |
| 2.9679 | 3885 | - | 0.6639 |
| 2.9794 | 3900 | - | 0.6674 |
| 2.9908 | 3915 | - | 0.6626 |
| 3.0 | 3927 | - | 0.6654 |
| 3.0023 | 3930 | - | 0.6667 |
| 3.0138 | 3945 | - | 0.6707 |
| 3.0252 | 3960 | - | 0.6687 |
| 3.0367 | 3975 | - | 0.6731 |
| 3.0481 | 3990 | - | 0.6771 |
| 3.0558 | 4000 | 0.0198 | - |
| 3.0596 | 4005 | - | 0.6792 |
| 3.0710 | 4020 | - | 0.6672 |
| 3.0825 | 4035 | - | 0.6714 |
| 3.0940 | 4050 | - | 0.6707 |
| 3.1054 | 4065 | - | 0.6688 |
| 3.1169 | 4080 | - | 0.6838 |
| 3.1283 | 4095 | - | 0.6718 |
| 3.1398 | 4110 | - | 0.6595 |
| 3.1513 | 4125 | - | 0.6741 |
| 3.1627 | 4140 | - | 0.6737 |
| 3.1742 | 4155 | - | 0.6731 |
| 3.1856 | 4170 | - | 0.6700 |
| 3.1971 | 4185 | - | 0.6748 |
| 3.2086 | 4200 | - | 0.6746 |
| 3.2200 | 4215 | - | 0.6716 |
| 3.2315 | 4230 | - | 0.6755 |
| 3.2429 | 4245 | - | 0.6700 |
| 3.2544 | 4260 | - | 0.6652 |
| 3.2659 | 4275 | - | 0.6700 |
| 3.2773 | 4290 | - | 0.6724 |
| 3.2888 | 4305 | - | 0.6643 |
| 3.3002 | 4320 | - | 0.6737 |
| 3.3117 | 4335 | - | 0.6756 |
| 3.3231 | 4350 | - | 0.6708 |
| 3.3346 | 4365 | - | 0.6682 |
| 3.3461 | 4380 | - | 0.6788 |
| 3.3575 | 4395 | - | 0.6732 |
| 3.3690 | 4410 | - | 0.6753 |
| 3.3804 | 4425 | - | 0.6803 |
| 3.3919 | 4440 | - | 0.6738 |
| 3.4034 | 4455 | - | 0.6732 |
| 3.4148 | 4470 | - | 0.6701 |
| 3.4263 | 4485 | - | 0.6668 |
| 3.4377 | 4500 | 0.0185 | 0.6700 |
| 3.4492 | 4515 | - | 0.6633 |
| 3.4607 | 4530 | - | 0.6696 |
| 3.4721 | 4545 | - | 0.6822 |
| 3.4836 | 4560 | - | 0.6815 |
| 3.4950 | 4575 | - | 0.6717 |
| 3.5065 | 4590 | - | 0.6590 |
| 3.5180 | 4605 | - | 0.6560 |
| 3.5294 | 4620 | - | 0.6660 |
| 3.5409 | 4635 | - | 0.6698 |
| 3.5523 | 4650 | - | 0.6660 |
| 3.5638 | 4665 | - | 0.6638 |
| 3.5752 | 4680 | - | 0.6696 |
| 3.5867 | 4695 | - | 0.6639 |
| 3.5982 | 4710 | - | 0.6666 |
| 3.6096 | 4725 | - | 0.6626 |
| 3.6211 | 4740 | - | 0.6691 |
| 3.6325 | 4755 | - | 0.6648 |
| 3.6440 | 4770 | - | 0.6619 |
| 3.6555 | 4785 | - | 0.6640 |
| 3.6669 | 4800 | - | 0.6667 |
| 3.6784 | 4815 | - | 0.6670 |
| 3.6898 | 4830 | - | 0.6704 |
| 3.7013 | 4845 | - | 0.6591 |
| 3.7128 | 4860 | - | 0.6658 |
| 3.7242 | 4875 | - | 0.6597 |
| 3.7357 | 4890 | - | 0.6629 |
| 3.7471 | 4905 | - | 0.6615 |
| 3.7586 | 4920 | - | 0.6519 |
| 3.7701 | 4935 | - | 0.6557 |
| 3.7815 | 4950 | - | 0.6668 |
| 3.7930 | 4965 | - | 0.6587 |
| 3.8044 | 4980 | - | 0.6653 |
| 3.8159 | 4995 | - | 0.6683 |
| 3.8197 | 5000 | 0.0165 | - |
| 3.8273 | 5010 | - | 0.6671 |
| 3.8388 | 5025 | - | 0.6671 |
| 3.8503 | 5040 | - | 0.6709 |
| 3.8617 | 5055 | - | 0.6708 |
| 3.8732 | 5070 | - | 0.6633 |
| 3.8846 | 5085 | - | 0.6597 |
| 3.8961 | 5100 | - | 0.6590 |
| 3.9076 | 5115 | - | 0.6577 |
| 3.9190 | 5130 | - | 0.6607 |
| 3.9305 | 5145 | - | 0.6674 |
| 3.9419 | 5160 | - | 0.6647 |
| 3.9534 | 5175 | - | 0.6609 |
| 3.9649 | 5190 | - | 0.6657 |
| 3.9763 | 5205 | - | 0.6576 |
| 3.9878 | 5220 | - | 0.6624 |
| 3.9992 | 5235 | - | 0.6612 |
| 4.0 | 5236 | - | 0.6611 |
| 4.0107 | 5250 | - | 0.6639 |
| 4.0222 | 5265 | - | 0.6735 |
| 4.0336 | 5280 | - | 0.6779 |
| 4.0451 | 5295 | - | 0.6802 |
| 4.0565 | 5310 | - | 0.6761 |
| 4.0680 | 5325 | - | 0.6718 |
| 4.0794 | 5340 | - | 0.6678 |
| 4.0909 | 5355 | - | 0.6726 |
| 4.1024 | 5370 | - | 0.6733 |
| 4.1138 | 5385 | - | 0.6756 |
| 4.1253 | 5400 | - | 0.6787 |
| 4.1367 | 5415 | - | 0.6676 |
| 4.1482 | 5430 | - | 0.6689 |
| 4.1597 | 5445 | - | 0.6674 |
| 4.1711 | 5460 | - | 0.6667 |
| 4.1826 | 5475 | - | 0.6773 |
| 4.1940 | 5490 | - | 0.6780 |
| 4.2017 | 5500 | 0.013 | - |
| 4.2055 | 5505 | - | 0.6732 |
| 4.2170 | 5520 | - | 0.6697 |
| 4.2284 | 5535 | - | 0.6683 |
| 4.2399 | 5550 | - | 0.6717 |
| 4.2513 | 5565 | - | 0.6692 |
| 4.2628 | 5580 | - | 0.6606 |
| 4.2743 | 5595 | - | 0.6621 |
| 4.2857 | 5610 | - | 0.6679 |
| 4.2972 | 5625 | - | 0.6691 |
| 4.3086 | 5640 | - | 0.6798 |
| 4.3201 | 5655 | - | 0.6765 |
| 4.3316 | 5670 | - | 0.6658 |
| 4.3430 | 5685 | - | 0.6756 |
| 4.3545 | 5700 | - | 0.6713 |
| 4.3659 | 5715 | - | 0.6721 |
| 4.3774 | 5730 | - | 0.6776 |
| 4.3888 | 5745 | - | 0.6747 |
| 4.4003 | 5760 | - | 0.6639 |
| 4.4118 | 5775 | - | 0.6755 |
| 4.4232 | 5790 | - | 0.6719 |
| 4.4347 | 5805 | - | 0.6670 |
| 4.4461 | 5820 | - | 0.6615 |
| 4.4576 | 5835 | - | 0.6556 |
| 4.4691 | 5850 | - | 0.6584 |
| 4.4805 | 5865 | - | 0.6575 |
| 4.4920 | 5880 | - | 0.6659 |
| 4.5034 | 5895 | - | 0.6642 |
| 4.5149 | 5910 | - | 0.6670 |
| 4.5264 | 5925 | - | 0.6619 |
| 4.5378 | 5940 | - | 0.6619 |
| 4.5493 | 5955 | - | 0.6687 |
| 4.5607 | 5970 | - | 0.6656 |
| 4.5722 | 5985 | - | 0.6661 |
| 4.5837 | 6000 | 0.015 | 0.6657 |
| 4.5951 | 6015 | - | 0.6635 |
| 4.6066 | 6030 | - | 0.6608 |
| 4.6180 | 6045 | - | 0.6634 |
| 4.6295 | 6060 | - | 0.6713 |
| 4.6409 | 6075 | - | 0.6649 |
| 4.6524 | 6090 | - | 0.6555 |
| 4.6639 | 6105 | - | 0.6576 |
| 4.6753 | 6120 | - | 0.6627 |
| 4.6868 | 6135 | - | 0.6669 |
| 4.6982 | 6150 | - | 0.6675 |
| 4.7097 | 6165 | - | 0.6561 |
| 4.7212 | 6180 | - | 0.6535 |
| 4.7326 | 6195 | - | 0.6604 |
| 4.7441 | 6210 | - | 0.6638 |
| 4.7555 | 6225 | - | 0.6621 |
| 4.7670 | 6240 | - | 0.6548 |
| 4.7785 | 6255 | - | 0.6577 |
| 4.7899 | 6270 | - | 0.6478 |
| 4.8014 | 6285 | - | 0.6571 |
| 4.8128 | 6300 | - | 0.6634 |
| 4.8243 | 6315 | - | 0.6637 |
| 4.8358 | 6330 | - | 0.6606 |
| 4.8472 | 6345 | - | 0.6706 |
| 4.8587 | 6360 | - | 0.6695 |
| 4.8701 | 6375 | - | 0.6690 |
| 4.8816 | 6390 | - | 0.6654 |
| 4.8930 | 6405 | - | 0.6551 |
| 4.9045 | 6420 | - | 0.6537 |
| 4.9160 | 6435 | - | 0.6605 |
| 4.9274 | 6450 | - | 0.6526 |
| 4.9389 | 6465 | - | 0.6743 |
| 4.9503 | 6480 | - | 0.6738 |
| 4.9618 | 6495 | - | 0.6576 |
| 4.9656 | 6500 | 0.0115 | - |
| 4.9733 | 6510 | - | 0.6542 |
| 4.9847 | 6525 | - | 0.6545 |
| 4.9962 | 6540 | - | 0.6605 |
| 5.0 | 6545 | - | 0.6599 |
| 5.0076 | 6555 | - | 0.6616 |
| 5.0191 | 6570 | - | 0.6657 |
| 5.0306 | 6585 | - | 0.6644 |
| 5.0420 | 6600 | - | 0.6680 |
| 5.0535 | 6615 | - | 0.6716 |
| 5.0649 | 6630 | - | 0.6737 |
| 5.0764 | 6645 | - | 0.6703 |
| 5.0879 | 6660 | - | 0.6693 |
| 5.0993 | 6675 | - | 0.6658 |
| 5.1108 | 6690 | - | 0.6630 |
| 5.1222 | 6705 | - | 0.6652 |
| 5.1337 | 6720 | - | 0.6672 |
| 5.1451 | 6735 | - | 0.6647 |
| 5.1566 | 6750 | - | 0.6707 |
| 5.1681 | 6765 | - | 0.6672 |
| 5.1795 | 6780 | - | 0.6588 |
| 5.1910 | 6795 | - | 0.6606 |
| 5.2024 | 6810 | - | 0.6689 |
| 5.2139 | 6825 | - | 0.6695 |
| 5.2254 | 6840 | - | 0.6693 |
| 5.2368 | 6855 | - | 0.6729 |
| 5.2483 | 6870 | - | 0.6711 |
| 5.2597 | 6885 | - | 0.6656 |
| 5.2712 | 6900 | - | 0.6556 |
| 5.2827 | 6915 | - | 0.6541 |
| 5.2941 | 6930 | - | 0.6702 |
| 5.3056 | 6945 | - | 0.6734 |
| 5.3170 | 6960 | - | 0.6704 |
| 5.3285 | 6975 | - | 0.6671 |
| 5.3400 | 6990 | - | 0.6645 |
| 5.3476 | 7000 | 0.0119 | - |
| 5.3514 | 7005 | - | 0.6719 |
| 5.3629 | 7020 | - | 0.6710 |
| 5.3743 | 7035 | - | 0.6666 |
| 5.3858 | 7050 | - | 0.6699 |
| 5.3972 | 7065 | - | 0.6728 |
| 5.4087 | 7080 | - | 0.6735 |
| 5.4202 | 7095 | - | 0.6700 |
| 5.4316 | 7110 | - | 0.6666 |
| 5.4431 | 7125 | - | 0.6650 |
| 5.4545 | 7140 | - | 0.6603 |
| 5.4660 | 7155 | - | 0.6573 |
| 5.4775 | 7170 | - | 0.6656 |
| 5.4889 | 7185 | - | 0.6672 |
| 5.5004 | 7200 | - | 0.6606 |
| 5.5118 | 7215 | - | 0.6623 |
| 5.5233 | 7230 | - | 0.6628 |
| 5.5348 | 7245 | - | 0.6602 |
| 5.5462 | 7260 | - | 0.6628 |
| 5.5577 | 7275 | - | 0.6642 |
| 5.5691 | 7290 | - | 0.6675 |
| 5.5806 | 7305 | - | 0.6618 |
| 5.5921 | 7320 | - | 0.6619 |
| 5.6035 | 7335 | - | 0.6603 |
| 5.6150 | 7350 | - | 0.6657 |
| 5.6264 | 7365 | - | 0.6709 |
| 5.6379 | 7380 | - | 0.6718 |
| 5.6494 | 7395 | - | 0.6640 |
| 5.6608 | 7410 | - | 0.6588 |
| 5.6723 | 7425 | - | 0.6664 |
| 5.6837 | 7440 | - | 0.6685 |
| 5.6952 | 7455 | - | 0.6651 |
| 5.7066 | 7470 | - | 0.6692 |
| 5.7181 | 7485 | - | 0.6687 |
| 5.7296 | 7500 | 0.0114 | 0.6551 |
| 5.7410 | 7515 | - | 0.6559 |
| 5.7525 | 7530 | - | 0.6590 |
| 5.7639 | 7545 | - | 0.6576 |
| 5.7754 | 7560 | - | 0.6545 |
| 5.7869 | 7575 | - | 0.6555 |
| 5.7983 | 7590 | - | 0.6600 |
| 5.8098 | 7605 | - | 0.6611 |
| 5.8212 | 7620 | - | 0.6641 |
| 5.8327 | 7635 | - | 0.6579 |
| 5.8442 | 7650 | - | 0.6669 |
| 5.8556 | 7665 | - | 0.6711 |
| 5.8671 | 7680 | - | 0.6661 |
| 5.8785 | 7695 | - | 0.6579 |
| 5.8900 | 7710 | - | 0.6527 |
| 5.9015 | 7725 | - | 0.6539 |
| 5.9129 | 7740 | - | 0.6476 |
| 5.9244 | 7755 | - | 0.6663 |
| 5.9358 | 7770 | - | 0.6705 |
| 5.9473 | 7785 | - | 0.6634 |
| 5.9587 | 7800 | - | 0.6641 |
| 5.9702 | 7815 | - | 0.6565 |
| 5.9817 | 7830 | - | 0.6552 |
| 5.9931 | 7845 | - | 0.6540 |
| 6.0 | 7854 | - | 0.6546 |
| 6.0046 | 7860 | - | 0.6577 |
| 6.0160 | 7875 | - | 0.6640 |
| 6.0275 | 7890 | - | 0.6682 |
| 6.0390 | 7905 | - | 0.6678 |
| 6.0504 | 7920 | - | 0.6692 |
| 6.0619 | 7935 | - | 0.6641 |
| 6.0733 | 7950 | - | 0.6589 |
| 6.0848 | 7965 | - | 0.6571 |
| 6.0963 | 7980 | - | 0.6618 |
| 6.1077 | 7995 | - | 0.6672 |
| 6.1115 | 8000 | 0.009 | - |
| 6.1192 | 8010 | - | 0.6695 |
| 6.1306 | 8025 | - | 0.6673 |
| 6.1421 | 8040 | - | 0.6651 |
| 6.1536 | 8055 | - | 0.6671 |
| 6.1650 | 8070 | - | 0.6693 |
| 6.1765 | 8085 | - | 0.6629 |
| 6.1879 | 8100 | - | 0.6642 |
| 6.1994 | 8115 | - | 0.6708 |
| 6.2108 | 8130 | - | 0.6709 |
| 6.2223 | 8145 | - | 0.6714 |
| 6.2338 | 8160 | - | 0.6670 |
| 6.2452 | 8175 | - | 0.6681 |
| 6.2567 | 8190 | - | 0.6603 |
| 6.2681 | 8205 | - | 0.6596 |
| 6.2796 | 8220 | - | 0.6623 |
| 6.2911 | 8235 | - | 0.6643 |
| 6.3025 | 8250 | - | 0.6669 |
| 6.3140 | 8265 | - | 0.6750 |
| 6.3254 | 8280 | - | 0.6714 |
| 6.3369 | 8295 | - | 0.6529 |
| 6.3484 | 8310 | - | 0.6559 |
| 6.3598 | 8325 | - | 0.6644 |
| 6.3713 | 8340 | - | 0.6665 |
| 6.3827 | 8355 | - | 0.6677 |
| 6.3942 | 8370 | - | 0.6733 |
| 6.4057 | 8385 | - | 0.6766 |
| 6.4171 | 8400 | - | 0.6740 |
| 6.4286 | 8415 | - | 0.6690 |
| 6.4400 | 8430 | - | 0.6586 |
| 6.4515 | 8445 | - | 0.6544 |
| 6.4629 | 8460 | - | 0.6566 |
| 6.4744 | 8475 | - | 0.6576 |
| 6.4859 | 8490 | - | 0.6555 |
| 6.4935 | 8500 | 0.0103 | - |
| 6.4973 | 8505 | - | 0.6641 |
| 6.5088 | 8520 | - | 0.6660 |
| 6.5202 | 8535 | - | 0.6628 |
| 6.5317 | 8550 | - | 0.6612 |
| 6.5432 | 8565 | - | 0.6555 |
| 6.5546 | 8580 | - | 0.6609 |
| 6.5661 | 8595 | - | 0.6665 |
| 6.5775 | 8610 | - | 0.6616 |
| 6.5890 | 8625 | - | 0.6589 |
| 6.6005 | 8640 | - | 0.6581 |
| 6.6119 | 8655 | - | 0.6566 |
| 6.6234 | 8670 | - | 0.6663 |
| 6.6348 | 8685 | - | 0.6696 |
| 6.6463 | 8700 | - | 0.6675 |
| 6.6578 | 8715 | - | 0.6625 |
| 6.6692 | 8730 | - | 0.6607 |
| 6.6807 | 8745 | - | 0.6611 |
| 6.6921 | 8760 | - | 0.6667 |
| 6.7036 | 8775 | - | 0.6688 |
| 6.7150 | 8790 | - | 0.6689 |
| 6.7265 | 8805 | - | 0.6655 |
| 6.7380 | 8820 | - | 0.6614 |
| 6.7494 | 8835 | - | 0.6600 |
| 6.7609 | 8850 | - | 0.6556 |
| 6.7723 | 8865 | - | 0.6555 |
| 6.7838 | 8880 | - | 0.6646 |
| 6.7953 | 8895 | - | 0.6544 |
| 6.8067 | 8910 | - | 0.6545 |
| 6.8182 | 8925 | - | 0.6619 |
| 6.8296 | 8940 | - | 0.6657 |
| 6.8411 | 8955 | - | 0.6665 |
| 6.8526 | 8970 | - | 0.6729 |
| 6.8640 | 8985 | - | 0.6692 |
| 6.8755 | 9000 | 0.0108 | 0.6666 |
| 6.8869 | 9015 | - | 0.6601 |
| 6.8984 | 9030 | - | 0.6598 |
| 6.9099 | 9045 | - | 0.6644 |
| 6.9213 | 9060 | - | 0.6608 |
| 6.9328 | 9075 | - | 0.6577 |
| 6.9442 | 9090 | - | 0.6708 |
| 6.9557 | 9105 | - | 0.6719 |
| 6.9672 | 9120 | - | 0.6623 |
| 6.9786 | 9135 | - | 0.6537 |
| 6.9901 | 9150 | - | 0.6544 |
| 7.0 | 9163 | - | 0.6556 |
| 7.0015 | 9165 | - | 0.6545 |
| 7.0130 | 9180 | - | 0.6542 |
| 7.0244 | 9195 | - | 0.6608 |
| 7.0359 | 9210 | - | 0.6618 |
| 7.0474 | 9225 | - | 0.6619 |
| 7.0588 | 9240 | - | 0.6620 |
| 7.0703 | 9255 | - | 0.6640 |
| 7.0817 | 9270 | - | 0.6603 |
| 7.0932 | 9285 | - | 0.6583 |
| 7.1047 | 9300 | - | 0.6602 |
| 7.1161 | 9315 | - | 0.6616 |
| 7.1276 | 9330 | - | 0.6564 |
| 7.1390 | 9345 | - | 0.6568 |
| 7.1505 | 9360 | - | 0.6620 |
| 7.1620 | 9375 | - | 0.6683 |
| 7.1734 | 9390 | - | 0.6624 |
| 7.1849 | 9405 | - | 0.6546 |
| 7.1963 | 9420 | - | 0.6565 |
| 7.2078 | 9435 | - | 0.6594 |
| 7.2193 | 9450 | - | 0.6620 |
| 7.2307 | 9465 | - | 0.6624 |
| 7.2422 | 9480 | - | 0.6649 |
| 7.2536 | 9495 | - | 0.6649 |
| 7.2574 | 9500 | 0.0091 | - |
| 7.2651 | 9510 | - | 0.6605 |
| 7.2765 | 9525 | - | 0.6595 |
| 7.2880 | 9540 | - | 0.6559 |
| 7.2995 | 9555 | - | 0.6618 |
| 7.3109 | 9570 | - | 0.6637 |
| 7.3224 | 9585 | - | 0.6711 |
| 7.3338 | 9600 | - | 0.6633 |
| 7.3453 | 9615 | - | 0.6584 |
| 7.3568 | 9630 | - | 0.6576 |
| 7.3682 | 9645 | - | 0.6617 |
| 7.3797 | 9660 | - | 0.6641 |
| 7.3911 | 9675 | - | 0.6662 |
| 7.4026 | 9690 | - | 0.6660 |
| 7.4141 | 9705 | - | 0.6673 |
| 7.4255 | 9720 | - | 0.6669 |
| 7.4370 | 9735 | - | 0.6611 |
| 7.4484 | 9750 | - | 0.6574 |
| 7.4599 | 9765 | - | 0.6543 |
| 7.4714 | 9780 | - | 0.6572 |
| 7.4828 | 9795 | - | 0.6594 |
| 7.4943 | 9810 | - | 0.6615 |
| 7.5057 | 9825 | - | 0.6530 |
| 7.5172 | 9840 | - | 0.6547 |
| 7.5286 | 9855 | - | 0.6598 |
| 7.5401 | 9870 | - | 0.6629 |
| 7.5516 | 9885 | - | 0.6623 |
| 7.5630 | 9900 | - | 0.6611 |
| 7.5745 | 9915 | - | 0.6568 |
| 7.5859 | 9930 | - | 0.6580 |
| 7.5974 | 9945 | - | 0.6640 |
| 7.6089 | 9960 | - | 0.6594 |
| 7.6203 | 9975 | - | 0.6601 |
| 7.6318 | 9990 | - | 0.6630 |
| 7.6394 | 10000 | 0.0086 | - |
| 7.6432 | 10005 | - | 0.6676 |
| 7.6547 | 10020 | - | 0.6668 |
| 7.6662 | 10035 | - | 0.6689 |
| 7.6776 | 10050 | - | 0.6674 |
| 7.6891 | 10065 | - | 0.6615 |
| 7.7005 | 10080 | - | 0.6633 |
| 7.7120 | 10095 | - | 0.6588 |
| 7.7235 | 10110 | - | 0.6542 |
| 7.7349 | 10125 | - | 0.6568 |
| 7.7464 | 10140 | - | 0.6573 |
| 7.7578 | 10155 | - | 0.6595 |
| 7.7693 | 10170 | - | 0.6606 |
| 7.7807 | 10185 | - | 0.6590 |
| 7.7922 | 10200 | - | 0.6505 |
| 7.8037 | 10215 | - | 0.6562 |
| 7.8151 | 10230 | - | 0.6666 |
| 7.8266 | 10245 | - | 0.6685 |
| 7.8380 | 10260 | - | 0.6633 |
| 7.8495 | 10275 | - | 0.6645 |
| 7.8610 | 10290 | - | 0.6757 |
| 7.8724 | 10305 | - | 0.6737 |
| 7.8839 | 10320 | - | 0.6679 |
| 7.8953 | 10335 | - | 0.6594 |
| 7.9068 | 10350 | - | 0.6520 |
| 7.9183 | 10365 | - | 0.6543 |
| 7.9297 | 10380 | - | 0.6599 |
| 7.9412 | 10395 | - | 0.6595 |
| 7.9526 | 10410 | - | 0.6575 |
| 7.9641 | 10425 | - | 0.6568 |
| 7.9756 | 10440 | - | 0.6541 |
| 7.9870 | 10455 | - | 0.6527 |
| 7.9985 | 10470 | - | 0.6554 |
| 8.0 | 10472 | - | 0.6562 |
| 8.0099 | 10485 | - | 0.6500 |
| 8.0214 | 10500 | 0.0068 | 0.6567 |
| 8.0328 | 10515 | - | 0.6658 |
| 8.0443 | 10530 | - | 0.6695 |
| 8.0558 | 10545 | - | 0.6662 |
| 8.0672 | 10560 | - | 0.6643 |
| 8.0787 | 10575 | - | 0.6622 |
| 8.0901 | 10590 | - | 0.6582 |
| 8.1016 | 10605 | - | 0.6594 |
| 8.1131 | 10620 | - | 0.6567 |
| 8.1245 | 10635 | - | 0.6588 |
| 8.1360 | 10650 | - | 0.6587 |
| 8.1474 | 10665 | - | 0.6579 |
| 8.1589 | 10680 | - | 0.6604 |
| 8.1704 | 10695 | - | 0.6600 |
| 8.1818 | 10710 | - | 0.6619 |
| 8.1933 | 10725 | - | 0.6609 |
| 8.2047 | 10740 | - | 0.6605 |
| 8.2162 | 10755 | - | 0.6587 |
| 8.2277 | 10770 | - | 0.6593 |
| 8.2391 | 10785 | - | 0.6586 |
| 8.2506 | 10800 | - | 0.6600 |
| 8.2620 | 10815 | - | 0.6581 |
| 8.2735 | 10830 | - | 0.6561 |
| 8.2850 | 10845 | - | 0.6565 |
| 8.2964 | 10860 | - | 0.6583 |
| 8.3079 | 10875 | - | 0.6607 |
| 8.3193 | 10890 | - | 0.6683 |
| 8.3308 | 10905 | - | 0.6683 |
| 8.3422 | 10920 | - | 0.6669 |
| 8.3537 | 10935 | - | 0.6666 |
| 8.3652 | 10950 | - | 0.6689 |
| 8.3766 | 10965 | - | 0.6705 |
| 8.3881 | 10980 | - | 0.6708 |
| 8.3995 | 10995 | - | 0.6686 |
| 8.4034 | 11000 | 0.0087 | - |
| 8.4110 | 11010 | - | 0.6669 |
| 8.4225 | 11025 | - | 0.6676 |
| 8.4339 | 11040 | - | 0.6622 |
| 8.4454 | 11055 | - | 0.6568 |
| 8.4568 | 11070 | - | 0.6537 |
| 8.4683 | 11085 | - | 0.6559 |
| 8.4798 | 11100 | - | 0.6521 |
| 8.4912 | 11115 | - | 0.6528 |
| 8.5027 | 11130 | - | 0.6539 |
| 8.5141 | 11145 | - | 0.6545 |
| 8.5256 | 11160 | - | 0.6569 |
| 8.5371 | 11175 | - | 0.6585 |
| 8.5485 | 11190 | - | 0.6599 |
| 8.5600 | 11205 | - | 0.6596 |
| 8.5714 | 11220 | - | 0.6590 |
| 8.5829 | 11235 | - | 0.6567 |
| 8.5943 | 11250 | - | 0.6507 |
| 8.6058 | 11265 | - | 0.6464 |
| 8.6173 | 11280 | - | 0.6508 |
| 8.6287 | 11295 | - | 0.6569 |
| 8.6402 | 11310 | - | 0.6611 |
| 8.6516 | 11325 | - | 0.6648 |
| 8.6631 | 11340 | - | 0.6578 |
| 8.6746 | 11355 | - | 0.6600 |
| 8.6860 | 11370 | - | 0.6642 |
| 8.6975 | 11385 | - | 0.6664 |
| 8.7089 | 11400 | - | 0.6628 |
| 8.7204 | 11415 | - | 0.6645 |
| 8.7319 | 11430 | - | 0.6586 |
| 8.7433 | 11445 | - | 0.6585 |
| 8.7548 | 11460 | - | 0.6538 |
| 8.7662 | 11475 | - | 0.6520 |
| 8.7777 | 11490 | - | 0.6523 |
| 8.7853 | 11500 | 0.0081 | - |
| 8.7892 | 11505 | - | 0.6480 |
| 8.8006 | 11520 | - | 0.6465 |
| 8.8121 | 11535 | - | 0.6505 |
| 8.8235 | 11550 | - | 0.6533 |
| 8.8350 | 11565 | - | 0.6552 |
| 8.8464 | 11580 | - | 0.6573 |
| 8.8579 | 11595 | - | 0.6596 |
| 8.8694 | 11610 | - | 0.6593 |
| 8.8808 | 11625 | - | 0.6583 |
| 8.8923 | 11640 | - | 0.6537 |
| 8.9037 | 11655 | - | 0.6493 |
| 8.9152 | 11670 | - | 0.6499 |
| 8.9267 | 11685 | - | 0.6507 |
| 8.9381 | 11700 | - | 0.6539 |
| 8.9496 | 11715 | - | 0.6610 |
| 8.9610 | 11730 | - | 0.6593 |
| 8.9725 | 11745 | - | 0.6566 |
| 8.9840 | 11760 | - | 0.6548 |
| 8.9954 | 11775 | - | 0.6571 |
| 9.0 | 11781 | - | 0.6563 |
| 9.0069 | 11790 | - | 0.6548 |
| 9.0183 | 11805 | - | 0.6573 |
| 9.0298 | 11820 | - | 0.6635 |
| 9.0413 | 11835 | - | 0.6617 |
| 9.0527 | 11850 | - | 0.6571 |
| 9.0642 | 11865 | - | 0.6529 |
| 9.0756 | 11880 | - | 0.6555 |
| 9.0871 | 11895 | - | 0.6521 |
| 9.0985 | 11910 | - | 0.6523 |
| 9.1100 | 11925 | - | 0.6593 |
| 9.1215 | 11940 | - | 0.6623 |
| 9.1329 | 11955 | - | 0.6611 |
| 9.1444 | 11970 | - | 0.6587 |
| 9.1558 | 11985 | - | 0.6618 |
| 9.1673 | 12000 | 0.0066 | 0.6591 |
| 9.1788 | 12015 | - | 0.6572 |
| 9.1902 | 12030 | - | 0.6543 |
| 9.2017 | 12045 | - | 0.6576 |
| 9.2131 | 12060 | - | 0.6543 |
| 9.2246 | 12075 | - | 0.6571 |
| 9.2361 | 12090 | - | 0.6517 |
| 9.2475 | 12105 | - | 0.6489 |
| 9.2590 | 12120 | - | 0.6464 |
| 9.2704 | 12135 | - | 0.6501 |
| 9.2819 | 12150 | - | 0.6500 |
| 9.2934 | 12165 | - | 0.6538 |
| 9.3048 | 12180 | - | 0.6577 |
| 9.3163 | 12195 | - | 0.6590 |
| 9.3277 | 12210 | - | 0.6643 |
| 9.3392 | 12225 | - | 0.6622 |
| 9.3506 | 12240 | - | 0.6575 |
| 9.3621 | 12255 | - | 0.6578 |
| 9.3736 | 12270 | - | 0.6646 |
| 9.3850 | 12285 | - | 0.6649 |
| 9.3965 | 12300 | - | 0.6632 |
| 9.4079 | 12315 | - | 0.6626 |
| 9.4194 | 12330 | - | 0.6665 |
| 9.4309 | 12345 | - | 0.6689 |
| 9.4423 | 12360 | - | 0.6618 |
| 9.4538 | 12375 | - | 0.6548 |
| 9.4652 | 12390 | - | 0.6523 |
| 9.4767 | 12405 | - | 0.6578 |
| 9.4882 | 12420 | - | 0.6552 |
| 9.4996 | 12435 | - | 0.6553 |
| 9.5111 | 12450 | - | 0.6516 |
| 9.5225 | 12465 | - | 0.6537 |
| 9.5340 | 12480 | - | 0.6581 |
| 9.5455 | 12495 | - | 0.6575 |
| 9.5493 | 12500 | 0.0073 | - |
| 9.5569 | 12510 | - | 0.6578 |
| 9.5684 | 12525 | - | 0.6559 |
| 9.5798 | 12540 | - | 0.6517 |
| 9.5913 | 12555 | - | 0.6499 |
| 9.6028 | 12570 | - | 0.6497 |
| 9.6142 | 12585 | - | 0.6478 |
| 9.6257 | 12600 | - | 0.6544 |
| 9.6371 | 12615 | - | 0.6586 |
| 9.6486 | 12630 | - | 0.6603 |
| 9.6600 | 12645 | - | 0.6577 |
| 9.6715 | 12660 | - | 0.6561 |
| 9.6830 | 12675 | - | 0.6539 |
| 9.6944 | 12690 | - | 0.6511 |
| 9.7059 | 12705 | - | 0.6489 |
| 9.7173 | 12720 | - | 0.6554 |
| 9.7288 | 12735 | - | 0.6572 |
| 9.7403 | 12750 | - | 0.6559 |
| 9.7517 | 12765 | - | 0.6536 |
| 9.7632 | 12780 | - | 0.6488 |
| 9.7746 | 12795 | - | 0.6537 |
| 9.7861 | 12810 | - | 0.6554 |
| 9.7976 | 12825 | - | 0.6554 |
| 9.8090 | 12840 | - | 0.6523 |
| 9.8205 | 12855 | - | 0.6531 |
| 9.8319 | 12870 | - | 0.6561 |
| 9.8434 | 12885 | - | 0.6557 |
| 9.8549 | 12900 | - | 0.6559 |
| 9.8663 | 12915 | - | 0.6565 |
| 9.8778 | 12930 | - | 0.6606 |
| 9.8892 | 12945 | - | 0.6586 |
| 9.9007 | 12960 | - | 0.6540 |
| 9.9121 | 12975 | - | 0.6524 |
| 9.9236 | 12990 | - | 0.6534 |
| 9.9312 | 13000 | 0.0058 | - |
| 9.9351 | 13005 | - | 0.6532 |
| 9.9465 | 13020 | - | 0.6524 |
| 9.9580 | 13035 | - | 0.6566 |
| 9.9694 | 13050 | - | 0.6578 |
| 9.9809 | 13065 | - | 0.6558 |
| 9.9924 | 13080 | - | 0.6556 |
| 10.0 | 13090 | - | 0.6550 |
| 10.0038 | 13095 | - | 0.6534 |
| 10.0153 | 13110 | - | 0.6534 |
| 10.0267 | 13125 | - | 0.6556 |
| 10.0382 | 13140 | - | 0.6563 |
| 10.0497 | 13155 | - | 0.6549 |
| 10.0611 | 13170 | - | 0.6574 |
| 10.0726 | 13185 | - | 0.6546 |
| 10.0840 | 13200 | - | 0.6546 |
| 10.0955 | 13215 | - | 0.6512 |
| 10.1070 | 13230 | - | 0.6561 |
| 10.1184 | 13245 | - | 0.6593 |
| 10.1299 | 13260 | - | 0.6572 |
| 10.1413 | 13275 | - | 0.6538 |
| 10.1528 | 13290 | - | 0.6525 |
| 10.1642 | 13305 | - | 0.6543 |
| 10.1757 | 13320 | - | 0.6576 |
| 10.1872 | 13335 | - | 0.6598 |
| 10.1986 | 13350 | - | 0.6608 |
| 10.2101 | 13365 | - | 0.6602 |
| 10.2215 | 13380 | - | 0.6623 |
| 10.2330 | 13395 | - | 0.6615 |
| 10.2445 | 13410 | - | 0.6549 |
| 10.2559 | 13425 | - | 0.6549 |
| 10.2674 | 13440 | - | 0.6557 |
| 10.2788 | 13455 | - | 0.6559 |
| 10.2903 | 13470 | - | 0.6557 |
| 10.3018 | 13485 | - | 0.6564 |
| 10.3132 | 13500 | 0.0069 | 0.6590 |
| 10.3247 | 13515 | - | 0.6605 |
| 10.3361 | 13530 | - | 0.6600 |
| 10.3476 | 13545 | - | 0.6600 |
| 10.3591 | 13560 | - | 0.6583 |
| 10.3705 | 13575 | - | 0.6568 |
| 10.3820 | 13590 | - | 0.6577 |
| 10.3934 | 13605 | - | 0.6592 |
| 10.4049 | 13620 | - | 0.6602 |
| 10.4163 | 13635 | - | 0.6592 |
| 10.4278 | 13650 | - | 0.6596 |
| 10.4393 | 13665 | - | 0.6596 |
| 10.4507 | 13680 | - | 0.6592 |
| 10.4622 | 13695 | - | 0.6556 |
| 10.4736 | 13710 | - | 0.6529 |
| 10.4851 | 13725 | - | 0.6509 |
| 10.4966 | 13740 | - | 0.6530 |
| 10.5080 | 13755 | - | 0.6480 |
| 10.5195 | 13770 | - | 0.6462 |
| 10.5309 | 13785 | - | 0.6487 |
| 10.5424 | 13800 | - | 0.6536 |
| 10.5539 | 13815 | - | 0.6595 |
| 10.5653 | 13830 | - | 0.6597 |
| 10.5768 | 13845 | - | 0.6563 |
| 10.5882 | 13860 | - | 0.6547 |
| 10.5997 | 13875 | - | 0.6511 |
| 10.6112 | 13890 | - | 0.6501 |
| 10.6226 | 13905 | - | 0.6516 |
| 10.6341 | 13920 | - | 0.6531 |
| 10.6455 | 13935 | - | 0.6559 |
| 10.6570 | 13950 | - | 0.6541 |
| 10.6684 | 13965 | - | 0.6553 |
| 10.6799 | 13980 | - | 0.6608 |
| 10.6914 | 13995 | - | 0.6593 |
| 10.6952 | 14000 | 0.0066 | - |
| 10.7028 | 14010 | - | 0.6547 |
| 10.7143 | 14025 | - | 0.6512 |
| 10.7257 | 14040 | - | 0.6505 |
| 10.7372 | 14055 | - | 0.6547 |
| 10.7487 | 14070 | - | 0.6572 |
| 10.7601 | 14085 | - | 0.6564 |
| 10.7716 | 14100 | - | 0.6552 |
| 10.7830 | 14115 | - | 0.6528 |
| 10.7945 | 14130 | - | 0.6505 |
| 10.8060 | 14145 | - | 0.6485 |
| 10.8174 | 14160 | - | 0.6509 |
| 10.8289 | 14175 | - | 0.6525 |
| 10.8403 | 14190 | - | 0.6533 |
| 10.8518 | 14205 | - | 0.6542 |
| 10.8633 | 14220 | - | 0.6572 |
| 10.8747 | 14235 | - | 0.6584 |
| 10.8862 | 14250 | - | 0.6582 |
| 10.8976 | 14265 | - | 0.6566 |
| 10.9091 | 14280 | - | 0.6563 |
| 10.9206 | 14295 | - | 0.6540 |
| 10.9320 | 14310 | - | 0.6537 |
| 10.9435 | 14325 | - | 0.6527 |
| 10.9549 | 14340 | - | 0.6563 |
| 10.9664 | 14355 | - | 0.6560 |
| 10.9778 | 14370 | - | 0.6543 |
| 10.9893 | 14385 | - | 0.6536 |
| 11.0 | 14399 | - | 0.6542 |
| 11.0008 | 14400 | - | 0.6541 |
| 11.0122 | 14415 | - | 0.6532 |
| 11.0237 | 14430 | - | 0.6557 |
| 11.0351 | 14445 | - | 0.6565 |
| 11.0466 | 14460 | - | 0.6611 |
| 11.0581 | 14475 | - | 0.6599 |
| 11.0695 | 14490 | - | 0.6587 |
| 11.0772 | 14500 | 0.0049 | - |
| 11.0810 | 14505 | - | 0.6595 |
| 11.0924 | 14520 | - | 0.6561 |
| 11.1039 | 14535 | - | 0.6548 |
| 11.1154 | 14550 | - | 0.6558 |
| 11.1268 | 14565 | - | 0.6581 |
| 11.1383 | 14580 | - | 0.6553 |
| 11.1497 | 14595 | - | 0.6568 |
| 11.1612 | 14610 | - | 0.6576 |
| 11.1727 | 14625 | - | 0.6547 |
| 11.1841 | 14640 | - | 0.6513 |
| 11.1956 | 14655 | - | 0.6516 |
| 11.2070 | 14670 | - | 0.6547 |
| 11.2185 | 14685 | - | 0.6561 |
| 11.2299 | 14700 | - | 0.6568 |
| 11.2414 | 14715 | - | 0.6539 |
| 11.2529 | 14730 | - | 0.6524 |
| 11.2643 | 14745 | - | 0.6509 |
| 11.2758 | 14760 | - | 0.6536 |
| 11.2872 | 14775 | - | 0.6560 |
| 11.2987 | 14790 | - | 0.6560 |
| 11.3102 | 14805 | - | 0.6539 |
| 11.3216 | 14820 | - | 0.6560 |
| 11.3331 | 14835 | - | 0.6577 |
| 11.3445 | 14850 | - | 0.6569 |
| 11.3560 | 14865 | - | 0.6552 |
| 11.3675 | 14880 | - | 0.6533 |
| 11.3789 | 14895 | - | 0.6546 |
| 11.3904 | 14910 | - | 0.6543 |
| 11.4018 | 14925 | - | 0.6550 |
| 11.4133 | 14940 | - | 0.6576 |
| 11.4248 | 14955 | - | 0.6581 |
| 11.4362 | 14970 | - | 0.6592 |
| 11.4477 | 14985 | - | 0.6582 |
| 11.4591 | 15000 | 0.0068 | 0.6575 |
| 11.4706 | 15015 | - | 0.6580 |
| 11.4820 | 15030 | - | 0.6520 |
| 11.4935 | 15045 | - | 0.6545 |
| 11.5050 | 15060 | - | 0.6533 |
| 11.5164 | 15075 | - | 0.6490 |
| 11.5279 | 15090 | - | 0.6493 |
| 11.5393 | 15105 | - | 0.6492 |
| 11.5508 | 15120 | - | 0.6511 |
| 11.5623 | 15135 | - | 0.6522 |
| 11.5737 | 15150 | - | 0.6531 |
| 11.5852 | 15165 | - | 0.6538 |
| 11.5966 | 15180 | - | 0.6524 |
| 11.6081 | 15195 | - | 0.6512 |
| 11.6196 | 15210 | - | 0.6518 |
| 11.6310 | 15225 | - | 0.6535 |
| 11.6425 | 15240 | - | 0.6546 |
| 11.6539 | 15255 | - | 0.6539 |
| 11.6654 | 15270 | - | 0.6519 |
| 11.6769 | 15285 | - | 0.6513 |
| 11.6883 | 15300 | - | 0.6543 |
| 11.6998 | 15315 | - | 0.6527 |
| 11.7112 | 15330 | - | 0.6537 |
| 11.7227 | 15345 | - | 0.6531 |
| 11.7341 | 15360 | - | 0.6439 |
| 11.7456 | 15375 | - | 0.6435 |
| 11.7571 | 15390 | - | 0.6501 |
| 11.7685 | 15405 | - | 0.6510 |
| 11.7800 | 15420 | - | 0.6502 |
| 11.7914 | 15435 | - | 0.6497 |
| 11.8029 | 15450 | - | 0.6505 |
| 11.8144 | 15465 | - | 0.6516 |
| 11.8258 | 15480 | - | 0.6534 |
| 11.8373 | 15495 | - | 0.6554 |
| 11.8411 | 15500 | 0.0059 | - |
| 11.8487 | 15510 | - | 0.6570 |
| 11.8602 | 15525 | - | 0.6576 |
| 11.8717 | 15540 | - | 0.6576 |
| 11.8831 | 15555 | - | 0.6573 |
| 11.8946 | 15570 | - | 0.6555 |
| 11.9060 | 15585 | - | 0.6543 |
| 11.9175 | 15600 | - | 0.6525 |
| 11.9290 | 15615 | - | 0.6516 |
| 11.9404 | 15630 | - | 0.6510 |
| 11.9519 | 15645 | - | 0.6527 |
| 11.9633 | 15660 | - | 0.6535 |
| 11.9748 | 15675 | - | 0.6567 |
| 11.9862 | 15690 | - | 0.6604 |
| 11.9977 | 15705 | - | 0.6592 |
| 12.0 | 15708 | - | 0.6589 |
| 12.0092 | 15720 | - | 0.6571 |
| 12.0206 | 15735 | - | 0.6569 |
| 12.0321 | 15750 | - | 0.6577 |
| 12.0435 | 15765 | - | 0.6593 |
| 12.0550 | 15780 | - | 0.6582 |
| 12.0665 | 15795 | - | 0.6577 |
| 12.0779 | 15810 | - | 0.6581 |
| 12.0894 | 15825 | - | 0.6586 |
| 12.1008 | 15840 | - | 0.6572 |
| 12.1123 | 15855 | - | 0.6570 |
| 12.1238 | 15870 | - | 0.6564 |
| 12.1352 | 15885 | - | 0.6573 |
| 12.1467 | 15900 | - | 0.6583 |
| 12.1581 | 15915 | - | 0.6599 |
| 12.1696 | 15930 | - | 0.6591 |
| 12.1811 | 15945 | - | 0.6564 |
| 12.1925 | 15960 | - | 0.6546 |
| 12.2040 | 15975 | - | 0.6558 |
| 12.2154 | 15990 | - | 0.6590 |
| 12.2231 | 16000 | 0.0055 | - |
| 12.2269 | 16005 | - | 0.6586 |
| 12.2383 | 16020 | - | 0.6577 |
| 12.2498 | 16035 | - | 0.6582 |
| 12.2613 | 16050 | - | 0.6572 |
| 12.2727 | 16065 | - | 0.6565 |
| 12.2842 | 16080 | - | 0.6568 |
| 12.2956 | 16095 | - | 0.6550 |
| 12.3071 | 16110 | - | 0.6566 |
| 12.3186 | 16125 | - | 0.6569 |
| 12.3300 | 16140 | - | 0.6580 |
| 12.3415 | 16155 | - | 0.6589 |
| 12.3529 | 16170 | - | 0.6604 |
| 12.3644 | 16185 | - | 0.6602 |
| 12.3759 | 16200 | - | 0.6605 |
| 12.3873 | 16215 | - | 0.6598 |
| 12.3988 | 16230 | - | 0.6583 |
| 12.4102 | 16245 | - | 0.6582 |
| 12.4217 | 16260 | - | 0.6574 |
| 12.4332 | 16275 | - | 0.6589 |
| 12.4446 | 16290 | - | 0.6575 |
| 12.4561 | 16305 | - | 0.6578 |
| 12.4675 | 16320 | - | 0.6576 |
| 12.4790 | 16335 | - | 0.6565 |
| 12.4905 | 16350 | - | 0.6551 |
| 12.5019 | 16365 | - | 0.6526 |
| 12.5134 | 16380 | - | 0.6536 |
| 12.5248 | 16395 | - | 0.6540 |
| 12.5363 | 16410 | - | 0.6545 |
| 12.5477 | 16425 | - | 0.6548 |
| 12.5592 | 16440 | - | 0.6563 |
| 12.5707 | 16455 | - | 0.6552 |
| 12.5821 | 16470 | - | 0.6561 |
| 12.5936 | 16485 | - | 0.6567 |
| 12.6050 | 16500 | 0.0058 | 0.6550 |
| 12.6165 | 16515 | - | 0.6551 |
| 12.6280 | 16530 | - | 0.6560 |
| 12.6394 | 16545 | - | 0.6573 |
| 12.6509 | 16560 | - | 0.6578 |
| 12.6623 | 16575 | - | 0.6568 |
| 12.6738 | 16590 | - | 0.6551 |
| 12.6853 | 16605 | - | 0.6539 |
| 12.6967 | 16620 | - | 0.6532 |
| 12.7082 | 16635 | - | 0.6531 |
| 12.7196 | 16650 | - | 0.6526 |
| 12.7311 | 16665 | - | 0.6500 |
| 12.7426 | 16680 | - | 0.6503 |
| 12.7540 | 16695 | - | 0.6524 |
| 12.7655 | 16710 | - | 0.6539 |
| 12.7769 | 16725 | - | 0.6535 |
| 12.7884 | 16740 | - | 0.6539 |
| 12.7998 | 16755 | - | 0.6534 |
| 12.8113 | 16770 | - | 0.6526 |
| 12.8228 | 16785 | - | 0.6540 |
| 12.8342 | 16800 | - | 0.6537 |
| 12.8457 | 16815 | - | 0.6549 |
| 12.8571 | 16830 | - | 0.6562 |
| 12.8686 | 16845 | - | 0.6560 |
| 12.8801 | 16860 | - | 0.6575 |
| 12.8915 | 16875 | - | 0.6581 |
| 12.9030 | 16890 | - | 0.6564 |
| 12.9144 | 16905 | - | 0.6547 |
| 12.9259 | 16920 | - | 0.6553 |
| 12.9374 | 16935 | - | 0.6550 |
| 12.9488 | 16950 | - | 0.6545 |
| 12.9603 | 16965 | - | 0.6530 |
| 12.9717 | 16980 | - | 0.6535 |
| 12.9832 | 16995 | - | 0.6527 |
| 12.9870 | 17000 | 0.0043 | - |
| 12.9947 | 17010 | - | 0.6529 |
| 13.0 | 17017 | - | 0.6531 |
| 13.0061 | 17025 | - | 0.6536 |
| 13.0176 | 17040 | - | 0.6536 |
| 13.0290 | 17055 | - | 0.6553 |
| 13.0405 | 17070 | - | 0.6565 |
| 13.0519 | 17085 | - | 0.6558 |
| 13.0634 | 17100 | - | 0.6563 |
| 13.0749 | 17115 | - | 0.6550 |
| 13.0863 | 17130 | - | 0.6544 |
| 13.0978 | 17145 | - | 0.6530 |
| 13.1092 | 17160 | - | 0.6527 |
| 13.1207 | 17175 | - | 0.6563 |
| 13.1322 | 17190 | - | 0.6571 |
| 13.1436 | 17205 | - | 0.6573 |
| 13.1551 | 17220 | - | 0.6556 |
| 13.1665 | 17235 | - | 0.6541 |
| 13.1780 | 17250 | - | 0.6536 |
| 13.1895 | 17265 | - | 0.6533 |
| 13.2009 | 17280 | - | 0.6533 |
| 13.2124 | 17295 | - | 0.6531 |
| 13.2238 | 17310 | - | 0.6542 |
| 13.2353 | 17325 | - | 0.6539 |
| 13.2468 | 17340 | - | 0.6543 |
| 13.2582 | 17355 | - | 0.6547 |
| 13.2697 | 17370 | - | 0.6563 |
| 13.2811 | 17385 | - | 0.6566 |
| 13.2926 | 17400 | - | 0.6553 |
| 13.3040 | 17415 | - | 0.6541 |
| 13.3155 | 17430 | - | 0.6542 |
| 13.3270 | 17445 | - | 0.6558 |
| 13.3384 | 17460 | - | 0.6552 |
| 13.3499 | 17475 | - | 0.6554 |
| 13.3613 | 17490 | - | 0.6548 |
| 13.3690 | 17500 | 0.0058 | - |
| 13.3728 | 17505 | - | 0.6543 |
| 13.3843 | 17520 | - | 0.6551 |
| 13.3957 | 17535 | - | 0.6549 |
| 13.4072 | 17550 | - | 0.6550 |
| 13.4186 | 17565 | - | 0.6550 |
| 13.4301 | 17580 | - | 0.6567 |
| 13.4416 | 17595 | - | 0.6583 |
| 13.4530 | 17610 | - | 0.6577 |
| 13.4645 | 17625 | - | 0.6577 |
| 13.4759 | 17640 | - | 0.6577 |
| 13.4874 | 17655 | - | 0.6585 |
| 13.4989 | 17670 | - | 0.6570 |
| 13.5103 | 17685 | - | 0.6546 |
| 13.5218 | 17700 | - | 0.6541 |
| 13.5332 | 17715 | - | 0.6538 |
| 13.5447 | 17730 | - | 0.6553 |
| 13.5561 | 17745 | - | 0.6558 |
| 13.5676 | 17760 | - | 0.6555 |
| 13.5791 | 17775 | - | 0.6548 |
| 13.5905 | 17790 | - | 0.6547 |
| 13.6020 | 17805 | - | 0.6539 |
| 13.6134 | 17820 | - | 0.6539 |
| 13.6249 | 17835 | - | 0.6545 |
| 13.6364 | 17850 | - | 0.6544 |
| 13.6478 | 17865 | - | 0.6547 |
| 13.6593 | 17880 | - | 0.6534 |
| 13.6707 | 17895 | - | 0.6534 |
| 13.6822 | 17910 | - | 0.6527 |
| 13.6937 | 17925 | - | 0.6532 |
| 13.7051 | 17940 | - | 0.6544 |
| 13.7166 | 17955 | - | 0.6531 |
| 13.7280 | 17970 | - | 0.6531 |
| 13.7395 | 17985 | - | 0.6519 |
| 13.7510 | 18000 | 0.0048 | 0.6521 |
| 13.7624 | 18015 | - | 0.6493 |
| 13.7739 | 18030 | - | 0.6472 |
| 13.7853 | 18045 | - | 0.6481 |
| 13.7968 | 18060 | - | 0.6485 |
| 13.8083 | 18075 | - | 0.6476 |
| 13.8197 | 18090 | - | 0.6480 |
| 13.8312 | 18105 | - | 0.6492 |
| 13.8426 | 18120 | - | 0.6510 |
| 13.8541 | 18135 | - | 0.6514 |
| 13.8655 | 18150 | - | 0.6518 |
| 13.8770 | 18165 | - | 0.6520 |
| 13.8885 | 18180 | - | 0.6507 |
| 13.8999 | 18195 | - | 0.6506 |
| 13.9114 | 18210 | - | 0.6504 |
| 13.9228 | 18225 | - | 0.6500 |
| 13.9343 | 18240 | - | 0.6503 |
| 13.9458 | 18255 | - | 0.6496 |
| 13.9572 | 18270 | - | 0.6503 |
| 13.9687 | 18285 | - | 0.6492 |
| 13.9801 | 18300 | - | 0.6495 |
| 13.9916 | 18315 | - | 0.6504 |
| 14.0 | 18326 | - | 0.6503 |
| 14.0031 | 18330 | - | 0.6498 |
| 14.0145 | 18345 | - | 0.6499 |
| 14.0260 | 18360 | - | 0.6500 |
| 14.0374 | 18375 | - | 0.6507 |
| 14.0489 | 18390 | - | 0.6513 |
| 14.0604 | 18405 | - | 0.6511 |
| 14.0718 | 18420 | - | 0.6514 |
| 14.0833 | 18435 | - | 0.6519 |
| 14.0947 | 18450 | - | 0.6516 |
| 14.1062 | 18465 | - | 0.6522 |
| 14.1176 | 18480 | - | 0.6527 |
| 14.1291 | 18495 | - | 0.6524 |
| 14.1329 | 18500 | 0.0045 | - |
| 14.1406 | 18510 | - | 0.6527 |
| 14.1520 | 18525 | - | 0.6532 |
| 14.1635 | 18540 | - | 0.6530 |
| 14.1749 | 18555 | - | 0.6531 |
| 14.1864 | 18570 | - | 0.6531 |
| 14.1979 | 18585 | - | 0.6527 |
| 14.2093 | 18600 | - | 0.6535 |
| 14.2208 | 18615 | - | 0.6536 |
| 14.2322 | 18630 | - | 0.6531 |
| 14.2437 | 18645 | - | 0.6527 |
| 14.2552 | 18660 | - | 0.6532 |
| 14.2666 | 18675 | - | 0.6535 |
| 14.2781 | 18690 | - | 0.6535 |
| 14.2895 | 18705 | - | 0.6535 |
| 14.3010 | 18720 | - | 0.6535 |
| 14.3125 | 18735 | - | 0.6537 |
| 14.3239 | 18750 | - | 0.6536 |
| 14.3354 | 18765 | - | 0.6534 |
| 14.3468 | 18780 | - | 0.6547 |
| 14.3583 | 18795 | - | 0.6541 |
| 14.3697 | 18810 | - | 0.6539 |
| 14.3812 | 18825 | - | 0.6548 |
| 14.3927 | 18840 | - | 0.6547 |
| 14.4041 | 18855 | - | 0.6548 |
| 14.4156 | 18870 | - | 0.6546 |
| 14.4270 | 18885 | - | 0.6544 |
| 14.4385 | 18900 | - | 0.6543 |
| 14.4500 | 18915 | - | 0.6541 |
| 14.4614 | 18930 | - | 0.6537 |
| 14.4729 | 18945 | - | 0.6536 |
| 14.4843 | 18960 | - | 0.6533 |
| 14.4958 | 18975 | - | 0.6531 |
| 14.5073 | 18990 | - | 0.6517 |
| 14.5149 | 19000 | 0.0055 | - |
| 14.5187 | 19005 | - | 0.6517 |
| 14.5302 | 19020 | - | 0.6521 |
| 14.5416 | 19035 | - | 0.6522 |
| 14.5531 | 19050 | - | 0.6528 |
| 14.5646 | 19065 | - | 0.6524 |
| 14.5760 | 19080 | - | 0.6529 |
| 14.5875 | 19095 | - | 0.6529 |
| 14.5989 | 19110 | - | 0.6525 |
| 14.6104 | 19125 | - | 0.6523 |
| 14.6218 | 19140 | - | 0.6524 |
| 14.6333 | 19155 | - | 0.6528 |
| 14.6448 | 19170 | - | 0.6526 |
| 14.6562 | 19185 | - | 0.6530 |
| 14.6677 | 19200 | - | 0.6532 |
| 14.6791 | 19215 | - | 0.6532 |
| 14.6906 | 19230 | - | 0.6532 |
| 14.7021 | 19245 | - | 0.6533 |
| 14.7135 | 19260 | - | 0.6526 |
| 14.7250 | 19275 | - | 0.6522 |
| 14.7364 | 19290 | - | 0.6520 |
| 14.7479 | 19305 | - | 0.6522 |
| 14.7594 | 19320 | - | 0.6522 |
| 14.7708 | 19335 | - | 0.6522 |
| 14.7823 | 19350 | - | 0.6521 |
| 14.7937 | 19365 | - | 0.6521 |
| 14.8052 | 19380 | - | 0.6521 |
| 14.8167 | 19395 | - | 0.6521 |
| 14.8281 | 19410 | - | 0.6522 |
| 14.8396 | 19425 | - | 0.6523 |
| 14.8510 | 19440 | - | 0.6523 |
| 14.8625 | 19455 | - | 0.6523 |
| 14.8739 | 19470 | - | 0.6521 |
| 14.8854 | 19485 | - | 0.6522 |
| 14.8969 | 19500 | 0.0039 | 0.6522 |
| 14.9083 | 19515 | - | 0.6521 |
| 14.9198 | 19530 | - | 0.6523 |
| 14.9312 | 19545 | - | 0.6522 |
| 14.9427 | 19560 | - | 0.6521 |
| 14.9542 | 19575 | - | 0.6520 |
| 14.9656 | 19590 | - | 0.6521 |
| 14.9771 | 19605 | - | 0.6520 |
| 14.9885 | 19620 | - | 0.6520 |
| 15.0 | 19635 | - | 0.6520 |
</details>
### Framework Versions
- Python: 3.11.0rc1
- Sentence Transformers: 3.0.1
- Transformers: 4.41.1
- PyTorch: 2.2.2+cu121
- Accelerate: 0.30.1
- Datasets: 2.20.0
- Tokenizers: 0.19.1
## Citation
### BibTeX
#### Sentence Transformers
```bibtex
@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",
}
```
#### MultipleNegativesRankingLoss
```bibtex
@misc{henderson2017efficient,
title={Efficient Natural Language Response Suggestion for Smart Reply},
author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
year={2017},
eprint={1705.00652},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
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