Model: overfitting-co/A2P-constrastive-all
Author: overfitting-co
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, onnx, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:4505, loss:OnlineContrastiveLoss, arxiv:1908.10084, base_model:sentence-transformers/all-MiniLM-L6-v2, base_model:quantized:sentence-transformers/all-MiniLM-L6-v2, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (quantized): id: sentence-transformers/all-MiniLM-L6-v2
Card metadata: base_model: sentence-transformers/all-MiniLM-L6-v2
library_name: sentence-transformers
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
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:4505, loss:OnlineContrastiveLoss
widget: source_sentence: Greektown on the Danforth
sentences: Gregarious, Gregarious, Gregarious, source_sentence: Temple of the Emerald Buddha (Wat Phra Kaew)
sentences: Respectful, Uninterested, Respectful, source_sentence: Natureland Liat Towers
sentences: Careless, Disinterested, Aggressive, source_sentence: Old Town
sentences: Reserved, Laid-back, Callous, source_sentence: Khaosan Road
sentences: Adventurous, Adventurous, Reserved
model-index: name: SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2
results: task: type: binary-classification
name: Binary Classification
dataset: name: Unknown
type: unknown
metrics: type: cosine_accuracy
value: 0.9573712255772646
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.8162947297096252
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.958041958041958
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.8131216764450073
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.9681978798586572
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9480968858131488
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9909492524224418
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.9573712255772646
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.8162947297096252
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.958041958041958
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.8131217360496521
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.9681978798586572
name: Dot Precision
verified: no, type: dot_recall
value: 0.9480968858131488
name: Dot Recall
verified: no, type: dot_ap
value: 0.9909492524224418
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.9609236234458259
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 9.564813613891602
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.9619377162629758
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 9.564813613891602
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.9619377162629758
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9619377162629758
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.9908734681022205
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.9573712255772646
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.6061439514160156
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.958041958041958
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.6113559007644653
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.9681978798586572
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9480968858131488
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.9909492524224418
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.9609236234458259
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 9.564813613891602
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.9619377162629758
name: Max F1
verified: no, type: max_f1_threshold
value: 9.564813613891602
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.9681978798586572
name: Max Precision
verified: no, type: max_recall
value: 0.9619377162629758
name: Max Recall
verified: no, type: max_ap
value: 0.9909492524224418
name: Max Ap
verified: no, task: type: binary-classification
name: Binary Classification
dataset: name: test
type: test
metrics: type: cosine_accuracy
value: 0.9592198581560284
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.7969272136688232
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.9591474245115454
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.7969272136688232
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.9574468085106383
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9608540925266904
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9877694290490489
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.9592198581560284
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.7969271540641785
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.9591474245115454
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.7969271540641785
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.9574468085106383
name: Dot Precision
verified: no, type: dot_recall
value: 0.9608540925266904
name: Dot Recall
verified: no, type: dot_ap
value: 0.9877694290490489
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.9556737588652482
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 9.808526992797852
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.9557522123893805
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 9.917011260986328
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.9507042253521126
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9608540925266904
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.9866404317968996
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.9592198581560284
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.6372953653335571
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.9591474245115454
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.6372953653335571
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.9574468085106383
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9608540925266904
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.9877694290490489
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.9592198581560284
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 9.808526992797852
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.9591474245115454
name: Max F1
verified: no, type: max_f1_threshold
value: 9.917011260986328
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.9574468085106383
name: Max Precision
verified: no, type: max_recall
value: 0.9608540925266904
name: Max Recall
verified: no, type: max_ap
value: 0.9877694290490489
name: Max Ap
verified: no
Likes: 0 | All-time downloads: 168
Created: 2024-11-05 17:32:17