Model: chanbistec/mpnet-base-all-nli-triplet
Author: chanbistec
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, mpnet, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:557850, 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: base_model: microsoft/mpnet-base
datasets: sentence-transformers/all-nli
language: en
library_name: sentence-transformers
license: apache-2.0
metrics: cosine_accuracy, dot_accuracy, manhattan_accuracy, euclidean_accuracy, max_accuracy
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:557850, loss:MultipleNegativesRankingLoss
widget: source_sentence: A man is jumping unto his filthy bed.
sentences: A young male is looking at a newspaper while 2 females walks past him., The bed is dirty., The man is on the moon., source_sentence: A carefully balanced male stands on one foot near a clean ocean beach area.
sentences: A man is ouside near the beach., Three policemen patrol the streets on bikes, A man is sitting on his couch., source_sentence: The man is wearing a blue shirt.
sentences: Near the trashcan the man stood and smoked, A man in a blue shirt leans on a wall beside a road with a blue van and red car with water in the background., A man in a black shirt is playing a guitar., source_sentence: The girls are outdoors.
sentences: Two girls riding on an amusement part ride., a guy laughs while doing laundry, Three girls are standing together in a room, one is listening, one is writing on a wall and the third is talking to them., source_sentence: A construction worker peeking out of a manhole while his coworker sits on the sidewalk smiling.
sentences: A worker is looking out of a manhole., A man is giving a presentation., The workers are both inside the manhole.
model-index: name: MPNet base trained on AllNLI triplets
results: task: type: triplet
name: Triplet
dataset: name: all nli dev
type: all-nli-dev
metrics: type: cosine_accuracy
value: 0.9141859052247874
name: Cosine Accuracy
verified: no, type: dot_accuracy
value: 0.08444714459295262
name: Dot Accuracy
verified: no, type: manhattan_accuracy
value: 0.9097812879708383
name: Manhattan Accuracy
verified: no, type: euclidean_accuracy
value: 0.9097812879708383
name: Euclidean Accuracy
verified: no, type: max_accuracy
value: 0.9141859052247874
name: Max Accuracy
verified: no, task: type: triplet
name: Triplet
dataset: name: all nli test
type: all-nli-test
metrics: type: cosine_accuracy
value: 0.926463912846119
name: Cosine Accuracy
verified: no, type: dot_accuracy
value: 0.07353608715388107
name: Dot Accuracy
verified: no, type: manhattan_accuracy
value: 0.9187471629596006
name: Manhattan Accuracy
verified: no, type: euclidean_accuracy
value: 0.9179906188530791
name: Euclidean Accuracy
verified: no, type: max_accuracy
value: 0.926463912846119
name: Max Accuracy
verified: no
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Created: 2024-09-14 03:43:17