Model: tomaarsen/bert-base-uncased-multi-task
Author: tomaarsen
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, loss:SoftmaxLoss, loss:CosineSimilarityLoss, en, arxiv:1908.10084, base_model:google-bert/bert-base-uncased, base_model:finetune:google-bert/bert-base-uncased, model-index, co2_eq_emissions, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: google-bert/bert-base-uncased
Card metadata: language: en
library_name: sentence-transformers
tags: sentence-transformers, sentence-similarity, feature-extraction, loss:SoftmaxLoss, loss:CosineSimilarityLoss
base_model: google-bert/bert-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: the guy is dead
sentences: The dog is dead., Men are sitting in the park., People are outside., source_sentence: Women are running.
sentences: Two women are running., A animated airplane is landing., The man sang and played his guitar., source_sentence: The gate is yellow.
sentences: The gate is blue., The cook is kneading the flour., A woman puts flour on a piece of meat., source_sentence: A parrot is talking.
sentences: A man is singing., Two men are standing in a room., Three dogs playing in the snow., source_sentence: the guy is paid
sentences: A man is receiving a contract., A man is racing on his bike., a dog chases a cat
pipeline_tag: sentence-similarity
co2_eq_emissions: emissions: 6.489379533908795
energy_consumed: 0.01669499908389665
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: 0.097
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: SentenceTransformer based on google-bert/bert-base-uncased
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts dev
type: sts-dev
metrics: type: pearson_cosine
value: 0.8287682657838144
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.8350670289838767
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.796834648877542
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.8041000103101458
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7968015917572032
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.803879972820206
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.7572392072098838
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.7696731029709327
name: Spearman Dot
verified: no, type: pearson_max
value: 0.8287682657838144
name: Pearson Max
verified: no, type: spearman_max
value: 0.8350670289838767
name: Spearman Max
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test
type: sts-test
metrics: type: pearson_cosine
value: 0.8014245911006761
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.8049359058371248
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.7934883900951029
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.793480619733962
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.7940198430253176
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.7942686805824551
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.698878713916111
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.6967434595564439
name: Spearman Dot
verified: no, type: pearson_max
value: 0.8014245911006761
name: Pearson Max
verified: no, type: spearman_max
value: 0.8049359058371248
name: Spearman Max
verified: no
Likes: 0 | All-time downloads: 114
Created: 2024-05-02 13:30:18