Model: srikarvar/multilingual-e5-small-pairclass-2
Author: srikarvar
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:971, loss:OnlineContrastiveLoss, arxiv:1908.10084, base_model:intfloat/multilingual-e5-small, base_model:finetune:intfloat/multilingual-e5-small, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: intfloat/multilingual-e5-small
Card metadata: base_model: intfloat/multilingual-e5-small
library_name: sentence-transformers
metrics: cosine_accuracy, cosine_accuracy_threshold, cosine_f1, cosine_f1_threshold, cosine_precision, cosine_recall, cosine_ap, dot_accuracy, dot_accuracy_threshold, dot_f1, dot_f1_threshold, dot_precision, dot_recall, dot_ap, manhattan_accuracy, manhattan_accuracy_threshold, manhattan_f1, manhattan_f1_threshold, manhattan_precision, manhattan_recall, manhattan_ap, euclidean_accuracy, euclidean_accuracy_threshold, euclidean_f1, euclidean_f1_threshold, euclidean_precision, euclidean_recall, euclidean_ap, max_accuracy, max_accuracy_threshold, max_f1, max_f1_threshold, max_precision, max_recall, max_ap
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:971, loss:OnlineContrastiveLoss
widget: source_sentence: How to bake a pie?
sentences: Steps to bake a pie, What are the ingredients of pizza?, Steps to draft a business plan, source_sentence: What are the benefits of meditation?
sentences: What color do yellow and blue make?, Can you help me understand this recipe?, What are the benefits of yoga?, source_sentence: What is the capital of Canada?
sentences: What time does the concert start?, Current President of the USA, Capital city of Canada, source_sentence: Share info about Shopify
sentences: Who discovered insulin?, Tell me about Shopify, Inventor of the telephone, source_sentence: What is the boiling point of water at sea level?
sentences: What is the melting point of ice at sea level?, Can you recommend a good hotel nearby?, Can you tell me a joke?
model-index: name: SentenceTransformer based on intfloat/multilingual-e5-small
results: task: type: binary-classification
name: Binary Classification
dataset: name: pair class dev
type: pair-class-dev
metrics: type: cosine_accuracy
value: 0.934156378600823
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.7816850543022156
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.927927927927928
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.7816850543022156
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.9035087719298246
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9537037037037037
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9587113018178404
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.934156378600823
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.7816851139068604
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.927927927927928
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.7816851139068604
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.9035087719298246
name: Dot Precision
verified: no, type: dot_recall
value: 0.9537037037037037
name: Dot Recall
verified: no, type: dot_ap
value: 0.9587113018178404
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.9218106995884774
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 10.031501770019531
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.9155555555555556
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 10.459373474121094
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.8803418803418803
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9537037037037037
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.9569878972892534
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.934156378600823
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.6607794761657715
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.927927927927928
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.6607794761657715
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.9035087719298246
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9537037037037037
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.9587113018178404
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.934156378600823
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 10.031501770019531
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.927927927927928
name: Max F1
verified: no, type: max_f1_threshold
value: 10.459373474121094
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.9035087719298246
name: Max Precision
verified: no, type: max_recall
value: 0.9537037037037037
name: Max Recall
verified: no, type: max_ap
value: 0.9587113018178404
name: Max Ap
verified: no, task: type: binary-classification
name: Binary Classification
dataset: name: pair class test
type: pair-class-test
metrics: type: cosine_accuracy
value: 0.934156378600823
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.7816850543022156
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.927927927927928
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.7816850543022156
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.9035087719298246
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9537037037037037
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9587113018178404
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.934156378600823
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.7816851139068604
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.927927927927928
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.7816851139068604
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.9035087719298246
name: Dot Precision
verified: no, type: dot_recall
value: 0.9537037037037037
name: Dot Recall
verified: no, type: dot_ap
value: 0.9587113018178404
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.9218106995884774
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 10.031501770019531
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.9155555555555556
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 10.459373474121094
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.8803418803418803
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9537037037037037
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.9569878972892534
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.934156378600823
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.6607794761657715
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.927927927927928
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.6607794761657715
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.9035087719298246
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9537037037037037
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.9587113018178404
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.934156378600823
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 10.031501770019531
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.927927927927928
name: Max F1
verified: no, type: max_f1_threshold
value: 10.459373474121094
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.9035087719298246
name: Max Precision
verified: no, type: max_recall
value: 0.9537037037037037
name: Max Recall
verified: no, type: max_ap
value: 0.9587113018178404
name: Max Ap
verified: no
Likes: 0 | All-time downloads: 13
Created: 2024-08-20 08:25:12