Model: tomaarsen/distilbert-base-uncased-sts
Author: tomaarsen
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, distilbert, sentence-similarity, feature-extraction, loss:CosineSimilarityLoss, en, arxiv:1908.10084, base_model:distilbert/distilbert-base-uncased, base_model:finetune:distilbert/distilbert-base-uncased, model-index, co2_eq_emissions, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: distilbert/distilbert-base-uncased
Card metadata: language: en
library_name: sentence-transformers
tags: sentence-transformers, sentence-similarity, feature-extraction, loss:CosineSimilarityLoss
base_model: distilbert/distilbert-base-uncased
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 woman is dancing.
sentences: A man is dancing., A woman is working as a nurse., A man is cutting up carrots., source_sentence: A man shoots a man.
sentences: The man is aiming a gun., Three men are playing guitars., Two dogs play in the snow., source_sentence: A woman is reading.
sentences: A woman is writing something., Three humans are walking a dog., A man is peeling shrimp., source_sentence: A baby is laughing.
sentences: The baby laughed in his car seat., A man is working on his laptop., The woman is slicing green onions., source_sentence: A plane is landing.
sentences: A animated airplane is landing., Some cyclists stop near a sign., A woman is riding an elephant.
pipeline_tag: sentence-similarity
co2_eq_emissions: emissions: 5.0253757813406565
energy_consumed: 0.012928607985913776
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: 0.067
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: SentenceTransformer based on distilbert/distilbert-base-uncased
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts dev
type: sts-dev
metrics: type: pearson_cosine
value: 0.87327521666058
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.872005730969712
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.846593999264053
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.84904284378845
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.8463188265785382
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.8489357272038075
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.8191213704375112
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.8225766807613754
name: Spearman Dot
verified: no, type: pearson_max
value: 0.87327521666058
name: Pearson Max
verified: no, type: spearman_max
value: 0.872005730969712
name: Spearman Max
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test
type: sts-test
metrics: type: pearson_cosine
value: 0.8418963866996422
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.8424081129373203
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.8347790870134395
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.835232698454204
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.8355968811193554
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.8359344563739193
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.7594306882662424
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.7548478461246698
name: Spearman Dot
verified: no, type: pearson_max
value: 0.8418963866996422
name: Pearson Max
verified: no, type: spearman_max
value: 0.8424081129373203
name: Spearman Max
verified: no
Likes: 1 | All-time downloads: 169
Created: 2024-05-02 08:16:12