Model: tomaarsen/sparse-mpnet-base-nq-fresh
Author: tomaarsen
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, mpnet, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:99000, loss:CSRLoss, en, dataset:sentence-transformers/natural-questions, arxiv:1908.10084, base_model:microsoft/mpnet-base, base_model:finetune:microsoft/mpnet-base, model-index, co2_eq_emissions, endpoints_compatible, region:us
Base models (finetune): id: microsoft/mpnet-base
Card metadata: language: en
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:99000, loss:CSRLoss
base_model: microsoft/mpnet-base
widget: source_sentence: what is the difference between uae and saudi arabia
sentences: Monopoly Junior Players take turns in order, with the initial player determined by age before the game: the youngest player goes first. Players are dealt an initial amount Monopoly money depending on the total number of players playing: 20 in a two-player game, 18 in a three-player game or 16 in a four-player game. A typical turn begins with the rolling of the die and the player advancing their token clockwise around the board the corresponding number of spaces. When the player lands on an unowned space they must purchase the space from the bank for the amount indicated on the board, and places a sold sign on the coloured band at the top of the space to denote ownership. If a player lands on a space owned by an opponent the player pays the opponent rent in the amount written on the board. If the opponent owns both properties of the same colour the rent is doubled., Saudi Arabia–United Arab Emirates relations However, the UAE and Saudi Arabia continue to take somewhat differing stances on regional conflicts such the Yemeni Civil War, where the UAE opposes Al-Islah, and supports the Southern Movement, which has fought against Saudi-backed forces, and the Syrian Civil War, where the UAE has disagreed with Saudi support for Islamist movements.[4], Governors of states of India The governors and lieutenant-governors are appointed by the President for a term of five years., source_sentence: who came up with the seperation of powers
sentences: Separation of powers Aristotle first mentioned the idea of a "mixed government" or hybrid government in his work Politics where he drew upon many of the constitutional forms in the city-states of Ancient Greece. In the Roman Republic, the Roman Senate, Consuls and the Assemblies showed an example of a mixed government according to Polybius (Histories, Book 6, 11â€“13)., Economy of New Zealand New Zealand's diverse market economy has a sizable service sector, accounting for 63% of all GDP activity in 2013.[17] Large scale manufacturing industries include aluminium production, food processing, metal fabrication, wood and paper products. Mining, manufacturing, electricity, gas, water, and waste services accounted for 16.5% of GDP in 2013.[17] The primary sector continues to dominate New Zealand's exports, despite accounting for 6.5% of GDP in 2013.[17], John Dalton John Dalton FRS (/ˈdɔːltən/; 6 September 1766 – 27 July 1844) was an English chemist, physicist, and meteorologist. He is best known for proposing the modern atomic theory and for his research into colour blindness, sometimes referred to as Daltonism in his honour., source_sentence: who was the first president of indian science congress meeting held in kolkata in 1914
sentences: Nobody to Blame "Nobody to Blame" is a song recorded by American country music artist Chris Stapleton. The song was released in November 2015 as the singer's third single overall. Stapleton co-wrote the song with Barry Bales and Ronnie Bowman. It became Stapleton's first top 10 single on the US Country Airplay chart.[2] "Nobody to Blame" won Song of the Year at the ACM Awards.[3], Indian Science Congress Association The first meeting of the congress was held from 15â€“17 January 1914 at the premises of the Asiatic Society, Calcutta. Honorable justice Sir Ashutosh Mukherjee, the then Vice Chancellor of the University of Calcutta presided over the Congress. One hundred and five scientists from different parts of India and abroad attended it. Altogether 35 papers under 6 different sections, namely Botany, Chemistry, Ethnography, Geology, Physics and Zoology were presented., New Soul "New Soul" is a song by the French-Israeli R&B/soul singer Yael Naïm, from her self-titled second album. The song gained popularity in the United States following its use by Apple in an advertisement for their MacBook Air laptop. In the song Naïm sings of being a new soul who has come into the world to learn "a bit 'bout how to give and take." However, she finds that things are harder than they seem. The song, also featured in the films The House Bunny and Wild Target, features a prominent "la la la la" section as its hook. It remains Naïm's biggest hit single in the U.S. to date, and her only one to reach the Top 40 of the Billboard Hot 100., source_sentence: who wrote get over it by the eagles
sentences: Get Over It (Eagles song) "Get Over It" is a song by the Eagles released as a single after a fourteen-year breakup. It was also the first song written by bandmates Don Henley and Glenn Frey when the band reunited. "Get Over It" was played live for the first time during their Hell Freezes Over tour in 1994. It returned the band to the U.S. Top 40 after a fourteen-year absence, peaking at No. 31 on the Billboard Hot 100 chart. It also hit No. 4 on the Billboard Mainstream Rock Tracks chart. The song was not played live by the Eagles after the "Hell Freezes Over" tour in 1994. It remains the group's last Top 40 hit in the U.S., Pokhran-II In 1980, the general elections marked the return of Indira Gandhi and the nuclear program began to gain momentum under Ramanna in 1981. Requests for additional nuclear tests were continued to be denied by the government when Prime Minister Indira Gandhi saw Pakistan began exercising the brinkmanship, though the nuclear program continued to advance.[7] Initiation towards hydrogen bomb began as well as the launch of the missile programme began under Late president Dr. Abdul Kalam, who was then an aerospace engineer.[7], R. Budd Dwyer Robert Budd Dwyer (November 21, 1939 – January 22, 1987) was the 30th State Treasurer of the Commonwealth of Pennsylvania. He served from 1971 to 1981 as a Republican member of the Pennsylvania State Senate representing the state's 50th district. He then served as the 30th Treasurer of Pennsylvania from January 20, 1981, until his death. On January 22, 1987, Dwyer called a news conference in the Pennsylvania state capital of Harrisburg where he killed himself in front of the gathered reporters, by shooting himself in the mouth with a .357 Magnum revolver.[4] Dwyer's suicide was broadcast later that day to a wide television audience across Pennsylvania., source_sentence: who is cornelius in the book of acts
sentences: Wonderful Tonight "Wonderful Tonight" is a ballad written by Eric Clapton. It was included on Clapton's 1977 album Slowhand. Clapton wrote the song about Pattie Boyd.[1] The female vocal harmonies on the song are provided by Marcella Detroit (then Marcy Levy) and Yvonne Elliman., Joe Ranft Ranft reunited with Lasseter when he was hired by Pixar in 1991 as their head of story.[1] There he worked on all of their films produced up to 2006; this included Toy Story (for which he received an Academy Award nomination) and A Bug's Life, as the co-story writer and others as story supervisor. His final film was Cars. He also voiced characters in many of the films, including Heimlich the caterpillar in A Bug's Life, Wheezy the penguin in Toy Story 2, and Jacques the shrimp in Finding Nemo.[1], Cornelius the Centurion Cornelius (Greek: Κορνήλιος) was a Roman centurion who is considered by Christians to be one of the first Gentiles to convert to the faith, as related in Acts of the Apostles.
datasets: sentence-transformers/natural-questions
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10, cosine_recall@1, cosine_recall@3, cosine_recall@5, cosine_recall@10, cosine_ndcg@10, cosine_mrr@10, cosine_map@100
co2_eq_emissions: emissions: 113.44094173179047
energy_consumed: 0.29184553136281904
source: codecarbon
training_type: fine-tuning
on_cloud: no
cpu_model: 13th Gen Intel(R) Core(TM) i7-13700K
ram_total_size: 31.777088165283203
hours_used: 0.773
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: SparseEncoder based on microsoft/mpnet-base
results: task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoMSMARCO 16
type: NanoMSMARCO_16
metrics: type: cosine_accuracy@1
value: 0.1
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.26
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.36
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.5
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.1
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.08666666666666666
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.07200000000000001
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.05000000000000001
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.1
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.26
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.36
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.5
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.272077335852507
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.20234920634920633
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.21758364304569
name: Cosine Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNFCorpus 16
type: NanoNFCorpus_16
metrics: type: cosine_accuracy@1
value: 0.08
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.14
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.24
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.32
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.08
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.05999999999999999
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.08
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.05
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.005993249911183041
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.009403252754209558
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.013285393478414642
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.01646720008819819
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.06095056479011788
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.14072222222222222
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.015310893897400863
name: Cosine Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNQ 16
type: NanoNQ_16
metrics: type: cosine_accuracy@1
value: 0.18
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.42
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.54
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.64
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.18
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.13999999999999999
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.10800000000000003
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.064
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.18
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.4
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.5
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.6
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.3867151912670764
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.3266904761904762
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.3250246379519026
name: Cosine Map@100
verified: no, task: type: sparse-nano-beir
name: Sparse Nano BEIR
dataset: name: NanoBEIR mean 16
type: NanoBEIR_mean_16
metrics: type: cosine_accuracy@1
value: 0.12
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.2733333333333334
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.38000000000000006
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.48666666666666664
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.12
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.09555555555555555
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.08666666666666668
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.05466666666666667
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.09533108330372768
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.2231344175847365
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.29109513115947155
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.3721557333627327
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.2399143639699004
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.22325396825396826
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.18597305829833113
name: Cosine Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoMSMARCO 32
type: NanoMSMARCO_32
metrics: type: cosine_accuracy@1
value: 0.18
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.26
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.36
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.56
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.18
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.08666666666666666
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.07200000000000001
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.05600000000000001
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.18
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.26
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.36
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.56
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.33109644128066057
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.2634444444444444
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.27935469743863556
name: Cosine Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNFCorpus 32
type: NanoNFCorpus_32
metrics: type: cosine_accuracy@1
value: 0.14
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.26
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.28
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.34
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.14
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.11333333333333333
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.09600000000000002
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.007695869325666863
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.012313937822266688
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.01702903494334016
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.024165659145052122
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.10225707780728845
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.2055238095238095
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.022577551502700435
name: Cosine Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNQ 32
type: NanoNQ_32
metrics: type: cosine_accuracy@1
value: 0.32
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.46
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.58
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.68
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.32
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.15333333333333332
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.11600000000000002
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.068
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.31
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.42
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.53
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.63
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.4603957123337682
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.4211904761904762
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.41127594932176303
name: Cosine Map@100
verified: no, task: type: sparse-nano-beir
name: Sparse Nano BEIR
dataset: name: NanoBEIR mean 32
type: NanoBEIR_mean_32
metrics: type: cosine_accuracy@1
value: 0.21333333333333335
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.32666666666666666
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.4066666666666667
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.5266666666666667
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.21333333333333335
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.11777777777777776
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.09466666666666668
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.07133333333333335
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.16589862310855563
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.23077131260742223
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.30234301164778005
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.4047218863816841
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.29791641047390577
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.2967195767195767
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.23773606608769968
name: Cosine Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoMSMARCO 64
type: NanoMSMARCO_64
metrics: type: cosine_accuracy@1
value: 0.16
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.38
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.46
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.6
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.16
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.12666666666666665
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.09200000000000001
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.06
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.16
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.38
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.46
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.6
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.3545165496884908
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.27796031746031746
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.29572845389453484
name: Cosine Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNFCorpus 64
type: NanoNFCorpus_64
metrics: type: cosine_accuracy@1
value: 0.18
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.26
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.32
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.4
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.18
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.12666666666666665
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.12
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.088
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.009483451025013268
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.012904129822135095
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.036867855927155205
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.04756198673273659
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.11496239522394665
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.24210317460317454
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.0318282871881163
name: Cosine Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNQ 64
type: NanoNQ_64
metrics: type: cosine_accuracy@1
value: 0.44
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.62
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.68
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.72
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.44
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.20666666666666667
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Created: 2025-04-14 13:09:10