Model: bobox/DeBERTaV3-small-ST-AdaptiveLayerAllNormalized
Author: bobox
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, pytorch, deberta-v2, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:314315, loss:AdaptiveLayerLoss, loss:MultipleNegativesRankingLoss, en, dataset:stanfordnlp/snli, arxiv:1908.10084, arxiv:2402.14776, arxiv:1705.00652, 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: language: en
library_name: sentence-transformers
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:314315, loss:AdaptiveLayerLoss, loss:MultipleNegativesRankingLoss
base_model: microsoft/deberta-v3-small
datasets: stanfordnlp/snli
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
widget: source_sentence: The pitcher is pitching the ball in a game of baseball.
sentences: the lady digs into the ground, A group of people are sitting at tables., The pitcher throws the ball., source_sentence: People are conversing at a dining table under a canopy.
sentences: A canine is using his legs., The people are creative., People at a party are seated for dinner on the lawn., source_sentence: Two teenage girls conversing next to lockers.
sentences: Girls talking about their problems next to lockers., A group of people play in the ocean., The man is testing the bike., source_sentence: A young boy in a hoodie climbs a red slide sitting on a red and green checkered background.
sentences: People are buying food from a street vendor., A boy is playing., A dog outside digging., source_sentence: A professional swimmer spits water out after surfacing while grabbing the hand of someone helping him back to land.
sentences: A group of people wait in a line., A tourist has his picture taken on Easter Island., The swimmer almost drowned after being sucked under a fast current.
pipeline_tag: sentence-similarity
model-index: name: SentenceTransformer based on microsoft/deberta-v3-small
results: task: type: binary-classification
name: Binary Classification
dataset: name: Unknown
type: unknown
metrics: type: cosine_accuracy
value: 0.6578209113655319
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.7228835821151733
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.7058138858173776
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.6018929481506348
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.586687306501548
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.8856433474514386
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.6972177912771047
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.6157403897187049
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 240.6935577392578
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.6994949494949494
name: Dot F1
verified: no, type: dot_f1_threshold
value: 180.59024047851562
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.5603834989884774
name: Dot Precision
verified: no, type: dot_recall
value: 0.9304805024098145
name: Dot Recall
verified: no, type: dot_ap
value: 0.6228322985998769
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.6658579118962772
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 281.63262939453125
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.7096774193548386
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 315.9024658203125
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.6168446026097272
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.8354023659997079
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.7109579985461502
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.6626734399878687
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 14.194840431213379
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.7064288581751448
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 17.004133224487305
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.581586402266289
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.8995180370965387
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.7094433163219231
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.6658579118962772
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 281.63262939453125
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.7096774193548386
name: Max F1
verified: no, type: max_f1_threshold
value: 315.9024658203125
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.6168446026097272
name: Max Precision
verified: no, type: max_recall
value: 0.9304805024098145
name: Max Recall
verified: no, type: max_ap
value: 0.7109579985461502
name: Max Ap
verified: no
Likes: 0 | All-time downloads: 128
Created: 2024-06-11 12:14:31