Model: 1tunadogan/gte-small-financial-matryoshka
Author: 1tunadogan
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:6300, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss, arxiv:1908.10084, arxiv:2205.13147, arxiv:1705.00652, base_model:thenlper/gte-small, base_model:finetune:thenlper/gte-small, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: thenlper/gte-small
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:6300, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss
base_model: thenlper/gte-small
widget: source_sentence: What was the pre-tax net favorable prior period development for 2022 and what factors contributed to it?
sentences: In 2023, $2.2 billion or 5% was primarily related to patient co-pay assistance, cash discounts for prompt payment, distributor fees, and sales return provisions., The pre-tax net favorable prior period development for 2022 was $876 million. Adverse development factors like molestation claims, primarily reviver statute-related compromising $155 million, and $113 million related to legacy asbestos and environmental exposures significantly influenced this outcome., The Company currently holds a broad collection of intellectual property rights relating to certain aspects of its hardware devices, accessories, software and services. This includes patents, designs, copyrights, trademarks and other forms of intellectual property rights in the U.S. and various foreign countries. Although the Company believes the ownership of such intellectual property rights is an important factor in differentiating its business and that its success does depend in part on such ownership, the Company relies primarily on the innovative skills, technical competence and marketing abilities of its personnel., source_sentence: How does the reserving method for Global Reinsurance differ due to its use of reports from ceding companies?
sentences: For our casualty reinsurance business, we generally rely on ceding companies to report claims and then use that data as a key input to estimate unpaid losses and loss expenses. Because most of our reinsurance business is produced by brokers, ceding companies generally first submit claim and other financial information to brokers, who then report the proportionate share of such information to each reinsurer of a particular treaty. This results in unique risks and uncertainties including reporting inaccuracies, delays, and variability in the number of claims., Dynamics revenue is driven by the number of users licensed and applications consumed, expansion of average revenue per user, and the continued shift to Dynamics 365, a unified set of cloud-based intelligent business applications, including Power Apps and Power Automate., At the end of 2023, Chevron owned or had under lease or similar agreements a total of 63,730 thousand acres of crude oil and natural gas properties globally., source_sentence: What impact does the EU's Carbon Border Adjustment Mechanism (CBAM) have on companies importing certain materials like iron, steel, and aluminum?
sentences: Gross contract assets related to in-transit shipments totaled $686 million and $861 million at May 31, 2023 and May 31, 2022, respectively., The EU adopted the Carbon Border Adjustment Mechanism (CBAM), which subjects certain imported materials such as iron, steel, and aluminum, to a carbon levy linked to the carbon price payable on domestic goods under the European Trading Scheme. The CBAM could increase costs of importing such materials and/or limit the ability to import lower cost materials from non-EU countries., UnitedHealthcare Community & State provides diversified health care benefits products and services to state programs caring for the economically disadvantaged, the medically underserved and those without the benefit of employer-funded health care coverage., source_sentence: What changes occurred in the pension and OPEB activities from 2021 to 2023?
sentences: Pension and OPEB activities showed an improvement, recording -$2.4 billion in 2021 and improving to -$1.0 billion in 2023., In the 10-K filing, Item 3 directs to Note 16 under Commitments and Contingencies for more detailed information, which can be found in Item 8 of Part II., A significant source of competition comes from companies that provide or intend to provide GPUs, CPUs, DPUs, embedded SoCs, and other accelerated, AI computing processor produits, and providers of semiconductor-based high-performance interconnect products based on InfiniBand, Ethernet, Fibre Channel and proprietary technologies., source_sentence: How much did GM Financial's primary source of cash from finance charge income increase in 2023 compared to the previous year?
sentences: As of December 31, 2023, the balance of deferred net loss on derivatives included in accumulated other comprehensive income was $377 million after-tax., In the year ended December 31, 2023, Net cash provided by operating activities increased primarily due to an increase in finance charge income of $1.7 billion., A corporate entity referred to as a management services organization (MSO) provides various management services and keeps the physician entity 'friendly' through a stock transfer restriction agreement and/or other relationships. The fees under the management services arrangement must comply with state fee splitting laws, which in some states may prohibit percentage-based fees.
pipeline_tag: sentence-similarity
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
model-index: name: SentenceTransformer based on thenlper/gte-small
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 384
type: dim_384
metrics: type: cosine_accuracy@1
value: 0.6914285714285714
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.82
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8614285714285714
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8957142857142857
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6914285714285714
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2733333333333334
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.17228571428571426
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08957142857142855
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.6914285714285714
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.82
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8614285714285714
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8957142857142857
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7944567090670931
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7617698412698412
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7656441565775396
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: 0.68
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8157142857142857
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8557142857142858
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8914285714285715
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.68
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.27190476190476187
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.17114285714285712
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08914285714285713
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.68
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.8157142857142857
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8557142857142858
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8914285714285715
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7879204498117958
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7545425170068025
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7583265684840111
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: 0.6742857142857143
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8042857142857143
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8385714285714285
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8814285714285715
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6742857142857143
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2680952380952381
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.16771428571428568
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08814285714285713
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.6742857142857143
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.8042857142857143
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8385714285714285
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8814285714285715
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7779698741538069
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7448072562358273
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7490774090407
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: 0.65
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.7728571428571429
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8242857142857143
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8642857142857143
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.65
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2576190476190476
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.1648571428571428
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08642857142857141
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.65
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.7728571428571429
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8242857142857143
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8642857142857143
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7562373626259189
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7216831065759635
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7263435834706533
name: Cosine Map@100
verified: no
Likes: 0 | All-time downloads: 43
Created: 2025-09-17 20:45:30