Model: haf1g/result_model
Author: haf1g
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, xlm-roberta, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:80, loss:CoSENTLoss, en, dataset:sentence-transformers/all-nli, arxiv:1908.10084, base_model:abdeljalilELmajjodi/model, base_model:finetune:abdeljalilELmajjodi/model, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: abdeljalilELmajjodi/model
Card metadata: language: en
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:80, loss:CoSENTLoss
base_model: abdeljalilELmajjodi/model
widget: source_sentence: A man, woman, and child enjoying themselves on a beach.
sentences: A family of three is at the beach., There are two woman in this picture., There are children present, source_sentence: Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.
sentences: A married couple is walking next to each other., A man in a restaurant is waiting for his meal to arrive., The woman is waiting for a friend., source_sentence: A woman is walking across the street eating a banana, while a man is following with his briefcase.
sentences: Nobody has food., The woman is wearing black., A person eating., source_sentence: People waiting to get on a train or just getting off.
sentences: There are people just getting on a train, There are people waiting on a train., Two women hug each other., source_sentence: Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.
sentences: Two adults walk across a street., The woman is nake., A woman ordering pizza.
datasets: sentence-transformers/all-nli
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: pearson_cosine, spearman_cosine
model-index: name: SentenceTransformer based on abdeljalilELmajjodi/model
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: pair score evaluator dev
type: pair-score-evaluator-dev
metrics: type: pearson_cosine
value: -0.21785154941974993
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.04296719836868375
name: Spearman Cosine
verified: no
Likes: 0 | All-time downloads: 45
Created: 2025-05-24 11:35:14