Model: magnifi/bge-small-en-v1.5-ft-orc-0806
Author: magnifi
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:723, 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, dot_accuracy@1, dot_accuracy@3, dot_accuracy@5, dot_accuracy@10, dot_precision@1, dot_precision@3, dot_precision@5, dot_precision@10, dot_recall@1, dot_recall@3, dot_recall@5, dot_recall@10, dot_ndcg@10, dot_mrr@10, dot_map@100
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:723, loss:MultipleNegativesRankingLoss
widget: source_sentence: how do different regions contribute to my returns
sentences: get_portfolio(None): portfolio, filter('portfolio','ticker','==','<TICKER1>'): portfolio, get_attribute('portfolio',['losses'],'<DATES>'): portfolio, get_portfolio(None): portfolio, factor_contribution('portfolio','<DATES>','region',None,'returns'): portfolio, get_portfolio(None): portfolio, get_attribute('portfolio',['gains'],'<DATES>'): portfolio, sort('portfolio','gains','desc'): portfolio, get_attribute(['<TICKER1>'],['returns'],'<DATES>'): <TICKER1>_performance_data, source_sentence: how have I done in US equity this year?
sentences: get_portfolio(['weight']): portfolio, get_attribute('portfolio',['dividend yield'],'<DATES>'): portfolio, calculate('portfolio',['dividend yield','weight'],'multiply','weighted_yield'): portfolio, aggregate('portfolio','ticker','weighted_yield','sum',None): portfolio_yield, get_portfolio(None): portfolio, get_attribute('portfolio',['dividend yield'],'<DATES>'): portfolio, calculate('portfolio',['dividend yield', 'marketValue'],'multiply','div_income'): portfolio, sort('portfolio','div_income','desc'): portfolio, get_portfolio(None): portfolio, factor_contribution('portfolio','<DATES>','asset_class','us equity','returns'): portfolio, source_sentence: What is the total value of my cash?
sentences: get_portfolio(None): portfolio, factor_contribution('portfolio','<DATES>','sector','sector utilities','portfolio'): portfolio, get_portfolio(['type', 'marketValue']): portfolio, filter('portfolio','type','==','CASH'): portfolio, aggregate('portfolio','ticker','marketValue','sum',None): buying_power, get_portfolio(None): portfolio, factor_contribution('portfolio','<DATES>','sector','sector information technology','returns'): portfolio, source_sentence: What is the exposure of my account to Chinese market?
sentences: get_portfolio(['marketValue']): portfolio, sort('portfolio','marketValue','asc'): portfolio, get_portfolio(None): portfolio, factor_contribution('portfolio','<DATES>','region','china','portfolio'): portfolio, get_portfolio(None): portfolio, factor_contribution('portfolio','<DATES>','volatility',None,'portfolio'): portfolio, source_sentence: Which of my investments are projected to generate the most return?
sentences: get_portfolio(['marketValue']): 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>, get_portfolio(None): portfolio, factor_contribution('portfolio','<DATES>','asset_class','us equity','returns'): portfolio, get_portfolio(None): portfolio, get_expected_attribute('portfolio',['returns']): portfolio, sort('portfolio','returns','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: 0.6643835616438356
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8287671232876712
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.863013698630137
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9178082191780822
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6643835616438356
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.27625570776255703
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.17260273972602735
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.0917808219178082
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.018455098934550992
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.023021308980213092
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.02397260273972603
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.02549467275494673
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.1736543171752474
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7480294629267232
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.020863027954722068
name: Cosine Map@100
verified: no, type: dot_accuracy@1
value: 0.6643835616438356
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.8287671232876712
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.863013698630137
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.9178082191780822
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.6643835616438356
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.27625570776255703
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.17260273972602735
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.0917808219178082
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.018455098934550992
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.023021308980213092
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.02397260273972603
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.02549467275494673
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.1736543171752474
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.7480294629267232
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.020863027954722068
name: Dot Map@100
verified: no
Likes: 0 | All-time downloads: 259
Created: 2024-08-06 19:22:08