Model: tomaarsen/st-v3-test-mpnet-base-allnli-stsb
Author: tomaarsen
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, mpnet, sentence-similarity, feature-extraction, generated, en, arxiv:1908.10084, base_model:microsoft/mpnet-base, base_model:finetune:microsoft/mpnet-base, model-index, co2_eq_emissions, endpoints_compatible, region:us
Base models (finetune): id: microsoft/mpnet-base
Card metadata: language: en
library_name: sentence-transformers
tags: sentence-transformers, sentence-similarity, feature-extraction, generated
base_model: microsoft/mpnet-base
metrics: pearson_cosine, spearman_cosine, pearson_manhattan, spearman_manhattan, pearson_euclidean, spearman_euclidean, pearson_dot, spearman_dot, pearson_max, spearman_max
widget: source_sentence: Really? No kidding! 
sentences: yeah really no kidding, At the end of the fourth century was when baked goods flourished., The campaigns seem to reach a new pool of contributors., source_sentence: A sleeping man.
sentences: Two men are sleeping., Someone is selling oranges, the family is young, source_sentence: a guy on a bike
sentences: A tall person on a bike, A man is on a frozen lake., The women throw food at the kids, source_sentence: yeah really no kidding
sentences: oh uh-huh well no they wouldn't would they no, yeah i mean just when uh the they military paid for her education, The campaigns seem to reach a new pool of contributors., source_sentence: He ran like an athlete.
sentences:  Then he ran., yeah i mean just when uh the they military paid for her education, Similarly, OIM revised the electronic Grant Renewal Application to accommodate new information sought by LSC and to ensure greater ease for users.
pipeline_tag: sentence-similarity
co2_eq_emissions: emissions: 17.515467907816664
source: codecarbon
training_type: fine-tuning
on_cloud: no
cpu_model: 13th Gen Intel(R) Core(TM) i7-13700K
ram_total_size: 31.777088165283203
hours_used: 0.13
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: SentenceTransformer based on microsoft/mpnet-base
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts dev
type: sts-dev
metrics: type: pearson_cosine
value: 0.7331234146933103
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7435439430716654
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.7389474504545281
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.7473580293303098
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7356264396007131
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.7436137284782617
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.7093073700072118
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.7150453113301433
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7389474504545281
name: Pearson Max
verified: no, type: spearman_max
value: 0.7473580293303098
name: Spearman Max
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test
type: sts-test
metrics: type: pearson_cosine
value: 0.6750510843835755
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6615639695746663
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.6718085205234632
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6589482932175834
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.6693170762111229
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6578210069410166
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.6490291380804283
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.6335192601696299
name: Spearman Dot
verified: no, type: pearson_max
value: 0.6750510843835755
name: Pearson Max
verified: no, type: spearman_max
value: 0.6615639695746663
name: Spearman Max
verified: no
Likes: 0 | All-time downloads: 16
Created: 2024-04-04 18:52:49