Model: bobox/DeBERTa-ST-AllLayers-testing
Author: bobox
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, pytorch, deberta-v2, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:119566, loss:AdaptiveLayerLoss, loss:CoSENTLoss, loss:GISTEmbedLoss, loss:OnlineContrastiveLoss, loss:MultipleNegativesSymmetricRankingLoss, en, dataset:sentence-transformers/all-nli, dataset:sentence-transformers/stsb, dataset:tals/vitaminc, dataset:nyu-mll/glue, dataset:allenai/scitail, dataset:sentence-transformers/xsum, dataset:sentence-transformers/sentence-compression, dataset:allenai/sciq, dataset:allenai/qasc, dataset:allenai/openbookqa, dataset:sentence-transformers/msmarco-msmarco-distilbert-base-v3, dataset:sentence-transformers/natural-questions, dataset:sentence-transformers/trivia-qa, dataset:sentence-transformers/quora-duplicates, dataset:sentence-transformers/gooaq, arxiv:1908.10084, arxiv:2402.14776, arxiv:2402.16829, base_model:bobox/DeBERTaV3-TR-AllSoft-HT-fixed-n, base_model:finetune:bobox/DeBERTaV3-TR-AllSoft-HT-fixed-n, model-index, endpoints_compatible, region:us
Base models (finetune): id: bobox/DeBERTaV3-TR-AllSoft-HT-fixed-n
Card metadata: language: en
library_name: sentence-transformers
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:119566, loss:AdaptiveLayerLoss, loss:CoSENTLoss, loss:GISTEmbedLoss, loss:OnlineContrastiveLoss, loss:MultipleNegativesSymmetricRankingLoss
base_model: bobox/DeBERTaV3-TR-AllSoft-HT-fixed-n
datasets: sentence-transformers/all-nli, sentence-transformers/stsb, tals/vitaminc, nyu-mll/glue, allenai/scitail, sentence-transformers/xsum, sentence-transformers/sentence-compression, allenai/sciq, allenai/qasc, allenai/openbookqa, sentence-transformers/msmarco-msmarco-distilbert-base-v3, sentence-transformers/natural-questions, sentence-transformers/trivia-qa, sentence-transformers/quora-duplicates, sentence-transformers/gooaq
metrics: pearson_cosine, spearman_cosine, pearson_manhattan, spearman_manhattan, pearson_euclidean, spearman_euclidean, pearson_dot, spearman_dot, pearson_max, spearman_max
widget: source_sentence: This energy of motion is called kinetic energy.
sentences: Living things on the ocean floor are known as benthos., Kinetic energy is the energy of motion., Other than gametes, normal human cells have a total of 46 chromosomes per cell., source_sentence: Two men are cooking food together on the corner of the street.
sentences: A person is riding a vehicle., A group of people in front of a club., The men are making something to eat., source_sentence: A male soccer player has his foot extended as if he has just kicked the soccer ball while the ball flies through the air.
sentences: The man is outside., a football coach walks on the field, A boy is hula hooping while a man is behind him., source_sentence: Two boys sitting and eating ice cream.
sentences: A man works with an anvil., The boys are eating., People are wearing disguises., source_sentence: When did Setanta Sports say it would launch as a subscription service?
sentences: Starting in 1894, Tesla began investigating what he referred to as radiant energy of "invisible" kinds after he had noticed damaged film in his laboratory in previous experiments (later identified as "Roentgen rays" or "X-Rays")., The announcement came a day after Setanta Sports confirmed that it would launch in March as a subscription service on the digital terrestrial platform, and on the same day that NTL's services re-branded as Virgin Media., The deportation of Acadians beginning in 1755 resulted in land made available to migrants from Europe and the colonies further south.
pipeline_tag: sentence-similarity
model-index: name: SentenceTransformer based on bobox/DeBERTaV3-TR-AllSoft-HT-fixed-n
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test
type: sts-test
metrics: type: pearson_cosine
value: 0.7922569801615637
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7990724356054392
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.7393820169803472
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.7274111680734743
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7408287634205031
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.7278220089567213
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.546327972261478
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.5345949261624818
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7922569801615637
name: Pearson Max
verified: no, type: spearman_max
value: 0.7990724356054392
name: Spearman Max
verified: no, type: pearson_cosine
value: 0.7922569801615637
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7990724356054392
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.7393820169803472
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.7274111680734743
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7408287634205031
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.7278220089567213
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.546327972261478
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.5345949261624818
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7922569801615637
name: Pearson Max
verified: no, type: spearman_max
value: 0.7990724356054392
name: Spearman Max
verified: no
Likes: 0 | All-time downloads: 142
Created: 2024-07-05 23:00:42