Model: srikarvar/fine_tuned_model_17
Author: srikarvar
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:2752, 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:2752, loss:OnlineContrastiveLoss
widget: source_sentence: Would you want to be President?
sentences: Can you help me with my homework?, How to bake cookies?, Why do you want to be to president?, source_sentence: Velocity of sound waves in the atmosphere
sentences: What is the speed of sound in air?, What is the best/most memorable thing you've ever eaten and why?, The `safe` option in the `to_spreadsheet` method controls whether a safe conversion or not is needed for certain plant attributes to store the data in a SpreadsheetTable or Row., source_sentence: Number of countries in the European Union
sentences: How many countries are in the European Union?, Who painted the Sistine Chapel ceiling?, The RecipeManager class is used to manage the downloading and extraction of recipes., source_sentence: Official currency of the USA
sentences: What is purpose of life?, Files inside ZIP archives are accessed and yielded sequentially using iter_zip()., What is the currency of the United States?, source_sentence: Who wrote the book "1984"?
sentences: What is the speed of light?, How to set up a home gym?, Who wrote the book "To Kill a Mockingbird"?
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: 0.9456521739130435
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.8053532838821411
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.9554896142433236
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.8053532838821411
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.92
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9938271604938271
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.970102365862799
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.9456521739130435
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.8053532838821411
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.9554896142433236
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.8053532838821411
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.92
name: Dot Precision
verified: no, type: dot_recall
value: 0.9938271604938271
name: Dot Recall
verified: no, type: dot_ap
value: 0.970102365862799
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.9456521739130435
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 9.787351608276367
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.9554896142433236
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 9.787351608276367
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.92
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9938271604938271
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.9698493258522533
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.9456521739130435
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.6239285469055176
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.9554896142433236
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.6239285469055176
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.92
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9938271604938271
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.970102365862799
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.9456521739130435
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 9.787351608276367
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.9554896142433236
name: Max F1
verified: no, type: max_f1_threshold
value: 9.787351608276367
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.92
name: Max Precision
verified: no, type: max_recall
value: 0.9938271604938271
name: Max Recall
verified: no, type: max_ap
value: 0.970102365862799
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: 0.9456521739130435
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.8053532838821411
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.9554896142433236
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.8053532838821411
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.92
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9938271604938271
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.970102365862799
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.9456521739130435
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.8053532838821411
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.9554896142433236
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.8053532838821411
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.92
name: Dot Precision
verified: no, type: dot_recall
value: 0.9938271604938271
name: Dot Recall
verified: no, type: dot_ap
value: 0.970102365862799
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.9456521739130435
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 9.787351608276367
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.9554896142433236
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 9.787351608276367
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.92
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9938271604938271
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.9698493258522533
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.9456521739130435
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.6239285469055176
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.9554896142433236
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.6239285469055176
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.92
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9938271604938271
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.970102365862799
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.9456521739130435
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 9.787351608276367
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.9554896142433236
name: Max F1
verified: no, type: max_f1_threshold
value: 9.787351608276367
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.92
name: Max Precision
verified: no, type: max_recall
value: 0.9938271604938271
name: Max Recall
verified: no, type: max_ap
value: 0.970102365862799
name: Max Ap
verified: no
Likes: 0 | All-time downloads: 9
Created: 2024-09-16 14:06:46