bobox/DeBERTa-small-ST-v1-test-step3

SentenceTransformer based on bobox/DeBERTa-small-ST-v1-test-step2

This is a sentence-transformers model finetuned from bobox/DeBERTa-small-ST-v1-test-step2 on the negation-triplets, vitaminc-pairs, scitail-pairs-qa, scitail-pairs-pos, xsum-pairs, sciq_pairs, qasc_pairs, openbookqa_pairs, msmarco_pairs, nq_pairs, trivia_pairs, gooaq_pairs and paws-pos datasets. It maps sentences & paragraphs to a 768-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: bobox/DeBERTa-small-ST-v1-test-step2
• Maximum Sequence Length: 512 tokens
• Output Dimensionality: 768 tokens
• Similarity Function: Cosine Similarity
• Training Datasets:
  • negation-triplets
  • vitaminc-pairs
  • scitail-pairs-qa
  • scitail-pairs-pos
  • xsum-pairs
  • sciq_pairs
  • qasc_pairs
  • openbookqa_pairs
  • msmarco_pairs
  • nq_pairs
  • trivia_pairs
  • gooaq_pairs
  • paws-pos
• Language: en

Model Sources

• Documentation: Sentence Transformers Documentation
• Repository: Sentence Transformers on GitHub
• Hugging Face: Sentence Transformers on Hugging Face

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: DebertaV2Model 
  (1): Pooling({'word_embedding_dimension': 768, '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})
)

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("bobox/DeBERTa-small-ST-v1-test-step3")
# Run inference
sentences = [
    'where was the first hudson bay company post',
    "Hudson's Bay Company Hudson's Bay Company's first inland trading post was established by Samuel Hearne in 1774 in Cumberland House, Saskatchewan.[38][39]",
    'Steven Ogg Steven Ogg is a Canadian actor.[1] He is best known for his roles as Trevor Philips in the 2013 video game Grand Theft Auto V and Simon in The Walking Dead.[2] He has also appeared in television series such as Better Call Saul, Law & Order, Person of Interest, Broad City, and Westworld.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]

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

Evaluation

Metrics

Semantic Similarity

• Dataset: sts-test
• Evaluated with EmbeddingSimilarityEvaluator

Metric	Value
pearson_cosine	0.8861
spearman_cosine	0.9077
pearson_manhattan	0.9087
spearman_manhattan	0.9043
pearson_euclidean	0.908
spearman_euclidean	0.904
pearson_dot	0.8769
spearman_dot	0.8794
pearson_max	0.9087
spearman_max	0.9077

Binary Classification

• Dataset: VitaminC
• Evaluated with BinaryClassificationEvaluator

Metric	Value
cosine_accuracy	0.5547
cosine_accuracy_threshold	0.8242
cosine_f1	0.6685
cosine_f1_threshold	0.4269
cosine_precision	0.5083
cosine_recall	0.9761
cosine_ap	0.5537
dot_accuracy	0.5488
dot_accuracy_threshold	320.1266
dot_f1	0.6712
dot_f1_threshold	147.4331
dot_precision	0.5082
dot_recall	0.988
dot_ap	0.5328
manhattan_accuracy	0.5566
manhattan_accuracy_threshold	317.9842
manhattan_f1	0.6649
manhattan_f1_threshold	510.4794
manhattan_precision	0.498
manhattan_recall	1.0
manhattan_ap	0.5558
euclidean_accuracy	0.5625
euclidean_accuracy_threshold	15.207
euclidean_f1	0.6658
euclidean_f1_threshold	22.7782
euclidean_precision	0.5
euclidean_recall	0.996
euclidean_ap	0.5563
max_accuracy	0.5625
max_accuracy_threshold	320.1266
max_f1	0.6712
max_f1_threshold	510.4794
max_precision	0.5083
max_recall	1.0
max_ap	0.5563

Training Details

Training Datasets

negation-triplets

• Dataset: negation-triplets
• Size: 35,750 training samples
• Columns: anchor, entailment, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	entailment	negative
  type	string	string	string
  details	min: 4 tokens mean: 21.52 tokens max: 101 tokens	min: 5 tokens mean: 14.34 tokens max: 47 tokens	min: 5 tokens mean: 14.62 tokens max: 44 tokens

• Samples:

  anchor	entailment	negative
  Brunette woman in a white bikini pouring a drink into a man's cup.	A woman is serving a beverage to a man.	A woman is not serving a beverage to a man.
  People under a tent at a reception.	People are outside.	People are inside.
  A man is smoking at sunset.	The time in the picture is probably somewhere between 3PM and 9PM.	The time in the picture is probably not somewhere between 3PM and 9PM.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

vitaminc-pairs

• Dataset: vitaminc-pairs at be6febb
• Size: 34,375 training samples
• Columns: claim and evidence
• Approximate statistics based on the first 1000 samples:

  	claim	evidence
  type	string	string
  details	min: 7 tokens mean: 18.14 tokens max: 54 tokens	min: 6 tokens mean: 37.45 tokens max: 192 tokens

• Samples:

  claim	evidence
  Dora and the Lost City of Gold grossed more than $ 58 million in North America , more than $ 40 million in other territories , and more than $ 98 million globally .	, Dora and the Lost City of Gold has grossed $ 58.4 million in the United States and Canada , and $ 40.4 million in other territories , for a worldwide total of $ 98.8 million , against a production budget of $ 49 million .
  After Juan Antonio and Vicky Cristina have sex , they go to bed .	Afterwards , Juan Antonio lets her know he thinks she 's beautiful , and they make love , and eventually go to bed .
  Tove Lo 's single `` Disco Tits '' reached number 55 in Sweden .	Its lead single , '' Disco Tits '' '' , peaked at number 55 in Sweden. ''

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

scitail-pairs-qa

• Dataset: scitail-pairs-qa at 0cc4353
• Size: 14,237 training samples
• Columns: sentence2 and question
• Approximate statistics based on the first 1000 samples:

  	sentence2	question
  type	string	string
  details	min: 7 tokens mean: 16.29 tokens max: 41 tokens	min: 8 tokens mean: 15.21 tokens max: 35 tokens

• Samples:

  sentence2	question
  When an atom gains or loses an electron it becames a(n) ion.	When an atom gains or loses an electron it becames an?
  The stratosphere is the layer above the troposphere.	What is the layer above the troposphere?
  Solar and wind are still expensive compared to fossil fuels.	Solar and wind are still expensive compared to what?

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

scitail-pairs-pos

• Dataset: scitail-pairs-pos at 0cc4353
• Size: 8,600 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 7 tokens mean: 23.52 tokens max: 71 tokens	min: 7 tokens mean: 15.54 tokens max: 39 tokens

• Samples:

  sentence1	sentence2
  Ozone is a molecule formed of THREE oxygen atoms.	Three oxygen ions make up an ozone molecule.
  Animals live by eating the energy produced by plants (herbivores), or live by eating animals that eat plants (carnivores) Let's take the human being (a polyhagous animal) as an example and ponder upon it.	Herbivores is the term for animals that eat producers to get energy.
  Fertilization triggers Meiosis II, and then the sperm nucleus unites with the resulting egg nucleus.	When a sperm penetrates the egg, it triggers the egg to complete meiosis.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

xsum-pairs

• Dataset: xsum-pairs
• Size: 38,500 training samples
• Columns: document and summary
• Approximate statistics based on the first 1000 samples:

  	document	summary
  type	string	string
  details	min: 40 tokens mean: 223.77 tokens max: 443 tokens	min: 13 tokens mean: 25.9 tokens max: 45 tokens

• Samples:

  document	summary
  William Heath, 12, from Earls Barton, has so far disguised himself as Ali G, Hercule Poirot and Groucho Marx as part of his Movember campaign. He is raising money in memory of his grandfather, who died from cancer in February. William came up with the idea as he cannot grow a moustache himself. His granddad, Robin Wickham, died from pancreatic, testicular and prostate cancer, and William is now asking people to donate to The Movember Foundation, via his own "Mo Space" page. William has already dressed as seven famous moustachioed men, including Biggles, Keith Lemon and Magnum PI. His costumes were sourced from a combination of a local fancy dress shop and items around the home. "My granddad and I were very close," he said. "He used to come on holiday with us and was always having fun." His mum Clare said William had wanted to do something that would help, but was also fun. She said: "We needed to fill 30 days. When you try to think of 30 people with moustaches it is harder than you think. "The overriding thing is that it has been fun, but it has serious implications." William said his favourite character so far had been Ali G, but he had struggled to create a successful Ned Flanders outfit. He said: "I tried to paint my face yellow, but it didn't really work."	A schoolboy has decided to raise money for a men's health charity by dressing up as a different moustachioed famous face every day for a month.
  Media playback is not supported on this device The Daily Mail claimed a £10m offer was made to owner Owen Oyston despite him stating the club was not for sale at a recent public meeting with fans. Oyston was heckled throughout over the way the club is being run. "The owners of the club have received no approach whatsoever, from any investor or third party," said a statement. The Blackpool Supporters Trust launched a £16m bid to buy the club July 2015 but Oyston, whose son Karl is chairman, eventually ended those takeover talks. The Seasiders, who will play in the fourth tier for the first time since 2000-01 this season, have also announced the signing of midfielder Danny Pugh. The 33-year-old former Manchester United trainee joins on a free transfer after his release by Bury and has signed a one-year deal, with further 12-month option. "He brings a wealth of experience to the team and will be a strong, vocal presence in the middle of the park," said boss Gary Bowyer.	League Two club Blackpool have denied claims they were subject of a new takeover offer.
  The Cochrane Collaboration carried out a systematic review of eight exercise trials involving more than 300 patients living at home or in care. Exercise did little for patients' moods, the research concluded. But it did help them carry out daily activities such as rising from a chair, and boosted their cognitive skills. Whether these benefits improve quality of life is still unclear, but the study authors say the findings are reason for optimism. Dementia affects some 800,000 people in the UK. And the number of people with the condition is steadily increasing because people are living longer. It is estimated that by 2021, the number of people with dementia in the UK will have increased to around one million. With no cure, ways to improve the lives of those living with the condition are vital. Researcher Dorothy Forbes, of the University of Alberta, and colleagues who carried out the Cochrane review, said: "Clearly, further research is needed to be able to develop best practice guidelines to enable healthcare providers to advise people with dementia living at home or in institutions. "We also need to understand what level and intensity of exercise is beneficial for someone with dementia." Dr Laura Phipps of Alzheimer's Research UK said: "We do know that exercise is an important part of keeping healthy, and though we can't say that exercise will prevent dementia, evidence does suggest it can help reduce the risk of the condition as part of a healthy lifestyle."	People with dementia who exercise improve their thinking abilities and everyday life, a body of medical research concludes.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

sciq_pairs

• Dataset: sciq_pairs at 2c94ad3
• Size: 11,095 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 7 tokens mean: 16.92 tokens max: 54 tokens	min: 2 tokens mean: 85.56 tokens max: 512 tokens

• Samples:

  sentence1	sentence2
  The bright color of poison dart frogs serves what purpose?	Poison dart frogs have toxins in their skin. Their bright colors warn potential predators not to take a bite!.
  What term describes motion that repeats itself at regular time intervals, such as exhibited by a vibrating guitar string?	When you pluck a guitar string, the resulting sound has a steady tone and lasts a long time. Each successive vibration of the string takes the same time as the previous one. We define periodic motion to be a motion that repeats itself at regular time intervals, such as exhibited by the guitar string or by an object on a spring moving up and down. The time to complete one oscillation remains constant and is called the period T . Its units are usually seconds, but may be any convenient unit of time. The word period refers to the time for some event whether repetitive or not; but we shall be primarily interested in periodic motion, which is by definition repetitive. A concept closely related to period is the frequency of an event. For example, if you get a paycheck twice a month, the frequency of payment is two per month and the period between checks is half a month. Frequency f is defined to be the number of events per unit time. For periodic motion, frequency is the number of oscillations per unit time. The relationship between frequency and period is.
  What do stored fats provide our body with for later use?	Fats are one type of lipid. Stored fat gives your body energy to use for later. It’s like having money in a savings account: it’s there in case you need it. Stored fat also cushions and protects internal organs. In addition, it insulates the body. It helps keep you warm in cold weather.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

qasc_pairs

• Dataset: qasc_pairs at a34ba20
• Size: 7,727 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 4 tokens mean: 11.4 tokens max: 22 tokens	min: 16 tokens mean: 34.47 tokens max: 67 tokens

• Samples:

  sentence1	sentence2
  What do geologists use to determine the age of rock layers?	radioactive dating is used to determine the age of fossils. Geologists use fossils to determine the age of the rock layer that it was found in.. Geologists use radioactive dating to determine the age of rock layers.
  Air pollution can cause a decrease in what?	air pollution can cause the pH of soil to decrease. Research has shown that soil pH less than 6.0 can decrease crop yields.. Air pollution can cause a decrease in crop yields.
  What organism uses their sense of smell to find a mate?	Most salamanders use their sense of smell to find a mate.. Salamanders are a type of amphibian.. Some amphibians use their sense of smell to find a mate.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

openbookqa_pairs

• Dataset: openbookqa_pairs
• Size: 4,522 training samples
• Columns: question and fact
• Approximate statistics based on the first 1000 samples:

  	question	fact
  type	string	string
  details	min: 3 tokens mean: 13.8 tokens max: 78 tokens	min: 4 tokens mean: 11.5 tokens max: 30 tokens

• Samples:

  question	fact
  What is animal competition?	if two animals eat the same prey then those animals compete for that pey
  If you wanted to make a metal bed frame, where would you start?	alloys are made of two or more metals
  Places lacking warmth have few what	cold environments contain few organisms

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

msmarco_pairs

• Dataset: msmarco_pairs at 28ff31e
• Size: 30,250 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 4 tokens mean: 8.65 tokens max: 31 tokens	min: 17 tokens mean: 76.38 tokens max: 207 tokens

• Samples:

  sentence1	sentence2
  propria definition	The lamina propria is a constituent of the moist linings known as mucous membranes or mucosa, which line various tubes in the body.The lamina propria is a thin layer of loose connective tissue which lies beneath the epithelium and together with the epithelium constitutes the mucosa.As its Latin name indicates it is a characteristic component of the mucosa, the mucosa's own special layer.he lamina propria is a constituent of the moist linings known as mucous membranes or mucosa, which line various tubes in the body.
  what family is the common bullfrog in	The American bullfrog (Rana catesbeiana), often simply known as the bullfrog in Canada and the United States, is an aquatic frog, a member of the family Ranidae, or “true frogs”. This frog has an olive green back and sides blotched with brownish markings and a whitish belly spotted with yellow or grey.
  why does well pump cycle on and off	1 When a well pump turns on every time a water-using fixture’s valve is opened, or if it turns on and off rapidly while the fixture is in use, that’s short cycling. It is typically caused by a water pressure tank that has lost it built-in cushion of pressurized air.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

nq_pairs

• Dataset: nq_pairs at f9e894e
• Size: 30,250 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 10 tokens mean: 11.81 tokens max: 22 tokens	min: 16 tokens mean: 135.28 tokens max: 512 tokens

• Samples:

  sentence1	sentence2
  who established the republic of china in 1912 ce	Republic of China (1912–1949) The Republic of China was a sovereign state in East Asia, that occupied the territories of modern China and for part of its history Mongolia and Taiwan. It was founded in 1912, after the Qing dynasty, the last imperial dynasty, was overthrown in the Xinhai Revolution. The Republic's first president, Sun Yat-sen, served only briefly before handing over the position to Yuan Shikai, former leader of the Beiyang Army. His party, then led by Song Jiaoren, won the parliamentary election held in December 1912. Song was assassinated shortly after, and the Beiyang Army led by Yuan Shikai maintained full control of the government in Beijing. Between late 1915 and early 1916, Yuan tried to reinstate the monarchy, before resigning after popular unrest. After Yuan's death in 1916, members of cliques in the former Beiyang Army claimed their autonomy and clashed with each other. During this period, the authority of the republican government was weakened by a restoration of the Qing government.
  what is the message in john lennon's imagine	Imagine (John Lennon song) "Imagine" is a song written and performed by English musician John Lennon. The best-selling single of his solo career, its lyrics encourage the listener to imagine a world at peace without the barriers of borders or the divisions of religion and nationality, and to consider the possibility that the whole of humanity would live unattached to material possessions.
  who is the original singer for these boots are made for walking	These Boots Are Made for Walkin' "These Boots Are Made for Walkin'" is a hit song written by Lee Hazlewood and recorded by Nancy Sinatra. It charted January 22, 1966,[3] and reached No. 1 in the United States Billboard Hot 100 and in the UK Singles Chart.[2]

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

trivia_pairs

• Dataset: trivia_pairs at a7c36e3
• Size: 12,024 training samples
• Columns: query and answer
• Approximate statistics based on the first 1000 samples:

  	query	answer
  type	string	string
  details	min: 7 tokens mean: 17.49 tokens max: 61 tokens	min: 12 tokens mean: 200.72 tokens max: 482 tokens

• Samples:

  query	answer
  What is the name of 'Bob the Builder's' cement mixer?	BOB the BUILDER DIZZY the CEMENT MIXER BOB the BUILDER DIZZY THE CEMENT MIXER Large Friction Action Dizzy the Cement Mixer and clicky noise turn by hand Mixer from the Large Bob The Builder Friction toy Collection  Measures 5" x  4" High  in EXCELLENT Played with Condition �8.00 .. US $15.60  .. EUROS 12.00 Ref # 0845
  Which cartoon character, who cooks at the Krusty Krab, lives in a pineapple under the sea?	SpongeBob SquarePants from SpongeBob SquarePants
  Chinese Democracy was the long awaited 2008 album release of which band?	Guns N Roses 'Chinese Democracy' Set For Wal-Mart Release

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

gooaq_pairs

• Dataset: gooaq_pairs at b089f72
• Size: 30,250 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 8 tokens mean: 11.37 tokens max: 24 tokens	min: 13 tokens mean: 56.7 tokens max: 154 tokens

• Samples:

  sentence1	sentence2
  do namibians need a visa for london?	The Embassy is closed every Friday. Namibia tourist visa is not required for citizens of United Kingdom for a stay up to 90 days. Sounds good!
  what is the meaning of personal finance?	Personal finance is a term that covers managing your money as well as saving and investing. ... It often refers to the entire industry that provides financial services to individuals and households and advises them about financial and investment opportunities.
  what are trim tabs for?	Trim tabs are either flat plates or vertical blades fitted either side of the boat and attached to the transom. They are used to trim or level the boat, both fore and aft and side to side. Trim tabs are controlled up and downwards by either a hydraulic, or electric ram system on the transom.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

paws-pos

• Dataset: paws-pos at 161ece9
• Size: 21,829 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 9 tokens mean: 25.63 tokens max: 68 tokens	min: 10 tokens mean: 25.55 tokens max: 68 tokens

• Samples:

  sentence1	sentence2
  Thompson was born in Hendon , North London , Dena Holmes in 1960 and worked for a building society bank .	Thompson was born Dena Holmes in 1960 in Hendon , North London . She worked for a building society .
  One of his first cousins was Elizabeth , aka Lady Elizabeth Hervey , aka Bess Foster , Duchess of Devonshire . His younger brother married Lord Bishop Foster .	One of his first cousins was Elizabeth , alias Lady Elizabeth Hervey , alias Bess Foster , Duchess of Devonshire , his younger brother married Lord Bishop Foster .
  At the executive level , EEAA represents the central arm of the Ministry .	At executive level , EEAA represents the central arm of the ministry .

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

Evaluation Datasets

vitaminc-pairs

• Dataset: vitaminc-pairs at be6febb
• Size: 108 evaluation samples
• Columns: claim and evidence
• Approximate statistics based on the first 1000 samples:

  	claim	evidence
  type	string	string
  details	min: 9 tokens mean: 21.36 tokens max: 41 tokens	min: 11 tokens mean: 36.11 tokens max: 79 tokens

• Samples:

  claim	evidence
  Dragon Con had over 5000 guests .	Among the more than 6000 guests and musical performers at the 2009 convention were such notables as Patrick Stewart , William Shatner , Leonard Nimoy , Terry Gilliam , Bruce Boxleitner , James Marsters , and Mary McDonnell .
  COVID-19 has reached more than 185 countries .	As of , more than cases of COVID-19 have been reported in more than 190 countries and 200 territories , resulting in more than deaths .
  In March , Italy had 3.6x times more cases of coronavirus than China .	As of 12 March , among nations with at least one million citizens , Italy has the world 's highest per capita rate of positive coronavirus cases at 206.1 cases per million people ( 3.6x times the rate of China ) and is the country with the second-highest number of positive cases as well as of deaths in the world , after China .

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

negation-triplets

• Dataset: negation-triplets
• Size: 64 evaluation samples
• Columns: anchor, entailment, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	entailment	negative
  type	string	string	string
  details	min: 11 tokens mean: 13.64 tokens max: 19 tokens	min: 9 tokens mean: 13.23 tokens max: 21 tokens	min: 10 tokens mean: 13.52 tokens max: 22 tokens

• Samples:

  anchor	entailment	negative
  Set of toy animals sitting in front of a red wooden wagon.	Several toy animals - a bull, giraffe, deer and parakeet.	Several toy animals - a cow, lion, wolf and canary.
  A bathroom with a toilette with it's seat down.	A bathroom with a sink and a toilet	A bathroom without a sink or a toilet
  A striped plane flying up into the sky as the sun shines behind it.	An airplane is ascending into the white sky	An airplane is descending into the black sky

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

scitail-pairs-pos

• Dataset: scitail-pairs-pos at 0cc4353
• Size: 54 evaluation samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 9 tokens mean: 20.81 tokens max: 45 tokens	min: 10 tokens mean: 15.48 tokens max: 23 tokens

• Samples:

  sentence1	sentence2
  humans normally have 23 pairs of chromosomes.	Humans typically have 23 pairs pairs of chromosomes.
  A solution is a homogenous mixture of two or more substances that exist in a single phase.	Solution is the term for a homogeneous mixture of two or more substances.
  Upwelling The physical process in near-shore ocean systems of rising of nutrients and colder bottom waters to the surface because of constant wind patterns along the shoreline.	Upwelling is the term for when deep ocean water rises to the surface.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

scitail-pairs-qa

• Dataset: scitail-pairs-qa at 0cc4353
• Size: 128 evaluation samples
• Columns: sentence2 and question
• Approximate statistics based on the first 1000 samples:

  	sentence2	question
  type	string	string
  details	min: 7 tokens mean: 15.31 tokens max: 33 tokens	min: 7 tokens mean: 14.91 tokens max: 26 tokens

• Samples:

  sentence2	question
  It takes earth one week to rotate on its axis seven times.	How long does it take for Earth to rotate on its axis seven times?
  Both hurricanes and tornadoes always have high winds.	Both hurricanes and tornadoes always
  Seeds of a pine cone are easily carried by the wind and dispersed because seeds have wings.	Why are seeds of a pine cone easily carried by the wind and dispersed?

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

xsum-pairs

• Dataset: xsum-pairs
• Size: 128 evaluation samples
• Columns: document and summary
• Approximate statistics based on the first 1000 samples:

  	document	summary
  type	string	string
  details	min: 63 tokens mean: 214.16 tokens max: 341 tokens	min: 15 tokens mean: 25.86 tokens max: 43 tokens

• Samples:

  document	summary
  The rescue on Monday afternoon involved a challenging winch down to the casualty by a coastguard helicopter's paramedic. The Inverness Airport-based helicopter could not be brought too close in case its downdraft blew the man and his fellow walkers off the ridge. The walker was taken to hospital for treatment. The alarm was raised at 14:25 on Monday after the man became unwell on Carn Mor Dearg. He was airlifted to Torlundy and from there was taken to hospital by ambulance. Scott Sharman, paramedic winchman, said: "It was an extremely steep ridge and we needed to make sure we kept at a safe distance because the downdraft could very easily have blown them over the ridge."	A walker had to be rescued from a 1,000m (3,500ft) ridge near Ben Nevis after he became ill.
  The 23-year-old, who did not make a senior appearances during a year with the Hornets, has signed a two-year deal with the O's. Woods began his career in Cambridge United's youth set-up and subsequently joined Manchester United's academy. He moved to Doncaster Rovers in 2009 and went on to make 82 appearances, before leaving the club last summer. Woods, a former England Under-19 international, will provide competition for fellow new arrival Adam Legzdins.	League One side Leyton Orient have signed goalkeeper Gary Woods following his departure from Watford.
  The 32-year-old, the number one ranked Test bowler, has been out of action with a groin strain since the first Test against India in early November. But in Cape Town this week he was able to complete two bowling spells at match intensity in the nets, run sprints and do agility tests and fielding drills. The first of the four-match Test series begins in Durban on 26 December. Proteas team manager, Dr Mohammed Moosajee said: "Dale has put a lot of work into his training and rehab since his return from India so we are very happy to have him back from injury. "He was put through a thorough fitness test on Thursday by physiotherapist, Shane Jabaar, he came through the tests without any discomfort and will be available for selection for the first Test match against England." Steyn has taken 402 wickets in 81 Tests at an average of 22.56, including 46 in 11 matches against England. South Africa remain at the top of the Test rankings despite a 3-0 defeat in India this month.	South Africa paceman Dale Steyn will be fit for the Test series with England after passing a fitness test.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

sciq_pairs

• Dataset: sciq_pairs at 2c94ad3
• Size: 128 evaluation samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 8 tokens mean: 16.72 tokens max: 36 tokens	min: 2 tokens mean: 73.28 tokens max: 332 tokens

• Samples:

  sentence1	sentence2
  The skull is a part of a vertebrate endoskeleton that encloses and protects what organ?	part of a vertebrate endoskeleton that encloses and protects the brain; also called the skull.
  The action of sunlight on the skin triggers the body to produce what vitamin?	Milk and other dairy foods are not the only sources of calcium. This important nutrient is also found in green leafy vegetables, broccoli, and intact salmon and canned sardines with their soft bones. Nuts, beans, seeds, and shellfish provide calcium in smaller quantities. Except for fatty fish like salmon and tuna, or fortified milk or cereal, vitamin D is not found naturally in many foods. The action of sunlight on the skin triggers the body to produce its own vitamin D (Figure 6.22), but many people, especially those of darker complexion and those living in northern latitudes where the sun’s rays are not as strong, are deficient in vitamin D. In cases of deficiency, a doctor can prescribe a vitamin D supplement.
  What phenomenon is essential in order for evolution to occur because it increases genetic variation and the potential for individuals to differ?	Mutations are essential for evolution to occur because they increase genetic variation and the potential for individuals to differ. The majority of mutations are neutral in their effects on the organisms in which they occur. Beneficial mutations may become more common through natural selection. Harmful mutations may cause genetic disorders or cancer.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

qasc_pairs

• Dataset: qasc_pairs at a34ba20
• Size: 128 evaluation samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 4 tokens mean: 11.34 tokens max: 25 tokens	min: 18 tokens mean: 35.58 tokens max: 66 tokens

• Samples:

  sentence1	sentence2
  What designed for swimming are used for moving faster through water?	webbed feet are used for moving faster through water by aquatic animals. Ducks have webbed feet, designed for swimming.. Feet designed for swimming are used for moving faster through water.
  what falls making sunlight available to surrounding plants?	if a tree falls then sunlight becomes available to the surrounding plants. Oak trees are found throughout.. if an oak falls then sunlight becomes available to surrounding plants
  What is the term used for an individual who is learning ethology?	Ethologists usually study how animals behave in their natural environment.. Ethology is the study of behavior.. Ethologists learn ethology

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

openbookqa_pairs

• Dataset: openbookqa_pairs
• Size: 128 evaluation samples
• Columns: question and fact
• Approximate statistics based on the first 1000 samples:

  	question	fact
  type	string	string
  details	min: 3 tokens mean: 13.98 tokens max: 47 tokens	min: 4 tokens mean: 11.78 tokens max: 28 tokens

• Samples:

  question	fact
  The thermal production of a stove is generically used for	a stove generates heat for cooking usually
  What creates a valley?	a valley is formed by a river flowing
  when it turns day and night on a planet, what cause this?	a planet rotating causes cycles of day and night on that planet

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

msmarco_pairs

• Dataset: msmarco_pairs at 28ff31e
• Size: 128 evaluation samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 4 tokens mean: 8.91 tokens max: 20 tokens	min: 26 tokens mean: 80.7 tokens max: 195 tokens

• Samples:

  sentence1	sentence2
  when did young american by david bowie come out	Young Americans (song) Young Americans is a single by English singer and songwriter David Bowie, released in 1975. It is included in the album of the same name. The song was a massive breakthrough in the United States, where glam rock had never really become very popular outside the major cities.
  are investment commissions tax deductible	You typically pay a commission when you buy, and you pay another commission when you sell. The IRS does not consider investment commissions to be a tax-deductible expense. Instead, the commission becomes part of the investment's cost basis, which still provides you with some tax relief.
  does photosynthesis occur in prokaryotes	Animal cells do not undergo photosynthesis, but in a plant cell, the site of photosynthesis is the chloroplast. Prokaryotes are more primitive-they have no nucleus for a start, and also have no chloroplasts.They are bacterial cells and so do not undergo photosynthesis.ating Newest Oldest. Best Answer: Actually, some procaryotes have photosynthesis. The thing is, as they don't have organelles, it doesn't occur in a differentiated structure, like choroplasts in eucaryotes. It happens along the plasma membrane.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

nq_pairs

• Dataset: nq_pairs at f9e894e
• Size: 128 evaluation samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 10 tokens mean: 11.68 tokens max: 18 tokens	min: 31 tokens mean: 127.79 tokens max: 326 tokens

• Samples:

  sentence1	sentence2
  who played gimli in the lord of the rings movies	John Rhys-Davies John Rhys-Davies (born 5 May 1944) is a Welsh actor and voice actor known for his portrayal of Gimli in The Lord of the Rings trilogy and the charismatic Arab excavator Sallah in the Indiana Jones films. He also played Agent Michael Malone in the 1993 remake of the 1950s television series The Untouchables, Pilot Vasco Rodrigues in the mini-series Shōgun, Professor Maximillian Arturo in Sliders, King Richard I in Robin of Sherwood, General Leonid Pushkin in the James Bond film The Living Daylights, and Macro in I, Claudius. Additionally, he provided the voices of Cassim in Disney's Aladdin and the King of Thieves, Macbeth in Gargoyles, Man Ray in SpongeBob SquarePants, Hades in Justice League and Tobias in the computer game Freelancer.
  why did the red sea get its name	Red Sea Red Sea is a direct translation of the Greek Erythra Thalassa (Ερυθρὰ Θάλασσα), Latin Mare Rubrum (alternatively Sinus Arabicus, literally "Arabian Gulf"), Arabic: البحر الأحمر‎, translit. Al-Baḥr Al-Aḥmar (alternatively بحر القلزم Baḥr Al-Qulzum, literally "the Sea of Clysma"), Somali Badda Cas and Tigrinya Qeyyiḥ bāḥrī (ቀይሕ ባሕሪ). The name of the sea may signify the seasonal blooms of the red-coloured Trichodesmium erythraeum near the water's surface.[5] A theory favored by some modern scholars is that the name red is referring to the direction south, just as the Black Sea's name may refer to north. The basis of this theory is that some Asiatic languages used color words to refer to the cardinal directions.[6] Herodotus on one occasion uses Red Sea and Southern Sea interchangeably.[7]
  when is the new president of mexico announced	Mexican general election, 2018 López Obrador won the election on 1 July 2018 with over 50% of the popular vote. In terms of states won, López Obrador won in a landslide, carrying 31 out of 32 of the country's states,[5] the most states won by a candidate since Ernesto Zedillo won every state in the 1994 election.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

trivia_pairs

• Dataset: trivia_pairs at a7c36e3
• Size: 128 evaluation samples
• Columns: query and answer
• Approximate statistics based on the first 1000 samples:

  	query	answer
  type	string	string
  details	min: 8 tokens mean: 16.72 tokens max: 42 tokens	min: 20 tokens mean: 211.76 tokens max: 512 tokens

• Samples:

  query	answer
  Who sang '99 Red Balloons'?	99 red ballons - Nena - YouTube 99 red ballons - Nena Want to watch this again later? Sign in to add this video to a playlist. Need to report the video? Sign in to report inappropriate content. Rating is available when the video has been rented. This feature is not available right now. Please try again later. Uploaded on Jul 29, 2006 This is the video 99 red ballons (english version) by nena Category
  Who is the patron saint of doctors, surgeons, painters and artists?	St. Luke Medals St. Luke Medals St. Luke is the Patron Saint of artists, brewers, butchers, doctors, glassworks, painters, physicians and surgeons. Luke is symbolically portrayed as an animal of sacrifice, the ox, because he begins his Gospel with the history of Zachary, the priest offering sacrifice to God, and because throughout his Gospel he accentuates the universal priesthood of Christ. St. Luke�s Gospel includes six miracles and 18 parables not found elsewhere in the Bible.
  Vande Mataram (I praise thee, Mother) is the national song of which BRIC nation?	'Vande Mataram' Real National Anthem: RSS Leader- The New Indian Express 'Vande Mataram' Real National Anthem: RSS Leader By PTI

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

gooaq_pairs

• Dataset: gooaq_pairs at b089f72
• Size: 128 evaluation samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 8 tokens mean: 11.34 tokens max: 15 tokens	min: 19 tokens mean: 57.08 tokens max: 112 tokens

• Samples:

  sentence1	sentence2
  which gases are emitted from vehicles?	['Particulate matter (PM). One type of particulate matter is the soot seen in vehicle exhaust. ... ', 'Volatile Organic Compounds (VOCs). ... ', 'Nitrogen oxides (NOx). ... ', 'Carbon monoxide (CO). ... ', 'Sulfur dioxide (SO2). ... ', 'Greenhouse gases.']
  how long does it take for someone to not be drunk?	It takes 30 minutes to feel the effects of alcohol. Drinking more than one drink every 30 minutes means you are probably drinking too much, too fast. Slow yourself down, and if you find yourself feeling thirsty before those 30 minutes have passed, try a glass of water first.
  is ssdi taxable in ohio?	Social Security retirement benefits are fully exempt from state income taxes in Ohio. Any income from retirement accounts (like a 401(k) or an IRA) or pensions is taxed as regular income (but there are credits available). Social security benefits, if taxable on the federal return, are deducted on Ohio schedule A.

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

paws-pos

• Dataset: paws-pos at 161ece9
• Size: 128 evaluation samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 10 tokens mean: 25.72 tokens max: 42 tokens	min: 10 tokens mean: 25.55 tokens max: 41 tokens

• Samples:

  sentence1	sentence2
  They were there to enjoy us and they were there to pray for us .	They were there for us to enjoy and they were there for us to pray .
  After the end of the war in June 1902 , Higgins left Southampton in the `` SSBavarian '' in August , returning to Cape Town the following month .	In August , after the end of the war in June 1902 , Higgins Southampton left the `` SSBavarian '' and returned to Cape Town the following month .
  From the merger of the Four Rivers Council and the Audubon Council , the Shawnee Trails Council was born .	Shawnee Trails Council was formed from the merger of the Four Rivers Council and the Audubon Council .

• Loss: CachedGISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.05}
  

Training Hyperparameters

Non-Default Hyperparameters

• eval_strategy: steps
• per_device_train_batch_size: 640
• per_device_eval_batch_size: 64
• learning_rate: 3.5e-05
• weight_decay: 5e-05
• num_train_epochs: 2
• lr_scheduler_type: cosine_with_min_lr
• lr_scheduler_kwargs: {'num_cycles': 0.5, 'min_lr': 6.999999999999999e-06}
• warmup_ratio: 0.2
• save_safetensors: False
• fp16: True
• push_to_hub: True
• hub_model_id: bobox/DeBERTa-small-ST-v1-test-step3-checkpoints-tmp
• hub_strategy: all_checkpoints
• batch_sampler: no_duplicates

All Hyperparameters

Click to expand

• overwrite_output_dir: False
• do_predict: False
• eval_strategy: steps
• prediction_loss_only: True
• per_device_train_batch_size: 640
• per_device_eval_batch_size: 64
• per_gpu_train_batch_size: None
• per_gpu_eval_batch_size: None
• gradient_accumulation_steps: 1
• eval_accumulation_steps: None
• torch_empty_cache_steps: None
• learning_rate: 3.5e-05
• weight_decay: 5e-05
• adam_beta1: 0.9
• adam_beta2: 0.999
• adam_epsilon: 1e-08
• max_grad_norm: 1.0
• num_train_epochs: 2
• max_steps: -1
• lr_scheduler_type: cosine_with_min_lr
• lr_scheduler_kwargs: {'num_cycles': 0.5, 'min_lr': 6.999999999999999e-06}
• warmup_ratio: 0.2
• warmup_steps: 0
• log_level: passive
• log_level_replica: warning
• log_on_each_node: True
• logging_nan_inf_filter: True
• save_safetensors: False
• 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: True
• 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: True
• resume_from_checkpoint: None
• hub_model_id: bobox/DeBERTa-small-ST-v1-test-step3-checkpoints-tmp
• hub_strategy: all_checkpoints
• 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
• eval_on_start: False
• eval_use_gather_object: False
• batch_sampler: no_duplicates
• multi_dataset_batch_sampler: proportional

Training Logs

Click to expand

Epoch	Step	Training Loss	paws-pos loss	trivia pairs loss	scitail-pairs-pos loss	scitail-pairs-qa loss	qasc pairs loss	sciq pairs loss	openbookqa pairs loss	msmarco pairs loss	nq pairs loss	vitaminc-pairs loss	xsum-pairs loss	gooaq pairs loss	negation-triplets loss	VitaminC_max_ap	sts-test_spearman_cosine
0.0022	1	0.8103	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0045	2	0.8803	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0067	3	0.8219	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0090	4	0.0574	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0112	5	0.3044	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0135	6	0.3306	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0157	7	0.759	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0180	8	0.0472	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0202	9	0.7782	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0225	10	0.0757	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0247	11	0.7778	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0270	12	0.7111	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0292	13	0.6598	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0315	14	0.8901	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0337	15	0.3206	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0360	16	0.3408	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0382	17	0.5623	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0404	18	0.0758	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0427	19	0.994	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0449	20	2.4196	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0472	21	0.0561	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0494	22	0.0827	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0517	23	0.7405	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0539	24	0.9656	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0562	25	0.7855	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0584	26	0.6349	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0607	27	0.8087	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0629	28	0.9282	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0652	29	0.3377	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0674	30	0.3289	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0697	31	0.6314	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0719	32	0.0611	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0742	33	0.8942	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0764	34	0.0701	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0787	35	0.8506	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0809	36	0.3386	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0831	37	0.0701	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0854	38	0.8042	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0876	39	0.8744	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0899	40	0.8644	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0921	41	0.8647	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0944	42	0.7916	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0966	43	0.8599	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.0989	44	0.0523	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1011	45	0.6968	0.0245	0.5306	0.0737	0.0016	0.0908	0.0154	0.6755	0.1599	0.0959	1.7274	0.0382	0.2968	0.9175	0.5544	0.9038
0.1034	46	0.3376	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1056	47	0.5174	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1079	48	0.8162	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1101	49	0.3545	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1124	50	0.315	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1146	51	0.0627	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1169	52	0.8851	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1191	53	0.8382	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1213	54	0.733	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1236	55	0.7173	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1258	56	0.7659	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1281	57	0.793	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1303	58	0.5426	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1326	59	0.7641	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1348	60	0.0657	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1371	61	0.7836	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1393	62	0.9306	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1416	63	0.8673	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1438	64	0.9296	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1461	65	0.8211	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1483	66	0.7685	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1506	67	0.7139	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1528	68	0.8241	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1551	69	0.6256	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1573	70	0.8842	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1596	71	0.804	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1618	72	0.0989	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1640	73	0.332	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1663	74	0.5736	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1685	75	0.8285	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1708	76	0.9561	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1730	77	0.0633	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1753	78	0.0848	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1775	79	0.8325	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1798	80	1.0011	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1820	81	0.8697	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1843	82	0.8344	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1865	83	0.9967	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1888	84	0.4638	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1910	85	0.8994	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1933	86	0.7789	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1955	87	0.0555	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.1978	88	0.3778	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2	89	0.708	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2022	90	0.0689	0.0245	0.5192	0.0654	0.0016	0.0911	0.0158	0.7133	0.1517	0.0965	1.6142	0.0399	0.3071	0.9220	0.5542	0.9046
0.2045	91	2.3489	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2067	92	0.741	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2090	93	0.7729	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2112	94	0.0631	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2135	95	0.9342	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2157	96	0.8581	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2180	97	0.5198	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2202	98	0.846	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2225	99	0.6581	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2247	100	0.3579	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2270	101	0.908	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2292	102	0.0664	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2315	103	0.5411	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2337	104	0.9163	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2360	105	0.7975	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2382	106	0.37	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2404	107	0.8495	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2427	108	0.8073	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2449	109	0.7563	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2472	110	0.6585	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2494	111	0.3246	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2517	112	0.9718	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2539	113	0.8584	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2562	114	0.3385	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2584	115	0.323	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2607	116	0.3359	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2629	117	0.6955	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2652	118	0.0539	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2674	119	0.0507	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2697	120	0.314	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2719	121	1.0339	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2742	122	0.3158	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2764	123	0.7809	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2787	124	0.9516	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2809	125	0.3117	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2831	126	0.8366	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2854	127	0.8033	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2876	128	0.7253	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2899	129	0.8345	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2921	130	0.7532	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2944	131	0.8247	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2966	132	0.5175	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.2989	133	0.7813	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3011	134	0.6582	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3034	135	0.3484	0.0242	0.5458	0.0738	0.0015	0.0924	0.0162	0.6892	0.1677	0.0974	1.5520	0.0366	0.3082	0.9212	0.5518	0.9050
0.3056	136	0.7648	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3079	137	0.7554	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3101	138	0.0753	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3124	139	0.4987	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3146	140	0.8543	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3169	141	0.9425	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3191	142	0.0472	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3213	143	0.848	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3236	144	0.8946	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3258	145	0.7841	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3281	146	0.6653	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3303	147	0.3522	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3326	148	0.4853	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3348	149	0.4726	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3371	150	0.8693	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3393	151	0.8124	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3416	152	0.8206	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3438	153	0.9406	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3461	154	0.7944	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3483	155	0.0766	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3506	156	0.8609	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3528	157	1.0533	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3551	158	0.8396	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3573	159	0.7865	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3596	160	2.4616	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3618	161	0.0556	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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0.3685	164	0.7993	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3708	165	0.8104	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3730	166	0.8199	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3753	167	1.0724	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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0.3798	169	0.8536	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3820	170	0.872	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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0.3865	172	0.7798	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3888	173	0.5953	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3910	174	0.7562	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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0.3955	176	0.8953	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.3978	177	0.7102	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4	178	0.0667	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4022	179	0.0528	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4045	180	0.7312	0.0241	0.5359	0.0916	0.0013	0.0949	0.0173	0.7253	0.1738	0.1032	1.5216	0.0496	0.3070	0.9813	0.5583	0.9055
0.4067	181	0.7809	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4090	182	0.8333	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4112	183	0.9283	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4135	184	0.7011	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4157	185	0.8413	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4180	186	1.1679	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4202	187	0.8701	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4225	188	0.8139	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4247	189	0.664	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4270	190	0.3835	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4292	191	0.8516	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4315	192	0.5479	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4337	193	0.8642	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4360	194	0.3121	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4382	195	0.6932	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4404	196	0.0647	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4427	197	0.8173	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4449	198	0.3122	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4472	199	0.7852	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4494	200	0.811	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4517	201	0.7564	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4539	202	0.0541	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4562	203	0.9085	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4584	204	0.8416	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4607	205	0.0569	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4629	206	0.7998	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4652	207	0.7218	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4674	208	0.9292	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4697	209	0.8279	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4719	210	0.8452	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4742	211	1.1099	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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0.4809	214	0.3297	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4831	215	0.8098	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4854	216	0.0386	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4876	217	0.7752	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4899	218	0.8071	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4921	219	2.571	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4944	220	0.5912	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4966	221	0.3792	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.4989	222	0.7456	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5011	223	0.7207	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5034	224	0.3254	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5056	225	0.0461	0.0236	0.5324	0.0761	0.0012	0.0921	0.0165	0.7430	0.1787	0.0980	1.4897	0.0276	0.2668	0.9457	0.5573	0.9051
0.5079	226	0.347	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5101	227	0.0417	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5124	228	0.7783	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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0.5191	231	0.705	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5213	232	0.8425	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5236	233	0.5362	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5258	234	0.7869	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5281	235	0.88	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5303	236	0.8077	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5326	237	0.8145	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5348	238	0.78	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5371	239	0.0536	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5393	240	0.7975	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5416	241	0.8932	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5438	242	0.3386	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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0.5506	245	0.7999	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5528	246	0.8542	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5551	247	0.6992	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5573	248	0.8579	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5596	249	1.0221	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5618	250	0.699	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5640	251	0.8523	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5663	252	1.0307	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5685	253	0.846	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5708	254	0.8361	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5730	255	0.8224	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5753	256	0.5301	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5775	257	0.3795	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5798	258	0.5434	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5820	259	0.847	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5843	260	0.7323	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5865	261	0.6606	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5888	262	0.0543	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5910	263	0.6709	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5933	264	0.809	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5955	265	1.0391	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.5978	266	0.7396	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6	267	0.7839	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6022	268	0.3054	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6045	269	0.5258	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6067	270	0.7367	0.0244	0.4969	0.0964	0.0009	0.0913	0.0162	0.7336	0.1587	0.1078	1.4936	0.0269	0.3026	0.9505	0.5506	0.9085
0.6090	271	0.747	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6112	272	0.7855	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6135	273	0.0473	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6157	274	0.4378	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6180	275	0.8767	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6202	276	1.0345	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6225	277	0.5182	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6247	278	2.5949	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6270	279	0.833	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6292	280	0.0778	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6315	281	0.8048	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6337	282	0.7524	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6360	283	0.3246	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6382	284	0.0728	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6404	285	2.3619	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6427	286	0.7464	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6449	287	0.6691	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6472	288	0.059	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6494	289	0.7841	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6517	290	0.647	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6539	291	0.8814	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6562	292	0.7247	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6584	293	0.059	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6607	294	0.8317	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6629	295	0.8548	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6652	296	0.9213	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6674	297	0.6923	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6697	298	0.7777	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6719	299	0.7496	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6742	300	0.7636	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6764	301	0.6867	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6787	302	0.0506	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6809	303	0.3346	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6831	304	0.2485	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6854	305	0.8508	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6876	306	0.8464	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6899	307	0.3385	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6921	308	0.8837	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6944	309	0.9019	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6966	310	0.6922	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.6989	311	0.6348	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7011	312	0.7522	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7034	313	0.7843	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7056	314	0.0493	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7079	315	0.357	0.0240	0.5302	0.0995	0.0010	0.0917	0.0152	0.6922	0.1518	0.1014	1.4885	0.0278	0.2842	0.9598	0.5576	0.9068
0.7101	316	0.841	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7124	317	0.5849	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7146	318	0.6818	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7169	319	0.8269	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7191	320	0.6979	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7213	321	0.3218	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7236	322	0.8206	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7258	323	0.2106	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7281	324	1.0524	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7303	325	0.3774	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7326	326	0.9098	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7348	327	0.7988	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7371	328	0.7916	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7393	329	0.6314	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7416	330	0.8628	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7438	331	0.0688	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7461	332	0.7386	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7483	333	0.8458	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7506	334	0.0442	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7528	335	0.317	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7551	336	0.8087	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7573	337	0.3398	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7596	338	0.699	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7618	339	0.7901	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7640	340	0.8072	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7663	341	0.5939	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7685	342	0.6933	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7708	343	0.0437	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7730	344	0.9882	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7753	345	0.3707	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7775	346	0.7103	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7798	347	0.0372	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7820	348	0.028	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7843	349	0.7676	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7865	350	0.6754	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7888	351	0.0439	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7910	352	0.8039	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7933	353	0.0104	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7955	354	0.0555	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.7978	355	0.8646	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8	356	0.7781	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8022	357	0.011	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8045	358	0.3267	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8067	359	2.5281	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8090	360	0.301	0.0243	0.5313	0.1073	0.0006	0.1025	0.0160	0.6711	0.1452	0.1023	1.4291	0.0260	0.2771	0.9031	0.5599	0.9054
0.8112	361	0.7533	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8135	362	0.2958	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8157	363	0.8296	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8180	364	0.3191	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8202	365	0.7866	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8225	366	0.3157	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8247	367	0.7402	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8270	368	0.4957	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8292	369	0.8505	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8315	370	0.7702	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8337	371	0.7591	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8360	372	0.727	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8382	373	0.3233	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8404	374	0.8738	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8427	375	0.0393	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8449	376	0.7454	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8472	377	0.8297	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8494	378	0.7802	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8517	379	0.6229	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8539	380	0.0	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8562	381	0.3506	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8584	382	0.041	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8607	383	0.725	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8629	384	0.257	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8652	385	0.7912	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8674	386	0.8915	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8697	387	0.779	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8719	388	0.7828	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8742	389	0.7462	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8764	390	0.7913	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8787	391	0.3209	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8809	392	0.5932	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8831	393	0.0613	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8854	394	0.8802	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8876	395	0.6116	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8899	396	0.0537	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8921	397	0.3006	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8944	398	0.7636	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8966	399	0.612	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.8989	400	0.54	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9011	401	0.2761	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9034	402	1.2668	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9056	403	0.8066	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9079	404	0.0094	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9101	405	0.673	0.0242	0.4919	0.1050	0.0008	0.0942	0.0152	0.7152	0.1418	0.1087	1.4849	0.0285	0.2616	0.9024	0.5543	0.9052
0.9124	406	0.5189	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9146	407	0.649	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9169	408	0.2982	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9191	409	0.7511	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9213	410	0.5164	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9236	411	0.5924	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9258	412	0.8191	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9281	413	0.2311	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9303	414	0.7421	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9326	415	0.2936	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9348	416	0.737	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9371	417	0.6539	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9393	418	0.6855	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9416	419	0.8134	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9438	420	0.6885	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9461	421	0.5581	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9483	422	0.8029	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9506	423	0.8126	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9528	424	0.8425	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9551	425	0.049	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9573	426	0.7849	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9596	427	0.068	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9618	428	0.2925	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9640	429	0.777	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9663	430	0.7397	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9685	431	0.0007	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9708	432	0.8535	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9730	433	0.7026	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9753	434	0.7557	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9775	435	0.7225	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9798	436	0.0	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9820	437	0.4131	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9843	438	0.2824	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9865	439	0.3144	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9888	440	0.0509	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9910	441	0.7645	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9933	442	0.2787	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9955	443	0.64	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
0.9978	444	0.4045	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0	445	0.7661	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0022	446	0.7335	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0045	447	0.7835	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0067	448	0.7674	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0090	449	0.0489	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0112	450	0.3104	0.0251	0.4878	0.0699	0.0008	0.0959	0.0178	0.7217	0.1512	0.1032	1.4285	0.0287	0.2688	0.8765	0.5541	0.9043
1.0135	451	0.2977	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0157	452	0.7256	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0180	453	0.0327	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0202	454	0.7372	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0225	455	0.0518	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0247	456	0.7668	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0270	457	0.6634	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0292	458	0.6022	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0315	459	0.7255	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0337	460	0.2823	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0360	461	0.2614	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0382	462	0.5231	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0404	463	0.0424	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0427	464	0.9838	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0449	465	2.4683	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0472	466	0.0497	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0494	467	0.0766	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0517	468	0.7333	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0539	469	0.7881	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0562	470	0.7611	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0584	471	0.6023	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0607	472	0.7884	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0629	473	0.8465	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0652	474	0.2752	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0674	475	0.2648	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0697	476	0.5548	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0719	477	0.0554	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0742	478	0.8244	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0764	479	0.0369	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0787	480	0.747	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0809	481	0.2507	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0831	482	0.0304	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0854	483	0.7735	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0876	484	0.7526	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0899	485	0.7959	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0921	486	0.7405	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0944	487	0.7041	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0966	488	0.6991	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.0989	489	0.0462	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1011	490	0.5835	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1034	491	0.2632	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1056	492	0.4681	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1079	493	0.7271	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1101	494	0.2582	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1124	495	0.2251	0.0239	0.5306	0.0761	0.0005	0.1029	0.0153	0.6792	0.1548	0.0933	1.3855	0.0206	0.2823	0.8651	0.5517	0.9052
1.1146	496	0.0385	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1169	497	0.7277	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1191	498	0.705	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1213	499	0.6059	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1236	500	0.6156	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1258	501	0.6809	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1281	502	0.7104	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1303	503	0.4397	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1326	504	0.6952	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1348	505	0.0557	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1371	506	0.6711	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1393	507	0.7173	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1416	508	0.7037	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1438	509	0.8578	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1461	510	0.6712	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1483	511	0.7472	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1506	512	0.5911	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1528	513	0.6827	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1551	514	0.5034	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1573	515	0.8367	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1596	516	0.6596	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1618	517	0.0859	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1640	518	0.2797	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1663	519	0.5181	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1685	520	0.6837	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1708	521	0.7238	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1730	522	0.0318	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1753	523	0.0694	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1775	524	0.7472	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1798	525	0.8912	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1820	526	0.7744	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.1843	527	0.6869	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.2180	542	0.4639	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.2202	543	0.6663	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.2629	562	0.4856	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.2674	564	0.0302	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.2966	577	0.4428	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.3034	580	0.2222	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.3056	581	0.5672	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.3079	582	0.6562	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.3101	583	0.056	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.3124	584	0.4015	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.3169	586	0.7298	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.3191	587	0.0372	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.3236	589	0.6839	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.3281	591	0.4449	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.3303	592	0.2104	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.3326	593	0.391	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.3371	595	0.6953	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.3393	596	0.6382	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.3416	597	0.6245	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.3438	598	0.6775	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.3528	602	0.8138	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.3573	604	0.6801	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.3596	605	2.2003	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.3640	607	0.2175	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.3798	614	0.57	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.3820	615	0.6329	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.3933	620	0.5259	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.4	623	0.0324	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4022	624	0.0305	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4045	625	0.5194	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.4090	627	0.5688	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4112	628	0.7636	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4135	629	0.478	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.4180	631	0.9232	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4202	632	0.613	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4225	633	0.5689	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4247	634	0.4126	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4270	635	0.2148	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4292	636	0.7029	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4315	637	0.3989	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.4360	639	0.158	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.4404	641	0.0561	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4427	642	0.6613	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4449	643	0.1917	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4472	644	0.5755	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4494	645	0.5609	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4517	646	0.5407	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4539	647	0.0455	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4562	648	0.6599	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4584	649	0.6952	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4607	650	0.0329	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4629	651	0.6939	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4652	652	0.4664	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4674	653	0.6686	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4697	654	0.6167	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4719	655	0.6612	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4742	656	0.8139	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.4787	658	0.6031	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4809	659	0.1783	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4831	660	0.6536	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4854	661	0.0318	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.4899	663	0.5695	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4921	664	2.3259	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.4966	666	0.2176	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.4989	667	0.5419	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5011	668	0.4976	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5034	669	0.1964	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5056	670	0.0311	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5079	671	0.1832	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5101	672	0.0345	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5124	673	0.5376	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5146	674	0.6316	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.5191	676	0.509	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5213	677	0.6078	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5236	678	0.3961	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
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1.5281	680	0.6305	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5303	681	0.5886	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5326	682	0.6432	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5348	683	0.614	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5371	684	0.0432	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5393	685	0.633	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5416	686	0.6228	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5438	687	0.2105	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5461	688	0.5429	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5483	689	0.5361	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5506	690	0.5567	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5528	691	0.6131	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5551	692	0.5111	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5573	693	0.6216	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5596	694	0.7615	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5618	695	0.51	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5640	696	0.6989	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5663	697	0.8145	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5685	698	0.5928	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5708	699	0.6046	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5730	700	0.6483	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5753	701	0.3976	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5775	702	0.2033	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5798	703	0.4127	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5820	704	0.6008	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5843	705	0.5346	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5865	706	0.4183	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5888	707	0.0245	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5910	708	0.4834	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5933	709	0.5815	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5955	710	0.7791	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.5978	711	0.4835	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6	712	0.5797	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6022	713	0.1891	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6045	714	0.3955	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6067	715	0.497	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6090	716	0.6271	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6112	717	0.5571	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6135	718	0.0405	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6157	719	0.2968	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6180	720	0.7262	0.0241	0.4987	0.1010	0.0007	0.0932	0.0165	0.7172	0.1424	0.0960	1.3777	0.0198	0.2702	0.9084	0.5552	0.9091
1.6202	721	0.7611	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6225	722	0.3926	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6247	723	2.3127	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6270	724	0.7026	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6292	725	0.0685	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6315	726	0.6031	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6337	727	0.579	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6360	728	0.1705	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6382	729	0.0591	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6404	730	2.1115	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6427	731	0.4871	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6449	732	0.4263	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6472	733	0.0484	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6494	734	0.5249	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6517	735	0.3998	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6539	736	0.7226	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6562	737	0.4494	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6584	738	0.0537	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6607	739	0.7129	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6629	740	0.6079	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6652	741	0.6688	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6674	742	0.567	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6697	743	0.5196	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6719	744	0.5081	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6742	745	0.5413	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6764	746	0.4741	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6787	747	0.0289	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6809	748	0.1956	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6831	749	0.1967	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6854	750	0.6488	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6876	751	0.7052	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6899	752	0.1807	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6921	753	0.6238	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6944	754	0.6328	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6966	755	0.4677	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.6989	756	0.44	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7011	757	0.5382	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7034	758	0.6094	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7056	759	0.0262	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7079	760	0.1995	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7101	761	0.6595	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7124	762	0.4056	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7146	763	0.4836	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7169	764	0.5474	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7191	765	0.6019	0.0240	0.5037	0.1004	0.0006	0.0951	0.0160	0.7151	0.1363	0.0948	1.4008	0.0213	0.2534	0.9053	0.5581	0.9094
1.7213	766	0.1824	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7236	767	0.6398	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7258	768	0.1518	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7281	769	0.7804	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7303	770	0.2294	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7326	771	0.719	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7348	772	0.61	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7371	773	0.5865	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7393	774	0.4411	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7416	775	0.6174	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7438	776	0.0526	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7461	777	0.5093	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7483	778	0.6742	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7506	779	0.0293	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7528	780	0.1776	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7551	781	0.6964	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7573	782	0.2044	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7596	783	0.5221	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7618	784	0.579	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7640	785	0.5887	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7663	786	0.4357	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7685	787	0.5437	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7708	788	0.0326	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7730	789	0.7279	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7753	790	0.2255	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7775	791	0.5386	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7798	792	0.0218	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7820	793	0.0174	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7843	794	0.542	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7865	795	0.511	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7888	796	0.0345	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7910	797	0.6513	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7933	798	0.0069	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7955	799	0.0467	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.7978	800	0.6994	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8	801	0.6583	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8022	802	0.0059	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8045	803	0.1896	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8067	804	2.2539	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8090	805	0.1933	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8112	806	0.5681	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8135	807	0.1692	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8157	808	0.6595	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8180	809	0.1603	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8202	810	0.6671	0.0245	0.4944	0.1077	0.0005	0.0981	0.0158	0.6886	0.1277	0.0865	1.3900	0.0200	0.2530	0.8990	0.5586	0.9083
1.8225	811	0.1995	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8247	812	0.5579	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8270	813	0.3833	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8292	814	0.6411	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8315	815	0.6034	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8337	816	0.5206	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8360	817	0.5941	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8382	818	0.2062	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8404	819	0.6086	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8427	820	0.037	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8449	821	0.6257	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8472	822	0.7064	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8494	823	0.563	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8517	824	0.4359	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8539	825	0.0	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8562	826	0.233	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8584	827	0.0335	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8607	828	0.6077	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8629	829	0.1707	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8652	830	0.5807	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8674	831	0.6566	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8697	832	0.663	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8719	833	0.5896	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8742	834	0.5418	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8764	835	0.5735	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8787	836	0.2062	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8809	837	0.4343	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8831	838	0.0614	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8854	839	0.6301	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8876	840	0.3956	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8899	841	0.0479	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8921	842	0.1819	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8944	843	0.6005	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8966	844	0.452	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.8989	845	0.4083	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9011	846	0.1702	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9034	847	0.9503	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9056	848	0.6427	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9079	849	0.0048	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9101	850	0.4609	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9124	851	0.3854	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9146	852	0.4411	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9169	853	0.181	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9191	854	0.5846	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9213	855	0.3585	0.0243	0.4916	0.1050	0.0006	0.0897	0.0162	0.6815	0.1330	0.0923	1.3997	0.0198	0.2540	0.8800	0.5565	0.9085
1.9236	856	0.4303	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9258	857	0.5627	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9281	858	0.1687	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9303	859	0.5509	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9326	860	0.175	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9348	861	0.605	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9371	862	0.5085	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9393	863	0.5059	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9416	864	0.6114	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9438	865	0.5132	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9461	866	0.4178	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9483	867	0.6022	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9506	868	0.5691	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9528	869	0.7299	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9551	870	0.0441	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9573	871	0.5855	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9596	872	0.0151	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9618	873	0.184	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9640	874	0.6185	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9663	875	0.6474	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9685	876	0.0005	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9708	877	0.6692	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9730	878	0.496	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9753	879	0.5654	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9775	880	0.4925	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9798	881	0.0	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9820	882	0.2304	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9843	883	0.1772	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9865	884	0.1804	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9888	885	0.0198	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9910	886	0.6703	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9933	887	0.1552	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9955	888	0.4962	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1.9978	889	0.2099	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
2.0	890	0.6554	0.0246	0.4886	0.0966	0.0005	0.0885	0.0164	0.6816	0.1300	0.0919	1.3958	0.0203	0.2583	0.8738	0.5563	0.9077

Framework Versions

• Python: 3.10.14
• Sentence Transformers: 3.0.1
• Transformers: 4.44.0
• PyTorch: 2.4.0
• Accelerate: 0.33.0
• Datasets: 2.21.0
• Tokenizers: 0.19.1

Citation

BibTeX

Sentence Transformers

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