Model: tomaarsen/stsb-distilbert-base-ocl
Author: tomaarsen
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, distilbert, sentence-similarity, feature-extraction, loss:OnlineContrastiveLoss, en, arxiv:1908.10084, base_model:sentence-transformers/stsb-distilbert-base, base_model:finetune:sentence-transformers/stsb-distilbert-base, model-index, co2_eq_emissions, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: sentence-transformers/stsb-distilbert-base
Card metadata: language: en
library_name: sentence-transformers
tags: sentence-transformers, sentence-similarity, feature-extraction, loss:OnlineContrastiveLoss
base_model: sentence-transformers/stsb-distilbert-base
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, 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: Why did he go MIA?
sentences: Why did Yahoo kill Konfabulator?, Why do people get angry with me?, What are the best waterproof guns?, source_sentence: Who is a soulmate?
sentences: Is she the “One”?, Who is Pakistan's biggest enemy?, Will smoking weed help with my anxiety?, source_sentence: Is this poem good?
sentences: Is my poem any good?, How can I become a good speaker?, What is feminism?, source_sentence: Who invented Yoga?
sentences: How was yoga invented?, Who owns this number 3152150252?, What is Dynamics CRM Services?, source_sentence: Is stretching bad?
sentences: Is stretching good for you?, If i=0; what will i=i++ do to i?, What is the Output of this C program ?
pipeline_tag: sentence-similarity
co2_eq_emissions: emissions: 15.707175691967695
energy_consumed: 0.040409299905757354
source: codecarbon
training_type: fine-tuning
on_cloud: no
cpu_model: 13th Gen Intel(R) Core(TM) i7-13700K
ram_total_size: 31.777088165283203
hours_used: 0.202
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: SentenceTransformer based on sentence-transformers/stsb-distilbert-base
results: task: type: binary-classification
name: Binary Classification
dataset: name: quora duplicates
type: quora-duplicates
metrics: type: cosine_accuracy
value: 0.86
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.8104104995727539
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.8250591016548463
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.7247534394264221
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.7347368421052631
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9407008086253369
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.887247904332921
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.828
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 157.35491943359375
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.7898550724637681
name: Dot F1
verified: no, type: dot_f1_threshold
value: 145.7113037109375
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.7155361050328227
name: Dot Precision
verified: no, type: dot_recall
value: 0.8814016172506739
name: Dot Recall
verified: no, type: dot_ap
value: 0.8369433397850002
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.868
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 208.00347900390625
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.8307692307692308
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 208.00347900390625
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.7921760391198044
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.8733153638814016
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.8868217413983182
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.867
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 9.269388198852539
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.8301404853128991
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 9.525729179382324
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.7888349514563107
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.876010781671159
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.8884154240019244
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.868
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 208.00347900390625
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.8307692307692308
name: Max F1
verified: no, type: max_f1_threshold
value: 208.00347900390625
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.7921760391198044
name: Max Precision
verified: no, type: max_recall
value: 0.9407008086253369
name: Max Recall
verified: no, type: max_ap
value: 0.8884154240019244
name: Max Ap
verified: no, task: type: paraphrase-mining
name: Paraphrase Mining
dataset: name: quora duplicates dev
type: quora-duplicates-dev
metrics: type: average_precision
value: 0.534436244125929
name: Average Precision
verified: no, type: f1
value: 0.5447997274541295
name: F1
verified: no, type: precision
value: 0.5311002514589362
name: Precision
verified: no, type: recall
value: 0.5592246590398161
name: Recall
verified: no, type: threshold
value: 0.8626040816307068
name: Threshold
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: Unknown
type: unknown
metrics: type: cosine_accuracy@1
value: 0.928
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.9712
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.9782
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9874
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.928
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.4151333333333334
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.26656
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.14166
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.7993523853760618
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.9341884771405065
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.9560896250710075
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9766088525134997
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.9516150309696244
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.9509392857142857
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.9390263696194139
name: Cosine Map@100
verified: no, type: dot_accuracy@1
value: 0.8926
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.9518
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.9658
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.9768
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.8926
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.40273333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.26076
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.13882
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.7679620996617761
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.9105756956997251
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.9402185219519044
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.9623418143294613
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.9263520741106431
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.9243020634920638
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.9094019438194247
name: Dot Map@100
verified: no
Likes: 0 | All-time downloads: 97
Created: 2024-05-02 10:02:38