Model: Rubyando59/bge-base-financial-matryoshka
Author: Rubyando59
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:99145, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss, en, arxiv:1908.10084, arxiv:2205.13147, arxiv:1705.00652, license:apache-2.0, model-index, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: language: en
library_name: sentence-transformers
license: apache-2.0
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
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:99145, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss
widget: source_sentence: YouTube provides people with entertainment, information, and opportunities to learn something new. Google Assistant 
offers the best way to get things done seamlessly across different devices, providing intelligent help throughout a 
person's day, no matter where they are. Google Cloud helps customers solve today’s business challenges, improve 
productivity, reduce costs, and unlock new growth engines. We are continually innovating and building new products 
and features that will help our users, partners, customers, and communities and have invested more than $150 billion 
in research and development in the last five years in support of these efforts .
Making AI H elpful for Everyone
AI is a transformational technology that can bring meaningful and positive change to people and societies across 
the world, and for our business. At Google, we have been bringing AI into our products and services for more than a 
decade and making them available to our users. Our journey began in 2001, when machine learning was first 
incorporated into Google Search to suggest better spellings to users searching the web. Today, AI in our products is Table of Contents Alphabet Inc.
4.
sentences: In what ways does Alphabet support the financial health of its employees?, Analyze the potential impact of AI-driven tools on Google’s operational costs and overall financial health., What strategies can companies implement to mitigate the financial risks associated with problematic content?, source_sentence: Executive Overview
The following table summarizes our consolidated financial results (in millions, except for per share information 
and percentages):
Year Ended December 31,
2022 2023 $ Change % Change
Consolidated revenues $ 282,836 $ 307,394 $ 24,558  9 %
Change in consolidated constant currency revenues(1) 10 %
Cost of revenues $ 126,203 $ 133,332 $ 7,129  6 %
Operating expenses $ 81,791 $ 89,769 $ 7,978  10 %
Operating income $ 74,842 $ 84,293 $ 9,451  13 %
Operating margin  26 %  27 %  1 %
Other income (expense), net $ (3,514) $ 1,424 $ 4,938 NM
Net income $ 59,972 $ 73,795 $ 13,823  23 %
Diluted EPS $ 4.56 $ 5.80 $ 1.24  27 %
NM = Not Meaningful
(1) See "Use of Non-GAAP Constant Currency Information " below for details relating to our use of constant currency information. 
•Revenues were $307.4 billion , an increase  of 9% year over year, primarily driven by an increase  in Google 
Services revenues of $19.0 billion , or 8%, and an increase  in Google Cloud revenues of $6.8 billion , or 26%. 
•Total constant currency revenues, which exclude the effect of hedging, increased 10% year over year.
•Cost of revenues  was $133.3 billion , an increase  of 6% year over year, primarily driven by increase s in content 
acquisition costs , compensation expenses, and TAC . The increase in compensation expenses included 
charges related to employee severance associated with the reduction in our workforce . Additionally, cost of 
revenues benefited from a reduction in depreciation due to the change in estimated useful lives of our servers 
and network equipment.
•Operating expenses were $89.8 billion , an increase  of 10% year over year , primarily driven by an increase in 
compensation expenses  and charges related to our office space optimization efforts . The increase in 
compensation expenses was largely  the result of  charges related to employee severance associated with the 
reduction in our workforce  and an increase in SBC expense.  Operating  expenses benefited from  the change in 
the estimated useful lives of our servers and certain network equipment.
Other Information:
•In January 2023, we announced a reduction of our workforce , and as a result we recorded employee 
severance and related charges of $2.1 billion  for the year ended December 31, 2023. In addition, we are 
taking actions to optimize our global office space. As a result, exit charges recorded during the year ended 
December 31, 2023, were $1.8 billion . In addition to these exit charges, for the year ended December 31, 
2023, we incurred  $269 million  in accelerated rent and accelerated depreciation . For additional information, 
see Note 8  of the Notes to Consolidated Financial Statements included in Item 8 of this Annual Report on 
Form 10-K.
•In January 2023, we completed an assessment of the useful lives of our servers and network equipment, 
resulting in a change in the estimated useful life of our servers and certain network equipment to six years. 
The effect of this change was a reduction in depreciation expense of $3.9 billion  for the year ended December 
31, 2023, recognized primarily in cost of revenues and R&D expenses. For additional information, see Note 1  
of the Notes to Consolidated Financial Statements included in Item 8 of this Annual Report on Form 10-K.Table of Contents Alphabet Inc.
34.
sentences: How does Google’s investment in AI research align with its long-term financial strategy and goals?, What role do market and industry factors play in the fluctuation of stock prices, regardless of a company's performance?, What was the total consolidated revenue for the year ended December 31, 2023, and how does it compare to the previous year?, source_sentence: Furthermore, failure to maintain and enhance our brands could harm our business, reputation, financial condition, 
and operating results. Our success will depend largely on our ability to remain a technology leader and continue to 
provide high-quality, trustworthy, innovative products and services that are truly useful and play a valuable role in a 
range of settings. 
We face a number of manufacturing and supply chain risks that could harm our business, financial 
condition, and operating results. 
We face a number of risks related to manufacturing and supply chain management, which could affect our ability 
to supply both our products and our services. 
We rely on contract manufacturers to manufacture or assemble our device s and servers and networking 
equipment used in our technical infrastructure, and we may supply the contract manufacturers with components to 
assemble t he device s and equipment. We also rely on other companies to participate in the  supply of components and  
distribution of our products and services. Our business could be negatively affected if we are not able to engage these 
companies with the necessary capabilities or capacity on reasonable terms, or if those we engage fail to meet their Table of Contents Alphabet Inc.
13.
sentences: Discuss the impact of annual stock-based compensation (SBC) awards on Alphabet Inc.'s financial reporting., What financial risks does Google face if it fails to comply with the General Data Protection Regulation (GDPR)?, How does the ability to provide innovative products and services correlate with a company's revenue growth?, source_sentence: For example, in December 2023, a California jury delivered a verdict in Epic Games v. Google  finding that Google 
violated antitrust laws related to Google Play's billing practices. The presiding judge will determine remedies in 2024 
and the range of potential remedies vary widely. We plan to appeal. In addition, the U.S. Department of Justice, 
various U.S. states, and other plaintiffs have filed several antitrust lawsuits about various aspects of our business, 
including our advertising technologies and practices, the operation and distribution of Google Search, and the 
operation and distribution of the Android operating system and Play Store. Other regulatory agencies in the U.S. and 
around the world, including competition enforcers, consumer protection agencies, and data protection authorities, have 
challenged and may continue to challenge our business practices and compliance with laws and regulations. We are 
cooperating with these investigations and defending litigation  or appealing decisions where appropriate.  
Various laws, regulations, investigations, enforcement lawsuits, and regulatory actions have  involved in the past , 
and may in the future result in substantial fines and penalties, injunctive relief, ongoing monitoring and auditing 
obligations, changes to our products and services, alterations to our business models and operations , including 
divestiture , and collateral related civil litigation or other adverse consequences, all of which could harm our business, 
reputation, financial condition, and operating results. 
Any of these legal proceedings could result in legal costs, diversion of management resources, negative publicity 
and other harms to our business. Estimating liabilities for our pending proceedings is a complex, fact-specific , and 
speculative process that requires significant judgment, and the amounts we are ultimately liable for may be less than or 
exceed our estimates. The resolution of one or more such proceedings has resulted in, and may in the future result in, 
additional substantial fines, penalties, injunctions, and other sanctions that could harm our business, reputation, 
financial condition, and operating results. 
For additional information about the ongoing material legal proceedings to which we are subject, see Legal 
Proceedings in Part I, Item 3 of this Annual Report on Form 10-K.
Privacy, data protection, and data usage regulations are complex and rapidly evolving areas. Any failure 
or alleged failure to comply with these laws could harm our business, reputation, financial condition, and 
operating results. 
Authorities around the world have adopted and are considering a number of legislative and regulatory proposals 
concerning data protection, data usage, and encryption of user data. Adverse legal rulings, legislation, or regulation 
have resulted in, and may continue to result in, fines and orders requiring that we change our practices, which have 
had and could continue to have an adverse effect on how we provide services, harming our business, reputation, 
financial condition, and operating results. These laws and regulations are evolving and subject to interpretation, and 
compliance obligations could cause us to incur substantial costs or harm the quality and operations of our products 
and services in ways that harm our business.  Examples of these laws include : 
•The General Data Protection Regulation and the United Kingdom General Data Protection Regulations, which 
apply to all of our activities conducted from an establishment in the EU or the United Kingdom, respectively, or 
related to products and services that we offer to EU or the United Kingdom users or customers, respectively, or 
the monitoring of their behavior in the EU or the UK, respectively.
•Various comprehensive U.S. state and foreign privacy laws, which give new data privacy rights to their 
respective residents (including, in California, a private right of action in the event of a data breach resulting 
from our failure to implement and maintain reasonable security procedures and practices) and impose 
significant obligations on controllers and processors of consumer data.
•State laws governing the processing of biometric information, such as the Illinois Biometric Information Privacy 
Act and the Texas Capture or Use of Biometric Identifier Act, which impose obligations on businesses that 
collect or disclose consumer biometric information. 
•Various federal, state, and foreign laws governing how companies provide age appropriate experiences to 
children and minors, including the collection and processing of children and minor’s data. These include the 
Children’s Online Privacy Protection Act of 1998, and the United Kingdom Age-Appropriate Design Code, all of 
which address the use and disclosure of the personal data of children and minors and impose obligations on 
online services or products directed to or likely to be accessed by children. 
•The California Internet of Things Security Law, which regulates the security of data used in connection with 
internet-connected devices.
sentences: What are the ethical challenges that may arise from the development of new AI products and services?, How might the California Internet of Things Security Law impose additional financial obligations on Google?, In the context of Google Services, what factors contribute to the competitive nature of the device market, and how might these factors affect financial outcomes?, source_sentence: obligations (whether due to financial difficulties or other reasons), or make adverse changes in the pricing or other 
material terms of our arrangements with them. 
We have experienced and/or may in the future experience supply shortages, price increases, quality issues, and/
or longer lead times that could negatively affect our operations, driven by raw material, component availability, 
manufacturing capacity, labor shortages, industry allocations, logistics capacity, inflation, foreign currency exchange 
rates, tariffs, sanctions and export controls, trade disputes and barriers, forced labor concerns, sustainability sourcing 
requirements, geopolitical tensions, armed conflicts, natural disasters or pandemics, the effects of climate change 
(such as sea level rise, drought, flooding, heat waves, wildfires and resultant air quality effects and power shutdowns  
associated with wildfire prevention, and increased storm severity), power loss, and significant changes in the financial 
or business condition of our suppliers. Some of the components we use in our technical infrastructure and our device s 
are available from only one or limited sources, and we may not be able to find replacement vendors on favorable terms 
in the event of a supply chain disruption. A significant supply interruption that affects us or our vendors could delay 
critical data center upgrades or expansions and delay consumer product availability . 
We may enter into long-term contracts for materials and products that commit us to significant terms and 
conditions. We may face costs for materials and products that are not consumed due to market demand, technological 
change, changed consumer preferences, quality, product recalls, and warranty issues. For instance, because certain of 
our hardware  supply contracts have volume-based pricing or minimum purchase requirements, if the volume of sales 
of our devices decreases or does not reach projected targets, we could face increased materials and manufacturing 
costs or other financial liabilities that could make our products more costly per unit to manufacture and harm our 
financial condition and operating results. Furthermore, certain of our competitors may negotiate more favorable 
contractual terms based on volume and other commitments that may provide them with competitive advantages and 
may affect our supply. 
Our device s have had, and in the future may have, quality issues resulting from design, manufacturing, or 
operations. Sometimes, these issues may be caused by components we purchase from other manufacturers or 
suppliers. If the quality of our products and services does not meet expectations or our products or services are 
defective or require a recall, it could harm our reputation, financial condition, and operating results.  
We require our suppliers and business partners to comply with laws and, where applicable, our company policies 
and practices, such as the Google Supplier Code of Conduct, regarding workplace and employment practices, data 
security, environmental compliance, and intellectual property licensing, but we do not control them or their practices. 
Violations of law or unethical business practices could result in supply chain disruptions, canceled orders, harm to key 
relationships, and damage to our reputation. Their failure to procure necessary license rights to intellectual property 
could affect our ability to sell our products or services and expose us to litigation or financial claims. 
Interruption to, interference with, or failure of our complex information technology and communications 
systems could hurt our ability to effectively provide our products and services, which could harm  our 
reputation, financial condition, and operating results. 
The availability of our products and services and fulfillment of our customer contracts depend on the continuing 
operation of our information technology and communications systems. Our systems are vulnerable to damage, 
interference, or interruption from modifications or upgrades, terrorist attacks, state-sponsored attacks, natural disasters 
or pandemics, geopolitical tensions or armed conflicts, export controls and sanctions, the effects of climate change 
(such as sea level rise, drought, flooding, heat waves, wildfires and resultant air quality effects and power shutdowns  
associated with wildfire prevention, and increased storm severity), power loss, utility outages, telecommunications 
failures, computer viruses, software bugs, ransomware attacks, supply-chain attacks, computer denial of service 
attacks, phishing schemes, or other attempts to harm or access our systems. Some of our data centers are located in 
areas with a high risk of major earthquakes or other natural disasters. Our data centers are also subject to break-ins, 
sabotage, and intentional acts of vandalism, and, in some cases, to potential disruptions resulting from problems 
experienced by facility operators or disruptions as a result of geopolitical tensions and conflicts happening in the area. 
Some of our systems are not fully redundant, and disaster recovery planning cannot account for all eventualities. The 
occurrence of a natural disaster or pandemic, closure of a facility, or other unanticipated problems affecting our data 
centers could result in lengthy interruptions in our service.
sentences: What are the implications of increased logistics capacity costs on a company's overall financial performance?, What are the potential risks associated with the company's reliance on consumer subscription-based products for revenue?, How might legal proceedings and regulatory scrutiny affect a company's financial condition and operating results?
model-index: name: SUJET AI bge-base Finance Matryoshka
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 768
type: dim_768
metrics: type: cosine_accuracy@1
value: 0.015384615384615385
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.04657342657342657
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.06993006993006994
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.13076923076923078
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.015384615384615385
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.015524475524475523
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.013986013986013986
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.013076923076923076
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.015384615384615385
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.04657342657342657
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.06993006993006994
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.13076923076923078
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.0620726064588503
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.04157842157842149
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.05757497178689022
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 512
type: dim_512
metrics: type: cosine_accuracy@1
value: 0.014965034965034965
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.04531468531468531
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.06713286713286713
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.12755244755244755
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.014965034965034965
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.015104895104895105
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.013426573426573427
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.012755244755244756
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.014965034965034965
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.04531468531468531
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.06713286713286713
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.12755244755244755
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.06036389249600748
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.04032722832722825
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.05606060146944153
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 256
type: dim_256
metrics: type: cosine_accuracy@1
value: 0.012167832167832168
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.04055944055944056
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.06265734265734266
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.11734265734265734
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.012167832167832168
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.013519813519813519
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.012531468531468533
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.011734265734265736
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.012167832167832168
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.04055944055944056
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.06265734265734266
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.11734265734265734
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.054805553416946595
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.03612859362859355
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.050715277611358314
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 128
type: dim_128
metrics: type: cosine_accuracy@1
value: 0.01020979020979021
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.03538461538461538
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.05118881118881119
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.09734265734265735
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.01020979020979021
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.011794871794871797
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.01023776223776224
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.009734265734265736
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.01020979020979021
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.03538461538461538
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.05118881118881119
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.09734265734265735
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.045562900318375184
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.03009612609612603
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.04272564391942989
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 64
type: dim_64
metrics: type: cosine_accuracy@1
value: 0.005874125874125874
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.02125874125874126
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.03370629370629371
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.06741258741258742
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.005874125874125874
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.007086247086247086
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.006741258741258742
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.006741258741258742
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.005874125874125874
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.02125874125874126
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.03370629370629371
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.06741258741258742
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.030435876859011154
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.01942596292596293
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.028981824813925826
name: Cosine Map@100
verified: no
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Created: 2024-07-22 03:30:35