Model: srikarvar/fine_tuned_model_15
Author: srikarvar
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:2476, 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:2476, loss:OnlineContrastiveLoss
widget: source_sentence: Why do you want to be to president?
sentences: Can you teach me how to cook?, Recipe for baking cookies, Would you want to be President?, source_sentence: What is the speed of sound in air?
sentences: Velocity of sound waves in the atmosphere, What is the most delicious dish you've ever eaten and why?, The `safe` parameter in the `to_spreadsheet` method determines if a secure conversion is necessary for certain plant attributes to be stored in a SpreadsheetTable or Row., source_sentence: How many countries are in the European Union?
sentences: Number of countries in the European Union, Artist who painted the Sistine Chapel, The RecipeManager class is employed to oversee the downloading and unpacking of recipes., source_sentence: What is the currency of the United States?
sentences: What's the purpose of life? What is life actually about?, Iter_zip() is employed to sequentially access and yield files inside ZIP archives., Official currency of the USA, source_sentence: Who wrote the book "To Kill a Mockingbird"?
sentences: At what speed does light travel?, How to set up a yoga studio?, Who wrote the book "1984"?
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: 0.8768115942028986
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.8267427086830139
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.8969696969696969
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.8267427086830139
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.8809523809523809
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9135802469135802
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9300650297384708
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.8768115942028986
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.8267427682876587
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.8969696969696969
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.8267427682876587
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.8809523809523809
name: Dot Precision
verified: no, type: dot_recall
value: 0.9135802469135802
name: Dot Recall
verified: no, type: dot_ap
value: 0.9300650297384708
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.8731884057971014
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 8.953017234802246
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.8929663608562691
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 9.028047561645508
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.8848484848484849
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9012345679012346
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.9284992066218356
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.8768115942028986
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.5886479616165161
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.8969696969696969
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.5886479616165161
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.8809523809523809
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9135802469135802
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.9300650297384708
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.8768115942028986
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 8.953017234802246
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.8969696969696969
name: Max F1
verified: no, type: max_f1_threshold
value: 9.028047561645508
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.8848484848484849
name: Max Precision
verified: no, type: max_recall
value: 0.9135802469135802
name: Max Recall
verified: no, type: max_ap
value: 0.9300650297384708
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: 0.8768115942028986
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.8267427086830139
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.8969696969696969
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.8267427086830139
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.8809523809523809
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9135802469135802
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9300650297384708
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.8768115942028986
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.8267427682876587
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.8969696969696969
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.8267427682876587
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.8809523809523809
name: Dot Precision
verified: no, type: dot_recall
value: 0.9135802469135802
name: Dot Recall
verified: no, type: dot_ap
value: 0.9300650297384708
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.8731884057971014
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 8.953017234802246
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.8929663608562691
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 9.028047561645508
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.8848484848484849
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9012345679012346
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.9284992066218356
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.8768115942028986
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.5886479616165161
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.8969696969696969
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.5886479616165161
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.8809523809523809
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9135802469135802
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.9300650297384708
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.8768115942028986
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 8.953017234802246
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.8969696969696969
name: Max F1
verified: no, type: max_f1_threshold
value: 9.028047561645508
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.8848484848484849
name: Max Precision
verified: no, type: max_recall
value: 0.9135802469135802
name: Max Recall
verified: no, type: max_ap
value: 0.9300650297384708
name: Max Ap
verified: no
Likes: 0 | All-time downloads: 12
Created: 2024-09-16 12:00:40