Model: preetham315/bge-base-financial-matryoshka
Author: preetham315
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, en, arxiv:1908.10084, arxiv:2205.13147, arxiv:1705.00652, base_model:BAAI/bge-base-en-v1.5, base_model:finetune:BAAI/bge-base-en-v1.5, license:apache-2.0, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: BAAI/bge-base-en-v1.5
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:6300, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss
base_model: BAAI/bge-base-en-v1.5
widget: source_sentence: Item 8 in IBM's 2023 Annual Report to Stockholders details the Financial Statements and Supplementary Data, which are included on pages 44 through 121.
sentences: What is the purpose of the unused credit facility fee payments, and what is their total as of June 30, 2023?, What section of IBM's Annual Report for 2023 contains the Financial Statements and Supplementary Data?, What position did K. Michelle Borninkhof hold at McDonald’s before joining AutoZone?, source_sentence: When evaluating for impairment, we first compare the carrying value of the asset to the asset’s estimated future undiscounted cash flows. If the estimated undiscounted future cash flows are less than the carrying value of the asset, we determine if we have an impairment loss by comparing the carrying value of the asset to the asset's estimated fair value and recognize an impairment charge when the asset’s carrying value exceeds its estimated fair price.
sentences: What was the percentage change in net revenues for the Consumer Products segment from 2022 to 2023?, How are impairment losses on long-lived assets determined?, What was the amount of pretax net losses on derivative instruments expected to be reclassified into earnings over the next 12 months as of December 31, 2023, according to the data provided?, source_sentence: The company develops and produces renewable fuels, including but not limited to renewable diesel, renewable gasoline, biodiesel, sustainable aviation fuel and renewable natural gas (RNG).
sentences: What types of renewable fuels does the Chevron Renewable Energy Group produce?, What are the main contributors to the revenue of Xbox?, How have changes by Apple and Google affected the company's advertising capabilities?, source_sentence: Our ERGs provide many contributions, such as mentoring programs that connect diverse employees with senior leaders who can support their career goals, partnerships with recruiters and diverse early career and professional organizations that can assist in strengthening the diverse talent pipeline and programs that educate and inform on the richness of the global cultures that we share.
sentences: What phase of renovation was announced for Marina Bay Sands in 2023?, How did the unit sales of new homes change in the fourth quarter of 2022 compared to 2021?, What kinds of contributions do ERGs provide?, source_sentence: The initial terms of Hilton's management contracts are typically 20 to 30 years.
sentences: What are the typical initial terms of Hilton's management contracts?, What was the total revenue in millions for 2023 according to the disaggregated revenue information by segment?, What principle governs Macao under the Basic Law after December 20, 1999?
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: BGE base Financial Matryoshka
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 768
type: dim_768
metrics: type: cosine_accuracy@1
value: 0.7
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8257142857142857
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8585714285714285
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9071428571428571
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2752380952380952
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.1717142857142857
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.0907142857142857
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.7
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.8257142857142857
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8585714285714285
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9071428571428571
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8042901803629035
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7714574829931975
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.774634210341598
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: 0.7
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.82
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.85
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9057142857142857
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2733333333333333
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.16999999999999998
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09057142857142855
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.7
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.82
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.85
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9057142857142857
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8020168113658792
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7691179138321999
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7725170259617702
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: 0.6828571428571428
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.82
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8528571428571429
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6828571428571428
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2733333333333333
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.17057142857142854
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.6828571428571428
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.82
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8528571428571429
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7934699471629124
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7592913832199544
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.762707392745061
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: 0.7971428571428572
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8285714285714286
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.87
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6742857142857143
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.26571428571428574
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.1657142857142857
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.087
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.6742857142857143
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.7971428571428572
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8285714285714286
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.87
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7733108370502226
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7422732426303855
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7472617177636981
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: 0.6242857142857143
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.7514285714285714
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.7914285714285715
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8371428571428572
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6242857142857143
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.25047619047619046
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.15828571428571425
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.0837142857142857
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.6242857142857143
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.7514285714285714
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.7914285714285715
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8371428571428572
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7307335092507811
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.6966581632653059
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7018444934217598
name: Cosine Map@100
verified: no
Likes: 0 | All-time downloads: 10
Created: 2025-11-25 20:04:35