Model: bobox/DeBERTa-small-ST-v1-toytest
Author: bobox
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, pytorch, deberta-v2, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:226010, loss:CachedGISTEmbedLoss, en, dataset:jinaai/negation-dataset-v2, dataset:tals/vitaminc, dataset:allenai/scitail, dataset:allenai/sciq, dataset:allenai/qasc, dataset:sentence-transformers/msmarco-msmarco-distilbert-base-v3, dataset:sentence-transformers/natural-questions, dataset:sentence-transformers/trivia-qa, dataset:sentence-transformers/gooaq, dataset:google-research-datasets/paws, arxiv:1908.10084, base_model:microsoft/deberta-v3-small, base_model:finetune:microsoft/deberta-v3-small, model-index, endpoints_compatible, region:us
Base models (finetune): id: microsoft/deberta-v3-small
Card metadata: base_model: microsoft/deberta-v3-small
datasets: jinaai/negation-dataset-v2, tals/vitaminc, allenai/scitail, allenai/sciq, allenai/qasc, sentence-transformers/msmarco-msmarco-distilbert-base-v3, sentence-transformers/natural-questions, sentence-transformers/trivia-qa, sentence-transformers/gooaq, google-research-datasets/paws
language: en
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, cosine_accuracy, dot_accuracy, manhattan_accuracy, euclidean_accuracy, max_accuracy, cosine_accuracy_threshold, cosine_f1, cosine_f1_threshold, cosine_precision, cosine_recall, cosine_ap, dot_accuracy_threshold, dot_f1, dot_f1_threshold, dot_precision, dot_recall, dot_ap, manhattan_accuracy_threshold, manhattan_f1, manhattan_f1_threshold, manhattan_precision, manhattan_recall, manhattan_ap, euclidean_accuracy_threshold, euclidean_f1, euclidean_f1_threshold, euclidean_precision, euclidean_recall, euclidean_ap, 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:226010, loss:CachedGISTEmbedLoss
widget: source_sentence: what is the common lifespan of a star
sentences: Mites can leave bites that look like they came from bed bugs (see these pictures of bed bug bites), but not all mites are the same, so let me quickly explain. In fact, there are almost 46,000 species of mites, but only a few bite humans! They are the Northern Fowl Mite, Tropical Rat Mite, and Itch or Scabies Mite., Cost of Cardiac Catheterization Procedures Any type of cardiac care in the United States is growing increasingly pricey. A cardiac catheterization procedure, depending on location, may range in price between $2,400 and $4,000 in the United States., Lifespans for main sequence stars have a vast range. Whilst our Sun will spend 10 billion years on the main sequence, a high-mass, ten solar-mass (10 M Sun) star will only last 20 million years (2.0Ã 10 7 years) on the main sequence.A star with a only half the mass of Sun can spend 80 billion years on the main sequence.tars are composed almost entirely of hydrogen and helium. A star such as our Sun is about 73% hydrogen by mass and 25% helium. If determined by number of nuclei then it is 92% hydrogen and 7.8% helium. The remaining 2% by mass or 0.2% by number is all the heavier elements., source_sentence: More than 169 countries had reported over 212,000 COVID-19 cases before March 19 , 2020 .
sentences: As of 23 March , more than 341,000 cases of COVID-19 have been reported in 192 countries and territories , resulting in more than 14,700 deaths and 99,000 recoveries ., As of 21 March , more than 278,000 cases of COVID-19 have been reported in over 186 countries and territories , resulting in more than 11,500 deaths and 92,000 recoveries.  virus seems to mostly spread between people via respiratory droplets ., As of 18 March 2020 , more than 212,000 cases of COVID-19 have been reported in at least 170 countries and territories , with major outbreaks in China , Iran and the European Union ., source_sentence: The memory walk saw participants gather at Bents Park in South Shields on Saturday and travel 7km (4.3miles) along a coastal route.
The Alzheimer's Society said it was the biggest event of its kind it had staged in the north-east of England.
Organisers said the number of participants almost doubled that of last year's event.
About 35,000 people in the region have dementia, according to the charity.
sentences: More than 4,500 people have taken part in a charity event raising funds for the fight against Alzheimer's disease., Gareth Southgate should be appointed England manager "as soon as possible" and be given the same contract as predecessor Sam Allardyce, says former Three Lions defender Danny Mills., The owners of a Gwynedd skip hire business have been jailed for illegally storing waste., source_sentence: Electrical energy can be converted into kinetic energy and heat energy by an electric motor.
sentences: Solution is the term for a homogeneous mixture of two or more substances., Solution is the term for a homogeneous mixture of two or more substances., Electric motors transform electrical energy into kinetic energy., source_sentence: who did ben assault in home and away
sentences: List of Home and Away characters (2017) Ben and Maggie learn that Ziggy has been dating Brody in secret and they disapprove of the relationship. Ziggy leaves the house and Ben tells her not to come back. He apologises to her the next day, but does not accept her relationship with Brody, so Ziggy refuses to come home. Brody later breaks up with her. Ben begins making surf boards to sell at the pier. Ben finds Coco convulsing in the garden and he and Maggie learn she has bulimia. Ziggy later leaves home. Days later, Ben sees her with Brody, who is attempting to bring her home, and punches him in the face. Olivia Fraser Richards (Raechelle Banno) tells Sergeant Phillip McCarthy (Nicholas Cassim) and Ben is arrested. McCarthy and Kat Chapman (Pia Miller) learns he has a criminal record for assaulting his brother. Ben insults Kat, which leads to him being charged. Maggie secures a loan to get him out on bail. Maggie's mother, Diana (Sarah Chadwick) came to Summer Bay to visit the family and Diana told Ben and Maggie that she is the one who bailed Ben out of jail., Stone (unit) The name "stone" derives from the use of stones for weights, a practice that dates back into antiquity. The Biblical law against the carrying of "diverse weights, a large and a small"[7] is more literally translated as "you shall not carry a stone and a stone (אבן ואבן), a large and a small". There was no standardised "stone" in the ancient Jewish world,[8] but in Roman times stone weights were crafted to multiples of the Roman pound.[9] Such weights varied in quality: the Yale Medical Library holds 10 and 50-pound examples of polished serpentine,[10] while a 40-pound example at the Eschborn Museum (see right) is made of sandstone.[11], Bad Things (Machine Gun Kelly and Camila Cabello song) "Bad Things" is a song by American rapper Machine Gun Kelly and Cuban-American singer Camila Cabello. The song was released on October 14, 2016 and was produced by The Futuristics. Its music video was directed by Hannah Lux Davis and premiered on December 1, 2016. The song features an interpolation of Fastball's 1999 single "Out of My Head". The single peaked at number four on the US Billboard Hot 100.
model-index: name: SentenceTransformer based on microsoft/deberta-v3-small
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test
type: sts-test
metrics: type: pearson_cosine
value: 0.846466596875356
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.8904026640082261
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.8784788599905751
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.8827673246412652
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.8775593452462649
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.8810458375755512
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.8480375809921659
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.8705808575512824
name: Spearman Dot
verified: no, type: pearson_max
value: 0.8784788599905751
name: Pearson Max
verified: no, type: spearman_max
value: 0.8904026640082261
name: Spearman Max
verified: no, task: type: triplet
name: Triplet
dataset: name: NLI v2
type: NLI-v2
metrics: type: cosine_accuracy
value: 1
name: Cosine Accuracy
verified: no, type: dot_accuracy
value: 0
name: Dot Accuracy
verified: no, type: manhattan_accuracy
value: 1
name: Manhattan Accuracy
verified: no, type: euclidean_accuracy
value: 1
name: Euclidean Accuracy
verified: no, type: max_accuracy
value: 1
name: Max Accuracy
verified: no, task: type: binary-classification
name: Binary Classification
dataset: name: VitaminC
type: VitaminC
metrics: type: cosine_accuracy
value: 0.578125
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.787956714630127
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.6577540106951871
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.2885514795780182
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.4900398406374502
name: Cosine Precision
verified: no, type: cosine_recall
value: 1
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.5535321831241837
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.5703125
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 331.16162109375
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.6577540106951871
name: Dot F1
verified: no, type: dot_f1_threshold
value: 112.65699005126953
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.4900398406374502
name: Dot Precision
verified: no, type: dot_recall
value: 1
name: Dot Recall
verified: no, type: dot_ap
value: 0.5538572188565111
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.57421875
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 273.09307861328125
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.6577540106951871
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 495.97412109375
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.4900398406374502
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 1
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.5467997618408617
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.58203125
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 13.288713455200195
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.6594594594594595
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 22.802650451660156
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.4939271255060729
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.991869918699187
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.5502971665088517
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.58203125
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 331.16162109375
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.6594594594594595
name: Max F1
verified: no, type: max_f1_threshold
value: 495.97412109375
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.4939271255060729
name: Max Precision
verified: no, type: max_recall
value: 1
name: Max Recall
verified: no, type: max_ap
value: 0.5538572188565111
name: Max Ap
verified: no
Likes: 0 | All-time downloads: 186
Created: 2024-08-20 21:59:06