Model: LamaDiab/MiniLM-V11Data-128BATCH-SemanticEngine
Author: LamaDiab
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:858018, loss:MultipleNegativesSymmetricRankingLoss, arxiv:1908.10084, base_model:sentence-transformers/all-MiniLM-L6-v2, base_model:finetune:sentence-transformers/all-MiniLM-L6-v2, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: sentence-transformers/all-MiniLM-L6-v2
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:858018, loss:MultipleNegativesSymmetricRankingLoss
base_model: sentence-transformers/all-MiniLM-L6-v2
widget: source_sentence: must kindergarten backpack mermazing 2 cases
sentences: wooden islamic,  must backpack ,  gift paper sheet , source_sentence: beef salami
sentences:  beef , seasoning, juhayna pure pineapple juice, source_sentence: mad dog roman regular
sentences: linen kaftan,  pizza, ciabatta plain, source_sentence: baby swimming sandals - blue
sentences: children book, baby swimming sandals, grey strength long sleeve top interlock, source_sentence: love hate & other filters
sentences: through time into healing, love hate and other filters, ramadan mug
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy
model-index: name: SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2
results: task: type: triplet
name: Triplet
dataset: name: Unknown
type: unknown
metrics: type: cosine_accuracy
value: 0.9867494106292725
name: Cosine Accuracy
verified: no
Likes: 0 | All-time downloads: 60
Created: 2025-11-22 00:34:15