Sentence Similarity
sentence-transformers
Safetensors
new
feature-extraction
Generated from Trainer
dataset_size:9400
loss:MultipleNegativesRankingLoss
custom_code
Eval Results (legacy)
text-embeddings-inference
Instructions to use Kouskousi/gte-large-en-v1.5_SEC_docs_ft_with_5_epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Kouskousi/gte-large-en-v1.5_SEC_docs_ft_with_5_epochs with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Kouskousi/gte-large-en-v1.5_SEC_docs_ft_with_5_epochs", trust_remote_code=True) sentences = [ "What was the percentage change in net investment income from 2021 to 2022?", "Index\nAmeriprise Financial, Inc.\nConsolidated Results of Operations\nYear Ended December 31, 2022 Compared to Year Ended December 31, 2021\nThe following table presents our consolidated results of operations:\n \nYears Ended December 31,\nChange\n2022\n2021\n(in millions)\nRevenues\nManagement and financial advice fees\n$\n9,033 \n$\n9,275 \n$\n(242)\n(3)\n%\nDistribution fees\n1,939 \n1,828 \n111 \n6 \nNet investment income\n1,474 \n1,683 \n(209)\n(12)\nPremiums, policy and contract charges\n1,397 \n221 \n1,176 \nNM\nOther revenues\n491 \n382 \n109 \n29 \nTotal revenues\n14,334 \n13,389 \n945 \n7 \nBanking and deposit interest expense\n76 \n12 \n64 \nNM\nTotal net revenues\n14,258 \n13,377 \n881 \n7 \nExpenses\n \n \n \n \nDistribution expenses\n4,935 \n5,028 \n(93)\n(2)\nInterest credited to fixed accounts\n665 \n600 \n65 \n11 \nBenefits, claims, losses and settlement expenses\n242 \n(156)\n398 \nNM\nRemeasurement (gains) losses of future policy benefit reserves\n1 \n(52)\n53 \nNM\nChange in fair value of market risk benefits\n311 \n(113)\n424 \nNM\nAmortization of deferred acquisition costs\n252 \n259 \n(7)\n(3)\nInterest and debt expense\n198 \n191 \n7 \n4 \nGeneral and administrative expense\n3,723 \n3,435 \n288 \n8 \nTotal expenses\n10,327 \n9,192 \n1,135 \n12 \nPretax income\n3,931 \n4,185 \n(254)\n(6)\nIncome tax provision\n782 \n768 \n14 \n2 \nNet income\n$\n3,149 \n$\n3,417 \n$\n(268)\n(8)\n%\nNM Not Meaningful - variance equal to or greater than 100%.\nOverall\nPretax income decreased $254 million, or 6%, for 2022 compared to the prior year. The following impacts were significant drivers of the year-over-year change in pretax\nincome:\n•\nThe prior year impact of the block transfer reinsurance transaction resulted in $524 million of pretax income for 2021 primarily reflecting the net realized gains on\ninvestments sold to the reinsurer.\n•\nA negative impact from lower average equity markets compared to the prior year. Our average WEI, which is a proxy for equity movements on AUM, decreased\n7% in 2022 compared to the prior year. The average S&P 500 index was 4% lower for 2022 compared to the prior year.\n•\nThe favorable impact of unlocking was $133 million for 2022 compared to an unfavorable impact of $113 million for the prior year.\n•\nA favorable impact from the increase in short-term interest rates compared to the prior year.\n•\nThe market impact on non-traditional long-duration products (including variable and fixed deferred annuity contracts and UL insurance contracts), net of hedges\nand the reinsurance accrual was a benefit of $483 million for 2022 compared to a benefit of $464 million for the prior year.\n50", "Intersegment revenues for this segment reflect fees paid by our Asset Management segment for marketing support and other services provided in\nconnection with the availability of VIT Funds. Intersegment expenses for this segment include distribution expenses for services provided by our Advice & Wealth\nManagement segment, as well as expenses for investment management services provided by our Asset Management segment. All intersegment activity is eliminated\nin our consolidated results.\nProtection\nWe provide life and disability income insurance products to address the protection and risk management needs of our retail clients. New \nRiverSource\n insurance\nproducts are exclusively offered through our advisor network. Our advisors also offer insurance products of unaffiliated carriers. The primary sources of revenues for\nour protection business are premiums, fees and charges we receive to assume insurance-related risk. We earn net investment income on owned assets supporting\ninsurance reserves and on capital supporting the business. We also receive fees based on the level of the RiverSource Life companies’ separate account assets\nsupporting variable universal life investment options. The protection products earn intersegment revenues from fees paid by our Asset Management segment for\nmarketing support and other services provided in connection with the availability of VIT Funds under the variable universal life contracts. Intersegment expenses for\nthe protection products include distribution expenses for services provided by our Advice & Wealth Management segment, as well as expenses for investment\nmanagement services provided by our Asset Management segment. All intersegment activity is eliminated in our consolidated results.\n®\n6", "Index\nAmeriprise Financial, Inc.\nSlide 5 - Regulatory Oversight Chart.jpg\nAdvice & Wealth Management Regulation\nCertain of our subsidiaries are registered with the SEC as broker-dealers under the Securities Exchange Act of 1934 (“Exchange Act”) and with certain states, the\nDistrict of Columbia and other U.S. territories. Our broker-dealer subsidiaries are also members of self-regulatory organizations, including Financial Industry\nRegulatory Authority (“FINRA”), and are subject to the regulations of these organizations. The SEC and FINRA have stringent rules with respect to the net capital\nrequirements (which includes rules around customer protection) and the marketing and trading activities of broker-dealers. Our broker-dealer subsidiaries, as well as\nour financial advisors and other personnel, must obtain all required state and FINRA licenses and registrations to engage in the securities business and take certain\nsteps to maintain such registrations in good standing. SEC regulations also impose notice requirements and capital\n11" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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