Model: magnifi/bge-small-en-v1.5-ft-orc-test
Author: magnifi
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:978, 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: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:978, loss:MultipleNegativesRankingLoss
base_model: BAAI/bge-small-en-v1.5
widget: source_sentence: what are my technology stocks?
sentences: news, get_portfolio(None,True,None): portfolio, filter('portfolio','ticker','==','<TICKER1>'): portfolio, get_attribute('portfolio',['gains'],'<DATES>'): portfolio, get_portfolio(None,True,None): portfolio, factor_contribution('portfolio','<DATES>','sector','sector information technology','portfolio'): portfolio, source_sentence: what are my portfolios holdings
sentences: get_portfolio(['marketValue'],True,None): portfolio, aggregate('portfolio','ticker','marketValue','sum',None): total_value, get_portfolio(['marketValue'],True,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>, newsletter_search(None,['<TICKER1>'],None,None,False): newsletter_chunks, get_portfolio(None,False,None): portfolio, analyze_impact('portfolio','<TICKER1>','buy'): <TICKER1>_buy_impact, source_sentence: How are communication services doing?
sentences: get_portfolio(None,True,None): portfolio, get_attribute('portfolio',['gains'],'<DATES>'): portfolio, filter('portfolio','gains','>','0'): portfolio, sort('portfolio','gains','desc'): portfolio, get_portfolio(['averageCost'],True,<PORTFOLIO_NAME_1>): portfolio, filter('portfolio','ticker','==','<TICKER1>'): portfolio, get_attribute('portfolio',['price'],None): portfolio, XLC_returns, source_sentence: where are my gains [DATES]?
sentences: get_portfolio(None,True,None): portfolio, get_attribute('portfolio',['gains'],'<DATES>'): portfolio, filter('portfolio','gains','>','0'): portfolio, sort('portfolio','gains','desc'): portfolio, get_portfolio(None,True,None): portfolio, factor_contribution('portfolio','<DATES>','asset_class','global bonds','portfolio'): portfolio, get_portfolio(['brokerName', 'weight'],True,None): portfolio, filter('portfolio','brokerName','==','E*Trade'): portfolio, get_attribute('portfolio',['volatility'],'<DATES>'): portfolio, calculate('portfolio',['volatility', 'weight'],'multiply','average_volatility'): portfolio, aggregate('portfolio','ticker','average_volatility','sum',None): volatility_etrade, source_sentence: how has my portfolio performed since inception
sentences: get_portfolio(None,True,None): portfolio, factor_contribution('portfolio','<DATES>','factor','momentum','portfolio'): portfolio, get_portfolio(['quantity', 'averageCost', 'marketValue'],True,None): portfolio, calculate('portfolio',['quantity', 'averageCost'],'multiply','cost_basis'): portfolio, calculate('portfolio',['marketValue', 'cost_basis'],'difference','profit'): profit_port, aggregate('portfolio','ticker','profit','sum',None): profit_port, get_portfolio(None,True,None): portfolio, factor_contribution('portfolio','<DATES>','sector','sector information technology','portfolio'): portfolio
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: 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: 0.6655518394648829
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.9163879598662207
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.9565217391304348
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.979933110367893
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6655518394648829
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.3054626532887402
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.1913043478260869
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.0979933110367893
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.018487551096246748
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.025455221107395024
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.026570048309178747
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.027220364176885916
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.18385440999941
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.787127727345119
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.021899072126633265
name: Cosine Map@100
verified: no
Likes: 0 | All-time downloads: 46
Created: 2025-03-24 20:23:42