Model: shail-2512/nomic-embed-financial-matryoshka
Author: shail-2512
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, dataset:philschmid/finanical-rag-embedding-dataset, 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: Where in the Annual Report can one find a description of certain legal matters and their impact on the company?
sentences: Apollo coordinates the delivery of new features, security updates, and platform configurations, ensuring the continuous operation of systems in any environment. It was introduced commercially in 2021., In the Annual Report on Form 10-K, 'Item 1A. Risk Factors' provides a further description of certain legal matters and their impact on the company., During fiscal 2022, we opened four new stores in Mexico., source_sentence: How does the company assess uncertain tax positions?
sentences: We recognize tax benefits from uncertain tax positions only if we believe that it is more likely than not that the tax position will be sustained on examination by the taxing authorities based on the technical merits of the position., CMS uses a risk-adjustment model which adjusts premiums paid to Medicare Advantage, or MA, plans according to health status of covered members. The risk-adjustment model, which CMS implemented pursuant to the Balanced Budget Act of 1997 (BBA) and the Benefits Improvement and Protection Act of 2000 (BIPA), generally pays more where a plan's membership has higher expected costs. Under this model, rates paid to MA plans are based on actuarially determined bids, which include a process whereby our prospective payments are based on our estimated cost of providing standard Medicare-covered benefits to an enrollee with a 'national average risk profile.' That baseline payment amount is adjusted to account for certain demographic characteristics and health status of our enrolled members., Walmart Inc. reported total revenues of $611,289 million for the fiscal year ended January 31, 2023., source_sentence: When does the 364-day facility entered into in August 2023 expire, and what is its total amount?
sentences: In 2023, the total revenue generated by Emgality amounted to 678.3., In August 2023, we entered into a new 364-day facility. The 364-day facility of $3.15 billion expires in August 2024., Diluted EPS increased $0.09, or 2%, to $5.90 as the decrease in net earnings was more than fully offset by a reduction in shares outstanding., source_sentence: What does the company believe adds significant value to its business regarding intellectual property?
sentences: We believe that, to varying degrees, our trademarks, trade names, copyrights, proprietary processes, trade secrets, trade dress, domain names and similar intellectual property add significant value to our business, Railroad operating revenues declined 6.9% in 2023 compared to 2022, reflecting an overall volume decrease of 5.7% and a decrease in average revenue per car/unit of 0.6%, primarily attributable to lower fuel surcharge revenue, partially offset by favorable price and mix., Cash provided by operating activities increased from $26.413 billion in 2022 to $28.501 billion in 2023, an increase of approximately $2.088 billion., source_sentence: How are government incentives treated in accounting according to the given information?
sentences: The components of 'Other income (expense), net' for the year ended December 30, 2023, were $197 million; for December 31, 2022, they were $8 million; and for December 25, 2021, they were $55 million., We are entitled to certain advanced manufacturing production credits under the IRA, and government incentives are not accounted for or classified as an income tax credit. We account for government incentives as a reduction of expense, a reduction of the cost of the capital investment or other income based on the substance of the incentive received. Benefits are generally recorded when there is reasonable assurance of receipt or, as it relates with advanced manufacturing production credits, upon the generation of the credit., Basic net income per share is computed by dividing net income attributable to common stock by the weighted-average number of shares of common stock outstanding during the period.
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 Embed Financial Matryoshka
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 768
type: dim_768
metrics: type: cosine_accuracy@1
value: 0.7185714285714285
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.87
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.9014285714285715
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9357142857142857
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7185714285714285
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.29
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.18028571428571427
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09357142857142857
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.7185714285714285
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.87
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.9014285714285715
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9357142857142857
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8337966812161252
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.8004784580498868
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.8030662019934727
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: 0.7157142857142857
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8685714285714285
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.9028571428571428
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9342857142857143
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7157142857142857
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2895238095238095
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.18057142857142855
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09342857142857142
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.7157142857142857
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.8685714285714285
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.9028571428571428
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9342857142857143
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8320816465681472
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7986201814058957
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.8013251784905495
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: 0.7028571428571428
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.86
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8914285714285715
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9271428571428572
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7028571428571428
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2866666666666667
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.17828571428571427
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09271428571428571
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.7028571428571428
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.86
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8914285714285715
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9271428571428572
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8208030315973883
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7862023809523814
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7893111186082761
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: 0.7
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8428571428571429
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8771428571428571
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9271428571428572
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.28095238095238095
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.1754285714285714
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09271428571428571
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.7
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.8428571428571429
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8771428571428571
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9271428571428572
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8174548081454337
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7820821995464855
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7852661387487447
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: 0.69
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.83
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8671428571428571
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9128571428571428
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.69
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.27666666666666667
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.1734285714285714
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09128571428571428
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.69
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.83
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8671428571428571
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9128571428571428
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.804303333645382
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.769315192743764
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7729055647510643
name: Cosine Map@100
verified: no
datasets: philschmid/finanical-rag-embedding-dataset
Likes: 2 | All-time downloads: 323
Created: 2024-12-06 05:03:36