Model: CatSchroedinger/nomic-v1.5-financial-matryoshka
Author: CatSchroedinger
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, nomic_bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:6300, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss, custom_code, en, arxiv:1908.10084, arxiv:2205.13147, arxiv:1705.00652, base_model:nomic-ai/nomic-embed-text-v1.5, base_model:finetune:nomic-ai/nomic-embed-text-v1.5, license:apache-2.0, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: nomic-ai/nomic-embed-text-v1.5
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:6300, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss
base_model: nomic-ai/nomic-embed-text-v1.5
widget: source_sentence: What contributed to the increase in accounts receivable in 2023 compared to the previous year?
sentences: At December 31, 2023, Caterpillar’s consolidated net worth was $19.55 billion, which was above the $9.00 billion required under the Credit Facility., Accounts receivable increased to $3,154 million at October 29, 2023 from $2,958 million at October 30, 2022, primarily due to revenue linearity, offset in part by additional receivables sold through factoring arrangements., 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., source_sentence: What primarily constituted marketing expenses for the year ended December 31, 2025?
sentences: This is the world’s first liquefied natural gas (LNG) plant supplied with associated gas, where the natural gas is a byproduct of crude oil production., Marketing expenses consist primarily of advertising expenses and certain payments made to our marketing and advertising sales partners., In January 2024, the CFPB proposed a rule that could significantly restrict bank overdraft fees., source_sentence: What is the total cash flow from operating activities for Airbnb, Inc. in 2023?
sentences: Net cash provided by operating activities | 2,313 | | 3,430 | | 3,884, Under ASO contracts, self-funded employers generally retain the risk of financing the costs of health benefits, with large group customers retaining a greater share and small group customers a smaller share of the cost of health benefits., Of the $2.2 billion in revenue that we generated in 2023, 55% came from customers in the government segment, and 45% came from customers in the commercial segment., source_sentence: What major legislative act mentioned in the text was enacted by the U.S. government on August 16, 2022?
sentences: In July 2022, the borrowing capacity under the back-up facilities expanded from $3.0 billion to $5.0 billion., The Company manages its investment portfolio to limit its exposure to any one issuer or market sector, and largely limits its investments to investmententious grade quality., On August 16, 2022, the U.S. government enacted the Inflation Reduction Act of 2022., source_sentence: What is the maximum duration for patent term restoration for pharmaceutical products in the U.S.?
sentences: Patent term restoration for a single patent for a pharmaceutical product is provided to U.S. patent holders to compensate for a portion of the time invested in clinical trials and the U.S. Food and Drug Administration (FDA). There is a five-year cap on any restoration, and no patent's expiration date may be extended beyond 14 years from FDA approval., Using AI technologies, our Tax Advisor offering leverages information generated from our ProConnect Tax Online and Lacerte offerings to enable year-round tax planning services and communicate tax savings strategies to clients., In 2023, catastrophe losses were primarily due to U.S. flooding, hail, tornadoes, and wind events.
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: nomic 1.5 base Financial Matryoshka
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 768
type: dim_768
metrics: type: cosine_accuracy@1
value: 0.7285714285714285
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8514285714285714
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8885714285714286
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.92
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7285714285714285
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.28380952380952384
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.17771428571428569
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09199999999999998
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.7285714285714285
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.8514285714285714
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8885714285714286
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.92
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.82688931465871
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7967777777777774
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.8005981271078951
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: 0.7142857142857143
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8414285714285714
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8857142857142857
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9214285714285714
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7142857142857143
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2804761904761905
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.17714285714285713
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09214285714285714
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.7142857142857143
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.8414285714285714
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8857142857142857
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9214285714285714
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8200375337187854
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7872664399092969
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7910342395417198
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: 0.7014285714285714
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8385714285714285
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.88
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9242857142857143
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7014285714285714
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2795238095238095
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.176
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09242857142857142
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.7014285714285714
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.8385714285714285
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.88
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9242857142857143
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8144449051665447
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7791428571428568
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7827133843260672
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: 0.7071428571428572
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8342857142857143
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8742857142857143
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9242857142857143
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7071428571428572
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2780952380952381
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.17485714285714282
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09242857142857142
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.7071428571428572
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.8342857142857143
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8742857142857143
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9242857142857143
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8164938269316206
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.78222052154195
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7855606408045326
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: 0.67
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8085714285714286
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8514285714285714
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8985714285714286
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.67
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.26952380952380955
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.17028571428571426
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08985714285714284
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.67
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.8085714285714286
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8514285714285714
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8985714285714286
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7841742147445607
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7477647392290245
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7519306451620806
name: Cosine Map@100
verified: no
Likes: 0 | All-time downloads: 1252
Created: 2025-02-01 02:25:48