Model: tomaarsen/mpnet-base-allnli
Author: tomaarsen
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, tensorboard, safetensors, mpnet, sentence-similarity, feature-extraction, generated_with_trainer, dataset_size:100K<n<1M, loss:SoftmaxLoss, loss:CosineSimilarityLoss, en, dataset:nyu-mll/multi_nli, dataset:stanfordnlp/snli, dataset:mteb/stsbenchmark-sts, arxiv:1908.10084, base_model:microsoft/mpnet-base, base_model:finetune:microsoft/mpnet-base, license:apache-2.0, model-index, co2_eq_emissions, 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, generated_with_trainer, dataset_size:100K<n<1M, loss:SoftmaxLoss, loss:CosineSimilarityLoss
base_model: microsoft/mpnet-base
datasets: nyu-mll/multi_nli, stanfordnlp/snli, mteb/stsbenchmark-sts
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 taxi SUV drives past an urban construction site, as a man walks down the street in the other direction.
sentences: The woman is walking down the street with high heels., A man is reading documents in a binder., A man is chasing an SUV that is going in the same direction as him., source_sentence: Young man running towards a tennis court while another is waiting in the other side of the net.
sentences: The person is cooking a hamburger., A young man is running to grab a tennis ball., A woman is dancing near a fire., source_sentence: An asian woman sitting outside an outdoor market stall.
sentences: There are three workers, A woman sits outdoors., Five women sit at a table., source_sentence: All the same methods of analysis that are used with spoken languages apply successfully to signed languages.
sentences: One idea that's been going around at least since the 80s is that you can distinguish between Holds and Moves., You only need two-dimensional trigonometry if you know the distances to the two stars and their angular separation., A woman driving a car is talking to the man seated beside her., source_sentence: Rouen is the ancient center of Normandy's thriving textile industry, and the place of Joan of Arc's martyrdom ' a national symbol of resistance to tyranny.
sentences: The islands are part of France now instead of just colonies., Joan of Arc sacrificed her life at Rouen, which became an enduring symbol of opposition to tyranny., I don't know how cold it got last night.
pipeline_tag: sentence-similarity
co2_eq_emissions: emissions: 6.863209894681815
energy_consumed: 0.017656739339344318
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: 0.068
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: 0.8344104750902503
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.8294923795333993
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.8316959259914674
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.8331844817222047
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.8272941934077804
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.8294923795333993
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.8344104825648291
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.8294923795333993
name: Spearman Dot
verified: no, type: pearson_max
value: 0.8344104825648291
name: Pearson Max
verified: no, type: spearman_max
value: 0.8331844817222047
name: Spearman Max
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test
type: sts-test
metrics: type: pearson_cosine
value: 0.7776062173443514
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7642518713703523
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.7788269653910183
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.7659203139768728
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7763456809736229
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.7642518713703523
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.7776062158976489
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.7642518713703523
name: Spearman Dot
verified: no, type: pearson_max
value: 0.7788269653910183
name: Pearson Max
verified: no, type: spearman_max
value: 0.7659203139768728
name: Spearman Max
verified: no
Likes: 0 | All-time downloads: 218
Created: 2024-06-05 12:24:26