Model: srikarvar/fine_tuned_model_2
Author: srikarvar
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:1030, loss:ContrastiveLoss, 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:1030, loss:ContrastiveLoss
widget: source_sentence: First climber to reach the summit of Everest
sentences: How to create a podcast?, How to cook sushi rice?, Who was the first person to climb Mount Everest?, source_sentence: What methods are used to measure a nation's GDP?
sentences: How is the GDP of a country measured?, How do I sign out of my email account?, How does digital marketing differ from traditional marketing?, source_sentence: Steps to sign up for a new account
sentences: How to grow tomatoes in a garden?, What is the process for creating a new account?, What is the GDP of India?, source_sentence: Name of the tallest building in New York
sentences: What are the symptoms of anxiety?, What is the tallest building in New York?, Who was the first female Prime Minister of the UK?, source_sentence: How do you make a paper boat?
sentences: What are the benefits of using solar energy?, Where can I buy a new phone?, How do you make a paper airplane?
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: 0.9478260869565217
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.6633322238922119
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.9558823529411764
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.6633322238922119
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.9154929577464789
name: Cosine Precision
verified: no, type: cosine_recall
value: 1
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9777355464218691
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.9478260869565217
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.6633322238922119
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.9558823529411764
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.6633322238922119
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.9154929577464789
name: Dot Precision
verified: no, type: dot_recall
value: 1
name: Dot Recall
verified: no, type: dot_ap
value: 0.9777355464218691
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.9391304347826087
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 9.603110313415527
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.9489051094890512
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 12.660685539245605
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.9027777777777778
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 1
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.975614621691024
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.9478260869565217
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.8205450773239136
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.9558823529411764
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.8205450773239136
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.9154929577464789
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 1
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.9777355464218691
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.9478260869565217
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 9.603110313415527
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.9558823529411764
name: Max F1
verified: no, type: max_f1_threshold
value: 12.660685539245605
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.9154929577464789
name: Max Precision
verified: no, type: max_recall
value: 1
name: Max Recall
verified: no, type: max_ap
value: 0.9777355464218691
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: 0.9478260869565217
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.7873066663742065
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.9558823529411764
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.6542514562606812
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.9154929577464789
name: Cosine Precision
verified: no, type: cosine_recall
value: 1
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9776721343444097
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.9478260869565217
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.7873067259788513
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.9558823529411764
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.6542515158653259
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.9154929577464789
name: Dot Precision
verified: no, type: dot_recall
value: 1
name: Dot Recall
verified: no, type: dot_ap
value: 0.9776721343444097
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.9478260869565217
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 11.123205184936523
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.9558823529411764
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 12.862250328063965
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.9154929577464789
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 1
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.9774497925836063
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.9478260869565217
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.652188777923584
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.9558823529411764
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.8315430879592896
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.9154929577464789
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 1
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.9776721343444097
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.9478260869565217
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 11.123205184936523
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.9558823529411764
name: Max F1
verified: no, type: max_f1_threshold
value: 12.862250328063965
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.9154929577464789
name: Max Precision
verified: no, type: max_recall
value: 1
name: Max Recall
verified: no, type: max_ap
value: 0.9776721343444097
name: Max Ap
verified: no
Likes: 0 | All-time downloads: 8
Created: 2024-08-26 22:20:49