Model: ayberkuckun/mpnet-base-all-nli-triplet
Author: ayberkuckun
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, mpnet, sentence-similarity, feature-extraction, dataset_size:100K<n<1M, loss:MultipleNegativesRankingLoss, en, 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
library_name: sentence-transformers
tags: sentence-transformers, sentence-similarity, feature-extraction, dataset_size:100K<n<1M, loss:MultipleNegativesRankingLoss
base_model: microsoft/mpnet-base
metrics: cosine_accuracy, dot_accuracy, manhattan_accuracy, euclidean_accuracy, max_accuracy
widget: source_sentence: The truth?
sentences: Is that true?, Some kids are napping., A dog is taking a nap., source_sentence: Just a bike
sentences: A child is riding a bike., A man is wearing white., A man is sleeping., source_sentence: girl sleeps
sentences: A girl sleeps, That doesn't seem fair., A man is running a race, source_sentence: Double pig.
sentences: The pig tripled., I hated talking to you., a woman is sleeping, source_sentence: a dog sleeps
sentences: a dog sleep under a tree., Tommy didn't know, who., A man is on a canoe.
pipeline_tag: sentence-similarity
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: 0.917831105710814
name: Cosine Accuracy
verified: no, type: dot_accuracy
value: 0.07867557715674361
name: Dot Accuracy
verified: no, type: manhattan_accuracy
value: 0.9138821385176185
name: Manhattan Accuracy
verified: no, type: euclidean_accuracy
value: 0.9147934386391251
name: Euclidean Accuracy
verified: no, type: max_accuracy
value: 0.917831105710814
name: Max Accuracy
verified: no, task: type: triplet
name: Triplet
dataset: name: all nli test
type: all-nli-test
metrics: type: cosine_accuracy
value: 0.9276743834165532
name: Cosine Accuracy
verified: no, type: dot_accuracy
value: 0.06733242548040551
name: Dot Accuracy
verified: no, type: manhattan_accuracy
value: 0.9255560599182933
name: Manhattan Accuracy
verified: no, type: euclidean_accuracy
value: 0.9234377364200332
name: Euclidean Accuracy
verified: no, type: max_accuracy
value: 0.9276743834165532
name: Max Accuracy
verified: no
Likes: 0 | All-time downloads: 144
Created: 2024-07-04 14:04:41