Model: magnifi/bge-small-en-v1.5-ft-orc-0930-dates
Author: magnifi
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:1090, loss:MultipleNegativesRankingLoss, arxiv:1908.10084, arxiv:1705.00652, base_model:BAAI/bge-small-en-v1.5, base_model:finetune:BAAI/bge-small-en-v1.5, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: BAAI/bge-small-en-v1.5
Card metadata: base_model: BAAI/bge-small-en-v1.5
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
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:1090, loss:MultipleNegativesRankingLoss
widget: source_sentence: how do different regions contribute to my returns
sentences: get_portfolio(['type'],None): portfolio, filter('portfolio','type','==','ETF'): portfolio, get_attribute('portfolio',['losses'],'<DATES>'): portfolio, filter('portfolio','losses','<','0'): portfolio, sort('portfolio','losses','asc'): portfolio, get_portfolio(None,None): portfolio, factor_contribution('portfolio','<DATES>','region',None,'returns'): portfolio, get_portfolio(['marketValue'],None): portfolio, get_attribute('portfolio',['<TICKER1>'],'<DATES>'): portfolio, calculate('portfolio',['marketValue', '<TICKER1>'],'multiply','expo_<TICKER1>'): portfolio, sort('portfolio','expo_<TICKER1>','desc'): portfolio, aggregate('portfolio','ticker','expo_<TICKER1>','sum',None): port_expo_<TICKER1>, source_sentence: which percent of my portfolio is in single stocks?
sentences: get_portfolio(['quantity', 'averageCost', 'marketValue'],None): portfolio, filter('portfolio','ticker','==','<TICKER1>'): portfolio, calculate('portfolio',['quantity', 'averageCost'],'multiply','cost_basis'): portfolio, calculate('portfolio',['marketValue', 'cost_basis'],'difference','profit'): profit_<TICKER1>, aggregate('portfolio','ticker','profit','sum',None): profit_<TICKER1>, get_portfolio(['type'],None): portfolio, filter('portfolio','type','==','SHARE'): portfolio, aggregate('portfolio','ticker','marketValue','sum',None): stocks_amount, get_portfolio(None,None): portfolio, get_attribute('portfolio',['dividend yield'],'<DATES>'): portfolio, filter('portfolio','dividend yield','>','0'): portfolio, sort('portfolio','dividend yield','desc'): portfolio, source_sentence: what is the volatility of each of my holdings?
sentences: get_portfolio(None,None): portfolio, get_attribute('portfolio',['gains'],'<DATES>'): portfolio, sort('portfolio','gains','desc'): portfolio, get_attribute(['<TICKER1>'],['returns'],'<DATES>'): <TICKER1>_performance_data, get_portfolio(None,None): portfolio, factor_contribution('portfolio','<DATES>','asset_class','global bonds','returns'): portfolio, get_portfolio(['type'],None): portfolio, get_attribute('portfolio',['risk'],'<DATES>'): portfolio, sort('portfolio','risk','asc'): portfolio, source_sentence: list all paper trading portfolios
sentences: virtual_portfolios, get_portfolio(['averageCost'],None): portfolio, get_attribute('portfolio',['price'],'<DATES>'): portfolio, calculate('portfolio',['price', 'averageCost'],'difference','price_delta'): portfolio, filter('portfolio','price_delta','>','0'): portfolio, sort('portfolio','price_delta','desc'): portfolio, get_portfolio(None,<PORTFOLIO_NAME_1>): portfolio, get_attribute('portfolio',['gains'],'<DATES>'): portfolio, filter('portfolio','gains','>','0'): portfolio, sort('portfolio','gains','desc'): portfolio, source_sentence: what is my exposure to US Equities?
sentences: get_portfolio(None,None): portfolio, factor_contribution('portfolio','<DATES>','asset_class','us equity','portfolio'): portfolio, get_portfolio(None,None): portfolio, factor_contribution('portfolio','<DATES>','sector','sector industrials','portfolio'): portfolio, get_portfolio(['type'],None): portfolio, filter('portfolio','type','==','ETF'): portfolio, get_attribute('portfolio',['gains'],'<DATES>'): portfolio, filter('portfolio','gains','>','0'): portfolio, sort('portfolio','gains','desc'): portfolio
model-index: name: SentenceTransformer based on BAAI/bge-small-en-v1.5
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: Unknown
type: unknown
metrics: type: cosine_accuracy@1
value: 0.678082191780822
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8082191780821918
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.863013698630137
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9315068493150684
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.678082191780822
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2694063926940639
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.17260273972602735
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09315068493150684
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.018835616438356163
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.02245053272450533
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.02397260273972603
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.025875190258751908
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.17595381476268288
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7579120460969775
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.02111814463536371
name: Cosine Map@100
verified: no
Likes: 0 | All-time downloads: 284
Created: 2024-09-30 18:10:06