metadata
base_model: BAAI/bge-large-en-v1.5
datasets: []
language: []
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:98560
- loss:MultipleNegativesRankingLoss
widget:
- source_sentence: >-
Which bond has the longest maturity date, and what is the name of the
issuing company?
sentences:
- >-
Vanguard EUR Corporate Bond UCITS ETF Managed by Vanguard Global
Advisers, LLC.497 Investment Objective Vanguard EUR Corporate Bond UCITS
ETF seeks to track the performance of the Bloomberg Euro-Aggregate:
Corporates Index, a widely recognised benchmark designed to reflect the
total universe of publicly traded, fixed-coupon, euro-denominated,
investment-grade corporate bonds with maturities greater than 1 year and
a minimum issue size of €300 million. Performance Summary (unaudited)
The Performance Summary does not form part of the Financial Statements.
• Inflation and policymakers’ efforts to rein it in took centre stage
for the financial markets during much of the 12 months ended 30 June
2023. • Early in the period, energy prices continued to cool amid an
outlook for slower economic growth, but price increases then broadened
to other categories, notably the services sector, which felt the effects
of tight labour markets. Central banks including the US Federal Reserve,
the European Central Bank and the Bank of England reacted to the
prospect of inflation remaining stubbornly high by aggressively hiking
interest rates even as their actions fanned fears of a global recession
down the road. • Although progress was slow, signs of inflation
moderating later in the period led several major central banks to slow
the pace of their interest rate hikes or even hit the pause button. •
Bonds suffered early in the fiscal year amid aggressive rate hiking and
later when markets began to anticipate that rates would remain higher
for longer. With rising yields pushing prices down, global bonds ended
the 12 months in negative territory. • The ETF ’s benchmark index
returned 0.14% for the 12-month period. • Among the largest constituents
in the index, Italy, Austria and Belgium performed better than the index
as a whole. Among the laggards finishing in negative territory were
Sweden, the United States and Finland. • By sector, bonds issued by
utilities returned more than those issued by industrial companies and
financial institutions. • Longer-dated and lower-quality bonds generally
performed better. Benchmark returns in the commentary above are in
euros. Benchmark: Bloomberg Euro-Aggregate: Corporates Index Total
Returns Periods Ended 30 June 2023 (Annualised for periods over one
year) One Year Five YearsTen Years or Since Inception1 EUR Accumulating
-0.08 % — -1.60 % Benchmark 0.14 — -1.48 Tracking Difference* -0.22 EUR
Distributing -0.08 % -1.15 % -0.04 % Benchmark 0.14 -1.06 0.05 Tracking
Difference* -0.22 Sources: Vanguard Global Advisers, LLC, and Bloomberg.
Returns are based on NAV with income reinvested. All of the returns in
this report represent past performance, which is not a guarantee of
future results that may be achieved by the fund. For performance data
current to the most recent month-end, which may be higher or lower than
that cited, visit our website at http://global.vanguard.com. Note, too,
that both investment returns and principal value can fluctuate widely,
so an investor 's shares, when sold, could be worth more or less than
their original cost. * The tracking difference between the fund return
and the index return over a stated period of time can be attributed to a
number of factors, including, without limitation, small differences in
weightings, trading activity, transaction costs and differences in the
valuation and withholding tax treatment between the fund and the index
vendor. 1 Since-inception returns: EUR Accumulating, 19 February 2019;
EUR Distributing, 24 February 2016.
- >-
We continue to evaluate the expanded use of strategic locations,
including cities in which we do not currently have a presence. As of
December 2023 , 41% of our employees were working in strategic
locations. We believe our investment in these strategic locations
enables us to build centers of excellence around specific capabilities
that support our business initiatives. Sustainability We have a
long-standing commitment to sustainability. Our two priorities in this
area are helping clients across industries decarbonize their businesses
to support their transition to a low-carbon economy (Climate Transition)
and to advance solutions that expand access, increase affordability, and
drive outcomes to support sustainable economic growth (Inclusive
Growth). Our strategy is to advance these two priorities through our
work with our clients, and with strategic partners whose strengths and
areas of focus complement our own, as well as through our supply chain.
We established a Sustainable Finance Group (SFG), which serves as the
centralized group that drives climate strategy and sustainability
efforts across our firm, including commercial efforts alongside our
businesses, to advance Climate Transition and Inclusive Growth. Since
establishing SFG, our sustainable finance-related efforts have continued
to evolve. For example, within Global Banking & Markets, we established
the Sustainable Banking Group, a group focused on supporting our
corporate clients in reducing their direct and indirect carbon
emissions. Within Asset & Wealth Management there are multiple teams
that specialize in sustainable investing. The Sustainability & Impact
Solutions team in Asset & Wealth Management also helps mobilize the full
range of insights, advisory services and investment solutions across our
asset management client segments.THE GOLDMAN SACHS GROUP, INC. AND
SUBSIDIARIES Goldman Sachs 2023 Form 10-K 7
- >-
$75,000 1.40% 1/9/2030 59,430 0.01% Brighthouse Financial, Inc. $78,000
4.70% 22/6/2047 59,389 0.01% Conagra Brands, Inc. $70,000 1.38%
1/11/2027 59,352 0.01% CVS Health Corp. $85,000 2.70% 21/8/2040 59,267
0.01% Microsoft Corp. $65,000 3.45% 8/8/2036 59,262 0.01% Athene Holding
Ltd. $65,000 4.13% 12/1/2028 59,256 0.01% Microsoft Corp. $60,000 4.45%
3/11/2045 59,157 0.01% Chubb Corp. $55,000 6.00% 11/5/2037 59,057 0.01%
Apple, Inc.1$80,000 2.38% 8/2/2041 59,017 0.01% Home Depot, Inc. $95,000
2.38% 15/3/2051 58,966 0.01% Gilead Sciences, Inc. $87,000 2.80%
1/10/2050 58,926 0.01% Lowe's Cos, Inc. $65,000 3.75% 1/4/2032 58,772
0.01% Bank of America NA $55,000 6.00% 15/10/2036 58,768 0.01% Morgan
Stanley $67,000 4.30% 27/1/2045 58,612 0.01% Amazon.com, Inc. $65,000
1.00% 12/5/2026 58,448 0.01% Cigna Group $60,000 4.13% 15/11/2025 58,429
0.01% Mastercard, Inc. $70,000 3.65% 1/6/2049 58,395 0.01% Marsh &
McLennan Cos, Inc. $70,000 2.25% 15/11/2030 58,218 0.01% Amgen, Inc.
$70,000 2.30% 25/2/2031 58,168 0.01% Crown Castle, Inc. $85,000 3.25%
15/1/2051 58,134 0.01% Comcast Corp. $70,000 4.00% 1/11/2049 58,108
0.01% American Express Co. $60,000 2.50% 30/7/2024 58,013 0.01% FedEx
Corp. $65,000 4.75% 15/11/2045 58,009 0.01% Comcast Corp. $60,000 3.38%
15/8/2025 57,927 0.01% Zimmer Biomet Holdings, Inc. $60,000 3.55%
1/4/2025 57,869 0.01% Charter Communications Operating LLC/Charter
Communications Operating Capital $70,000 5.38% 1/5/2047 57,847 0.01%
Huntington National Bank $60,000 5.65% 10/1/2030 57,626 0.01% Intel
Corp. $90,000 3.10% 15/2/2060 57,605 0.01% Northern Trust Corp. $70,000
1.95% 1/5/2030 57,586 0.01% Eli Lilly & Co.
- source_sentence: >-
What is the interest rate of the bond issued by Public Service Co. of
Colorado, and when does it mature?
sentences:
- >-
CAD50,000 5.70% 9/11/2027 38,543 0.00% Hyundai Capital Canada, Inc.
CAD55,000 3.20% 16/2/2027 38,219 0.00% TELUS Corp. CAD55,000 3.30%
2/5/2029 37,952 0.00% Royal Bank of Canada CAD60,000 1.67% 28/1/2033
37,930 0.00% Inter Pipeline Ltd. CAD50,000 5.71% 29/5/2030 37,831 0.00%
Inter Pipeline Ltd. CAD50,000 5.85% 18/5/2032 37,676 0.00% Enbridge Gas,
Inc. CAD55,000 2.90% 1/4/2030 37,496 0.00% Province of New Brunswick
Canada CAD50,000 3.95% 14/8/2032 37,469 0.00% Canadian Tire Corp., Ltd.
CAD50,000 5.61% 4/9/2035 37,458 0.00% Toronto-Dominion Bank CAD50,000
3.23% 24/7/2024 36,962 0.00% Dream Summit Industrial LP CAD55,000 2.25%
12/1/2027 36,942 0.00% Enbridge Gas, Inc. CAD50,000 4.55% 17/8/2052
36,928 0.00% OMERS Realty Corp. CAD50,000 4.54% 9/4/2029 36,924 0.00%
TELUS Corp. CAD60,000 4.10% 5/4/2051 36,720 0.00% Federation des Caisses
Desjardins du Quebec CAD50,000 4.41% 19/5/2027 36,691 0.00% Canada
Housing Trust No 1 CAD55,000 1.90% 15/3/2031 36,424 0.00% Enbridge Gas,
Inc. CAD50,000 4.15% 17/8/2032 36,396 0.00% Province of New Brunswick
Canada CAD45,000 4.80% 3/6/2041 36,265 0.00% CT CAD60,000 2.37% 6/1/2031
36,222 0.00% Finning International, Inc. CAD50,000 5.08% 13/6/2042
36,143 0.00% Bell Telephone Co. of Canada or Bell Canada CAD50,000 3.80%
21/8/2028 35,730 0.00% TransCanada PipeLines Ltd. $40,000 5.00%
16/10/2043 35,705 0.00% EPCOR Utilities, Inc. CAD55,000 2.41% 30/6/2031
35,588 0.00% Rogers Communications, Inc. CAD50,000 5.25% 15/4/2052
35,436 0.00% Bank of Montreal CAD50,000 2.08% 17/6/2030 35,111 0.00%
- >-
50,000 2.65% 15/1/2032 37,370 0.00% Public Service Co. of Colorado
40,000 4.10% 1/6/2032 37,223 0.00% Phillips Edison Grocery Center
Operating Partnership I LP 50,000 2.63% 15/11/2031 37,172 0.00% Corning,
Inc. 40,000 4.70% 15/3/2037 37,091 0.00% Blackstone Holdings Finance Co.
LLC 50,000 4.00% 2/10/2047 37,025 0.00% Oncor Electric Delivery Co. LLC
40,000 4.55% 1/12/2041 36,833 0.00% Entergy Mississippi LLC 50,000 3.50%
1/6/2051 36,806 0.00% Banner Health 50,000 2.91% 1/1/2042 36,544 0.00%
Orlando Health Obligated Group 50,000 3.33% 1/10/2050 36,540 0.00%
Arizona Public Service Co. 40,000 2.95% 15/9/2027 36,388 0.00% MultiCare
Health System 60,000 2.80% 15/8/2050 36,301 0.00% West Virginia United
Health System Obligated Group 55,000 3.13% 1/6/2050 36,285 0.00% Public
Service Electric & Gas Co. 50,000 3.15% 1/1/2050 36,198 0.00% Leggett &
Platt, Inc. 50,000 3.50% 15/11/2051 36,166 0.00% University of Chicago
50,000 3.00% 1/10/2052 36,075 0.00% STORE Capital Corp. 50,000 2.75%
18/11/2030 36,057 0.00% ERP Operating LP 46,000 4.00% 1/8/2047 36,025
0.00% Emory University 50,000 2.97% 1/9/2050 35,873 0.00% San Diego Gas
& Electric Co. 50,000 3.32% 15/4/2050 35,755 0.00% OneAmerica Financial
Partners, Inc. 50,000 4.25% 15/10/2050 35,752 0.00% Arizona Public
Service Co. 45,000 4.25% 1/3/2049 35,649 0.00% W R Berkley Corp. 50,000
3.55% 30/3/2052 35,567 0.00%
- >-
375,000 4.75% 1/12/2025 368,735 0.02% Vulcan Materials Co. 375,000 4.50%
1/4/2025 367,796 0.02% National Fuel Gas Co. 375,000 5.20% 15/7/2025
367,544 0.02% Trane Technologies Luxembourg Finance SA 385,000 3.50%
21/3/2026 367,408 0.02% CNO Global Funding 395,000 1.65% 6/1/2025
367,190 0.02% Prudential Financial, Inc. 400,000 1.50% 10/3/2026 365,739
0.02% Hanover Insurance Group, Inc. 375,000 4.50% 15/4/2026 363,094
0.02% Prudential Insurance Co. of America 350,000 8.30% 1/7/2025 362,568
0.02% Protective Life Global Funding 400,000 1.17% 15/7/2025 362,098
0.02% GLP Capital LP/GLP Financing II, Inc. 375,000 3.35% 1/9/2024
362,002 0.02% Healthpeak OP LLC 375,000 4.00% 1/6/2025 361,843 0.02%
AutoNation, Inc. 375,000 3.50% 15/11/2024 361,718 0.02% United Airlines
2020-1 Class B Pass Through Trust 376,750 4.88% 15/1/2026 361,301 0.02%
Teledyne Technologies, Inc. 400,000 1.60% 1/4/2026 361,204 0.02%
American Electric Power Co., Inc. 400,000 1.00% 1/11/2025 361,128 0.02%
Analog Devices, Inc. 375,000 2.95% 1/4/2025 360,435 0.02%
Sherwin-Williams Co. 375,000 3.45% 1/8/2025 360,112 0.02% Met Tower
Global Funding 375,000 3.70% 13/6/2025 359,524 0.02% Sherwin-Williams
Co. 367,000 4.25% 8/8/2025 359,319 0.02% Principal Financial Group, Inc.
375,000 3.40% 15/5/2025 358,948 0.02% Georgia Power Co. 375,000 2.20%
15/9/2024 358,479 0.02% New York Life Global Funding 381,000 1.45%
14/1/2025 358,138 0.02% Cardinal Health, Inc. 370,000 3.50% 15/11/2024
357,994 0.02% Protective Life Global Funding 375,000 3.22% 28/3/2025
357,964 0.02% Franklin Resources, Inc. 375,000 2.85% 30/3/2025 356,865
0.02% Laboratory Corp. of America Holdings 400,000 1.55% 1/6/2026
356,846 0.02% Laboratory Corp. of America Holdings 375,000 2.30%
1/12/2024 356,466 0.02% Jackson National Life Global Funding 375,000
3.88% 11/6/2025 355,865 0.02% Principal Life Global Funding II 375,000
2.25% 21/11/2024 355,855 0.02% PACCAR Financial Corp. 375,000 1.80%
6/2/2025 354,610 0.02% TCI Communications, Inc.
- source_sentence: >-
Discuss the impact of economic conditions on the performance of bonds
issued by entities like Henan Water Conservancy Investment Group Co., Ltd.
sentences:
- >-
On November 20, 2023, the court denied the plaintiffs’ motion for a
rehearing or for leave to amend.Rivian Automotive Inc. GS&Co. is among
the underwriters named as defendants in putative securities class
actions filed on March 7, 2022 and February 28, 2023 in the U.S.
District Court for the Central District of California and in the
Superior Court of the State of California, County of Orange,
respectively, relating to Rivian Automotive Inc.’s (Rivian)
approximately $13.7 billion November 2021 initial public offering. In
addition to the underwriters, the defendants include Rivian and certain
of its officers and directors. GS&Co. underwrote 44,733,050 shares of
common stock representing an aggregate offering price of approximately
$3.5 billion . On March 2, 2023, the plaintiffs in the federal court
action filed an amended consolidated complaint, and on July 3, 2023, the
court denied the defendants’ motion to dismiss the amended consolidated
complaint. On June 30, 2023, the court in the state court action granted
the defendants’ motion to dismiss the complaint, and on September 1,
2023, the plaintiffs appealed. On December 1, 2023, the plaintiffs moved
for class certification. Natera Inc. GS&Co. is among the underwriters
named as defendants in putative securities class actions in New York
Supreme Court, County of New York and the U.S. District Court for the
Western District of Texas filed on March 10, 2022 and October 7, 2022,
respectively, relating to Natera Inc.’s (Natera) approximately $585
million July 2021 public offering of common stock. In addition to the
underwriters, the defendants include Natera and certain of its officers
and directors. GS&Co. underwrote 1,449,000 shares of common stock
representing an aggregate offering price of approximately $164 million .
On July 15, 2022, the parties in the state court action filed a
stipulation and proposed order approving the discontinuance of the
action without prejudice. On September 11, 2023, the federal court
granted in part and denied in part the defendants’ motion to dismiss.
Robinhood Markets, Inc. GS&Co. is among the underwriters named as
defendants in a putative securities class action filed on December 17,
2021 in the U.S. District Court for the Northern District of California
relating to Robinhood Markets, Inc.’s (Robinhood) approximately $2.2
billion July 2021 initial public offering. In addition to the
underwriters, the defendants include Robinhood and certain of its
officers and directors. GS&Co. underwrote 18,039,706 shares of common
stock representing an aggregate offering price of approximately $686
million . On February 10, 2023, the court granted the defendants’ motion
to dismiss the complaint with leave to amend, and on March 13, 2023, the
plaintiffs filed a second amended complaint. On January 24, 2024, the
court granted the defendants’ motion to dismiss the second amended
complaint without leave to amend.THE GOLDMAN SACHS GROUP, INC. AND
SUBSIDIARIES Notes to Consolidated Financial Statements 222 Goldman
Sachs 2023 Form 10-K
- >-
200,000 3.50% 5/7/2027 187,785 0.03% Huarong Finance 2019 Co., Ltd.
200,000 3.25% 13/11/2024 187,354 0.03% Henan Water Conservancy
Investment Group Co., Ltd. 200,000 2.80% 18/9/2025 185,811 0.03% CCBL
Cayman 1 Corp., Ltd. 200,000 1.99% 21/7/2025 185,505 0.03% Hengjian
International Investment Ltd. 200,000 1.88% 23/6/2025 185,112 0.03%
Sinopec Group Overseas Development 2016 Ltd. 200,000 2.75% 29/9/2026
184,261 0.03% ICBCIL Finance Co., Ltd. 200,000 2.70% 27/1/2027 184,153
0.03% CDBL Funding 2 200,000 2.00% 4/3/2026 182,327 0.03% Chongqing
International Logistics Hub Park Construction Co., Ltd. 200,000 4.30%
26/9/2024 182,270 0.03% Sunny Express Enterprises Corp. 200,000 3.13%
23/4/2030 180,767 0.03% China Construction Bank Corp. 200,000 1.46%
22/4/2026 180,688 0.03% Chalco Hong Kong Investment Co., Ltd. 200,000
2.10% 28/7/2026 180,686 0.03% Bank of China Ltd. 200,000 1.40% 28/4/2026
180,090 0.03% Shenwan Hongyuan International Finance Ltd. 200,000 1.80%
14/7/2026 179,360 0.03% SFG International Holdings Co., Ltd. 200,000
2.40% 3/6/2026 179,078 0.03% Sinopec Capital 2013 Ltd. 200,000 4.25%
24/4/2043 178,983 0.03% ICBCIL Finance Co., Ltd. 200,000 1.75% 2/8/2026
178,698 0.03% CSSC Capital 2015 Ltd. 200,000 2.10% 27/7/2026 178,662
0.03% Sinochem Offshore Capital Co., Ltd. 200,000 2.25% 24/11/2026
178,126 0.03% AVIC International Finance & Investment Ltd. 200,000 2.50%
17/11/2026 177,158 0.03% Huarong Finance II Co., Ltd. 200,000 4.88%
22/11/2026 176,528 0.03% Bright Galaxy International Ltd. 200,000 3.25%
15/7/2026 175,325 0.03% Central Plaza Development Ltd. 200,000 5.75%
Perpetual 175,287 0.03% China Great Wall International Holdings III Ltd.
200,000 3.88% 31/8/2027 175,105 0.03% China Huaneng Group Hong Kong
Treasury Management Holding Ltd. 200,000 2.70% 20/1/2031 172,985 0.03%
Guoren Property & Casualty Insurance Co., Ltd. 200,000 3.35% 1/6/2026
171,853 0.03% Three Gorges Finance I Cayman Islands Ltd. 200,000 2.15%
22/9/2030 170,989 0.03% Blossom Joy Ltd.
- >-
The list includes the investments constituting the greatest proportion
of investments of the financial product during the reference period
which is: From 11 October 2022 to 30 June 2023What were the top
investments of this financial product? The top investments of this Fund
are set out below. These figures are percentages of net assets and are
weighted averages of the market value as at the end of December 2022,
March 2023 and June 2023. Largest investments Sector % Assets Country
SAMSUNG ELECTRONICS CO LTD Telecommunications 3.88% Korea TOYOTA MOTOR
CORP Consumer Discretionary 2.92% Japan AIA GROUP LTD Financials 2.08%
Hong Kong COMMONWEALTH BANK OF AUSTRAL Financials 1.90% Australia SONY
GROUP CORP Consumer Discretionary 1.74% Japan CSL LTD Health Care 1.53%
Australia KEYENCE CORP Industrials 1.47% Japan MITSUBISHI UFJ FINANCIAL
GRO Financials 1.32% Japan DAIICHI SANKYO CO LTD Health Care 1.04% Japan
NATIONAL AUSTRALIA BANK LTD Financials 0.99% Australia SHIN-ETSU
CHEMICAL CO LTD Basic Materials 0.96% Japan HONG KONG EXCHANGES & CLEAR
Financials 0.88% Hong Kong SUMITOMO MITSUI FINANCIAL GR Financials 0.87%
Japan TOKYO ELECTRON LTD Technology 0.87% Japan WESTPAC BANKING CORP
Financials 0.86% Australia Asset allocation describes the share of
investments in specific assets.What was the proportion of
sustainability-related investments? Please see the information below in
this respect. What was the asset allocation? The Fund invested 96.97% of
its net assets in line with the ESG requirements of the Index, which is
consistent with the environmental and/or social characteristics promoted
by the Fund. The Fund did not commit to make any sustainable
investments. The Fund did not use indirect exposures (including
derivatives) to attain the environmental or social characteristics
promoted by the Fund. The remaining 3.03% of the Fund’s net assets are
in other investments (“#2 Other”), which are not aligned with
environmental and/or social characteristics promoted by the Fund.
Investments #1 Aligned with E/S characteristics 96.97% #2 Other 3.03%
#1A Sustainable N/A #1B Other E/S characteristics N/A #1 Aligned with
E/S characteristics includes the investments of the financial product
used to attain the environmental or social characteristics promoted by
the financial product. 1002
- source_sentence: >-
Identify the company with the highest number of shares listed in the
provided context and state its fair value.
sentences:
- >-
we do not have latitude in carrier selection and establishing rates with
the Carrier. Revenue is recognized on a net basis for these
transactions. Advertising Revenue We derive the majority of our
advertising revenue from sponsored listing fees paid by Merchants and
brands in exchange for advertising on our platform. Advertising revenue
is recognized when an end-user engages with the sponsored listing based
on the number of clicks. Revenue is presented on a gross basis in the
amount billed to Merchants and brands as we control the advertisement
before it is transferred to the end-user. Incentives to Customers
Incentives provided to customers are recorded as a reduction of revenue
if we do not receive a distinct good or service or cannot reasonably
estimate the fair value of the good or service received. Incentives to
customers that are not provided in exchange for a distinct good or
service are evaluated as variable consideration, in the most likely
amount to be earned by the customer at the time or as they are earned by
customers, depending on the type of incentive. Since incentives are
earned over a short period of time, there is limited uncertainty when
estimating variable consideration. Incentives earned by customers for
referring new customers are paid in exchange for a distinct service and
are accounted for as customer acquisition costs. We expense such
referral payments as incurred in sales and marketing expenses in the
consolidated statements of operations. We expense costs to acquire new
customer contracts as incurred because the amortization period would be
one year or less. The amount recorded as an expense is the lesser of the
amount of the incentive paid or the established fair value of the
service received. Fair value of the service is established using amounts
paid to vendors for similar services. The amounts paid to customers
presented as sales and marketing expenses for the years ended December
31, 2021, 2022 and 2023 were immaterial. In some transactions,
incentives and payments made to customers may exceed the revenue earned
in the transaction. In these transactions, the resulting shortfall
amount is recorded as a reduction of revenue. End-User Discounts and
Promotions We offer discounts and promotions to end-users to encourage
use of our platform. These are offered in various forms of discounts and
promotions and include: Targeted end-user discounts and promotions:
These discounts and promotions are offered to a limited number of
end-users in a market to acquire, re-engage, or generally increase
end-users use of the Platform, and are akin to a coupon. An example is
an offer providing a discount on a limited number of rides or deliveries
during a limited time period. We record the cost of these discounts and
promotions to end-users who are not our customers as sales and marketing
expenses at the time they are redeemed by the end-user. End-user
referrals: These referrals are earned when an existing end-user (the
referring end-user) refers a new end-user (the referred end-user) to the
platform and the new end-user who is not our customer completes their
first transaction on the platform. These referrals are typically paid in
the form of a credit given to the referring end-user. These referrals
are offered to attract new end-users to the Platform. We record the
liability for these referrals and corresponding expenses as sales and
marketing expenses at the time the referral is earned by the referring
end-user. Market-wide promotions: These promotions are pricing actions
in the form of discounts that reduce the end-user fare charged by
Drivers and Merchants to end-users who are not our customers for all or
substantially all Mobility or Delivery offerings in a specific market.
This also includes any discounts offered under our subscription
offerings and certain discounts within the Uber Rewards programs, which
enable end-users to receive a fixed fare or a discount on all eligible
rides. Accordingly, we record the cost of these promotions as a
reduction of revenue at the time the transaction is completed. Refunds
and Credits Refunds and credits to end-users due to end-user
dissatisfaction with the Platform are recorded as sales and marketing
expenses or as a reduction of revenue depending on whether the end-user
is considered a customer based on the market. Refunds to end-users that
we recover from Drivers and Merchants are recorded as a reduction of
revenue. Other We have elected to exclude from revenue, taxes assessed
by a governmental authority that are both imposed on and are concurrent
with specific revenue producing transactions, and collected from
Drivers, Merchants and end-users and remitted to governmental
authorities. Accordingly, such amounts are not included as a component
of revenue or cost of revenue. Practical Expedients We have utilized the
practical expedient available under ASC 606-10-50-14 and do not disclose
the value of unsatisfied performance obligations for contracts with an
original expected length of one year or less. We have no significant
financing components in our contracts with customers. 89
- >-
78 Vanguard ESG Emerging Markets All Cap UCITS ETF..Number of SharesFair
Value US Dollars ($)% of Total Net Assets Yangzijiang Financial Holding
Ltd. 9,300 2,336 0.01% Shanghai Jinjiang International Hotels Co., Ltd.
Class A 400 2,328 0.01% Shanghai Junshi Biosciences Co., Ltd. Class H
800 2,328 0.01% China Risun Group Ltd. 5,000 2,322 0.01% Shoucheng
Holdings Ltd. 10,000 2,322 0.01% Zoomlion Heavy Industry Science &
Technology Co., Ltd. Class A 2,500 2,320 0.01% China Meidong Auto
Holdings Ltd. 2,000 2,310 0.01% Zhejiang Century Huatong Group Co., Ltd.
Class A 2,200 2,295 0.01% Huayu Automotive Systems Co., Ltd. Class A 900
2,284 0.01% Montage Technology Co., Ltd. Class A 289 2,281 0.01% PAX
Global Technology Ltd. 3,000 2,274 0.01% China Railway Signal &
Communication Corp., Ltd. Class H 6,000 2,266 0.01% People's Insurance
Co. Group of China Ltd. Class A 2,800 2,248 0.01% Eoptolink Technology,
Inc. Ltd. Class A 240 2,242 0.01% China Construction Bank Corp. Class A
2,600 2,237 0.01% AsiaInfo Technologies Ltd. 1,600 2,225 0.01% China
Eastern Airlines Corp., Ltd. Class A 3,400 2,225 0.01% Towngas Smart
Energy Co., Ltd. 5,000 2,220 0.01% Zhongyu Energy Holdings Ltd. 3,000
2,217 0.01% Kunlun Tech Co., Ltd. Class A 400 2,215 0.01% GoerTek, Inc.
Class A 900 2,196 0.01% Remegen Co., Ltd. Class H 500 2,185 0.01% BAIC
Motor Corp., Ltd. Class H 9,000 2,182 0.01% Zhejiang Dahua Technology
Co., Ltd. Class A 800 2,172 0.01% Xinyi Energy Holdings Ltd. 6,600 2,156
0.01% Huizhou Desay Sv Automotive Co., Ltd. Class A 100 2,142 0.01% JCET
Group Co., Ltd. Class A 500 2,142 0.01% China Jushi Co., Ltd. Class A
1,100 2,141 0.01% Ecovacs Robotics Co., Ltd. Class A 200 2,138 0.01%
Haichang Ocean Park Holdings Ltd. 14,000 2,126 0.01% Bloomage
Biotechnology Corp., Ltd. Class A 173 2,120 0.01% Lens Technology Co.,
Ltd. Class A 1,300 2,102 0.01% Hangzhou Steam Turbine Power Group Co.,
Ltd. Class B 1,800 2,097 0.01% Angang Steel Co., Ltd. Class H 8,000
2,093 0.01% Great Wall Motor Co., Ltd. Class A 600 2,076 0.01% Sun Art
Retail Group Ltd. 8,000 2,062 0.01% Noah Holdings Ltd. ADR 144 2,028
0.01% Anjoy Foods Group Co., Ltd. Class A 100 2,018 0.01% Chaozhou
Three-Circle Group Co., Ltd.
- >-
We are regularly under audit by tax authorities in different
jurisdictions. Although we believe that our provision for income taxes
and our tax estimates are reasonable, tax authorities may disagree with
certain positions we have taken. In addition, econom ic and political
pressures to increase tax revenue in various jurisdictions may make
resolving tax disputes favorably more difficult. We are currently under
Internal Revenue Service audit for prior tax years, with the primary
unresolved issues relating to transfer pricing. The final resolution of
those audits, and other audits or litigation, may differ from the
amounts recorded in our consolidated financial statements and may
materially affect our consolidated financial statements in the period or
periods in which that determina tion is made. We earn a significant
amount of our operating income outside the U.S. A change in the mix of
earnings and losses in countries with differing statutory tax rates,
changes in our business or structure, or the expiration of or disputes
about certain tax agreements in a particular country may result in
higher effective tax rates for the company. In addition, changes in U.S.
federal and state or international tax laws applicable to corporate
multinationals, other fundamental law changes currently being considere
d by many countries, including in the U.S., and changes in taxing
jurisdictions’ administrative interpretations, decisions, policies, and
positions may materially adversely impact our consolidated financial
statements.
- source_sentence: >-
What are the advantages and disadvantages of investing in corporate bonds
compared to government bonds?
sentences:
- >-
€100,000 2.88% 15/1/2038 92,965 0.02% Bank of New York Mellon Corp.
$95,000 4.97% 26/4/2034 92,748 0.02% WPC Eurobond BV €100,000 1.35%
15/4/2028 92,674 0.02% Amgen, Inc.1$100,000 2.60% 19/8/2026 92,601 0.02%
AT&T, Inc. €100,000 2.05% 19/5/2032 92,593 0.02% Aon Corp. $100,000
3.75% 2/5/2029 92,563 0.02% Chubb INA Holdings, Inc. $102,000 4.35%
3/11/2045 92,352 0.02% Bank of America Corp. $96,000 4.38% 27/4/2028
92,301 0.02% Verizon Communications, Inc. $117,000 1.50% 18/9/2030
92,243 0.02% Medtronic Global Holdings SCA €100,000 0.38% 15/10/2028
92,231 0.02% Intel Corp. $100,000 4.90% 5/8/2052 92,209 0.02% KeyBank NA
$100,000 4.15% 8/8/2025 92,200 0.02% Aetna, Inc. $95,000 3.50%
15/11/2024 92,178 0.02% AT&T, Inc. $110,000 4.35% 15/6/2045 92,161 0.02%
PepsiCo, Inc. €100,000 1.13% 18/3/2031 92,095 0.02% Ally Financial, Inc.
$115,000 2.20% 2/11/2028 92,042 0.02% JPMorgan Chase & Co. £100,000
1.90% 28/4/2033 92,039 0.02% Westinghouse Air Brake Technologies Corp.
$95,000 4.95% 15/9/2028 92,021 0.02% Viatris , Inc. $139,000 4.00%
22/6/2050 91,948 0.02% Amazon.com, Inc. $90,000 4.80% 5/12/2034 91,936
0.02% General Motors Financial Co., Inc. $95,000 3.50% 7/11/2024 91,890
0.02% US Bancorp $120,000 1.38% 22/7/2030 91,848 0.02% Goldman Sachs
Group, Inc. $105,000 4.41% 23/4/2039 91,826 0.02% Blackstone Holdings
Finance Co. LLC €100,000 1.50% 10/4/2029 91,820 0.02%
- >-
171 Vanguard ESG North America All Cap UCITS ETF.Number of SharesFair
Value US Dollars ($)% of Total Net Assets Topgolf Callaway Brands Corp.
339 6,729 0.01% LGI Homes, Inc. 49 6,610 0.01% Sirius XM Holdings, Inc.
1,417 6,419 0.01% American Airlines Group, Inc. 356 6,387 0.01% Lyft,
Inc. Class A 661 6,339 0.01% Columbia Sportswear Co. 82 6,334 0.01%
Helen of Troy Ltd. 58 6,265 0.01% Signet Jewelers Ltd. 95 6,200 0.01%
MDC Holdings, Inc. 132 6,174 0.01% Kohl's Corp. 264 6,085 0.01%
Frontdoor, Inc. 187 5,965 0.01% Carter's, Inc. 80 5,808 0.01% Boot Barn
Holdings, Inc. 68 5,759 0.01% Rush Enterprises, Inc. Class A 94 5,710
0.01% Aritzia, Inc. 204 5,670 0.01% Papa John's International, Inc. 76
5,611 0.01% Cavco Industries, Inc. 19 5,605 0.01% Inter Parfums, Inc. 41
5,544 0.01% AMC Entertainment Holdings, Inc. Class A 1,239 5,452 0.01%
Steven Madden Ltd. 164 5,361 0.01% Nordstrom, Inc. 257 5,261 0.01%
Linamar Corp. 99 5,209 0.01% QuantumScape Corp. Class A 640 5,114 0.01%
Foot Locker, Inc. 188 5,097 0.01% Peloton Interactive, Inc. Class A 654
5,029 0.01% Century Communities, Inc. 64 4,904 0.01% SeaWorld
Entertainment, Inc. 87 4,873 0.01% Kontoor Brands, Inc. 115 4,842 0.01%
Dorman Products, Inc. 61 4,809 0.01% Urban Outfitters, Inc. 145 4,804
0.01% Under Armour, Inc. Class A 651 4,700 0.01% Jack in the Box, Inc.
48 4,681 0.01% Cracker Barrel Old Country Store, Inc. 50 4,659 0.01%
Dana, Inc. 272 4,624 0.01% Graham Holdings Co. Class B 8 4,572 0.01%
Farfetch Ltd. Class A 751 4,536 0.01% American Eagle Outfitters, Inc.
379 4,472 0.01% Sonos, Inc. 270 4,409 0.01% Cinemark Holdings, Inc. 264
4,356 0.01% Winnebago Industries, Inc. 65 4,335 0.01% TripAdvisor, Inc.
258 4,254 0.01% Gap, Inc. 476 4,251 0.01% Liberty Media Corp.-Liberty
Braves Class C 105 4,160 0.01% OPENLANE, Inc. 268 4,079 0.01%
PriceSmart, Inc. 55 4,073 0.01% Leslie's, Inc. 432 4,056 0.01% National
Vision Holdings, Inc. 164 3,984 0.01% Six Flags Entertainment Corp. 153
3,975 0.01% Luminar Technologies, Inc.
- >-
924 Vanguard USD Treasury Bond UCITS ETF Principal US Dollars ($)
CouponMaturity DateFair Value US Dollars ($)% of Total Net Assets United
States Treasury Note 8,475,000 1.88% 28/2/2027 7,769,854 0.47% United
States Treasury Bond 9,088,000 3.00% 15/8/2052 7,731,900 0.46% United
States Treasury Note 8,907,000 1.38% 31/12/2028 7,726,823 0.46% United
States Treasury Note 8,184,000 1.13% 15/1/2025 7,696,477 0.46% United
States Treasury Bond 10,590,000 1.88% 15/2/2041 7,692,642 0.46% United
States Treasury Note 8,466,000 0.25% 30/9/2025 7,668,344 0.46% United
States Treasury Note 8,266,700 1.63% 15/2/2026 7,659,614 0.46% United
States Treasury Note 8,957,000 0.63% 31/12/2027 7,654,036 0.46% United
States Treasury Note 8,087,000 0.38% 15/8/2024 7,651,060 0.46% United
States Treasury Note 8,000,500 2.13% 15/5/2025 7,596,412 0.46% United
States Treasury Note 8,035,000 2.50% 31/3/2027 7,530,302 0.45% United
States Treasury Note 8,138,700 1.63% 15/5/2026 7,511,766 0.45% United
States Treasury Note 8,464,000 1.75% 31/1/2029 7,483,366 0.45% United
States Treasury Note 8,296,000 0.88% 30/6/2026 7,474,826 0.45% United
States Treasury Note 8,078,000 2.00% 15/11/2026 7,472,781 0.45% United
States Treasury Note 7,874,000 1.50% 15/2/2025 7,432,010 0.45% United
States Treasury Note 7,794,000 1.75% 15/3/2025 7,372,332 0.44% United
States Treasury Bond 10,008,000 2.00% 15/11/2041 7,327,732 0.44% United
States Treasury Note 8,106,000 0.38% 30/11/2025 7,316,932 0.44% United
States Treasury Note 7,738,000 2.75% 30/4/2027 7,309,992 0.44% United
States Treasury Bond 11,011,000 1.88% 15/11/2051 7,270,701 0.44% United
States Treasury Bond 10,047,000 2.25% 15/2/2052 7,263,667 0.44% United
States Treasury Note 7,416,000 3.25% 30/6/2027 7,132,686 0.43% United
States Treasury Note 7,559,000 2.63% 31/5/2027 7,103,098 0.43% United
States Treasury Note 7,729,500 2.38% 15/5/2029 7,046,526 0.42% United
States Treasury Note 7,855,000 1.88% 28/2/2029 6,986,041 0.42% United
States Treasury Note 7,023,000 4.13% 30/9/2027 6,984,044 0.42% United
States Treasury Note 7,000,000 4.00% 30/6/2028 6,961,
model-index:
- name: SentenceTransformer based on BAAI/bge-large-en-v1.5
results:
- task:
type: information-retrieval
name: Information Retrieval
dataset:
name: Unknown
type: unknown
metrics:
- type: cosine_accuracy@1
value: 0.4509054895302773
name: Cosine Accuracy@1
- type: cosine_accuracy@3
value: 0.694538766270515
name: Cosine Accuracy@3
- type: cosine_accuracy@5
value: 0.784804753820034
name: Cosine Accuracy@5
- type: cosine_accuracy@10
value: 0.8679966044142614
name: Cosine Accuracy@10
- type: cosine_precision@1
value: 0.4509054895302773
name: Cosine Precision@1
- type: cosine_precision@3
value: 0.23151292209017169
name: Cosine Precision@3
- type: cosine_precision@5
value: 0.1569609507640068
name: Cosine Precision@5
- type: cosine_precision@10
value: 0.08679966044142615
name: Cosine Precision@10
- type: cosine_recall@1
value: 0.4509054895302773
name: Cosine Recall@1
- type: cosine_recall@3
value: 0.694538766270515
name: Cosine Recall@3
- type: cosine_recall@5
value: 0.784804753820034
name: Cosine Recall@5
- type: cosine_recall@10
value: 0.8679966044142614
name: Cosine Recall@10
- type: cosine_ndcg@10
value: 0.6578616098378955
name: Cosine Ndcg@10
- type: cosine_mrr@10
value: 0.5905876923491564
name: Cosine Mrr@10
- type: cosine_map@100
value: 0.5964470032488818
name: Cosine Map@100
- type: dot_accuracy@1
value: 0.4509054895302773
name: Dot Accuracy@1
- type: dot_accuracy@3
value: 0.694538766270515
name: Dot Accuracy@3
- type: dot_accuracy@5
value: 0.784804753820034
name: Dot Accuracy@5
- type: dot_accuracy@10
value: 0.8679966044142614
name: Dot Accuracy@10
- type: dot_precision@1
value: 0.4509054895302773
name: Dot Precision@1
- type: dot_precision@3
value: 0.23151292209017169
name: Dot Precision@3
- type: dot_precision@5
value: 0.1569609507640068
name: Dot Precision@5
- type: dot_precision@10
value: 0.08679966044142615
name: Dot Precision@10
- type: dot_recall@1
value: 0.4509054895302773
name: Dot Recall@1
- type: dot_recall@3
value: 0.694538766270515
name: Dot Recall@3
- type: dot_recall@5
value: 0.784804753820034
name: Dot Recall@5
- type: dot_recall@10
value: 0.8679966044142614
name: Dot Recall@10
- type: dot_ndcg@10
value: 0.6578616098378955
name: Dot Ndcg@10
- type: dot_mrr@10
value: 0.5905876923491564
name: Dot Mrr@10
- type: dot_map@100
value: 0.5964470032488818
name: Dot Map@100
SentenceTransformer based on BAAI/bge-large-en-v1.5
This is a sentence-transformers model finetuned from BAAI/bge-large-en-v1.5. 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: BAAI/bge-large-en-v1.5
- Maximum Sequence Length: 512 tokens
- Output Dimensionality: 1024 tokens
- Similarity Function: Cosine Similarity
Model Sources
- Documentation: Sentence Transformers Documentation
- Repository: Sentence Transformers on GitHub
- Hugging Face: Sentence Transformers on Hugging Face
Full Model Architecture
SentenceTransformer(
(0): Transformer({'max_seq_length': 512, 'do_lower_case': True}) with Transformer model: BertModel
(1): Pooling({'word_embedding_dimension': 1024, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
(2): Normalize()
)
Usage
Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
pip install -U sentence-transformers
Then you can load this model and run inference.
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("sujet-ai/Marsilia-Embedding-EN-Large")
# Run inference
sentences = [
'What are the advantages and disadvantages of investing in corporate bonds compared to government bonds?',
'€100,000 2.88% 15/1/2038 92,965 0.02% Bank of New York Mellon Corp. $95,000 4.97% 26/4/2034 92,748 0.02% WPC Eurobond BV €100,000 1.35% 15/4/2028 92,674 0.02% Amgen, Inc.1$100,000 2.60% 19/8/2026 92,601 0.02% AT&T, Inc. €100,000 2.05% 19/5/2032 92,593 0.02% Aon Corp. $100,000 3.75% 2/5/2029 92,563 0.02% Chubb INA Holdings, Inc. $102,000 4.35% 3/11/2045 92,352 0.02% Bank of America Corp. $96,000 4.38% 27/4/2028 92,301 0.02% Verizon Communications, Inc. $117,000 1.50% 18/9/2030 92,243 0.02% Medtronic Global Holdings SCA €100,000 0.38% 15/10/2028 92,231 0.02% Intel Corp. $100,000 4.90% 5/8/2052 92,209 0.02% KeyBank NA $100,000 4.15% 8/8/2025 92,200 0.02% Aetna, Inc. $95,000 3.50% 15/11/2024 92,178 0.02% AT&T, Inc. $110,000 4.35% 15/6/2045 92,161 0.02% PepsiCo, Inc. €100,000 1.13% 18/3/2031 92,095 0.02% Ally Financial, Inc. $115,000 2.20% 2/11/2028 92,042 0.02% JPMorgan Chase & Co. £100,000 1.90% 28/4/2033 92,039 0.02% Westinghouse Air Brake Technologies Corp. $95,000 4.95% 15/9/2028 92,021 0.02% Viatris , Inc. $139,000 4.00% 22/6/2050 91,948 0.02% Amazon.com, Inc. $90,000 4.80% 5/12/2034 91,936 0.02% General Motors Financial Co., Inc. $95,000 3.50% 7/11/2024 91,890 0.02% US Bancorp $120,000 1.38% 22/7/2030 91,848 0.02% Goldman Sachs Group, Inc. $105,000 4.41% 23/4/2039 91,826 0.02% Blackstone Holdings Finance Co. LLC €100,000 1.50% 10/4/2029 91,820 0.02%',
'924 Vanguard USD Treasury Bond UCITS ETF Principal US Dollars ($) CouponMaturity DateFair Value US Dollars ($)% of Total Net Assets United States Treasury Note 8,475,000 1.88% 28/2/2027 7,769,854 0.47% United States Treasury Bond 9,088,000 3.00% 15/8/2052 7,731,900 0.46% United States Treasury Note 8,907,000 1.38% 31/12/2028 7,726,823 0.46% United States Treasury Note 8,184,000 1.13% 15/1/2025 7,696,477 0.46% United States Treasury Bond 10,590,000 1.88% 15/2/2041 7,692,642 0.46% United States Treasury Note 8,466,000 0.25% 30/9/2025 7,668,344 0.46% United States Treasury Note 8,266,700 1.63% 15/2/2026 7,659,614 0.46% United States Treasury Note 8,957,000 0.63% 31/12/2027 7,654,036 0.46% United States Treasury Note 8,087,000 0.38% 15/8/2024 7,651,060 0.46% United States Treasury Note 8,000,500 2.13% 15/5/2025 7,596,412 0.46% United States Treasury Note 8,035,000 2.50% 31/3/2027 7,530,302 0.45% United States Treasury Note 8,138,700 1.63% 15/5/2026 7,511,766 0.45% United States Treasury Note 8,464,000 1.75% 31/1/2029 7,483,366 0.45% United States Treasury Note 8,296,000 0.88% 30/6/2026 7,474,826 0.45% United States Treasury Note 8,078,000 2.00% 15/11/2026 7,472,781 0.45% United States Treasury Note 7,874,000 1.50% 15/2/2025 7,432,010 0.45% United States Treasury Note 7,794,000 1.75% 15/3/2025 7,372,332 0.44% United States Treasury Bond 10,008,000 2.00% 15/11/2041 7,327,732 0.44% United States Treasury Note 8,106,000 0.38% 30/11/2025 7,316,932 0.44% United States Treasury Note 7,738,000 2.75% 30/4/2027 7,309,992 0.44% United States Treasury Bond 11,011,000 1.88% 15/11/2051 7,270,701 0.44% United States Treasury Bond 10,047,000 2.25% 15/2/2052 7,263,667 0.44% United States Treasury Note 7,416,000 3.25% 30/6/2027 7,132,686 0.43% United States Treasury Note 7,559,000 2.63% 31/5/2027 7,103,098 0.43% United States Treasury Note 7,729,500 2.38% 15/5/2029 7,046,526 0.42% United States Treasury Note 7,855,000 1.88% 28/2/2029 6,986,041 0.42% United States Treasury Note 7,023,000 4.13% 30/9/2027 6,984,044 0.42% United States Treasury Note 7,000,000 4.00% 30/6/2028 6,961,',
]
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]
Evaluation
Metrics
Information Retrieval
- Evaluated with
InformationRetrievalEvaluator
| Metric | Value |
|---|---|
| cosine_accuracy@1 | 0.4509 |
| cosine_accuracy@3 | 0.6945 |
| cosine_accuracy@5 | 0.7848 |
| cosine_accuracy@10 | 0.868 |
| cosine_precision@1 | 0.4509 |
| cosine_precision@3 | 0.2315 |
| cosine_precision@5 | 0.157 |
| cosine_precision@10 | 0.0868 |
| cosine_recall@1 | 0.4509 |
| cosine_recall@3 | 0.6945 |
| cosine_recall@5 | 0.7848 |
| cosine_recall@10 | 0.868 |
| cosine_ndcg@10 | 0.6579 |
| cosine_mrr@10 | 0.5906 |
| cosine_map@100 | 0.5964 |
| dot_accuracy@1 | 0.4509 |
| dot_accuracy@3 | 0.6945 |
| dot_accuracy@5 | 0.7848 |
| dot_accuracy@10 | 0.868 |
| dot_precision@1 | 0.4509 |
| dot_precision@3 | 0.2315 |
| dot_precision@5 | 0.157 |
| dot_precision@10 | 0.0868 |
| dot_recall@1 | 0.4509 |
| dot_recall@3 | 0.6945 |
| dot_recall@5 | 0.7848 |
| dot_recall@10 | 0.868 |
| dot_ndcg@10 | 0.6579 |
| dot_mrr@10 | 0.5906 |
| dot_map@100 | 0.5964 |
Training Details
Training Dataset
Unnamed Dataset
- Size: 98,560 training samples
- Columns:
sentence_0andsentence_1 - Approximate statistics based on the first 1000 samples:
sentence_0 sentence_1 type string string details - min: 13 tokens
- mean: 24.64 tokens
- max: 50 tokens
- min: 22 tokens
- mean: 467.11 tokens
- max: 512 tokens
- Samples:
sentence_0 sentence_1 Define "Bankruptcy Law" as mentioned in the context. What are its implications for the company?(5) a court of competent jurisdiction enters an order or decree under any Bankruptcy Law that: •is for relief against us in an involuntary case, or adjudicates us insolvent or bankrupt; •appoints a custodian of us or for all or substantially all of our property; or •orders the winding-up or liquidation of us (or any similar relief is granted under any foreign laws); and the order or decree remains unstayed and in effect for 90 days (or, in the case of the 2018 Indenture, 90 consecutive days); or (6) any other event of default provided with respect to debt securities of such series occurs. “Bankruptcy Law” means Title 11, United States Code or any similar federal or state or foreign law for the relief of debtors. “Custodian” means any custodian, receiver, trustee, assignee, liquidator or other similar official under any Bankruptcy Law. If an event of default with respect to debt securities of any series (other than an event of default relating to certain events of bankruptcy, insolvency, or reorganization of us) occurs and is continuing, the trustee by notice to us, or the holders of, in the case of the 2013 Indenture, at least 25% in aggregate principal amount of the outstanding debt securities of such series , and in the case of the 2018 Indenture, at least 33% in aggregate principal amount of the outstanding debt securities of such series, by notice to us and the trustee, may, and the trustee at the request of these holders will, declare the principal of and premium, if any, and accrued and unpaid interest on all the debt securities of such series to be due and payable. Upon such a declaration, such principal, premium and accrued and unpaid interest will be due and payable immediately. If an event of default relating to certain events of bankruptcy, insolvency, or reorganization of us occurs and is continuing, the principal of and premium, if any, and accrued and unpaid interest on the debt securities of such series will become and be immediately due and payable without any declaration or other act on the part of the trustee or any holders. The holders of not less than a majority in aggregate principal amount of the outstanding debt securities of any series may rescind a declaration of acceleration and its consequences, if we have deposited certain sums with the trustee and all events of default with respect to the debt securities of such series, other than the non-payment of the principal or interest which have become due solely by such acceleration, have been cured or waived, as provided in the Indentures. An event of default for a particular series of debt securities does not necessarily constitute an event of default for any other series of debt securities issued under the Indentures. We are required to furnish the trustee annually within 120 days after the end of our fiscal year a statement by one of our officers to the effect that, to the best knowledge of such officer, we are not in default in the fulfillment of any of our obligations under the applicable Indenture or, if there has been a default in the fulfillment of any such obligation, specifying each such default and the nature and status thereof. No holder of any debt securities of any series will have any right to institute any judicial or other proceeding with respect to the applicable Indenture, or for the appointment of a receiver or trustee, or for any other remedy unless: (1) an event of default has occurred and is continuing and such holder has given the trustee prior written notice of such continuing event of default with respect to the debt securities of such series; (2) in the case of the 2013 Indenture, the holders of not less than 25% of the aggregate principal amount of the outstanding debt securities of such series, and in the case of the 2018 Indenture, the holders of not less than 33% of the aggregate principal amount of the outstanding debt securities of such series have requested the trustee to institute proceedings in respect of such event of default; (3) the trustee has been offered indemnity reasonably satisfactory to it against its costs, expenses and liabilities in complying with such request; (4) the trustee has failed to institute proceedings 60 days after the receipt of such notice, request and offer of indemnity; and 10What is the total amount of derivative liabilities for currencies as of December 2023, and how does it compare to the previous year?The tables below present the gross fair value and the notional amounts of derivative contracts by major product type, the amounts of counterparty and cash collateral netting in the consolidated balance sheets, as well as cash and securities collateral posted and received under enforceable credit support agreements that do not meet the criteria for netting under U.S. GAAP. As of December 2023 As of December 2022 $ in millionsDerivative Assets Derivative Liabilities Derivative Assets Derivative Liabilities Not accounted for as hedges Exchange-traded $ 3,401 $ 1,129 $ 675 $ 1,385 OTC-cleared 67,815 64,490 74,297 72,979 Bilateral OTC 171,109 149,444 195,052 174,687 Total interest rates 242,325 215,063 270,024 249,051 OTC-cleared 1,271 1,533 1,516 1,802 Bilateral OTC 11,554 8,601 10,751 9,478 Total credit 12,825 10,134 12,267 11,280 Exchange-traded 708 15 1,041 22 OTC-cleared 1,033 1,632 520 589 Bilateral OTC 88,158 95,742 102,301 111,276 Total currencies 89,899 97,389 103,862 111,887 Exchange-traded 5,468 5,998 9,225 9,542 OTC-cleared 635 711 698 838 Bilateral OTC 10,739 11,234 30,017 22,745 Total commodities 16,842 17,943 39,940 33,125 Exchange-traded 31,315 39,247 26,302 26,607 OTC-cleared 122 171 685 19 Bilateral OTC 28,601 40,696 23,574 30,157 Total equities 60,038 80,114 50,561 56,783 Subtotal 421,929 420,643 476,654 462,126 Accounted for as hedges Bilateral OTC 298 9 335 11 Total interest rates 298 9 335 11 OTC-cleared – 7 29 29 Bilateral OTC 5 208 53 256 Total currencies 5 215 82 285 Subtotal 303 224 417 296 Total gross fair value $ 422,232 $ 420,867 $ 477,071 $ 462,422 Offset in the consolidated balance sheets Exchange-traded $ (32,722) $ (32,722) $ (31,229) $ (31,229) OTC-cleared (67,272) (67,272) (75,349) (75,349) Bilateral OTC (221,395) (221,395) (254,304) (254,304) Counterparty netting (321,389) (321,389) (360,882) (360,882) OTC-cleared (1,335) (486) (1,388) (406) Bilateral OTC (48,388) (42,238) (55,388) (46,399) Cash collateral netting (49,723) (42,724) (56,776) (46,805) Total amounts offset $ (371,112) $ (364,113) $ (417,658) $ (407,687) Included in the consolidated balance sheets Exchange-traded $ 8,170 $ 13,667 $ 6,014 $ 6,327 OTC-cleared 2,269 786 1,008 501 Bilateral OTC 40,681 42,What is the significance of the percentage of total net assets for each company listed in the context?325 Vanguard FTSE Emerging Markets UCITS ETF..Number of SharesFair Value US Dollars ($)% of Total Net Assets Tongkun Group Co., Ltd. Class A 61,400 111,831 0.01% Bluefocus Intelligent Communications Group Co., Ltd. Class A 84,000 111,657 0.01% Beijing United Information Technology Co., Ltd. Class A 21,953 111,443 0.01% Shanghai Zhenhua Heavy Industries Co., Ltd. Class B 464,425 110,998 0.01% Wuchan Zhongda Group Co., Ltd. Class A 162,600 110,415 0.01% Hubei Energy Group Co., Ltd. Class A 175,917 110,269 0.01% Offshore Oil Engineering Co., Ltd. Class A 137,100 110,248 0.01% Siasun Robot & Automation Co., Ltd. Class A 48,100 110,220 0.01% Zhejiang Huahai Pharmaceutical Co., Ltd. Class A 43,432 109,911 0.01% Amlogic Shanghai Co., Ltd. Class A 9,446 109,486 0.01% Beijing Wantai Biological Pharmacy Enterprise Co., Ltd. Class A 11,923 109,432 0.01% Sailun Group Co., Ltd. Class A 69,800 109,284 0.01% Shenzhen Kedali Industry Co., Ltd. Class A 6,000 109,075 0.01% Shan Xi Hua Yang Group New Energy Co., Ltd. Class A 100,050 108,786 0.00% Changzhou Xingyu Automotive Lighting Systems Co., Ltd. Class A 6,400 108,737 0.00% Xiamen C & D, Inc. Class A 72,500 108,728 0.00% Jointown Pharmaceutical Group Co., Ltd. Class A 75,841 108,213 0.00% Shenzhen Kangtai Biological Products Co., Ltd. Class A 31,000 108,194 0.00% Ningxia Baofeng Energy Group Co., Ltd. Class A 61,803 107,128 0.00% Huaxin Cement Co., Ltd. Class H 123,400 106,920 0.00% Shanghai Junshi Biosciences Co., Ltd. Class A 20,128 106,633 0.00% StarPower Semiconductor Ltd. Class A 3,600 106,494 0.00% People.cn Co., Ltd. Class A 26,525 106,468 0.00% Asymchem Laboratories Tianjin Co., Ltd. Class A 6,500 105,307 0.00% China National Accord Medicines Corp., Ltd. Class A 17,550 105,206 0.00% Bloomage Biotechnology Corp., Ltd. Class A 8,582 105,181 0.00% Jason Furniture Hangzhou Co., Ltd. Class A 19,980 104,778 0.00% Chengxin Lithium Group Co., Ltd. Class A 23,900 104,703 0.00% Shanghai Friendess Electronic Technology Corp., Ltd. Class A 4,037 104,637 0.00% Flat Glass Group Co., Ltd. Class A 19,700 104,284 0.00% Guangdong Electric Power Development Co., Ltd. Class A 103,900 104,260 0.00% Hangzhou Lion Electronics Co., Ltd. Class A 20,628 104,149 0.00% YongXing Special Materials Technology Co., Ltd. Class A 12,090 104,052 0.00% Hongfa Technology Co., Ltd. - Loss:
MultipleNegativesRankingLosswith these parameters:{ "scale": 20.0, "similarity_fct": "cos_sim" }
Training Hyperparameters
Non-Default Hyperparameters
eval_strategy: stepsper_device_train_batch_size: 64per_device_eval_batch_size: 64num_train_epochs: 10batch_sampler: no_duplicatesmulti_dataset_batch_sampler: round_robin
All Hyperparameters
Click to expand
overwrite_output_dir: Falsedo_predict: Falseeval_strategy: stepsprediction_loss_only: Trueper_device_train_batch_size: 64per_device_eval_batch_size: 64per_gpu_train_batch_size: Noneper_gpu_eval_batch_size: Nonegradient_accumulation_steps: 1eval_accumulation_steps: Nonelearning_rate: 5e-05weight_decay: 0.0adam_beta1: 0.9adam_beta2: 0.999adam_epsilon: 1e-08max_grad_norm: 1num_train_epochs: 10max_steps: -1lr_scheduler_type: linearlr_scheduler_kwargs: {}warmup_ratio: 0.0warmup_steps: 0log_level: passivelog_level_replica: warninglog_on_each_node: Truelogging_nan_inf_filter: Truesave_safetensors: Truesave_on_each_node: Falsesave_only_model: Falserestore_callback_states_from_checkpoint: Falseno_cuda: Falseuse_cpu: Falseuse_mps_device: Falseseed: 42data_seed: Nonejit_mode_eval: Falseuse_ipex: Falsebf16: Falsefp16: Falsefp16_opt_level: O1half_precision_backend: autobf16_full_eval: Falsefp16_full_eval: Falsetf32: Nonelocal_rank: 0ddp_backend: Nonetpu_num_cores: Nonetpu_metrics_debug: Falsedebug: []dataloader_drop_last: Falsedataloader_num_workers: 0dataloader_prefetch_factor: Nonepast_index: -1disable_tqdm: Falseremove_unused_columns: Truelabel_names: Noneload_best_model_at_end: Falseignore_data_skip: Falsefsdp: []fsdp_min_num_params: 0fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}fsdp_transformer_layer_cls_to_wrap: Noneaccelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}deepspeed: Nonelabel_smoothing_factor: 0.0optim: adamw_torchoptim_args: Noneadafactor: Falsegroup_by_length: Falselength_column_name: lengthddp_find_unused_parameters: Noneddp_bucket_cap_mb: Noneddp_broadcast_buffers: Falsedataloader_pin_memory: Truedataloader_persistent_workers: Falseskip_memory_metrics: Trueuse_legacy_prediction_loop: Falsepush_to_hub: Falseresume_from_checkpoint: Nonehub_model_id: Nonehub_strategy: every_savehub_private_repo: Falsehub_always_push: Falsegradient_checkpointing: Falsegradient_checkpointing_kwargs: Noneinclude_inputs_for_metrics: Falseeval_do_concat_batches: Truefp16_backend: autopush_to_hub_model_id: Nonepush_to_hub_organization: Nonemp_parameters:auto_find_batch_size: Falsefull_determinism: Falsetorchdynamo: Noneray_scope: lastddp_timeout: 1800torch_compile: Falsetorch_compile_backend: Nonetorch_compile_mode: Nonedispatch_batches: Nonesplit_batches: Noneinclude_tokens_per_second: Falseinclude_num_input_tokens_seen: Falseneftune_noise_alpha: Noneoptim_target_modules: Nonebatch_eval_metrics: Falseeval_on_start: Falsebatch_sampler: no_duplicatesmulti_dataset_batch_sampler: round_robin
Training Logs
| Epoch | Step | Training Loss | cosine_map@100 |
|---|---|---|---|
| 0.0649 | 100 | - | 0.5166 |
| 0.1299 | 200 | - | 0.5361 |
| 0.1948 | 300 | - | 0.5431 |
| 0.2597 | 400 | - | 0.5565 |
| 0.3247 | 500 | 1.4823 | 0.5605 |
| 0.3896 | 600 | - | 0.5703 |
| 0.4545 | 700 | - | 0.5738 |
| 0.5195 | 800 | - | 0.5776 |
| 0.5844 | 900 | - | 0.5763 |
| 0.6494 | 1000 | 0.9938 | 0.5771 |
| 0.7143 | 1100 | - | 0.5783 |
| 0.7792 | 1200 | - | 0.5826 |
| 0.8442 | 1300 | - | 0.5864 |
| 0.9091 | 1400 | - | 0.5902 |
| 0.9740 | 1500 | 0.8712 | 0.5919 |
| 1.0 | 1540 | - | 0.5906 |
| 1.0390 | 1600 | - | 0.5833 |
| 1.1039 | 1700 | - | 0.5876 |
| 1.1688 | 1800 | - | 0.5964 |
Framework Versions
- Python: 3.10.13
- Sentence Transformers: 3.0.1
- Transformers: 4.42.3
- PyTorch: 2.5.0.dev20240704+cu124
- Accelerate: 0.32.1
- Datasets: 2.20.0
- Tokenizers: 0.19.1
Citation
BibTeX
Sentence Transformers
@inproceedings{reimers-2019-sentence-bert,
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
author = "Reimers, Nils and Gurevych, Iryna",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
month = "11",
year = "2019",
publisher = "Association for Computational Linguistics",
url = "https://arxiv.org/abs/1908.10084",
}
MultipleNegativesRankingLoss
@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}
}