Model: nicolassaint/mpnet-base-all-nli-triplet
Author: nicolassaint
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, dataset_size:n<1K, loss:MultipleNegativesRankingLoss, en, arxiv:1908.10084, arxiv:1705.00652, base_model:BAAI/bge-large-en, base_model:finetune:BAAI/bge-large-en, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: BAAI/bge-large-en
Card metadata: language: en
library_name: sentence-transformers
tags: sentence-transformers, sentence-similarity, feature-extraction, dataset_size:n<1K, loss:MultipleNegativesRankingLoss
base_model: BAAI/bge-large-en
metrics: cosine_accuracy, dot_accuracy, manhattan_accuracy, euclidean_accuracy, max_accuracy
widget: source_sentence: Double pig.
sentences: Ah, triple pig!, On the square outline., a boy sleeps in a car, source_sentence: dog in pool
sentences: The dog is playing., A boy is with his mum., No one wanted Singapore., source_sentence: a man sits
sentences: The man is outside, Crafts are being done., No way! She yelled., source_sentence: Yes it did.
sentences: Yes., Two people are outside., Two women are sleeping., source_sentence: a man sleeps
sentences: the man is at home sleeping, a girl sits in a chair, two women paint in a field
pipeline_tag: sentence-similarity
model-index: name: SentenceTransformer based on BAAI/bge-large-en
results: task: type: triplet
name: Triplet
dataset: name: all nli test
type: all-nli-test
metrics: type: cosine_accuracy
value: 0.9536995006808897
name: Cosine Accuracy
verified: no, type: dot_accuracy
value: 0.0463004993191103
name: Dot Accuracy
verified: no, type: manhattan_accuracy
value: 0.9529429565743683
name: Manhattan Accuracy
verified: no, type: euclidean_accuracy
value: 0.9536995006808897
name: Euclidean Accuracy
verified: no, type: max_accuracy
value: 0.9536995006808897
name: Max Accuracy
verified: no
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Created: 2024-11-18 14:26:51