Model: whitemouse84/rubert-tiny2-distilled-from-LaBSE-en-ru
Author: whitemouse84
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:10000000, loss:MSELoss, arxiv:1908.10084, arxiv:2004.09813, base_model:cointegrated/rubert-tiny2, base_model:finetune:cointegrated/rubert-tiny2, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: cointegrated/rubert-tiny2
Card metadata: base_model: cointegrated/rubert-tiny2
library_name: sentence-transformers
metrics: pearson_cosine, spearman_cosine, pearson_manhattan, spearman_manhattan, pearson_euclidean, spearman_euclidean, pearson_dot, spearman_dot, pearson_max, spearman_max, negative_mse
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:10000000, loss:MSELoss
widget: source_sentence: The doc  3 milligrams a night is waaaaay too much.
sentences: As a simple example, suppose the cost of worksharing is 10a and the cost of basic mail is 16a., i have a younger daughter now and uh i it's kind of hard to get her  get her there and everything but i am going to to uh, And so you know, eventually, you know, you know, they kept asking people around, and nobody knew where they were, and eventually, you know, they just reconciled themselves that they just wouldn't see Joe again., source_sentence: KSM, которому в январе 1996 г. было предъявлено обвинение за соучастие в теракте на воздушном судне в Маниле, в основном рассматривался как террорист-наемник, связанный с Рамзи Юсефом.
sentences: Реформы, одобренные на данный момент, имеют огромное значение на то, что делает правительство, как организована его работа, и как оно предоставляет свои услуги стране и ее гржданам., Спорт - не единственное, на что здесь можно ставить., This is the ultimate Republican fallback., source_sentence: This was the island bought by Errol Flynn when he settled in Port Antonio in 1946
sentences: Официально он назывался амфитеатр Флавиев по родовому имени строителя - императора Веспасиана., От Готического портика в центре города, рядом с массивной колокольней 13-го века, лестница из 90 ступеней ведёт вас к бронзовым дверям святилища 11-го века., Он бы тогда родился., source_sentence: Lamar Alexander's way out is worth noting, though it doesn't rise to the level of illogic.
sentences: Агентства должны уметь измерить успех., This wasn't the temper of the times., Трудности анатомического строения слонов осложняют процедуру, которая так легко дается в уходе за другими домашними животными., source_sentence: Nobody knew where they went.
sentences: The chaotic regime contrasts starkly with the ordered regime., это...ну, около двадцати минут, This applies to both C-R relationships defined by a single C-R function and those defined by a pooling of multiple C-R functions.
model-index: name: SentenceTransformer based on cointegrated/rubert-tiny2
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts dev
type: sts-dev
metrics: type: pearson_cosine
value: 0.5368480358865831
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.642927887885022
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.5620955389095204
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6441046436249961
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.5624619121879763
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.642927887885022
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.5368480254096873
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.6429276655898257
name: Spearman Dot
verified: no, type: pearson_max
value: 0.5624619121879763
name: Pearson Max
verified: no, type: spearman_max
value: 0.6441046436249961
name: Spearman Max
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: Unknown
type: unknown
metrics: type: negative_mse
value: -0.04153784830123186
name: Negative Mse
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test
type: sts-test
metrics: type: pearson_cosine
value: 0.5073621792333858
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.5974393502487366
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.5640847622931056
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6142719819240927
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.5513969760628644
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.5974401737538448
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.5073621549611861
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.5974397870471275
name: Spearman Dot
verified: no, type: pearson_max
value: 0.5640847622931056
name: Pearson Max
verified: no, type: spearman_max
value: 0.6142719819240927
name: Spearman Max
verified: no
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Created: 2024-08-17 08:22:40