Model: tomaarsen/stsb-distilbert-base-quora-duplicate-questions
Author: tomaarsen
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, distilbert, sentence-similarity, feature-extraction, generated, arxiv:1908.10084, arxiv:1705.00652, base_model:sentence-transformers/stsb-distilbert-base, base_model:finetune:sentence-transformers/stsb-distilbert-base, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: sentence-transformers/stsb-distilbert-base
Card metadata: library_name: sentence-transformers
tags: sentence-transformers, sentence-similarity, feature-extraction, generated
base_model: sentence-transformers/stsb-distilbert-base
metrics: cosine_accuracy, cosine_accuracy_threshold, cosine_f1, cosine_f1_threshold, cosine_precision, cosine_recall, cosine_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, dot_accuracy, dot_accuracy_threshold, dot_f1, dot_f1_threshold, dot_precision, dot_recall, dot_ap, max_accuracy, max_accuracy_threshold, max_f1, max_f1_threshold, max_precision, max_recall, max_ap, average_precision, f1, precision, recall, threshold, cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10, cosine_recall@1, cosine_recall@3, cosine_recall@5, cosine_recall@10, cosine_ndcg@10, cosine_mrr@10, cosine_map@100, dot_accuracy@1, dot_accuracy@3, dot_accuracy@5, dot_accuracy@10, dot_precision@1, dot_precision@3, dot_precision@5, dot_precision@10, dot_recall@1, dot_recall@3, dot_recall@5, dot_recall@10, dot_ndcg@10, dot_mrr@10, dot_map@100
widget: source_sentence: How porn is made?
sentences: How is porn made?, How do you study before a test?, What is the best book for afcat?, source_sentence: Is WW3 inevitable?
sentences: How close to WW3 are we?, Is it ok not to know everything?, How can I get good marks on my exam?, source_sentence: How do stop smoking?
sentences: How did you quit/stop smoking?, How can I gain weight naturally?, What movie is the best movie of 2016?, source_sentence: What is astrology?
sentences: What really is astrology?, How do I control blood pressure?, How should I reduce weight easily?, source_sentence: What is SMS API?
sentences: What is an SMS API?, How will Sound travel in SPACE?, Do we live inside a black hole?
pipeline_tag: sentence-similarity
model-index: name: SentenceTransformer based on sentence-transformers/stsb-distilbert-base
results: task: type: binary-classification
name: Binary Classification
dataset: name: Unknown
type: unknown
metrics: type: cosine_accuracy
value: 0.770712179816613
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.8169694542884827
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.7086398522340053
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.7420324087142944
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.6032968224704479
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.8585539007639479
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.7191176594498068
name: Cosine Ap
verified: no, type: manhattan_accuracy
value: 0.7729301344296882
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 181.4663848876953
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.7082838527457715
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 222.911865234375
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.6063303659742829
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.8514545875453353
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.7188011305084623
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.7736333883313948
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 8.356552124023438
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.7088200276731988
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 10.092880249023438
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.6079037421348935
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.8499112585847673
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.719131590718056
name: Euclidean Ap
verified: no, type: dot_accuracy
value: 0.7441508209136891
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 168.56625366210938
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.6831510249103777
name: Dot F1
verified: no, type: dot_f1_threshold
value: 142.45849609375
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.5665209879052749
name: Dot Precision
verified: no, type: dot_recall
value: 0.8602515626205726
name: Dot Recall
verified: no, type: dot_ap
value: 0.6693622133717865
name: Dot Ap
verified: no, type: max_accuracy
value: 0.7736333883313948
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 181.4663848876953
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.7088200276731988
name: Max F1
verified: no, type: max_f1_threshold
value: 222.911865234375
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.6079037421348935
name: Max Precision
verified: no, type: max_recall
value: 0.8602515626205726
name: Max Recall
verified: no, type: max_ap
value: 0.719131590718056
name: Max Ap
verified: no, task: type: paraphrase-mining
name: Paraphrase Mining
dataset: name: dev
type: dev
metrics: type: average_precision
value: 0.47803306271270435
name: Average Precision
verified: no, type: f1
value: 0.5119182746878547
name: F1
verified: no, type: precision
value: 0.4683281412253375
name: Precision
verified: no, type: recall
value: 0.5644555694618273
name: Recall
verified: no, type: threshold
value: 0.8193174600601196
name: Threshold
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: Unknown
type: unknown
metrics: type: cosine_accuracy@1
value: 0.9654
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.9904
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.9948
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9974
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.9654
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.43553333333333333
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.28064
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.14934
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.8251379240296788
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.9549051140803786
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.9757885342898082
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9898260744103871
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.9786162291363164
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.9785615873015873
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.9713888565523412
name: Cosine Map@100
verified: no, type: dot_accuracy@1
value: 0.9512
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.985
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.9914
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.9964
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.9512
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.4303333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.2788
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.14896
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.8119095906963455
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.9459636855089498
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.9708092557905298
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.9883617291912786
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.9702609044345125
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.9693138888888887
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.9599586870108953
name: Dot Map@100
verified: no
Likes: 0 | All-time downloads: 12
Created: 2024-04-09 21:33:08