Model: srikarvar/e5-small-cogcachedata
Author: srikarvar
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:2000, loss:OnlineContrastiveLoss, en, arxiv:1908.10084, base_model:intfloat/multilingual-e5-small, base_model:finetune:intfloat/multilingual-e5-small, license:apache-2.0, 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
language: en
library_name: sentence-transformers
license: apache-2.0
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:2000, loss:OnlineContrastiveLoss
widget: source_sentence: How do I sign up for a new account?
sentences: How do I book a flight online?, Can I withdraw money from my bank?, What is the process for creating a new account?, source_sentence: How can I enhance my English skills?
sentences: What are the ingredients of a pizza?, How can I improve my English?, What are the ingredients of a pizza?, source_sentence: Where can I buy a new bicycle?
sentences: What is the importance of a balanced diet?, How do I update my address?, Where can I buy a new laptop?, source_sentence: What steps do I need to follow to log into the company's internal network?
sentences: Who wrote the book "To Kill a Mockingbird"?, How do I reset my password?, How do I access the company's intranet?, source_sentence: How can I improve my Spanish?
sentences: How can I lose weight?, How can I improve my English?, What is the most effective way to lose weight?
model-index: name: e5 cogcache small
results: task: type: binary-classification
name: Binary Classification
dataset: name: base
type: base
metrics: type: cosine_accuracy
value: 0.8923076923076924
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.8427294492721558
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.9166666666666666
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.8427294492721558
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.9166666666666666
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9166666666666666
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9540451716910969
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.8923076923076924
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.842729389667511
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.9166666666666666
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.842729389667511
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.9166666666666666
name: Dot Precision
verified: no, type: dot_recall
value: 0.9166666666666666
name: Dot Recall
verified: no, type: dot_ap
value: 0.9540451716910969
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.8846153846153846
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 10.00046157836914
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.9142857142857143
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 10.00046157836914
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.8791208791208791
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9523809523809523
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.9533842444122883
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.8923076923076924
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.5608394742012024
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.9166666666666666
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.5608394742012024
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.9166666666666666
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9166666666666666
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.9540451716910969
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.8923076923076924
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 10.00046157836914
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.9166666666666666
name: Max F1
verified: no, type: max_f1_threshold
value: 10.00046157836914
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.9166666666666666
name: Max Precision
verified: no, type: max_recall
value: 0.9523809523809523
name: Max Recall
verified: no, type: max_ap
value: 0.9540451716910969
name: Max Ap
verified: no, task: type: binary-classification
name: Binary Classification
dataset: name: tuned
type: tuned
metrics: type: cosine_accuracy
value: 0.8923076923076924
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.8427294492721558
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.9166666666666666
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.8427294492721558
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.9166666666666666
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9166666666666666
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9540451716910969
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.8923076923076924
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.842729389667511
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.9166666666666666
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.842729389667511
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.9166666666666666
name: Dot Precision
verified: no, type: dot_recall
value: 0.9166666666666666
name: Dot Recall
verified: no, type: dot_ap
value: 0.9540451716910969
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.8846153846153846
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 10.00046157836914
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.9142857142857143
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 10.00046157836914
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.8791208791208791
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9523809523809523
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.9533842444122883
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.8923076923076924
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.5608394742012024
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.9166666666666666
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.5608394742012024
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.9166666666666666
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9166666666666666
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.9540451716910969
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.8923076923076924
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 10.00046157836914
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.9166666666666666
name: Max F1
verified: no, type: max_f1_threshold
value: 10.00046157836914
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.9166666666666666
name: Max Precision
verified: no, type: max_recall
value: 0.9523809523809523
name: Max Recall
verified: no, type: max_ap
value: 0.9540451716910969
name: Max Ap
verified: no
Likes: 0 | All-time downloads: 10
Created: 2024-08-14 09:33:24