Model: srikarvar/fine_tuned_model_14
Author: srikarvar
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:2836, 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:2836, loss:OnlineContrastiveLoss
widget: source_sentence: No, it doesn't exist in version 5.3.1.
sentences: The `from_dictionary` function requires the following:
- `data` (Union[dict, Mapping]): A collection of keys linked to values or Python objects.
- `schema` (Schema, optional): If not given, it will be determined from the Mapping values.
- `metadata` (Union[dict, Mapping], optional): Optional metadata for the schema (if inferred)., Stages of photosynthesis, Version 5.3.1 does not contain it., source_sentence: How to make homemade ice cream?
sentences: Recipe for making ice cream at home, How will abolishing Rs. 500 and Rs. 1000 notes affect the real estate businesses in India?, How many people live in Japan?, source_sentence: Best books on World War II
sentences: How do I go about getting a visa?, What steps are involved in performing market analysis?, Top literature about World War II, source_sentence: What is the benefit of going Walking every morning?
sentences: What are the top workouts for losing weight?, How large is Japan?, Bollywood industry doesn't encourage outsiders? For ex outsiders may get one or at max two chances whereas star kids get multiple chances to perform?, source_sentence: The purpose of the training guide is to provide tutorials, how-to guides, and conceptual guides for working with AI models.
sentences: Steps to roast a turkey, The goal of the training guide is to offer tutorials, how-to instructions, and conceptual guidance for utilizing AI models., Who was the first person to fly across the Atlantic?
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: 0.8639240506329114
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.8522839546203613
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.8853333333333334
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.8417313098907471
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.9021739130434783
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.8691099476439791
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9514746651949948
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.8639240506329114
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.8522839546203613
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.8853333333333334
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.8417313098907471
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.9021739130434783
name: Dot Precision
verified: no, type: dot_recall
value: 0.8691099476439791
name: Dot Recall
verified: no, type: dot_ap
value: 0.9514746651949948
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.8670886075949367
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 8.227925300598145
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.8877005347593583
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 8.646421432495117
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.907103825136612
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.8691099476439791
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.9520439027006086
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.8639240506329114
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.5435356497764587
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.8853333333333334
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.5626147985458374
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.9021739130434783
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.8691099476439791
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.9514724841898053
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.8670886075949367
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 8.227925300598145
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.8877005347593583
name: Max F1
verified: no, type: max_f1_threshold
value: 8.646421432495117
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.907103825136612
name: Max Precision
verified: no, type: max_recall
value: 0.8691099476439791
name: Max Recall
verified: no, type: max_ap
value: 0.9520439027006086
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: 0.870253164556962
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.8251076936721802
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.8935064935064936
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.8084052801132202
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.8865979381443299
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.900523560209424
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9546600352559002
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.870253164556962
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.8251076936721802
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.8935064935064936
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.808405339717865
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.8865979381443299
name: Dot Precision
verified: no, type: dot_recall
value: 0.900523560209424
name: Dot Recall
verified: no, type: dot_ap
value: 0.9546600352559002
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.870253164556962
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 9.181171417236328
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.8912466843501327
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 9.181171417236328
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.9032258064516129
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.8795811518324608
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.9546014712222561
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.870253164556962
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.591425895690918
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.8935064935064936
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.6190224885940552
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.8865979381443299
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.900523560209424
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.9546600352559002
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.870253164556962
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 9.181171417236328
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.8935064935064936
name: Max F1
verified: no, type: max_f1_threshold
value: 9.181171417236328
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.9032258064516129
name: Max Precision
verified: no, type: max_recall
value: 0.900523560209424
name: Max Recall
verified: no, type: max_ap
value: 0.9546600352559002
name: Max Ap
verified: no
Likes: 0 | All-time downloads: 405
Created: 2024-09-16 08:37:09