Model: LucaZilli/model-snowflake-s_20250226_145351_finalmodel
Author: LucaZilli
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:25310, loss:CosineSimilarityLoss, arxiv:1908.10084, base_model:Snowflake/snowflake-arctic-embed-s, base_model:finetune:Snowflake/snowflake-arctic-embed-s, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: Snowflake/snowflake-arctic-embed-s
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:25310, loss:CosineSimilarityLoss
base_model: Snowflake/snowflake-arctic-embed-s
widget: source_sentence: encryption algorithms for mobile transactions
sentences: equipaggiamento per sport acquatici, finanziamenti a lungo termine per privati, encryption algorithms for mobile banking, source_sentence: tecnologie di liofilizzazione per frutta e verdura
sentences: serbatoi di fermentazione in acciaio inox per cantine, impianti di liofilizzazione per frutta e verdura, medical cannulas, source_sentence: servizi di installazione di cavi sottomarini
sentences: servizi di installazione di cavi sottomarini, custom spinal fusion implants, soluzioni disinfettanti per il settore sanitario, source_sentence: antifouling paint for yachts
sentences: sistemi di ventilazione con controllo umidità integrato, robot per la movimentazione interna, vernici per automobili, source_sentence: materiali isolanti per sistemi radianti a soffitto
sentences: Produzione di contenuti per social media nel settore moda., privacy and data protection training, materiali isolanti per edifici
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: pearson_cosine, spearman_cosine, cosine_accuracy
model-index: name: SentenceTransformer based on Snowflake/snowflake-arctic-embed-s
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: custom dataset
type: custom_dataset
metrics: type: pearson_cosine
value: 0.7037099269944034
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7286991662955787
name: Spearman Cosine
verified: no, task: type: triplet
name: Triplet
dataset: name: all nli dataset
type: all_nli_dataset
metrics: type: cosine_accuracy
value: 0.8162614107131958
name: Cosine Accuracy
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: stsbenchmark
type: stsbenchmark
metrics: type: pearson_cosine
value: 0.7477235986007352
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7431995961099886
name: Spearman Cosine
verified: no
Likes: 0 | All-time downloads: 70
Created: 2025-02-26 15:15:05