Model: mrunali496/mpnet-base-all-nli-pair
Author: mrunali496
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, mpnet, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:314315, loss:MultipleNegativesRankingLoss, en, dataset:sentence-transformers/all-nli, arxiv:1908.10084, arxiv:1705.00652, base_model:microsoft/mpnet-base, base_model:finetune:microsoft/mpnet-base, model-index, endpoints_compatible, region:us
Base models (finetune): id: microsoft/mpnet-base
Card metadata: language: en
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:314315, loss:MultipleNegativesRankingLoss
base_model: microsoft/mpnet-base
widget: source_sentence: A person dressed in red and black outside a cracked wall.
sentences: A person in red and black near a wall., Two women are in a car with a man., a baby cries while getting their diaper changed, source_sentence: A man with shoulder length dark hair sits near the rocks of a waterfront while holding a cigarette in his right hand.
sentences: A man holding a cigarette., a pair of fencers practice together, Four skaters race each other., source_sentence: A man is reading a newspaper in a car dealership.
sentences: A man is at a car dealership., Guys wearing white shirts play around by the park., People are outside., source_sentence: A woman in black, seen from behind, sits next to a body of water.
sentences: A woman sits outside., There are families playing in a fountain, A player is hoping to score a run., source_sentence: AN older woman appears to read from a children's book in an indoor setting, while a seated gentleman in a service uniform looks on.
sentences: a man is sitting in a lawn chair, A woman reads from a book while a man watches., Others look while two men carve a babecued hog
datasets: sentence-transformers/all-nli
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy, cosine_accuracy_threshold, cosine_f1, cosine_f1_threshold, cosine_precision, cosine_recall, cosine_ap, cosine_mcc
model-index: name: SentenceTransformer based on microsoft/mpnet-base
results: task: type: binary-classification
name: Binary Classification
dataset: name: Unknown
type: unknown
metrics: type: cosine_accuracy
value: 0.9998531139835488
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: -0.043851763010025024
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.9999265515975029
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: -0.043851763010025024
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 1
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9998531139835488
name: Cosine Recall
verified: no, type: cosine_ap
value: 1
name: Cosine Ap
verified: no, type: cosine_mcc
value: 0
name: Cosine Mcc
verified: no, type: cosine_accuracy
value: 0.9998536085492608
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.09460622072219849
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.9999267989166241
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.09460622072219849
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 1
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9998536085492608
name: Cosine Recall
verified: no, type: cosine_ap
value: 1
name: Cosine Ap
verified: no, type: cosine_mcc
value: 0
name: Cosine Mcc
verified: no
Likes: 0 | All-time downloads: 57
Created: 2025-02-12 08:27:20