Model: bobox/DeBERTa-ST-AllLayers-v3.1bis
Author: bobox
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, pytorch, deberta-v2, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:165061, loss:AdaptiveLayerLoss, loss:GISTEmbedLoss, loss:OnlineContrastiveLoss, loss:MultipleNegativesSymmetricRankingLoss, loss:MultipleNegativesRankingLoss, en, dataset:sentence-transformers/all-nli, 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: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, arxiv:1705.00652, base_model:bobox/DeBERTa-ST-AllLayers-v3-checkpoints-tmp, base_model:finetune:bobox/DeBERTa-ST-AllLayers-v3-checkpoints-tmp, model-index, endpoints_compatible, region:us
Base models (finetune): id: bobox/DeBERTa-ST-AllLayers-v3-checkpoints-tmp
Card metadata: base_model: bobox/DeBERTa-ST-AllLayers-v3-checkpoints-tmp
datasets: sentence-transformers/all-nli, tals/vitaminc, nyu-mll/glue, allenai/scitail, sentence-transformers/xsum, sentence-transformers/sentence-compression, allenai/sciq, allenai/qasc, sentence-transformers/msmarco-msmarco-distilbert-base-v3, sentence-transformers/natural-questions, sentence-transformers/trivia-qa, sentence-transformers/quora-duplicates, sentence-transformers/gooaq
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, 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:165061, loss:AdaptiveLayerLoss, loss:GISTEmbedLoss, loss:OnlineContrastiveLoss, loss:MultipleNegativesSymmetricRankingLoss, loss:MultipleNegativesRankingLoss
widget: source_sentence: how to move money from one ira account to another?
sentences: Apart from getting EPF withdrawal form from your employer, you can download it from the EPFO portal. If your Universal Account Number (UAN) is linked to your Aadhar then you can use the Aadhar-based withdrawal form. Otherwise, you can apply for the withdrawal through UAN's portal., PJ Tucker is the worst starter on the Rockets, mainly because he is used as a minutes eater. He has the third-worst player efficiency rating on the team. He just doesn't compare in value to the other Houston starters., Sign the paperwork and submit it to the new bank or brokerage. Contact your original trustee to request a direct transfer of your IRA funds to the IRA at the new institution. If you want to maintain your current investments, your trustee may be able to make an in-kind transfer, leaving your investments in place., source_sentence: The number of COVID-19 cases was more than 241,500 worldwide by March 20 , 2020 .
sentences: More than 5,500 people have died from the disease and over 72,000 have recovered ., more than 6,500 deaths have been attributed to COVID-19 ., As of 20 March , more than 242,000 cases of COVID-19 have been reported in over 170 countries and territories , resulting in more than 9,900 deaths and 87,000 recoveries.  On 13 March , the WHO announced that Europe had become the new epicentre of the pandemic ., source_sentence: Reese Witherspoon says she's ``deeply embarrassed'' by her arrest, Kim Kardashian thinks she would get married again and Farrah Abraham brings her dad and 3-year-old daughter to her sex tape negotiation:
sentences: Scouts sell $3.5 million in popcorn, Reese Witherspoon is ``deeply embarrassed'' by arrest, Kim Kardashian thinks she would get married again:, Horse diagnosed with disease, source_sentence: who played snow queen in once upon a time
sentences: Terracotta Army The figures, dating from approximately the late third century BCE,[1] were discovered in 1974 by local farmers in Lintong District, Xi'an, Shaanxi province. The figures vary in height according to their roles, with the tallest being the generals. The figures include warriors, chariots and horses. Estimates from 2007 were that the three pits containing the Terracotta Army held more than 8,000 soldiers, 130 chariots with 520 horses and 150 cavalry horses, the majority of which remained buried in the pits nearby Qin Shi Huang's mausoleum.[2] Other terracotta non-military figures were found in other pits, including officials, acrobats, strongmen and musicians., Elizabeth Mitchell Elizabeth Mitchell (born Elizabeth Joanna Robertson: March 27, 1970) is an American actress known for her role as Dr. Juliet Burke on the ABC series Lost.[1] She also had lead roles on the TV series V and Revolution, as well as the Snow Queen on Once Upon a Time and as Deb Carpenter on Dead of Summer. Mitchell has starred in such films as The Santa Clause 2 & 3: The Escape Clause, Gia and The Purge: Election Year., First Amendment to the United States Constitution The First Amendment (Amendment I) to the United States Constitution prevents Congress from making any law respecting an establishment of religion, prohibiting the free exercise of religion, or abridging the freedom of speech, the freedom of the press, the right to peaceably assemble, or to petition for a governmental redress of grievances. It was adopted on December 15, 1791, as one of the ten amendments that constitute the Bill of Rights., source_sentence: what are light bulbs powered by?
sentences: an incandescent light bulb converts electricity into light by sending electricity through a filament. Incandescence is light from heat energy.. light bulbs are powered by heat, Viruses infect and live inside the cells of living organisms.. Life is a living organism.. viruses infect and live inside the cells of life., Pressure receptors are found mainly in the skin.. Pacinian corpuscles are pressure receptors.. Pacinian corpuscles are found mainly in the skin.
model-index: name: SentenceTransformer based on bobox/DeBERTa-ST-AllLayers-v3-checkpoints-tmp
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: StS test
type: StS-test
metrics: type: pearson_cosine
value: 0.8793189500083313
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.8947908169042798
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.8560302620930028
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.8597992045669297
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.8583553404512858
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.8608598483729061
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.7762320489548236
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.7778451219338482
name: Spearman Dot
verified: no, type: pearson_max
value: 0.8793189500083313
name: Pearson Max
verified: no, type: spearman_max
value: 0.8947908169042798
name: Spearman Max
verified: no, task: type: binary-classification
name: Binary Classification
dataset: name: mrpc test
type: mrpc-test
metrics: type: cosine_accuracy
value: 0.7315789473684211
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.7114981412887573
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.8213689482470784
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.6159781813621521
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.7008547008547008
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9919354838709677
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.8422966412940616
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.6973684210526315
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 6.44296932220459
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.8047538200339559
name: Dot F1
verified: no, type: dot_f1_threshold
value: 6.360085487365723
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.6950146627565983
name: Dot Precision
verified: no, type: dot_recall
value: 0.9556451612903226
name: Dot Recall
verified: no, type: dot_ap
value: 0.7568855067656524
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.7342105263157894
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 51.98240280151367
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.8178571428571427
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 53.52705383300781
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.7339743589743589
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9233870967741935
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.8235858099435117
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.7315789473684211
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 2.6293671131134033
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.8169014084507041
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 2.794234275817871
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.725
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9354838709677419
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.8251648254909114
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.7342105263157894
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 51.98240280151367
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.8213689482470784
name: Max F1
verified: no, type: max_f1_threshold
value: 53.52705383300781
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.7339743589743589
name: Max Precision
verified: no, type: max_recall
value: 0.9919354838709677
name: Max Recall
verified: no, type: max_ap
value: 0.8422966412940616
name: Max Ap
verified: no, task: type: binary-classification
name: Binary Classification
dataset: name: Vitaminc test
type: Vitaminc-test
metrics: type: cosine_accuracy
value: 0.5736842105263158
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.7548408508300781
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.6717267552182163
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.4373416006565094
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.5175438596491229
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9567567567567568
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.5582893785596661
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.5552631578947368
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 9.62537956237793
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.6703910614525139
name: Dot F1
verified: no, type: dot_f1_threshold
value: 6.372426509857178
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.5113636363636364
name: Dot Precision
verified: no, type: dot_recall
value: 0.972972972972973
name: Dot Recall
verified: no, type: dot_ap
value: 0.5545955028730921
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.5736842105263158
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 57.34288787841797
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.6666666666666666
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 100.97366333007812
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.5013623978201635
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9945945945945946
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.5522704905667226
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.5789473684210527
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 2.8532462120056152
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.6654611211573237
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 5.014068603515625
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.5
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9945945945945946
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.5536180101802943
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.5789473684210527
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 57.34288787841797
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.6717267552182163
name: Max F1
verified: no, type: max_f1_threshold
value: 100.97366333007812
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.5175438596491229
name: Max Precision
verified: no, type: max_recall
value: 0.9945945945945946
name: Max Recall
verified: no, type: max_ap
value: 0.5582893785596661
name: Max Ap
verified: no
Likes: 0 | All-time downloads: 9
Created: 2024-07-14 04:13:19