AfriXIR dense retriever

This is a sentence-transformers model finetuned from Snowflake/snowflake-arctic-embed-xs on the AfriXIR Passage Retrieval with Hard Negatives dataset. It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for passage retrieval.

Model Details

Model Description

• Model Type: Sentence Transformer
• Base model: Snowflake/snowflake-arctic-embed-xs
• Maximum Sequence Length: 512 tokens
• Output Dimensionality: 384 dimensions
• Similarity Function: Cosine Similarity
• Supported Modality: Text
• Training Dataset:
  • AfriXIR Passage Retrieval with Hard Negatives
• Languages: am, ha, om, sn, so, sw, yo, zu
• License: apache-2.0

Model Sources

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

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'transformer_task': 'feature-extraction', 'modality_config': {'text': {'method': 'forward', 'method_output_name': 'last_hidden_state'}}, 'module_output_name': 'token_embeddings', 'architecture': 'BertModel'})
  (1): Pooling({'embedding_dimension': 384, 'pooling_mode': 'cls', 'include_prompt': True})
  (2): Normalize({})
)

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("nebhailema/afrixir-arctic-embed-xs")
# Run inference
queries = [
    'Majdouline Cherni',
]
documents = [
    'Sakatare \nA 23 Janairu 1, 2015, Cherni an nada shi Sakataren Gwamnati mai kula da Dossier na Shahidai da Raunin juyin juya hali a majalisar ministocin Habib Essid .   Matsayinta ya haɗa da samar da "taimako na ɗabi\'a da na abin duniya" ga iyalai.  A ranar 20 ga Agusta 2016, an nada ta Ministan Matasa da Wasanni a majalisar zartarwar Youssef Chahed .   Tana da alhakin shirya taron matasa don neman dawo da amincewar matasa a cikin cibiyoyin gwamnatin Tunisia.   A ƙarshen 2016, hotuna da yawa da aka sanya a shafin Facebook na ministar an sauya su ta hanyar dijital don rufe gwiwoyinta.',
    "An haifi shahararren soprano 'yar Rasha Anna Netrebko, soprano Evgenia Kononova, cosmonaut Gennady Padalka, Andrei Shkuro mai sabawa ra'ayin juzu'i da motsa jiki mai motsa jiki Inna Zhukova an haife su a Krasnodar. Wani sananne 'yan qasar na Krasnodar ne Girka kwando na duniya Lazaros Papadopoulos, suka yi hijira zuwa ƙasar Girka tare da Pontic Greek iyaye lokacin da yake da shekaru 10 da haihuwa.",
    'Ayyuka \nGordian ta kasance tauraruwa a cikin Rordan Riber na 2012 rabin awa Swahili TV Series mai taken, Siri ya Mtungi, wanda a ciki ta taka rawar "Cheusi". Fim ɗin ya kuma fito da irin su Beatrice Taisamo, Yvonne Cherrie da sauransu.',
]
query_embeddings = model.encode_query(queries)
document_embeddings = model.encode_document(documents)
print(query_embeddings.shape, document_embeddings.shape)
# [1, 384] [3, 384]

# Get the similarity scores for the embeddings
similarities = model.similarity(query_embeddings, document_embeddings)
print(similarities)
# tensor([[0.6797, 0.0984, 0.1407]])

Evaluation

Metrics

Information Retrieval

• Datasets: amharic-test, hausa-test, oromo-test, shona-test, somali-test, swahili-test, yoruba-test, zulu-test, amharic-test, hausa-test, oromo-test, shona-test, somali-test, swahili-test, yoruba-test and zulu-test
• Evaluated with InformationRetrievalEvaluator

Training Details

Training Dataset

AfriXIR Passage Retrieval with Hard Negatives

• Dataset: AfriXIR Passage Retrieval with Hard Negatives
• Size: 313,592 training samples
• Columns: anchor, positive, negative_0, negative_1, negative_2, and negative_3
• Approximate statistics based on the first 100 samples:

  	anchor	positive	negative_0	negative_1	negative_2	negative_3
  type	string	string	string	string	string	string
  modality	text	text	text	text	text	text
  details	min: 3 tokensmean: 12.68 tokensmax: 61 tokens	min: 31 tokensmean: 178.48 tokensmax: 512 tokens	min: 34 tokensmean: 162.53 tokensmax: 512 tokens	min: 31 tokensmean: 175.02 tokensmax: 512 tokens	min: 19 tokensmean: 172.12 tokensmax: 512 tokens	min: 37 tokensmean: 163.61 tokensmax: 512 tokens

• Samples:

  anchor	positive	negative_0	negative_1	negative_2	negative_3
  Aliyu Modibbo Umar	Bayan Fage Dr. Aliyu Modibbo Umar an haife shi a garin Kumo dake jihar Gombe Gombe State a ranar 15 ga watan Nuwamban shekara ta alif 1958.Yayi digiri BA in Journalism a California State University, Long Beach; sannan yayi digiri na biya MA African Studies dakuma digiri na uku PhD Comparative Education duka a jamiar California, Los Angeles (UCLA).	Yawancin sojojin Ali a yanzu sun matsa kaimi wajen ganin Abu Musa al-Ashari mai tsaka-tsaki a matsayin wakilinsu, duk da rashin amincewar Ali kan butulcin siyasar Abu Musa. Duk da haka, an rubuta yarjejeniyar sasantawa kuma bangarorin biyu suka sanya hannu a ranar 2 ga Agusta, 657 AZ. Abu Musa ya wakilci rundunar Ali yayin da babban janar na Muawiya Amr ibn al-As yake wakiltar dakarun Muawiya. Wakilan biyu sun kuduri aniyar yin riko da Alkur'ani da Sunna, da kuma ceto al'umma daga yaki da rarrabuwar kawuna, wani sashi da ya fito fili don farantawa kungiyar zaman lafiya hankali. Duk da haka, an lura cewa Amr ya yi nisa daga tsaka-tsaki kuma ya yi aiki ne kawai don amfanin Muawiya.	Rayuwa Biyo bayan rasuwar Umaru bin Ali yayin da yake yakin neman zaɓe a Kaura Namoda, Waziri ya kira taron gaggawa saboda muddin maƙiya sun kusa, ya zama wajibi sojoji su sami shugaba. A yayin taron, an zaɓi Abdur Rahman, dan Abu Bakr Atiku a matsayin Sarkin Musulmi. Ya kuma kasance ɗan uwa ga Ahmadu Atiku da Umar Nagwamatse kuma dan wa ga Muhammed Bello. Kafin ya zama Sarkin Musulmi, ya rike mukamin Bunu mai kula da kauyen Dambiso, arewacin Wurno .	Abu Abdullah Al-Hafiz ya ce: “Na ji Ali bn Umar yana cewa: “Abu Abdurrahman An-Nasa’i shi ne mafi ilimi a cikin Shehunan Masar (malamai) a fagen Fiqhu, kuma ingantattu da maruwaitan Hadisai. a lokacinsa. Da yake shi ne mafifici a cikinsu, sai suka ji hassada gare shi. Don haka sai ya koma Ar-Ramlah (wani gari a kasar Falasdinu) inda aka tambaye shi game da Muawiyah bn Abu Sufyan. Bai amsa da wani abu mai kyau ba, don haka mutane suka yi masa mugun tsiya. Ya nemi a kai shi Makkah, duk da rashin lafiyar da yake fama da shi, inda ya rasu.”	Farfesa Umaru ya sami digiri na farko na likitanci, MBBS daga Jami'ar London. Farfesa Umaru Shehu ba kawai shahararren farfesa ne a likitancin Najeriya ba, dattijo ne.
  Ram	Ram Trucks, Amurka, tun shekara ta 2009 Jerin motocin mai suna Dodge Ram, manyan motoci da manyan motoci Ram Pickup, wanda Ram Trucks ya samar	Ram Caspi ( ; b. Isra'ila, 1939), fitaccen lauyan Isra'ila ne. Ya karbi LL. M ( cum laude ) daga Jami'ar Ibrananci ta Urushalima (1962), kuma an shigar da shi a Bar Isra'ila a shekarar 1964.Kwarewar Caspi tana cikin ma'amaloli na ƙasa da ƙasa da Haɗaɗɗen Kayayyaki, da kuma a cikin ƙarar farar hula . Yana kuma aiwatar da Dokar Kasuwanci da Kayayyaki. Shi ne shugaban Caspi & Co. kuma dan marigayi Adv. Michael Kaspi.ManazartaHanyoyin haɗi na waje Caspi & Co.Rayayyun mutane	RAM ya ƙunshi kewayewa da yawaita abubuwa masu yawa, don haɗa layukan bayanai zuwa ajiyar adireshi don karantawa ko rubuta shigarwa. Galibi ana samun damar adana bayanai fiye da ɗaya ta adireshin guda, kuma na'urorin RAM galibi suna da layukan bayanai da yawa kuma ana cewa su "8-bit" ko "16-bit", da dai sauransu.	Ram (roka), makamin kare dangi na Koriya ta Amurka Na'urar da ake amfani da ita don yin ramuka Ram tank, Kanada, WWII RIM-116 Rolling Airframe Missile, wani sojan ruwa SAM	Ram (sunan da aka ba) Ram (sunan mahaifi) Ram (darekta) (Ramsubramaniam), darektan fina -finan Tamil na Indiya RAM (mawaƙa) (an haife shi a 1974), Dutch Raja Ram (mawaƙa) (Ronald Rothfield), dan Australia Ram Dass (Richard Alpert), malamin ruhaniya na Amurka kuma marubuci Kavitark Ram Shriram (an haife shi a shekarun 1950), memba na kwamitin kafa Google Ram Herrera, mawaƙin Tejano
  An kara dage wasanni a Ingila har sai ranar 30 ga watan Afrilu saboda ci gaba da yaduwa da cutar coronavirus ke yi a kasar.	Wasan karshe da aka yi a Premier an yi shi ne ranar 9 ga watan Maris Duka wasannin Ingila da suka hadar da Premier Lig, da Championship, da gasar mata ta Super Lig da ta Championship. Haka zalika an dage duka wasannin a yankunan Scotland da Wales da arewacin Ireland. Hukumar kwallon kafa ta amince a kara dage kakar wasa ta bana zuwa nan gaba saboda halin da ake ciki. Karkashin wannan sabuwar yarjejeniyar matsar da wasannin an tsara ci gaba da wasannin ne a ranar 1 ga watan Yuni. A wata sanarwar hadin gwiwa da hukumar Premier da takwarorinta suka fitar, ta nuna "yadda aka dukufa kan nemam hanyoyin da za a ci gaba da kakar wasanni ta 2019-2020" tare da kammala sauran kananan gasar nahiyar Turai " da zarar an samu damar haka da kuma nutsuwar yin hakan". Dage gasar Euro 2020 ya ba da damar sauran gasar lig lig da ake bugawa a matsar da ita zuwa watan Yuni. Haka kuma gwamnatin Burtaniya ta dakatar da duk wasu al'amuran wasanni daga lokacin da aka bayar da shawarar hana taron mutane. A makon...	Adadin masu kai ziyara Masallacin Makkah ya ragu tun bayan bullar coronavirus Wasu sun rage yawan tafiye-tafiye sannan suna kauracewa tarukan jama'a. Wasu kuma sun daina musabaha da hannu da rungumar juna inda suka koma yin gaisuwa da kafa. Masallatai da majami'u da wuraren bauta su ma sun sauya wasu tsare-tsarensu a kokarin dakile yaduwar cutar. To ta yaya za ka ci gaba da yin ibada yadda ka saba daidai lokacin da abubuwa ke sauyawa? Musulunci Masu ibada na sallah a gaban Masallacin Makkah bayan an rufe domin tsaftace shi Masallacin Makkah da a ko yaushe yake cike da mutane, a baya-bayan nan an samu raguwar mutanen da ke ziyara a masallacin. Duk da cewa a yanzu an bude masallacin bayan rufewar da aka yi masa tun farko domin tsaftace shi, an sa shinge a Dakin Ka'aba da ke tsakiyar masallacin domin hana mutane taba bangon Dakin Allah. Har yanzu dokar dakatar da baki zuwa biranen Makkah da Madina tana nan. Musulmai daga sassan duniya suna zuwa Umrah wadda sabanin aikin Hajji, ake iya gud...	Tuni mutum na farko na da ya fara kamuwa da cutar ta coronavirus a jihar Legas ya samu sauki kuma an sallame shi daga cibiyar kebe marasa lafiya ta Yaba Gwamnatin Kano ta ce tuni aka kebe dattijon wanda tsohon jami'in gwamnati ne, har ma an debi samfurin jikin iyalinsa, don yi musu gwaji su ma. Lamarin na zuwa ne duk da matakan da hukumomi ke dauka a kasar ciki har da jihohi kamar Kano, inda gwamnati ta ce ta rufe iyakokinta don hana shiga ko fita, tare da bullo da matakan rage tarukan jama'a. Kwana hudu ke nan bayan samun mutum na farko da ya kamu da cutar covid-19 a makwabciyar Kano wato jihar Katsina, kafin daga bisani gwajin da aka yi wa iyalin marigayin ya nuna uku daga cikinsu su ma sun kamu. Kano ce jiha mafi yawan mutane a Najeriya kuma ta uku a shiyyar Arewa maso Yamma da aka samu bullar cutar coronavirus, baya ga Kaduna da Katsina. Hukumar dakile cutuka masu yaduwa NCDC ta ce zuwa yanzu mutum 318 ne aka tabbatar sun kamu da cutar a daukacin Najeriya, a cikinsu goma sun rasu. ...	A wani bidiyo da ya wallafa a shafukan sada zumunta, Mane ya yi kira a dauki batun yaduwar cutar ta coronavirus da "matukar muhimmanci." Dan wasan ya dauki matakin ne bayan da ya lura da yadda cutar ke yaduwa a kasar ta Senegal. A wani bidiyo da ya wallafa a shafukan sada zumunta, Mane ya yi kira a dauki batun yaduwar cutar ta coronavirus da "matukar muhimmanci." Dan wasan ya bai wa magoya bayansa shawara kan matakan da za su dauka domi kare kansu daga kamuwa da cutar, kamar "wanke hannu tsawon dakika 30". Kawo yanzu, an tabbatar da mutum 27 da suka kamu da Covid-19 a Senegal, ko da yake biyu dsaga cikin su sun warke, a cewar ma'aikatar lafiyar kasar. Hukumomina Senegal sun sanar da dakatar da sauka da tashin jiragen sama tsakanin kasashen yammaci da arewacin Afrika, da kuma wasu kasashen Turai da dama. (Faransa da Spaniya da Italiya da Belgium da kuma Portugal) A arewacin Afrika kuwa kasashe kamar Aljeriya da Tuniya yayin da Morocco tuni ta dakatar da saukar jirage daga Senegal din.	Wannan yana daga cikin tsarin taimaka wa kungiyoyin Ingila da suke fuskantar tattalin arziki saboda coronavirus. Haka kuma kungiyar kwararrun 'yan wasan kwallon kafar za ta tambayi kungiyoyin da ke buga wasannin Ingila ko wannan tsarin zai yi kyau da bukatunsu. An tsayar da gasar cin kofin Premier Ingila wadda ake sa ran ci gaba da fafatawa ranar 30 ga watan Afirilu, saboda bullar annoba. Sai dai wasu na ganin nan gaba kadan komai zai koma yadda aka saba, sannan a karkare wasannin kakar bana. Ranar 18 ga watan Maris mahukuntan gasar League a Ingila suka ce za su biya fam miliyan 50, domin taimaka wa kungiyoyin da suka samu gibi wajen biyan albashi sakamakon dakatar da wasannin. Taron da za su gudanar ranar Laraba zai mayar da hankali kan yadda za a magance bukatun watan Afirilu na kungiyoyin.

• Loss: MatryoshkaLoss with these parameters:

  {
      "loss": "MultipleNegativesRankingLoss",
      "matryoshka_dims": [
          384,
          256,
          128,
          64
      ],
      "matryoshka_weights": [
          1.0,
          1.0,
          1.0,
          1.0
      ],
      "n_dims_per_step": -1
  }
  

Evaluation Dataset

AfriXIR Passage Retrieval with Hard Negatives

• Dataset: AfriXIR Passage Retrieval with Hard Negatives
• Size: 34,849 evaluation samples
• Columns: anchor, positive, negative_0, negative_1, negative_2, and negative_3
• Approximate statistics based on the first 100 samples:

  	anchor	positive	negative_0	negative_1	negative_2	negative_3
  type	string	string	string	string	string	string
  modality	text	text	text	text	text	text
  details	min: 3 tokensmean: 13.12 tokensmax: 82 tokens	min: 28 tokensmean: 181.77 tokensmax: 512 tokens	min: 35 tokensmean: 174.47 tokensmax: 512 tokens	min: 36 tokensmean: 166.32 tokensmax: 512 tokens	min: 37 tokensmean: 158.69 tokensmax: 512 tokens	min: 33 tokensmean: 150.81 tokensmax: 512 tokens

• Samples:

  anchor	positive	negative_0	negative_1	negative_2	negative_3
  Ga wasu zaɓaɓɓun hotunan wasu abubuwan da suka faru a wasu sassan Afirka a makon da ya gabata:	A ranar Asabar wasu ƴan ƙasar Habasha da suka tsere saboda yaƙin yankin Tigray suna wasan ƙwallon volley gabanin faɗuwar rana a sansanin ƴan gudun hijira na Um Raquba a Sudan.... ... a ranar Lahadi a can yankin Tigray, wata mata na kallon hasken rana ta jikin ɓular rufin kwanon da ke ɗakinta a gidanta da ke yankin Humera. A ranar Juma'a hayaƙi mai sa hawaye ya cika sararin samaniya, a yayin da wani mai zanga-zangar adawa da rahotannin wariyar launin fata a wata makarantar sakandare a birnin Cape Town na Afirka Ta Kudu shi ma ya jefi ƴan sandan da wani abu. Ranar Lahadi ta kasance wata rana ta ibada a Mali, yayin da wasu mabiya addinin kirista suka fara wani tattaki na ibadar ƙasa a Kita... ... Mabiyan ɗariƙar Katolika suna wannan tattaki duk shekara zuwa wajen bauta a Kita, inda suke yin addu'a a gaban gunkin "Our Lady" a Mali. Washegari wani mawaƙi a Uganda da ya tsaya takarar shugaban ƙasa ya tsaya a kan motarsa don yi wa taron kamfe ɗinsa bayani. A ranar Lahadi an ƙirga ƙuri'u a zaɓ...	An sha bayar da rahotannin mutuwar Shekau a baya amma yana fitowa ya ƙaryata Ya zuwa yanzu ba a san inda Shekau yake ba tun bayan samun rahotannin da ke cewa ya mutu sakamakon wata fafatawa tsakanin dakarunsa da kuma na ƙungiyar ISWAP, wadda ta ɓalle daga Boko Haram. Mai magana da yawun rundunar, Birgediya Mohammed Yerima, ya faɗa wa BBC cewa suna bincike kan lamarin amma ba za su ce komai har sai sun samu cikakkiyar hujja game da mutuwar tasa. Wata kafar labarai mai majiya daga hukumomin tsaro ce ta fara ruwaito mutuwar ta Shekau a faɗan da ya ɓarke a Dajin Sambisa da ke Jihar Borno. 'Yan Najeriya da dama na murna da labarin mutuwar musamman a shafukan sada zumunta. Ƙungiyoyin Boko Haram da ISWAP sun sha fafatawa kan iko da wasu yankuna, a cewar kamfanin labarai na AFP sai dai da alama ISWAP ta fi ƙarfin iko inda ta ke kai munanan hare-hare kan sojoji. An sha bayyana kisan Abubakar Shekau a baya amma yana fitowa ya ƙaryata, sai dai wannan ne karon farko da rahotanni ke cewa mayaƙan wa...	A ranar Laraba da yamma ne gwamnan jihar Kaduna da ke arewacin Najeriya Malam Nasir el-Rufa'i ya wallafa a shafinsa na Tuwita cewa, ''A yanzu haka masu zaɓen sarki na sake sabon nazari don zaɓo waɗanda za a zaɓa cikinsu da zai zama Sarkin Masarautar Fulani ta Zazzau na 19. ''Gwamnatin jihar Kaduna ce ta bayar da umarnin yin sabon zagaye na zaɓen bayan da ta soke na farko da aka fara, inda aka cire ƴan takara biyu. Karshen labarin da aka sa a Twitter, 1 A sanarwar da gwamnatin jihar ta fitar, ta bayyana cewa soke zaɓen farkon na da alaƙa da cire sunayen wasu 'yan takara biyu waɗanda suka nuna sha'awar sarautar amma daga baya aka ce musu an rufe karbar sunayen masu son zama sarki. Gwamnatin jihar ta kuma nuna ɓacin ranta dangane da yadda aka tsegunta batun zaɓen da masu zaben sarki suka yi a ranar 24 ga watan Satumba tun kafin gwamnan jihar ya samu rahoto a hukumance kan zaɓen. A ranar Lahadi, 20 ga watan Satumba ne Sarkin Zazzau Dakta Shehu Idris ya rasu bayan fama da gajeruwar rashin l...	Mafi yawan abubuwan da suka fi daukar hankali a labaran Najeriya sun shafi matsalolin tsaro ne, don haka ko makon da ya gabata cike yake da kalubalen tsaro a wasu daga cikin sassan kasar. Abubuwa da dama sun faru sai dai ga wasu daga cikin muhimmansu a takaice: An shiga makon ne da ce-ce-kuce sakamakon wani wa'adin mako daya da gwamnan jihar Ondo ya bai wa makiyaya su fita daga dazukan jihar. Gwamana Rotimi Akeredolu, wanda ya bayyana hakan a shafinsa na Twitter ranar Litinin, ya dora alhakin satar mutane da wasu laifuka kan makiyayan. Fulani makiyaya a jihar Ondo sun ce sanarwar ta zo masu da mamaki. Sarkin Fulani na jihar Alhaji Ali Dogo ya ce sanarwar ta zo masu da mamaki ne saboda sun cimma matsaya da gwamnan jihar a baya. "Ban ji daɗi ba saboda mu ƙungiyar Fulani makiyaya mun je har gaban gwamna aka ce mu haɗa kai da gwamnan zai ba mu kayan aiki mu yi maganin duk wani mugu," in ji shi. Ita ma gwamnatin tarayyar kasar ta ce ba ta amince da wannan matsaya ba ta gwamnan jihar Ondo...	Wasu zaɓɓɓun hotuna daga wasu sassan Afirka dama na ƴan nahiyar a wasu ƙasashen duniya makon da ya gabata:
  Maïmouna Gueye	Ita ce ta kafa 'Afrokids', ƙungiyar nishaɗin yara wacce ke ba da zane-zane, karatu, raye-raye, ba da labari, da tarukan DIY.	Guga jam'in ta shine Guguna dai ana nufin makamfata ce wadda ake ɗebo ruwa daga rijiya, guga dai abu ce da ake amfani da ita wajen ɗebo ruwa da ita a rijiya ta hanyar ƙulla mata igiya. Kuma guga kala-kala ce akwai wadda dabbobi ke jan ruwa da ita akwai kuma wadda mutane ne ke jawo ruwa da ita, wannan ya nuna akwai babba akwai karama, akwai kuma ta ƙarfe da roba har ta fata misali idan kaje irin Nijar zaka ga kusan dabbobi ne ake amfani dasu wajen ɗebo ruwa da guga wadda babba ce.Ana yin karin magana wai "guga baki tsoron rame" ma'ana idan kaji an yi wa mutum wannan karin maganar to ana nufin ba yada tsoro..Amfanin gugaAmfanin guga dai amfani ne da baya musultuwa domin babu wata al'ummah ko dabba da za'a iya rayuwa ba tare da ruwa ba..Manazartahttps://www.rumbunilimi.com.ng/	Guguwa Saboda kusancin ta da belin guguwa, guguwar Flora ta buge tsibirin a ranar 30 ga Satumba, 1963. Illolin sun yi tsanani sosai har sun canza fuskar tattalin arzikin Tobago. Guguwar ta lalata filayen ayaba, kwakwa, da cacao wanda hakan ya tallafawa tattalin arzikin, kuma ya lalata barna mai yawa a dazuzzuka na tsawan wurare masu zafi wanda ya samar da babban yanki na tsakiyar arewacin tsibirin. Yawancin gonakin an watsar da su daga baya, kuma tattalin arziƙi ya canza alkibla daga noman amfanin gona da kuma yawon buɗe ido. A 2004 Guguwar Ivan, yayin da ta fi Flora rauni, ita ma ta yi mummunar lalacewa.	IyakaGubana yana da iyaka da ƙauyuka a yammacin Maiwala, gabas Gubanan dutse, arewa kuma shine Ngubdo.	Guétéma ƙaramin gari ne kuma cibiyar sadarwa a cikin Cercle na Nioro a cikin yankin garin Kayes na kudu maso yammacin Ƙasar Mali .ManazartaMajiyoyi  .
  Jetstar Pacific Airlines	Jetstar Pacific Airlines ne mai K'abilan Biyetnam kasafin kudin hanyar jirgin sama. A headquarter da yake a Saigon (Tan Son Nhat Filin) da kuma tsakiyar aiki da yake a Hanoi (Noi Bai Filin). An kafa a shekarar 1991, ya fara aiki a shekara ta 1992. Ya flights ga mafi yawan filayen jiragen saman a Vietnam (Hanoi da Da Nang, Hai Phong, Huế, Nha Trang, Vinh, Dong Hoi, Quy Nhon, Da Lat, Buon Me Thuot, Can Tho, Phu Quoc.ManazartaVietnam	TAT, lambar filin jirgin saman IATA na Poprad-Tatry Airport TAT European Airlines, tsohon kamfanin jirgin sama na yankin Faransa Jimlar yawan zafin jiki na iska, wani lokacin ana kiranta Stagnation Temperatuur Transcontinental Air Transport, tsohon kamfanin jirgin saman Amurka	Aeroflot, kamfanin jirgin sama na Rasha (lambar IATA) Ƙungiyar Union, ƙungiyar Kirista Matasan gurguzu (Norway), ƙungiyar matasa ta Norway Sukhoi, kamfanin jirgin sama na Rasha	Jirgin saman American Airlines Flight 77 shine jirgi na uku da ya tashi. Jirgin Boeing 757-200 ne. Ta bar Washington, DC da ƙarfe 8:20 na safe zuwa Los Angeles. Ya kasance kashi biyu cikin uku babu komai, tare da fasinjoji 58 a cikin kujerun ta 176. Yana dauke da galan 4,000 na man fetur, kasa da galan 11,500 da zai iya dauka. ya fada cikin Pentagon da karfe 9:37 na safe, yana tashi da nisan mil 530 a awa daya (kilomita 850/h).	Jirgin saman United Airlines Flight 175, shi ma Boeing 767-200ER, shine na biyu. Kamar American Airlines 11, an shirya tashi daga Boston zuwa Los Angeles . Lokacin da United 175 ta tashi da karfe 8:14 na safe, ya fi sauƙi fiye da jirgin Amurka: 56 na kujeru 168 ne kawai aka cika. Lokacin da ta fada kan Hasumiyar Kudu ta Cibiyar Ciniki ta Duniya da karfe 9:03 na safiya, tafiya , tana da galan 9,118 na mai a cikin tankokin ta. An watsa wannan hatsarin kai tsaye ta tashoshin talabijin da yawa a duk duniya waɗanda tuni ke nuna Hasumiyar Arewa tana ƙonewa.

• Loss: MatryoshkaLoss with these parameters:

  {
      "loss": "MultipleNegativesRankingLoss",
      "matryoshka_dims": [
          384,
          256,
          128,
          64
      ],
      "matryoshka_weights": [
          1.0,
          1.0,
          1.0,
          1.0
      ],
      "n_dims_per_step": -1
  }
  

Training Hyperparameters

Non-Default Hyperparameters

• per_device_train_batch_size: 32
• num_train_epochs: 6
• learning_rate: 4e-05
• lr_scheduler_type: cosine
• warmup_steps: 0.025
• gradient_accumulation_steps: 4
• eval_on_start: True
• batch_sampler: no_duplicates

All Hyperparameters

• per_device_train_batch_size: 32
• num_train_epochs: 6
• max_steps: -1
• learning_rate: 4e-05
• lr_scheduler_type: cosine
• lr_scheduler_kwargs: None
• warmup_steps: 0.025
• optim: adamw_torch_fused
• optim_args: None
• weight_decay: 0.0
• adam_beta1: 0.9
• adam_beta2: 0.999
• adam_epsilon: 1e-08
• optim_target_modules: None
• gradient_accumulation_steps: 4
• average_tokens_across_devices: True
• max_grad_norm: 1.0
• label_smoothing_factor: 0.0
• bf16: False
• fp16: False
• bf16_full_eval: False
• fp16_full_eval: False
• tf32: None
• gradient_checkpointing: False
• gradient_checkpointing_kwargs: None
• torch_compile: False
• torch_compile_backend: None
• torch_compile_mode: None
• use_liger_kernel: False
• liger_kernel_config: None
• use_cache: False
• neftune_noise_alpha: None
• torch_empty_cache_steps: None
• auto_find_batch_size: False
• log_on_each_node: True
• logging_nan_inf_filter: True
• include_num_input_tokens_seen: no
• log_level: passive
• log_level_replica: warning
• disable_tqdm: False
• project: huggingface
• trackio_space_id: None
• trackio_bucket_id: None
• trackio_static_space_id: None
• per_device_eval_batch_size: 8
• prediction_loss_only: True
• eval_on_start: True
• eval_do_concat_batches: True
• eval_use_gather_object: False
• eval_accumulation_steps: None
• include_for_metrics: []
• batch_eval_metrics: False
• save_only_model: False
• save_on_each_node: False
• enable_jit_checkpoint: False
• push_to_hub: False
• hub_private_repo: None
• hub_model_id: None
• hub_strategy: every_save
• hub_always_push: False
• hub_revision: None
• load_best_model_at_end: False
• ignore_data_skip: False
• restore_callback_states_from_checkpoint: False
• full_determinism: False
• seed: 42
• data_seed: None
• use_cpu: False
• accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
• parallelism_config: None
• dataloader_drop_last: False
• dataloader_num_workers: 0
• dataloader_pin_memory: True
• dataloader_persistent_workers: False
• dataloader_prefetch_factor: None
• dataloader_multiprocessing_context: None
• dataloader_in_order: True
• remove_unused_columns: True
• label_names: None
• train_sampling_strategy: random
• length_column_name: length
• ddp_find_unused_parameters: None
• ddp_bucket_cap_mb: None
• ddp_broadcast_buffers: False
• ddp_static_graph: None
• ddp_backend: None
• ddp_timeout: 1800
• fsdp: None
• fsdp_config: None
• deepspeed: None
• debug: []
• skip_memory_metrics: True
• do_predict: False
• resume_from_checkpoint: None
• local_rank: -1
• prompts: None
• batch_sampler: no_duplicates
• multi_dataset_batch_sampler: proportional
• router_mapping: {}
• learning_rate_mapping: {}
• warmup_ratio: None

Training Logs

Training Time

• Training: 11.1 hours
• Evaluation: 55.3 minutes
• Total: 12.0 hours

Framework Versions

• Python: 3.13.15
• Sentence Transformers: 5.7.0
• Transformers: 5.16.1
• PyTorch: 2.11.0+cu128
• Accelerate: 1.14.0
• Datasets: 4.8.5
• Tokenizers: 0.23.1

Additional Resources

• Training and Finetuning Embedding Models with Sentence Transformers: the end-to-end guide for training or finetuning Sentence Transformer models.
• Introduction to Matryoshka Embedding Models: variable-size embeddings that can be truncated with minimal quality loss.
• Binary and Scalar Embedding Quantization for Significantly Faster & Cheaper Retrieval: post-training compression of embedding vectors.
• Multimodal Embedding & Reranker Models with Sentence Transformers: use text, image, audio, and video models through the same API.
• Training and Finetuning Multimodal Embedding & Reranker Models with Sentence Transformers: train multimodal embedding models, with a Visual Document Retrieval walkthrough.

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",
}

MatryoshkaLoss

@misc{kusupati2024matryoshka,
    title={Matryoshka Representation Learning},
    author={Aditya Kusupati and Gantavya Bhatt and Aniket Rege and Matthew Wallingford and Aditya Sinha and Vivek Ramanujan and William Howard-Snyder and Kaifeng Chen and Sham Kakade and Prateek Jain and Ali Farhadi},
    year={2024},
    eprint={2205.13147},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}

MultipleNegativesRankingLoss

@misc{oord2019representationlearningcontrastivepredictive,
      title={Representation Learning with Contrastive Predictive Coding},
      author={Aaron van den Oord and Yazhe Li and Oriol Vinyals},
      year={2019},
      eprint={1807.03748},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/1807.03748},
}