sentence-transformers safetensors new sentence-similarity feature-extraction generated_from_trainer dataset_size:2256 loss:MultipleNegativesRankingLoss custom_code arxiv:1908.10084 arxiv:1705.00652 base_model:dunzhang/stella_en_400M_v5 base_model:finetune:dunzhang/stella_en_400M_v5 doi:10.57967/hf/3681 model-index autotrain_compatible text-embeddings-inference endpoints_compatible region:us
---
base_model: dunzhang/stella_en_400M_v5
library_name: sentence-transformers
metrics:
- cosine_accuracy@1
- cosine_accuracy@3
- cosine_accuracy@5
- cosine_accuracy@10
- cosine_precision@1
- cosine_precision@3
- cosine_precision@5
- cosine_precision@10
- cosine_recall@1
- cosine_recall@3
- cosine_recall@5
- cosine_recall@10
- cosine_ndcg@10
- cosine_mrr@10
- cosine_map@100
- dot_accuracy@1
- dot_accuracy@3
- dot_accuracy@5
- dot_accuracy@10
- dot_precision@1
- dot_precision@3
- dot_precision@5
- dot_precision@10
- dot_recall@1
- dot_recall@3
- dot_recall@5
- dot_recall@10
- dot_ndcg@10
- dot_mrr@10
- dot_map@100
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:2256
- loss:MultipleNegativesRankingLoss
widget:
- source_sentence: "Instruct: Given a web search query, retrieve relevant passages\
    \ that answer the query.\nQuery: Title: \nText: by what percentage did the aeco\
    \ natural gas sales index decline from 2011 to 2013?"
  sentences:
  - "Title: \nText: |  | 2017 | 2016 |\n| Projected benefit obligation | $74,953 |\
    \ $76,586 |\n| Accumulated benefit obligation | 71,975 | 74,081 |\n| Fair value\
    \ of plan assets | $58,353 | $56,530 |\nAssumptions The following assumptions,\
    \ which are the weighted average for all plans, are used to calculate the benefit\
    \ obligation at December 31 of each year and the net periodic benefit cost for\
    \ the subsequent year."
  - "Title: \nText: discount to Brent was narrower in 2013 than in 2012 and 2011.\n\
    As a result of the significant increase in U. S.  production of light sweet crude\
    \ oil, the historical relationship between WTI, Brent and LLS pricing may not\
    \ be indicative of future periods.\nComposition – The proportion of our liquid\
    \ hydrocarbon sales volumes that are NGLs continues to increase due to our development\
    \ of United States unconventional liquids-rich plays.\nNGLs were 15 percent of\
    \ our North America E&P liquid hydrocarbon sales volumes in 2013 compared to 10\
    \ percent in 2012 and 7 percent in 2011.\nNatural gas – A significant portion\
    \ of our natural gas production in the U. S.  is sold at bid-week prices, or first-of-month\
    \ indices relative to our specific producing areas.\nAverage Henry Hub settlement\
    \ prices for natural gas were 31 percent higher for 2013 than for 2012.  International\
    \ E&P Liquid hydrocarbons – Our International E&P crude oil production is relatively\
    \ sweet and has historically sold in relation to the Brent crude benchmark, which\
    \ on average was 3 percent lower for 2013 than 2012.\nNatural gas – Our major\
    \ International E&P natural gas-producing regions are Europe and E. G.  Natural\
    \ gas prices in Europe have been considerably higher than the U. S.  in recent\
    \ years.\nIn the case of E. G. , our natural gas sales are subject to term contracts,\
    \ making realized prices in these areas less volatile.\nThe natural gas sales\
    \ from E. G.  are at fixed prices; therefore, our reported average International\
    \ E&P natural gas realized prices may not fully track market price movements."
  - "Title: \nText: american tower corporation and subsidiaries notes to consolidated\
    \ financial statements towerco ghana for an agreed purchase price of up to approximately\
    \ $ 430 million , of which the company will pay up to approximately $ 220 million\
    \ for its 51% ( 51 % ) stake in the holding company .\nmtn ghana will be the anchor\
    \ tenant , on commercial terms , on each of the towers being purchased .\nthe\
    \ company also expects that towerco ghana will build at least an additional 400\
    \ sites for both mtn ghana and other wireless operators in ghana over the next\
    \ five years .\nthe company expects to close on an initial tranche of towers in\
    \ the first half of 2011 , subject to customary closing conditions .\n6 .\nlong-term\
    \ obligations outstanding amounts under the company 2019s long-term financing\
    \ arrangements consist of the following as of december 31 , ( in thousands ) :\
    \ .\n\n                                                            | 2010    \
    \         | 2009            \n-----------------------------------------------------------\
    \ | ---------------- | ----------------\ncommercial mortgage pass-through certificates\
    \ series 2007-1 | $ 1750000        | $ 1750000       \nrevolving credit facility\
    \                                   | 300000           | 550000          \nterm\
    \ loan                                                   | 325000           |\
    \ 325000          \nxcel credit facility                                     \
    \   | 2014             | 73367           \ncolombian short-term credit facility\
    \                        | 72889            | 2014            \n4.50% ( 4.50 %\
    \ ) senior notes                               | 999216           | 2014     \
    \       \n5.05% ( 5.05 % ) senior notes                               | 699186\
    \           | 2014            \n4.625% ( 4.625 % ) senior notes              \
    \               | 599346           | 599210          \n7.00% ( 7.00 % ) senior\
    \ notes                               | 500000           | 500000          \n\
    7.25% ( 7.25 % ) senior notes                               | 295420         \
    \  | 295038          \n5.0% ( 5.0 % ) convertible notes                      \
    \      | 2014             | 59683           \n7.25% ( 7.25 % ) senior subordinated\
    \ notes                  | 2014             | 288             \nnotes payable\
    \ and capital leases                            | 46331            | 58995   \
    \        \ntotal                                                       | 5587388\
    \          | 4211581         \nless current portion of long term obligations \
    \              | -74896 ( 74896 ) | -70521 ( 70521 )\nlong-term obligations  \
    \                                     | $ 5512492        | $ 4141060       \n\n\
    commercial mortgage pass-through certificates , series 2007-1 2014during the year\
    \ ended december 31 , 2007 , the company completed a securitization transaction\
    \ ( the 201csecuritization 201d ) involving assets related to 5295 broadcast and\
    \ wireless communications towers ( the 201csecured towers 201d ) owned by two\
    \ special purpose subsidiaries of the company , through a private offering of\
    \ $ 1.75 billion of commercial mortgage pass-through certificates , series 2007-1\
    \ ( the 201ccertificates 201d ) .\nthe certificates were issued by american tower\
    \ trust i ( the trust ) , a trust established by american tower depositor sub\
    \ , llc ( the 201cdepositor 201d ) , an indirect wholly owned special purpose\
    \ subsidiary of the company .\nthe assets of the trust consist of a recourse loan\
    \ ( the 201cloan 201d ) initially made by the depositor to american tower asset\
    \ sub , llc and american tower asset sub ii , llc ( the 201cborrowers 201d ) ,\
    \ pursuant to a loan and security agreement among the foregoing parties dated\
    \ as of may 4 , 2007 ( the 201cloan agreement 201d ) .\nthe borrowers are special\
    \ purpose entities formed solely for the purpose of holding the secured towers\
    \ subject to the securitization .\nthe certificates were issued in seven separate\
    \ classes , comprised of class a-fx , class a-fl , class b , class c , class d\
    \ , class e and class f .\neach of the certificates in classes b , c , d , e and\
    \ f are subordinated in right of payment to any other class of certificates which\
    \ has an earlier alphabetical designation .\nthe certificates were issued with\
    \ terms identical to the loan except for the class a-fl certificates , which bear\
    \ interest at a floating "
- source_sentence: "Instruct: Given a web search query, retrieve relevant passages\
    \ that answer the query.\nQuery: Title: \nText: In the year with lowest amount\
    \ of Interest in table 2, what's the increasing rate of Operating leases in table\
    \ 2?"
  sentences:
  - "Title: \nText: Management Discussion and Analysis\nAssociates\n\"nm\" denotes\
    \ not meaningful.\nNotes: (1) Based on Singapore Financial Reporting Standards\
    \ (International).\n(2) Assuming constant exchange rates for the regional currencies\
    \ (Indian Rupee, Indonesian Rupiah, Philippine Peso and Thai Baht) from FY 2018.\n\
    (3) Share of results excluded the Group’s share of the associates’ significant\
    \ one-off items which have been classified as exceptional items of the Group.\n\
    (4) Singtel holds an equity interest of 21.0% in Intouch which has an equity interest\
    \ of 40.5% in AIS.\n(5) Bharti Telecom Limited (BTL) holds an equity interest\
    \ of 50.1% in Airtel as at 31 March 2019. In BTL’s standalone books, its loss\
    \ comprised mainly interest charges on its borrowings.\n(5) Bharti Telecom Limited\
    \ (BTL) holds an equity interest of 50.1% in Airtel as at 31 March 2019. In BTL’s\
    \ standalone books, its loss comprised mainly interest charges on its borrowings.\n\
    (6) Singtel ceased to own units in NetLink Trust following the sale to NetLink\
    \ NBN Trust in July 2017 but continues to have an interest of 24.8% in NetLink\
    \ NBN Trust, the holding company of NetLink Trust. The share of results included\
    \ Singtel’s amortisation of deferred gain of S$20 million (FY 2018: S$32 million)\
    \ on assets previously transferred to NetLink Trust, but excluded the fair value\
    \ adjustments recorded by NetLink NBN Trust in respect of its acquisition of units\
    \ in NetLink Trust.\n(7) Include the share of results of Singapore Post Limited.\n\
    \n                                               | Financial Year ended 31 March\
    \ |              |        |                                \n----------------------------------------------\
    \ | ----------------------------- | ------------ | ------ | -------------------------------\n\
    \                                               | 2019                       \
    \   | 2018         | Change | Change in constant currency (2)\n              \
    \                                 | (S$ million)                  | (S$ million)\
    \ | (%)    | (%)                            \nGroup share of associates' pre-tax\
    \ proﬁts (3)  | 1,536                         | 2,461        | -37.6  | -36.2\
    \                          \nShare of post-tax proﬁts                       |\
    \                               |              |        |                    \
    \            \nTelkomsel                                      | 843          \
    \                 | 1,031        | -18.3  | -12.4                          \n\
    AIS                                            | 286                         \
    \  | 292          | -1.7   | -3.9                           \nGlobe (3)      \
    \                                |                               |           \
    \   |        |                                \n- ordinary results           \
    \                  | 251                           | 180          | 39.3   | 45.3\
    \                           \n- exceptional items                            |\
    \ -                             | 22           | nm     | nm                 \
    \            \n                                               | 251          \
    \                 | 202          | 23.9   | 29.1                           \n\
    Intouch (3) (4)                                |                             \
    \  |              |        |                                \n- operating results\
    \                            | 101                           | 106          |\
    \ -4.4   | -6.5                           \n- amortisation of acquired intangibles\
    \         | (22)                          | (21)         | 8.3    | 5.9      \
    \                      \n                                               | 79 \
    \                           | 86           | -7.5   | -9.5                   \
    \        \nAirtel (3)                                     | (131)            \
    \             | 101          | nm     | nm                             \nBTL (5)\
    \                                        | (40)                          | (18)\
    \         | 127.8  | 140.9                          \n                       \
    \                        | (171)                         | 83           | nm \
    \    | nm                             \nRegional associates (3)              \
    \          | 1,287                         | 1,694        | -24.0  | -21.5   \
    \                       \nNetLink NBN Trust/ NetLink Trust (6)           | 48\
    \                            | 72           | -32.9  | -32.9                 \
    \         \nOther associates (3) (7)                       | 47              \
    \              | 57           | -17.6  | -17.6                          \nGroup\
    \ share of associates’ post-tax proﬁts (3) | 1,383                         | 1,823\
    \        | -24.1  | -21.8                          "
  - "Title: \nText: Long-term product offerings include alpha-seeking active and index\
    \ strategies.\nOur alpha-seeking active strategies seek to earn attractive returns\
    \ in excess of a market benchmark or performance hurdle while maintaining an appropriate\
    \ risk profile, and leverage fundamental research and quantitative models to drive\
    \ portfolio construction.\nIn contrast, index strategies seek to closely track\
    \ the returns of a corresponding index, generally by investing in substantially\
    \ the same underlying securities within the index or in a subset of those securities\
    \ selected to approximate a similar risk and return profile of the index.\nIndex\
    \ strategies include both our non-ETF index products and iShares ETFs.\nAlthough\
    \ many clients use both alpha-seeking active and index strategies, the application\
    \ of these strategies may differ.\nFor example, clients may use index products\
    \ to gain exposure to a market or asset class, or may use a combination of index\
    \ strategies to target active returns.\nIn addition, institutional non-ETF index\
    \ assignments tend to be very large (multi-billion dollars) and typically reflect\
    \ low fee rates.\nNet flows in institutional index products generally have a small\
    \ impact on BlackRock’s revenues and earnings.\nEquity Year-end 2017 equity AUM\
    \ totaled $3.372 trillion, reflecting net inflows of $130.1 billion.\nNet inflows\
    \ included $174.4 billion into iShares ETFs, driven by net inflows into Core funds\
    \ and broad developed and emerging market equities, partially offset by non-ETF\
    \ index and active net outflows of $25.7 billion and $18.5 billion, respectively.\n\
    BlackRock’s effective fee rates fluctuate due to changes in AUM mix.\nApproximately\
    \ half of BlackRock’s equity AUM is tied to international markets, including emerging\
    \ markets, which tend to have higher fee rates than U. S.  equity strategies.\n\
    Accordingly, fluctuations in international equity markets, which may not consistently\
    \ move in tandem with U. S.  markets, have a greater impact on BlackRock’s equity\
    \ revenues and effective fee rate.\nFixed Income Fixed income AUM ended 2017 at\
    \ $1.855 trillion, reflecting net inflows of $178.8 billion.\nIn 2017, active\
    \ net inflows of $21.5 billion were diversified across fixed income offerings,\
    \ and included strong inflows into municipal, unconstrained and total return bond\
    \ funds.\niShares ETFs net inflows of $67.5 billion were led by flows into Core,\
    \ corporate and treasury bond funds.\nNon-ETF index net inflows of $89.8 billion\
    \ were driven by demand for liability-driven investment solutions.\nMulti-Asset\
    \ BlackRock’s multi-asset team manages a variety of balanced funds and bespoke\
    \ mandates for a diversified client base that leverages our broad investment expertise\
    \ in global equities, bonds, currencies and commodities, and our extensive risk\
    \ management capabilities.\nInvestment solutions might include a combination of\
    \ long-only portfolios and alternative investments as well as tactical asset allocation\
    \ overlays.\nComponent changes in multi-asset AUM for 2017 are presented below."
  - "Title: PEPSICO_2022_10K\nText: Forward-Looking Statements\nThis Annual Report\
    \ on Form 10-K contains statements reflecting our views about our future performance\
    \ that constitute\nforward-looking statements within the meaning of the Private\
    \ Securities Litigation Reform Act of 1995 (Reform Act).\nStatements that constitute\
    \ forward-looking statements within the meaning of the Reform Act are generally\
    \ identified through the\ninclusion of words such as aim, anticipate, believe,\
    \ drive, estimate, expect, expressed confidence, forecast,\nfuture, goal, guidance,\
    \ intend, may, objective, outlook, plan, position, potential, project, seek,\n\
    should, strategy, target, will or similar statements or variations of such words\
    \ and other similar expressions. All\nstatements addressing our future operating\
    \ performance, and statements addressing events and developments that we expect\
    \ or\nanticipate will occur in the future, are forward-looking statements within\
    \ the meaning of the Reform Act. These forward-looking\nstatements are based on\
    \ currently available information, operating plans and projections about future\
    \ events and trends. They\ninherently involve risks and uncertainties that could\
    \ cause actual results to differ materially from those predicted in any such\n\
    forward-looking statement. These risks and uncertainties include, but are not\
    \ limited to, those described in Item 1A. Risk\nFactors and Item 7. Managements\
    \ Discussion and Analysis of Financial Condition and Results of Operations Our\
    \ Business\n Our Business Risks. Investors are cautioned not to place undue reliance\
    \ on any such forward-looking statements, which speak\nonly as of the date they\
    \ are made. We undertake no obligation to update any forward-looking statement,\
    \ whether as a result of\nnew information, future events or otherwise. The discussion\
    \ of risks in this report is by no means all-inclusive but is designed to\nhighlight\
    \ what we believe are important factors to consider when evaluating our future\
    \ performance.\nPART I\nItem 1. Business.\nWhen used in this report, the terms\
    \ we, us, our, PepsiCo and the Company mean PepsiCo, Inc. and its consolidated\n\
    subsidiaries, collectively. Certain terms used in this Annual Report on Form 10-K\
    \ are defined in the Glossary included in Item 7.\nof this report.\nCompany Overview\n\
    We were incorporated in Delaware in 1919 and reincorporated in North Carolina\
    \ in 1986. We are a leading global beverage and\nconvenient food company with\
    \ a complementary portfolio of brands, including Lays, Doritos, Cheetos, Gatorade,\
    \ Pepsi-Cola,\nMountain Dew, Quaker and SodaStream. Through our operations, authorized\
    \ bottlers, contract manufacturers and other third\nparties, we make, market,\
    \ distribute and sell a wide variety of beverages and convenient foods, serving\
    \ customers and consumers\nin more than 200 countries and territories.\nOur Operations\n\
    We are organized into seven reportable segments (also referred to as divisions),\
    \ as follows:\n1) Frito-Lay North America (FLNA), which includes our branded convenient\
    \ food businesses in the United States and\nCanada;\n2) Quaker Foods North America\
    \ (QFNA), which includes our branded convenient food businesses, such as cereal,\
    \ rice, pasta\nand other branded food, in the United States and Canada;\n3) PepsiCo\
    \ Beverages North America (PBNA), which includes our beverage businesses in the\
    \ United States and Canada;\n4) Latin America (LatAm), which includes all of our\
    \ beverage and convenient food businesses in Latin America;\n5) Europe, which\
    \ includes all of our beverage and convenient food businesses in Europe;"
- source_sentence: "Instruct: Given a web search query, retrieve relevant passages\
    \ that answer the query.\nQuery: Title: \nText: What was the rate of compensation\
    \ increase in 2019?"
  sentences:
  - "Title: \nText: Assumptions\nWeighted-average actuarial assumptions used to determine\
    \ net periodic benefit cost and projected benefit obligation for the plans for\
    \ the fiscal years 2019, 2018 and 2017 were as follows:\n(1) The expected return\
    \ on plan assets assumption used in calculating net periodic benefit cost is based\
    \ on historical return experience and estimates of future long-term performance\
    \ with consideration to the expected investment mix of the plan.\n(2) The discount\
    \ rate is used to state expected cash flows relating to future benefits at a present\
    \ value on the measurement date. This rate represents the market rate for high-quality\
    \ fixed income investments whose timing would match the cash outflow of retirement\
    \ benefits. Other assumptions include demographic factors such as retirement,\
    \ mortality and turnover.\n\n                                            |   \
    \   | Pension |     \n------------------------------------------- | ---- | -------\
    \ | ----\n                                            | 2019 | 2018    | 2017\n\
    Net periodic benefit cost:                  |      |         |     \nExpected\
    \ long-term return on plan assets(1) | 3.6% | 3.8%    | 3.3%\nRate of compensation\
    \ increase               | 4.4% | 3.3%    | 2.7%\nDiscount rate              \
    \                 | 2.2% | 2.1%    | 1.9%\nProjected benefit obligation:     \
    \          |      |         |     \nExpected long-term return on plan assets \
    \   | 2.0% | 3.6%    | 4.0%\nRate of compensation increase               | 4.3%\
    \ | 4.4%    | 4.4%\nDiscount rate(2)                            | 1.7% | 2.2%\
    \    | 2.3%"
  - "Title: \nText: decentralized business model .\nour business segments are focused\
    \ on distinct product categories and are responsible for their own performance\
    \ .\nthis structure enables each of our segments to independently best position\
    \ itself within each category in which it competes and reinforces strong accountability\
    \ for operational and financial performance .\neach of our segments focuses on\
    \ its unique set of consumers , customers , competitors and suppliers , while\
    \ also sharing best practices .\nstrong capital structure .\nwe exited 2017 with\
    \ a strong balance sheet .\nin 2017 , we repurchased 3.4 million of our shares\
    \ .\nas of december 31 , 2017 , we had $ 323.0 million of cash and cash equivalents\
    \ and total debt was $ 1507.6 million , resulting in a net debt position of $\
    \ 1184.6 million .\nin addition , we had $ 635.0 million available under our credit\
    \ facility as of december 31 , 2017 .\nbusiness segments we have four business\
    \ segments : cabinets , plumbing , doors and security .\nthe following table shows\
    \ net sales for each of these segments and key brands within each segment : segment\
    \ net sales ( in millions ) percentage of total 2017 net sales key brands cabinets\
    \ $ 2467.1 47% ( 47 % ) aristokraft , diamond , mid-continent , kitchen craft\
    \ , schrock , homecrest , omega , thomasville ( a ) , kemper , starmark , ultracraft\
    \ plumbing 1720.8 33% ( 33 % ) moen , rohl , riobel , perrin & rowe , victoria\
    \ + albert , shaws , waste king .\n\nsegment  | 2017net sales ( in millions )\
    \ | percentage of total 2017 net sales | key brands                          \
    \                                                                            \
    \  \n-------- | ----------------------------- | ----------------------------------\
    \ | ------------------------------------------------------------------------------------------------------------------\n\
    cabinets | $ 2467.1                      | 47% ( 47 % )                      \
    \ | aristokraft diamondmid-continentkitchen craft schrock homecrest omega thomasville\
    \ ( a ) kemper starmark ultracraft\nplumbing | 1720.8                        |\
    \ 33% ( 33 % )                       | moen rohl riobel perrin & rowe victoria\
    \ + albert shaws waste king                                                 \n\
    doors    | 502.9                         | 9% ( 9 % )                        \
    \ | therma-trufypon                                                          \
    \                                         \nsecurity | 592.5                 \
    \        | 11% ( 11 % )                       | master lock american lock sentrysafe\
    \                                                                            \
    \  \ntotal    | $ 5283.3                      | 100% ( 100 % )               \
    \      |                                                                     \
    \                                              \n\n( a ) thomasville is a registered\
    \ trademark of hhg global designs llc .\nour segments compete on the basis of\
    \ innovation , fashion , quality , price , service and responsiveness to distributor\
    \ , retailer and installer needs , as well as end-user consumer preferences .\n\
    our markets are very competitive .\napproximately 15% ( 15 % ) of 2017 net sales\
    \ were to international markets , and sales to two of the company 2019s customers\
    \ , the home depot , inc .\n( 201cthe home depot 201d ) and lowe 2019s companies\
    \ , inc .\n( 201clowe 2019s 201d ) , each accounted for more than 10% ( 10 % )\
    \ of the company 2019s net sales in 2017 .\nsales to all u.s .\nhome centers in\
    \ the aggregate were approximately 27% ( 27 % ) of net sales in 2017 .\ncabinets\
    \ .\nour cabinets segment manufactures custom , semi-custom and stock cabinetry\
    \ , as well as vanities , for the kitchen , bath and other parts of the home through\
    \ a regional supply chain footprint to deliver high quality and service to our\
    \ customers .\nthis segment sells a portfolio of brands that enables our customers\
    \ to differentiate themselves against competitors .\nthis portfolio includes brand\
    \ names such as aristokraft , diamond , mid-continent , kitchen craft , schrock\
    \ , homecrest , omega , thomasville , kemper , starmark and ultracraft .\nsubstantially\
    \ all of this segment 2019s sales are in north america .\nthis segment sells directly\
    \ to kitchen and bath dealers , home centers , wholesalers and large builders\
    \ .\nin aggregate , sales to the home depot and lowe 2019s comprised approximately\
    \ 34% ( 34 % ) of net sales of the cabinets segment in 2017 .\nthis segment 2019s\
    \ competitors include masco , american woodmark and rsi ( owned by american woodmark\
    \ ) , as well as a large number of regional and local suppliers .\nplumbing .\n\
    our plumbing segment manufactures or assembles and sells faucets , accessories\
    \ , kitchen sinks and waste disposals in north america and china , predominantly\
    \ under the moen , rohl , riobel , perrin & rowe , victoria + albert , shaws and\
    \ waste king brands .\nalthough this segment sells products principally in the\
    \ u.s. , canada and china , this segment also sells in mexico , southeast asia\
    \ , europe and "
  - "Title: \nText: Performance Graph The annual changes for the period shown December\
    \ 1, 2013 (when our ordinary shares began trading) to December 31, 2017 in the\
    \ graph on this page are based on the assumption that $100 had been invested in\
    \ Allegion plc ordinary shares, the Standard & Poor’s 500 Stock Index (\"S&P 500\"\
    ) and the Standard & Poor's 400 Capital Goods Index (\"S&P 400 Capital Goods\"\
    ) on December 1, 2013, and that all quarterly dividends were reinvested.\nThe\
    \ total cumulative dollar returns shown on the graph represent the value that\
    \ such investments would have had on December 31, 2017."
- source_sentence: "Instruct: Given a web search query, retrieve relevant passages\
    \ that answer the query.\nQuery: Title: \nText: In which years is Other comprehensive\
    \ income before reclassifications greater than Net current-period other comprehensive\
    \ income (for Changes related to cash flow derivative hedges)?"
  sentences:
  - "Title: \nText: NOTE 5.\nPROPERTY AND EQUIPMENT Property and equipment consists\
    \ of the following (in thousands):\n|  | 2015 | 2014 |\n| Ships | $22,102,025\
    \ | $21,620,336 |\n| Ship improvements | 2,019,294 | 1,904,524 |\n| Ships under\
    \ construction | 734,998 | 561,779 |\n| Land, buildings and improvements, including\
    \ leasehold improvements and port facilities | 337,109 | 303,394 |\n| Computer\
    \ hardware and software, transportation equipment and other | 1,025,264 | 889,579\
    \ |\n| Total property and equipment | 26,218,690 | 25,279,612 |\n| Less—accumulated\
    \ depreciation and amortization | -7,440,912 | -7,085,985 |\n|  | $18,777,778\
    \ | $18,193,627 |\nShips under construction include progress payments for the\
    \ construction of new ships as well as planning, design, interest and other associated\
    \ costs.\nWe capitalized interest costs of $26.5 million, $28.8 million and $17.9\
    \ million for the years 2015, 2014 and 2013, respectively.\nWe review our long-lived\
    \ assets for impairment whenever events or changes in circumstances indicate potential\
    \ impairment.\nIn conjunction with performing the two-step goodwill impairment\
    \ test for the Pullmantur reporting unit, we identified that the estimated fair\
    \ value of certain long-lived assets, consisting of two ships and three aircraft\
    \ were less than their carrying values.\nAs a result of this determination, we\
    \ evaluated these assets pursuant to our long-lived asset impairment test.\nThe\
    \ decision to significantly reduce our exposure to the Latin American market negatively\
    \ impacted the expected undiscounted cash flows of these vessels and aircraft\
    \ and resulted in an impairment charge of $113.2 million to write down these assets\
    \ to their estimated fair values.\nThis impairment charge was recognized in earnings\
    \ during the third quarter of 2015 and is reported within Impairment of Pullmantur\
    \ related assets within our consolidated statements of comprehensive income (loss).\n\
    Additionally, during 2013, the fair value of Pullmantur’s aircraft were determined\
    \ to be less than their carrying value which led to a restructuring related impairment\
    \ charge of $13.5 million.\nFurthermore, Pullmantur’s non-core businesses met\
    \ the accounting criteria to be classified as held for sale during the fourth\
    \ quarter of 2013 which led to restructuring related impairment charges of $18.2\
    \ million to adjust the carrying value of property and equipment held for sale\
    \ to its fair value, less cost to sell.\nThese impairment charges were reported\
    \ within Restructuring and related impairment charges in our consolidated statements\
    \ of comprehensive income (loss).\nNotes to the Consolidated Financial Statements\
    \ << 84 >> | 2015 ANNUAL REPORT NOTE 13.\nCHANGES IN ACCUMULATED OTHER COMPREHENSIVE\
    \ INCOME (LOSS) The following table presents the changes in accumulated other\
    \ comprehensive income (loss) by component for the years ended December 31, 2015\
    \ and 2014 (in thousands):\n|  | Changes related to cash flow derivative hedges\
    \ | Changes in definedbenefit plans | Foreign currency translation adjustments\
    \ | Accumulated other comprehensive income (loss) |\n| Accumulated comprehensive\
    \ loss at January 1, 2013 | $-84,505 | $-34,823 | $-15,188 | $-134,516 |\n| Other\
    \ comprehensive income before reclassifications | 188,073 | 8,240 | 1,529 | 197,842\
    \ |\n| Amounts reclassified from accumulated other comprehensive income (loss)\
    \ | -60,244 | 2,589 | — | -57,655 |\n| Net current-period other comprehensive\
    \ income | 127,829 | 10,829 | 1,529 | 140,187 |\n| Accumulated comprehensive income\
    \ (loss) at January 1, 2014 | 43,324 | -23,994 | -13,659 | 5,671 |\n| Other comprehensive\
    \ loss before reclassifications | -919,094 | -8,937 | -28,099 | -956,130 |\n|\
    \ Amounts reclassified from accumulated other comprehensive income (loss) | 49,744\
    \ | 1,724 | 1,997 | 53,465 |\n| Net current-period other comprehensive loss |\
    \ -869,350 | -7,213 | -26,102 | -902,665 |\n| Accumulated comprehensive loss at\
    \ January 1, 2015 | -826,026 | -31,207 | -39,761 | -896,994 |\n| Other comprehensive\
    \ (loss) income before reclassifications | -697,671 | 3,053 | -25,952 | -720,570\
    \ |\n| Amounts reclassified from accumulated other comprehensive income (loss)\
    \ | 291,624 | 1,707 | -4,200 | 289,131 |\n| Net current-period other comprehensive\
    \ (loss) income | -406,047 | 4,760 | -30,152 | -431,439 |\n| Accumulated comprehensive\
    \ loss at December 31, 2015 | $-1,232,073 | $-26,447 | $-69,913 | $-1,328,433\
    \ |\nThe following table presents reclassifications out of accumulated other comprehensive\
    \ income (loss) for the years ended December 31, 2015 and 2014 (in thousands):"
  - "Title: \nText: defined contribution plan the company and certain subsidiaries\
    \ have various defined contribution plans , in which all eligible employees may\
    \ participate .\nin the u.s. , the 401 ( k ) plan is a contributory plan .\nmatching\
    \ contributions are based upon the amount of the employees 2019 contributions\
    \ .\nafter temporarily suspending all matching contributions , effective july\
    \ 1 , 2010 , the company reinstated matching contributions and provides a dollar\
    \ for dollar ( 100% ( 100 % ) ) match on the first 4% ( 4 % ) of employee contributions\
    \ .\nthe maximum matching contribution for 2010 was pro-rated to account for the\
    \ number of months remaining after the reinstatement .\nthe company 2019s expenses\
    \ for material defined contribution plans for the years ended december 31 , 2012\
    \ , 2011 and 2010 were $ 42 million , $ 48 million and $ 23 million , respectively\
    \ .\nbeginning january 1 , 2012 , the company may make an additional discretionary\
    \ 401 ( k ) plan matching contribution to eligible employees .\nfor the year ended\
    \ december 31 , 2012 , the company made no discretionary matching contributions\
    \ .\n8 .\nshare-based compensation plans and other incentive plans stock options\
    \ , stock appreciation rights and employee stock purchase plan the company grants\
    \ options to acquire shares of common stock to certain employees and to existing\
    \ option holders of acquired companies in connection with the merging of option\
    \ plans following an acquisition .\neach option granted and stock appreciation\
    \ right has an exercise price of no less than 100% ( 100 % ) of the fair market\
    \ value of the common stock on the date of the grant .\nthe awards have a contractual\
    \ life of five to ten years and vest over two to four years .\nstock options and\
    \ stock appreciation rights assumed or replaced with comparable stock options\
    \ or stock appreciation rights in conjunction with a change in control of the\
    \ company only become exercisable if the holder is also involuntarily terminated\
    \ ( for a reason other than cause ) or quits for good reason within 24 months\
    \ of a change in control .\nthe employee stock purchase plan allows eligible participants\
    \ to purchase shares of the company 2019s common stock through payroll deductions\
    \ of up to 20% ( 20 % ) of eligible compensation on an after-tax basis .\nplan\
    \ participants cannot purchase more than $ 25000 of stock in any calendar year\
    \ .\nthe price an employee pays per share is 85% ( 85 % ) of the lower of the\
    \ fair market value of the company 2019s stock on the close of the first trading\
    \ day or last trading day of the purchase period .\nthe plan has two purchase\
    \ periods , the first one from october 1 through march 31 and the second one from\
    \ april 1 through september 30 .\nfor the years ended december 31 , 2012 , 2011\
    \ and 2010 , employees purchased 1.4 million , 2.2 million and 2.7 million shares\
    \ , respectively , at purchase prices of $ 34.52 and $ 42.96 , $ 30.56 and $ 35.61\
    \ , and $ 41.79 and $ 42.00 , respectively .\nthe company calculates the value\
    \ of each employee stock option , estimated on the date of grant , using the black-scholes\
    \ option pricing model .\nthe weighted-average estimated fair value of employee\
    \ stock options granted during 2012 , 2011 and 2010 was $ 9.60 , $ 13.25 and $\
    \ 21.43 , respectively , using the following weighted-average assumptions: .\n\
    \n                        | 2012             | 2011             | 2010       \
    \     \n----------------------- | ---------------- | ---------------- | ----------------\n\
    expected volatility     | 24.0% ( 24.0 % ) | 28.8% ( 28.8 % ) | 41.7% ( 41.7 %\
    \ )\nrisk-free interest rate | 0.8% ( 0.8 % )   | 2.1% ( 2.1 % )   | 2.1% ( 2.1\
    \ % )  \ndividend yield          | 2.2% ( 2.2 % )   | 0.0% ( 0.0 % )   | 0.0%\
    \ ( 0.0 % )  \nexpected life ( years ) | 6.1              | 6.0              |\
    \ 6.1             \n\nthe company uses the implied volatility for traded options\
    \ on the company 2019s stock as the expected volatility assumption required in\
    \ the black-scholes model .\nthe selection of the implied volatility approach\
    \ was based upon the availability of actively traded options on the company 2019s\
    \ stock and the company 2019s assessment that implied volatility is more representative\
    \ of future stock price trends than historical volatility .\nthe risk-free interest\
    \ rate assumption is based upon the average daily closing rates during the year\
    \ for u.s .\ntreasury notes that have a life which approximates the expected life\
    \ of the option .\nthe dividend yield assumption is based on the company 2019s\
    \ future expectation of dividend payouts .\nthe expected life of employee stock\
    \ options represents the average of the contractual term of the options and the\
    \ weighted-average vesting period for all option tranches .\nthe company has applied\
    \ forfeiture rates , estimated based on historical data , of 13%-50% ( 13%-50\
    \ % ) to the option fair values calculated by the black-scholes option pricing\
    \ model .\nthese estimated forfeiture rates are applied to grants based on their\
    \ remaining vesting term and may be revised in subsequent periods if actual forfeitures\
    \ differ from these estimates. "
  - "Title: \nText: Copyright?2019 Standard & Poor's, a division of S&P Global.\n\
    All rights reserved\nMetLife, Inc.  Notes to the Consolidated Financial Statements\
    \ \x80\x94 (Continued) Commitments Leases In accordance with industry practice,\
    \ certain of the Company\x80\x99s income from lease agreements with retail tenants\
    \ are contingent upon the level of the tenants\x80\x99 revenues.\nAdditionally,\
    \ the Company, as lessee, has entered into various lease and sublease agreements\
    \ for office space, information technology and other equipment.\nFuture minimum\
    \ rental and sublease income, and minimum gross rental payments relating to these\
    \ lease agreements are as follows:"
- source_sentence: "Instruct: Given a web search query, retrieve relevant passages\
    \ that answer the query.\nQuery: Title: \nText: what was the average for \"other\"\
    \ loans held in 2012 and 2011?"
  sentences:
  - "Title: \nText: Investments and Derivative Instruments (continued) Security Unrealized\
    \ Loss Aging The following tables present the Company’s unrealized loss aging\
    \ for AFS securities by type and length of time the security was in a continuous\
    \ unrealized loss position.\n|  | December 31, 2011 |\n|  | Less Than 12 Months\
    \ | 12 Months or More | Total |\n|  | Amortized | Fair | Unrealized | Amortized\
    \ | Fair | Unrealized | Amortized | Fair | Unrealized |\n|  | Cost | Value | Losses\
    \ | Cost | Value | Losses | Cost | Value | Losses |\n| ABS | $629 | $594 | $-35\
    \ | $1,169 | $872 | $-297 | $1,798 | $1,466 | $-332 |\n| CDOs | 81 | 59 | -22\
    \ | 2,709 | 2,383 | -326 | 2,790 | 2,442 | -348 |\n| CMBS | 1,297 | 1,194 | -103\
    \ | 2,144 | 1,735 | -409 | 3,441 | 2,929 | -512 |\n| Corporate [1] | 4,388 | 4,219\
    \ | -169 | 3,268 | 2,627 | -570 | 7,656 | 6,846 | -739 |\n| Foreign govt./govt.\
    \ agencies | 218 | 212 | -6 | 51 | 47 | -4 | 269 | 259 | -10 |\n| Municipal |\
    \ 299 | 294 | -5 | 627 | 560 | -67 | 926 | 854 | -72 |\n| RMBS | 415 | 330 | -85\
    \ | 1,206 | 835 | -371 | 1,621 | 1,165 | -456 |\n| U.S. Treasuries | 343 | 341\
    \ | -2 | — | — | — | 343 | 341 | -2 |\n| Total fixed maturities | 7,670 | 7,243\
    \ | -427 | 11,174 | 9,059 | -2,044 | 18,844 | 16,302 | -2,471 |\n| Equity securities\
    \ | 167 | 138 | -29 | 439 | 265 | -174 | 606 | 403 | -203 |\n| Total securities\
    \ in an unrealized loss | $7,837 | $7,381 | $-456 | $11,613 | $9,324 | $-2,218\
    \ | $19,450 | $16,705 | $-2,674 |\nDecember 31, 2010\n|  | December 31, 2010 |\n\
    |  | Less Than 12 Months | 12 Months or More | Total |\n|  | Amortized | Fair\
    \ | Unrealized | Amortized | Fair | Unrealized | Amortized | Fair | Unrealized\
    \ |\n|  | Cost | Value | Losses | Cost | Value | Losses | Cost | Value | Losses\
    \ |\n| ABS | $302 | $290 | $-12 | $1,410 | $1,026 | $-384 | $1,712 | $1,316 |\
    \ $-396 |\n| CDOs | 321 | 293 | -28 | 2,724 | 2,274 | -450 | 3,045 | 2,567 | -478\
    \ |\n| CMBS | 556 | 530 | -26 | 3,962 | 3,373 | -589 | 4,518 | 3,903 | -615 |\n\
    | Corporate | 5,533 | 5,329 | -199 | 4,017 | 3,435 | -548 | 9,550 | 8,764 | -747\
    \ |\n| Foreign govt./govt. agencies | 356 | 349 | -7 | 78 | 68 | -10 | 434 | 417\
    \ | -17 |\n| Municipal | 7,485 | 7,173 | -312 | 1,046 | 863 | -183 | 8,531 | 8,036\
    \ | -495 |\n| RMBS | 1,744 | 1,702 | -42 | 1,567 | 1,147 | -420 | 3,311 | 2,849\
    \ | -462 |\n| U.S. Treasuries | 2,436 | 2,321 | -115 | 158 | 119 | -39 | 2,594\
    \ | 2,440 | -154 |\n| Total fixed maturities | 18,733 | 17,987 | -741 | 14,962\
    \ | 12,305 | -2,623 | 33,695 | 30,292 | -3,364 |\n| Equity securities | 53 | 52\
    \ | -1 | 637 | 506 | -131 | 690 | 558 | -132 |\n| Total securities in an unrealized\
    \ loss | $18,786 | $18,039 | $-742 | $15,599 | $12,811 | $-2,754 | $34,385 | $30,850\
    \ | $-3,496 |\n[1] Unrealized losses exclude the change in fair value of bifurcated\
    \ embedded derivative features of certain securities.\nSubsequent changes in fair\
    \ value are recorded in net realized capital gains (losses).\nAs of December 31,\
    \ 2011, AFS securities in an unrealized loss position, comprised of 2,549 securities,\
    \ primarily related to corporate securities within the financial services sector,\
    \ CMBS, and RMBS which have experienced significant price deterioration.\nAs of\
    \ December 31, 2011, 75% of these securities were depressed less than 20% of cost\
    \ or amortized cost.\nThe decline in unrealized losses during 2011 was primarily\
    \ attributable to a decline in interest rates, partially offset by credit spread\
    \ widening.\nMost of the securities depressed for twelve months or more relate\
    \ to structured securities with exposure to commercial and residential real estate,\
    \ as well as certain floating rate corporate securities or those securities with\
    \ greater than 10 years to maturity, concentrated in the financial services sector.\n\
    Current market spreads continue to be significantly wider for structured securities\
    \ with exposure to commercial and residential real estate, as compared to spreads\
    \ at the security’s respective purchase date, largely due to the economic and\
    \ market uncertainties regarding future performance of commercial and residential\
    \ real estate.\nIn addition, the majority of securities have a floating-rate coupon\
    \ referenced to a market index where rates have declined substantially.\nThe Company\
    \ neither has an intention to sell nor does it expect to be required to sell the\
    \ securities outlined above."
  - "Title: \nText: LOANS HELD FOR SALE Table 15: Loans Held For Sale\n| In millions\
    \ | December 312012 | December 312011 |\n| Commercial mortgages at fair value\
    \ | $772 | $843 |\n| Commercial mortgages at lower of cost or market | 620 | 451\
    \ |\n| Total commercial mortgages | 1,392 | 1,294 |\n| Residential mortgages at\
    \ fair value | 2,096 | 1,415 |\n| Residential mortgages at lower of cost or market\
    \ | 124 | 107 |\n| Total residential mortgages | 2,220 | 1,522 |\n| Other | 81\
    \ | 120 |\n| Total | $3,693 | $2,936 |\nWe stopped originating commercial mortgage\
    \ loans held for sale designated at fair value in 2008 and continue pursuing opportunities\
    \ to reduce these positions at appropriate prices.\nAt December 31, 2012, the\
    \ balance relating to these loans was $772 million, compared to $843 million at\
    \ December 31, 2011.\nWe sold $32 million in unpaid principal balances of these\
    \ commercial mortgage loans held for sale carried at fair value in 2012 and sold\
    \ $25 million in 2011."
  - "Title: \nText: at december 31 , 2012 , total future minimum commitments under\
    \ existing non-cancelable operat- ing leases and purchase obligations were as\
    \ follows: .\n\nin millions                | 2013   | 2014  | 2015  | 2016  |\
    \ 2017  | thereafter\n-------------------------- | ------ | ----- | ----- | -----\
    \ | ----- | ----------\nlease obligations          | $ 198  | $ 136 | $ 106 |\
    \ $ 70  | $ 50  | $ 141     \npurchase obligations ( a ) | 3213   | 828   | 722\
    \   | 620   | 808   | 2654      \ntotal                      | $ 3411 | $ 964\
    \ | $ 828 | $ 690 | $ 858 | $ 2795    \n\n( a ) includes $ 3.6 billion relating\
    \ to fiber supply agreements entered into at the time of the company 2019s 2006\
    \ transformation plan forestland sales and in conjunction with the 2008 acquis-\
    \ ition of weyerhaeuser company 2019s containerboard , packaging and recycling\
    \ business .\nrent expense was $ 231 million , $ 205 million and $ 210 million\
    \ for 2012 , 2011 and 2010 , respectively .\nguarantees in connection with sales\
    \ of businesses , property , equipment , forestlands and other assets , interna-\
    \ tional paper commonly makes representations and warranties relating to such\
    \ businesses or assets , and may agree to indemnify buyers with respect to tax\
    \ and environmental liabilities , breaches of representations and warranties ,\
    \ and other matters .\nwhere liabilities for such matters are determined to be\
    \ probable and subject to reasonable estimation , accrued liabilities are recorded\
    \ at the time of sale as a cost of the transaction .\nenvironmental proceedings\
    \ international paper has been named as a potentially responsible party in environmental\
    \ remediation actions under various federal and state laws , includ- ing the comprehensive\
    \ environmental response , compensation and liability act ( cercla ) .\nmany of\
    \ these proceedings involve the cleanup of hazardous substances at large commercial\
    \ landfills that received waste from many different sources .\nwhile joint and\
    \ several liability is authorized under cercla and equivalent state laws , as\
    \ a practical matter , liability for cercla cleanups is typically allocated among\
    \ the many potential responsible parties .\nremedial costs are recorded in the\
    \ consolidated financial statements when they become probable and reasonably estimable\
    \ .\ninternational paper has estimated the probable liability associated with\
    \ these matters to be approximately $ 92 million in the aggregate at december\
    \ 31 , 2012 .\none of the matters referenced above is a closed wood treating facility\
    \ located in cass lake , minneso- ta .\nduring 2009 , in connection with an environmental\
    \ site remediation action under cercla , international paper submitted to the\
    \ epa a site remediation feasi- bility study .\nin june 2011 , the epa selected\
    \ and published a proposed soil remedy at the site with an estimated cost of $\
    \ 46 million .\nthe overall remediation reserve for the site is currently $ 48\
    \ mil- lion to address this selection of an alternative for the soil remediation\
    \ component of the overall site remedy .\nin october 2011 , the epa released a\
    \ public statement indicating that the final soil remedy deci- sion would be delayed\
    \ .\nin the unlikely event that the epa changes its proposed soil remedy and approves\
    \ instead a more expensive clean-up alternative , the remediation costs could\
    \ be material , and sig- nificantly higher than amounts currently recorded .\n\
    in october 2012 , the natural resource trustees for this site provided notice\
    \ to international paper and other potentially responsible parties of their intent\
    \ to per- form a natural resource damage assessment .\nit is premature to predict\
    \ the outcome of the assessment or to estimate a loss or range of loss , if any\
    \ , which may be incurred .\nin addition to the above matters , other remediation\
    \ costs typically associated with the cleanup of hazardous substances at the company\
    \ 2019s current , closed or formerly-owned facilities , and recorded as liabilities\
    \ in the balance sheet , totaled approximately $ 46 million at december 31 , 2012\
    \ .\nother than as described above , completion of required remedial actions is\
    \ not expected to have a material effect on our consolidated financial statements\
    \ .\nthe company is a potentially responsible party with respect to the allied\
    \ paper , inc./portage creek/ kalamazoo river superfund site ( kalamazoo river\
    \ superfund site ) in michigan .\nthe epa asserts that the site is contaminated\
    \ primarily by pcbs as a result of discharges from various paper mills located\
    \ along the river , including a paper mill formerly owned by st .\nregis .\nthe\
    \ company is a successor in interest to st .\nregis .\ninternational paper has\
    \ not received any orders from the epa with respect to the site and is in the\
    \ process of collecting information from the epa and other parties relative to\
    \ the kalamazoo river superfund site to evaluate the extent of its liability ,\
    \ if any , with respect to the site .\naccordingly , it is pre- mature to estimate\
    \ a loss or range of loss with respect to this site .\nalso in connection with\
    \ the kalamazoo river superfund site , the company was named as a defendant by\
    \ georgia-pacific consumer products lp , fort james corporation and georgia pacific\
    \ llc in a contribution and cost recovery action for alleged pollution at the\
    \ kalamazoo river super- fund site .\nthe suit seeks contribution under cercla\
    \ for $ 79 million in costs purportedly expended by plaintiffs as of the filing\
    \ of the com- plaint , and for future remediation costs .\nthe suit alleges that\
    \ a mill , during the time it was allegedly owned and operated by st .\nregis\
    \ , discharged pcb contaminated solids and paper residuals resulting from paper\
    \ de-inking and recycling .\nalso named as defendants in the suit are ncr corporation\
    \ and weyerhaeuser company .\nin mid-2011 , the suit was "
model-index:
- name: SentenceTransformer based on dunzhang/stella_en_400M_v5
  results:
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: Evaluate
      type: Evaluate
    metrics:
    - type: cosine_accuracy@1
      value: 0.3616504854368932
      name: Cosine Accuracy@1
    - type: cosine_accuracy@3
      value: 0.5194174757281553
      name: Cosine Accuracy@3
    - type: cosine_accuracy@5
      value: 0.6092233009708737
      name: Cosine Accuracy@5
    - type: cosine_accuracy@10
      value: 0.7014563106796117
      name: Cosine Accuracy@10
    - type: cosine_precision@1
      value: 0.3616504854368932
      name: Cosine Precision@1
    - type: cosine_precision@3
      value: 0.17880258899676374
      name: Cosine Precision@3
    - type: cosine_precision@5
      value: 0.12669902912621356
      name: Cosine Precision@5
    - type: cosine_precision@10
      value: 0.07524271844660194
      name: Cosine Precision@10
    - type: cosine_recall@1
      value: 0.33098705501618125
      name: Cosine Recall@1
    - type: cosine_recall@3
      value: 0.4768203883495145
      name: Cosine Recall@3
    - type: cosine_recall@5
      value: 0.5613673139158576
      name: Cosine Recall@5
    - type: cosine_recall@10
      value: 0.6548139158576051
      name: Cosine Recall@10
    - type: cosine_ndcg@10
      value: 0.49595926983262306
      name: Cosine Ndcg@10
    - type: cosine_mrr@10
      value: 0.4667870627215285
      name: Cosine Mrr@10
    - type: cosine_map@100
      value: 0.44823876084168546
      name: Cosine Map@100
    - type: dot_accuracy@1
      value: 0.3325242718446602
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.5242718446601942
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.5922330097087378
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.6747572815533981
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.3325242718446602
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.1796116504854369
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.12475728155339803
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.07257281553398058
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.30590614886731393
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.4762135922330097
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.54457928802589
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.6272653721682848
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.47234567950079603
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.4421887039605485
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.4264453452263192
      name: Dot Map@100
---

# SentenceTransformer based on dunzhang/stella_en_400M_v5

This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [dunzhang/stella_en_400M_v5](https://huggingface.co/dunzhang/stella_en_400M_v5). It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

## Model Details

### Model Description
- **Model Type:** Sentence Transformer
- **Base model:** [dunzhang/stella_en_400M_v5](https://huggingface.co/dunzhang/stella_en_400M_v5) <!-- at revision 24e2e1ffe95e95d807989938a5f3b8c18ee651f5 -->
- **Maximum Sequence Length:** 512 tokens
- **Output Dimensionality:** 1024 tokens
- **Similarity Function:** Cosine Similarity
<!-- - **Training Dataset:** Unknown -->
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->

### Model Sources

- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)

### Full Model Architecture

```
SentenceTransformer(
  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: NewModel 
  (1): Pooling({'word_embedding_dimension': 1024, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
  (2): Dense({'in_features': 1024, 'out_features': 1024, 'bias': True, 'activation_function': 'torch.nn.modules.linear.Identity'})
)
```

## Usage

### Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

```bash
pip install -U sentence-transformers
```

Then you can load this model and run inference.
```python
from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
    'Instruct: Given a web search query, retrieve relevant passages that answer the query.\nQuery: Title: \nText: what was the average for "other" loans held in 2012 and 2011?',
    'Title: \nText: LOANS HELD FOR SALE Table 15: Loans Held For Sale\n| In millions | December 312012 | December 312011 |\n| Commercial mortgages at fair value | $772 | $843 |\n| Commercial mortgages at lower of cost or market | 620 | 451 |\n| Total commercial mortgages | 1,392 | 1,294 |\n| Residential mortgages at fair value | 2,096 | 1,415 |\n| Residential mortgages at lower of cost or market | 124 | 107 |\n| Total residential mortgages | 2,220 | 1,522 |\n| Other | 81 | 120 |\n| Total | $3,693 | $2,936 |\nWe stopped originating commercial mortgage loans held for sale designated at fair value in 2008 and continue pursuing opportunities to reduce these positions at appropriate prices.\nAt December 31, 2012, the balance relating to these loans was $772 million, compared to $843 million at December 31, 2011.\nWe sold $32 million in unpaid principal balances of these commercial mortgage loans held for sale carried at fair value in 2012 and sold $25 million in 2011.',
    'Title: \nText: Investments and Derivative Instruments (continued) Security Unrealized Loss Aging The following tables present the Company’s unrealized loss aging for AFS securities by type and length of time the security was in a continuous unrealized loss position.\n|  | December 31, 2011 |\n|  | Less Than 12 Months | 12 Months or More | Total |\n|  | Amortized | Fair | Unrealized | Amortized | Fair | Unrealized | Amortized | Fair | Unrealized |\n|  | Cost | Value | Losses | Cost | Value | Losses | Cost | Value | Losses |\n| ABS | $629 | $594 | $-35 | $1,169 | $872 | $-297 | $1,798 | $1,466 | $-332 |\n| CDOs | 81 | 59 | -22 | 2,709 | 2,383 | -326 | 2,790 | 2,442 | -348 |\n| CMBS | 1,297 | 1,194 | -103 | 2,144 | 1,735 | -409 | 3,441 | 2,929 | -512 |\n| Corporate [1] | 4,388 | 4,219 | -169 | 3,268 | 2,627 | -570 | 7,656 | 6,846 | -739 |\n| Foreign govt./govt. agencies | 218 | 212 | -6 | 51 | 47 | -4 | 269 | 259 | -10 |\n| Municipal | 299 | 294 | -5 | 627 | 560 | -67 | 926 | 854 | -72 |\n| RMBS | 415 | 330 | -85 | 1,206 | 835 | -371 | 1,621 | 1,165 | -456 |\n| U.S. Treasuries | 343 | 341 | -2 | — | — | — | 343 | 341 | -2 |\n| Total fixed maturities | 7,670 | 7,243 | -427 | 11,174 | 9,059 | -2,044 | 18,844 | 16,302 | -2,471 |\n| Equity securities | 167 | 138 | -29 | 439 | 265 | -174 | 606 | 403 | -203 |\n| Total securities in an unrealized loss | $7,837 | $7,381 | $-456 | $11,613 | $9,324 | $-2,218 | $19,450 | $16,705 | $-2,674 |\nDecember 31, 2010\n|  | December 31, 2010 |\n|  | Less Than 12 Months | 12 Months or More | Total |\n|  | Amortized | Fair | Unrealized | Amortized | Fair | Unrealized | Amortized | Fair | Unrealized |\n|  | Cost | Value | Losses | Cost | Value | Losses | Cost | Value | Losses |\n| ABS | $302 | $290 | $-12 | $1,410 | $1,026 | $-384 | $1,712 | $1,316 | $-396 |\n| CDOs | 321 | 293 | -28 | 2,724 | 2,274 | -450 | 3,045 | 2,567 | -478 |\n| CMBS | 556 | 530 | -26 | 3,962 | 3,373 | -589 | 4,518 | 3,903 | -615 |\n| Corporate | 5,533 | 5,329 | -199 | 4,017 | 3,435 | -548 | 9,550 | 8,764 | -747 |\n| Foreign govt./govt. agencies | 356 | 349 | -7 | 78 | 68 | -10 | 434 | 417 | -17 |\n| Municipal | 7,485 | 7,173 | -312 | 1,046 | 863 | -183 | 8,531 | 8,036 | -495 |\n| RMBS | 1,744 | 1,702 | -42 | 1,567 | 1,147 | -420 | 3,311 | 2,849 | -462 |\n| U.S. Treasuries | 2,436 | 2,321 | -115 | 158 | 119 | -39 | 2,594 | 2,440 | -154 |\n| Total fixed maturities | 18,733 | 17,987 | -741 | 14,962 | 12,305 | -2,623 | 33,695 | 30,292 | -3,364 |\n| Equity securities | 53 | 52 | -1 | 637 | 506 | -131 | 690 | 558 | -132 |\n| Total securities in an unrealized loss | $18,786 | $18,039 | $-742 | $15,599 | $12,811 | $-2,754 | $34,385 | $30,850 | $-3,496 |\n[1] Unrealized losses exclude the change in fair value of bifurcated embedded derivative features of certain securities.\nSubsequent changes in fair value are recorded in net realized capital gains (losses).\nAs of December 31, 2011, AFS securities in an unrealized loss position, comprised of 2,549 securities, primarily related to corporate securities within the financial services sector, CMBS, and RMBS which have experienced significant price deterioration.\nAs of December 31, 2011, 75% of these securities were depressed less than 20% of cost or amortized cost.\nThe decline in unrealized losses during 2011 was primarily attributable to a decline in interest rates, partially offset by credit spread widening.\nMost of the securities depressed for twelve months or more relate to structured securities with exposure to commercial and residential real estate, as well as certain floating rate corporate securities or those securities with greater than 10 years to maturity, concentrated in the financial services sector.\nCurrent market spreads continue to be significantly wider for structured securities with exposure to commercial and residential real estate, as compared to spreads at the security’s respective purchase date, largely due to the economic and market uncertainties regarding future performance of commercial and residential real estate.\nIn addition, the majority of securities have a floating-rate coupon referenced to a market index where rates have declined substantially.\nThe Company neither has an intention to sell nor does it expect to be required to sell the securities outlined above.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 1024]

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

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## Evaluation

### Metrics

#### Information Retrieval
* Dataset: `Evaluate`
* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator)

| Metric              | Value      |
|:--------------------|:-----------|
| cosine_accuracy@1   | 0.3617     |
| cosine_accuracy@3   | 0.5194     |
| cosine_accuracy@5   | 0.6092     |
| cosine_accuracy@10  | 0.7015     |
| cosine_precision@1  | 0.3617     |
| cosine_precision@3  | 0.1788     |
| cosine_precision@5  | 0.1267     |
| cosine_precision@10 | 0.0752     |
| cosine_recall@1     | 0.331      |
| cosine_recall@3     | 0.4768     |
| cosine_recall@5     | 0.5614     |
| cosine_recall@10    | 0.6548     |
| cosine_ndcg@10      | 0.496      |
| cosine_mrr@10       | 0.4668     |
| **cosine_map@100**  | **0.4482** |
| dot_accuracy@1      | 0.3325     |
| dot_accuracy@3      | 0.5243     |
| dot_accuracy@5      | 0.5922     |
| dot_accuracy@10     | 0.6748     |
| dot_precision@1     | 0.3325     |
| dot_precision@3     | 0.1796     |
| dot_precision@5     | 0.1248     |
| dot_precision@10    | 0.0726     |
| dot_recall@1        | 0.3059     |
| dot_recall@3        | 0.4762     |
| dot_recall@5        | 0.5446     |
| dot_recall@10       | 0.6273     |
| dot_ndcg@10         | 0.4723     |
| dot_mrr@10          | 0.4422     |
| dot_map@100         | 0.4264     |

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## Training Details

### Training Dataset

#### Unnamed Dataset


* Size: 2,256 training samples
* Columns: <code>sentence_0</code> and <code>sentence_1</code>
* Approximate statistics based on the first 1000 samples:
  |         | sentence_0                                                                          | sentence_1                                                                          |
  |:--------|:------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|
  | type    | string                                                                              | string                                                                              |
  | details | <ul><li>min: 29 tokens</li><li>mean: 45.01 tokens</li><li>max: 121 tokens</li></ul> | <ul><li>min: 26 tokens</li><li>mean: 406.1 tokens</li><li>max: 512 tokens</li></ul> |
* Samples:
  | sentence_0                                                                                                                                                                                                                                                                            | sentence_1                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             |
  |:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
  | <code>Instruct: Given a web search query, retrieve relevant passages that answer the query.<br>Query: Title: <br>Text: In the year with largest amount of Net credit losses, what's the amount of Revenues, net of interest expense and Total operating expenses? (in million)</code> | <code>Title: <br>Text: Comparison of Five-Year Cumulative Total Return The following graph compares the cumulative total return on Citigroup’s common stock with the S&P 500 Index and the S&P Financial Index over the five-year period extending through December31, 2009.<br>The graph assumes that $100 was invested on December31, 2004 in Citigroup’s common stock, the S&P 500 Index and the S&P Financial Index and that all dividends were reinvested.</code>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 |
  | <code>Instruct: Given a web search query, retrieve relevant passages that answer the query.<br>Query: Title: <br>Text: what was the total of net earnings attributable to pmi in 2017?</code>                                                                                         | <code>Title: <br>Text: the fair value of the psu award at the date of grant is amortized to expense over the performance period , which is typically three years after the date of the award , or upon death , disability or reaching the age of 58 .<br>as of december 31 , 2017 , pmi had $ 34 million of total unrecognized compensation cost related to non-vested psu awards .<br>this cost is recognized over a weighted-average performance cycle period of two years , or upon death , disability or reaching the age of 58 .<br>during the years ended december 31 , 2017 , and 2016 , there were no psu awards that vested .<br>pmi did not grant any psu awards during note 10 .<br>earnings per share : unvested share-based payment awards that contain non-forfeitable rights to dividends or dividend equivalents are participating securities and therefore are included in pmi 2019s earnings per share calculation pursuant to the two-class method .<br>basic and diluted earnings per share ( 201ceps 201d ) were calculated using the following: .<br><br>( in millions )                                                                        | for the years ended december 31 , 2017 | for the years ended december 31 , 2016 | for the years ended december 31 , 2015<br>-------------------------------------------------------------------------------------- | -------------------------------------- | -------------------------------------- | --------------------------------------<br>net earnings attributable to pmi                                                       | $ 6035                                 | $ 6967                                 | $ 6873                                <br>less distributed and undistributed earnings attributable to share-based payment awards | 14                                     | 19                                     | 24                                    <br>net earnings for basic and diluted eps                                                 | $ 6021                                 | $ 6948                                 | $ 6849                                <br>weighted-average shares for basic eps                                                  | 1552                                   | 1551                                   | 1549                                  <br>plus contingently issuable performance stock units ( psus )                            | 1                                      | 2014                                   | 2014                                  <br>weighted-average shares for diluted eps                                                | 1553                                   | 1551                                   | 1549                                  <br><br>for the 2017 , 2016 and 2015 computations , there were no antidilutive stock options. </code>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               |
  | <code>Instruct: Given a web search query, retrieve relevant passages that answer the query.<br>Query: Title: <br>Text: for the terrestar acquisition what will the final cash purchase price be in millions paid upon closing?</code>                                                 | <code>Title: <br>Text: dish network corporation notes to consolidated financial statements - continued this transaction was accounted for as a business combination using purchase price accounting .<br>the allocation of the purchase consideration is in the table below .<br>purchase allocation ( in thousands ) .<br><br>                        | purchase price allocation ( in thousands )<br>----------------------- | ------------------------------------------<br>cash                    | $ 107061                                  <br>current assets          | 153258                                    <br>property and equipment  | 28663                                     <br>acquisition intangibles | 17826                                     <br>other noncurrent assets | 12856                                     <br>current liabilities     | -86080 ( 86080 )                          <br>total purchase price    | $ 233584                                  <br><br>the pro forma revenue and earnings associated with the blockbuster acquisition are not included in this filing .<br>due to the material ongoing modifications of the business , management has determined that insufficient information exists to accurately develop meaningful historical pro forma financial information .<br>moreover , the historical operations of blockbuster materially changed during the periods preceding the acquisition as a result of blockbuster inc . 2019s bankruptcy proceedings , and any historical pro forma information would not prove useful in assessing our post acquisition earnings and cash flows .<br>the cost of goods sold on a unit basis for blockbuster in the current period was lower-than-historical costs .<br>the carrying values in the current period of the rental library and merchandise inventories ( 201cblockbuster inventory 201d ) were reduced to their estimated fair value due to the application of purchase accounting .<br>this impact on cost of goods sold on a unit basis will diminish in the future as we purchase new blockbuster inventory .<br>10 .<br>spectrum investments terrestar transaction gamma acquisition l.l.c .<br>( 201cgamma 201d ) , a wholly-owned subsidiary of dish network , entered into the terrestar transaction on june 14 , 2011 .<br>on july 7 , 2011 , the u.s .<br>bankruptcy court for the southern district of new york approved the asset purchase agreement with terrestar and we subsequently paid $ 1.345 billion of the cash purchase price .<br>dish network is a party to the asset purchase agreement solely with respect to certain guaranty obligations .<br>we have paid all but $ 30 million of the purchase price for the terrestar transaction , which will be paid upon closing of the terrestar transaction , or upon certain other conditions being met under the asset purchase agreement .<br>consummation of the acquisition contemplated in the asset purchase agreement is subject to , among other things , approval by the fcc .<br>on february 7 , 2012 , the canadian federal department of industry ( 201cindustry canada 201d ) approved the transfer of the canadian spectrum licenses held by terrestar to us .<br>if the remaining required approvals are not obtained , subject to certain exceptions , we have the right to require and direct the sale of some or all of the terrestar assets to a third party and we would be entitled to the proceeds from such a sale .<br>these proceeds could , however , be substantially less than amounts we have paid in the terrestar transaction .<br>additionally , gamma is responsible for providing certain working capital and certain administrative expenses of terrestar and certain of its subsidiaries after december 31 , 2011 .<br>we expect that the terrestar transaction will be accounted for as a business combination using purchase price accounting .<br>we also expect to allocate the purchase price to the various components of the acquisition based upon the fair value of each component using various valuation techniques , including the market approach , income approach and/or cost approach .<br>we expect the purchase price of the terrestar assets to be allocated to , among other things , spectrum and satellites. </code> |
* Loss: [<code>MultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativesrankingloss) with these parameters:
  ```json
  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  ```

### Training Hyperparameters
#### Non-Default Hyperparameters

- `eval_strategy`: steps
- `per_device_train_batch_size`: 16
- `per_device_eval_batch_size`: 16
- `num_train_epochs`: 2
- `fp16`: True
- `batch_sampler`: no_duplicates
- `multi_dataset_batch_sampler`: round_robin

#### All Hyperparameters
<details><summary>Click to expand</summary>

- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: steps
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 16
- `per_device_eval_batch_size`: 16
- `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`: 0.0
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1
- `num_train_epochs`: 2
- `max_steps`: -1
- `lr_scheduler_type`: linear
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.0
- `warmup_steps`: 0
- `log_level`: passive
- `log_level_replica`: warning
- `log_on_each_node`: True
- `logging_nan_inf_filter`: True
- `save_safetensors`: True
- `save_on_each_node`: False
- `save_only_model`: False
- `restore_callback_states_from_checkpoint`: False
- `no_cuda`: False
- `use_cpu`: False
- `use_mps_device`: False
- `seed`: 42
- `data_seed`: None
- `jit_mode_eval`: False
- `use_ipex`: False
- `bf16`: False
- `fp16`: 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`: False
- `hub_always_push`: False
- `gradient_checkpointing`: False
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `eval_do_concat_batches`: True
- `fp16_backend`: auto
- `push_to_hub_model_id`: None
- `push_to_hub_organization`: None
- `mp_parameters`: 
- `auto_find_batch_size`: False
- `full_determinism`: False
- `torchdynamo`: None
- `ray_scope`: last
- `ddp_timeout`: 1800
- `torch_compile`: False
- `torch_compile_backend`: None
- `torch_compile_mode`: None
- `dispatch_batches`: None
- `split_batches`: None
- `include_tokens_per_second`: False
- `include_num_input_tokens_seen`: False
- `neftune_noise_alpha`: None
- `optim_target_modules`: None
- `batch_eval_metrics`: False
- `eval_on_start`: False
- `use_liger_kernel`: False
- `eval_use_gather_object`: False
- `batch_sampler`: no_duplicates
- `multi_dataset_batch_sampler`: round_robin

</details>

### Training Logs
| Epoch | Step | Evaluate_cosine_map@100 |
|:-----:|:----:|:-----------------------:|
| 0     | 0    | 0.2566                  |
| 1.0   | 141  | 0.3931                  |
| 2.0   | 282  | 0.4482                  |


### Framework Versions
- Python: 3.10.12
- Sentence Transformers: 3.1.1
- Transformers: 4.45.2
- PyTorch: 2.5.1+cu121
- Accelerate: 1.1.1
- Datasets: 3.1.0
- Tokenizers: 0.20.3

## Citation

### BibTeX

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

#### MultipleNegativesRankingLoss
```bibtex
@misc{henderson2017efficient,
    title={Efficient Natural Language Response Suggestion for Smart Reply},
    author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
    year={2017},
    eprint={1705.00652},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}
```

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