Model: tomaarsen/stsb-distilbert-base-mnrl-cl-multi
Author: tomaarsen
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, distilbert, sentence-similarity, feature-extraction, loss:MultipleNegativesRankingLoss, loss:ContrastiveLoss, en, arxiv:1908.10084, arxiv:1705.00652, 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:MultipleNegativesRankingLoss, loss:ContrastiveLoss
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: What is Mindset?
sentences: What is a mindset?, Can you eat only once a day?, Is law a good career choice?, source_sentence: Is a queef real?
sentences: Is "G" based on real events?, What is the entire court process?, How do I reduce my weight?, source_sentence: Is Cicret a scam?
sentences: Is the Cicret Bracelet a scam?, Was World War II Inevitable?, What are some of the best photos?, source_sentence: What is Planet X?
sentences: Do planet X exist?, What are the best C++ books?, How can I lose my weight fast?, source_sentence: How fast is fast?
sentences: How does light travel so fast?, How do I copyright my books?, What is a black hole made of?
pipeline_tag: sentence-similarity
co2_eq_emissions: emissions: 32.724475965905576
energy_consumed: 0.08418911136527617
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: 0.399
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: 0.846
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.7969297170639038
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.7791495198902607
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.7139598727226257
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.6977886977886978
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.8819875776397516
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.8230449963294564
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.843
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 151.2908477783203
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.7660818713450294
name: Dot F1
verified: no, type: dot_f1_threshold
value: 143.77838134765625
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.7237569060773481
name: Dot Precision
verified: no, type: dot_recall
value: 0.8136645962732919
name: Dot Recall
verified: no, type: dot_ap
value: 0.7946044629726107
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.838
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 194.99119567871094
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.7704081632653061
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 247.49777221679688
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.6536796536796536
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.937888198757764
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.8149715271935773
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.841
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 9.02225112915039
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.7703889585947302
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 11.385245323181152
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.6463157894736842
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.953416149068323
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.8152967320117391
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.846
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 194.99119567871094
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.7791495198902607
name: Max F1
verified: no, type: max_f1_threshold
value: 247.49777221679688
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.7237569060773481
name: Max Precision
verified: no, type: max_recall
value: 0.953416149068323
name: Max Recall
verified: no, type: max_ap
value: 0.8230449963294564
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: 0.5888649029434471
name: Average Precision
verified: no, type: f1
value: 0.5761652140962487
name: F1
verified: no, type: precision
value: 0.5477552123204396
name: Precision
verified: no, type: recall
value: 0.6076834690513064
name: Recall
verified: no, type: threshold
value: 0.7728720009326935
name: Threshold
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: Unknown
type: unknown
metrics: type: cosine_accuracy@1
value: 0.963
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.9906
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.9944
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9982
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.963
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.4285333333333333
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.27568000000000004
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.14494
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.8299562338609103
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.9590366552956846
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.9806221849555673
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9925738410935468
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.9784033087450696
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.9771579365079368
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.9709189650394419
name: Cosine Map@100
verified: no, type: dot_accuracy@1
value: 0.9514
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.9852
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.991
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.9968
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.9514
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.4247333333333334
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.27364
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.14458000000000001
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.8194380520427287
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.9520212390452685
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.9755502441186265
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.9910547306614953
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.9715023430522326
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.9692583333333334
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.961739772177385
name: Dot Map@100
verified: no
Likes: 0 | All-time downloads: 124
Created: 2024-05-02 12:42:23