tasksource/ettin-17m-embed

SentenceTransformer based on jhu-clsp/ettin-encoder-17m

This is a sentence-transformers model finetuned from jhu-clsp/ettin-encoder-17m on 18 datasets. It maps sentences & paragraphs to a 256-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: jhu-clsp/ettin-encoder-17m
• Maximum Sequence Length: 512 tokens
• Output Dimensionality: 256 dimensions
• Similarity Function: Cosine Similarity
• Training Datasets:
  • merged-2l-nli
  • merged-3l-nli
  • zero-shot-label-nli
  • dataset_train_nli
  • paws/labeled_final
  • glue/mrpc
  • glue/qqp
  • fever-evidence-related
  • glue/stsb
  • sick/relatedness
  • sts-companion
  • tomaarsen/natural-questions-hard-negatives
  • tomaarsen/gooaq-hard-negatives
  • bclavie/msmarco-500k-triplets
  • sentence-transformers/all-nli
  • sentence-transformers/msmarco-co-condenser-margin-mse-sym-mnrl-mean-v1
  • sentence-transformers/gooaq
  • sentence-transformers/natural-questions
• 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, 'architecture': 'ModernBertModel'})
  (1): Pooling({'word_embedding_dimension': 256, '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("tasksource/ettin-17m-embed")
# Run inference
queries = [
    "what blood type can donate blood to all other blood types.",
]
documents = [
    "AB can only donate blood to other ABs. A can donate blood to As and ABs. B can donate blood to Bs and ABs. O can donate to all blood types. Negative Rh factors can donate toâ\x80¦ both positive and negative Rh factors, however postive Rh factors can only donate to other positive. So if I had O+ blood, I couldn't donate to A-, but could donate to A+.",
    'A number of Blood donors also donate platelets by apheresis (a procedure in which Blood is drawn from a Blood donor and separated into its components, some of which are retained, such as plasma or platelets, and the remainder of the Blood is returned, by transfusion, to the Blood donor; also called hemapheresis).',
    'Uluru is easily the most iconic natural landform in Australia, and its formation was equally special.The creation of Uluru and Kata Tjuta â\x80\x94 as both were formed at the same time â\x80\x94 began over 500 million years ago. At this time the big crustal blocks that form the Australian continent coming together.luru is easily the most iconic natural landform in Australia, and its formation was equally special.',
]
query_embeddings = model.encode_query(queries)
document_embeddings = model.encode_document(documents)
print(query_embeddings.shape, document_embeddings.shape)
# [1, 256] [3, 256]

# Get the similarity scores for the embeddings
similarities = model.similarity(query_embeddings, document_embeddings)
print(similarities)
# tensor([[ 0.6392,  0.7162, -0.1267]])

Training Details

Training Datasets

merged-2l-nli

merged-2l-nli

• Dataset: merged-2l-nli at af845c6
• Size: 221,613 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 6 tokens mean: 66.07 tokens max: 512 tokens	min: 9 tokens mean: 15.66 tokens max: 122 tokens

• Samples:

  sentence1	sentence2
  No Weapons of Mass Destruction Found in Iraq Yet.	hypothesis: Weapons of Mass Destruction Found in Iraq.
  Mary is no longer in the bedroom. Daniel moved to the hallway.	hypothesis: Mary is in the bedroom.
  The box of chocolates fits inside the chest. The box is bigger than the chest. The box is bigger than the suitcase. The suitcase fits inside the box. The container is bigger than the box of chocolates.	hypothesis: The box fit in the box of chocolates.

• Loss: CachedMultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim",
      "mini_batch_size": 48,
      "gather_across_devices": false
  }
  

merged-3l-nli

merged-3l-nli

• Dataset: merged-3l-nli at e311b1f
• Size: 179,807 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 3 tokens mean: 66.24 tokens max: 512 tokens	min: 9 tokens mean: 34.01 tokens max: 512 tokens

• Samples:

  sentence1	sentence2
  A woman is slicing an onion	hypothesis: An onion is being sliced by a woman
  John met Mary in the museum.	hypothesis: John was in the museum.
  zion working_agreement safebreaker annulet willard seed_pearl fall_apart exaeretodon harshly shoddiness dehydrate bootes carlsbad_caverns fireman whitey phobophobia cornish wisp achromatous organization_of_petroleum-exporting_countries declaw coordinate_axis molded_salad apeldoorn gas_fitting main-topsail inert loosely_knit passivity inhalation_anesthesia draconian arteriosclerotic acquiescence paige subpopulation tewkesbury mekong lastingness trademarked fall_apart dreyfus columniation amphibole_group cryonic nubian_desert fall_apart sclera shirred_egg parented dehiscent fall_apart aflatoxin creosol disenfranchise annonaceae fringed_pink turn state moat agammaglobulinemia endodontics still_life pilaster clotting_time anthrax agamemnon watered_stock vela hao payback valuation humiliation bread homeopath friendliness exercise_device cryptic teletypewriter daycare air_bubble sachem fall_apart synchronous_converter unforethoughtful swad labial_stop housemate antiaircraft napier redeploy p...	hypothesis: The sequence contains exactly 5 instances of the element 'fall_apart'.

• Loss: CachedMultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim",
      "mini_batch_size": 48,
      "gather_across_devices": false
  }
  

zero-shot-label-nli

zero-shot-label-nli

• Dataset: zero-shot-label-nli at b363c89
• Size: 499,439 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 3 tokens mean: 63.96 tokens max: 512 tokens	min: 11 tokens mean: 12.15 tokens max: 20 tokens

• Samples:

  sentence1	sentence2
  Tonight you barely say a word, but in your eyes I see everything. A whole conversation is being kept locked away. Just let me know, Darling, when did you plan to tell me falling in love wasn't for us? Your heart doesn't belong to me and you'll never hold my hand quite the same way. Keep the charade of a picture perfect romance up, because the bitter conclusion is coming my way. You'll regret not having a sequel in this romance. I'll show you that I'm the girl you let get away, the one you should have held on to. Breathing is the only thing keeping me alive, but I'll do it just to kill you inside.	hypothesis: This example is Leo.
  Amrozi said Jews and the US and its allies had evil plans to colonise countries like Indonesia . Jews , Americans and their allies had " evil " plans to colonise nations like Indonesia , Amrozi said .	hypothesis: This example is equivalent.
  A baby is playing outdoors on a sunny day sitting in a colorful kids chair playing with toys , biting the top of a blue toy , with a back drop of green grass and neighborhood fence . It is likely that a kid is enjoying all his new toys	hypothesis: This example is invalid.

• Loss: CachedMultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim",
      "mini_batch_size": 48,
      "gather_across_devices": false
  }
  

dataset_train_nli

dataset_train_nli

• Dataset: dataset_train_nli at 1e00964
• Size: 60,083 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 4 tokens mean: 93.99 tokens max: 512 tokens	min: 12 tokens mean: 17.99 tokens max: 42 tokens

• Samples:

  sentence1	sentence2
  how long will my cash withdrawal be pending for?	hypothesis: This banking customer example message is about a pending cash withdrawal.
  We believe police must be properly resourced to achieve their stated objectives and meet our diverse communities’ expectations. Labour recognises that properly resourcing community policing is a major factor to successfully implementing a ‘prevention first’ operational strategy and is vital if the Police is to retain the trust and confidence of the general public.	hypothesis: This example text from a political party manifesto is positive towards law and order and strict law enforcement
  Schwab to pay deposed CEO $10 million in cash plus stock SAN FRANCISCO Slumping stock brokerage Charles Schwab has promised to pay ten (m) million dollars in cash to recently ousted chief executive David Pottruck.	hypothesis: This example news text is about business news

• Loss: CachedMultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim",
      "mini_batch_size": 48,
      "gather_across_devices": false
  }
  

paws/labeled_final

paws/labeled_final

• Dataset: paws/labeled_final 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: 8 tokens mean: 27.72 tokens max: 56 tokens	min: 9 tokens mean: 27.7 tokens max: 56 tokens

• Samples:

  sentence1	sentence2
  The NBA season of 1975 -- 76 was the 30th season of the National Basketball Association .	The 1975 -- 76 season of the National Basketball Association was the 30th season of the NBA .
  When comparable rates of flow can be maintained , the results are high .	The results are high when comparable flow rates can be maintained .
  It is the seat of Zerendi District in Akmola Region .	It is the seat of the district of Zerendi in Akmola region .

• Loss: CachedMultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim",
      "mini_batch_size": 48,
      "gather_across_devices": false
  }
  

glue/mrpc

glue/mrpc

• Dataset: glue/mrpc at bcdcba7
• Size: 2,474 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 10 tokens mean: 27.89 tokens max: 49 tokens	min: 11 tokens mean: 27.81 tokens max: 50 tokens

• Samples:

  sentence1	sentence2
  Amrozi accused his brother , whom he called " the witness " , of deliberately distorting his evidence .	Referring to him as only " the witness " , Amrozi accused his brother of deliberately distorting his evidence .
  They had published an advertisement on the Internet on June 10 , offering the cargo for sale , he added .	On June 10 , the ship 's owners had published an advertisement on the Internet , offering the explosives for sale .
  The stock rose $ 2.11 , or about 11 percent , to close Friday at $ 21.51 on the New York Stock Exchange .	PG & E Corp. shares jumped $ 1.63 or 8 percent to $ 21.03 on the New York Stock Exchange on Friday .

• Loss: CachedMultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim",
      "mini_batch_size": 48,
      "gather_across_devices": false
  }
  

glue/qqp

glue/qqp

• Dataset: glue/qqp at bcdcba7
• Size: 61,498 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 6 tokens mean: 13.63 tokens max: 43 tokens	min: 6 tokens mean: 13.74 tokens max: 43 tokens

• Samples:

  sentence1	sentence2
  "Is it possible to never get ""over"" someone?"	Is it possible to never get over someone?
  Does my college major matter?	Does college degrees really matter?
  What is the importance of money in ones life?	Why money is important in our life?

• Loss: CachedMultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim",
      "mini_batch_size": 48,
      "gather_across_devices": false
  }
  

fever-evidence-related

fever-evidence-related

• Dataset: fever-evidence-related at 14aba00
• Size: 117,818 training samples
• Columns: sentence1 and sentence2
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2
  type	string	string
  details	min: 6 tokens mean: 13.69 tokens max: 29 tokens	min: 35 tokens mean: 187.03 tokens max: 512 tokens

• Samples:

  sentence1	sentence2
  The Amazing Spider-Man 2 is a movie.	Lieutenant Aung San Thuriya Thuya Thai Con -LRB- aka -RRB- Lieutenant Thai Con -LRB- serial no : -LRB- Kyee -RRB- 7288 -RRB- was the only Chin soldier to have received both Thuya and Aung San Thuriya Medal , the highest and most prestigious award for gallantry and bravery in the face of the enemy that can be awarded to members of Myanmar Armed Forces .. Lieutenant. Lieutenant. Chin. Chin. Aung San Thuriya. Aung San Thuriya. Thuya. Thuya. He won the award at the Raid on U Seikkein Monastery at Battle of Insein near during the fight against of Karen insurgency in Myanmar .. Battle of Insein. Battle of Insein. Karen. Karen people. The raid on U Seikkein Monastery can be regarded as one of the most prominent part of Battle of Insein .. Battle of Insein. Battle of Insein. The structural pattern of U Sakkein monastery was something like a systematically built fortress .. It was built on a hillock surrounded by other monasteries .. The Karen insurgents were using these monasteries on the hil...
  Muhammad was Catholic.	Lamp Unto My Feet was an American ecumenical religious program that was produced by CBS Television and broadcast from 1948 to 1979 on Sunday mornings .. CBS Television. CBS Television. ecumenical. ecumenical
  Bradley Whitford is an actor that stars in the movie Get Out.	Adem Karapici was an Albanian football player and coach who played for Sportklub Tirane in the 1930s where he won six National Championships .. Sportklub Tirane. KF Tirana. football. football ( soccer ). National Championships. Albanian Superliga. As a coach , he was in charge of Albania national team for five games between 1947 and 1948 .. Albania. Albania. Albania national team. Albania national football team

• Loss: CachedMultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim",
      "mini_batch_size": 48,
      "gather_across_devices": false
  }
  

glue/stsb

glue/stsb

• Dataset: glue/stsb at bcdcba7
• Size: 5,749 training samples
• Columns: sentence1, sentence2, and label
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2	label
  type	string	string	float
  details	min: 6 tokens mean: 10.16 tokens max: 28 tokens	min: 6 tokens mean: 10.12 tokens max: 25 tokens	min: 0.0 mean: 2.23 max: 5.0

• Samples:

  sentence1	sentence2	label
  A plane is taking off.	An air plane is taking off.	5.0
  A man is playing a large flute.	A man is playing a flute.	3.799999952316284
  A man is spreading shreded cheese on a pizza.	A man is spreading shredded cheese on an uncooked pizza.	3.799999952316284

• Loss: CoSENTLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "pairwise_cos_sim"
  }
  

sick/relatedness

sick/relatedness

• Dataset: sick/relatedness
• Size: 4,439 training samples
• Columns: sentence1, sentence2, and label
• Approximate statistics based on the first 1000 samples:

  	sentence1	sentence2	label
  type	string	string	float
  details	min: 6 tokens mean: 12.66 tokens max: 28 tokens	min: 5 tokens mean: 12.46 tokens max: 38 tokens	min: 1.0 mean: 3.41 max: 5.0

• Samples:

  sentence1	sentence2	label
  A group of kids is playing in a yard and an old man is standing in the background	A group of boys in a yard is playing and a man is standing in the background	4.5
  A group of children is playing in the house and there is no man standing in the background	A group of kids is playing in a yard and an old man is standing in the background	3.200000047683716
  The young boys are playing outdoors and the man is smiling nearby	The kids are playing outdoors near a man with a smile	4.699999809265137

• Loss: CoSENTLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "pairwise_cos_sim"
  }
  

sts-companion

sts-companion

• Dataset: sts-companion at fd8beff
• Size: 4,760 training samples
• Columns: label, sentence1, and sentence2
• Approximate statistics based on the first 1000 samples:

  	label	sentence1	sentence2
  type	float	string	string
  details	min: 0.0 mean: 3.09 max: 5.0	min: 5 tokens mean: 18.91 tokens max: 91 tokens	min: 5 tokens mean: 17.28 tokens max: 83 tokens

• Samples:

  label	sentence1	sentence2
  1.6	this lus in this frame refer to biological entities labeled by the fe organism. an organism is described as something that can be alive, or have naturally occuring biological processes and functions, however the concept of life is often used metaphorically for non-organic entities which resemble or act as if they have organic life.	living things collectively;
  3.8	Washington's Economic Boom, Financed by You Real life "Hunger Games"	Washington?s Economic Boom, Financed by You
  4.4	Knowledge of foreign languages is accepted as a necessary precursor to mobility.	It is accepted that knowledge of foreign languages is a necessary precondition to mobility.

• Loss: CoSENTLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "pairwise_cos_sim"
  }
  

tomaarsen/natural-questions-hard-negatives

tomaarsen/natural-questions-hard-negatives

• Dataset: tomaarsen/natural-questions-hard-negatives at 52dfa09
• Size: 96,658 training samples
• Columns: query, answer, negative_1, negative_2, negative_3, negative_4, and negative_5
• Approximate statistics based on the first 1000 samples:

  	query	answer	negative_1	negative_2	negative_3	negative_4	negative_5
  type	string	string	string	string	string	string	string
  details	min: 10 tokens mean: 12.52 tokens max: 26 tokens	min: 17 tokens mean: 137.81 tokens max: 512 tokens	min: 23 tokens mean: 143.36 tokens max: 512 tokens	min: 13 tokens mean: 142.38 tokens max: 512 tokens	min: 15 tokens mean: 145.93 tokens max: 512 tokens	min: 19 tokens mean: 145.76 tokens max: 512 tokens	min: 19 tokens mean: 141.95 tokens max: 512 tokens

• Samples:

  query	answer	negative_1	negative_2	negative_3	negative_4	negative_5
  when did richmond last play in a preliminary final	Richmond Football Club Richmond began 2017 with 5 straight wins, a feat it had not achieved since 1995. A series of close losses hampered the Tigers throughout the middle of the season, including a 5-point loss to the Western Bulldogs, 2-point loss to Fremantle, and a 3-point loss to the Giants. Richmond ended the season strongly with convincing victories over Fremantle and St Kilda in the final two rounds, elevating the club to 3rd on the ladder. Richmond's first final of the season against the Cats at the MCG attracted a record qualifying final crowd of 95,028; the Tigers won by 51 points. Having advanced to the first preliminary finals for the first time since 2001, Richmond defeated Greater Western Sydney by 36 points in front of a crowd of 94,258 to progress to the Grand Final against Adelaide, their first Grand Final appearance since 1982. The attendance was 100,021, the largest crowd to a grand final since 1986. The Crows led at quarter time and led by as many as 13, but the Tig...	Brisbane Bears However, the club was still struggling off-field. One of the Bears' biggest problems was its lack of support (both on and off the field) in Melbourne, the location of most of its away matches. In mid-1996, the struggling Fitzroy Football Club collapsed due to financial pressures and was seeking to merge its assets with another club. When a merger with North Melbourne in forming the North Fitzroy Kangaroos failed to win the support of the other AFL clubs, a deal for a merger was done between Fitzroy and the Bears. The new team was known as the Brisbane Lions, based at the Gabba, with Northey as the coach of the merged club. As such, the history of the Brisbane Bears as an individual entity ended after the 1996 season, with ten seasons of competition and the third-place finish in 1996 as its best performance. The Bears last match as a separate entity was a preliminary final on Saturday 21 September 1996 at the Melbourne Cricket Ground (where the Bears played their first VF...	Virginia Tech–West Virginia football rivalry Virginia Tech held the trophy in six of the nine years in which it was contested, but West Virginia leads the all-time series 28–23–1. The last game was played on September 3, 2017 at FedEx Field in Landover, MD; Virginia Tech won 31–24.	Martin Truex Jr. To start off the Round of 12, Truex scored his 6th win of the season at Charlotte after leading 91 out of 334 laps to secure a spot for the Round of 8. Just two weeks later, he scored another win at Kansas despite having a restart violation early in the race.	Adelaide Football Club Star midfielder for many years Patrick Dangerfield left the club at the end of the 2015 season (a season in which he won the club's best and fairest) and Don Pyke, a former premiership player and assistant coach with West Coast who had also been an assistant coach at Adelaide from 2005 to 2006, was appointed Adelaide's senior coach for at least three years.[9] Adelaide was widely tipped to slide out of the finals in 2016[27][28][29] but the Crows proved to be one of the successes of the season, comfortably qualifying for a home elimination final and defeating North Melbourne by 62 points, before being eliminated the next week by eventual beaten grand finalists, Sydney in the semi-finals. The club had a dominant 2017 season, winning their opening six games and never falling below second place for the entire season. Adelaide claimed their second McClelland Trophy as minor premiers.[30] The Adelaide Crows entered the 2017 finals series as favourites for the premiers...	Battle of Appomattox Court House The Battle of Appomattox Court House (Virginia, U.S.), fought on the morning of April 9, 1865, was one of the last battles of the American Civil War (1861–1865). It was the final engagement of Confederate States Army General-in-Chief, Robert E. Lee, and his Army of Northern Virginia before it surrendered to the Union Army of the Potomac under the Commanding General of the United States, Ulysses S. Grant. Lee, having abandoned the Confederate capital of Richmond, Virginia, after the nine and one-half month Siege of Petersburg and Richmond, retreated west, hoping to join his army with the remaining Confederate forces in North Carolina, the Army of Tennessee under Gen. Joseph E. Johnston. Union infantry and cavalry forces under Gen. Philip Sheridan pursued and cut off the Confederates' retreat at the central Virginia village of Appomattox Court House. Lee launched a last-ditch attack to break through the Union forces to his front, assuming the Union forc...
  who sang what in the world's come over you	Jack Scott (singer) At the beginning of 1960, Scott again changed record labels, this time to Top Rank Records.[1] He then recorded four Billboard Hot 100 hits – "What in the World's Come Over You" (#5), "Burning Bridges" (#3) b/w "Oh Little One" (#34), and "It Only Happened Yesterday" (#38).[1] "What in the World's Come Over You" was Scott's second gold disc winner.[6] Scott continued to record and perform during the 1960s and 1970s.[1] His song "You're Just Gettin' Better" reached the country charts in 1974.[1] In May 1977, Scott recorded a Peel session for BBC Radio 1 disc jockey, John Peel.	Lover, You Should've Come Over "Lover, You Should've Come Over" is the seventh track on Jeff Buckley's album Grace. Inspired by the ending of the relationship between Buckley and Rebecca Moore,[1] it concerns the despondency of a young man growing older, finding that his actions represent a perspective he feels that he should have outgrown. Biographer and critic David Browne describes the lyrics as "confused and confusing" and the music as "a languid beauty."[1]	It's Christmas (All Over The World) "It's Christmas (All Over The World)" is a song recorded by Scottish singer Sheena Easton. It was released in November 1985 as the theme song from the soundtrack of Santa Claus: The Movie. The song was written by Bill House and John Hobbs.	The End of the World (Skeeter Davis song) "The End of the World" is a country pop song written by Arthur Kent and Sylvia Dee, for American singer Skeeter Davis. It had success in the 1960s and spawned many covers.	Israel Kamakawiwoʻole His voice became famous outside Hawaii when his album Facing Future was released in 1993. His medley of "Somewhere Over the Rainbow/What a Wonderful World" was released on his albums Ka ʻAnoʻi and Facing Future. It was subsequently featured in several films, television programs, and television commercials.	Make the World Go Away "Make the World Go Away'" is a country-popular music song composed by Hank Cochran. It has become a Top 40 popular success three times: for Timi Yuro (during 1963), for Eddy Arnold (1965), and for the brother-sister duo Donny and Marie Osmond (1975). The original version of the song was recorded by Ray Price during 1963. It has remained a country crooner standard ever since.
  who produces the most wool in the world	Wool Global wool production is about 2 million tonnes per year, of which 60% goes into apparel. Wool comprises ca 3% of the global textile market, but its value is higher owing to dying and other modifications of the material.[1] Australia is a leading producer of wool which is mostly from Merino sheep but has been eclipsed by China in terms of total weight.[30] New Zealand (2016) is the third-largest producer of wool, and the largest producer of crossbred wool. Breeds such as Lincoln, Romney, Drysdale, and Elliotdale produce coarser fibers, and wool from these sheep is usually used for making carpets.	Baa, Baa, Black Sheep As with many nursery rhymes, attempts have been made to find origins and meanings for the rhyme, most which have no corroborating evidence.[1] Katherine Elwes Thomas in The Real Personages of Mother Goose (1930) suggested that the rhyme referred to resentment at the heavy taxation on wool.[5] This has particularly been taken to refer to the medieval English "Great" or "Old Custom" wool tax of 1275, which survived until the fifteenth century.[1] More recently the rhyme has been connected to the slave trade, particularly in the southern United States.[6] This explanation was advanced during debates over political correctness and the use and reform of nursery rhymes in the 1980s, but has no supporting historical evidence.[7] Rather than being negative, the wool of black sheep may have been prized as it could be made into dark cloth without dyeing.[6]	Raymond Group Raymond Group is an Indian branded fabric and fashion retailer, incorporated in 1925. It produces suiting fabric, with a capacity of producing 31 million meters of wool and wool-blended fabrics. Gautam Singhania is the chairman and managing director of the Raymond group.[3]	Silk in the Indian subcontinent Silk in the Indian subcontinent is a luxury good. In India, about 97% of the raw mulberry silk is produced in the five Indian states of Karnataka, Andhra Pradesh, Tamil Nadu, West Bengal and Jammu and Kashmir.[1] Mysore and North Bangalore, the upcoming site of a US$20 million "Silk City", contribute to a majority of silk production.[2] Another emerging silk producer is Tamil Nadu where mulberry cultivation is concentrated in Salem, Erode and Dharmapuri districts. Hyderabad, Andhra Pradesh and Gobichettipalayam, Tamil Nadu were the first locations to have automated silk reeling units.[3] yoyo quantity:::	F. W. Woolworth Company The two Woolworth brothers pioneered and developed merchandising, direct purchasing, sales, and customer service practices commonly used today. Despite its growing to be one of the largest retail chains in the world through most of the 20th century, increased competition led to its decline beginning in the 1980s, while its sporting goods division grew. The chain went out of business in July 1997, when the company decided to focus primarily on sporting goods and renamed itself Venator Group. By 2001, the company focused exclusively on the sporting goods market, changing its name to the present Foot Locker, Inc., changing its ticker symbol from its familiar Z in 2003 to its present ticker (NYSE: FL).	Silk Silk's absorbency makes it comfortable to wear in warm weather and while active. Its low conductivity keeps warm air close to the skin during cold weather. It is often used for clothing such as shirts, ties, blouses, formal dresses, high fashion clothes, lining, lingerie, pajamas, robes, dress suits, sun dresses and Eastern folk costumes. For practical use, silk is excellent as clothing that protects from many biting insects that would ordinarily pierce clothing, such as mosquitoes and horseflies.

• Loss: CachedMultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim",
      "mini_batch_size": 32,
      "gather_across_devices": false
  }
  

tomaarsen/gooaq-hard-negatives

tomaarsen/gooaq-hard-negatives

• Dataset: tomaarsen/gooaq-hard-negatives at 87594a1
• Size: 500,000 training samples
• Columns: question, answer, negative_1, negative_2, negative_3, negative_4, and negative_5
• Approximate statistics based on the first 1000 samples:

  	question	answer	negative_1	negative_2	negative_3	negative_4	negative_5
  type	string	string	string	string	string	string	string
  details	min: 8 tokens mean: 11.99 tokens max: 22 tokens	min: 15 tokens mean: 57.82 tokens max: 138 tokens	min: 14 tokens mean: 57.42 tokens max: 125 tokens	min: 14 tokens mean: 56.84 tokens max: 120 tokens	min: 14 tokens mean: 57.08 tokens max: 155 tokens	min: 15 tokens mean: 57.54 tokens max: 129 tokens	min: 14 tokens mean: 58.23 tokens max: 195 tokens

• Samples:

  question	answer	negative_1	negative_2	negative_3	negative_4	negative_5
  is toprol xl the same as metoprolol?	Metoprolol succinate is also known by the brand name Toprol XL. It is the extended-release form of metoprolol. Metoprolol succinate is approved to treat high blood pressure, chronic chest pain, and congestive heart failure.	Secondly, metoprolol and metoprolol ER have different brand-name equivalents: Brand version of metoprolol: Lopressor. Brand version of metoprolol ER: Toprol XL.	Pill with imprint 1 is White, Round and has been identified as Metoprolol Tartrate 25 mg.	Interactions between your drugs No interactions were found between Allergy Relief and metoprolol. This does not necessarily mean no interactions exist. Always consult your healthcare provider.	Metoprolol is a type of medication called a beta blocker. It works by relaxing blood vessels and slowing heart rate, which improves blood flow and lowers blood pressure. Metoprolol can also improve the likelihood of survival after a heart attack.	Metoprolol starts to work after about 2 hours, but it can take up to 1 week to fully take effect. You may not feel any different when you take metoprolol, but this doesn't mean it's not working. It's important to keep taking your medicine.
  are you experienced cd steve hoffman?	The Are You Experienced album was apparently mastered from the original stereo UK master tapes (according to Steve Hoffman - one of the very few who has heard both the master tapes and the CDs produced over the years). ... The CD booklets were a little sparse, but at least they stayed true to the album's original design.	I Saw the Light. Showcasing the unique talent and musical influence of country-western artist Hank Williams, this candid biography also sheds light on the legacy of drug abuse and tormented relationships that contributes to the singer's legend.	(Read our ranking of his top 10.) And while Howard dresses the part of director, any notion of him as a tortured auteur or dictatorial taskmasker — the clichés of the Hollywood director — are tossed aside. He's very nice.	He was a music star too. Where're you people born and brought up? We 're born and brought up here in Anambra State at Nkpor town, near Onitsha.	At the age of 87 he has now retired from his live shows and all the traveling involved. And although he still picks up his Martin Guitar and does a show now and then, his life is now devoted to writing his memoirs.	The owner of the mysterious voice behind all these videos is a man who's seen a lot, visiting a total of 56 intimate celebrity spaces over the course of five years. His name is Joe Sabia — that's him in the photo — and he's currently the VP of creative development at Condé Nast Entertainment.
  how are babushka dolls made?	Matryoshka dolls are made of wood from lime, balsa, alder, aspen, and birch trees; lime is probably the most common wood type. ... After cutting, the trees are stripped of most of their bark, although a few inner rings of bark are left to bind the wood and keep it from splitting.	A quick scan of the auction and buy-it-now listings on eBay finds porcelain doll values ranging from around $5 and $10 to several thousand dollars or more but no dolls listed above $10,000.	Japanese dolls are called as ningyō in Japanese and literally translates to 'human form'.	Matyoo: All Fresno Girl dolls come just as real children are born.	As of September 2016, there are over 100 characters. The main toy line includes 13-inch Dolls, the mini-series, and a variety of mini play-sets and plush dolls as well as Lalaloopsy Littles, smaller siblings of the 13-inch dolls. A spin-off known as "Lala-Oopsies" came out in late 2012.	LOL dolls are little baby dolls that come wrapped inside a surprise toy ball. Each ball has layers that contain stickers, secret messages, mix and match accessories–and finally–a doll. ... The doll on the ball is almost never the doll inside. Dolls are released in series, so not every doll is available all the time.

• Loss: CachedMultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim",
      "mini_batch_size": 32,
      "gather_across_devices": false
  }
  

bclavie/msmarco-500k-triplets

bclavie/msmarco-500k-triplets

• Dataset: bclavie/msmarco-500k-triplets at cb1a85c
• Size: 500,000 training samples
• Columns: query, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	query	positive	negative
  type	string	string	string
  details	min: 4 tokens mean: 9.31 tokens max: 31 tokens	min: 20 tokens mean: 82.19 tokens max: 216 tokens	min: 18 tokens mean: 78.99 tokens max: 209 tokens

• Samples:

  query	positive	negative
  the most important factor that influences k+ secretion is __________.	The regulation of K+ distribution between the intracellular and extracellular space is referred to as internal K+ balance. The most important factors regulating this movement under normal conditions are insulin and catecholamines (1).	They are both also important for secretion and flow of bile: 1 Cholecystokinin: The name of this hormone describes its effect on the biliary system-cholecysto = gallbladder and kinin = movement. 2 Secretin: This hormone is secreted in response to acid in the duodenum.
  how much did the mackinac bridge cost to build	The cost to design the project was $3,500,000 (Steinman Company). The cost to construct the bridge was $70, 268,500. Two primary contractors were hired to build the bridge: American Bridge for superstructure - $44,532,900; and Merritt-Chapman and Scott of New York for the foundations - $25,735,600.	When your child needs a dental tooth bridge, you need to know the average cost so you can factor the price into your budget. Several factors affect the price of a bridge, which can run between $700 to $1,500 per tooth. If you have insurance or your child is covered by Medicaid, part of the cost may be covered.
  when do concussion symptoms appear	Then you can get advice on what to do next. For milder symptoms, the doctor may recommend rest and ask you to watch your child closely for changes, such as a headache that gets worse. Symptoms of a concussion don't always show up right away, and can develop within 24 to 72 hours after an injury.	Concussion: A traumatic injury to soft tissue, usually the brain, as a result of a violent blow, shaking, or spinning. A brain concussion can cause immediate but temporary impairment of brain functions, such as thinking, vision, equilibrium, and consciousness. After a person has had a concussion, he or she is at increased risk for recurrence. Moreover, after a person has several concussions, less of a blow can cause injury, and the person can require more time to recover.

• Loss: CachedMultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim",
      "mini_batch_size": 32,
      "gather_across_devices": false
  }
  

sentence-transformers/all-nli

sentence-transformers/all-nli

• Dataset: sentence-transformers/all-nli at d482672
• Size: 500,000 training samples
• Columns: anchor, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	anchor	positive	negative
  type	string	string	string
  details	min: 7 tokens mean: 10.46 tokens max: 46 tokens	min: 6 tokens mean: 12.91 tokens max: 40 tokens	min: 5 tokens mean: 13.49 tokens max: 51 tokens

• Samples:

  anchor	positive	negative
  A person on a horse jumps over a broken down airplane.	A person is outdoors, on a horse.	A person is at a diner, ordering an omelette.
  Children smiling and waving at camera	There are children present	The kids are frowning
  A boy is jumping on skateboard in the middle of a red bridge.	The boy does a skateboarding trick.	The boy skates down the sidewalk.

• Loss: CachedMultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim",
      "mini_batch_size": 32,
      "gather_across_devices": false
  }
  

sentence-transformers/msmarco-co-condenser-margin-mse-sym-mnrl-mean-v1

sentence-transformers/msmarco-co-condenser-margin-mse-sym-mnrl-mean-v1

• Dataset: sentence-transformers/msmarco-co-condenser-margin-mse-sym-mnrl-mean-v1 at 84ed2d3
• Size: 500,000 training samples
• Columns: query, positive, and negative
• Approximate statistics based on the first 1000 samples:

  	query	positive	negative
  type	string	string	string
  details	min: 5 tokens mean: 9.87 tokens max: 16 tokens	min: 44 tokens mean: 85.25 tokens max: 211 tokens	min: 18 tokens mean: 81.18 tokens max: 227 tokens

• Samples:

  query	positive	negative
  what are the liberal arts?	liberal arts. 1. the academic course of instruction at a college intended to provide general knowledge and comprising the arts, humanities, natural sciences, and social sciences, as opposed to professional or technical subjects.	Rather than preparing students for a specific career, liberal arts programs focus on cultural literacy and hone communication and analytical skills. They often cover various disciplines, ranging from the humanities to social sciences. 1 Program Levels in Liberal Arts: Associate degree, Bachelor's degree, Master's degree.
  what are the liberal arts?	liberal arts. 1. the academic course of instruction at a college intended to provide general knowledge and comprising the arts, humanities, natural sciences, and social sciences, as opposed to professional or technical subjects.	Artes Liberales: The historical basis for the modern liberal arts, consisting of the trivium (grammar, logic, and rhetoric) and the quadrivium (arithmetic, geometry, astronomy, and music). General Education: That part of a liberal education curriculum that is shared by all students.
  what are the liberal arts?	liberal arts. 1. the academic course of instruction at a college intended to provide general knowledge and comprising the arts, humanities, natural sciences, and social sciences, as opposed to professional or technical subjects.	Liberal Arts. Upon completion of the Liberal Arts degree, students will be able to express ideas in coherent, creative, and appropriate forms, orally and in writing. Students will be able to apply their reading abilities in order to interconnect an understanding of resources to academic, professional, and personal interests.

• Loss: CachedMultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim",
      "mini_batch_size": 32,
      "gather_across_devices": false
  }
  

sentence-transformers/gooaq

sentence-transformers/gooaq

• Dataset: sentence-transformers/gooaq at b089f72
• Size: 500,000 training samples
• Columns: question and answer
• Approximate statistics based on the first 1000 samples:

  	question	answer
  type	string	string
  details	min: 8 tokens mean: 12.19 tokens max: 22 tokens	min: 13 tokens mean: 58.34 tokens max: 124 tokens

• Samples:

  question	answer
  is toprol xl the same as metoprolol?	Metoprolol succinate is also known by the brand name Toprol XL. It is the extended-release form of metoprolol. Metoprolol succinate is approved to treat high blood pressure, chronic chest pain, and congestive heart failure.
  are you experienced cd steve hoffman?	The Are You Experienced album was apparently mastered from the original stereo UK master tapes (according to Steve Hoffman - one of the very few who has heard both the master tapes and the CDs produced over the years). ... The CD booklets were a little sparse, but at least they stayed true to the album's original design.
  how are babushka dolls made?	Matryoshka dolls are made of wood from lime, balsa, alder, aspen, and birch trees; lime is probably the most common wood type. ... After cutting, the trees are stripped of most of their bark, although a few inner rings of bark are left to bind the wood and keep it from splitting.

• Loss: CachedMultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim",
      "mini_batch_size": 32,
      "gather_across_devices": false
  }
  

sentence-transformers/natural-questions

sentence-transformers/natural-questions

• Dataset: sentence-transformers/natural-questions at f9e894e
• Size: 100,231 training samples
• Columns: query and answer
• Approximate statistics based on the first 1000 samples:

  	query	answer
  type	string	string
  details	min: 10 tokens mean: 12.47 tokens max: 23 tokens	min: 17 tokens mean: 138.28 tokens max: 512 tokens

• Samples:

  query	answer
  when did richmond last play in a preliminary final	Richmond Football Club Richmond began 2017 with 5 straight wins, a feat it had not achieved since 1995. A series of close losses hampered the Tigers throughout the middle of the season, including a 5-point loss to the Western Bulldogs, 2-point loss to Fremantle, and a 3-point loss to the Giants. Richmond ended the season strongly with convincing victories over Fremantle and St Kilda in the final two rounds, elevating the club to 3rd on the ladder. Richmond's first final of the season against the Cats at the MCG attracted a record qualifying final crowd of 95,028; the Tigers won by 51 points. Having advanced to the first preliminary finals for the first time since 2001, Richmond defeated Greater Western Sydney by 36 points in front of a crowd of 94,258 to progress to the Grand Final against Adelaide, their first Grand Final appearance since 1982. The attendance was 100,021, the largest crowd to a grand final since 1986. The Crows led at quarter time and led by as many as 13, but the Tig...
  who sang what in the world's come over you	Jack Scott (singer) At the beginning of 1960, Scott again changed record labels, this time to Top Rank Records.[1] He then recorded four Billboard Hot 100 hits – "What in the World's Come Over You" (#5), "Burning Bridges" (#3) b/w "Oh Little One" (#34), and "It Only Happened Yesterday" (#38).[1] "What in the World's Come Over You" was Scott's second gold disc winner.[6] Scott continued to record and perform during the 1960s and 1970s.[1] His song "You're Just Gettin' Better" reached the country charts in 1974.[1] In May 1977, Scott recorded a Peel session for BBC Radio 1 disc jockey, John Peel.
  who produces the most wool in the world	Wool Global wool production is about 2 million tonnes per year, of which 60% goes into apparel. Wool comprises ca 3% of the global textile market, but its value is higher owing to dying and other modifications of the material.[1] Australia is a leading producer of wool which is mostly from Merino sheep but has been eclipsed by China in terms of total weight.[30] New Zealand (2016) is the third-largest producer of wool, and the largest producer of crossbred wool. Breeds such as Lincoln, Romney, Drysdale, and Elliotdale produce coarser fibers, and wool from these sheep is usually used for making carpets.

• Loss: CachedMultipleNegativesRankingLoss with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim",
      "mini_batch_size": 32,
      "gather_across_devices": false
  }
  

Training Hyperparameters

Non-Default Hyperparameters

• per_device_train_batch_size: 2048
• weight_decay: 1e-06
• num_train_epochs: 2
• warmup_ratio: 0.1
• fp16: True
• gradient_checkpointing: True

All Hyperparameters

Click to expand

• overwrite_output_dir: False
• do_predict: False
• eval_strategy: no
• prediction_loss_only: True
• per_device_train_batch_size: 2048
• per_device_eval_batch_size: 8
• per_gpu_train_batch_size: None
• per_gpu_eval_batch_size: None
• gradient_accumulation_steps: 1
• eval_accumulation_steps: None
• torch_empty_cache_steps: None
• learning_rate: 5e-05
• weight_decay: 1e-06
• 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: linear
• lr_scheduler_kwargs: {}
• warmup_ratio: 0.1
• warmup_steps: 0
• log_level: passive
• log_level_replica: warning
• log_on_each_node: True
• logging_nan_inf_filter: True
• save_safetensors: True
• save_on_each_node: False
• save_only_model: False
• restore_callback_states_from_checkpoint: False
• no_cuda: False
• use_cpu: False
• use_mps_device: False
• seed: 42
• data_seed: None
• jit_mode_eval: False
• use_ipex: False
• bf16: False
• fp16: 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: False
• resume_from_checkpoint: None
• hub_model_id: None
• hub_strategy: every_save
• hub_private_repo: None
• hub_always_push: False
• hub_revision: None
• gradient_checkpointing: True
• gradient_checkpointing_kwargs: None
• include_inputs_for_metrics: False
• include_for_metrics: []
• eval_do_concat_batches: True
• fp16_backend: auto
• push_to_hub_model_id: None
• push_to_hub_organization: None
• mp_parameters:
• auto_find_batch_size: False
• full_determinism: False
• torchdynamo: None
• ray_scope: last
• ddp_timeout: 1800
• torch_compile: False
• torch_compile_backend: None
• torch_compile_mode: None
• include_tokens_per_second: False
• include_num_input_tokens_seen: False
• neftune_noise_alpha: None
• optim_target_modules: None
• batch_eval_metrics: False
• eval_on_start: False
• use_liger_kernel: False
• liger_kernel_config: None
• eval_use_gather_object: False
• average_tokens_across_devices: False
• prompts: None
• batch_sampler: batch_sampler
• multi_dataset_batch_sampler: proportional
• router_mapping: {}
• learning_rate_mapping: {}

Training Logs

Epoch	Step	Training Loss
0.2626	500	4.2889
0.5252	1000	2.4545
0.7878	1500	2.0409
1.0504	2000	1.992
1.3130	2500	1.9145
1.5756	3000	1.6902
1.8382	3500	1.745

Framework Versions

• Python: 3.12.10
• Sentence Transformers: 5.1.2
• Transformers: 4.53.2
• PyTorch: 2.7.1+cu126
• Accelerate: 1.7.0
• Datasets: 3.6.0
• Tokenizers: 0.21.1

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",
}

CachedMultipleNegativesRankingLoss

@misc{gao2021scaling,
    title={Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup},
    author={Luyu Gao and Yunyi Zhang and Jiawei Han and Jamie Callan},
    year={2021},
    eprint={2101.06983},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}

CoSENTLoss

@article{10531646,
    author={Huang, Xiang and Peng, Hao and Zou, Dongcheng and Liu, Zhiwei and Li, Jianxin and Liu, Kay and Wu, Jia and Su, Jianlin and Yu, Philip S.},
    journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
    title={CoSENT: Consistent Sentence Embedding via Similarity Ranking},
    year={2024},
    doi={10.1109/TASLP.2024.3402087}
}