Model: Bharatdeep-H/pq_cache
Author: Bharatdeep-H
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, mpnet, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:3320, loss:MultipleNegativesRankingLoss, loss:CosineSimilarityLoss, arxiv:1908.10084, arxiv:1705.00652, base_model:sentence-transformers/all-mpnet-base-v2, base_model:finetune:sentence-transformers/all-mpnet-base-v2, model-index, endpoints_compatible, region:us
Base models (finetune): id: sentence-transformers/all-mpnet-base-v2
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:3320, loss:MultipleNegativesRankingLoss, loss:CosineSimilarityLoss
base_model: sentence-transformers/all-mpnet-base-v2
widget: source_sentence: How did my portfolio perform during the last 18 days?
sentences: What is the performance of my portfolio over the last 18 days?, Show me the geographic distribution of my investments
, Show me recommendations on improving returns and risk, source_sentence: I'd like to know my sector distribution.
sentences: Show my market cap breakdown, In which funds am I paying highest fees, What is my sector allocation?, source_sentence: Do I have any equity funds in my portfolio?
sentences: Show me my recommendations, Do I hold any equity funds?, Show me some swap recommendations on my portfolio, source_sentence: Is my portfolio ready for changes in the market?
sentences: Is my current portfolio balanced properly for market changes?, Have I got Swap recommendations on risk, is there any room for improvement in my portfolio, source_sentence: Which stocks would be best to trade for funds?
sentences: Is my portfolio beating the market?, Show me ways to reduce my cost, Which of my stocks should I swap for funds?
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 sentence-transformers/all-mpnet-base-v2
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: test eval
type: test-eval
metrics: type: cosine_accuracy@1
value: 0.8975903614457831
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.9969879518072289
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 1
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 1
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.8975903614457831
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.33232931726907633
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.19999999999999998
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09999999999999999
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.8975903614457831
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.9969879518072289
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 1
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 1
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.9600230102760412
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.9460341365461847
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.9460341365461847
name: Cosine Map@100
verified: no
Likes: 0 | All-time downloads: 7
Created: 2025-03-17 17:10:55