Model: srikarvar/fine_tuned_model_11
Author: srikarvar
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:1936, 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:1936, loss:OnlineContrastiveLoss
widget: source_sentence: What are the symptoms of COVID-19?
sentences: How to identify COVID-19?, What is the process for booking a dinner table?, It is not necessary to include specific fields in a financial report; nevertheless, it is beneficial to add pertinent financial metrics to help investors gauge the company's condition., source_sentence: How to apply for a scholarship?
sentences: Steps to apply for a scholarship, Advantages of practicing meditation, When `ignore_metadata` is set to `True`, all metadata and attributes are stripped from the file prior to processing., source_sentence: How to write a novel?
sentences: How to write a short story?, Who wrote 'Macbeth'?, How to reset a phone, source_sentence: You can wrap the project in `job.utils.data.JobLoader` and create a collate function to collate the tasks into batches.
sentences: Steps to prepare a steak, How many people live in Germany?, You can use `job.utils.data.JobLoader` to encapsulate the project and define a collate function to group the tasks into batches., source_sentence: What is the time now?
sentences: How to cook a chicken?, Current time, Guide to starting a small business
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: 0.9212962962962963
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.8385236263275146
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.9403508771929825
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.8385236263275146
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.9370629370629371
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9436619718309859
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9872231100578164
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.9212962962962963
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.8385236263275146
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.9403508771929825
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.8385236263275146
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.9370629370629371
name: Dot Precision
verified: no, type: dot_recall
value: 0.9436619718309859
name: Dot Recall
verified: no, type: dot_ap
value: 0.9872231100578164
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.9166666666666666
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 8.658426284790039
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.9391891891891893
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 9.594137191772461
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.9025974025974026
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9788732394366197
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.987218816132896
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.9212962962962963
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.568278431892395
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.9403508771929825
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.568278431892395
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.9370629370629371
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9436619718309859
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.9872231100578164
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.9212962962962963
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 8.658426284790039
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.9403508771929825
name: Max F1
verified: no, type: max_f1_threshold
value: 9.594137191772461
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.9370629370629371
name: Max Precision
verified: no, type: max_recall
value: 0.9788732394366197
name: Max Recall
verified: no, type: max_ap
value: 0.9872231100578164
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: 0.9305555555555556
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.8569861650466919
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.9484536082474226
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.8531842827796936
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.9261744966442953
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.971830985915493
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9898045699188958
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.9305555555555556
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.8569861650466919
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.9484536082474226
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.8531842231750488
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.9261744966442953
name: Dot Precision
verified: no, type: dot_recall
value: 0.971830985915493
name: Dot Recall
verified: no, type: dot_ap
value: 0.9898045699188958
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.9351851851851852
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 8.299823760986328
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.9517241379310345
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 8.299823760986328
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.9324324324324325
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.971830985915493
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.9895380844501982
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.9305555555555556
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.534814715385437
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.9484536082474226
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.5418605804443359
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.9261744966442953
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.971830985915493
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.9898045699188958
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.9351851851851852
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 8.299823760986328
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.9517241379310345
name: Max F1
verified: no, type: max_f1_threshold
value: 8.299823760986328
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.9324324324324325
name: Max Precision
verified: no, type: max_recall
value: 0.971830985915493
name: Max Recall
verified: no, type: max_ap
value: 0.9898045699188958
name: Max Ap
verified: no
Likes: 0 | All-time downloads: 133
Created: 2024-09-15 20:32:37