Model: Abinaya/snowflake-arctic-embed-financial-matryoshka
Author: Abinaya
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:6300, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss, en, arxiv:1908.10084, arxiv:2205.13147, arxiv:1705.00652, base_model:Snowflake/snowflake-arctic-embed-m-v1.5, base_model:finetune:Snowflake/snowflake-arctic-embed-m-v1.5, license:apache-2.0, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: Snowflake/snowflake-arctic-embed-m-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: Snowflake/snowflake-arctic-embed-m-v1.5
widget: source_sentence: Cost of net revenues represents costs associated with customer support, site operations, and payment processing. Significant components of these costs primarily consist of employee compensation (including stock-based compensation), contractor costs, facilities costs, depreciation of equipment and amortization expense, bank transaction fees, credit card interchange and assessment fees, authentication costs, shipping costs and digital services tax.
sentences: What was the allowance for loan losses on GM Financial’s retail finance receivables portfolio at the end of 2023?, What are the key components of cost of net revenues?, What percentage of McLane's consolidated sales in 2023 was comprised by grocery sales?, source_sentence: The net cash used in operating activities was reported as $215.2 million, $628.5 million, and $614.1 million for three respective periods.
sentences: What was the net cash used in operating activities for the respective periods listed?, What was the total growth investment capital expenditures in 2022?, Where is the Financial Statement Schedule in IBM’s 2023 Form 10-K located?, source_sentence: In 2023, the total operating expenses amounted to $4,331.6 million, including costs of services, selling, general and administrative expenses, and depreciation and amortization.
sentences: What were the total operating expenses for the company in 2023?, How does CMS adjust the company's Medicare Advantage and Part D premium revenues?, What was the average stockholders' deficit over the past five fiscal years up to 2023?, source_sentence: Johnson & Johnson reported cash and cash equivalents of $21,859 million as of the end of 2023.
sentences: Who are GameStop's main competitors in the global gaming industry?, What was the amount of cash and cash equivalents reported by Johnson & Johnson at the end of 2023?, By what percentage has Chevron's UK oil-equivalent production increased from 2022 to 2023?, source_sentence: As of December 31, 2023, Bank of America reported gross derivative assets and liabilities totaling $290.3 billion and $301.2 billion, respectively. After accounting for legally enforceable master netting agreements and cash collateral, these figures were adjusted to $39.3 billion in assets and $43.4 billion in liabilities.
sentences: What is the significant raw material used by MiTek and how does its supply impact the company?, By what percentage did HIV product sales increase in 2023 compared to the previous year?, What were the total derivative assets and liabilities at Bank of America as of December 31, 2023, after adjusting for master netting agreements and cash collateral?
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: 0.7542857142857143
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8614285714285714
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8914285714285715
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9328571428571428
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7542857142857143
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.28714285714285714
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.17828571428571424
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09328571428571428
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.7542857142857143
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.8614285714285714
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8914285714285715
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9328571428571428
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8430593058746703
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.814359410430839
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.8171120142759164
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: 0.7542857142857143
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8614285714285714
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8914285714285715
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.93
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7542857142857143
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.28714285714285714
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.17828571428571427
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09299999999999999
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.7542857142857143
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.8614285714285714
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8914285714285715
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.93
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8409010665384006
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.8124268707482996
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.8153207256101372
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: 0.7557142857142857
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.86
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8942857142857142
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9285714285714286
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7557142857142857
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2866666666666667
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.17885714285714283
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09285714285714286
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.7557142857142857
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.86
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8942857142857142
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9285714285714286
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8408862139768868
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.8128662131519274
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.8157678611118373
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: 0.7442857142857143
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.85
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8871428571428571
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9142857142857143
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7442857142857143
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2833333333333333
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.1774285714285714
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09142857142857141
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.7442857142857143
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.85
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8871428571428571
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9142857142857143
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8298257719970505
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.802593537414966
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.8061119393433516
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: 0.7
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8157142857142857
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8571428571428571
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: 0.2719047619047619
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.1714285714285714
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09071428571428569
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.7
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.8157142857142857
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8571428571428571
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9071428571428571
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8023275744891828
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7689109977324261
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7722063607472032
name: Cosine Map@100
verified: no
Likes: 0 | All-time downloads: 8
Created: 2025-02-17 18:22:57