Model: candidatePI/candidate-ft-model
Author: candidatePI
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, mpnet, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:3072, loss:CosineSimilarityLoss, arxiv:1908.10084, 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:3072, loss:CosineSimilarityLoss
base_model: sentence-transformers/all-mpnet-base-v2
widget: source_sentence: Frontend performance optimization including lazy loading, code splitting, caching
sentences: Optimized React applications with code splitting reducing initial load by 60%, Implemented mutation testing successfully, Designed event-driven architecture using RabbitMQ with dead letter queues, source_sentence: Git version control proficiency with branching strategies and pull request workflows
sentences: Daily Git user, implemented GitFlow branching model, reviewed hundreds of pull requests, PWA manifest configuration expertise, Used ExecutorService and CompletableFuture effectively, source_sentence: Self-motivation to stay current with industry trends and emerging technologies
sentences: Java developer using CompletableFuture and streams for concurrent programming, Pinecone, Weaviate vector databases, Completed 5 online certifications last year and contributed to open-source projects, source_sentence: Conflict resolution skills in technical discussions and architecture decisions
sentences: Comprehensive API testing with Postman/Newman, Facilitates productive technical debates leading to consensus on design choices, Monitored service health with alerts, source_sentence: Origin Rules, backend config
sentences: Origin server configuration patterns, Functional programmer using F# for financial domain modeling, Content writer with blog experience
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: pearson_cosine, spearman_cosine
model-index: name: SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: val
type: val
metrics: type: pearson_cosine
value: 0.8944877836968456
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.8039152046120273
name: Spearman Cosine
verified: no
Likes: 0 | All-time downloads: 16174
Created: 2025-05-27 18:23:13