Model: magnifi/bge-small-en-v1-5-ft-test-run
Author: magnifi
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:1327, 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:1327, loss:MultipleNegativesRankingLoss
base_model: BAAI/bge-small-en-v1.5
widget: source_sentence: News on [A_SECTOR] sector
sentences: news_data, get_portfolio(None,True,None): portfolio, filter('portfolio','ticker','==','<TICKER>'): portfolio, get_attribute('portfolio',['losses'],'<DATES>'): portfolio, get_attribute(['<TICKER>'],['returns'],'<DATES>'): returns_<TICKER>, get_portfolio(None,True,None): portfolio, factor_contribution('portfolio','<DATES>','factor','volatility','returns'): portfolio, source_sentence: what are the stocks trading below their cost basis?
sentences: get_portfolio(None,True,None): portfolio, stress_test('portfolio','treasury_fed_rate',None,'up'): stress_test, get_portfolio(None, True, None): portfolio, get_attribute('portfolio',['gains'],'<DATES>'): portfolio, sort('portfolio','gains','desc'): portfolio, get_portfolio(['averageCost'],True,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','asc'): portfolio, source_sentence: Which are my best 10 holdings in my portfolio?
sentences: get_portfolio(None,True,None): portfolio, factor_contribution('portfolio','<DATES>','region','<A_REGION>','portfolio'): portfolio, 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, get_attribute('portfolio',['gains'],'<DATES>'): portfolio, filter('portfolio','gains','>','0'): portfolio, sort('portfolio','gains','desc'): portfolio, source_sentence: How will the US dollar vs the Euro affect my portfolio?
sentences: get_portfolio(None, True, None): portfolio, get_attribute('portfolio',['gains'],'<DATES>'): portfolio, sort('portfolio','gains','desc'): portfolio, get_portfolio(None,True,None): portfolio, stress_test('portfolio','cac_40',None,'up'): stress_test, get_portfolio(None,True,None): portfolio, stress_test('portfolio','usd_eur',None,None): stress_test, source_sentence: Market news from [DATES]
sentences: <TICKER>_dividend_history, get_portfolio(None,True,None): portfolio, get_attribute('portfolio',['losses'],'<DATES>'): portfolio, filter('portfolio','losses','<','0'): portfolio, sort('portfolio','losses','asc'): portfolio, get_news_articles(None,None,None,'<DATES>'): news_data, get_attribute(['SPY'],['returns'],'<DATES>'): SPY_returns, get_attribute(['DIA'],['returns'],'<DATES>'): DIA_returns, get_attribute(['QQQ'],['returns'],'<DATES>'): QQQ_returns
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: 0.7276785714285714
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.9330357142857143
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.9642857142857143
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9910714285714286
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7276785714285714
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.3110119047619047
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.19285714285714287
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09910714285714287
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.020213293650793655
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.02591765873015874
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.026785714285714295
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.02752976190476191
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.19145920113670534
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.8297291312358276
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.0230599758688771
name: Cosine Map@100
verified: no
Likes: 0 | All-time downloads: 34
Created: 2025-05-14 13:03:00