Model: bobox/DeBERTaV3-xSmall-SentenceTransformer-0.03
Author: bobox
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, pytorch, deberta-v2, sentence-similarity, feature-extraction, dataset_size:100K<n<1M, loss:MultipleNegativesRankingLoss, en, arxiv:1908.10084, arxiv:1705.00652, base_model:microsoft/deberta-v3-xsmall, base_model:finetune:microsoft/deberta-v3-xsmall, model-index, endpoints_compatible, region:us
Base models (finetune): id: microsoft/deberta-v3-xsmall
Card metadata: language: en
library_name: sentence-transformers
tags: sentence-transformers, sentence-similarity, feature-extraction, dataset_size:100K<n<1M, loss:MultipleNegativesRankingLoss
base_model: microsoft/deberta-v3-xsmall
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: No, monsieur.
sentences: Yes, sir., Look, there's a legend here., All models are subject to analysis., source_sentence: She shrugged.
sentences: She acted like it didn't matter., He felt bad for doubting her., Jacques Teti movies are my favorite., source_sentence: We can think.
sentences: We need to think., A man is on his way to work., Her favorite candy is chocolate., source_sentence: He loved her.
sentences: She was loved by him., The person is playing rugby., All models are subject to analysis., source_sentence: in each square
sentences: It is widespread., A young girl flips an omelet., He charged Jon with a knife.
pipeline_tag: sentence-similarity
model-index: name: SentenceTransformer based on microsoft/deberta-v3-xsmall
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts dev
type: sts-dev
metrics: type: pearson_cosine
value: 0.7972304062599285
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.8069984848350104
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.8078500467589406
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.8072286629818308
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.8083747460970299
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.807329204776433
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.7028547677818588
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.690944321229592
name: Spearman Dot
verified: no, type: pearson_max
value: 0.8083747460970299
name: Pearson Max
verified: no, type: spearman_max
value: 0.807329204776433
name: Spearman Max
verified: no, task: type: binary-classification
name: Binary Classification
dataset: name: Unknown
type: unknown
metrics: type: cosine_accuracy
value: 0.677155205095155
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.7285403609275818
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.7186860786908915
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.6111028790473938
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.6110485933503836
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.8723528552650796
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.73917897685454
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.6382591553567367
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 228.40408325195312
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.706771220880316
name: Dot F1
verified: no, type: dot_f1_threshold
value: 177.3942108154297
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.5811370481927711
name: Dot Precision
verified: no, type: dot_recall
value: 0.9017087775668176
name: Dot Recall
verified: no, type: dot_ap
value: 0.6903597943138529
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.6635074683448328
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 174.62747192382812
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.7054413268204022
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 232.6788330078125
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.5771911887721908
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.906966554695487
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.7282119371967055
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.6650997042990371
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 13.422540664672852
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.7067711563398544
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 17.634807586669922
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.5755739210284665
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9154374178472323
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.730311832588485
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.677155205095155
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 228.40408325195312
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.7186860786908915
name: Max F1
verified: no, type: max_f1_threshold
value: 232.6788330078125
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.6110485933503836
name: Max Precision
verified: no, type: max_recall
value: 0.9154374178472323
name: Max Recall
verified: no, type: max_ap
value: 0.73917897685454
name: Max Ap
verified: no
Likes: 2 | All-time downloads: 1
Created: 2024-06-07 08:36:24