Model: tomaarsen/all-mpnet-base-v2-sts
Author: tomaarsen
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, mpnet, sentence-similarity, feature-extraction, loss:CosineSimilarityLoss, en, arxiv:1908.10084, base_model:sentence-transformers/all-mpnet-base-v2, base_model:finetune:sentence-transformers/all-mpnet-base-v2, model-index, co2_eq_emissions, endpoints_compatible, region:us
Base models (finetune): id: sentence-transformers/all-mpnet-base-v2
Card metadata: language: en
library_name: sentence-transformers
tags: sentence-transformers, sentence-similarity, feature-extraction, loss:CosineSimilarityLoss
base_model: sentence-transformers/all-mpnet-base-v2
metrics: pearson_cosine, spearman_cosine, pearson_manhattan, spearman_manhattan, pearson_euclidean, spearman_euclidean, pearson_dot, spearman_dot, pearson_max, spearman_max
widget: source_sentence: A boy is vacuuming.
sentences: A little boy is vacuuming the floor., A woman is riding an elephant., People are sitting on benches., source_sentence: A man shoots a man.
sentences: The man is aiming a gun., A man is tracking in the wood., A woman leading a white horse., source_sentence: A plane in the sky.
sentences: A plane rides on a road., A tiger walks around aimlessly., Two dogs playing on the shore., source_sentence: A baby is laughing.
sentences: The baby laughed in his car seat., A toddler walks down a hallway., There are dogs in the forest., source_sentence: The gate is yellow.
sentences: The gate is blue., US spends $50m on carp invasion, Suicide bomber strikes in Syria
pipeline_tag: sentence-similarity
co2_eq_emissions: emissions: 9.73131270828096
energy_consumed: 0.025035406836808046
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: 0.122
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts dev
type: sts-dev
metrics: type: pearson_cosine
value: 0.9105652572605438
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.9097842782963139
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.8999692728646553
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.909018931820409
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.9003677259034385
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.9097842782963139
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.9105652590717077
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.9097842782963139
name: Spearman Dot
verified: no, type: pearson_max
value: 0.9105652590717077
name: Pearson Max
verified: no, type: spearman_max
value: 0.9097842782963139
name: Spearman Max
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test
type: sts-test
metrics: type: pearson_cosine
value: 0.8764756843077764
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.8733461504859822
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.8668031220817161
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.8725075805222068
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.8674774784108314
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.8733464312456004
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.8764756858675475
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.8733464312456004
name: Spearman Dot
verified: no, type: pearson_max
value: 0.8764756858675475
name: Pearson Max
verified: no, type: spearman_max
value: 0.8733464312456004
name: Spearman Max
verified: no
Likes: 0 | All-time downloads: 123
Created: 2024-05-02 08:05:31