Model: youssefkhalil320/all-MiniLM-L6-v2-triplet-loss
Author: youssefkhalil320
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:1087179, loss:TripletLoss, en, arxiv:1908.10084, arxiv:1703.07737, base_model:sentence-transformers/all-MiniLM-L6-v2, base_model:finetune:sentence-transformers/all-MiniLM-L6-v2, license:apache-2.0, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: sentence-transformers/all-MiniLM-L6-v2
Card metadata: base_model: sentence-transformers/all-MiniLM-L6-v2
language: en
library_name: sentence-transformers
license: apache-2.0
metrics: cosine_accuracy, dot_accuracy, manhattan_accuracy, euclidean_accuracy, max_accuracy
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:1087179, loss:TripletLoss
widget: source_sentence: hyperactive impulsive adhd
sentences: Claw Clip, egyptian postage, mug, source_sentence: Work of Madness Hoodie
sentences: t-shirt, towel, men hoodie, source_sentence: E7Lam Hoodie
sentences: Al Mady Hoodie, waterfall cup, hoodie, source_sentence: Tote bag
sentences: Waterfall Mug, hoodie, linen tote bag, source_sentence: Kimono
sentences: mug, fringe kaftan, shoes
model-index: name: all-MiniLM-L6-v2-triplet-loss
results: task: type: triplet
name: Triplet
dataset: name: all nli dev
type: all-nli-dev
metrics: type: cosine_accuracy
value: 0.9168454165823506
name: Cosine Accuracy
verified: no, type: dot_accuracy
value: 0.08315458341764934
name: Dot Accuracy
verified: no, type: manhattan_accuracy
value: 0.9135451351202193
name: Manhattan Accuracy
verified: no, type: euclidean_accuracy
value: 0.9168454165823506
name: Euclidean Accuracy
verified: no, type: max_accuracy
value: 0.9168454165823506
name: Max Accuracy
verified: no
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Created: 2024-10-18 09:20:06