Model: magnifi/bge-small-en-v1-5-ft-orc_fold4
Author: magnifi
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:1541, 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:1541, loss:MultipleNegativesRankingLoss
base_model: BAAI/bge-small-en-v1.5
widget: source_sentence: Show me all my portfolios
sentences: get_portfolio(None,True,None): portfolio, factor_contribution('portfolio','<DATES>','region','<A_REGION>','portfolio'): portfolio, get_portfolio(None,True,None): portfolio, stress_test('portfolio','<AN_ASSET_TYPE>',None,'up'): stress_test, all_portfolios, source_sentence: which of my ETFs didn't do well [DATES]
sentences: newsletter_search(None,['<TICKER>'],'query',None,False): newsletter_chunks, get_portfolio(['weight'],False,None): portfolio, get_attribute('portfolio',['<TICKER>'],None): portfolio, calculate('portfolio',['weight', '<TICKER>'],'multiply','expo_percentage_<TICKER>'): portfolio, sort('portfolio','expo_percentage_<TICKER>','desc'): portfolio, aggregate('portfolio','ticker','expo_percentage_<TICKER>','sum',None): total_expo_percentage_<TICKER>, analyze_impact('portfolio','<TICKER>','buy'): <TICKER>_buy_impact, news_data, get_portfolio(['type'],True,None): portfolio, filter('portfolio','type','==','ETF'): portfolio, get_attribute('portfolio',['losses'],'<DATES>'): portfolio, filter('portfolio','losses','<','0'): portfolio, sort('portfolio','losses','asc'): portfolio, source_sentence: what sectors am i in
sentences: <TICKER>_data, get_portfolio(None,True,None): portfolio, factor_contribution('portfolio','<DATES>','sector',None,'portfolio'): portfolio, get_portfolio(['quantity', 'averageCost'],True,None): portfolio, filter('portfolio','ticker','==','<TICKER>'): portfolio, calculate('portfolio',['quantity', 'averageCost'],'multiply','cost_basis'): portfolio, get_attribute(['<TICKER>'],['price'],'this day'): returns_<TICKER>, source_sentence: How will the declining emerging markets index affect my portfolio?
sentences: get_portfolio(None,True,None): portfolio, get_attribute('portfolio',['gains', 'dividend yield'],'<DATES>'): portfolio, filter('portfolio','dividend yield','>','0'): portfolio, sort('portfolio','gains','desc'): portfolio, get_portfolio(None,True,None): portfolio, factor_contribution('portfolio','<DATES>','factor','momentum','returns'): portfolio, get_portfolio(None,True,None): portfolio, stress_test('portfolio','iemg',None,'down'): stress_test, source_sentence: do I have direct holding of [TICKER]?
sentences: newsletter_search(None,['<TICKER>'],'query',None,False): newsletter_chunks, get_portfolio(['weight'],False,None): portfolio, get_attribute('portfolio',['<TICKER>'],None): portfolio, calculate('portfolio',['weight', '<TICKER>'],'multiply','expo_percentage_<TICKER>'): portfolio, sort('portfolio','expo_percentage_<TICKER>','desc'): portfolio, aggregate('portfolio','ticker','expo_percentage_<TICKER>','sum',None): total_expo_percentage_<TICKER>, analyze_impact('portfolio','<TICKER>','buy'): <TICKER>_buy_impact, get_portfolio(['marketValue'],True,None): portfolio, get_attribute('portfolio',['<TICKER>'],'<DATES>'): portfolio, calculate('portfolio',['marketValue', '<TICKER>'],'multiply','expo_<TICKER>'): portfolio, sort('portfolio','expo_<TICKER>','desc'): portfolio, aggregate('portfolio','ticker','expo_<TICKER>','sum',None): port_expo_<TICKER>, get_portfolio(None,True,None): portfolio, factor_contribution('portfolio','<DATES>','factor','volatility','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: 0.8205128205128205
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.9529914529914529
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.9786324786324786
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 1
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.8205128205128205
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.3176638176638176
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.19572649572649575
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.1
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.022792022792022797
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.026471984805318146
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.027184235517568857
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.027777777777777787
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.20197071402422898
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.890508411341745
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.024736344759492913
name: Cosine Map@100
verified: no
Likes: 0 | All-time downloads: 7
Created: 2025-05-14 14:29:54