Model: magnifi/bge-small-en-v1-5-ft-orc_fold1
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: proportion of portfolio that are [AN_ASSET_TYPE]
sentences: get_portfolio(None,True,None): portfolio, get_attribute('portfolio',['losses'],'<DATES>'): portfolio, filter('portfolio','losses','<','0'): portfolio, sort('portfolio','losses','asc'): portfolio, get_portfolio(None,True,None): portfolio, stress_test('portfolio','cac_40',None,'down'): stress_test, get_portfolio(None,True,None): portfolio, factor_contribution('portfolio','<DATES>','asset_class','<AN_ASSET_TYPE>','portfolio'): portfolio, source_sentence: What is the current total return percentage in my portfolio [DATES]
sentences: newsletter_obj, comparison_data, 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, source_sentence: Give me a list of the funds that have the lowest [ATTRIBUTE] in my account.
sentences: get_portfolio(['weight'],True,None): 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,True,None): portfolio, get_attribute('portfolio',['<ATTRIBUTE>'],'<DATES>'): portfolio, sort('portfolio','<ATTRIBUTE>','asc'): portfolio, get_portfolio(['type', 'marketValue'],True,None): portfolio, filter('portfolio','type','==','funds'): portfolio, aggregate('portfolio','ticker','marketValue','sum',None): total_value_funds, source_sentence: How will rising silver prices affect my portfolio?
sentences: news_data, get_portfolio(['type', 'marketValue'],True,None): portfolio, filter('portfolio','type','==','MF'): portfolio, aggregate('portfolio','ticker','marketValue','sum',None): total_value_funds, get_portfolio(None,True,None): portfolio, stress_test('portfolio','silver',None,'up'): stress_test, source_sentence: What's the contribution of [TICKER] to my gains?
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>','security','<TICKER>','returns')}: portfolio, get_attribute(['<TICKER>'],['returns'],'<DATES>'): returns_<TICKER>, get_portfolio(None,True,None): portfolio, factor_contribution('portfolio','<DATES>','security','<TICKER>','returns')}: portfolio, get_attribute(['<TICKER>'],['returns'],'<DATES>'): returns_<TICKER>
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: 0.7606837606837606
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.9871794871794872
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.9957264957264957
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 1
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7606837606837606
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.32905982905982906
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.1991452991452992
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.1
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.021130104463437802
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.027421652421652426
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.027659069325735995
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.027777777777777787
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.19862133123665318
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.8687321937321938
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.024131449825894276
name: Cosine Map@100
verified: no
Likes: 0 | All-time downloads: 7
Created: 2025-05-14 13:42:23