Model: nadshe/mpnet-base-all-nli-triplet
Author: nadshe
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, mpnet, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:100000, 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, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: microsoft/mpnet-base
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:100000, loss:MultipleNegativesRankingLoss
base_model: microsoft/mpnet-base
widget: source_sentence: People on bicycles waiting at an intersection.
sentences: More than one person on a bicycle is obeying traffic laws., The people are on skateboards., People waiting at a light on bikes., source_sentence: A dog is in the water.
sentences: A white dog with brown spots standing in water., A woman in a white outfit holds her purse while on a crowded bus., A wakeboarder is traveling across the water behind a ramp., source_sentence: The people are sleeping.
sentences: A man and young boy asleep in a chair., A father and his son cuddle while sleeping., Several people are sitting on the back of a truck outside., source_sentence: A dog is swimming.
sentences: A brown god relaxes on a brick sidewalk., The furry brown dog is swimming in the ocean., a black dog swimming in the water with a tennis ball in his mouth, source_sentence: A dog is swimming.
sentences: A woman in all black throws a football indoors while man looks at his cellphone in the background., A white dog with a stick in his mouth standing next to a black dog., A dog with yellow fur swims, neck deep, in water.
datasets: sentence-transformers/all-nli
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@20, cosine_precision@100, cosine_recall@20, cosine_recall@100, cosine_ndcg@5, cosine_ndcg@10, cosine_mrr@10, cosine_map@100, cosine_accuracy
model-index: name: MPNet base trained on AllNLI triplets
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: SciFact
type: SciFact
metrics: type: cosine_accuracy@1
value: 0.20666666666666667
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.32
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.3566666666666667
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.44666666666666666
name: Cosine Accuracy@10
verified: no, type: cosine_precision@20
value: 0.02966666666666666
name: Cosine Precision@20
verified: no, type: cosine_precision@100
value: 0.008100000000000001
name: Cosine Precision@100
verified: no, type: cosine_recall@20
value: 0.5323333333333333
name: Cosine Recall@20
verified: no, type: cosine_recall@100
value: 0.7158888888888888
name: Cosine Recall@100
verified: no, type: cosine_ndcg@5
value: 0.2783122239245016
name: Cosine Ndcg@5
verified: no, type: cosine_ndcg@10
value: 0.30597789579357104
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.2770621693121693
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.27762057926805195
name: Cosine Map@100
verified: no, task: type: triplet
name: Triplet
dataset: name: all nli test
type: all-nli-test
metrics: type: cosine_accuracy
value: 0.9275230765342712
name: Cosine Accuracy
verified: no
Likes: 0 | All-time downloads: 41
Created: 2025-06-06 23:25:03