Model: bobox/DeBERTaV3-small-SentenceTransformer-AdaptiveLayerBaseline
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, dataset:sentence-transformers/stsb, 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, sentence-transformers/stsb
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
widget: source_sentence: Two teenage girls conversing next to lockers.
sentences: Girls talking about their problems next to lockers., A bully tries to pop a balloon without being caught in the act., Two dogs standing together in the yard., source_sentence: A young man in a heavy brown winter coat stands in front of a blue railing with his arms spread.
sentences: a boy holding onto the wall of an old brick house's raised foundation as construction occurs, The railing is in front of a frozen lake., A skateboarder is doing tricks for a competition., source_sentence: A shirtless man with a white hat and no shoes sitting crisscross with his back against the wall holding up a white plastic cup.
sentences: A long-haired boy riding his skateboard at a fast pace over a stone wall with graffiti., A man is sitting crisscross, a child in a black ninja suit does a kick, source_sentence: A light colored dog leaps over a hurdle.
sentences: Men sit on the bus going to work,, A dog jumps over a obstacel., a man standing on his motorbike., source_sentence: people are standing near water with a boat heading their direction
sentences: People are standing near water with a large blue boat heading their direction., Two people climbing on a wooden scaffold., The dogs are near the toy.
pipeline_tag: sentence-similarity
model-index: name: SentenceTransformer based on microsoft/deberta-v3-small
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: Unknown
type: unknown
metrics: type: pearson_cosine
value: 0.7660217567682521
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7681125489633884
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.7917532885619117
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.794675885405013
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7860948725725584
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.7895594746178918
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.644843928972524
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.6427588138459626
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7917532885619117
name: Pearson Max
verified: no, type: spearman_max
value: 0.794675885405013
name: Spearman Max
verified: no, task: type: binary-classification
name: Binary Classification
dataset: name: Unknown
type: unknown
metrics: type: cosine_accuracy
value: 0.6730608840700584
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.5814725160598755
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.7170495061078964
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.4670722782611847
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.5977392321184954
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.895866802979407
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.7193483203625508
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.6444764576541057
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 71.95508575439453
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.7094262988661364
name: Dot F1
verified: no, type: dot_f1_threshold
value: 53.77289581298828
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.5779411764705882
name: Dot Precision
verified: no, type: dot_recall
value: 0.9183584051409376
name: Dot Recall
verified: no, type: dot_ap
value: 0.6828334101602328
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.6664644779740693
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 213.6251678466797
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.7047102517243412
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 245.20578002929688
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.5908461842625544
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.8729370527238206
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.7132026586783923
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.6621426946698006
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 10.358880996704102
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.7024081560907013
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 12.010871887207031
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.5864970645792563
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.8754198919234701
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.7101786172295015
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.6730608840700584
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 213.6251678466797
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.7170495061078964
name: Max F1
verified: no, type: max_f1_threshold
value: 245.20578002929688
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.5977392321184954
name: Max Precision
verified: no, type: max_recall
value: 0.9183584051409376
name: Max Recall
verified: no, type: max_ap
value: 0.7193483203625508
name: Max Ap
verified: no
Likes: 0 | All-time downloads: 159
Created: 2024-06-10 00:21:12